Cell type-associated traits map for the [AdultRectum_Enterocyte 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 [AdultRectum_Enterocyte 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) |
---|---|---|---|---|---|---|---|---|
Asthma | Asthma | MTC | Moffatt | 2010 | 10365 | 16110 | 5.00e-2 | 1.52e-2 |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 5.00e-2 | 3.39e-3 |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 1.00e-2 | 1.59e-3 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 5.00e-2 | 1.74e-2 |
Birth Weight | Birth Weight | MTC | Horikoshi | 2013 | NA | 26836 | 1.00e-2 | 1.01e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-3 | 3.55e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 1.00e-4 | 2.57e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 1.00e-4 | 4.92e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-3 | 4.89e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-3 | 4.89e-2 |
Gait Speed | Gait Speed | MTC | Ben-Avraham | 2017 | NA | 31478 | 1.00e-3 | 1.16e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-3 | 3.82e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-4 | 4.37e-2 |
MDD | Major Depressive Disorder | MTC | McMahon | 2010 | 6686 | 9068 | 1.00e-2 | 3.46e-2 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 5.00e-2 | 2.95e-3 |
Male Pattern Baldness | Male Pattern Baldness | MTC | Hagenaars | 2017 | NA | 52874 | 1.00e-2 | 7.18e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 4.19e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 5.00e-2 | 4.32e-2 |
Obesity Childhood | Obesity Childhood | MTC | Bradfield | 2012 | 5530 | 8318 | 1.00e-2 | 5.62e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 1.00e-2 | 9.10e-3 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 5.00e-2 | 1.70e-2 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 5.00e-2 | 1.15e-3 |
Visual Refractive Error | Visual Refractive Error | MTC | Stambolian | 2013 | NA | 7280 | 1.00e-2 | 3.90e-2 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 5.00e-2 | 3.93e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Boger | 2011 | NA | 31580 | 1.00e-2 | 3.59e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Boger | 2011 | NA | 31580 | 1.00e-3 | 3.23e-3 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-2 | 3.89e-4 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-3 | 2.29e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 5.00e-2 | 1.33e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Nondiabetics | MTC | Teumer | 2016 | NA | 46051 | 1.00e-2 | 3.08e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 1.00e-5 | 2.02e-2 |
Anthropometric Extremes | Obesity Class 3 | MTC | Berndt | 2013 | 2896 | 65840 | 1.00e-3 | 2.88e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-2 | 2.50e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 9.30e-3 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 5.00e-2 | 2.66e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 1.42e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 1.00e-5 | 3.75e-2 |
Blood Cells | Mean Erythrocyte Cell Volume | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.19e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 5.00e-2 | 4.63e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 9.39e-3 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 5.00e-2 | 2.59e-2 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 1.00e-2 | 7.91e-3 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 1.00e-3 | 5.18e-3 |
BMI | BMI European Men | MTC | Locke | 2015 | NA | 104666 | 1.00e-3 | 2.73e-2 |
BMI Physical Activity Interaction | BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 1.30e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 3.55e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.04e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.44e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 1.88e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.61e-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 | 4.06e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 4.66e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 3.32e-3 |
BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 2.54e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Men | MTC | Estrada | 2012 | NA | 32961 | 5.00e-2 | 2.28e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 5.00e-2 | 2.12e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 1.00e-4 | 1.68e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-3 | 4.55e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-3 | 1.77e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-2 | 1.08e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-3 | 9.93e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-2 | 4.58e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 3.91e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 4.55e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7432 | 5.00e-2 | 4.95e-2 |
Educational Attainment | Education Years All | ETC | Okbay | 2016 | NA | 293723 | 1.00e-5 | 2.03e-2 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 5.15e-3 |
Educational Attainment | Education Years Men | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-5 | 9.30e-4 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 5.00e-2 | 1.88e-2 |
Educational Attainment | Education Years Women | MTC | Okbay | 2016 | 0 | 293723 men and women | 1.00e-4 | 2.31e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-2 | 9.69e-3 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-3 | 2.19e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-4 | 1.48e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-5 | 1.13e-3 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 5.00e-2 | 3.91e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-2 | 3.87e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-3 | 7.60e-3 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-4 | 1.72e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-5 | 6.04e-3 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.38e-2 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.02e-2 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.45e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.18e-3 |
Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.34e-3 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.25e-3 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.56e-2 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.95e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 5.00e-2 | 4.62e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 1.00e-2 | 1.65e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 1.00e-2 | 3.16e-4 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 1.00e-2 | 2.53e-2 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 1.00e-2 | 4.14e-2 |
Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 4.29e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 1.67e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 3.52e-3 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-3 | 7.99e-3 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-4 | 1.94e-3 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-5 | 7.84e-3 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 5.00e-2 | 1.84e-2 |
Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 1.52e-2 |
Kidney Function | Serum Creatinine | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-4 | 3.70e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 4.87e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 2.23e-3 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 3.49e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 3.37e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-3 | 3.95e-2 |
Lipoprotein Concentrations | Low Density Lipoprotein | MTC | Kathiresan | 2009 | NA | 19840 | 1.00e-5 | 2.97e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 2.53e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 6.65e-3 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 9.86e-4 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 1.64e-2 |
Personality Big5 | Agreeableness | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 3.03e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 2.93e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-2 | 4.06e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-3 | 1.30e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-4 | 2.48e-2 |
Reproductive Behavior | Age First Birth Female | MTC | Barban | 2016 | NA | 189656 | 1.00e-5 | 1.24e-3 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-2 | 5.97e-3 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-3 | 1.87e-3 |
Reproductive Behavior | Age First Birth Pooled | ETC | Barban | 2016 | NA | 238064 | 1.00e-4 | 1.27e-2 |
Smoking | Log Age Onset Smoking | MTC | Furberg | 2010 | NA | 22438 | 5.00e-2 | 1.53e-2 |
Social Deprivation | Household Income | MTC | Hill | 2016 | NA | 112005 | 1.00e-2 | 1.17e-2 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-3 | 2.20e-2 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 9.41e-3 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 2.57e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 3.28e-3 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 4.78e-2 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 5.00e-2 | 1.89e-2 |
COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 1.00e-4 | 2.60e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 2.03e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 3.06e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 2.55e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 3.39e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 3.81e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 4.38e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-5 | 2.03e-2 |
K/C ratio | Urinary potassium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218435 | 1.00e-3 | 2.09e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 5.00e-2 | 2.88e-3 |
Body fat distribution | Body fat distribution-arm-fat-ratio-male | ETC | Andersen | 2019 | NA | 116138 | 1.00e-2 | 8.82e-3 |
Osteoarthritis | Knee osteoarthritis | ETC | Tachmazidou | 2019 | 24955 | 376169 | 5.00e-2 | 3.41e-2 |
Smoking | Smoking initiation ever regular vs never-regular | ETC | Liua | 2019 | NA | 1232091 | 1.00e-2 | 3.02e-2 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 5.00e-2 | 4.86e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 1.00e-2 | 4.93e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 5.00e-2 | 9.78e-3 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-4 | 4.76e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-3 | 4.30e-2 |
Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 1.00e-5 | 1.72e-2 |
Physical activity | Physical activity, overall physical activity time | ETC | Doherty | 2018 | NA | 91105 | 1.00e-4 | 4.92e-2 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.40e-2 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.97e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 5.00e-2 | 4.67e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-3 | 3.80e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-5 | 4.26e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-2 | 4.99e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-2 | 2.14e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-4 | 9.50e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-5 | 3.85e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-4 | 2.09e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 2.53e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-2 | 2.79e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-3 | 1.98e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-5 | 1.80e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 2.94e-2 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 4.39e-3 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 7,834 | 15,258 | 1.00e-3 | 2.57e-2 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-3 | 2.14e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-3 | 4.78e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-2 | 4.22e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Female | ETC | Karlsson T | 2019 | NA | 161,168 | 1.00e-5 | 3.75e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-3 | 2.41e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-4 | 1.07e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-5 | 1.66e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 4.21e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 3.29e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 7.90e-3 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 1.00e-2 | 1.23e-2 |
Waist to hip ratio | Waist-hip ratio variance | ETC | Wang H | 2019 | NA | 347,134 | 1.00e-3 | 8.23e-3 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-2 | 3.45e-2 |
Waist to hip ratio | BMI-adjusted waist-hip ratio variance | ETC | Wang H | 2019 | NA | 346,535 | 1.00e-3 | 3.14e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 4.81e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 1.00e-3 | 2.93e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 1.42e-2 |
BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 5.00e-2 | 3.44e-2 |
BMI by age | BMI at 7 years old | ETC | Helgeland O | 2019 | NA | 4,629 | 5.00e-2 | 2.09e-2 |
BMI by age | BMI at 8 years old | ETC | Helgeland O | 2019 | NA | 3,862 | 5.00e-2 | 3.65e-2 |
Left ventricular | Left ventricular end-systolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 1.57e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-3 | 1.78e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 1.00e-4 | 1.54e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-4 | 5.86e-3 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 5.00e-2 | 1.26e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-2 | 1.34e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-3 | 3.20e-2 |
Central corneal thickness | Central corneal thickness | ETC | Bonnemaijer PWM | 2019 | NA | 16,204 | 1.00e-4 | 4.28e-2 |
Temporale grey matter volume | Right planum temporale grey matter volume | ETC | Carrion-Castillo A | 2020 | NA | 18,039 | 1.00e-3 | 1.65e-2 |
Metabolic syndrome | Metabolic syndrome | ETC | Lind L | 2019 | NA | 291,107 | 5.00e-2 | 4.43e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-4 | 3.34e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-5 | 9.33e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 3.02e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 9.87e-4 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-5 | 4.83e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-5 | 3.09e-3 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 5.00e-2 | 2.90e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-2 | 3.84e-2 |
COVID-19 | COVID-19 UKBB EUR tested (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 5,455 | 1.00e-3 | 3.83e-3 |
COVID-19 | COVID-19 UKBB EUR (Mixed Population) | ETC | GRASP | 2020 | 1,291 | 457,959 | 5.00e-2 | 4.13e-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.