Cell type-associated traits map for the [AdultTransverseColon_Stromal 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 [AdultTransverseColon_Stromal 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) |
---|---|---|---|---|---|---|---|---|
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 5.00e-2 | 8.96e-3 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 3.74e-2 |
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 1.00e-5 | 2.29e-2 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 5.00e-2 | 2.38e-2 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 1.00e-2 | 3.42e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 4.66e-2 |
Clozapine Induced Agranulocytosis | Clozapine Induced Agranulocytosis | ETC | Goldstein | 2014 | 161 | 1196 | 5.00e-2 | 4.69e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-3 | 1.55e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 1.34e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 4.12e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-3 | 2.31e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-4 | 2.99e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-5 | 4.15e-3 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 5.51e-5 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-2 | 1.42e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-3 | 5.92e-3 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-4 | 2.49e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-3 | 3.19e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 5.00e-2 | 2.55e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 5.00e-2 | 3.07e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 4.21e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 5.25e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 5.35e-3 |
Type 2 Diabetes | Type 2 Diabetes | ETC | Morris | 2012 | 12171 | 56862 | 5.00e-2 | 4.86e-3 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 1.28e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 4.20e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 5.00e-2 | 9.27e-3 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 3.52e-3 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 2.61e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 5.00e-2 | 2.54e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 8.03e-4 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 3.96e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 2.50e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 1.76e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-2 | 4.54e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.33e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.67e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.75e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.86e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-2 | 4.13e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-3 | 1.15e-3 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-2 | 3.89e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.86e-4 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 6.47e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 6.87e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 2.73e-4 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.68e-4 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 9.27e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.70e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 1.64e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.06e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.21e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.22e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.00e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 5.84e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.39e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.56e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.12e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.61e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.11e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 4.05e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.13e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 3.95e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 1.56e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 5.34e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.13e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.47e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.36e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 3.11e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 3.53e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.86e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 3.80e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density All | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 4.28e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 7.84e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-2 | 1.19e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 3.72e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-4 | 2.99e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-5 | 1.99e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 6.84e-3 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 7.45e-4 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-3 | 1.29e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-4 | 1.27e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-5 | 8.83e-3 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 6.82e-3 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-4 | 1.80e-2 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-5 | 4.61e-2 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 5.00e-2 | 3.75e-3 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 1.00e-2 | 2.01e-2 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 1.00e-2 | 5.63e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 1.38e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-3 | 1.78e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 5.00e-2 | 2.14e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-2 | 2.23e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 4.59e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 1.97e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 2.17e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.89e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.14e-2 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.23e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.79e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.58e-2 |
Facial Shape | Mod30 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.71e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.98e-3 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.99e-2 |
Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.58e-2 |
Facial Shape | Mod50 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.21e-2 |
Facial Shape | Mod51 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.99e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.35e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.23e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 2.66e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-2 | 1.90e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 1.25e-3 |
Inflammatory Bowel Disease European | Ulcerative Colitis | ETC | Liu | 2015 | 6968 | 20464 | 1.00e-2 | 4.75e-2 |
Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 3.36e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 8.30e-3 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 1.00e-2 | 3.80e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 1.84e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 5.00e-2 | 1.40e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 5.00e-2 | 8.12e-3 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 1.06e-3 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 5.00e-2 | 3.18e-2 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 1.00e-3 | 1.56e-2 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 2.05e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 1.46e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 3.87e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 2.83e-4 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 3.79e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 5.00e-2 | 3.83e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 2.23e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.91e-2 |
New Onset Diabetes | New Onset Diabetes After Drugs, European American | MTC | Chang | 2018 | 138 | 414 | 1.00e-2 | 7.88e-3 |
Personality Big5 | Conscientousness | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.24e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 9.60e-3 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 5.00e-2 | 1.01e-3 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-2 | 2.29e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 1.00e-3 | 2.30e-2 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 5.00e-2 | 1.30e-2 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 5.00e-2 | 6.84e-3 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-2 | 1.49e-3 |
Smoking | Cigarettes Per Day | ETC | Furberg | 2010 | NA | 38181 | 1.00e-3 | 2.80e-4 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-3 | 3.58e-2 |
Social Deprivation | Townsend Score | MTC | Hill | 2016 | NA | 96900 | 5.00e-2 | 3.53e-2 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.48e-2 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 1.06e-2 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 3.40e-2 |
Tanner Stage | Tanner Stage All | MTC | Cousminer | 2014 | NA | 9913 | 1.00e-2 | 4.13e-2 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 5.00e-2 | 3.04e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 2.95e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 2.92e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 9.08e-3 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.44e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 2.85e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 2.50e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 3.21e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.40e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.91e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 4.62e-3 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 4.76e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 1.77e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 3.47e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 1.67e-2 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 1.00e-3 | 2.97e-2 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 5.00e-2 | 1.18e-3 |
CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-4 | 2.95e-2 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 4.30e-3 |
Sleep | Sleep duration variability | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 3.77e-2 |
Sleep | Sleep time to midpoint | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 1.02e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 1.00e-2 | 3.13e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 5.00e-2 | 4.83e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-3 | 1.42e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-4 | 8.65e-3 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-5 | 4.34e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 1.48e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 2.84e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 2.64e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 2.24e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.88e-3 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 1.11e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 5.00e-2 | 4.50e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 1.89e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 1.78e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.39e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.50e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.58e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 3.37e-5 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 1.33e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 4.62e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 9.96e-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 | 9.20e-3 |
Medication use | Medication use (antimigraine preparations) | ETC | Wu Y | 2019 | 5,521 | 114,323 | 1.00e-5 | 2.21e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 4.81e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 7.21e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT3) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.54e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 6.35e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 2.20e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 3.00e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 5.00e-2 | 2.56e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 1.00e-2 | 3.41e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 5.00e-2 | 5.41e-3 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 1.00e-2 | 3.65e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 4.24e-2 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 5.00e-2 | 5.07e-3 |
Asthma | Asthma (adult onset) | ETC | Zhu Z | 2019 | 22,296 | 347,481 | 1.00e-2 | 4.48e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 7.98e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 2.30e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 1.09e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 1.57e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 2.19e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 3.09e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 2.10e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-3 | 1.05e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 3.61e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 1.74e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 2.12e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 8.09e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 1.79e-5 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 2.61e-2 |
Lung function | Lung function (FEV1/FVC) variance | ETC | Wang H | 2019 | NA | 316,614 | 1.00e-3 | 3.76e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 2.28e-3 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 2.11e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 2.14e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 3.96e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 5.00e-2 | 1.87e-2 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 5.00e-2 | 7.51e-3 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 1.00e-2 | 2.61e-2 |
BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 5.00e-2 | 2.49e-4 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 4.23e-4 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 5.00e-2 | 1.42e-2 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 1.00e-2 | 2.01e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 1.03e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 3.72e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 1.74e-3 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 2.19e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 4.61e-3 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 1.26e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 5.73e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 1.32e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 2.03e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 3.15e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-5 | 4.00e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-2 | 1.88e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-3 | 4.79e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-5 | 2.21e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.87e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.17e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 9.38e-3 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 1.28e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 5.00e-2 | 1.72e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 8.01e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 3.04e-5 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 8.78e-4 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 4.05e-4 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 4.75e-4 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 1.77e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-2 | 9.07e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-3 | 2.20e-2 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 5.00e-2 | 1.21e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 5.30e-3 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 1.27e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 1.00e-2 | 1.10e-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.