Cell type-associated traits map for the [FetalSkin_Fetal neuron][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 [FetalSkin_Fetal neuron]. 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 Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-2 | 3.33e-2 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-3 | 4.96e-2 |
Age At Menopause | Age At Menopause | ETC | Day | 2015 | NA | 2545 | 5.00e-2 | 2.88e-2 |
Age At Menopause | Age At Menopause | ETC | Day | 2015 | NA | 2545 | 1.00e-2 | 2.31e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 1.00e-3 | 3.33e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 1.00e-4 | 2.97e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 5.00e-2 | 9.21e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-2 | 1.22e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-2 | 2.46e-2 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 1.00e-3 | 1.88e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-3 | 2.60e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-4 | 2.21e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 1.46e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-3 | 2.89e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 4.00e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 5.00e-2 | 1.37e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 2.08e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 5.00e-2 | 1.83e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 5.00e-2 | 4.02e-2 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-2 | 2.86e-2 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-3 | 1.09e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 5.00e-2 | 1.18e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 1.00e-2 | 7.85e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 1.09e-2 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 2.48e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 5.00e-2 | 2.53e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 5.00e-2 | 4.77e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 5.00e-2 | 4.20e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 6.21e-3 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 5.84e-4 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-5 | 1.30e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 1.91e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 4.08e-2 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 8.80e-3 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 5.00e-2 | 2.48e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 1.60e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 3.22e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 2.00e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 5.00e-2 | 4.06e-3 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 3.82e-2 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 1.00e-4 | 1.53e-2 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 1.00e-5 | 8.21e-5 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 5.00e-2 | 6.69e-3 |
BMI | BMI European | ETC | Locke | 2015 | NA | 234069 | 1.00e-3 | 4.14e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 5.00e-2 | 2.48e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-2 | 2.40e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-3 | 9.02e-3 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-4 | 3.57e-2 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-2 | 2.21e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.95e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.45e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.96e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.14e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.25e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.25e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.88e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 3.79e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-4 | 2.55e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-2 | 2.66e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 3.44e-4 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 3.13e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 1.47e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 1 | MTC | Bustamante | 2016 | 1339 | 5064 | 1.00e-2 | 2.95e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 3.06e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 5.00e-2 | 2.10e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 2.62e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-3 | 2.87e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 1.01e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-4 | 3.34e-2 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 2.05e-2 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.16e-2 |
Facial Shape | Mod12 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.34e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.87e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.34e-2 |
Facial Shape | Mod2 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.27e-2 |
Facial Shape | Mod2 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.50e-2 |
Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.76e-2 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 6.07e-3 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.22e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.03e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.59e-2 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.23e-2 |
Facial Shape | Mod50 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.57e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.33e-2 |
Facial Shape | Mod6 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.71e-2 |
Facial Shape | Mod6 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.12e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.99e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.57e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-2 | 4.00e-3 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-3 | 4.18e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-4 | 3.44e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-5 | 2.89e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 2.44e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 5.33e-3 |
Glycemic Traits | HOMA B | MTC | Dupuis | 2010 | NA | 36466 | 5.00e-2 | 4.98e-2 |
Insulin Sensitivity Index | Model 2 | MTC | Walford | 2016 | NA | 16753 | 1.00e-3 | 8.26e-3 |
Kidney Function | CKDi25 | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 2.21e-2 |
Kidney Function | eGFR Decline | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 4.77e-2 |
Kidney Function | eGFR Decline Without Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 1.09e-2 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 1.00e-3 | 1.12e-2 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 1.00e-4 | 2.57e-2 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 5.00e-2 | 4.24e-2 |
Shoulder Dislocation | Shoulder Dislocation, European Or Latino | MTC | Kim | 2017 | 662 | 82602 | 5.00e-2 | 3.37e-2 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.49e-2 |
Tanner Stage | Tanner Stage All | MTC | Cousminer | 2014 | NA | 9913 | 5.00e-2 | 4.08e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-2 | 4.49e-2 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 7.08e-4 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 4.85e-3 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 2.02e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 2.83e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 4.96e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 2.13e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.97e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 5.16e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 2.66e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 1.51e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 7.11e-3 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 5.00e-2 | 3.71e-2 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-2 | 6.22e-3 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-3 | 4.17e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 4.53e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-3 | 2.16e-2 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 1.00e-3 | 1.44e-2 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 1.00e-4 | 2.49e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 3.79e-2 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-4 | 4.93e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 5.00e-2 | 3.40e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-2 | 4.36e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-3 | 4.26e-2 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-4 | 1.80e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-2 | 4.95e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-3 | 1.38e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-4 | 3.08e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-5 | 2.52e-2 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 5.00e-2 | 4.90e-2 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-2 | 7.68e-3 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-3 | 4.36e-2 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-5 | 3.75e-2 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 1.00e-2 | 3.09e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 2.01e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 1.76e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 4.02e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 4.35e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 1.73e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 4.01e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 1.32e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 5.00e-2 | 4.22e-2 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 5.00e-2 | 1.95e-2 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 1.00e-2 | 2.62e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-4 | 4.70e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-5 | 1.51e-2 |
Erectile dysfunction | Erectile dysfunction | ETC | Bovijn | 2018 | 6175 | 217630 | 1.00e-2 | 2.58e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 3.71e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 1.12e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 1.22e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.90e-2 |
Hippocampal volume | Hippocampal fissure volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.59e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 5.00e-2 | 3.71e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-5 | 3.58e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 5.00e-2 | 2.65e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-5 | 1.78e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 5.00e-2 | 3.26e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 5.00e-2 | 8.24e-3 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 2.26e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-2 | 4.22e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 1.73e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-2 | 2.28e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 5.00e-2 | 1.39e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-2 | 4.12e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-5 | 3.73e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-3 | 3.24e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-3 | 1.26e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-4 | 5.91e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-5 | 3.90e-3 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 5.00e-2 | 6.30e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 3.30e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 1.14e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 4.74e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 5.00e-2 | 3.76e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-2 | 7.13e-3 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-2 | 2.27e-3 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-3 | 1.43e-2 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 434,794 | 1.00e-5 | 1.82e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 5.00e-2 | 4.29e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-2 | 6.18e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 4.27e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 3.64e-2 |
BMI by age | BMI at 1 year old | ETC | Helgeland O | 2019 | NA | 6,970 | 5.00e-2 | 3.31e-2 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 1.00e-3 | 2.39e-3 |
Left ventricular | Left ventricular ejection fraction | ETC | Aung N | 2019 | NA | 16,923 | 5.00e-2 | 2.11e-2 |
Left ventricular | Left ventricular ejection fraction | ETC | Aung N | 2019 | NA | 16,923 | 1.00e-2 | 7.48e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 3.39e-2 |
Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 5.00e-2 | 1.92e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-3 | 2.60e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-4 | 1.89e-2 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-3 | 3.99e-2 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-5 | 2.37e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.19e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.87e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.83e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 5.00e-2 | 4.65e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 4.81e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 4.78e-2 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 1.00e-2 | 1.58e-2 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 1.00e-3 | 2.97e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 4.27e-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.