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 | 1.00e-2 | 1.18e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-4 | 3.55e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-5 | 2.20e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-3 | 3.47e-2 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 1.00e-2 | 4.64e-3 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-2 | 2.70e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 1.00e-4 | 3.85e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 5.00e-2 | 4.77e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 1.00e-4 | 3.38e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 4.27e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-3 | 1.11e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-4 | 3.95e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-5 | 1.18e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 3.89e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 1.43e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 7.36e-3 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 2.08e-2 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 1.00e-4 | 3.38e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-4 | 2.56e-2 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-4 | 3.72e-2 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-5 | 1.34e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 5.24e-3 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 5.60e-4 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.58e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 2.20e-3 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 4.04e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.32e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 1.90e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.82e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 2.34e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.20e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 9.11e-3 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 5.00e-2 | 2.69e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 4.54e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 1.63e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 2.09e-2 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.55e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.03e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 1.00e-2 | 1.09e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 3.65e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 1.00e-3 | 9.38e-3 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 1.00e-4 | 4.35e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-4 | 7.24e-3 |
Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 8.18e-3 |
Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 1.00e-2 | 2.90e-2 |
Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 9.43e-3 |
Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 1.00e-2 | 3.17e-4 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 2.19e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 3.90e-2 |
Sleep Duration | Oversleeper | MTC | Jones | 2016 | NA | 91306 | 1.00e-2 | 4.73e-2 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 5.00e-2 | 2.13e-2 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.95e-2 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 5.86e-3 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.58e-3 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.74e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.28e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.59e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 4.35e-4 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 8.36e-3 |
Tanner Stage | Tanner Stage All | MTC | Cousminer | 2014 | NA | 9913 | 1.00e-2 | 6.29e-3 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 5.00e-2 | 8.58e-3 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 1.00e-2 | 1.50e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 3.20e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 9.72e-3 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 2.96e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 4.48e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 4.23e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 3.22e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.97e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 4.93e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 3.37e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.54e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 1.00e-2 | 3.94e-2 |
Sleep | Sleep duration, long sleep | ETC | Dashti | 2019 | 34184 | 305742 | 1.00e-3 | 3.28e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-3 | 1.28e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.68e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 4.45e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 4.97e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.75e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 2.22e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 5.00e-2 | 5.74e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 2.89e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 7.72e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-2 | 3.53e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-3 | 2.77e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 5.00e-2 | 1.95e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 4.97e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 2.95e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 4.06e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 4.75e-3 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 9.34e-3 |
BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 5.00e-2 | 3.97e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 2.06e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.68e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.63e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 1.00e-3 | 2.37e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 1.99e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 1.32e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 9.14e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 3.88e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 4.88e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 2.39e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-3 | 1.58e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 1.00e-2 | 4.64e-3 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 1.00e-3 | 1.58e-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.