Cell type-associated traits map for the [Madissoon_2020_spleen_DC 2][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 [Madissoon_2020_spleen_DC 2]. 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) |
---|---|---|---|---|---|---|---|---|
Age At Death | Age At Death | MTC | Pilling | 2016 | NA | 45627 | 5.00e-2 | 1.38e-2 |
Age At Death | Age At Death | MTC | Pilling | 2016 | NA | 45627 | 1.00e-2 | 4.03e-2 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 1.31e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 5.00e-2 | 8.50e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 2.95e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 5.67e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 8.48e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 5.00e-2 | 5.64e-5 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-2 | 5.74e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-3 | 2.18e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-4 | 6.69e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 4.36e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 5.00e-2 | 1.20e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-2 | 1.09e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 3.61e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-4 | 4.46e-5 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-5 | 1.21e-4 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Duncan | 2017 | 3495 | 10982 | 5.00e-2 | 4.68e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 4.55e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 5.00e-2 | 1.13e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-2 | 2.78e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-4 | 4.02e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 3.59e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 4.61e-2 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 5.00e-2 | 1.20e-4 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 6.47e-3 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-2 | 7.48e-3 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 5.00e-2 | 1.54e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 1.00e-2 | 3.79e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 5.00e-2 | 4.13e-3 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-3 | 3.77e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-4 | 1.38e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-5 | 6.90e-3 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-3 | 8.03e-3 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-4 | 8.33e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 7.29e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 4.98e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 5.28e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 9.36e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 8.33e-3 |
CD | Crohn's disease | MTC | Lee | 2017 | 1762 | 972 | 5.00e-2 | 9.89e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-4 | 3.43e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-5 | 2.77e-3 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.87e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 2.94e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-3 | 1.94e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 5.00e-2 | 2.87e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-2 | 2.94e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-3 | 1.94e-2 |
Fasting Proinsulin | Fasting Proinsulin | MTC | Strawbridge | 2011 | NA | 16378 | 5.00e-2 | 1.68e-2 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 5.00e-2 | 4.15e-2 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 1.00e-3 | 1.17e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 5.00e-2 | 3.70e-3 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 2.30e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 1.24e-2 |
Insomnia | Insomnia | MTC | Hammerschlag | 2017 | 12863 | 40776 | 5.00e-2 | 4.98e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 3.38e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 2.65e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 1.87e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 2.70e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 1.72e-3 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 1.59e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 5.00e-2 | 1.12e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-2 | 3.66e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-3 | 4.44e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-4 | 2.11e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 1.89e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 2.55e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 1.28e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 1.17e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-2 | 5.60e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 1.54e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-4 | 1.26e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-5 | 3.29e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 8.19e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 9.42e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 2.69e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 1.10e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 5.00e-2 | 1.62e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-2 | 3.28e-4 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-3 | 2.09e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-4 | 5.65e-4 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-5 | 6.59e-6 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 3.44e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-3 | 2.83e-2 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 5.00e-2 | 8.67e-3 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-2 | 1.71e-2 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-3 | 8.33e-5 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-2 | 4.03e-3 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-3 | 8.33e-5 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 5.00e-2 | 1.87e-3 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 5.00e-2 | 3.99e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 4.40e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.02e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 9.20e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 1.30e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 6.16e-5 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 5.00e-2 | 9.11e-3 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 1.00e-2 | 2.72e-2 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 1.00e-3 | 2.58e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 5.00e-2 | 1.67e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-4 | 3.46e-2 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-5 | 3.41e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 5.00e-2 | 3.09e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Boger | 2011 | NA | 31580 | 5.00e-2 | 3.99e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Diabetics | MTC | Teumer | 2016 | NA | 5825 | 5.00e-2 | 5.00e-3 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 2.54e-2 |
Anthropometric Extremes | Extreme Waist Hip Ratio | MTC | Berndt | 2013 | 4774 | 5481 | 5.00e-2 | 2.37e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 5.00e-2 | 3.44e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 5.00e-2 | 4.89e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Women | MTC | Randall | 2013 | NA | 42969 | 5.00e-2 | 5.84e-3 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 5.00e-2 | 6.36e-3 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.35e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 5.11e-3 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.41e-2 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.06e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 5.16e-3 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.55e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.15e-5 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.87e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.89e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 5.54e-3 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.53e-3 |
Blood Cells | Platelet Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.25e-3 |
Blood Cells | Platelet Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.75e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.26e-3 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 9.79e-3 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.91e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.43e-4 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.85e-3 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 5.00e-2 | 3.04e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 5.43e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 6.52e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-4 | 7.40e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-5 | 2.46e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 4.03e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 2.29e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 4.37e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 1.41e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-5 | 7.40e-3 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 5.00e-2 | 5.10e-3 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-2 | 2.85e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-4 | 2.21e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 3.77e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 6.34e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 8.09e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 5.27e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.40e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 2.69e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.29e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 1.22e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 3.84e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.94e-3 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.10e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 4.07e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 1.00e-2 | 2.82e-2 |
BMI Physical Activity Interaction | BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.10e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 6.75e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.34e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 5.12e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 5.54e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.10e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.48e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.78e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 3.72e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 9.09e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 4.96e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density All | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 2.55e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 2.03e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 1.11e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 3.29e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 15 to 30 | MTC | Medina-Gomez | 2018 | NA | 4180 | 5.00e-2 | 1.30e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 5.00e-2 | 1.51e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-3 | 4.69e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 3.48e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 5.00e-2 | 1.38e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-5 | 2.15e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-4 | 2.15e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-5 | 3.58e-2 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 5.00e-2 | 2.48e-4 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 2.55e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 5.00e-2 | 1.05e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 2.10e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 5.63e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 6.60e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-3 | 4.57e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 9.59e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-3 | 3.23e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.03e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-3 | 4.81e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 7.58e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 4.96e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 5.00e-2 | 1.26e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 2.21e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 8.08e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7381 | 5.00e-2 | 3.70e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 9.38e-6 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 1.15e-4 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-3 | 2.96e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 3.16e-4 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 2.36e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 4.54e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-3 | 3.51e-2 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-5 | 1.59e-2 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 3.71e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 5.00e-2 | 4.52e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 3.96e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 1.19e-2 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.07e-2 |
Facial Shape | Mod12 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.80e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.49e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.23e-2 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.11e-4 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.89e-2 |
Facial Shape | Mod25 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.88e-2 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.33e-3 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.06e-3 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.54e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 8.77e-4 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.30e-2 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.54e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.46e-4 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 6.44e-3 |
Facial Shape | Mod50 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.41e-2 |
Facial Shape | Mod52 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.76e-3 |
Facial Shape | Mod6 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.01e-3 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.31e-2 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.79e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.08e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.04e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.88e-3 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 1.05e-4 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-2 | 1.91e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-3 | 2.33e-3 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-4 | 1.83e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 7.39e-3 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-2 | 2.65e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 5.00e-2 | 2.13e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 5.00e-2 | 4.53e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 5.00e-2 | 1.86e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 3.77e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.59e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.17e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 5.78e-3 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 1.16e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin | MTC | Manning | 2012 | NA | 51750 | 1.00e-4 | 1.35e-2 |
Glycemic Traits | Fasting Glucose | ETC | Dupuis | 2010 | NA | 46186 | 5.00e-2 | 4.36e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 6.83e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 1.66e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 5.28e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 3.49e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 7.68e-6 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 1.31e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 5.59e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 4.37e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 1.44e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 3.08e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 6.81e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 2.40e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 6.70e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 8.88e-4 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 9.56e-3 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 7.03e-3 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 1.27e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 2.47e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 1.51e-2 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 5.73e-3 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 1.70e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 1.42e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 2.91e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 2.42e-3 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 1.99e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 1.00e-2 | 3.65e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 4.16e-3 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 5.46e-3 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 1.86e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Activity | MTC | Suchindran | 2010 | NA | 6668 | 5.00e-2 | 2.92e-3 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Activity | MTC | Suchindran | 2010 | NA | 6668 | 1.00e-2 | 3.90e-3 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Mass | MTC | Suchindran | 2010 | NA | 6668 | 5.00e-2 | 2.53e-3 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Mass | MTC | Suchindran | 2010 | NA | 6668 | 1.00e-2 | 1.96e-4 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 1.64e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 4.98e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.87e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 1.04e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-5 | 3.23e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 5.00e-2 | 2.19e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 3.92e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.81e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.51e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 5.56e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 3.93e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.63e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.43e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 1.58e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.15e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.36e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.13e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 3.63e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.40e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 2.74e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 4.00e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 3.43e-2 |
Personality Big5 | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 3.86e-3 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 2.72e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 3.38e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.38e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 3.43e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 2.71e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 2.64e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 2.73e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 3.53e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 8.74e-3 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 6.78e-3 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-2 | 4.39e-2 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 5.00e-2 | 6.00e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 1.81e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 1.66e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 4.63e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 2.47e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 4.53e-2 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 5.00e-2 | 1.56e-2 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 5.00e-2 | 9.11e-3 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-2 | 2.80e-2 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-3 | 5.36e-3 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.87e-3 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.17e-2 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.27e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.72e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.90e-2 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.12e-2 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.46e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.93e-2 |
Tanner Stage | Tanner Stage All | MTC | Cousminer | 2014 | NA | 9913 | 5.00e-2 | 4.67e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 3.84e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 4.21e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.69e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 9.59e-4 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.18e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.88e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 1.79e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.23e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 1.34e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 1.79e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 1.41e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 1.62e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.05e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 4.33e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 9.77e-4 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 4.70e-4 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 1.19e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 6.54e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 1.64e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 6.97e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 1.06e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 1.97e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 4.23e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 4.57e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 4.74e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 2.79e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 4.53e-6 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 9.66e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 2.04e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 3.41e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 7.12e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 4.65e-5 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 3.60e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 2.76e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 1.30e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 5.24e-3 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-5 | 2.91e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 1.13e-3 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-4 | 1.39e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-5 | 2.50e-3 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 2.27e-2 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 3.02e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 5.00e-2 | 3.89e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-2 | 3.01e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-3 | 7.75e-3 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 3.16e-2 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 2.16e-3 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 4.50e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 3.20e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 5.76e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 2.27e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 2.95e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 4.18e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 6.19e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 1.82e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 3.05e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 2.62e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 7.77e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.28e-2 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 3.44e-2 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 3.44e-2 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 5.00e-2 | 3.02e-2 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-2 | 3.71e-2 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 5.00e-2 | 1.84e-2 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 5.00e-2 | 1.58e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 5.00e-2 | 5.23e-3 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-4 | 3.47e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-3 | 2.53e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-5 | 3.04e-2 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 5.00e-2 | 1.08e-2 |
Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 5.00e-2 | 2.04e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 3.63e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 1.83e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 2.94e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 4.89e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 2.65e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 5.45e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 7.20e-3 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 6.23e-3 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 4.45e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 9.34e-3 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 5.00e-2 | 4.12e-2 |
Postburn scar height | Postburn scar height | ETC | Wallace | 2018 | NA | 665 | 1.00e-2 | 1.86e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 4.03e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 2.00e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 6.83e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 2.14e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 3.00e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 3.34e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 2.09e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 2.37e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.74e-2 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.87e-2 |
Brain volume | Dentate gyrus molecular layer volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 8.65e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.15e-2 |
HATA volume | HATA volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.63e-2 |
Fimbria volume | Fimbria volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.55e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.02e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.47e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.61e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 5.00e-2 | 8.35e-3 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-2 | 1.19e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-3 | 4.06e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 5.00e-2 | 9.00e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 3.40e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 2.40e-3 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 1.00e-2 | 2.91e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 1.00e-3 | 3.92e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 1.00e-5 | 3.77e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-3 | 2.80e-2 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 5.00e-2 | 8.59e-4 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 1.00e-4 | 2.90e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 2.31e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-2 | 3.03e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-2 | 2.95e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.50e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 5.38e-5 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 8.31e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 1.26e-2 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 5.04e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 3.60e-2 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 2.68e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 8.48e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 3.78e-4 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 5.00e-2 | 2.95e-3 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-2 | 3.90e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.94e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 5.00e-2 | 1.06e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 5.60e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-3 | 6.09e-4 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-4 | 9.52e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-5 | 1.27e-4 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 5.00e-2 | 2.38e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-2 | 2.35e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-3 | 2.00e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-4 | 3.65e-3 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 5.75e-3 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 5.00e-2 | 1.20e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-2 | 1.25e-3 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-3 | 1.55e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-5 | 3.87e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 5.00e-2 | 3.24e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-2 | 4.03e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 3.44e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.06e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 8.88e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 9.58e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 3.93e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 9.50e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 1.51e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 5.90e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 6.56e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 1.10e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 8.97e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 2.33e-4 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 1.03e-4 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 4.63e-4 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-5 | 4.92e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 5.00e-2 | 3.14e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 5.61e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-5 | 3.60e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 3.56e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.82e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.27e-2 |
Nonalcoholic Liver disease | Nonalcoholic fatty liver disease | ETC | Namjou B | 2019 | 1,106 | 8,571 | 5.00e-2 | 3.22e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 5.00e-2 | 1.94e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 9,844 | 20,403 | 1.00e-2 | 2.48e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 9,844 | 20,403 | 1.00e-3 | 2.59e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-2 | 1.07e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-5 | 4.20e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 8.96e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 1.00e-2 | 7.34e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 1.00e-3 | 2.51e-2 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 2.11e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 5.00e-2 | 2.59e-2 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 5.00e-2 | 4.76e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 5.00e-2 | 7.97e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-2 | 4.11e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 1.10e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 1.61e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 5.05e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 9.28e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 1.08e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 1.37e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 2.74e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 2.46e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-4 | 2.60e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 7.66e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 1.74e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 4.66e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 3.29e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 8.41e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-4 | 6.03e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-5 | 9.20e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 2.35e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 5.00e-2 | 3.44e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-2 | 1.84e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-3 | 2.22e-2 |
AD | Alzheimer's disease | ETC | Moreno-Grau S | 2019 | 4,120 | 3,289 | 5.00e-2 | 4.75e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 3.55e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 5.00e-2 | 4.01e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 2.51e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 6.07e-5 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 1.02e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-2 | 4.03e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-3 | 1.29e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-4 | 3.26e-3 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 5.00e-2 | 1.42e-3 |
Birth weight | Birth weight variance | ETC | Wang H | 2019 | NA | 197,758 | 5.00e-2 | 2.60e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 5.00e-2 | 3.66e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-2 | 1.49e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-4 | 2.22e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 6.62e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 3.83e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 1.71e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-5 | 8.79e-4 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 3.64e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 5.00e-2 | 5.47e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 1.83e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 6.59e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 5.24e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-5 | 1.67e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 8.04e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 6.19e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 1.96e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 4.35e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 5.40e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 3.20e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.85e-3 |
BMI at birth | BMI at birth | ETC | Helgeland O | 2019 | NA | 9,286 | 5.00e-2 | 3.62e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 8.70e-3 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 1.00e-2 | 7.47e-4 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 1.00e-3 | 1.32e-3 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 5.00e-2 | 1.25e-2 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 1.00e-2 | 6.15e-4 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 1.00e-3 | 6.69e-4 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 1.00e-4 | 1.00e-2 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 5.00e-2 | 6.13e-3 |
BMI by age | BMI at 1 year old | ETC | Helgeland O | 2019 | NA | 6,970 | 5.00e-2 | 3.96e-2 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 5.00e-2 | 2.16e-2 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 1.00e-2 | 2.36e-2 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 1.00e-3 | 4.92e-3 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 1.61e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 5.00e-2 | 3.12e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 2.72e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 1.47e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-3 | 1.93e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 3.56e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-2 | 2.22e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 2.38e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 4.56e-2 |
Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 5.00e-2 | 1.44e-2 |
Temporale grey matter volume | Left planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,037 | 5.00e-2 | 2.33e-2 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-5 | 4.74e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 9.83e-3 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 7.65e-5 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 2.44e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.71e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-4 | 3.19e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-5 | 2.32e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 5.00e-2 | 2.31e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-3 | 8.49e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 3.89e-2 |
Snoring | Snoring male | ETC | Campos AI | 2020 | 90,806 | 99,165 | 5.00e-2 | 5.72e-3 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 5.00e-2 | 1.48e-2 |
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 | 4.30e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 5.00e-2 | 3.95e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-2 | 2.17e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-3 | 9.95e-4 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-4 | 2.60e-6 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 5.91e-7 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 4.06e-4 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 2.64e-3 |
* 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.