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 | 7.45e-3 |
2 Hour Glucose | 2-Hour Glucose | ETC | Saxena | 2010 | NA | 15234 | 1.00e-2 | 4.60e-2 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 9.18e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 5.00e-2 | 2.29e-2 |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 5.00e-2 | 1.49e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-2 | 2.05e-2 |
Breast Cancer | Breast Cancer | MTC | Hunter | 2007 | NA | 1145 | 1.00e-2 | 1.48e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 3.69e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 5.00e-2 | 7.54e-3 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-3 | 2.13e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 5.00e-2 | 9.36e-3 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 1.22e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 5.00e-2 | 1.14e-3 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 3.43e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 4.23e-2 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 5.00e-2 | 2.34e-2 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-2 | 3.35e-2 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-3 | 1.78e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 5.00e-2 | 2.00e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-2 | 4.40e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 5.00e-2 | 1.42e-2 |
Alcohol Consumption | Alcohol Consumption All Dichotomous | MTC | Schumann | 2016 | NA | 74711 | 5.00e-2 | 2.99e-2 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 5.00e-2 | 2.21e-2 |
Alcohol Consumption | Alcohol Consumption Women Dichotomous | MTC | Schumann | 2016 | NA | 47720 | 1.00e-2 | 2.20e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-3 | 4.58e-4 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-2 | 3.18e-2 |
Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 1.00e-2 | 1.09e-2 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 5.00e-2 | 2.68e-3 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 8.50e-3 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.21e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-4 | 2.57e-2 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.47e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 5.00e-2 | 2.68e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.06e-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 | 3.10e-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 | 1.78e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.72e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.28e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density All | MTC | Estrada | 2012 | NA | 32961 | 1.00e-3 | 2.35e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density All | MTC | Estrada | 2012 | NA | 32961 | 1.00e-4 | 6.39e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density All | MTC | Estrada | 2012 | NA | 32961 | 1.00e-5 | 1.38e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-3 | 4.03e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-4 | 8.34e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-4 | 1.64e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-5 | 1.58e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 2.13e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 31800 | 1.00e-4 | 3.71e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-4 | 8.34e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-5 | 2.29e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-4 | 2.52e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-5 | 6.97e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-4 | 3.12e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density Under 15 | MTC | Medina-Gomez | 2018 | NA | 11807 | 1.00e-2 | 3.67e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density Under 15 | MTC | Medina-Gomez | 2018 | NA | 11807 | 1.00e-3 | 9.47e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 4.69e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-2 | 1.72e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-2 | 4.12e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-3 | 4.36e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 3684 | 5.00e-2 | 2.28e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Women | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 2.77e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 5.00e-2 | 4.52e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 4.30e-3 |
Facial Shape | Mod24 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.17e-3 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.43e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.56e-2 |
Facial Shape | Mod35 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.82e-2 |
Facial Shape | Mod38 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.76e-2 |
Facial Shape | Mod39 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.89e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.14e-3 |
Facial Shape | Mod49 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.02e-2 |
Facial Shape | Mod49 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 6.05e-3 |
Facial Shape | Mod51 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.97e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 1.00e-3 | 1.58e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.61e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 7.29e-3 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 4.78e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 1.25e-3 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.41e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 1.00e-3 | 3.02e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 1.00e-4 | 3.32e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 7.49e-3 |
Glycemic Traits | Fasting Glucose | ETC | Dupuis | 2010 | NA | 46186 | 5.00e-2 | 4.67e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 3.93e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 4.34e-2 |
Longevity | Age 90 Or Greater | MTC | Deelen | 2014 | 5406 | 15112 | 5.00e-2 | 1.34e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.16e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.49e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-4 | 1.88e-2 |
Personality Big5 | Agreeableness | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 4.40e-4 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 4.52e-3 |
Sleep Duration | Oversleeper | MTC | Jones | 2016 | NA | 91306 | 5.00e-2 | 3.80e-2 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 5.00e-2 | 3.60e-3 |
Smoking | Log Age Onset Smoking | MTC | Furberg | 2010 | NA | 22438 | 1.00e-3 | 3.99e-3 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.59e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.78e-3 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 4.33e-3 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 5.00e-2 | 4.83e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 5.00e-2 | 9.57e-3 |
Facial attractiveness | Facial attractiveness, male raters | ETC | Hu | 2019 | NA | 3928 | 5.00e-2 | 3.17e-2 |
Facial attractiveness | Facial attractiveness of males, male raters | ETC | Hu | 2019 | NA | 1792 | 1.00e-2 | 7.60e-3 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 5.23e-3 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-2 | 1.96e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-4 | 3.02e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 1.00e-4 | 2.58e-2 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 3.40e-2 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 3.95e-2 |
Nonischemic cardiomyopathy | Nonischemic cardiomyopathy | ETC | Aragam | 2018 | 1816 | 388326 | 5.00e-2 | 9.06e-3 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.85e-2 |
Hippocampal volume | Hippocampal fissure volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.44e-3 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.73e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.76e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.44e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.95e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 9.85e-3 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-4 | 2.62e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-5 | 3.86e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 1.75e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-4 | 7.18e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-5 | 4.44e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 2.07e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 2.53e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT5) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.34e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-2 | 2.95e-3 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-4 | 2.29e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 3.74e-3 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 1.00e-2 | 8.16e-3 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 1.00e-3 | 1.05e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 1.00e-4 | 2.29e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 4.96e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-2 | 3.54e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 4.87e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 5.00e-2 | 7.36e-3 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 1.00e-2 | 3.95e-2 |
Birth | Early spontaneous preterm birth | ETC | Liu X | 2019 | 1,139 | 60,148 | 5.00e-2 | 5.48e-3 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 1.00e-4 | 4.81e-3 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 1.00e-5 | 1.70e-3 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 5.00e-2 | 3.92e-2 |
Birth weight | Birth weight variance | ETC | Wang H | 2019 | NA | 197,758 | 5.00e-2 | 4.09e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 2.12e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 1.78e-2 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 5.00e-2 | 1.08e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-4 | 4.15e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 1.02e-4 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-2 | 2.12e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 1.73e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-4 | 3.60e-3 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-5 | 5.84e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 4.79e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 2.32e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 2.35e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 2.74e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 2.11e-2 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 1.00e-2 | 4.13e-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.