Cell type-associated traits map for the [AdultTransverseColon_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 [AdultTransverseColon_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) |
---|---|---|---|---|---|---|---|---|
Breast Cancer | Breast Cancer | MTC | Hunter | 2007 | NA | 1145 | 1.00e-2 | 2.61e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 5.00e-2 | 4.51e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-2 | 2.26e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 5.00e-2 | 4.22e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 3.85e-2 |
Insomnia | Insomnia | MTC | Hammerschlag | 2017 | 12863 | 40776 | 5.00e-2 | 4.50e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 7.15e-4 |
Neuroticism | Neuroticism | MTC | Luciano | 2017 | NA | 329821 | 5.00e-2 | 7.27e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 5.00e-2 | 2.43e-3 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 5.00e-2 | 1.43e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-2 | 1.99e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-3 | 4.03e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 5.00e-2 | 2.26e-2 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 3.91e-3 |
Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 1.00e-2 | 4.66e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-4 | 4.36e-2 |
Anthropometric Extremes | Extreme Waist Hip Ratio | MTC | Berndt | 2013 | 4774 | 5481 | 1.00e-2 | 4.80e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 1.00e-4 | 3.19e-2 |
Anthropometric Extremes | Overweight | MTC | Berndt | 2013 | 93015 | 65840 | 1.00e-5 | 4.36e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-4 | 1.22e-2 |
Anthropometrics Sex Stratified | Body Mass Index Men | MTC | Randall | 2013 | 60586 | 60856 | 1.00e-5 | 4.36e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 3.45e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 45192 | 5.00e-2 | 2.03e-2 |
Anthropometrics Sex Stratified | Waist Circumference Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 3.45e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 2.50e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 8.42e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Women | MTC | Randall | 2013 | NA | 42969 | 5.00e-2 | 6.12e-3 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 5.00e-2 | 3.33e-2 |
Birth Weight | Birth Weight European | ETC | Horikoshi | 2016 | NA | 133903 | 5.00e-2 | 3.19e-2 |
Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.26e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.71e-2 |
Blood Cells | White Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 1.81e-2 |
BMI Age Stratified | BMI Men Age Over 50 | MTC | Winkler | 2015 | NA | 90988 | 1.00e-5 | 3.45e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 2.77e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.61e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 2.97e-2 |
BMI Physical Activity Interaction | BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-2 | 4.18e-2 |
BMI Physical Activity Interaction | BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 5.36e-3 |
BMI Physical Activity Interaction | BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 4.41e-2 |
BMI Physical Activity Interaction | BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.71e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.27e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 3.66e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.01e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.48e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 4.34e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.62e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.66e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 3.72e-2 |
BMI Smoking Adjusted | BMI Smoking Adjusted Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 2.89e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density Under 15 | MTC | Medina-Gomez | 2018 | NA | 11807 | 5.00e-2 | 3.42e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density Under 15 | MTC | Medina-Gomez | 2018 | NA | 11807 | 1.00e-2 | 9.62e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-3 | 3.11e-2 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 5.00e-2 | 3.54e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 3.75e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-3 | 4.36e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-2 | 1.88e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-3 | 2.18e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 5.00e-2 | 3.76e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-2 | 4.65e-2 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 5.44e-3 |
Facial Shape | Mod22 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.33e-2 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.68e-3 |
Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.41e-2 |
Facial Shape | Mod3 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.90e-2 |
Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.26e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.56e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.88e-3 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.96e-3 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.12e-2 |
Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.96e-2 |
Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.93e-2 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.76e-3 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.45e-3 |
Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.76e-2 |
Facial Shape | Mod49 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.88e-2 |
Facial Shape | Mod57 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.84e-2 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 6.71e-3 |
Facial Shape | Mod58 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 7.52e-3 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 1.00e-2 | 1.95e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 1.20e-2 |
Glycemic Traits | Fasting Insulin | ETC | Dupuis | 2010 | NA | 38238 | 5.00e-2 | 3.36e-2 |
Glycemic Traits | HOMA IR | MTC | Dupuis | 2010 | NA | 37037 | 5.00e-2 | 2.66e-2 |
Inflammatory Bowel Disease European | Crohn's disease | ETC | Liu | 2015 | 5956 | 14927 | 1.00e-2 | 3.05e-2 |
Insulin Secretion | Peak Insulin Response | MTC | Wood | 2017 | NA | 2159 | 5.00e-2 | 6.00e-3 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 4.30e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 4.03e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 1.00e-2 | 4.99e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 4.43e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 5.00e-2 | 2.51e-3 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 5.00e-2 | 3.01e-2 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 1.00e-2 | 2.73e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 4.51e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 5.00e-2 | 1.64e-3 |
Longevity | Age 85 Or Greater | MTC | Deelen | 2014 | 7729 | 16121 | 1.00e-2 | 1.06e-2 |
Longevity | Age 90 Or Greater | MTC | Deelen | 2014 | 5406 | 15112 | 1.00e-2 | 3.80e-2 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.07e-2 |
Lymphocyte Subsets | CD3 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 2.39e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 3.48e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 2.89e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-4 | 3.96e-2 |
Personality Big5 | Openness To Experience | MTC | De-Moor | 2012 | NA | 17375 | 5.00e-2 | 3.33e-2 |
Personality Big5 | Openness To Experience | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-2 | 1.91e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 2.63e-3 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 6.88e-3 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 5.00e-2 | 2.89e-2 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 5.00e-2 | 3.67e-2 |
Smoking | Log Age Onset Smoking | MTC | Furberg | 2010 | NA | 22438 | 5.00e-2 | 8.08e-3 |
Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.42e-2 |
Statin Efficacy | Delta TC With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.83e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.42e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 5.75e-3 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 5.00e-2 | 3.04e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 3.23e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 2.52e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 4.32e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 2.61e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 5.00e-2 | 1.14e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 3.74e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 3.57e-2 |
Waist Format 2 | Waist Hip Ratio Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 6.21e-3 |
BIP | Bipolar disorder | ETC | Stahl | 2018 | 20352 | 31358 | 5.00e-2 | 9.45e-3 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 5.00e-2 | 1.41e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-2 | 4.44e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-3 | 2.21e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 2.31e-2 |
MCHC | Mean Corpuscular Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 4.16e-2 |
EOC | Epithelial Ovarian Cancer | ETC | Phelan | 2017 | 25509 | 40941 | 5.00e-2 | 1.07e-2 |
Glycine level | Glycine levels, both male and female | ETC | Jia | 2019 | NA | 30118 | 5.00e-2 | 1.75e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 4.75e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-2 | 3.91e-2 |
Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 5.01e-3 |
Sleep | Sleep time to least active 5 hours | ETC | Jones | 2019 | NA | 85205 | 5.00e-2 | 1.52e-2 |
Neuroticism | General factor of neuroticism | ETC | Hill | 2019 | NA | 270059 | 5.00e-2 | 4.72e-3 |
Glycine level | Glycine level | ETC | Wittemans | 2019 | NA | 80003 | 5.00e-2 | 3.37e-2 |
Obesity | Obese children vs thin adults | ETC | McKay | 2019 | 1471 | 1456 | 5.00e-2 | 3.34e-2 |
Body fat distribution | Body fat distribution-arm-fat-ratio-female | ETC | Andersen | 2019 | NA | 116138 | 1.00e-3 | 4.78e-2 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 5.00e-2 | 1.03e-2 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-2 | 2.30e-2 |
Smoking | Smoking cessation | ETC | Liua | 2019 | NA | 547219 | 5.00e-2 | 1.09e-3 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 5.00e-2 | 1.47e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-2 | 2.95e-2 |
Smoking | Age of smoking initiation | ETC | Liua | 2019 | NA | 341427 | 1.00e-4 | 1.69e-2 |
Postburn scar height | Postburn scar height | ETC | Wallace | 2018 | NA | 665 | 5.00e-2 | 2.68e-2 |
Asthma | Asthma, moderate or severe | ETC | Shrine | 2018 | 5414 | 21471 | 1.00e-3 | 9.60e-3 |
Sedentary behaviour duration | Sedentary behaviour duration | ETC | Doherty | 2018 | NA | 91105 | 5.00e-2 | 2.26e-2 |
ACR | Urinary albumin to creatinine ratio | ETC | Zanetti | 2019 | NA | 218759 | 1.00e-2 | 4.67e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-4 | 4.22e-2 |
Medication use | Medication use (diuretics) | ETC | Wu Y | 2019 | 34,453 | 194,633 | 1.00e-5 | 2.17e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.36e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-3 | 8.51e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-4 | 1.33e-3 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 2.66e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-5 | 2.77e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 3.76e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.29e-2 |
Nonalcoholic Liver disease | Non-alcoholic fatty liver disease activity score | ETC | Namjou B | 2019 | NA | 235 | 5.00e-2 | 3.53e-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 | 3.60e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 5.00e-2 | 2.53e-2 |
Urinary sodium excretion | Urinary sodium excretion | ETC | Pazoki R | 2019 | NA | 446,237 | 1.00e-2 | 3.16e-2 |
Urinary potassium excretion | Urinary potassium excretion | ETC | Pazoki R | 2019 | NA | 446,230 | 5.00e-2 | 7.30e-3 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 1.00e-2 | 4.20e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-2 | 3.77e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-5 | 4.36e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 3.15e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 2.19e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 316,772 | 1.00e-3 | 2.07e-2 |
Heavy menstrual bleeding | Heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 9,813 | 210,946 | 1.00e-2 | 2.18e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-2 | 2.04e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 4.36e-2 |
Left ventricular | Left ventricular end-diastolic volume | ETC | Aung N | 2019 | NA | 16,920 | 5.00e-2 | 3.77e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 2.88e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 1.03e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 4.90e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 5.00e-2 | 3.60e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-2 | 8.77e-3 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 5.00e-2 | 2.79e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-2 | 4.79e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis II) | ETC | Ellinghaus D | 2020 | 1610 | 2180 | 5.00e-2 | 3.51e-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.