Cell type-associated traits map for the [FetalKidney_Fetal mesenchymal progenitor][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 [FetalKidney_Fetal mesenchymal progenitor]. 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) |
---|---|---|---|---|---|---|---|---|
Age At Death | Age At Death | MTC | Pilling | 2016 | NA | 45627 | 5.00e-2 | 2.70e-2 |
Aggression | Aggression | MTC | Pappa | 2015 | NA | 15668 | 5.00e-2 | 7.78e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 3.02e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 5.00e-2 | 1.82e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-5 | 4.40e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 3.83e-4 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-2 | 4.34e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 3.12e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-3 | 4.62e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 5.00e-2 | 3.15e-4 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 1.00e-2 | 4.03e-2 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 7.06e-3 |
MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 1.00e-2 | 1.12e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 5.00e-2 | 1.11e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-2 | 1.04e-2 |
Partial Epilepsy | Partial Epilepsy | MTC | Kasperaviciute | 2010 | 3445 | 6935 | 1.00e-3 | 3.16e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 5.00e-2 | 2.81e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 2.21e-3 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 8.00e-3 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 5.00e-2 | 4.89e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 5.00e-2 | 2.52e-2 |
Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 5.00e-2 | 2.31e-2 |
Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 1.00e-4 | 1.76e-2 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 3.75e-2 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 2.61e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 7.27e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-3 | 7.13e-3 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.21e-2 |
Blood Cells | Hematocrit | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 4.37e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.18e-3 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 1.22e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 2.69e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-3 | 7.44e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.23e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.34e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 5.83e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 6.53e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 3.51e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 2.47e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.52e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 5.67e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 2.03e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 6.77e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 3.46e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 1.30e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.48e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 1.23e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.94e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 1.93e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.74e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 2.97e-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 | 1.44e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 4.37e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 1.51e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.52e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 1.80e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.80e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.91e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.99e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 2.97e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 2.97e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 2.84e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 4.99e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 3.00e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 4.47e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-2 | 2.54e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 5.00e-2 | 2.91e-2 |
Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 6.40e-3 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 3.13e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 7.28e-3 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 5.00e-2 | 5.88e-3 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 1.00e-2 | 5.07e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 1.00e-2 | 4.58e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Women | MTC | Chu | 2017 | NA | 3684 | 5.00e-2 | 2.47e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 2.51e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.16e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-3 | 2.88e-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 Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 1.00e-2 | 2.37e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 2.92e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 3.11e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 4.87e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-3 | 1.30e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 4.52e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 3.53e-2 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 8.60e-3 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.92e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.58e-6 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.40e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.67e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.45e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.30e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.52e-3 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.69e-2 |
Facial Shape | Mod2 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.86e-2 |
Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.22e-2 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.25e-2 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 5.40e-3 |
Facial Shape | Mod27 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.86e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.08e-2 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 6.68e-3 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.25e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.87e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.49e-2 |
Facial Shape | Mod35 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 8.42e-3 |
Facial Shape | Mod35 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.13e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.52e-3 |
Facial Shape | Mod38 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.30e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.42e-3 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.19e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.21e-3 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.10e-2 |
Facial Shape | Mod49 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.35e-2 |
Facial Shape | Mod51 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.99e-4 |
Facial Shape | Mod51 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.04e-2 |
Facial Shape | Mod52 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.76e-2 |
Facial Shape | Mod53 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.59e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.78e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.05e-3 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.04e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.45e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 4.90e-3 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-4 | 1.82e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-5 | 2.37e-2 |
Forced Expiratory Volume | Forced Expiratory Volume Over Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 2.01e-2 |
Forced Expiratory Volume | Forced Expiratory Volume Over Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-5 | 2.97e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 9.78e-3 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-2 | 7.63e-3 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-3 | 7.73e-3 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 5.00e-2 | 2.45e-3 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 1.99e-2 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 2.06e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 2.03e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 5.00e-2 | 1.87e-3 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 1.16e-2 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 1.00e-3 | 2.89e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 5.00e-2 | 1.20e-2 |
Longevity | Age 85 Or Greater | MTC | Deelen | 2014 | 7729 | 16121 | 1.00e-2 | 2.91e-2 |
Longevity | Age 90 Or Greater | MTC | Deelen | 2014 | 5406 | 15112 | 5.00e-2 | 1.78e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.20e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.89e-2 |
New Onset Diabetes | New Onset Diabetes After Drugs, European American | MTC | Chang | 2018 | 138 | 414 | 1.00e-2 | 4.92e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.31e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 5.73e-3 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 5.00e-2 | 3.80e-2 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 1.00e-2 | 2.89e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 1.79e-2 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-3 | 2.97e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.68e-2 |
Statin Efficacy | Delta TG With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.53e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 4.29e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 3.88e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 1.20e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 1.90e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 2.79e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 4.45e-3 |
EOC | Epithelial Ovarian Cancer | ETC | Phelan | 2017 | 25509 | 40941 | 1.00e-2 | 2.25e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 5.00e-2 | 2.61e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-2 | 4.98e-3 |
Ambidextrousness | Ambidextrousness | ETC | Kovel | 2019 | 5324 | 325713 | 1.00e-3 | 3.72e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 5.00e-2 | 6.51e-4 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 1.33e-2 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 3.65e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 2.29e-4 |
Sleep | Sleep duration variability | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 1.12e-2 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 5.00e-2 | 1.48e-2 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 5.11e-4 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 1.34e-3 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 1.42e-3 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-4 | 4.85e-2 |
Facial attractiveness | Facial attractiveness, male raters | ETC | Hu | 2019 | NA | 3928 | 5.00e-2 | 4.22e-2 |
Facial attractiveness | Facial attractiveness, female raters | ETC | Hu | 2019 | NA | 3928 | 1.00e-2 | 4.20e-3 |
Facial attractiveness | Facial attractiveness of females, male raters | ETC | Hu | 2019 | NA | 2062 | 1.00e-2 | 1.17e-2 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 2.79e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 3.73e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.10e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 1.94e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 1.89e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 1.21e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 4.51e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 5.68e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 5.00e-2 | 2.01e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 5.00e-2 | 2.87e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-4 | 3.23e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-5 | 4.52e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 1.00e-4 | 1.01e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 1.00e-5 | 3.09e-3 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 5.00e-2 | 1.68e-3 |
Erectile dysfunction | Erectile dysfunction | ETC | Bovijn | 2018 | 6175 | 217630 | 5.00e-2 | 4.69e-3 |
Erectile dysfunction | Erectile dysfunction | ETC | Bovijn | 2018 | 6175 | 217630 | 1.00e-2 | 2.47e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 2.30e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.38e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 1.30e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 1.73e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 1.08e-2 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.45e-2 |
Brain volume | Dentate gyrus molecular layer volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 6.70e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.45e-3 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.41e-2 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.25e-2 |
Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.55e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 3.14e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 1.42e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 2.69e-4 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 2.79e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 4.37e-2 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 5.00e-2 | 4.65e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 5.00e-2 | 4.28e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 1.00e-2 | 4.54e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-3 | 2.30e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-4 | 2.30e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-4 | 3.29e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.42e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-4 | 2.02e-3 |
Medication use | Medication use (antimigraine preparations) | ETC | Wu Y | 2019 | 5,521 | 114,323 | 5.00e-2 | 2.32e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 2.46e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 1.43e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 1.44e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 5.00e-2 | 7.76e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-2 | 2.87e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 1.44e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 2.37e-2 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 8.44e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 2.48e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 2.13e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.60e-4 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 2.85e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-3 | 2.97e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 5.00e-2 | 4.48e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 5.20e-3 |
same-sex sexual behaviour | same-sex sexual behaviour Male | ETC | Ganna A | 2019 | NA | 188,825 | 5.00e-2 | 2.84e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 5.00e-2 | 1.58e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 1.00e-2 | 3.17e-3 |
Birth | Early spontaneous preterm birth | ETC | Liu X | 2019 | 1,139 | 60,148 | 5.00e-2 | 4.67e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 6.99e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 1.31e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 1.87e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 4.03e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 1.55e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 2.74e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-2 | 3.54e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 6.23e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 1.33e-3 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 3.32e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 2.61e-3 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 1.57e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 1.22e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 2.37e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 5.36e-4 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-3 | 2.62e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (ANCA negative) | ETC | Lyons PA | 2019 | 352 | 6,688 | 1.00e-2 | 2.68e-3 |
BMI at birth | BMI at birth | ETC | Helgeland O | 2019 | NA | 9,286 | 1.00e-2 | 5.84e-3 |
BMI by age | BMI at 8 months old | ETC | Helgeland O | 2019 | NA | 7,197 | 5.00e-2 | 3.14e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 1.31e-3 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-2 | 1.06e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 1.00e-3 | 2.62e-2 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 5.00e-2 | 3.26e-2 |
Left ventricular | Left ventricular ejection fraction | ETC | Aung N | 2019 | NA | 16,923 | 1.00e-3 | 4.04e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 2.52e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 4.11e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 2.11e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-2 | 4.05e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 4.68e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 4.75e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 4.69e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 5.00e-2 | 4.57e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-2 | 4.44e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 1.65e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-5 | 3.51e-3 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-2 | 3.79e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-3 | 3.76e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 2.43e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-4 | 1.93e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-5 | 2.55e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.03e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.96e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.53e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.45e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.85e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.64e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 1.44e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.39e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.27e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.85e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.07e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.43e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.99e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.36e-3 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.21e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.86e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.04e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.72e-3 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.46e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.59e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.49e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.13e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.31e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.74e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.45e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.81e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.59e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 4.87e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 4.42e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.69e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 9.42e-3 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 2.13e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 8.65e-3 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.09e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.75e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 7.37e-3 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.04e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 6.43e-3 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 8.81e-3 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.49e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.82e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.87e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 5.00e-2 | 2.18e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 1.49e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 3.38e-5 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 1.05e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 1.38e-3 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 5.00e-2 | 5.29e-3 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 1.00e-2 | 1.50e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 2.08e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-2 | 1.73e-3 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 1.43e-4 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-4 | 9.28e-3 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-5 | 3.82e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 5.00e-2 | 5.24e-3 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-2 | 6.42e-3 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-3 | 1.17e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 3.51e-3 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 1.61e-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.