Cell type-associated traits map for the [AdultCervix_Endothelial 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 [AdultCervix_Endothelial 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) |
---|---|---|---|---|---|---|---|---|
2 Hour Glucose | 2-Hour Glucose | ETC | Saxena | 2010 | NA | 15234 | 5.00e-2 | 3.79e-2 |
2 Hour Glucose | 2-Hour Glucose | ETC | Saxena | 2010 | NA | 15234 | 1.00e-2 | 2.09e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 8.86e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 4.64e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-2 | 3.92e-2 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-3 | 8.13e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 1.87e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 5.00e-2 | 7.80e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 9.58e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-4 | 1.55e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-5 | 1.90e-2 |
Amyotrophic Lateral Sclerosis | Amyotrophic Lateral Sclerosis | MTC | van-Rheenen | 2016 | 12577 | 23475 | 5.00e-2 | 2.45e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 6.72e-3 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 8.96e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 4.35e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-4 | 2.08e-4 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 1.99e-4 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 5.00e-2 | 3.64e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-2 | 3.04e-3 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-3 | 1.71e-5 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-4 | 1.26e-4 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 8.17e-5 |
Blood Pressure | Blood Pressure | MTC | Ehret | 2011 | NA | 69395 | 1.00e-4 | 3.31e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 7.08e-4 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-2 | 3.59e-4 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 2.41e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 5.00e-2 | 6.08e-4 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-2 | 3.46e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 1.91e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 5.11e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 5.52e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 3.98e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 3.35e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 2.20e-4 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 6.17e-4 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 2.29e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 1.00e-3 | 2.28e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 3.81e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 2.38e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 3.30e-7 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 3.34e-7 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 3.12e-7 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-4 | 3.57e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-4 | 1.16e-2 |
Partial Epilepsy | Partial Epilepsy | MTC | Kasperaviciute | 2010 | 3445 | 6935 | 1.00e-2 | 1.83e-2 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 3.68e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 3.58e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 1.99e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 4.57e-5 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 2.28e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 5.00e-2 | 3.36e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-2 | 8.19e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 1.64e-5 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 2.67e-5 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 9.44e-6 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-5 | 2.76e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 6.69e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 5.02e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.78e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 9.42e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 1.90e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 7.06e-3 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-4 | 2.36e-2 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-2 | 2.18e-2 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-3 | 2.57e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 5.00e-2 | 3.07e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 1.00e-2 | 1.09e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 6.48e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.05e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.69e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.25e-2 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 9.67e-4 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.64e-3 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.24e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.27e-3 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 4.59e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 5.00e-2 | 3.05e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.27e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.32e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.02e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.30e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.92e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 3.91e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 4.79e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.08e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 8.27e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 2.95e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 5.31e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.36e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 1.76e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 1.49e-2 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 1.00e-2 | 6.41e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 4.99e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 3.18e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 4.57e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 1.54e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.06e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 4.38e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-3 | 1.22e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 4.60e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 4.77e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 1.53e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 2.30e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 4.26e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 5.00e-2 | 3.01e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 1.22e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 3.29e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 3.40e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-3 | 1.72e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 2.56e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 1.00e-2 | 1.06e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.13e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.78e-2 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.65e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.22e-3 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 7.88e-3 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 8.13e-3 |
Facial Shape | Mod54 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.29e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 1.00e-3 | 2.21e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 5.00e-2 | 3.11e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 1.00e-2 | 9.66e-3 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 1.00e-2 | 2.01e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 5.00e-2 | 1.36e-2 |
Glucose Stimulated Insulin Secretion | Corrected Insulin Response | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 4.68e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 6.62e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 3.31e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 8.32e-4 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 6.39e-3 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 4.42e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 4.13e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 2.05e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 1.35e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 3.15e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 1.17e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 4.86e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 3.02e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 4.91e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 1.35e-2 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 1.76e-3 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 5.00e-2 | 4.06e-2 |
Kidney Function | Rapid Decline Without Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 9.61e-3 |
Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 3.07e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 3.06e-3 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 1.50e-2 |
Loneliness | Case Control | MTC | Gao | 2017 | 1632 | 3164 | 5.00e-2 | 1.87e-2 |
Loneliness | Case Control | MTC | Gao | 2017 | 1632 | 3164 | 1.00e-2 | 8.54e-3 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 5.00e-2 | 1.35e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 2.32e-3 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.01e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.53e-4 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 1.18e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 4.77e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.68e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 6.54e-5 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.77e-7 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 2.80e-5 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 9.80e-4 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.51e-8 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.26e-6 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 3.40e-6 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 5.60e-4 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.94e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 7.05e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.38e-3 |
Personality Big5 | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 4.65e-3 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-2 | 7.73e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 3.59e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 2.59e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 1.10e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 1.03e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 2.38e-5 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 3.79e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 1.00e-2 | 4.78e-2 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 5.00e-2 | 5.35e-3 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-2 | 2.95e-2 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-3 | 5.91e-3 |
Social Deprivation | Household Income One Person Per Household | MTC | Hill | 2016 | NA | 112005 | 1.00e-5 | 3.39e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-2 | 3.64e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 9.73e-3 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.24e-3 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.39e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-3 | 2.69e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-4 | 1.63e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.58e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 2.93e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 4.89e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 6.77e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 6.69e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 4.01e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 8.66e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 2.11e-5 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 3.13e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 3.00e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 1.34e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 1.57e-2 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 2.31e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 6.31e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 7.80e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 2.43e-3 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 5.94e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 1.61e-5 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 5.00e-2 | 1.12e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 3.38e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 3.28e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 3.83e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 4.24e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 8.98e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 3.62e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 1.82e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 2.53e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 1.68e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 2.63e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 1.43e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 3.74e-5 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 8.97e-5 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 7.60e-3 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 5.75e-3 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 2.29e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 5.00e-2 | 9.43e-3 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 7.38e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 2.11e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 7.09e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 2.30e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 5.28e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 8.60e-3 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 8.01e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.35e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 5.41e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 7.53e-4 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-2 | 4.18e-2 |
Na/K ratio | Urinary sodium to potassium ratio | ETC | Zanetti | 2019 | NA | 108942 | 1.00e-3 | 1.05e-2 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 5.00e-2 | 4.46e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 3.50e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 3.83e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 3.42e-5 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 1.35e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 2.94e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 1.03e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 1.30e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 8.21e-4 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 1.00e-2 | 1.14e-2 |
Postburn scar height | Postburn scar height | ETC | Wallace | 2018 | NA | 665 | 5.00e-2 | 6.46e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-2 | 3.04e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 5.72e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 2.62e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 4.79e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 1.00e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-5 | 2.38e-3 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.46e-2 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.29e-2 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.28e-3 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.29e-2 |
Hippocampal volume | Hippocampal subfield CA4 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.86e-2 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.64e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 4.29e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.18e-2 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 5.00e-2 | 4.83e-2 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 1.00e-2 | 1.52e-2 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-2 | 9.85e-3 |
Medication use | Medication use (drugs used in diabetes) | ETC | Wu Y | 2019 | 15,272 | 290,641 | 1.00e-5 | 1.23e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 5.00e-2 | 1.29e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 5.00e-2 | 1.72e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 5.00e-2 | 5.33e-3 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 5.00e-2 | 2.52e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-3 | 1.94e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-4 | 1.00e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 5.00e-2 | 5.15e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 9.04e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 3.81e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 2.79e-3 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 2.38e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 2.15e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 1.32e-7 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 5.88e-7 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 1.99e-6 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 1.59e-7 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 7.89e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-3 | 1.89e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-3 | 1.81e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 2.45e-3 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-4 | 9.07e-4 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 8.51e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.19e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 1.32e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 3.13e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 9.96e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 9.38e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 5.45e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 6.12e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 9.26e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 3.24e-5 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 1.49e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 2.46e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 1.35e-2 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 3.55e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 8.46e-7 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 4.32e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 5.00e-2 | 2.68e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.79e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 1.00e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 3.61e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 1.57e-2 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 3.79e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 7.79e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 4.47e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-3 | 3.43e-2 |
Knee pain | Knee pain | ETC | Meng W | 2019 | 22,204 | 149,312 | 1.00e-3 | 2.29e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 3.66e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 6.04e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 3.82e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 4.90e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 3.76e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 4.20e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-3 | 1.29e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 3.71e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 3.73e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 3.29e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 3.95e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 2.04e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-4 | 2.07e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-5 | 4.79e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 1.66e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 1.60e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 2.22e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 1.00e-2 | 6.54e-3 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-3 | 1.31e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-4 | 4.77e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-3 | 4.48e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 4.40e-3 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 2.28e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-3 | 1.73e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 7.92e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 7.37e-5 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 1.08e-4 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 4.05e-4 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-5 | 8.44e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 6.16e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 1.22e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 5.75e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 4.64e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 3.63e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.93e-8 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 1.00e-2 | 4.43e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 5.00e-2 | 1.83e-2 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 1.03e-3 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 1.00e-3 | 1.43e-2 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 1.00e-4 | 2.68e-3 |
Household income | Household income | ETC | Hill WD | 2019 | NA | 286,301 | 1.00e-5 | 1.36e-3 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-5 | 4.56e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.13e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.76e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 5.00e-2 | 4.02e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-2 | 4.81e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 2.59e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 4.43e-3 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 2.89e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-3 | 6.86e-3 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-4 | 9.66e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 1.89e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 5.00e-2 | 8.71e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-3 | 1.80e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-4 | 2.22e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 1.29e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 2.81e-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.