Cell type-associated traits map for the [CordBlood_Monocyte][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 [CordBlood_Monocyte]. 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 | 3.92e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 5.00e-2 | 1.53e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 1.26e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 2.12e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 3.17e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 8.04e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 5.00e-2 | 7.68e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-2 | 1.84e-2 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-3 | 3.25e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-4 | 1.00e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 8.93e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 5.00e-2 | 1.54e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-2 | 8.35e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 2.80e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-4 | 1.22e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-5 | 6.27e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 3.71e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 3.33e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 5.00e-2 | 5.64e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.84e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 7.24e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 4.48e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 1.85e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 2.96e-2 |
Depressive Symptoms | Depressive Symptoms | ETC | Okbay | 2016 | 122210 | 58835 | 5.00e-2 | 2.47e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 7.15e-3 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 1.00e-2 | 2.63e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 1.15e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 1.14e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 1.87e-5 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 1.51e-4 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 1.53e-4 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.29e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 5.00e-2 | 2.01e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-3 | 4.30e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-4 | 2.98e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 3.96e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 3.11e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 6.79e-5 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 8.99e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 1.93e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 5.00e-2 | 4.67e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-2 | 4.76e-4 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 1.61e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-4 | 6.68e-4 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-5 | 1.16e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 2.33e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 2.61e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 1.66e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-3 | 3.00e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-4 | 1.76e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-5 | 6.36e-3 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 1.52e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 2.54e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.60e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 1.34e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 4.59e-6 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 2.73e-4 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-3 | 2.30e-2 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 5.35e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 8.95e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-2 | 3.87e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.17e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.75e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.71e-2 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.29e-2 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.48e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.79e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.44e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.88e-3 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.45e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 3.32e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 2.71e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 4.29e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 5.00e-2 | 7.36e-3 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-2 | 8.34e-3 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 7.88e-3 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 4.45e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 2.77e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 9.33e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 1.34e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 3.74e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 2.25e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.95e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.32e-2 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.00e-2 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 5.42e-3 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 3.32e-2 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 4.97e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-3 | 3.87e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.07e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 1.67e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 6.99e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.41e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.09e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.46e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 1.91e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.36e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.81e-5 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.84e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 2.70e-4 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 4.82e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.40e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.58e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 9.54e-3 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 4.53e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 4.96e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 1.00e-3 | 3.59e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 5.00e-2 | 8.95e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 3.27e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 4.14e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 9.81e-3 |
Facial Shape | Mod63 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.47e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 5.00e-2 | 2.00e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 4.82e-3 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 4.95e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 4.14e-3 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 2.25e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.03e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.50e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.85e-3 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 5.00e-2 | 4.19e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 9.70e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 5.14e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 3.29e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 2.87e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 2.78e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 7.87e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 6.52e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 1.22e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 2.33e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 8.03e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 2.31e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 1.65e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 1.58e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 5.53e-4 |
Insulin Sensitivity Index | Model 1 | MTC | Walford | 2016 | NA | 16753 | 1.00e-2 | 1.30e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 1.78e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 3.94e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-3 | 3.97e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Activity | MTC | Suchindran | 2010 | NA | 6668 | 5.00e-2 | 3.89e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Activity | MTC | Suchindran | 2010 | NA | 6668 | 1.00e-2 | 3.98e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Mass | MTC | Suchindran | 2010 | NA | 6668 | 1.00e-2 | 4.03e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.74e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 5.00e-2 | 4.99e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.01e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.55e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 7.68e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 3.87e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 5.70e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.22e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 1.27e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.43e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 7.81e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.81e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 2.50e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 1.58e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 1.66e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 3.19e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 3.49e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 3.30e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 1.17e-2 |
Shoulder Dislocation | Shoulder Dislocation, European Or Latino | MTC | Kim | 2017 | 662 | 82602 | 5.00e-2 | 7.50e-3 |
Social Deprivation | Household Income One Person Per Household | MTC | Hill | 2016 | NA | 112005 | 1.00e-4 | 4.44e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-3 | 2.95e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 9.06e-3 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-2 | 4.03e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 1.16e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 8.54e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 6.36e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 4.54e-4 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 3.23e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 1.89e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 3.19e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 8.75e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 2.12e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 1.05e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 2.87e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 3.05e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 9.72e-4 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.84e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 4.08e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 2.83e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 4.03e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 1.08e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 5.85e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 4.16e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 7.62e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 2.28e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 7.19e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 5.44e-5 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 7.93e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 3.35e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 9.80e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 1.45e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 8.00e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 3.54e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 2.82e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 1.12e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 8.02e-5 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 7.57e-6 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-4 | 4.80e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-5 | 2.03e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 4.80e-2 |
Facial attractiveness | Facial attractiveness of females, male raters | ETC | Hu | 2019 | NA | 2062 | 5.00e-2 | 3.39e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 4.27e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 1.04e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 1.91e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 2.09e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 3.54e-5 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 3.52e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 4.46e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.60e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 1.90e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.93e-4 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-3 | 3.11e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 5.00e-2 | 1.74e-4 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-2 | 3.57e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-3 | 1.59e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-4 | 7.10e-3 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 4.13e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-3 | 4.91e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 2.88e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 6.20e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 1.75e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 1.91e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 7.16e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 4.20e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 4.81e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 3.13e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 2.50e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 6.56e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 4.77e-2 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-4 | 4.40e-2 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-5 | 2.70e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-5 | 1.71e-2 |
Smoking | Smoking behaviour, cigarettes smoked per day | ETC | Liua | 2019 | NA | 377334 | 1.00e-3 | 4.57e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 3.02e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 9.65e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 2.72e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 2.00e-3 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 5.00e-2 | 4.35e-3 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 1.00e-2 | 2.59e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 1.69e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-2 | 2.54e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-3 | 1.08e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 5.00e-2 | 3.85e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-4 | 1.20e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 5.00e-2 | 2.29e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-3 | 2.01e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-4 | 6.35e-3 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 5.00e-2 | 3.95e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-2 | 4.25e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-3 | 1.99e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-4 | 1.75e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-5 | 4.42e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 4.02e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 1.76e-2 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 2.02e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 1.12e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 4.05e-4 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.66e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 5.00e-2 | 4.96e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 3.60e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-5 | 1.17e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-2 | 3.88e-3 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-3 | 1.18e-3 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-4 | 2.31e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 7.19e-3 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 5.00e-2 | 3.19e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-2 | 3.60e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 3.61e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 3.60e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 5.36e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 2.15e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 1.41e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 3.58e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 2.00e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 5.21e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 8.42e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 5.03e-4 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 2.84e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 2.07e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 1.32e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 4.38e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 5.00e-2 | 2.35e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 3.28e-2 |
Birth | Post-term birth | ETC | Liu X | 2019 | 7,888 | 60,148 | 5.00e-2 | 2.01e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 5.00e-2 | 1.46e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 5.41e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 8.47e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 9.34e-6 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 1.13e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 1.40e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 1.25e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 9.56e-4 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 5.75e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 2.74e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 3.44e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 2.09e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-2 | 4.81e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 1.59e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 4.11e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 1.38e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 1.19e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 7.68e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 4.37e-3 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 1.51e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 2.23e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 3.12e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 5.00e-2 | 5.70e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 4.88e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-3 | 1.74e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 2.29e-3 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 2.72e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 2.67e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 5.00e-2 | 2.36e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 3.05e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 2.77e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 1.17e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 1.35e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-5 | 3.22e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 1.08e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 3.97e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 2.42e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 5.33e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.59e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 4.04e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-2 | 3.59e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-3 | 9.98e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 2.87e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-3 | 1.32e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 4.80e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-3 | 2.40e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.65e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 8.77e-3 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 5.00e-2 | 4.99e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 2.15e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-2 | 6.43e-4 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 5.00e-2 | 1.57e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-3 | 5.06e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-4 | 5.73e-5 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 7.18e-5 |
* 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.