Cell type-associated traits map for the [AdultTemporalLobe_Oligodendrocyte][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 [AdultTemporalLobe_Oligodendrocyte]. 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 | ETC | Demontis | 2017 | 19099 | 34194 | 5.00e-2 | 2.29e-2 |
Age At Menarche | Age At Menarche | ETC | Perry | 2014 | NA | 182413 | 1.00e-5 | 4.64e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 5.17e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 5.00e-2 | 6.35e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-2 | 8.10e-3 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-3 | 1.23e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 5.00e-2 | 1.60e-2 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-3 | 7.23e-3 |
BMI | Body Mass Index | MTC | Speliotes | 2010 | NA | 123865 | 1.00e-5 | 3.71e-2 |
Cerebral White Matter Hyperintensity | Cerebral White Matter Hyperintensity | MTC | Traylor | 2016 | NA | 3670 | 5.00e-2 | 3.75e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 5.00e-2 | 3.60e-2 |
Cognitive Performance | Cognitive Performance | MTC | Rietveld | 2014 | NA | 106736 | 1.00e-2 | 9.54e-3 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-5 | 2.57e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 5.00e-2 | 6.43e-3 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 1.00e-2 | 4.85e-2 |
Height | Height | MTC | Lango-Allen | 2010 | NA | 133653 | 1.00e-3 | 4.80e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 5.00e-2 | 2.60e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-3 | 1.29e-3 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-4 | 1.21e-2 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 5.00e-2 | 5.85e-3 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 1.00e-2 | 2.22e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 5.00e-2 | 2.09e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 1.13e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 1.00e-2 | 4.13e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 5.00e-2 | 1.26e-2 |
Warfarin maintenance dose | Warfarin maintenance dose | MTC | Cooper | 2008 | NA | 181 | 1.00e-2 | 9.68e-3 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Diabetics | MTC | Teumer | 2016 | NA | 5825 | 1.00e-2 | 2.69e-3 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 4.38e-2 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 1.00e-2 | 7.85e-3 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 5.00e-2 | 2.14e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-2 | 2.60e-2 |
Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 5.00e-2 | 3.26e-2 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-2 | 1.24e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 1.00e-2 | 2.70e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-4 | 1.93e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 1.31e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 8.78e-3 |
Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 1.79e-2 |
Anthropometrics Sex Stratified | Hip Circumference Women | MTC | Randall | 2013 | NA | 43316 | 5.00e-2 | 4.51e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 5.00e-2 | 4.97e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-2 | 2.49e-3 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 5.00e-2 | 3.92e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-2 | 2.16e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 5.00e-2 | 1.29e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-3 | 7.17e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Women | MTC | Randall | 2013 | NA | 42969 | 5.00e-2 | 3.45e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 2.34e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 8.80e-3 |
Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 1.00e-3 | 2.21e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 5.00e-2 | 1.54e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-2 | 4.90e-2 |
Blood Cells | Monocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 6.39e-3 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-3 | 3.03e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-4 | 2.38e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 5.00e-2 | 4.92e-2 |
BMI Age Stratified | BMI Women Age Over 50 | MTC | Winkler | 2015 | NA | 106622 | 1.00e-4 | 2.73e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-2 | 4.19e-2 |
BMI | BMI European Women | MTC | Locke | 2015 | NA | 132115 | 1.00e-3 | 2.33e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 3.55e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 3.04e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.20e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 3.22e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 5.33e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.09e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 2.29e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.22e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 1.09e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 1.33e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 2.28e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 8.70e-3 |
BMI Smoking Adjusted | BMI Smoking Adjusted European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 4.83e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.79e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.25e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.60e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.10e-2 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 9.93e-4 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 3.22e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 2.62e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 5.00e-2 | 4.92e-3 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 5.00e-2 | 1.36e-3 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-2 | 7.26e-4 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-3 | 2.25e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-4 | 1.31e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-5 | 4.29e-2 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 5.00e-2 | 1.19e-3 |
Cognitive Functions | Reaction Time | MTC | Davies | 2016 | NA | 111483 | 1.00e-2 | 5.58e-4 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 3640 | 5.00e-2 | 4.42e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-3 | 2.10e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.76e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 7.10e-4 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 9.94e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Women | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 9.78e-3 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 5.00e-2 | 3.22e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 5.00e-2 | 3.02e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 1.00e-2 | 3.74e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | MTC | Chu | 2017 | NA | 5729 | 1.00e-3 | 2.61e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 4.98e-3 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 5.00e-2 | 4.82e-3 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-2 | 8.48e-3 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-3 | 1.46e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-4 | 2.24e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-5 | 4.90e-2 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 4.20e-2 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-2 | 2.08e-2 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-3 | 5.23e-4 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 2.40e-3 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-2 | 3.34e-4 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 2.20e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.45e-2 |
Facial Shape | Mod2 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.91e-2 |
Facial Shape | Mod21 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.58e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.42e-2 |
Facial Shape | Mod40 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.42e-4 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.06e-2 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.65e-2 |
Facial Shape | Mod43 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.69e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 5.00e-2 | 4.13e-2 |
Glucose Stimulated Insulin Secretion | Disposition Index | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.22e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 9.05e-3 |
Glycemic Traits | HOMA B | MTC | Dupuis | 2010 | NA | 36466 | 1.00e-2 | 1.25e-2 |
Glycemic Traits | HOMA B | MTC | Dupuis | 2010 | NA | 36466 | 1.00e-3 | 2.49e-2 |
Glycemic Traits | HOMA B | MTC | Dupuis | 2010 | NA | 36466 | 1.00e-4 | 3.86e-2 |
Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 4.52e-2 |
Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 1.00e-2 | 4.15e-3 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 1.00e-2 | 8.27e-4 |
Insulin Secretion | Insulin Secretion Rate Adjusted For BMI | MTC | Wood | 2017 | NA | 527 | 1.00e-2 | 1.17e-2 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 3.95e-2 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 1.72e-2 |
Kidney Function | CKDi | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 3.40e-2 |
Kidney Function | CKDi25 | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 2.55e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 2.20e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 2.13e-2 |
Kidney Function | Chronic Kidney Disease | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 1.46e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 4.70e-2 |
Lipoprotein Concentrations | High Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-2 | 1.49e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-3 | 2.61e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-5 | 2.97e-2 |
Longevity | Age 90 Or Greater | MTC | Deelen | 2014 | 5406 | 15112 | 5.00e-2 | 9.64e-3 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 5.29e-3 |
Personality Big5 | Openness To Experience | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 3.11e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 3.20e-2 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 5.00e-2 | 4.85e-3 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-2 | 3.37e-2 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 5.00e-2 | 4.30e-4 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 4.38e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 2.58e-2 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 5.00e-2 | 2.89e-4 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-2 | 2.59e-3 |
Smoking | Ever Vs Never Smoked Discrete | MTC | Furberg | 2010 | 39022 | 30387 | 1.00e-3 | 1.78e-3 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-4 | 1.88e-2 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-3 | 4.92e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 2.66e-2 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 4.82e-2 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 3.13e-2 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 4.00e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 4.96e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 3.59e-2 |
Waist Format 1 | Waist Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 9.77e-3 |
Waist Format 1 | Waist Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 4.43e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 1.83e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 1.10e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 2.68e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.68e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 2.77e-2 |
Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 2.98e-3 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-2 | 1.61e-2 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-3 | 1.38e-2 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-4 | 4.70e-3 |
SCZ | Schizophrenia | ETC | Ripke | 2014 | 32405 | 42221+í | 1.00e-5 | 2.73e-2 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 5.00e-2 | 2.02e-2 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 1.00e-2 | 5.73e-3 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-2 | 1.83e-2 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-3 | 1.31e-2 |
SCZ | Schizophrenia | ETC | Pardinas | 2018 | 40675 | 64643 | 1.00e-5 | 3.10e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-4 | 1.95e-2 |
Ambidextrousness | Ambidextrousness | ETC | Kovel | 2019 | 5324 | 325713 | 1.00e-2 | 3.23e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 2.49e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 4.68e-2 |
Sleep | Sleep duration variability | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 2.49e-2 |
Sleep | Sleep number of episodes | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 4.39e-2 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 6.10e-3 |
Sleep | Sleep duration, short sleep | ETC | Dashti | 2019 | 106192 | 305742 | 5.00e-2 | 2.26e-3 |
Sleep | Sleep duration | ETC | Dashti | 2019 | NA | 446118 | 5.00e-2 | 7.99e-3 |
Insomnia | Insomnia symptoms, never-rarely vs sometimes usually | ETC | Lane | 2019 | 345022 | 108357 | 5.00e-2 | 5.10e-3 |
Chronotype | Chronotype | ETC | Jones | 2019 | NA | 449734 | 1.00e-2 | 2.18e-2 |
Morning person | Morning person | ETC | Jones | 2019 | 252287 | 150908 | 1.00e-2 | 1.18e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.58e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 5.92e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 5.00e-2 | 4.16e-2 |
Sleep | Sleep duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 3.56e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 4.50e-3 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 6.17e-3 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 2.07e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-5 | 1.05e-2 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 1.02e-2 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 4.39e-4 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 4.34e-3 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 2.89e-2 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.14e-3 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.12e-2 |
ACR | Urinary albumin to creatinine ratio | ETC | Zanetti | 2019 | NA | 218759 | 5.00e-2 | 2.75e-2 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 5.00e-2 | 2.67e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 5.00e-2 | 1.17e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 1.03e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 3.62e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 5.00e-2 | 1.65e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 5.00e-2 | 3.70e-2 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 5.00e-2 | 3.48e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 1.74e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-3 | 4.07e-2 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 3.51e-2 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.56e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-3 | 4.46e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-4 | 8.55e-3 |
Visceral adipose tissue | Predicted visceral adipose tissue Both | ETC | Karlsson T | 2019 | NA | 325,153 | 1.00e-5 | 4.59e-2 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 1.00e-3 | 4.90e-2 |
BMI | Body mass index | ETC | Pulit SL | 2019 | NA | 374,756 | 1.00e-4 | 2.57e-2 |
AD | Alzheimer's disease | ETC | Moreno-Grau S | 2019 | 4,120 | 3,289 | 1.00e-3 | 2.68e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 5.00e-2 | 2.40e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 5.00e-2 | 5.52e-3 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 4.29e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 2.25e-2 |
BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 1.00e-2 | 3.85e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 3.14e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 4.38e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 5.00e-2 | 2.07e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 2.25e-2 |
Temporale grey matter volume | Right planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,039 | 5.00e-2 | 2.99e-2 |
Temporale grey matter volume | Left planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,037 | 5.00e-2 | 1.73e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 2.87e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-4 | 4.12e-3 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-5 | 4.07e-2 |
Household income (MTAG) | Household income (MTAG) | ETC | Hill WD | 2019 | NA | 505,541 | 1.00e-4 | 7.23e-3 |
Heart failure | Heart failure | ETC | Shah S | 2020 | 47,309 | 930,014 | 1.00e-5 | 1.58e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.27e-3 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 6.34e-3 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.40e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.81e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.21e-3 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.86e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 1.62e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 1.40e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 4.61e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.89e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 2.86e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.60e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 3.17e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 4.13e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-2 | 4.40e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 5.00e-2 | 2.73e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 5.00e-2 | 1.65e-3 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 1.05e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 5.00e-2 | 3.68e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 1.00e-2 | 2.77e-2 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 1.00e-3 | 4.78e-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.