Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-4 | 1.74e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 3.85e-3 |
Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 5.00e-2 | 3.34e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 2.72e-3 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 1.00e-2 | 3.32e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 4.48e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 4.29e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 8.20e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 5.71e-3 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-4 | 4.27e-2 |
Prostate Cancer | Prostate Cancer | MTC | Yeager | 2007 | 1172 | 1157 | 5.00e-2 | 2.08e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 3.74e-2 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 1.00e-4 | 1.91e-2 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 5.00e-2 | 9.50e-3 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-3 | 2.21e-2 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 5.00e-2 | 2.73e-2 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 5.00e-2 | 4.84e-3 |
Aortic Valve Calcification | Mitral Annular Calcification | MTC | Thanassoulis | 2013 | NA | 3795 | 1.00e-2 | 1.54e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 2.62e-3 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.55e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 6.01e-3 |
Blood Cells | Platelet Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.32e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.65e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.28e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 1.35e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 1.32e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 4.78e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 3.95e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.01e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.58e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 2.68e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.67e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.42e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.40e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.19e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 3.78e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.51e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 1.00e-3 | 4.08e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 3.32e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 3.12e-3 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 1.00e-3 | 2.21e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 9.85e-4 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 5.79e-4 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 1.92e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 3.99e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-3 | 2.02e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 1.13e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 1.94e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 3.34e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-3 | 3.85e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 1.00e-3 | 3.95e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 4.46e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 3.67e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-3 | 1.04e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 1.66e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 2.86e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.84e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.22e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.37e-2 |
Facial Shape | Mod38 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.08e-2 |
Facial Shape | Mod51 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.15e-2 |
Facial Shape | Mod54 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.12e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 5.00e-2 | 2.16e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 1.00e-2 | 1.21e-3 |
Insulin Secretion | Acute Insulin Response Adjusted For Insulin Sensitivity | MTC | Wood | 2017 | NA | 2087 | 1.00e-2 | 4.64e-3 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 4.64e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-3 | 1.07e-2 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 1.00e-2 | 4.11e-2 |
Kidney Function | Rapid Decline | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 4.55e-2 |
Kidney Function | Rapid Decline Without Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 3.72e-2 |
Kidney Function | Rapid Decline Without Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 4.84e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 8.47e-3 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 9.46e-3 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 2.42e-2 |
Loneliness | Case Control | MTC | Gao | 2017 | 1632 | 3164 | 5.00e-2 | 1.17e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 4.40e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-3 | 4.36e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 4.73e-2 |
Personality Big5 | Agreeableness | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 8.47e-4 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-2 | 2.02e-2 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 1.00e-2 | 1.66e-3 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 5.00e-2 | 2.62e-2 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.75e-2 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 5.00e-2 | 3.65e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 4.28e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 2.80e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 6.64e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 1.29e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 4.65e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 4.62e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 1.41e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 8.71e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 2.02e-2 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 4.68e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 5.00e-2 | 1.08e-2 |
Facial attractiveness | Facial attractiveness of males, male raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 3.66e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 1.08e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 1.00e-2 | 1.00e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.80e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 4.86e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 9.88e-3 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-2 | 1.60e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 5.00e-2 | 3.08e-2 |
Postburn scar height | Postburn scar height | ETC | Wallace | 2018 | NA | 665 | 5.00e-2 | 1.17e-2 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 9.32e-3 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.12e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.22e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 4.75e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 3.52e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 3.35e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 4.18e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 2.76e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 4.60e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 4.29e-4 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 6.18e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 1.50e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 1.04e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 4.96e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 3.15e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 8.00e-3 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 5.00e-2 | 3.10e-3 |
Lung function | Lung function (forced vital capacity) variance | ETC | Wang H | 2019 | NA | 317,222 | 5.00e-2 | 1.60e-2 |
Lung function | Lung function (forced vital capacity) variance | ETC | Wang H | 2019 | NA | 317,222 | 1.00e-2 | 1.59e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-2 | 5.40e-3 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-3 | 1.67e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 5.00e-2 | 3.26e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 2.71e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 1.00e-2 | 4.64e-2 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 5.00e-2 | 2.86e-2 |
BMI by age | BMI at 1.5 years old | ETC | Helgeland O | 2019 | NA | 6,800 | 1.00e-2 | 1.93e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 5.00e-2 | 3.09e-3 |
Temporale grey matter volume | Left planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,037 | 1.00e-2 | 3.37e-3 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-2 | 1.66e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 4.69e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-3 | 4.96e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-4 | 4.93e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 5.00e-2 | 1.49e-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.