Cell type-associated traits map for the [Voigt_2019_retina_1_Macrophage][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 [Voigt_2019_retina_1_Macrophage]. 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 | 3.42e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 3.61e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-3 | 9.69e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 4.03e-4 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 4.35e-5 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 5.00e-2 | 1.69e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-2 | 1.09e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-3 | 4.77e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-4 | 9.64e-4 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 9.02e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 5.00e-2 | 2.34e-3 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-2 | 3.72e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 3.65e-5 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-4 | 8.73e-4 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-5 | 5.81e-4 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Duncan | 2017 | 3495 | 10982 | 5.00e-2 | 2.14e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 1.94e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 3.23e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-5 | 3.61e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 5.00e-2 | 7.03e-3 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-2 | 1.72e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-4 | 4.60e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 3.22e-2 |
Blood Pressure | Blood Pressure | MTC | Ehret | 2011 | NA | 69395 | 1.00e-4 | 2.45e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 8.07e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-4 | 3.99e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 6.08e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 2.61e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-3 | 5.53e-5 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-4 | 8.14e-6 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-5 | 4.24e-4 |
CD | Crohn's disease | MTC | Lee | 2017 | 1762 | 972 | 5.00e-2 | 8.58e-3 |
CD | Crohn's disease | MTC | Lee | 2017 | 1762 | 972 | 1.00e-2 | 1.04e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 5.00e-2 | 4.62e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-2 | 8.02e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-3 | 3.59e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-4 | 4.13e-3 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-5 | 4.43e-3 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 5.00e-2 | 1.81e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 4.01e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 5.00e-2 | 1.48e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 1.00e-2 | 3.53e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 1.00e-3 | 2.25e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-3 | 8.99e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-4 | 1.53e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-5 | 2.97e-4 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 1.12e-2 |
Neuroticism | Neuroticism | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 1.15e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 5.00e-2 | 1.15e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-2 | 1.39e-3 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-3 | 5.45e-4 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-4 | 2.50e-5 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 5.00e-2 | 6.68e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-2 | 4.38e-5 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-3 | 1.93e-3 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-4 | 4.95e-4 |
Primary Sclerosing Cholangitis | Primary Sclerosing Cholangitis | MTC | Ji | 2017 | 2871 | 12019 | 1.00e-5 | 1.06e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-3 | 5.77e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-4 | 1.03e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis | ETC | Stahl | 2010 | 5539 | 20169 | 1.00e-5 | 9.98e-4 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-4 | 2.12e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-5 | 5.87e-4 |
Sleep Duration BMI Adjusted | Sleep Duration BMI Adjusted | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-3 | 4.36e-2 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 5.00e-2 | 4.45e-2 |
Sleep Duration | Sleep Duration | MTC | Marinelli | 2016 | NA | 10554 | 1.00e-3 | 4.36e-2 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 1.00e-4 | 3.71e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 1.34e-4 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 3.24e-5 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-3 | 9.93e-6 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-4 | 1.77e-6 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-5 | 2.94e-5 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-3 | 2.34e-2 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-4 | 2.71e-2 |
Waist Hip Ratio Adjusted For BMI | Waist Hip Ratio Adjusted For BMI | MTC | Heid | 2010 | NA | 77167 | 1.00e-5 | 3.86e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-3 | 4.42e-2 |
Anxiety | Anxiety Dichotomous | MTC | Otowa | 2016 | 7016 | 14745 | 1.00e-2 | 5.12e-3 |
Blood Cells | Eosinophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 9.06e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 4.25e-4 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.12e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-4 | 4.08e-2 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-5 | 4.36e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.09e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.58e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.31e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-4 | 3.40e-2 |
Blood Cells | Neutrophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.87e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 3.79e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 5.00e-2 | 8.69e-3 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-2 | 4.10e-2 |
Blood Lipids | Low Density Lipoprotein | ETC | Teslovich | 2010 | NA | 95454 | 1.00e-4 | 2.07e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 5.00e-2 | 1.03e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-2 | 2.12e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-3 | 3.69e-3 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-4 | 4.52e-2 |
Blood Lipids | Total Cholesterol | ETC | Teslovich | 2010 | NA | 100184 | 1.00e-5 | 1.09e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 5.00e-2 | 1.18e-2 |
Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-4 | 4.90e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.33e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 4.00e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 9.84e-3 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.06e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 4.79e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.11e-2 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 1.96e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.49e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 1.45e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 3.03e-3 |
Blood Lipids | Total Cholesterol GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 2.31e-3 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 4.02e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 5.00e-2 | 4.58e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 4.36e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.33e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.30e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.73e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 3.44e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 3.62e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 3.15e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 1.26e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 8.16e-4 |
Cognitive Functions | Memory | MTC | Davies | 2016 | NA | 112067 | 1.00e-4 | 4.78e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-5 | 4.06e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 3.94e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 5.00e-2 | 6.23e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 3.89e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 2.85e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 2.17e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 5.00e-2 | 2.56e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 1.69e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-3 | 5.09e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 2.34e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 4.99e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 2.32e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 1.14e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 3.60e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease | ETC | Pattaro | 2016 | 12385 | 104780 | 5.00e-2 | 3.93e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine African Americans Only | MTC | Pattaro | 2016 | NA | 133413 | 5.00e-2 | 4.70e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.36e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.66e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.46e-3 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.69e-3 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.50e-2 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.41e-3 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.36e-2 |
Facial Shape | Mod30 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.99e-3 |
Facial Shape | Mod30 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 7.93e-3 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.66e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.66e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 5.33e-3 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 1.00e-3 | 2.97e-2 |
Glucose Stimulated Insulin Secretion | Insulin Response At 30 Minutes | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 4.96e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 5.00e-2 | 6.36e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 9.03e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-3 | 2.10e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-4 | 7.20e-5 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-5 | 2.51e-2 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 5.00e-2 | 4.68e-6 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-2 | 2.64e-7 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-3 | 6.77e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-4 | 2.27e-5 |
Inflammatory Bowel Disease European | Inflammatory Bowel Disease | ETC | Liu | 2015 | 12882 | 21770 | 1.00e-5 | 4.93e-5 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 5.00e-2 | 6.73e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 2.57e-6 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-3 | 2.17e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-4 | 3.48e-4 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-5 | 4.51e-4 |
Insulin Secretion | Acute Insulin Response Adjusted For Insulin Sensitivity | MTC | Wood | 2017 | NA | 2087 | 1.00e-3 | 1.92e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 1.44e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 1.00e-3 | 4.78e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 5.49e-3 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 3.71e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-3 | 3.71e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 1.73e-2 |
Lipoprotein Associated Phospholipase A2 | Lipoprotein Associated Phospholipase A2 (LpPLA2) Activity | MTC | Suchindran | 2010 | NA | 6668 | 1.00e-2 | 2.10e-2 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 3.12e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.76e-2 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.82e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 1.64e-3 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 7.01e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 6.34e-4 |
Lymphocyte Subsets | CD4:CD8 Ratio | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 2.73e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 5.92e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.09e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 8.95e-3 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 7.40e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 2.67e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.90e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 5.59e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-5 | 6.38e-3 |
New Onset Diabetes | New Onset Diabetes After Drugs, European American | MTC | Chang | 2018 | 138 | 414 | 5.00e-2 | 1.46e-2 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 5.00e-2 | 1.71e-3 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-2 | 3.74e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-3 | 7.22e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-4 | 8.21e-4 |
Rheumatoid Arthritis | Rheumatoid Arthritis European | MTC | Okada | 2014 | 14361 | 43923 | 1.00e-5 | 2.20e-3 |
Shoulder Dislocation | Shoulder Dislocation, European Or Latino | MTC | Kim | 2017 | 662 | 82602 | 5.00e-2 | 1.72e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 2.37e-2 |
Social Deprivation | Household Income One Person Per Household | MTC | Hill | 2016 | NA | 112005 | 5.00e-2 | 2.14e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-3 | 2.95e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 1.00e-4 | 1.78e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.15e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-3 | 3.01e-2 |
Type 2 Diabetes | Type 2 Diabetes BMI Adjusted | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-4 | 1.32e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 8.11e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 9.03e-5 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 5.23e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 1.92e-3 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 3.15e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 1.55e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 1.80e-3 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 8.75e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-4 | 1.04e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 1.29e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 4.74e-6 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-2 | 2.91e-4 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-3 | 1.21e-5 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-4 | 4.12e-5 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 1.00e-5 | 2.61e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 9.57e-6 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 1.07e-5 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-3 | 7.51e-8 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 6.28e-9 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-5 | 1.17e-8 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 5.00e-2 | 3.24e-5 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-2 | 1.85e-4 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 7.83e-7 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 9.59e-5 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 3.95e-5 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 5.39e-8 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 1.40e-9 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 2.37e-8 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 4.07e-9 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 1.22e-8 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 4.55e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 3.25e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 5.00e-2 | 2.08e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 5.00e-2 | 1.54e-2 |
Facial attractiveness | Facial attractiveness of females, male raters | ETC | Hu | 2019 | NA | 2062 | 5.00e-2 | 6.03e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 3.46e-2 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-2 | 8.48e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-3 | 4.73e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-4 | 2.19e-4 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 1.00e-5 | 8.08e-6 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 8.69e-5 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 1.85e-6 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-3 | 1.06e-6 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-4 | 2.94e-4 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 5.31e-5 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-4 | 1.58e-2 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-5 | 1.21e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-4 | 2.34e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-5 | 3.35e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 1.64e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 4.90e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 5.35e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-5 | 1.47e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 5.00e-2 | 1.04e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-3 | 7.20e-3 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-4 | 1.53e-2 |
Vitiligo | Vitiligo early onset | ETC | Jin | 2019 | 704 | 9031 | 1.00e-5 | 2.15e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-5 | 4.76e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 7.82e-3 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 5.00e-2 | 2.52e-4 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-2 | 1.47e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-4 | 4.70e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 2.54e-3 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 6.60e-3 |
Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.44e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.71e-2 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 5.00e-2 | 4.06e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.39e-5 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 3.86e-6 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 1.35e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 2.16e-3 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 5.00e-2 | 7.05e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-2 | 8.73e-5 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-3 | 2.77e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-4 | 1.18e-4 |
Medication use | Medication use (immunosuppressants) | ETC | Wu Y | 2019 | 3,954 | 268,648 | 1.00e-5 | 5.57e-5 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-2 | 3.20e-2 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-3 | 5.35e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-4 | 7.16e-3 |
Medication use | Medication use (drugs affecting bone structure and mineralization) | ETC | Wu Y | 2019 | 7,870 | 207,798 | 1.00e-5 | 2.10e-3 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 1.00e-5 | 4.79e-2 |
Medication use | Medication use (anilides) | ETC | Wu Y | 2019 | 83,218 | 96,592 | 1.00e-5 | 2.69e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 5.53e-3 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 7.70e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 3.51e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-4 | 3.31e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-5 | 1.12e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 5.00e-2 | 8.57e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-2 | 1.62e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-3 | 1.83e-4 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 9.90e-6 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 6.23e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 5.00e-2 | 5.47e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-2 | 2.12e-5 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-3 | 2.86e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-4 | 1.15e-3 |
Medication use | Medication use (antihistamines for systemic use) | ETC | Wu Y | 2019 | 13,984 | 137,652 | 1.00e-5 | 3.99e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 4.56e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-2 | 1.92e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 3.54e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-3 | 1.88e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 2.10e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 1.67e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 5.00e-2 | 8.29e-3 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 1.00e-2 | 4.50e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 1.00e-2 | 1.38e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-2 | 2.26e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-4 | 1.58e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.88e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-2 | 8.63e-5 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-3 | 1.41e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 3.47e-4 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 2.67e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 5.06e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 5.87e-6 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 4.58e-5 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 3.78e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 1.16e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-4 | 1.91e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-5 | 1.32e-2 |
Joint damage | Joint damage in rheumatoid arthritis | ETC | Traylor M | 2019 | NA | 2,527 | 5.00e-2 | 1.63e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 2.08e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-3 | 3.98e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 4.07e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-3 | 1.20e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-4 | 3.41e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 6.33e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-3 | 3.81e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-4 | 3.70e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 5.00e-2 | 2.55e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-2 | 1.62e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 3.08e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 7.65e-3 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-2 | 1.20e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-3 | 4.53e-3 |
Heel bone mineral Density | Heel bone mineral density variance | ETC | Wang H | 2019 | NA | 197,261 | 5.00e-2 | 4.13e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 5.00e-2 | 1.98e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 3.47e-5 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 1.19e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-4 | 6.61e-6 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-5 | 2.24e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 5.00e-2 | 3.51e-4 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 1.25e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 1.16e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-4 | 2.17e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-5 | 9.42e-6 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 5.00e-2 | 4.84e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 3.08e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-3 | 1.43e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 3.27e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-2 | 8.59e-3 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-3 | 1.16e-5 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 7.43e-4 |
BMI at birth | BMI at birth | ETC | Helgeland O | 2019 | NA | 9,286 | 5.00e-2 | 1.45e-3 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 2.46e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 1.00e-2 | 9.99e-3 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 1.00e-2 | 3.71e-2 |
PD | Parkinson's disease in GBA mutation carriers (age at onset) | ETC | Blauwendraat C | 2020 | NA | 1,353 | 5.00e-2 | 3.82e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 2.63e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-3 | 1.45e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 2.45e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.03e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.51e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 7.51e-3 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 4.86e-3 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.78e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.77e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.77e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.85e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.13e-6 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 6.58e-4 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 1.07e-3 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.79e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.55e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.16e-3 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 1.66e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 4.57e-3 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 6.63e-3 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.74e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 5.91e-3 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.37e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.33e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.53e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 4.62e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 5.00e-2 | 1.85e-2 |
Steroid sensitive nephrotic syndrome | Childhood steroid-sensitive nephrotic syndrome | ETC | Debiec H | 2018 | 132 | 2,000 | 1.00e-3 | 8.44e-3 |
COVID-19 Host Genetics | hospitalized covid vs. not hospitalized covid (EA) | ETC | covid19hg | 2020 | 928 | 2028 | 5.00e-2 | 3.18e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 5.00e-2 | 4.95e-5 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-2 | 4.31e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-3 | 1.54e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-4 | 2.43e-5 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 1.06e-4 |
* 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.