Cell type-associated traits map for the [AdultPeripheralBlood_B cell][link to cell ontology]. Due to the large number of UKBB panel traits, this figure shows the non-UKBB traits with a CSEA p (chi2) < 1e-04 as default, and users can change it to 1e-03, 1e-05, or 1e-06. For each cell type and trait association pair (shown as an edge in the figure), there may be multiple TAG sets, each defined at a different threshold. The pair with the minimum p-value is shown in the figure, with the p-value showing along each edge. The number of edges in the figure is thus less than (or equal to) the number of entries in the table below.” The association association is listed in the table at bottom, Because each trait might have multiple TAG sets defined at different thresholds, multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns).
Table. List of Cell type-associated traits pairs for [AdultPeripheralBlood_B cell]. If the network above is too complicated. the users could obtain the association information from the table at bottom. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.
Trait Name | Trait Full Name | Panel | Author | Year | Cases* | Controls | TAG Set Threshold |
CSEA p (chi2) |
---|---|---|---|---|---|---|---|---|
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 3.08e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 1.14e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-2 | 8.80e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 1.93e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 1.60e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 5.29e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 6.22e-5 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 8.30e-6 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 1.76e-4 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 3.41e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-2 | 3.50e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 9.99e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 1.53e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 3.14e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-4 | 1.95e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-5 | 5.64e-4 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 1.00e-2 | 3.14e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 1.56e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 1.39e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 7.06e-6 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 7.70e-6 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 5.80e-6 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 7.90e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 4.79e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 1.89e-5 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 5.40e-6 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 6.86e-6 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 1.71e-2 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-4 | 3.58e-3 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-5 | 3.82e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 7.72e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 9.10e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 1.71e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 3.13e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 2.13e-5 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-2 | 4.41e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-3 | 4.95e-3 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-5 | 1.67e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 5.00e-2 | 3.10e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 1.25e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-3 | 9.55e-3 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-4 | 4.18e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 4.59e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 3.38e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 5.87e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 1.55e-3 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 5.00e-2 | 2.22e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 4.14e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-4 | 3.72e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 4.77e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 4.64e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 4.42e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 4.62e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-5 | 2.03e-2 |
Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 5.00e-2 | 2.30e-2 |
Aortic Valve Calcification | Mitral Annular Calcification | MTC | Thanassoulis | 2013 | NA | 3795 | 1.00e-3 | 2.58e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 1.56e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-4 | 1.38e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.29e-3 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 6.02e-3 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.86e-3 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.75e-3 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 7.50e-4 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.80e-4 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 5.00e-2 | 4.35e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 6.16e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 8.40e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-4 | 3.32e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 4.55e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 8.37e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 6.08e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 1.30e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-5 | 2.95e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.88e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 2.94e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 2.98e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 2.89e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 7.81e-4 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 4.11e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 6.07e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.11e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 6.24e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 1.28e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.56e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 4.06e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 3.80e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 9.37e-3 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.01e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 6.96e-4 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 2.39e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 5.10e-3 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 6.22e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.79e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 8.22e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 2.95e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.52e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 5.68e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 3.76e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-4 | 4.29e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 1.87e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 9.60e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 3.89e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7432 | 1.00e-2 | 5.66e-3 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.46e-2 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.87e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.10e-3 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.90e-2 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.45e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 1.00e-2 | 1.77e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 6.49e-3 |
Glucose Stimulated Insulin Secretion | AUC Insulin Over AUC Glucose | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 2.23e-2 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.15e-3 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.58e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.71e-3 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.38e-2 |
Glucose Stimulated Insulin Secretion | Incremental Insulin At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.34e-3 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 5.19e-4 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.07e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.81e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes Corrected For BMI | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 4.78e-5 |
Glycemic Traits | HOMA IR | MTC | Dupuis | 2010 | NA | 37037 | 1.00e-2 | 9.55e-3 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-2 | 4.45e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-3 | 2.35e-4 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-4 | 2.02e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 9.69e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 4.47e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 1.79e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 9.80e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 1.76e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 4.51e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 3.88e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 8.04e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 3.76e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 1.47e-3 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 3.61e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 2.70e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 3.65e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-3 | 1.22e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.89e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.04e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 8.21e-6 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.03e-5 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.54e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.15e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.65e-4 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 6.08e-5 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 2.40e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 3.35e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 2.61e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 2.89e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 1.40e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 8.63e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 3.89e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 3.44e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 3.70e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 1.24e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 7.91e-4 |
Statin Efficacy | Delta HDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 6.57e-3 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 3.17e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 2.72e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 9.97e-3 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-5 | 1.15e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 7.69e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 6.12e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 5.60e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 8.39e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 7.94e-6 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 4.98e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.48e-3 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 1.27e-3 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 5.01e-4 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 4.22e-4 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.05e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 1.23e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 2.67e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 5.25e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 2.02e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 2.29e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 1.28e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 2.05e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 4.65e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 6.49e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 1.48e-7 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 8.10e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 6.09e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 1.94e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 1.88e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 2.20e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 2.09e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 5.85e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 2.20e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 1.36e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 1.33e-4 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-5 | 3.87e-2 |
Facial attractiveness | Facial attractiveness of females, female raters | ETC | Hu | 2019 | NA | 2062 | 5.00e-2 | 4.45e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 1.70e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 1.59e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 3.73e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 1.02e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 2.57e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 1.85e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.03e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-5 | 4.30e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 4.69e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 2.36e-4 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 1.01e-5 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 8.04e-5 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 9.16e-4 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 3.31e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 1.06e-5 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 3.14e-5 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 5.01e-5 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-5 | 3.97e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-3 | 3.72e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 1.00e-5 | 4.80e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-3 | 3.49e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 3.42e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-4 | 2.45e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-5 | 5.08e-3 |
Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-5 | 2.97e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 3.32e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 1.90e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 4.14e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 5.86e-4 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 1.97e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 4.32e-2 |
Heart failure | Heart failure | ETC | Aragam | 2018 | 6504 | 387652 | 1.00e-2 | 2.51e-2 |
Heart failure | Heart failure | ETC | Aragam | 2018 | 6504 | 387652 | 1.00e-3 | 2.97e-4 |
Brain volume | Dentate gyrus molecular layer volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.41e-2 |
Subiculum volume | Subiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.59e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.41e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-3 | 4.44e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-4 | 2.64e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-2 | 2.02e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-3 | 7.91e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-4 | 9.12e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 4.44e-3 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-3 | 4.65e-2 |
Medication use | Medication use (HMG CoA reductase inhibitors) | ETC | Wu Y | 2019 | 73,475 | 216,910 | 1.00e-4 | 3.96e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 5.00e-2 | 1.73e-5 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.10e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 1.11e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 4.63e-5 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 2.54e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 9.60e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 2.66e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 1.15e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 5.32e-6 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 2.58e-6 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 5.00e-2 | 8.80e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 6.21e-4 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-3 | 2.84e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-4 | 1.06e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-5 | 4.05e-5 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 5.00e-2 | 4.21e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 1.73e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 5.00e-2 | 4.39e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-2 | 3.13e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-3 | 2.44e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-3 | 2.49e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 1.00e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 9.45e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 3.45e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 2.45e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 3.64e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 9.15e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 2.90e-6 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 1.08e-6 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 1.05e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 4.83e-4 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 2.48e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-3 | 1.30e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-4 | 9.51e-3 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-5 | 1.38e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 4.02e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 4.63e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 4.86e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 6.28e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 4.25e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 2.38e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 2.98e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 1.67e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 1.60e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 1.52e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 1.82e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 4.66e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 4.12e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-3 | 4.69e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-2 | 4.56e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-3 | 4.54e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-5 | 4.44e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-3 | 1.63e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 4.65e-4 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 1.67e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 5.00e-2 | 3.99e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 2.60e-4 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-3 | 1.64e-4 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-4 | 2.05e-4 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-5 | 1.29e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 3.29e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-3 | 7.91e-4 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-4 | 3.80e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-5 | 4.13e-3 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 5.00e-2 | 4.17e-2 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 1.00e-2 | 1.03e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 1.44e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 1.68e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 1.30e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-2 | 2.03e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 5.00e-2 | 1.91e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-2 | 2.77e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-3 | 8.53e-5 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 2.03e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 1.61e-4 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 7.88e-7 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 1.94e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-5 | 1.32e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 5.00e-2 | 4.49e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 4.40e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 7.58e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 1.56e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-5 | 5.12e-7 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 5.46e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 3.86e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 1.68e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 7.17e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 2.24e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.24e-4 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 3.65e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-4 | 4.37e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-5 | 3.22e-3 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 1.03e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 4.09e-2 |
Left ventricular | Left ventricular ejection fraction | ETC | Aung N | 2019 | NA | 16,923 | 1.00e-2 | 7.55e-3 |
Left ventricular | Left ventricular ejection fraction | ETC | Aung N | 2019 | NA | 16,923 | 1.00e-3 | 1.92e-3 |
Left ventricular | Left ventricular mass | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 9.51e-3 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 8.90e-3 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 4.79e-2 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 1.00e-2 | 4.82e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.57e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 6.89e-3 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 5.00e-2 | 2.23e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-2 | 1.50e-5 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-3 | 4.77e-5 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-3 | 3.87e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-4 | 1.45e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-3 | 1.50e-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.