Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
Anorexia Nervosa | Anorexia Nervosa | MTC | Boraska | 2014 | 2907 | 14860 | 1.00e-2 | 1.74e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 3.88e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-4 | 2.87e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-5 | 5.92e-3 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 5.00e-2 | 4.06e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 4.80e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 1.00e-2 | 2.32e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 9.76e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 3.09e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 4.13e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.91e-3 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 2.79e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 5.00e-2 | 2.91e-3 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-2 | 2.79e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-2 | 4.03e-2 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.47e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 1.00e-3 | 1.66e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 5.00e-2 | 4.05e-2 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 1.00e-3 | 2.57e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Boger | 2011 | NA | 31580 | 1.00e-3 | 4.36e-2 |
Alcohol Consumption | Alcohol Consumption All Dichotomous | MTC | Schumann | 2016 | NA | 74711 | 5.00e-2 | 3.05e-3 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 1.00e-2 | 4.78e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-2 | 1.14e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-4 | 4.36e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 1.00e-5 | 2.97e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-4 | 3.95e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 3.34e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 3.45e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 3.86e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 5.00e-2 | 7.29e-3 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 2.53e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-3 | 1.22e-2 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 3.61e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.20e-2 |
BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-3 | 4.30e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-5 | 3.75e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.78e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 1.32e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.08e-2 |
BMI Physical Activity Interaction | BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.61e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 1.07e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.93e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 5.92e-3 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.09e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.29e-2 |
BMI Physical Activity Interaction | BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.44e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 5.40e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 3.14e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.83e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.05e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 1.58e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 4.54e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.37e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 3.99e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 7.86e-3 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 1.53e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-3 | 3.45e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 7324 | 1.00e-2 | 2.68e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 1.62e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-3 | 1.54e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-3 | 2.02e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.55e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.85e-3 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.07e-2 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.30e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.18e-2 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.05e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.77e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.89e-2 |
Glycemic Traits | HOMA IR | MTC | Dupuis | 2010 | NA | 37037 | 1.00e-3 | 1.43e-2 |
Intracerebral Hemorrhage | Lobar ICH | MTC | Woo | 2014 | 664 | 1481 | 5.00e-2 | 3.03e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-3 | 1.22e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 4.17e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 4.96e-2 |
Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 3.33e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 2.58e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 2.84e-3 |
Longevity | Age 85 Or Greater | MTC | Deelen | 2014 | 7729 | 16121 | 1.00e-2 | 4.78e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.65e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 4.36e-2 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 1.00e-3 | 1.88e-2 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-2 | 4.84e-2 |
Waist Format 1 | Waist Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 4.15e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 4.89e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 2.53e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 1.41e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 4.37e-4 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 1.18e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 3.94e-2 |
EOC | Epithelial Ovarian Cancer | ETC | Phelan | 2017 | 25509 | 40941 | 1.00e-5 | 2.37e-2 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 5.00e-2 | 3.49e-3 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 5.00e-2 | 4.06e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 1.00e-2 | 1.90e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 1.83e-2 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 5.00e-2 | 3.07e-2 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 1.59e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 1.00e-2 | 2.51e-2 |
Facial attractiveness | Facial attractiveness of females, male raters | ETC | Hu | 2019 | NA | 2062 | 1.00e-2 | 3.50e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 2.54e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-3 | 2.58e-2 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-2 | 4.41e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 5.00e-2 | 2.31e-2 |
Sleep | Sleep duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 1.12e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.94e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.03e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.99e-2 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.26e-2 |
HATA volume | Hippocampal amygdala transition area volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.91e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 3.29e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 1.74e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 2.88e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-2 | 1.29e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 4.39e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 3.62e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 2.27e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 4.16e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 1.21e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 9.35e-3 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 3.97e-2 |
Birth weight | Birth weight variance | ETC | Wang H | 2019 | NA | 197,758 | 5.00e-2 | 8.60e-3 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 2.82e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 1.00e-2 | 2.96e-2 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 5.00e-2 | 4.83e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 4.83e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 1.88e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 5.97e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 8.14e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 8.92e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 5.90e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 1.01e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 9.84e-3 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 5.00e-2 | 4.73e-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.