Cell type-associated traits map for the [FetalBrain_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 [FetalBrain_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) |
---|---|---|---|---|---|---|---|---|
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 5.00e-2 | 1.96e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-2 | 3.32e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-2 | 3.70e-3 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 7.19e-4 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-4 | 6.88e-4 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-5 | 4.07e-3 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 1.00e-2 | 4.49e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 1.77e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 2.14e-2 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 5.00e-2 | 2.49e-3 |
CD | Crohn's disease | MTC | Franke | 2010 | 6333 | 15056 | 1.00e-2 | 8.03e-3 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 2.24e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 5.00e-2 | 2.24e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 5.00e-2 | 4.75e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 1.00e-3 | 2.11e-2 |
Hemoglobin A1c | Hemoglobin A1c | ETC | Soranzo | 2010 | NA | 46368 | 1.00e-2 | 4.76e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 5.00e-2 | 2.11e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 1.96e-4 |
Alzheimers Protein Levels | Amyloid Beta 1 42 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 8.27e-3 |
Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 5.00e-2 | 2.36e-2 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 1.29e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 8.06e-3 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 3.14e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 4.13e-3 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 2.89e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 4.58e-2 |
Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 1.00e-2 | 3.79e-2 |
Blood Cells | Mean Corpuscular Hemoglobin Concentration | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.65e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 2.43e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 5.00e-2 | 9.40e-3 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-2 | 2.20e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-3 | 3.73e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 8.82e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.06e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 2.74e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 7.66e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.20e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.51e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.85e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 1.24e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.18e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.34e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 2.26e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 6.23e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.90e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.69e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.24e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.25e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 2.50e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 2.26e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 6.40e-3 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.42e-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 | 1.98e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 4.80e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.88e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.66e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.20e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 2.60e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 2.37e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-2 | 3.53e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 5.00e-2 | 4.38e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-5 | 3.87e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 60 And More | MTC | Medina-Gomez | 2018 | NA | 22504 | 5.00e-2 | 1.37e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 5.00e-2 | 1.20e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-2 | 1.60e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 1.00e-3 | 3.02e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 4.25e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 1.00e-2 | 4.46e-3 |
Cognitive Functions | Memory | MTC | Davies | 2016 | NA | 112067 | 5.00e-2 | 3.10e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 1.93e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 1.86e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 2.72e-3 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 9.25e-3 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 1.00e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-3 | 1.55e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 2.62e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 6.59e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 1.81e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.01e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 3.52e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 3.92e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 1.00e-2 | 4.87e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 3.25e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 6.98e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 4.85e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 5.00e-2 | 4.00e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.70e-3 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.51e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.51e-3 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.67e-2 |
Facial Shape | Mod15 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.43e-2 |
Facial Shape | Mod16 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.77e-2 |
Facial Shape | Mod18 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.12e-3 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.96e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.70e-2 |
Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.26e-4 |
Facial Shape | Mod20 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.53e-2 |
Facial Shape | Mod22 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.18e-2 |
Facial Shape | Mod26 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.83e-2 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.73e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.36e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.41e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.06e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 7.19e-3 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.42e-2 |
Facial Shape | Mod39 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.78e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.70e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.54e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 6.08e-3 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.58e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 7.89e-4 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.37e-2 |
Facial Shape | Mod5 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 6.24e-3 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.33e-2 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.37e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 7.88e-3 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.47e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.91e-3 |
Facial Shape | Mod63 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.08e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.79e-3 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 1.89e-2 |
Forced Expiratory Volume | Forced Expiratory Volume | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-5 | 3.59e-2 |
Forced Expiratory Volume | Forced Expiratory Volume Over Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 7.22e-3 |
Gestational Weight Gain | Total Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 10555 | 5.00e-2 | 7.16e-3 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 1.00e-2 |
Glucose Stimulated Insulin Secretion | Insulin Sensitivity Index | MTC | Prokopenko | 2014 | NA | 10837 | 5.00e-2 | 5.47e-4 |
Insulin Sensitivity Index | Model 2 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 4.51e-2 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 1.56e-3 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 1.00e-3 | 4.44e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 1.85e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 2.47e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 5.00e-2 | 1.24e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 5.08e-3 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 2.35e-2 |
Ischaemic Stroke | Small Vessel Disease | MTC | Traylor | 2012 | 2275 | 12285 | 1.00e-2 | 3.82e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 1.58e-4 |
Kidney Function | Rapid Decline | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 4.19e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 3.90e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 5.00e-2 | 4.69e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 4.96e-2 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 3.43e-2 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 1.91e-2 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-2 | 4.49e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.16e-2 |
Lymphocyte Subsets | CD56 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 7.80e-3 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 2.51e-3 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.84e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 3.07e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 1.32e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 2.68e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 1.85e-3 |
Reproductive Behavior | Age First Birth Male | MTC | Barban | 2016 | NA | 48408 | 1.00e-4 | 4.37e-2 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 5.00e-2 | 1.20e-4 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 1.00e-2 | 1.77e-3 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.11e-2 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 1.38e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 2.35e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 4.81e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.55e-3 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 1.77e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 3.74e-2 |
Waist Format 2 | Hip Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 3.70e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 3.27e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.39e-3 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 6.13e-4 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 5.00e-2 | 2.22e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 1.06e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 1.76e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 1.88e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 5.06e-3 |
Sleep | Sleep duration variability | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 3.29e-3 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-3 | 2.72e-2 |
CTS | Carpal tunnel syndrome | ETC | Wiberg | 2019 | 12312 | 389344 | 1.00e-5 | 4.31e-2 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 1.00e-2 | 1.65e-2 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 1.00e-3 | 4.08e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 2.60e-2 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 3.46e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 5.93e-3 |
Body fat distribution | Body fat distribution, leg fat ratio, male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 3.26e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 3.94e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 1.33e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 3.86e-2 |
Body fat distribution | Body fat distribution-trunk-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-5 | 2.27e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.98e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 4.43e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 1.00e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-4 | 2.59e-2 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 5.00e-2 | 1.88e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 5.00e-2 | 3.11e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-2 | 1.96e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-4 | 4.82e-2 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-5 | 3.87e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 5.00e-2 | 2.49e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 5.00e-2 | 1.66e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-2 | 2.51e-2 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 1.00e-4 | 3.36e-2 |
Brain volume | White matter hyperintensity volume | ETC | Traylor | 2019 | NA | 8429 | 5.00e-2 | 9.62e-3 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 3.87e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 4.20e-2 |
Physical activity | Physical activity, walking duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 2.12e-2 |
Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.95e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.99e-2 |
Brain volume | Dentate gyrus molecular layer volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.68e-4 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 8.02e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.01e-3 |
Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.63e-3 |
Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 7.25e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 9.90e-3 |
Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.25e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 1.43e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 2.49e-5 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 4.64e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 2.03e-2 |
Medication use | Medication use (vasodilators used in cardiac diseases) | ETC | Wu Y | 2019 | 5,546 | 237,113 | 5.00e-2 | 3.35e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 3.70e-3 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 5.00e-2 | 9.13e-3 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 1.00e-2 | 2.18e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-4 | 2.06e-3 |
Medication use | Medication use (antimigraine preparations) | ETC | Wu Y | 2019 | 5,521 | 114,323 | 1.00e-5 | 3.87e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 3.90e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-2 | 3.50e-5 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 1.25e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 5.00e-2 | 2.06e-4 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-2 | 1.97e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 2.53e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 3.32e-3 |
Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 1.57e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 2.29e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 1.60e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 9,844 | 20,403 | 1.00e-2 | 3.79e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 3.57e-2 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 5.00e-2 | 1.02e-2 |
Parietal lobe volume | Parietal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 3.99e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 5.00e-2 | 2.22e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 1.00e-2 | 1.24e-2 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 5.00e-2 | 2.91e-2 |
Urate | Urate levels | ETC | Tin A | 2019 | NA | 288,649 | 1.00e-3 | 2.18e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 4.10e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 5.43e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 3.09e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 1.62e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 2.23e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-3 | 3.79e-4 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-4 | 2.62e-3 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 697,734 | 1.00e-5 | 2.02e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-3 | 1.54e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 1.77e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 1.94e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 1.23e-5 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-2 | 4.88e-2 |
Lung function | Lung function (forced vital capacity) variance | ETC | Wang H | 2019 | NA | 317,222 | 5.00e-2 | 3.28e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 1.37e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 3.77e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 2.30e-2 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 5.00e-2 | 2.64e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 1.75e-2 |
PD | Parkinson's disease in GBA mutation carriers | ETC | Blauwendraat C | 2020 | 1,588 | 7,584 | 5.00e-2 | 1.67e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 5.00e-2 | 1.88e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-2 | 8.82e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 5.37e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 1.13e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-3 | 3.06e-4 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-4 | 6.11e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-5 | 6.40e-3 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 3.41e-5 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-2 | 3.69e-3 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-3 | 2.59e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 6.29e-5 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-2 | 1.18e-3 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 1.55e-4 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-4 | 4.89e-4 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 1.71e-4 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 6.54e-5 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-3 | 1.94e-3 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 7.63e-3 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 5.00e-2 | 2.16e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-2 | 1.21e-3 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 9.01e-3 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-5 | 1.92e-2 |
Refractive error | Refractive error (age-at-onset of spectacle wearing-inferred) | ETC | Ghorbani Mojarrad N | 2020 | NA | 287,448 | 1.00e-2 | 4.71e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 2.07e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-3 | 3.91e-2 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 5.00e-2 | 1.45e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.81e-2 |
IL 6 | Interleukin-6 receptor subunit alpha levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 4.21e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.71e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 1.80e-2 |
C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.33e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.54e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.43e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 9.09e-4 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 1.98e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.79e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 1.72e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 3.39e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.81e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.37e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.97e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.40e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.53e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.23e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.43e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.61e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.09e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.04e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.01e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 5.58e-3 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.05e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 3.86e-9 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 8.67e-10 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 7.87e-6 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 3.86e-5 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 6.95e-5 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 8.78e-3 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-3 | 4.95e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 2.33e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-2 | 4.03e-3 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-3 | 1.64e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-4 | 2.70e-2 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 1.00e-3 | 3.87e-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.