| Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
| 2 Hour Glucose | 2-Hour Glucose | ETC | Saxena | 2010 | NA | 15234 | 5.00e-2 | 3.19e-2 |
| Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 3.77e-2 |
| Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-2 | 3.91e-2 |
| Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 5.00e-2 | 2.46e-2 |
| Breast Cancer | Breast Cancer | MTC | Hunter | 2007 | NA | 1145 | 5.00e-2 | 1.27e-2 |
| Breast Cancer | Breast Cancer | MTC | Hunter | 2007 | NA | 1145 | 1.00e-2 | 2.69e-3 |
| CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 4.80e-2 |
| CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-3 | 3.68e-2 |
| Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 5.00e-2 | 2.36e-3 |
| Internalizing Problems | Internalizing Problems | ETC | Benke | 2014 | NA | 4596 | 5.00e-2 | 1.15e-2 |
| MDD | Major Depressive Disorder | MTC | McMahon | 2010 | 6686 | 9068 | 1.00e-2 | 1.33e-2 |
| Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-3 | 1.97e-2 |
| Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-3 | 1.29e-2 |
| Prostate Cancer | Prostate Cancer | MTC | Yeager | 2007 | 1172 | 1157 | 5.00e-2 | 4.48e-2 |
| Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 5.00e-2 | 3.07e-2 |
| Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-2 | 2.89e-2 |
| Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-3 | 3.14e-2 |
| Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 1.00e-3 | 3.75e-2 |
| Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 1.00e-4 | 2.21e-2 |
| Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 5.00e-2 | 6.87e-3 |
| Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 5.00e-2 | 4.06e-2 |
| Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.98e-2 |
| BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-3 | 9.95e-3 |
| BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-4 | 1.37e-3 |
| BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-3 | 2.42e-2 |
| BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.13e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-2 | 2.33e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-3 | 1.93e-2 |
| Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-3 | 4.22e-2 |
| Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-4 | 3.71e-2 |
| Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 5.00e-2 | 1.22e-2 |
| Cognitive Functions | Memory | MTC | Davies | 2016 | NA | 112067 | 1.00e-3 | 1.03e-2 |
| Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 5.00e-2 | 1.80e-2 |
| Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-2 | 1.16e-3 |
| Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-3 | 1.64e-2 |
| Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 5.00e-2 | 1.50e-2 |
| Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 4.01e-2 |
| Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 2.61e-2 |
| Ectopic Fat Traits | Visceral Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7432 | 5.00e-2 | 4.66e-2 |
| Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 5.00e-2 | 8.31e-4 |
| Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 1.00e-2 | 2.33e-2 |
| Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 1.00e-3 | 4.78e-2 |
| Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 1.00e-4 | 1.07e-2 |
| Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 1.00e-5 | 3.24e-4 |
| Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-5 | 4.50e-2 |
| Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 8.44e-3 |
| Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.46e-3 |
| Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.52e-2 |
| Facial Shape | Mod22 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.01e-2 |
| Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.63e-2 |
| Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.41e-2 |
| Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.24e-2 |
| Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.40e-2 |
| Facial Shape | Mod47 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.74e-3 |
| Facial Shape | Mod52 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.76e-2 |
| Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 4.25e-2 |
| Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 6.87e-3 |
| Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.77e-2 |
| Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 4.51e-2 |
| Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 4.78e-3 |
| Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 4.77e-2 |
| Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 2.01e-2 |
| Kidney Function | eGFR Decline | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 5.32e-3 |
| Kidney Function | eGFR Decline Without Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 2.70e-3 |
| Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-3 | 5.72e-3 |
| Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-4 | 3.21e-4 |
| Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-5 | 7.92e-4 |
| Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 2.78e-2 |
| Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 3.85e-4 |
| Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-4 | 4.75e-5 |
| Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-4 | 4.02e-2 |
| Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 1.00e-4 | 3.39e-2 |
| Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 1.20e-2 |
| Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.15e-3 |
| Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.67e-2 |
| Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.12e-3 |
| Pubertal Anthropometrics | Late Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 4.66e-2 |
| Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 2.88e-2 |
| Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 4.07e-2 |
| Reproductive Behavior | Age First Birth Male | MTC | Barban | 2016 | NA | 48408 | 5.00e-2 | 5.66e-3 |
| Reproductive Behavior | Age First Birth Male | MTC | Barban | 2016 | NA | 48408 | 1.00e-2 | 6.81e-3 |
| Reproductive Behavior | Age First Birth Male | MTC | Barban | 2016 | NA | 48408 | 1.00e-3 | 1.48e-3 |
| Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-4 | 4.90e-2 |
| Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 8.49e-3 |
| Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 7.93e-3 |
| Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 5.69e-3 |
| Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-4 | 3.86e-2 |
| Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 4.60e-2 |
| MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 8.60e-3 |
| MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 1.81e-2 |
| MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 3.61e-2 |
| K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 5.00e-2 | 5.68e-3 |
| K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-3 | 3.62e-2 |
| Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 5.00e-2 | 4.18e-3 |
| Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 4.36e-3 |
| Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 4.09e-3 |
| Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 5.00e-2 | 2.65e-2 |
| Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-4 | 3.82e-2 |
| Parasubiculum volume | Presubiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.63e-2 |
| Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 5.00e-2 | 9.22e-3 |
| Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-2 | 3.52e-2 |
| Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-2 | 1.05e-2 |
| Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-3 | 1.91e-2 |
| Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 1.00e-3 | 2.68e-2 |
| same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 4.12e-2 |
| Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-5 | 2.21e-2 |
| Parietal lobe volume | Parietal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 1.63e-2 |
| BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 434,794 | 1.00e-3 | 2.12e-2 |
| Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 5.00e-2 | 3.33e-2 |
| Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 5.00e-2 | 3.67e-2 |
| Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 4.60e-2 |
| Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 1.00e-3 | 2.14e-2 |
| Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 4.44e-2 |
| Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 6.15e-4 |
| BMI by age | BMI at 8 months old | ETC | Helgeland O | 2019 | NA | 7,197 | 1.00e-2 | 5.74e-3 |
| BMI by age | BMI at 1.5 years old | ETC | Helgeland O | 2019 | NA | 6,800 | 5.00e-2 | 4.09e-2 |
| BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 5.00e-2 | 3.76e-3 |
| BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 1.00e-2 | 9.53e-3 |
| BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 1.00e-3 | 2.87e-3 |
| Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 3.13e-2 |
| Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-3 | 9.73e-3 |
| Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-3 | 3.61e-2 |
| Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 5.00e-2 | 2.74e-2 |
| Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-5 | 1.21e-2 |
| Snoring | Snoring male | ETC | Campos AI | 2020 | 90,806 | 99,165 | 1.00e-5 | 1.37e-2 |
| Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 5.00e-2 | 3.48e-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.