Cell type-associated traits map for the [Lake_2017_VisualCortex_Pericytes][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 [Lake_2017_VisualCortex_Pericytes]. 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) |
---|---|---|---|---|---|---|---|---|
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 1.17e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 5.00e-2 | 1.01e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 3.28e-2 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Boraska | 2014 | 2907 | 14860 | 5.00e-2 | 2.04e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-3 | 2.68e-2 |
Birth Length | Birth Length | MTC | van-der-Valk | 2014 | NA | 28238 | 1.00e-2 | 3.58e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 1.77e-3 |
Blood Pressure | Blood Pressure | MTC | Ehret | 2011 | NA | 69395 | 5.00e-2 | 3.75e-2 |
BMI | Body Mass Index | MTC | Wood | 2016 | 29925 | 89763 | 5.00e-2 | 4.88e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 4.40e-5 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-4 | 9.51e-3 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-5 | 1.43e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 3.68e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 1.00e-2 | 2.74e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 2.57e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 2.00e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-3 | 4.66e-4 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 5.00e-2 | 9.37e-4 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 4.84e-3 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-3 | 2.25e-4 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-4 | 5.62e-6 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-5 | 9.60e-6 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 2.14e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-3 | 2.59e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-4 | 3.04e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 3.36e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 2.83e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 4.42e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 5.00e-2 | 2.31e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 5.00e-2 | 3.94e-3 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 1.00e-2 | 1.09e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 2.56e-3 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 1.00e-2 | 1.11e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 2.12e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 1.19e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 3.53e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 1.27e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 4.93e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 3.76e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 3.96e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-2 | 1.40e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-5 | 2.21e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 2.64e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 1.06e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 3.15e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 8.81e-4 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-5 | 1.22e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 1.05e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 5.00e-2 | 1.78e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-4 | 4.20e-2 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 5.00e-2 | 5.40e-3 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-2 | 2.26e-3 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 5.00e-2 | 3.56e-3 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-2 | 2.35e-4 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 2.65e-5 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 5.00e-2 | 1.12e-2 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 1.00e-2 | 4.66e-3 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 1.00e-3 | 4.93e-3 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 5.00e-2 | 3.46e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 2.38e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.02e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 6.20e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 2.47e-2 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 5.00e-2 | 5.40e-3 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 5.00e-2 | 3.55e-2 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-4 | 7.93e-3 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-5 | 3.40e-2 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 1.28e-2 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 4.22e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-2 | 4.60e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 2.21e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 4.05e-3 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 4.95e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-4 | 2.21e-2 |
Anxiety | Anxiety Dichotomous | MTC | Otowa | 2016 | 7016 | 14745 | 5.00e-2 | 1.58e-2 |
Aortic Valve Calcification | Mitral Annular Calcification | MTC | Thanassoulis | 2013 | NA | 3795 | 5.00e-2 | 4.59e-2 |
Aortic Valve Calcification | Mitral Annular Calcification | MTC | Thanassoulis | 2013 | NA | 3795 | 1.00e-2 | 2.25e-2 |
Aortic Valve Calcification | Mitral Annular Calcification | MTC | Thanassoulis | 2013 | NA | 3795 | 1.00e-3 | 1.22e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 5.00e-2 | 7.80e-3 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 1.18e-3 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-3 | 1.17e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-4 | 2.18e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.77e-3 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.04e-2 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.62e-2 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.52e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.84e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.94e-3 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.64e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.14e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.00e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.68e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 4.55e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 1.31e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 1.59e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 6.46e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 1.17e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 3.88e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 1.26e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 1.57e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-5 | 1.94e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 4.26e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 2.59e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 6.52e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 2.94e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.01e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 2.64e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.80e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.68e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 1.36e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 6.24e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.83e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 1.00e-2 | 3.26e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-4 | 3.40e-2 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 5.00e-2 | 2.63e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.52e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.85e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.45e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 4.44e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 1.17e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.72e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.67e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.25e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.93e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 5.31e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.17e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 7.64e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 6.44e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.48e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.28e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.90e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.33e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.87e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.09e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.47e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.05e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.05e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 7.10e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 4.20e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 3.20e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 1.41e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 3.26e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.54e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.47e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.80e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.31e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 1.07e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 9.95e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.08e-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 | 4.99e-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 | 5.40e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 1.56e-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 | 2.77e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.46e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 5.78e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.26e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.67e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.06e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 6.82e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.86e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 4.01e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.53e-4 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.41e-4 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.11e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 1.60e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 1.86e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.01e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.32e-4 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.60e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 4.07e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.63e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 4.31e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 4.05e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 2.87e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 3.07e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-2 | 2.16e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 3.23e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 7.82e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 2.52e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 4.37e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-2 | 4.52e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 60 And More | MTC | Medina-Gomez | 2018 | NA | 22504 | 5.00e-2 | 9.64e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 5.00e-2 | 6.81e-4 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-2 | 2.45e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-3 | 1.33e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 5.00e-2 | 2.65e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-2 | 2.80e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 5.00e-2 | 3.65e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 3.25e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 1.58e-3 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-2 | 3.60e-3 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-3 | 8.63e-3 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-4 | 1.45e-2 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 5.00e-2 | 1.40e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 8.18e-4 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 9.16e-6 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-3 | 4.91e-8 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-4 | 8.71e-7 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-5 | 1.99e-4 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 4.57e-3 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 1.03e-3 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-3 | 1.74e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-4 | 3.87e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 2.05e-5 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-2 | 2.18e-6 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-3 | 2.80e-4 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-4 | 9.98e-6 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-5 | 2.86e-4 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 1 | MTC | Bustamante | 2016 | 1339 | 5064 | 5.00e-2 | 1.46e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 1.19e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 1.00e-2 | 2.74e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 3.40e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 8.51e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 3.05e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 1.05e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7381 | 1.00e-2 | 2.91e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 2.57e-4 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 1.00e-2 | 2.81e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 5.00e-2 | 3.74e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 2.25e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 1.00e-2 | 1.93e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 8.53e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7432 | 1.00e-3 | 3.58e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 1.62e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 6.29e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 2.65e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 5.09e-4 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 1.32e-2 |
Facial Shape | Mod12 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.45e-3 |
Facial Shape | Mod12 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.99e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.89e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.51e-3 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.07e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.45e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.60e-2 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.72e-2 |
Facial Shape | Mod25 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.33e-3 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.83e-3 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.33e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.63e-3 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.31e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.59e-2 |
Facial Shape | Mod39 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.06e-2 |
Facial Shape | Mod42 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.26e-2 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.71e-2 |
Facial Shape | Mod50 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.00e-4 |
Facial Shape | Mod54 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.56e-2 |
Facial Shape | Mod6 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.02e-3 |
Facial Shape | Mod6 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.88e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.50e-2 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.35e-2 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.59e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 1.00e-2 | 3.92e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 5.00e-2 | 3.90e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.58e-4 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.96e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 1.00e-3 | 4.88e-2 |
Glycemic Traits | Fasting Glucose | ETC | Dupuis | 2010 | NA | 46186 | 5.00e-2 | 1.07e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 5.00e-2 | 6.77e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 1.18e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 2.01e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 1.63e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 1.58e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 1.04e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 2.70e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 4.07e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 3.89e-2 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 5.00e-2 | 2.24e-2 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 1.00e-2 | 1.18e-2 |
Insulin Secretion | Acute Insulin Response Adjusted For Insulin Sensitivity | MTC | Wood | 2017 | NA | 2087 | 5.00e-2 | 2.72e-2 |
Insulin Secretion | Peak Insulin Response | MTC | Wood | 2017 | NA | 2159 | 5.00e-2 | 1.28e-2 |
Insulin Secretion | Peak Insulin Response | MTC | Wood | 2017 | NA | 2159 | 1.00e-2 | 4.96e-2 |
Insulin Sensitivity Index | Model 1 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 1.75e-2 |
Insulin Sensitivity Index | Model 2 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 1.57e-3 |
Insulin Sensitivity Index | Model 2 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 3.29e-3 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 1.70e-2 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 4.26e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 4.74e-4 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 1.00e-2 | 1.68e-2 |
Intracerebral Hemorrhage | Lobar ICH | MTC | Woo | 2014 | 664 | 1481 | 5.00e-2 | 4.47e-3 |
Intracerebral Hemorrhage | Lobar ICH | MTC | Woo | 2014 | 664 | 1481 | 1.00e-2 | 1.14e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 2.72e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 3.62e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 4.53e-2 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 1.00e-2 | 3.28e-2 |
Kidney Function | eGFR Decline | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 1.78e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 4.48e-3 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 5.00e-2 | 4.17e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-3 | 4.09e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.08e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 4.08e-2 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.47e-3 |
Longevity | Age 85 Or Greater | MTC | Deelen | 2014 | 7729 | 16121 | 1.00e-3 | 4.37e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.53e-3 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 4.34e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.75e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 4.26e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 2.63e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.82e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.50e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.65e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.54e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.83e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 4.55e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.68e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 1.59e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 4.10e-3 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 2.23e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 8.23e-3 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 1.59e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 1.49e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 1.19e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 2.72e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 1.87e-3 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 2.11e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 7.03e-4 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 4.80e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 3.02e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 1.88e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 3.47e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 2.25e-3 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-2 | 5.75e-3 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 5.00e-2 | 4.37e-2 |
Smoking | Current Vs Former Discrete | MTC | Furberg | 2010 | 20619 | 15226 | 1.00e-2 | 7.64e-3 |
Smoking | Current Vs Former Discrete | MTC | Furberg | 2010 | 20619 | 15226 | 1.00e-3 | 2.25e-3 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-2 | 4.39e-2 |
Social Deprivation | Household Income | MTC | Hill | 2016 | NA | 112005 | 5.00e-2 | 4.77e-2 |
Social Deprivation | Household Income One Person Per Household | MTC | Hill | 2016 | NA | 112005 | 5.00e-2 | 2.51e-2 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.73e-3 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.93e-3 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.52e-2 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.87e-3 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.90e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 8.61e-3 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 1.85e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.79e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.90e-3 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 5.50e-3 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 2.89e-2 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 5.00e-2 | 1.38e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 5.00e-2 | 4.96e-3 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 3.65e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 9.11e-4 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.56e-4 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 1.11e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 2.51e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 3.67e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 3.76e-4 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 2.67e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 4.88e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.32e-3 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 7.75e-3 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 2.93e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.30e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 8.70e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 3.21e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 9.08e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 1.26e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 1.35e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 2.78e-2 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 1.22e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 3.14e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 4.50e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 3.40e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 4.10e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 6.91e-4 |
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-5 | 3.74e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 7.68e-5 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 2.83e-3 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 4.22e-3 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 5.06e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 1.12e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 1.87e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 2.68e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 2.73e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 7.43e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 1.23e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 1.07e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 4.38e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 4.54e-5 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 3.26e-5 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 1.36e-4 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 1.64e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 4.04e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 1.16e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 3.56e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 7.35e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 1.70e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 2.96e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 8.16e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 4.12e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 1.88e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 4.62e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 4.57e-3 |
Ambidextrousness | Ambidextrousness | ETC | Kovel | 2019 | 5324 | 325713 | 5.00e-2 | 1.55e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 5.00e-2 | 2.31e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 1.45e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-3 | 1.29e-2 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 2.28e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 1.54e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 7.78e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 3.99e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 7.21e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 3.74e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 1.13e-7 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 8.16e-5 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 2.09e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 2.39e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.60e-3 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 5.00e-2 | 9.82e-3 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-2 | 4.49e-3 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-3 | 5.11e-4 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-4 | 1.53e-4 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-5 | 3.47e-4 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-3 | 2.88e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-2 | 2.48e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-3 | 5.00e-3 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-4 | 4.83e-2 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 1.00e-2 | 3.43e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 1.51e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 3.53e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 2.46e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.49e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 2.15e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 6.35e-3 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 1.73e-5 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 2.61e-3 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 3.52e-2 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-2 | 4.68e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-3 | 2.03e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-4 | 2.73e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 5.00e-2 | 2.55e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-2 | 1.52e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-3 | 5.89e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-4 | 9.72e-3 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 5.00e-2 | 6.87e-3 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-2 | 6.95e-5 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-3 | 1.91e-3 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-4 | 2.19e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 2.35e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 6.44e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 3.19e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 3.02e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 1.92e-2 |
Nonischemic cardiomyopathy | Nonischemic cardiomyopathy | ETC | Aragam | 2018 | 1816 | 388326 | 5.00e-2 | 1.73e-2 |
Brain volume | Dentate gyrus granule cell layer volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 6.23e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 1.30e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 5.80e-3 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-3 | 1.79e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-3 | 2.63e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 9.79e-3 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 5.00e-2 | 2.70e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-2 | 1.00e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-4 | 9.86e-4 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 2.70e-4 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-2 | 8.68e-3 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-3 | 1.90e-3 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-4 | 8.23e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 3.11e-4 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-3 | 7.66e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-4 | 2.29e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-2 | 9.65e-3 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-3 | 3.34e-3 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-4 | 7.22e-4 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-2 | 9.06e-5 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-3 | 2.33e-3 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-4 | 1.13e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-5 | 1.07e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 8.78e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 5.50e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 1.85e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 1.78e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 5.00e-2 | 4.77e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-2 | 4.43e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.11e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-4 | 1.17e-3 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-5 | 3.76e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 5.00e-2 | 2.91e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 1.67e-3 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-2 | 3.96e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-5 | 4.37e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 3.38e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 1.11e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 7.91e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 1.12e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 1.97e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 3.00e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 9.69e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 4.13e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 1.99e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 2.37e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 9.56e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 6.44e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 6.58e-4 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 2.38e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 1.48e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-2 | 1.84e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 6.11e-3 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 1.08e-4 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-2 | 2.04e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-3 | 1.63e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-3 | 5.04e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-4 | 2.10e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 5.00e-2 | 2.30e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 1.78e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 5.00e-2 | 2.27e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 1.00e-2 | 2.64e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 1.00e-3 | 2.15e-2 |
Renal cell carcinoma | Renal cell carcinoma male | ETC | Laskar RS | 2019 | 3,227 | 4,916 | 5.00e-2 | 1.10e-2 |
Renal cell carcinoma | Renal cell carcinoma male | ETC | Laskar RS | 2019 | 3,227 | 4,916 | 1.00e-2 | 4.07e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 2.05e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 2.05e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-3 | 4.37e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.01e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 3.13e-2 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 9.30e-3 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 4.57e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 1.00e-2 | 3.70e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 3.35e-2 |
Frontal lobe volume | Frontal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 4.25e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 5.00e-2 | 4.39e-2 |
Birth | Early spontaneous preterm birth | ETC | Liu X | 2019 | 1,139 | 60,148 | 5.00e-2 | 3.02e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 5.00e-2 | 1.56e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-2 | 3.47e-5 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-3 | 3.67e-5 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-4 | 1.98e-4 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-5 | 1.14e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 1.77e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 1.29e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 3.77e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 8.03e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 7.49e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 1.66e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 7.51e-3 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 1.00e-2 | 7.27e-3 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 1.00e-4 | 3.27e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 2.67e-9 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 2.77e-12 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 3.10e-10 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 6.84e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 3.11e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 4.38e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 5.23e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 6.30e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 9.44e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 3.13e-5 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-4 | 1.29e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-5 | 7.81e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 1.13e-9 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 2.78e-8 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-2 | 4.54e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 4.61e-3 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-3 | 7.36e-4 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-4 | 1.44e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-5 | 2.56e-3 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 2.43e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 4.52e-3 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 3.99e-2 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 1.00e-3 | 5.74e-3 |
Lung function | Lung function (forced vital capacity) variance | ETC | Wang H | 2019 | NA | 317,222 | 5.00e-2 | 9.37e-3 |
Lung function | Lung function (forced vital capacity) variance | ETC | Wang H | 2019 | NA | 317,222 | 1.00e-2 | 4.87e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 5.63e-3 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 1.00e-2 | 1.50e-3 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 1.00e-3 | 2.11e-3 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 5.00e-2 | 1.91e-2 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 1.00e-2 | 3.52e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 1.47e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 1.32e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 4.52e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 1.44e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 1.65e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 5.00e-2 | 3.54e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 1.00e-2 | 4.89e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 4.38e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 1.77e-2 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 5.00e-2 | 4.78e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 5.00e-2 | 8.92e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 2.02e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-3 | 3.00e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 5.80e-6 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 1.00e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-3 | 2.69e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 4.73e-5 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-2 | 1.07e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 1.56e-4 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-2 | 1.27e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 1.46e-7 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 1.12e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 3.70e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 1.49e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-5 | 4.80e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 3.15e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-5 | 4.62e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-2 | 1.98e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-3 | 2.29e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 2.47e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-3 | 1.44e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-4 | 1.57e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-5 | 2.58e-3 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 5.00e-2 | 4.41e-3 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 5.00e-2 | 7.04e-4 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 1.00e-2 | 2.97e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.95e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 5.66e-3 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 7.53e-3 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.67e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.47e-4 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 4.29e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-2 | 1.16e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-3 | 1.25e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-4 | 1.33e-4 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-5 | 5.74e-4 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 5.00e-2 | 4.24e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 3.97e-11 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 1.45e-8 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 1.15e-6 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 3.61e-6 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 2.06e-6 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 8.62e-3 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 1.33e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 3.96e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 3.01e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-2 | 3.96e-2 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 5.00e-2 | 3.27e-2 |
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 | 4.80e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 9.82e-3 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-2 | 4.38e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 1.00e-3 | 4.09e-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.