Cell type-associated traits map for the [NeonatalAdrenalGland_Endothelial cell][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 [NeonatalAdrenalGland_Endothelial cell]. 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 | 8.64e-3 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-2 | 4.51e-2 |
Amyotrophic Lateral Sclerosis | Amyotrophic Lateral Sclerosis | MTC | van-Rheenen | 2016 | 12577 | 23475 | 1.00e-3 | 4.29e-2 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-2 | 7.41e-4 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 3.64e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 6.29e-3 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-2 | 3.78e-4 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 1.00e-3 | 5.88e-3 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 5.00e-2 | 1.32e-3 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-2 | 1.29e-2 |
CAD | Coronary Artery Disease | MTC | Nelson | 2017 | 18467 | 45264 | 1.00e-3 | 2.49e-2 |
CAD | Coronary Artery Disease | MTC | Schunkert | 2011 | 22233 | 64762 | 1.00e-2 | 4.95e-2 |
Extraversion | Extraversion | MTC | De-Moor | 2012 | NA | 17375 | 1.00e-3 | 2.29e-2 |
Extraversion | Extraversion | MTC | van-den-Berg | 2016 | NA | 63030 | 1.00e-3 | 2.29e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-3 | 1.04e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 1.89e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 5.00e-2 | 3.65e-2 |
UC | Ulcerative Colitis | MTC | Anderson | 2011 | 6687 | 19718 | 1.00e-2 | 1.49e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio In Diabetics | MTC | Teumer | 2016 | NA | 5825 | 1.00e-2 | 4.61e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-3 | 4.35e-2 |
Anthropometric Extremes | Extreme Waist Hip Ratio | MTC | Berndt | 2013 | 4774 | 5481 | 1.00e-2 | 2.05e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 4.52e-2 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 3.12e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 4.58e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.59e-3 |
Blood Cells | Lymphocyte Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 2.96e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 2.47e-2 |
Blood Cells | Red Blood Cell Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 5.62e-3 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 5.00e-2 | 1.37e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 3.22e-2 |
Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.98e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 5.00e-2 | 2.57e-3 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Men Under 50 | MTC | Winkler | 2015 | NA | 43776 | 1.00e-2 | 1.77e-3 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 1.72e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 3.14e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 4.36e-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 | 4.37e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-3 | 3.70e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 9.91e-3 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.61e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.65e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 3.51e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-2 | 3.80e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-4 | 4.35e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 2.48e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-2 | 1.95e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-3 | 6.50e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 5.00e-2 | 2.36e-2 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 3.86e-5 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 1.25e-4 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-4 | 4.10e-2 |
Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 7.94e-3 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 5.00e-2 | 1.26e-5 |
Coronary Artery Disease | Myocardial Infarction Additive Model | MTC | Nikpay | 2015 | 27509 | 99121 | 1.00e-2 | 3.01e-3 |
Diarrhoeal Disease | Diarrhea Age 2 | MTC | Bustamante | 2016 | 2855 | 2753 | 1.00e-2 | 2.06e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 3684 | 1.00e-2 | 2.68e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.70e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 3.08e-3 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 5.00e-2 | 1.62e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 3.54e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 2.24e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 1.00e-2 | 1.59e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 3.26e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 8.38e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 1.00e-2 | 3.33e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Adjusted For BMI All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 1.38e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 7.36e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 2.38e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 5.00e-2 | 2.22e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7431 | 1.00e-2 | 2.82e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease With Diabetes | MTC | Pattaro | 2016 | NA | 11522 | 5.00e-2 | 2.38e-2 |
Estimated Glomerular Filtration Rate | Cystatin C | MTC | Pattaro | 2016 | NA | 32834 | 5.00e-2 | 1.94e-2 |
Facial Shape | Mod11 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.21e-2 |
Facial Shape | Mod13 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.99e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.37e-2 |
Facial Shape | Mod17 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.41e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.01e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.65e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.96e-4 |
Facial Shape | Mod35 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.48e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.44e-2 |
Facial Shape | Mod54 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.16e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 6.03e-3 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 5.00e-2 | 4.74e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 1.00e-3 | 2.57e-2 |
Gestational Weight Gain | Total Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 16434 | 5.00e-2 | 4.98e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 2.30e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 1.00e-2 | 3.93e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 5.00e-2 | 9.32e-3 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-2 | 5.29e-4 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 1.25e-3 |
Lipoprotein Concentrations | Triglycerides | MTC | Kathiresan | 2009 | NA | 19840 | 5.00e-2 | 5.90e-3 |
Loneliness | Loneliness | MTC | Gao | 2017 | NA | 6924 | 1.00e-3 | 8.44e-3 |
Pubertal Anthropometrics | Height 10 Year Females | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 4.21e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 4.96e-3 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 5.00e-2 | 1.15e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-2 | 2.89e-3 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 5.00e-2 | 1.97e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 5.00e-2 | 2.10e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 1.00e-2 | 7.38e-3 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 5.00e-2 | 6.86e-4 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-2 | 1.45e-2 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 5.00e-2 | 6.24e-4 |
Stroke (ischemic) | Large Artery Stroke | MTC | Traylor | 2017 | 2167 | 62004 | 1.00e-2 | 1.65e-3 |
Tanner Stage | Tanner Stage All | MTC | Cousminer | 2014 | NA | 9913 | 1.00e-2 | 4.11e-2 |
Tanner Stage | Tanner Stage Females | MTC | Cousminer | 2014 | NA | 6144 | 1.00e-2 | 3.26e-2 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Scott | 2017 | 26676 | 132532 | 1.00e-4 | 4.27e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 7.69e-3 |
PAN | Pancreatic Cancer | ETC | Amundadottir | 2009 | 1771 | 1805 | 1.00e-2 | 2.02e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 5.00e-2 | 1.45e-5 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-2 | 1.05e-2 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-3 | 1.14e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-4 | 7.41e-3 |
RHR | CAD Resting Heart Rate | ETC | Eppinga | 2016 | NA | 265046 | 1.00e-5 | 8.79e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 5.00e-2 | 1.05e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 9.91e-4 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 3.23e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 1.24e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 3.03e-2 |
Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-4 | 3.75e-2 |
Parkinsons | Parkinsons disease, age of onset | ETC | Blauwendraat | 2019 | NA | 17996 | 5.00e-2 | 2.98e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 7.31e-4 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 5.00e-2 | 8.09e-3 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-2 | 3.24e-2 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.71e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 2.30e-2 |
Medication use | Medication use (calcium channel blockers) | ETC | Wu Y | 2019 | 31,904 | 172,474 | 5.00e-2 | 4.58e-2 |
Medication use | Medication use (agents acting on the renin-angiotensin system) | ETC | Wu Y | 2019 | 62,752 | 174,778 | 1.00e-2 | 1.25e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 2.53e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-4 | 2.44e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 1.00e-5 | 1.91e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 4.36e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT3) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.90e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 2.95e-3 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 3.25e-2 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-3 | 1.32e-2 |
Birth | Post-term birth | ETC | Liu X | 2019 | 7,888 | 60,148 | 1.00e-3 | 2.97e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 2.27e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 1.85e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-2 | 6.56e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-3 | 4.21e-7 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 1.49e-7 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-5 | 1.10e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 5.00e-2 | 1.27e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 2.74e-4 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-3 | 1.56e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 7.37e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 4.69e-2 |
Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-2 | 7.66e-3 |
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-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-4 | 8.54e-3 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-3 | 6.38e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-4 | 3.46e-5 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 694,649 | 1.00e-5 | 1.04e-7 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-4 | 2.87e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 1.00e-3 | 1.35e-2 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-2 | 9.99e-3 |
Systemic sclerosis | Systemic sclerosis | ETC | Lopez-Isac E | 2019 | 9,095 | 17,584 | 1.00e-3 | 4.84e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 1.35e-2 |
BMI by age | BMI at 8 months old | ETC | Helgeland O | 2019 | NA | 7,197 | 5.00e-2 | 4.00e-2 |
BMI by age | BMI at 3 years old | ETC | Helgeland O | 2019 | NA | 5,069 | 5.00e-2 | 3.03e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 5.00e-2 | 7.91e-3 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-2 | 2.73e-2 |
Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-3 | 2.29e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-3 | 2.69e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.36e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 2.85e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 8.90e-5 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 5.36e-5 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 1.53e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 4.99e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-4 | 4.62e-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.