Cell type-associated traits map for the [Madissoon_2020_lung_T CD4][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 [Madissoon_2020_lung_T CD4]. If the network above is too complicated. the users could obtain the association information from the table at bottom. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.
Trait Name | Trait Full Name | Panel | Author | Year | Cases* | Controls | TAG Set Threshold |
CSEA p (chi2) |
---|---|---|---|---|---|---|---|---|
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 5.00e-2 | 8.02e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 5.00e-2 | 6.92e-9 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 7.09e-10 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 8.98e-9 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 1.39e-8 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 2.97e-6 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Duncan | 2017 | 3495 | 10982 | 1.00e-2 | 1.99e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 3.94e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 9.26e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 5.67e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 7.87e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 9.13e-3 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-2 | 3.58e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-3 | 2.24e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-4 | 2.50e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.57e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 2.93e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 4.74e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 1.68e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 1.57e-4 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 3.35e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 4.45e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 1.07e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 3.15e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 3.78e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 7.60e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 6.92e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 6.17e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 2.47e-5 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 5.83e-7 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 1.87e-7 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 2.19e-6 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 1.97e-4 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 3.79e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 1.70e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 4.84e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 1.10e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 6.18e-3 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 5.00e-2 | 4.75e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 5.00e-2 | 2.87e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 5.00e-2 | 1.32e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-2 | 2.93e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-3 | 2.60e-4 |
Anthropometrics Sex Stratified | Hip Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-4 | 3.96e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 2.81e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 1.39e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-5 | 1.05e-2 |
Blood Cells | Eosinophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.11e-2 |
Blood Cells | Eosinophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.06e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 5.64e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.01e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 1.91e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 3.85e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.79e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.52e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.47e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 2.13e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 9.61e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 3.28e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-4 | 3.35e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 8.10e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 1.91e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 2.64e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.39e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 2.71e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 8.57e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 4.38e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.50e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 3.09e-2 |
BMI Physical Activity Interaction | BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.97e-2 |
BMI Physical Activity Interaction | BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 9.80e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.70e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 1.95e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 8.34e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7381 | 5.00e-2 | 2.30e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-3 | 2.72e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-4 | 3.86e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine African Americans Only | MTC | Pattaro | 2016 | NA | 133413 | 5.00e-2 | 1.11e-2 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.17e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.34e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.35e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.99e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 8.11e-3 |
Facial Shape | Mod21 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 8.46e-3 |
Facial Shape | Mod25 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.36e-2 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.45e-2 |
Facial Shape | Mod50 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 7.12e-3 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.70e-2 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.77e-3 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.23e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.94e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 9.83e-4 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 5.00e-2 | 3.54e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-3 | 2.58e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 5.20e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 4.10e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 4.94e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 1.87e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 5.50e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 1.44e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 6.43e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 7.74e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 2.32e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 4.51e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 5.26e-5 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 6.47e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 7.20e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 8.13e-3 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 4.51e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 3.77e-3 |
Kidney Function | eGFR Decline | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 2.56e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 2.07e-2 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.32e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 5.15e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 8.89e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.58e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 4.42e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 4.87e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.33e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.80e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 9.21e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 2.60e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.60e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 3.52e-2 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.88e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 1.55e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 1.19e-7 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 1.07e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 1.80e-9 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 5.57e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 1.52e-10 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 1.00e-4 | 3.57e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 1.52e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 2.88e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 1.03e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 3.03e-6 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 2.65e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 3.48e-6 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 4.65e-6 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 1.36e-5 |
PAN | Pancreatic Cancer | ETC | Amundadottir | 2009 | 1771 | 1805 | 1.00e-3 | 4.08e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 4.84e-5 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 1.46e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 3.16e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 4.70e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 7.99e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 2.72e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 7.40e-7 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 8.71e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 3.68e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 1.24e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 1.77e-5 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 4.89e-9 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 4.10e-8 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 3.62e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 5.67e-6 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 5.00e-2 | 2.72e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 9.95e-10 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 1.99e-12 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 2.06e-12 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 1.82e-8 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 2.79e-9 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 4.66e-6 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 1.00e-6 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-3 | 3.39e-8 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 5.09e-5 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 3.90e-4 |
Glycine level | Glycine levels, both male and female | ETC | Jia | 2019 | NA | 30118 | 5.00e-2 | 3.49e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-2 | 4.56e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-4 | 4.62e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 5.00e-2 | 7.87e-4 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 5.00e-2 | 1.93e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 2.27e-9 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 6.03e-10 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 9.50e-7 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 5.53e-5 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 3.86e-6 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 7.23e-8 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 6.83e-7 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 1.07e-7 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.42e-8 |
Glycine level | Glycine level | ETC | Wittemans | 2019 | NA | 80003 | 1.00e-3 | 9.29e-3 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-2 | 4.01e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 3.22e-7 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 4.79e-9 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 5.66e-6 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 1.50e-5 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 1.04e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 1.13e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 3.24e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 2.24e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 1.30e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 1.56e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 1.13e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-2 | 3.52e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-3 | 9.01e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-4 | 4.90e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 7.08e-5 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 9.44e-6 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 6.39e-7 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 6.43e-5 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 4.16e-4 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.82e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.42e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.45e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 3.23e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 4.97e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.98e-17 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 3.47e-16 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 2.37e-15 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 2.69e-16 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 1.29e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 6.29e-6 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 3.24e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 9.41e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 1.13e-3 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 4.92e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 6.39e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 4.58e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 6.20e-6 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 1.25e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 1.40e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 3.78e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 1.18e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 3.32e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 2.62e-6 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 4.36e-6 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 1.01e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 5.59e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 3.30e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 4.79e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 1.00e-2 | 4.95e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT3) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 6.24e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 1.23e-6 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 2.45e-8 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 5.42e-9 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 2.10e-9 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 1.63e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 5.68e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 1.01e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 4.46e-6 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 4.57e-7 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 3.70e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 3.17e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 2.74e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-4 | 6.69e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 1.65e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 3.83e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 2.21e-5 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 7.53e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 1.55e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 4.90e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 5.00e-2 | 2.50e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-2 | 3.90e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 8.23e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 1.39e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 1.54e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 1.25e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 4.06e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 4.16e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 4.89e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.64e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.13e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.58e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.00e-2 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 5.00e-2 | 4.98e-3 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 1.00e-3 | 3.96e-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.