Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 5.00e-2 | 2.76e-2 |
Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 1.00e-2 | 4.69e-3 |
Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 1.00e-3 | 4.80e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-3 | 2.89e-2 |
BMI | Body Mass Index | MTC | Wood | 2016 | 29925 | 89763 | 1.00e-2 | 3.59e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 3.81e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 4.40e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-2 | 4.40e-2 |
Insomnia | Insomnia | MTC | Hammerschlag | 2017 | 12863 | 40776 | 5.00e-2 | 3.80e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 5.00e-2 | 2.87e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-2 | 2.62e-2 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 5.00e-2 | 2.24e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 5.00e-2 | 3.40e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-2 | 4.39e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 3.48e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-4 | 3.02e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-5 | 6.55e-4 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-4 | 2.22e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Diabetics | MTC | Teumer | 2016 | NA | 5825 | 5.00e-2 | 5.27e-3 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 1.00e-2 | 4.11e-2 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 1.00e-3 | 3.59e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 5.00e-2 | 3.25e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-2 | 1.29e-3 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 5.00e-2 | 2.84e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 5.00e-2 | 2.48e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 1.00e-4 | 3.59e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 4.27e-2 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 2.30e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.07e-2 |
Blood Cells | Mean Erythrocyte Cell Volume | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.91e-3 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-3 | 3.87e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.24e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.38e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.78e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.87e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.67e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.46e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.52e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.55e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.87e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density Under 15 | MTC | Medina-Gomez | 2018 | NA | 11807 | 1.00e-2 | 2.85e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 5.00e-2 | 3.61e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 3.14e-3 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 5.00e-2 | 4.82e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-2 | 1.80e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-4 | 1.29e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 1.00e-2 | 2.55e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 2.23e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 1.69e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-2 | 3.78e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 4.40e-2 |
Facial Shape | Mod21 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.57e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.71e-2 |
Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.38e-2 |
Facial Shape | Mod53 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.33e-2 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.78e-2 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.02e-2 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 4.91e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-3 | 4.14e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-4 | 3.47e-3 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-5 | 8.32e-4 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 3.51e-2 |
Insulin Sensitivity Index | Model 1 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 4.66e-2 |
Insulin Sensitivity Index | Model 1 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 1.30e-2 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 2.22e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 9.88e-3 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 1.00e-2 | 4.40e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 4.15e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 4.25e-2 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 1.00e-2 | 2.98e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.74e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 3.63e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-3 | 2.72e-2 |
Longevity | Age 90 Or Greater | MTC | Deelen | 2014 | 5406 | 15112 | 1.00e-3 | 3.87e-2 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.04e-2 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 1.00e-3 |
Personality Big5 | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 1.91e-2 |
Personality Big5 | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.78e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 2.10e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.31e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 3.12e-2 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-4 | 2.58e-2 |
Circadian Rhythm | Sleep Chronotype | MTC | Jones | 2016 | NA | 127898 | 1.00e-3 | 4.29e-2 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.59e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 1.88e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 4.48e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 5.84e-4 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 1.00e-2 | 1.47e-2 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 1.00e-3 | 2.43e-2 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 5.00e-2 | 4.59e-3 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 1.00e-2 | 2.55e-2 |
Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 5.00e-2 | 4.96e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 5.00e-2 | 1.96e-2 |
HATA volume | HATA volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.61e-2 |
HATA volume | Hippocampal amygdala transition area volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.75e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.90e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 4.80e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 5.00e-2 | 3.34e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-2 | 2.62e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 5.00e-2 | 4.86e-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 | 2.61e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-2 | 4.36e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 5.00e-2 | 4.64e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-2 | 9.79e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 2.24e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 2.70e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-2 | 7.11e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 3.06e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 3.72e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 1.43e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 5.00e-2 | 3.46e-3 |
BMI by age | BMI at 2 years old | ETC | Helgeland O | 2019 | NA | 4,631 | 5.00e-2 | 4.85e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 1.70e-3 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-2 | 2.73e-4 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 5.00e-2 | 1.59e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 1.65e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 5.03e-4 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 5.43e-3 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 2.04e-3 |
Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 5.00e-2 | 4.48e-2 |
Temporale grey matter volume | Left planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,037 | 5.00e-2 | 4.02e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.94e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.85e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 2.07e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-2 | 3.32e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-3 | 3.15e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-4 | 1.93e-2 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 1.00e-2 | 4.62e-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.