Cell type-associated traits map for the [FetalAdrenalGland_T 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 [FetalAdrenalGland_T 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 | 5.00e-2 | 4.32e-6 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 1.49e-6 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 1.14e-6 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 3.07e-6 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 1.46e-5 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 2.01e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 3.74e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 4.79e-5 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 6.33e-5 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 1.62e-4 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-2 | 2.64e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-3 | 1.33e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-3 | 3.30e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 5.00e-2 | 8.53e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.30e-6 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 6.45e-6 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 5.68e-6 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 1.48e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 3.76e-4 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 5.00e-2 | 2.93e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 2.49e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 2.93e-4 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 3.45e-5 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 1.89e-5 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-5 | 1.89e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 2.05e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 2.82e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 4.75e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 5.25e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 5.15e-4 |
Red Blood Cell Distribution Width | Red Blood Cell Distribution Width | MTC | Pilling | 2017 | NA | 116666 | 1.00e-3 | 4.42e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 1.64e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 2.97e-5 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 4.26e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 2.36e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 3.96e-8 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 1.65e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.36e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 2.94e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 5.44e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 1.83e-3 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 5.00e-2 | 3.91e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 5.00e-2 | 4.83e-2 |
Anthropometrics Sex Stratified | Hip Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-2 | 1.56e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 3.84e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-2 | 1.12e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-2 | 2.97e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 2.48e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 1.96e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-5 | 8.30e-3 |
Aortic Valve Calcification | Aortic Valve Calcification | MTC | Thanassoulis | 2013 | NA | 6942 | 1.00e-2 | 4.82e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.46e-5 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 6.23e-6 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.07e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-4 | 7.45e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-5 | 1.20e-3 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.03e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.82e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 8.66e-3 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 3.38e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.76e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.53e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.38e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 3.05e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 4.09e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 4.58e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.39e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 2.25e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-2 | 9.24e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 3.16e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 2.80e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-2 | 3.76e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-3 | 1.06e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-5 | 4.37e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-3 | 6.19e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 1.92e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 5.00e-2 | 9.57e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-2 | 4.20e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.49e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 9.01e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 5.79e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 3.75e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7381 | 5.00e-2 | 1.19e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 2.64e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-3 | 1.17e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-4 | 2.98e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 6.39e-3 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 1.26e-2 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 8.03e-3 |
Forced Expiratory Volume | Forced Expiratory Volume Over Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-4 | 1.44e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-3 | 1.35e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 5.00e-2 | 7.96e-3 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-2 | 3.50e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 1.27e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 2.27e-4 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 1.51e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 7.17e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 2.02e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 7.58e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 1.00e-4 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 1.33e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 7.88e-6 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 4.26e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 9.35e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 3.68e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 3.23e-7 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 6.18e-4 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 1.00e-2 | 1.54e-2 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 1.26e-2 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 1.70e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 4.10e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 1.00e-4 | 3.87e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.84e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 3.71e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.46e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.03e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 1.07e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.69e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 4.36e-2 |
Lymphocyte Subsets | CD56 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 5.94e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.15e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 1.79e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 7.29e-4 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 2.30e-4 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 1.90e-4 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-3 | 2.38e-2 |
Personality Big5 | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 2.46e-2 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 1.05e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.71e-2 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-2 | 2.54e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 4.50e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 9.97e-6 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 7.17e-7 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 2.19e-6 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 2.51e-8 |
Circadian Rhythm | Sleep Chronotype | MTC | Jones | 2016 | NA | 127898 | 1.00e-2 | 2.60e-2 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 1.00e-2 | 1.12e-2 |
Smoking | Current Vs Former Discrete | MTC | Furberg | 2010 | 20619 | 15226 | 1.00e-2 | 4.86e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-4 | 1.56e-2 |
Statin Efficacy | Delta HDL With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.33e-3 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 3.22e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 2.36e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.33e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 3.49e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 3.03e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 2.63e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 2.87e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.95e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 2.70e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 1.99e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 1.31e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 9.15e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 3.34e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 3.81e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 9.04e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 6.50e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 7.59e-5 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 3.77e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 3.37e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 9.49e-5 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 6.53e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 2.26e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 1.48e-4 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 5.96e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 1.75e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 4.99e-4 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 4.92e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 6.43e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 2.32e-5 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 3.81e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 1.03e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 1.97e-8 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 7.40e-6 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 3.36e-6 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 2.59e-7 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 2.67e-9 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 6.24e-11 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 5.61e-10 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 3.04e-11 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 3.54e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 2.50e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-3 | 8.00e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 2.60e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 1.07e-4 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-2 | 3.63e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-4 | 2.43e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-5 | 2.38e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-3 | 1.96e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 4.02e-2 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 1.00e-2 | 2.55e-2 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 2.02e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 1.38e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 8.77e-7 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 1.58e-6 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 8.09e-6 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 7.49e-8 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 9.46e-9 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 5.52e-7 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.03e-8 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 5.49e-7 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 5.69e-7 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 1.18e-5 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 1.85e-4 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 2.98e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 1.40e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 2.17e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 1.01e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 4.14e-4 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 1.58e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 4.36e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-5 | 2.90e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 1.00e-3 | 4.09e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-3 | 2.48e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-5 | 3.83e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 2.57e-2 |
Postburn scar pliability | Postburn scar pliability | ETC | Wallace | 2018 | NA | 665 | 5.00e-2 | 4.55e-2 |
Postburn scar pliability | Postburn scar pliability | ETC | Wallace | 2018 | NA | 665 | 1.00e-2 | 3.63e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 1.20e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-2 | 3.49e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-3 | 1.68e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 1.19e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 2.95e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 5.14e-4 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 7.00e-5 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 1.27e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 1.41e-2 |
Brain volume | Dentate gyrus granule cell layer volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.23e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.63e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 9.91e-3 |
Parasubiculum volume | Presubiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 6.23e-3 |
HATA volume | Hippocampal amygdala transition area volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.82e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 4.76e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-2 | 2.26e-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 | 3.64e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-5 | 2.60e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-4 | 1.18e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 3.39e-3 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-3 | 4.55e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 5.00e-2 | 3.05e-7 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.87e-10 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 3.26e-11 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 4.69e-10 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 5.54e-9 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 2.00e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 1.36e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 8.57e-7 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 8.48e-7 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 1.74e-6 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 5.00e-2 | 1.01e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-2 | 2.20e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.06e-3 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-4 | 7.72e-3 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-5 | 8.39e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 5.00e-2 | 1.34e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 3.35e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 3.64e-2 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 2.66e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 1.35e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 4.67e-6 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 9.14e-7 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 1.67e-5 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 1.60e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 4.19e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 4.13e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 2.27e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 1.17e-7 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 3.75e-6 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 6.83e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 1.25e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 1.92e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 8.71e-3 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-2 | 1.37e-2 |
Renal cell carcinoma | Renal cell carcinoma male | ETC | Laskar RS | 2019 | 3,227 | 4,916 | 5.00e-2 | 2.32e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 4.62e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT5) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.83e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 1.00e-3 | 3.97e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-4 | 4.12e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-5 | 2.47e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 6.77e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-3 | 4.40e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-4 | 1.91e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 5.00e-2 | 5.35e-5 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 8.80e-6 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 7.13e-8 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 3.11e-9 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 6.30e-8 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 1.16e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 2.77e-7 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 6.56e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 2.61e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 1.39e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 3.95e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 1.80e-4 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 8.20e-4 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-4 | 5.71e-7 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 2.18e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 5.90e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 7.68e-3 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-2 | 4.01e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-3 | 3.34e-5 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 5.00e-2 | 1.43e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-5 | 7.14e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 5.00e-2 | 2.72e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-2 | 2.34e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-3 | 8.21e-4 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 2.54e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 5.00e-2 | 4.32e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 2.93e-4 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-3 | 1.76e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 7.03e-3 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 6.48e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 4.04e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 8.43e-3 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 4.59e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-3 | 2.93e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-4 | 1.07e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-5 | 4.65e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 4.49e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 5.00e-2 | 2.84e-2 |
Birth weight | Birth weight variance | ETC | Wang H | 2019 | NA | 197,758 | 1.00e-3 | 2.90e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 1.34e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 2.75e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 1.63e-4 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 6.32e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-5 | 3.46e-6 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 5.00e-2 | 2.32e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-2 | 8.32e-4 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-3 | 1.82e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 5.00e-2 | 8.86e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 1.67e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 8.32e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 5.36e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-5 | 4.91e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 3.66e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 1.92e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 8.10e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 1.92e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 1.33e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 9.55e-4 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 1.90e-2 |
BMI by age | BMI at 1.5 years old | ETC | Helgeland O | 2019 | NA | 6,800 | 1.00e-3 | 2.97e-2 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 1.00e-2 | 4.63e-2 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 2.95e-3 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 1.00e-2 | 2.48e-3 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 7.93e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 5.00e-2 | 4.35e-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.