Cell type-associated traits map for the [FetalRib_Endothelial cell][link to cell ontology]. Due to the large number of UKBB panel traits, this figure shows the non-UKBB traits with a CSEA p (chi2) < 1e-04 as default, and users can change it to 1e-03, 1e-05, or 1e-06. For each cell type and trait association pair (shown as an edge in the figure), there may be multiple TAG sets, each defined at a different threshold. The pair with the minimum p-value is shown in the figure, with the p-value showing along each edge. The number of edges in the figure is thus less than (or equal to) the number of entries in the table below.” The association association is listed in the table at bottom, Because each trait might have multiple TAG sets defined at different thresholds, multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns).
Table. List of Cell type-associated traits pairs for [FetalRib_Endothelial cell]. If the network above is too complicated. the users could obtain the association information from the table at bottom. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.
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 | 5.00e-2 | 9.06e-3 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 4.01e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 5.00e-2 | 2.58e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 1.32e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 4.01e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 8.82e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 3.68e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 4.49e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 2.76e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 3.83e-3 |
Blood Pressure | Blood Pressure | MTC | Ehret | 2011 | NA | 69395 | 1.00e-3 | 7.36e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 5.00e-2 | 3.24e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-4 | 2.89e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-2 | 3.55e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 4.02e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 2.79e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 1.43e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-3 | 5.34e-4 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 5.00e-2 | 2.90e-3 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 3.74e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-3 | 1.40e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-4 | 4.30e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-5 | 3.79e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 1.55e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.09e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 4.20e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 2.62e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-2 | 1.86e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-2 | 3.26e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 5.00e-2 | 3.93e-3 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 3.44e-3 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 2.81e-2 |
Insomnia | Insomnia | MTC | Hammerschlag | 2017 | 12863 | 40776 | 1.00e-4 | 2.21e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 4.79e-2 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.43e-2 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 5.00e-2 | 2.53e-2 |
Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 1.00e-2 | 4.55e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 5.00e-2 | 1.59e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 8.75e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 5.00e-2 | 2.99e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-2 | 2.89e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 4.51e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 1.83e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 4.90e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 5.00e-2 | 9.26e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-2 | 1.49e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 3.23e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 5.95e-4 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 1.89e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 4.13e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 4.20e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 2.29e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 2.68e-2 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 5.00e-2 | 1.99e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 5.00e-2 | 3.45e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 1.00e-2 | 4.91e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 2.99e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 6.40e-4 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 4.80e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 6.46e-5 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 2.57e-4 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 5.56e-4 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 1.39e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 5.00e-2 | 4.37e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 1.98e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.14e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.99e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 2.82e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 5.00e-2 | 2.92e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-3 | 3.85e-3 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-2 | 1.72e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.83e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 9.98e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.11e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.01e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 1.16e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.35e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 7.50e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.30e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 4.39e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 4.79e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.00e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 2.14e-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 | 8.37e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 4.11e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.65e-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 | 1.57e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 3.15e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 1.78e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.55e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.06e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.15e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 1.89e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.24e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.67e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 2.41e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 60 And More | MTC | Medina-Gomez | 2018 | NA | 22504 | 1.00e-2 | 4.18e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 5.00e-2 | 1.83e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-2 | 3.72e-3 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 5.00e-2 | 1.28e-2 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 1.00e-3 | 3.78e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 1.08e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 5.11e-3 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-5 | 3.56e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 2.86e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-2 | 1.36e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-3 | 7.08e-3 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-4 | 9.40e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 3684 | 1.00e-2 | 2.02e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 3.48e-4 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 2.30e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.10e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 3.60e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 3.06e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 1.41e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7381 | 1.00e-3 | 5.93e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 8.75e-4 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 3.01e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 7.72e-4 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 3.97e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 5.00e-2 | 3.22e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 4.44e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 1.07e-4 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-3 | 2.94e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-4 | 1.88e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.22e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.31e-4 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.11e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.38e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.12e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.83e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.90e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.04e-3 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.43e-2 |
Facial Shape | Mod42 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.51e-3 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.57e-2 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.83e-3 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.60e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.78e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 5.00e-2 | 1.28e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 1.00e-2 | 2.79e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 1.00e-2 | 4.84e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 3.91e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 3.50e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-3 | 1.88e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 5.00e-2 | 3.45e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 2.36e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 5.50e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 2.39e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 3.04e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 3.38e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 2.80e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 1.11e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 8.98e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 1.53e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 3.05e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 2.46e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 1.83e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 1.27e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 1.01e-2 |
Intracerebral Hemorrhage | Lobar ICH | MTC | Woo | 2014 | 664 | 1481 | 1.00e-2 | 3.92e-2 |
Kidney Function | CKDi25 | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 3.03e-2 |
Kidney Function | CKDi25 | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 2.56e-3 |
Kidney Function | CKDi25 | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 1.59e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 1.05e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-4 | 4.61e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-5 | 1.05e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 2.91e-4 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 1.48e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 3.97e-2 |
Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-5 | 1.35e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 3.89e-3 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 2.55e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 1.16e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Mass | MTC | Suchindran | 2010 | NA | 6668 | 5.00e-2 | 1.98e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 1.70e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.19e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.56e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 6.92e-4 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.17e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 9.72e-4 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 4.80e-4 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-3 | 9.96e-3 |
Pubertal Anthropometrics | Total Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 3.83e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 2.97e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 2.69e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 5.88e-5 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-2 | 2.63e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-3 | 1.32e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 3.30e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 4.28e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 8.89e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 1.23e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 3.23e-2 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 5.00e-2 | 1.18e-2 |
Social Deprivation | Household Income | MTC | Hill | 2016 | NA | 112005 | 1.00e-2 | 3.66e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 5.00e-2 | 1.45e-2 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.96e-2 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 9.97e-3 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.67e-3 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.07e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.43e-2 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-4 | 4.57e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-2 | 4.96e-2 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 1.98e-2 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 2.55e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 1.12e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.75e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 1.10e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.98e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 2.31e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 2.89e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 4.80e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 4.80e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 3.29e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 1.96e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 2.15e-2 |
PAN | Pancreatic Cancer | ETC | Amundadottir | 2009 | 1771 | 1805 | 5.00e-2 | 1.84e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 1.78e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 1.46e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 4.82e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.70e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 1.05e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 1.39e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 8.21e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 3.97e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 5.00e-2 | 9.70e-5 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 5.72e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 1.37e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 4.18e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 2.70e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 4.57e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 4.56e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 1.57e-2 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 5.00e-2 | 2.44e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-3 | 1.55e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 1.14e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 4.34e-4 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 5.00e-2 | 1.06e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-5 | 4.37e-2 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 4.09e-2 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 5.00e-2 | 1.94e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 2.08e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 6.09e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 1.60e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 1.16e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 3.18e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 5.26e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 7.80e-6 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 2.28e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 3.07e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 9.32e-3 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 5.00e-2 | 6.12e-3 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-3 | 1.86e-2 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-4 | 1.96e-2 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-5 | 1.15e-2 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 5.00e-2 | 3.77e-2 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-2 | 2.91e-3 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-5 | 1.07e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-5 | 8.33e-3 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 5.00e-2 | 4.39e-3 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 1.00e-2 | 1.45e-2 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 5.00e-2 | 3.03e-2 |
Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 5.00e-2 | 2.23e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 6.29e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 2.22e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 5.07e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 2.09e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 1.55e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 9.04e-4 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 5.06e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 4.55e-3 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 3.96e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.12e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 1.74e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 2.83e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 1.30e-2 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 5.00e-2 | 7.86e-3 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-3 | 4.89e-2 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-5 | 1.68e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 5.00e-2 | 9.53e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-2 | 4.35e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-3 | 3.33e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 7.81e-3 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 4.80e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 7.12e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 2.71e-2 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 5.44e-4 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 1.23e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 3.09e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-2 | 1.47e-3 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-3 | 1.70e-3 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-4 | 3.44e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 4.80e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-3 | 1.13e-3 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-4 | 6.38e-5 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-5 | 2.87e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-4 | 3.53e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 2.12e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 5.00e-2 | 2.22e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 1.46e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 5.00e-2 | 3.11e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 4.15e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 9.08e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 6.78e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 3.15e-2 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 9.37e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 8.21e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 3.15e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-2 | 2.55e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.16e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-4 | 4.80e-3 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-5 | 4.37e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-2 | 8.73e-4 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-3 | 1.58e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-4 | 1.17e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 9.96e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-2 | 2.22e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-3 | 3.84e-4 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 4.37e-4 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 1.16e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.84e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 5.64e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 1.50e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 3.79e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 3.19e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 4.10e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 3.12e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-4 | 4.79e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 3.47e-3 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-2 | 3.06e-5 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-3 | 4.21e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 5.00e-2 | 2.31e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-2 | 2.35e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-3 | 6.92e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-4 | 5.71e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-5 | 1.38e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 5.00e-2 | 3.18e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-4 | 3.84e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 4.57e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 1.35e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-2 | 3.08e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-3 | 4.75e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT3) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.91e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 5.60e-3 |
Nonalcoholic Liver disease | Nonalcoholic fatty liver disease | ETC | Namjou B | 2019 | 1,106 | 8,571 | 1.00e-2 | 3.19e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 5.00e-2 | 1.65e-2 |
Multisite chronic pain | Multisite chronic pain | ETC | Johnston KJA | 2019 | NA | 387,649 | 1.00e-3 | 8.46e-3 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 3.14e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-3 | 1.52e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-4 | 3.70e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-5 | 2.00e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 5.00e-2 | 1.46e-3 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 1.74e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-3 | 2.61e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 4.06e-3 |
Parietal lobe volume | Parietal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.47e-2 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 1.70e-2 |
Frontal lobe volume | Frontal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.82e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 5.00e-2 | 1.96e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-2 | 1.03e-4 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-3 | 3.16e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-4 | 5.58e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-5 | 2.62e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 5.00e-2 | 1.11e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-2 | 1.19e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-3 | 1.08e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-4 | 1.48e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 5.00e-2 | 3.51e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 2.11e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 2.29e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 1.60e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 3.19e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 2.39e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 7.36e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 7.42e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 1.31e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 1.31e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-2 | 3.64e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 7.20e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 6.30e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 3.95e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 5.00e-2 | 2.69e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 2.03e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 2.23e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 1.23e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-2 | 1.18e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-3 | 4.48e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 3.12e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 1.36e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 5.00e-2 | 1.71e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-2 | 3.99e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 1.65e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-4 | 4.30e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-5 | 1.29e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 5.00e-2 | 1.93e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-2 | 1.55e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-2 | 3.12e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 2.99e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 1.54e-4 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-2 | 2.99e-2 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-3 | 1.06e-3 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-4 | 2.11e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-3 | 4.30e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 8.60e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-5 | 1.78e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 1.68e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-4 | 3.79e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-3 | 2.82e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-4 | 1.64e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-5 | 3.44e-2 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 5.00e-2 | 3.78e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 1.91e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 5.00e-2 | 3.46e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 5.00e-2 | 4.26e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-2 | 7.88e-3 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-3 | 4.90e-2 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 5.00e-2 | 3.09e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 1.00e-3 | 4.37e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 5.00e-2 | 2.11e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-5 | 4.79e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-2 | 1.65e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 4.84e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 3.75e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 5.77e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 5.41e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 3.48e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-5 | 2.29e-2 |
Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 1.00e-3 | 9.45e-3 |
Temporale grey matter volume | Left planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,037 | 5.00e-2 | 1.50e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 5.00e-2 | 4.35e-2 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 5.00e-2 | 1.32e-2 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 1.00e-2 | 1.22e-2 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-4 | 3.68e-2 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 5.00e-2 | 1.85e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.65e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 5.00e-2 | 2.77e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-2 | 1.62e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-3 | 5.59e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 1.00e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 1.40e-4 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 2.33e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 4.62e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 2.17e-2 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 5.00e-2 | 6.52e-3 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 2.17e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-3 | 4.08e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 1.86e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-3 | 4.60e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 1.41e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 4.06e-3 |
* 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.