Cell type-associated traits map for the [AdultEsophagus_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 [AdultEsophagus_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 | 5.76e-4 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 4.52e-4 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 9.54e-4 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 4.27e-4 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 3.18e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 3.68e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 3.89e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 1.11e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 1.76e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 1.50e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 1.91e-2 |
Breast Cancer | Breast Cancer | MTC | Hunter | 2007 | NA | 1145 | 5.00e-2 | 8.97e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.30e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 7.87e-6 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 3.06e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 2.33e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 5.62e-4 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 5.00e-2 | 1.97e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 4.85e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 5.00e-2 | 1.20e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 4.60e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-3 | 4.19e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 1.14e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 7.17e-4 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 3.14e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 5.81e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 1.19e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 5.63e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 8.20e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 4.76e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 8.50e-9 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 1.02e-7 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 4.35e-9 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 1.86e-5 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 5.25e-4 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-2 | 8.75e-3 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-3 | 4.80e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 1.53e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.51e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 6.87e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 4.19e-3 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-3 | 2.10e-3 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 5.00e-2 | 4.36e-2 |
Anthropometrics Sex Stratified | Height Men | MTC | Randall | 2013 | NA | 60856 | 5.00e-2 | 8.85e-3 |
Anthropometrics Sex Stratified | Height Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-4 | 4.18e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 7.41e-3 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 3.25e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-2 | 3.36e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-2 | 1.85e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-3 | 8.28e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 5.20e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 2.51e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 5.00e-2 | 2.38e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 9.26e-3 |
Blood Cells | Eosinophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.65e-2 |
Blood Cells | Eosinophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 7.14e-3 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 6.35e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.07e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.08e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.45e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 2.52e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 1.97e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-3 | 4.21e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 2.94e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 8.18e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 3.81e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 3.85e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.69e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 3.55e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-2 | 4.66e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.53e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.80e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 3.81e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 5.00e-2 | 2.67e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-3 | 1.65e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 2.12e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 5.00e-2 | 4.76e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 7324 | 1.00e-3 | 4.37e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 5.36e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-3 | 1.35e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 1.58e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 1.45e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 5.00e-2 | 1.23e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.14e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.21e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.14e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.94e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.03e-2 |
Facial Shape | Mod17 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.02e-2 |
Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.85e-2 |
Facial Shape | Mod27 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.02e-2 |
Facial Shape | Mod29 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.33e-2 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.35e-3 |
Facial Shape | Mod54 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.23e-2 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 7.34e-3 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.46e-2 |
Facial Shape | Mod63 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.95e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.62e-3 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.90e-2 |
Forced Expiratory Volume | Forced Expiratory Volume Over Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 2.33e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-3 | 4.81e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-5 | 3.40e-2 |
Glucose Stimulated Insulin Secretion | Incremental Insulin At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 2.13e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.24e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 2.58e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 5.00e-2 | 4.46e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-2 | 3.12e-2 |
Glycemic Traits BMI Corrected | Fasting Insulin Interaction With BMI | MTC | Manning | 2012 | NA | 51750 | 1.00e-3 | 3.40e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 3.55e-6 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 1.74e-4 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 5.42e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 1.06e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 1.02e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 5.51e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 5.09e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 1.68e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 2.80e-3 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 3.17e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 1.24e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 2.51e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 6.62e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 1.12e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 2.02e-2 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 1.00e-2 | 2.04e-2 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 7.13e-3 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 1.00e-2 | 1.17e-2 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 1.00e-3 | 3.87e-2 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 1.48e-2 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 1.00e-2 | 4.81e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 4.04e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-3 | 1.08e-2 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.03e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.10e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.55e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 6.93e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.69e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 1.05e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 3.11e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.26e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.82e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.68e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.11e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 4.38e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 4.63e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.50e-2 |
Personality Big5 | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-3 | 9.97e-3 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 5.93e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 5.26e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 2.80e-9 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 5.87e-8 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 6.46e-6 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 1.68e-6 |
Shoulder Dislocation | Shoulder Dislocation, European Or Latino | MTC | Kim | 2017 | 662 | 82602 | 5.00e-2 | 4.76e-2 |
Sleep Duration | Average Sleep Duration | MTC | Jones | 2016 | NA | 127573 | 1.00e-4 | 2.50e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 2.13e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 2.95e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 4.92e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 9.55e-3 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 4.43e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.94e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 1.86e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 1.21e-3 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 6.25e-3 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 3.02e-2 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 5.00e-2 | 1.84e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 2.27e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 1.60e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 9.01e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 4.08e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 4.29e-5 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 1.00e-3 | 3.03e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 2.80e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 7.55e-7 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 5.97e-4 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 3.05e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 3.90e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 3.67e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 3.29e-7 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 1.31e-7 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 4.40e-7 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 1.99e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 1.85e-6 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 1.10e-6 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 2.99e-8 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 4.71e-9 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 4.67e-6 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 2.84e-5 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 5.00e-2 | 1.67e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 6.45e-7 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 4.81e-9 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 3.37e-11 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 3.78e-10 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 9.34e-10 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 3.73e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 5.38e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-3 | 4.15e-5 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 7.17e-4 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-5 | 3.25e-3 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 5.00e-2 | 2.37e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-2 | 1.54e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 5.00e-2 | 1.95e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 9.83e-3 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-3 | 2.24e-2 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 1.00e-2 | 4.90e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 4.71e-6 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 1.34e-5 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 1.80e-5 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 1.03e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 1.73e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 2.47e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 1.62e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.51e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 8.74e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 3.93e-5 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-3 | 3.77e-2 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-3 | 2.06e-2 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-4 | 8.26e-3 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 1.00e-5 | 1.69e-2 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-3 | 4.15e-2 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-4 | 1.41e-2 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 1.00e-5 | 3.04e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 3.75e-6 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 7.99e-6 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 1.30e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 2.33e-4 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 5.13e-4 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 5.97e-4 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-2 | 1.16e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 2.95e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-5 | 4.80e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 4.21e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 1.00e-3 | 3.49e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 5.00e-2 | 2.40e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-2 | 1.47e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 8.73e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-3 | 3.19e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 9.06e-4 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 1.04e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 4.32e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 4.39e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 2.77e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 1.84e-3 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.84e-3 |
Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.92e-3 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 3.69e-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 | 4.47e-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 | 3.11e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-3 | 3.72e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-4 | 1.16e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 2.22e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 1.00e-2 | 4.94e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 5.00e-2 | 5.34e-12 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 3.28e-15 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 4.16e-12 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 3.45e-13 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 3.60e-12 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 2.56e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 6.12e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 2.66e-6 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 1.38e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 1.06e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 1.48e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-4 | 3.19e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 2.39e-2 |
Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 9.21e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 1.45e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 1.30e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 2.40e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 8.37e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 5.85e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 1.77e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 6.03e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 6.02e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 4.86e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 3.33e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 4.27e-4 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 3.48e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-2 | 4.82e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-4 | 2.14e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 4.26e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 6.43e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 3.05e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.52e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 7,834 | 15,258 | 5.00e-2 | 1.98e-3 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 7,834 | 15,258 | 1.00e-2 | 1.43e-3 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 9,844 | 20,403 | 5.00e-2 | 5.09e-3 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-3 | 1.76e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 1.00e-4 | 2.56e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-3 | 2.73e-2 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-3 | 8.95e-3 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-4 | 9.64e-3 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-5 | 2.47e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 5.00e-2 | 5.99e-5 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 2.15e-7 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 3.78e-6 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 6.34e-6 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 8.48e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 3.88e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 4.13e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 2.01e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 8.30e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 1.14e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 1.24e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 3.00e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-4 | 5.29e-3 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-3 | 2.78e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 2.04e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-3 | 2.74e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-4 | 1.92e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-5 | 7.13e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 5.00e-2 | 1.32e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-3 | 5.28e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 2.39e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 5.00e-2 | 3.45e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 1.22e-3 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 4.14e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 2.83e-3 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 3.67e-2 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 1.00e-2 | 2.56e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 5.53e-4 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 6.48e-5 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 2.99e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 4.16e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 5.00e-2 | 1.28e-3 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 1.00e-2 | 1.40e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 1.00e-3 | 1.92e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 5.00e-2 | 1.52e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-3 | 4.79e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 5.00e-2 | 4.22e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 4.67e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 2.71e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 1.75e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 2.28e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 6.41e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 6.10e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.50e-3 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 2.59e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 2.24e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 1.43e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-5 | 1.53e-2 |
Temporale grey matter volume | Right planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,039 | 1.00e-4 | 4.63e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 1.77e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.74e-4 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.42e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 4.87e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.28e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 5.00e-2 | 2.95e-2 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 5.00e-2 | 1.17e-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 | 4.37e-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.