Cell type-associated traits map for the [Lake_2017_VisualCortex_Excitatory neuron 5b][link to cell ontology]. Due to the large number of UKBB panel traits, this figure shows the non-UKBB traits with a CSEA p (chi2) < 1e-04 as default, and users can change it to 1e-03, 1e-05, or 1e-06. For each cell type and trait association pair (shown as an edge in the figure), there may be multiple TAG sets, each defined at a different threshold. The pair with the minimum p-value is shown in the figure, with the p-value showing along each edge. The number of edges in the figure is thus less than (or equal to) the number of entries in the table below.” The association association is listed in the table at bottom, Because each trait might have multiple TAG sets defined at different thresholds, multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns).
Table. List of Cell type-associated traits pairs for [Lake_2017_VisualCortex_Excitatory neuron 5b]. If the network above is too complicated. the users could obtain the association information from the table at bottom. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.
Trait Name | Trait Full Name | Panel | Author | Year | Cases* | Controls | TAG Set Threshold |
CSEA p (chi2) |
---|---|---|---|---|---|---|---|---|
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 5.00e-2 | 2.20e-10 |
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-2 | 6.73e-7 |
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-3 | 5.68e-5 |
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-4 | 2.04e-3 |
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-5 | 1.38e-2 |
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 5.00e-2 | 3.14e-3 |
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 1.00e-2 | 2.59e-2 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 5.00e-2 | 2.35e-6 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-2 | 1.80e-4 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-3 | 4.17e-3 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-4 | 1.66e-2 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 4.80e-2 |
Amyotrophic Lateral Sclerosis | Amyotrophic Lateral Sclerosis | MTC | van-Rheenen | 2016 | 12577 | 23475 | 5.00e-2 | 2.16e-2 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Boraska | 2014 | 2907 | 14860 | 5.00e-2 | 2.85e-2 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Duncan | 2017 | 3495 | 10982 | 5.00e-2 | 7.78e-3 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Duncan | 2017 | 3495 | 10982 | 1.00e-2 | 4.07e-2 |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 5.00e-2 | 1.36e-4 |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 1.00e-2 | 1.06e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 5.00e-2 | 2.04e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-3 | 6.90e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-4 | 7.93e-3 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 5.00e-2 | 1.46e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-2 | 1.33e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-3 | 9.43e-3 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-4 | 2.90e-3 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 5.00e-2 | 7.01e-3 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 1.00e-2 | 2.64e-3 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 1.00e-3 | 4.57e-3 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 5.10e-5 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-2 | 5.11e-3 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 2.52e-3 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 5.00e-2 | 4.16e-3 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 1.00e-2 | 4.80e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 1.00e-3 | 2.95e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 5.00e-2 | 1.93e-4 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-2 | 1.33e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 5.00e-2 | 3.06e-5 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-2 | 8.95e-4 |
Depressive Symptoms | Depressive Symptoms | ETC | Okbay | 2016 | 122210 | 58835 | 5.00e-2 | 1.49e-3 |
Depressive Symptoms | Depressive Symptoms | ETC | Okbay | 2016 | 122210 | 58835 | 1.00e-2 | 1.40e-3 |
Depressive Symptoms | Depressive Symptoms | ETC | Okbay | 2016 | 122210 | 58835 | 1.00e-3 | 1.45e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 6.98e-5 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.74e-3 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 5.00e-2 | 6.98e-5 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-2 | 3.74e-3 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 5.00e-2 | 3.53e-3 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 1.00e-2 | 3.62e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 5.00e-2 | 2.31e-2 |
Insomnia | Insomnia | MTC | Hammerschlag | 2017 | 12863 | 40776 | 5.00e-2 | 2.50e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 5.00e-2 | 1.50e-4 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-2 | 7.64e-3 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-3 | 3.55e-2 |
Internalizing Problems | Internalizing Problems | ETC | Benke | 2014 | NA | 4596 | 5.00e-2 | 1.75e-4 |
Internalizing Problems | Internalizing Problems | ETC | Benke | 2014 | NA | 4596 | 1.00e-2 | 2.04e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 5.00e-2 | 4.73e-3 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 1.00e-2 | 3.52e-2 |
MDD | Major Depressive Disorder | MTC | McMahon | 2010 | 6686 | 9068 | 5.00e-2 | 1.23e-5 |
MDD | Major Depressive Disorder | MTC | McMahon | 2010 | 6686 | 9068 | 1.00e-2 | 5.64e-4 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 1.59e-5 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 1.00e-2 | 1.46e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 1.00e-3 | 2.70e-3 |
MDD | Major Depressive Disorder | ETC | Wray | 2018 | 16823 | 25632 | 5.00e-2 | 4.87e-6 |
MDD | Major Depressive Disorder | ETC | Wray | 2018 | 16823 | 25632 | 1.00e-2 | 9.06e-5 |
MDD | Major Depressive Disorder | ETC | Wray | 2018 | 16823 | 25632 | 1.00e-3 | 6.44e-3 |
MDD | Major Depressive Disorder | ETC | Wray | 2018 | 16823 | 25632 | 1.00e-5 | 5.13e-3 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.57e-2 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 1.00e-2 | 1.71e-14 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 1.00e-3 | 5.19e-11 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 1.00e-4 | 5.99e-8 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 1.00e-5 | 1.38e-6 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 5.00e-2 | 1.01e-13 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-2 | 3.22e-6 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-3 | 2.17e-3 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-4 | 4.01e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 5.00e-2 | 1.07e-3 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-2 | 1.93e-2 |
Partial Epilepsy | Partial Epilepsy | MTC | Kasperaviciute | 2010 | 3445 | 6935 | 5.00e-2 | 1.13e-3 |
Partial Epilepsy | Partial Epilepsy | MTC | Kasperaviciute | 2010 | 3445 | 6935 | 1.00e-2 | 2.95e-2 |
Prostate Cancer | Prostate Cancer | MTC | Yeager | 2007 | 1172 | 1157 | 1.00e-2 | 4.29e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 5.00e-2 | 3.93e-11 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-2 | 1.46e-7 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-3 | 3.50e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-4 | 5.77e-3 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 5.00e-2 | 6.33e-5 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-2 | 9.24e-5 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-3 | 5.57e-4 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-4 | 8.38e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 1.55e-2 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 5.00e-2 | 2.13e-5 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 1.00e-2 | 7.53e-3 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 1.00e-3 | 1.02e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 5.00e-2 | 1.52e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 5.00e-2 | 8.17e-3 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 5.00e-2 | 1.12e-2 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 5.00e-2 | 1.03e-7 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 1.00e-2 | 7.69e-8 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 1.00e-3 | 4.05e-3 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 2.60e-2 |
Alcohol Consumption | Alcohol Consumption Men Dichotomous | MTC | Schumann | 2016 | NA | 26991 | 1.00e-2 | 2.48e-2 |
Alcohol Consumption | Alcohol Consumption Men Dichotomous | MTC | Schumann | 2016 | NA | 26991 | 1.00e-3 | 4.00e-3 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 5.00e-2 | 8.31e-6 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-2 | 1.90e-2 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 5.00e-2 | 1.43e-2 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 1.00e-2 | 3.98e-3 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 4.20e-3 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 8.52e-3 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 5.00e-2 | 2.45e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-2 | 1.93e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 5.00e-2 | 6.77e-3 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 1.00e-2 | 4.47e-2 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 5.00e-2 | 2.20e-3 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-2 | 1.24e-3 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-3 | 1.97e-3 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-4 | 4.35e-2 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-5 | 2.89e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 5.00e-2 | 7.70e-3 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 5.00e-2 | 1.14e-3 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-4 | 4.44e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 2.23e-4 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 5.54e-3 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 5.75e-3 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 2.62e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 3.68e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 5.00e-2 | 1.37e-2 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 3.76e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 5.00e-2 | 1.98e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-2 | 2.30e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 9.80e-3 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-4 | 2.21e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 3.80e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-2 | 1.55e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 2.58e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-2 | 1.85e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-3 | 3.65e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 2.14e-4 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 1.43e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 3.11e-2 |
Anxiety | Anxiety Dichotomous | MTC | Otowa | 2016 | 7016 | 14745 | 5.00e-2 | 4.87e-2 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 5.00e-2 | 3.31e-2 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 1.00e-2 | 3.93e-4 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 1.00e-3 | 2.89e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 5.00e-2 | 5.88e-6 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 1.00e-2 | 2.98e-4 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 1.00e-3 | 2.62e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.61e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.13e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 1.85e-3 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.35e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.43e-2 |
Blood Cells | Platelet Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.27e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 6.87e-3 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 1.00e-2 | 2.92e-3 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 1.00e-5 | 9.70e-3 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 5.00e-2 | 2.53e-2 |
BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 5.00e-2 | 4.63e-5 |
BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-2 | 6.91e-5 |
BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-3 | 1.40e-2 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 5.00e-2 | 6.13e-5 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 1.00e-2 | 2.81e-3 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 5.00e-2 | 3.48e-4 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 1.00e-2 | 1.88e-2 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 1.00e-3 | 7.09e-3 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 1.00e-4 | 4.53e-2 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 1.00e-5 | 1.40e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 5.00e-2 | 8.45e-3 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 5.00e-2 | 4.35e-5 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-2 | 3.11e-2 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-3 | 4.47e-3 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-4 | 4.09e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 7.95e-5 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.43e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.64e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.41e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.07e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.15e-4 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.33e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.90e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 7.89e-6 |
BMI Physical Activity Interaction | BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 5.51e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.78e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.10e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.75e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.25e-8 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 9.29e-5 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 1.79e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.34e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.25e-4 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 4.46e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.00e-7 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.19e-5 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 2.00e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 3.14e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 1.66e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 3.25e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 5.00e-2 | 1.28e-7 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-2 | 6.29e-4 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-3 | 6.15e-3 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-4 | 1.12e-3 |
Cognitive Functions | Memory | MTC | Davies | 2016 | NA | 112067 | 5.00e-2 | 7.81e-4 |
Cognitive Functions | Memory | MTC | Davies | 2016 | NA | 112067 | 1.00e-2 | 2.45e-2 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 5.00e-2 | 1.45e-4 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 1.00e-2 | 2.98e-3 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 1.00e-3 | 2.94e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 5.00e-2 | 2.41e-3 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 5.00e-2 | 4.33e-2 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 5.00e-2 | 4.14e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 1 | MTC | Bustamante | 2016 | 1339 | 5064 | 5.00e-2 | 3.18e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 5.00e-2 | 2.12e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-2 | 2.75e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 3684 | 5.00e-2 | 3.48e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 2.49e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 2.05e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.60e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 8.47e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 4.96e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 5.00e-2 | 2.48e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 9.19e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 3.00e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 5.00e-2 | 2.69e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 4.26e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 1.86e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7432 | 5.00e-2 | 2.08e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-2 | 1.23e-10 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-3 | 1.73e-6 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-4 | 5.69e-7 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-5 | 1.47e-4 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 2.15e-4 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-2 | 3.18e-5 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-3 | 2.81e-5 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 9.30e-3 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 2.30e-9 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-2 | 1.22e-6 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-3 | 4.84e-4 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 3.06e-2 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-5 | 4.01e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease With Diabetes | MTC | Pattaro | 2016 | NA | 11522 | 5.00e-2 | 7.39e-3 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease With Diabetes | MTC | Pattaro | 2016 | NA | 11522 | 1.00e-2 | 7.32e-3 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 6.90e-5 |
Facial Shape | Mod11 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.06e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.38e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.89e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.89e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.88e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.12e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.43e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.90e-2 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.39e-3 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.40e-2 |
Facial Shape | Mod2 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.79e-3 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.84e-2 |
Facial Shape | Mod29 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.14e-3 |
Facial Shape | Mod29 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 9.92e-4 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.06e-2 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.12e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.79e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.29e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.49e-4 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.24e-2 |
Facial Shape | Mod57 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.48e-3 |
Facial Shape | Mod57 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.88e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.18e-3 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.50e-2 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.35e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.16e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.40e-3 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 8.44e-3 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.57e-3 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 5.00e-2 | 2.58e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 1.00e-2 | 1.16e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 5.00e-2 | 2.30e-3 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 5.00e-2 | 2.01e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.53e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 9.62e-4 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.82e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 2.38e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 1.17e-2 |
Glucose Stimulated Insulin Secretion | Incremental Insulin At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 2.91e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.77e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.88e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 4.82e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.96e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 2.51e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin | MTC | Manning | 2012 | NA | 51750 | 5.00e-2 | 1.68e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 5.00e-2 | 1.08e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-2 | 6.23e-3 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 3.93e-2 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 4.34e-4 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 1.70e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 5.00e-2 | 1.47e-3 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 5.00e-2 | 5.75e-3 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 2.48e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 8.41e-3 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 4.97e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 1.98e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 4.84e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 3.62e-3 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 7.35e-3 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Mass | MTC | Suchindran | 2010 | NA | 6668 | 5.00e-2 | 3.52e-2 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 1.09e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 5.00e-2 | 4.63e-2 |
Longevity | Age 85 Or Greater | MTC | Deelen | 2014 | 7729 | 16121 | 1.00e-3 | 9.98e-3 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 9.16e-3 |
Personality Big5 | Agreeableness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.68e-2 |
Personality Big5 | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 2.64e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 8.78e-3 |
Pubertal Anthropometrics | Late Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 6.32e-3 |
Pubertal Anthropometrics | Late Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 3.95e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 1.14e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 1.41e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-2 | 3.84e-2 |
Reproductive Behavior | Age First Birth Male | MTC | Barban | 2016 | NA | 48408 | 5.00e-2 | 5.55e-3 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 5.00e-2 | 1.42e-4 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-2 | 2.10e-2 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 5.00e-2 | 5.08e-3 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 5.00e-2 | 8.82e-3 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 5.00e-2 | 3.32e-2 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 1.00e-2 | 4.64e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 5.48e-5 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 1.00e-4 | 1.78e-2 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 5.00e-2 | 2.11e-3 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 1.00e-2 | 1.47e-2 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 1.00e-3 | 2.99e-2 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 1.00e-4 | 3.00e-3 |
Circadian Rhythm | Sleep Chronotype | MTC | Jones | 2016 | NA | 127898 | 5.00e-2 | 2.52e-7 |
Circadian Rhythm | Sleep Chronotype | MTC | Jones | 2016 | NA | 127898 | 1.00e-2 | 5.12e-5 |
Circadian Rhythm | Sleep Chronotype | MTC | Jones | 2016 | NA | 127898 | 1.00e-3 | 3.64e-3 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 3.21e-2 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-2 | 4.22e-2 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 5.00e-2 | 1.02e-10 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-2 | 1.85e-4 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-3 | 9.98e-4 |
Social Deprivation | Household Income | MTC | Hill | 2016 | NA | 112005 | 5.00e-2 | 4.77e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-2 | 3.32e-3 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.90e-2 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 6.19e-3 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.45e-2 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 5.00e-2 | 1.75e-4 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-2 | 2.85e-3 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-3 | 2.53e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-5 | 2.95e-2 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 7.61e-3 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 3.38e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.07e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.13e-3 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 8.20e-3 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 3.43e-2 |
Waist Format 1 | Waist Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 4.44e-4 |
Waist Format 1 | Waist Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.07e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.06e-2 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 5.00e-2 | 8.69e-7 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 1.00e-2 | 2.91e-4 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 1.00e-3 | 3.17e-2 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-2 | 4.99e-9 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-3 | 3.44e-6 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-4 | 1.77e-5 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-5 | 9.99e-5 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 5.00e-2 | 4.30e-6 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 1.00e-2 | 1.64e-3 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 1.00e-3 | 2.58e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 3.15e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 2.21e-2 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-3 | 2.41e-12 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-4 | 4.07e-8 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-5 | 6.33e-5 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 5.00e-2 | 2.68e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 5.00e-2 | 9.41e-3 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 2.24e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 5.00e-2 | 7.88e-5 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-2 | 2.47e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-3 | 1.44e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-4 | 2.88e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 4.38e-5 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 7.74e-3 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 5.00e-2 | 1.80e-3 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 1.00e-2 | 1.52e-2 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 1.00e-3 | 1.34e-2 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 7.36e-3 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 1.00e-4 | 3.76e-2 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 5.00e-2 | 1.06e-3 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 1.00e-2 | 1.32e-3 |
Sleep | Diurnal inactivity | ETC | Jones | 2019 | NA | 84757 | 5.00e-2 | 7.94e-5 |
Sleep | Diurnal inactivity | ETC | Jones | 2019 | NA | 84757 | 1.00e-2 | 2.01e-4 |
Sleep | Diurnal inactivity | ETC | Jones | 2019 | NA | 84757 | 1.00e-3 | 3.40e-2 |
Sleep | Diurnal inactivity | ETC | Jones | 2019 | NA | 84757 | 1.00e-5 | 3.88e-3 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 1.19e-5 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 1.80e-2 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 9.30e-3 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-5 | 2.45e-2 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 5.37e-9 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-3 | 3.13e-9 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-4 | 1.92e-6 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-5 | 5.99e-6 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 3.15e-11 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 5.64e-7 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-3 | 9.25e-5 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-4 | 2.65e-3 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-5 | 6.36e-3 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 3.15e-11 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 5.64e-7 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-3 | 9.25e-5 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-4 | 2.65e-3 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-5 | 6.36e-3 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 5.00e-2 | 2.28e-3 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 5.00e-2 | 5.22e-15 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-2 | 3.48e-9 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-3 | 2.52e-4 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-4 | 2.50e-2 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 5.00e-2 | 9.93e-6 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 1.00e-2 | 1.53e-4 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 1.00e-3 | 6.48e-3 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 1.00e-4 | 2.63e-2 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-2 | 5.50e-14 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-3 | 6.99e-11 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-4 | 9.00e-8 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-5 | 1.81e-3 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 2.33e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-2 | 3.68e-8 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-3 | 5.38e-6 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-4 | 3.43e-5 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-5 | 7.58e-4 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-3 | 6.97e-13 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-4 | 2.82e-7 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-5 | 3.83e-7 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-2 | 1.29e-19 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-3 | 2.96e-13 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-4 | 1.06e-6 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-5 | 1.05e-5 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 5.00e-2 | 2.76e-2 |
Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 1.00e-2 | 2.53e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 1.05e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 2.35e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 2.41e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 4.49e-7 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 4.61e-7 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 4.21e-4 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-2 | 1.94e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 5.00e-2 | 1.96e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 2.21e-2 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 1.00e-2 | 2.21e-12 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 1.00e-3 | 5.60e-10 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 1.00e-4 | 9.77e-8 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 1.00e-5 | 1.13e-5 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 5.00e-2 | 1.84e-6 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-2 | 9.51e-3 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-3 | 1.93e-3 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-4 | 1.19e-3 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-5 | 3.49e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 5.00e-2 | 8.77e-5 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 1.00e-2 | 1.20e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 1.00e-3 | 4.68e-2 |
Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 5.00e-2 | 6.15e-3 |
Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 1.00e-2 | 5.69e-3 |
Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 1.00e-3 | 3.85e-3 |
Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 1.00e-4 | 1.14e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 5.00e-2 | 1.39e-5 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-2 | 4.48e-4 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-3 | 1.17e-3 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 5.00e-2 | 2.15e-8 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-2 | 2.91e-3 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-3 | 6.44e-3 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-4 | 3.61e-2 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-5 | 3.65e-2 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 5.00e-2 | 4.52e-11 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 1.00e-2 | 7.16e-7 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 1.00e-3 | 5.73e-6 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 1.00e-4 | 2.62e-4 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 1.00e-5 | 2.63e-5 |
Positive affect | Positive affect | ETC | Baselmans | 2019 | NA | 410603 | 5.00e-2 | 4.79e-3 |
Positive affect | Positive affect | ETC | Baselmans | 2019 | NA | 410603 | 1.00e-2 | 3.07e-2 |
Positive affect | Positive affect | ETC | Baselmans | 2019 | NA | 410603 | 1.00e-3 | 3.90e-2 |
Positive affect | Positive affect | ETC | Baselmans | 2019 | NA | 410603 | 1.00e-4 | 2.48e-2 |
Positive affect | Positive affect | ETC | Baselmans | 2019 | NA | 410603 | 1.00e-5 | 1.04e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-2 | 1.21e-10 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-3 | 6.47e-6 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-4 | 4.31e-4 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-5 | 1.42e-4 |
Erectile dysfunction | Erectile dysfunction | ETC | Bovijn | 2018 | 6175 | 217630 | 5.00e-2 | 1.78e-2 |
Sleep | Sleep duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 8.45e-8 |
Sleep | Sleep duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 1.06e-5 |
Sleep | Sleep duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.02e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 5.35e-14 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 6.74e-13 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.80e-9 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 4.85e-3 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 7.93e-3 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 1.17e-5 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 3.88e-6 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.13e-5 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 5.98e-5 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 2.25e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 8.99e-8 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 1.73e-5 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 8.06e-3 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 3.50e-3 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.15e-2 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.63e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.38e-2 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.48e-2 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.65e-2 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.20e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.16e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.20e-2 |
Fimbria volume | Fimbria volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.45e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.42e-3 |
Hippocampal volume | Hippocampal fissure volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 5.78e-3 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.89e-2 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.68e-2 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 9.40e-3 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.85e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.15e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.64e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.48e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 6.59e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.21e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.09e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-4 | 2.97e-2 |
Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 7.37e-3 |
Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.15e-2 |
Parasubiculum volume | Presubiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.21e-2 |
Parasubiculum volume | Presubiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 6.47e-3 |
Parasubiculum volume | Presubiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.89e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 7.22e-5 |
ACR | Urinary albumin to creatinine ratio | ETC | Zanetti | 2019 | NA | 218759 | 5.00e-2 | 3.80e-3 |
ACR | Urinary albumin to creatinine ratio | ETC | Zanetti | 2019 | NA | 218759 | 1.00e-2 | 7.81e-3 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 5.00e-2 | 3.83e-4 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 1.00e-2 | 3.28e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 5.00e-2 | 8.56e-6 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-2 | 4.96e-3 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 5.00e-2 | 2.56e-6 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 2.35e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-2 | 3.18e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 4.73e-3 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 5.00e-2 | 4.89e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-2 | 1.73e-2 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 5.00e-2 | 4.37e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 5.47e-3 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-2 | 4.91e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-4 | 1.74e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-5 | 3.84e-2 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 3.54e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 5.00e-2 | 1.06e-5 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-2 | 7.64e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 5.00e-2 | 2.14e-4 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 7.69e-6 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 1.00e-2 | 3.68e-3 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 1.00e-5 | 1.88e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.36e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 4.41e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 4.54e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 1.62e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 9.83e-3 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-2 | 4.06e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.21e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT3) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.79e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.25e-5 |
Periodontal disease | Periodontal disease related phenotype (PCT5) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 7.97e-4 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 4.46e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 1.34e-2 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 1.71e-3 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 1.02e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 5.00e-2 | 4.80e-4 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 1.00e-2 | 1.68e-3 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 1.00e-2 | 3.24e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-2 | 2.10e-9 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-3 | 1.16e-7 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-4 | 3.15e-4 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-5 | 3.25e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 4.03e-3 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-2 | 5.57e-8 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-3 | 6.65e-7 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-4 | 1.86e-5 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-5 | 4.57e-4 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 7.94e-10 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-2 | 2.30e-8 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-3 | 3.72e-4 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-4 | 3.39e-3 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-5 | 3.27e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 5.00e-2 | 4.78e-5 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 1.00e-2 | 6.40e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 1.41e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-2 | 4.80e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 5.00e-2 | 4.25e-4 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 6.35e-3 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-3 | 2.11e-2 |
Knee pain | Knee pain | ETC | Meng W | 2019 | 22,204 | 149,312 | 5.00e-2 | 8.55e-3 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.55e-3 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-3 | 7.03e-3 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-4 | 2.97e-2 |
Frontal lobe volume | Frontal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 1.66e-2 |
Frontal lobe volume | Frontal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 7.23e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-2 | 5.94e-11 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-3 | 2.64e-9 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-4 | 8.79e-10 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-5 | 1.04e-12 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-2 | 1.03e-16 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-3 | 3.97e-12 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-4 | 5.68e-10 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-5 | 1.62e-5 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-3 | 1.36e-15 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-4 | 1.50e-16 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-5 | 1.97e-13 |
Birth | Early spontaneous preterm birth | ETC | Liu X | 2019 | 1,139 | 60,148 | 5.00e-2 | 1.66e-2 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 5.00e-2 | 1.45e-3 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-2 | 3.12e-8 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-3 | 1.59e-5 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-4 | 3.08e-4 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-5 | 1.96e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 1.69e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 1.66e-6 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 2.15e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 1.64e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-2 | 1.17e-8 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-3 | 1.34e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-4 | 2.16e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-5 | 8.17e-3 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-3 | 1.93e-11 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-4 | 3.52e-8 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-5 | 5.57e-7 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 434,794 | 1.00e-4 | 3.78e-14 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 434,794 | 1.00e-5 | 1.15e-10 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 5.00e-2 | 2.48e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 4.43e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 5.00e-2 | 3.51e-6 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 2.11e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 5.00e-2 | 4.27e-4 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 4.44e-3 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 7.00e-5 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 1.86e-2 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 5.00e-2 | 1.04e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 1.52e-2 |
Birth weight | Birth weight variance | ETC | Wang H | 2019 | NA | 197,758 | 5.00e-2 | 3.45e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 1.94e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 1.34e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 4.33e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-2 | 2.38e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 1.37e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 1.10e-2 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 5.00e-2 | 3.13e-2 |
BMI by age | BMI at 1 year old | ETC | Helgeland O | 2019 | NA | 6,970 | 5.00e-2 | 1.59e-3 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 4.51e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-2 | 4.45e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 5.00e-2 | 2.61e-3 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 5.00e-2 | 5.77e-3 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 2.07e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 1.93e-4 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-2 | 3.90e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 2.28e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-2 | 1.45e-5 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-3 | 1.18e-3 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-4 | 1.24e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-5 | 3.83e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 1.37e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-3 | 3.43e-2 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 5.00e-2 | 6.74e-7 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 1.00e-2 | 2.69e-4 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-2 | 4.98e-12 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-3 | 7.31e-7 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-4 | 2.74e-5 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-5 | 7.63e-4 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.49e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.19e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 5.80e-6 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.63e-3 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.34e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.26e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-2 | 8.20e-5 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-3 | 9.69e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 2.50e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 3.88e-2 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 1.00e-2 | 3.58e-10 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 1.00e-3 | 2.36e-6 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 1.00e-4 | 2.16e-6 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 1.00e-5 | 1.21e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 8.10e-10 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-2 | 9.60e-9 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 1.71e-5 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-4 | 1.87e-4 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-5 | 2.38e-3 |
Snoring | Snoring male | ETC | Campos AI | 2020 | 90,806 | 99,165 | 5.00e-2 | 6.39e-5 |
Snoring | Snoring male | ETC | Campos AI | 2020 | 90,806 | 99,165 | 1.00e-2 | 7.19e-7 |
Snoring | Snoring male | ETC | Campos AI | 2020 | 90,806 | 99,165 | 1.00e-3 | 4.99e-4 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 5.00e-2 | 6.04e-6 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-2 | 2.34e-4 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-3 | 1.41e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 1.87e-5 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-2 | 1.53e-3 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 5.00e-2 | 9.86e-3 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 5.00e-2 | 6.22e-3 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 6.50e-4 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-2 | 1.23e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 5.00e-2 | 2.10e-3 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 1.00e-2 | 3.52e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 1.00e-3 | 1.30e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 3.64e-2 |
* If the number of cases is 0/NA, it means the phenotype is a continuous data type and the number of controls is the total number of samples.