Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-4 | 3.56e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-2 | 3.01e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 1.27e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-4 | 3.38e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-3 | 3.15e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-3 | 1.12e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-4 | 2.69e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 1.45e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 1.00e-3 | 4.43e-2 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 5.00e-2 | 5.81e-3 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 2.88e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-3 | 3.58e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-3 | 4.34e-2 |
Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 1.00e-5 | 3.88e-2 |
Anthropometrics Sex Stratified | Height Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-5 | 4.37e-2 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 3.54e-2 |
Anthropometrics Sex Stratified | Hip Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 2.88e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 1.28e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 2.18e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-2 | 3.35e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-3 | 7.87e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-3 | 1.59e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-2 | 4.18e-2 |
Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 5.00e-2 | 3.04e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.58e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.29e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 4.40e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-3 | 1.39e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-2 | 3.24e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-3 | 4.75e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.56e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 4.05e-3 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 1.68e-2 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.52e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 5.00e-2 | 1.14e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.38e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.93e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.11e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.97e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.92e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.66e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 1.83e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 2.97e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 4.21e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-2 | 5.24e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-3 | 2.89e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-4 | 2.95e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-5 | 3.72e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 1.66e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-3 | 3.15e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 1.00e-2 | 4.39e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 1.00e-3 | 3.98e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 3.38e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 8.23e-4 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.97e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.97e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 3.17e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 3.92e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 1.00e-3 | 1.78e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-2 | 3.55e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-3 | 2.89e-2 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.06e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.12e-2 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.07e-2 |
Facial Shape | Mod42 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.28e-2 |
Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.58e-2 |
Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 7.12e-3 |
Facial Shape | Mod53 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.60e-2 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.79e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.40e-2 |
Facial Shape | Mod63 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.60e-3 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 1.00e-2 | 4.46e-2 |
Glycemic Traits | HOMA IR | MTC | Dupuis | 2010 | NA | 37037 | 5.00e-2 | 2.22e-3 |
Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 2.80e-2 |
Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 1.22e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 3.89e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 1.00e-2 | 9.13e-3 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 8.57e-3 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 2.83e-2 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.69e-2 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.64e-2 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.42e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.03e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.34e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.79e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 4.00e-2 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-3 | 2.57e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.29e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 4.78e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 4.37e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 1.40e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 1.14e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 2.04e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 4.79e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.68e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.57e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 4.19e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 4.81e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 2.56e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.81e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 1.73e-2 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 5.00e-2 | 2.74e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 4.63e-2 |
Ambidextrousness | Ambidextrousness | ETC | Kovel | 2019 | 5324 | 325713 | 1.00e-2 | 4.17e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 3.77e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 2.56e-2 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-3 | 3.47e-2 |
Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 5.00e-2 | 3.23e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 5.00e-2 | 1.36e-2 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.33e-2 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.90e-2 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.27e-2 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.61e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.63e-4 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.74e-4 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.51e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.33e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.70e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.31e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.34e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 7.55e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-4 | 1.59e-2 |
Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.81e-3 |
Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.58e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 4.37e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 5.43e-4 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 3.95e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 2.03e-2 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 1.26e-2 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 1.00e-2 | 2.64e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 4.79e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 4.47e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 2.68e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 9.98e-4 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 6.28e-4 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-2 | 1.62e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-3 | 2.59e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-3 | 2.37e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 2.98e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 1.25e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 4.11e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-2 | 4.26e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 3.10e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-5 | 1.88e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 1.55e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-5 | 8.26e-4 |
Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 1.00e-2 | 4.89e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.38e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 1.07e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 1.94e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-4 | 4.89e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-5 | 3.12e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-2 | 1.37e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-4 | 1.53e-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.