Cell type-associated traits map for the [FetalStomach_Fetal enterocyte][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 [FetalStomach_Fetal enterocyte]. 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) |
CD | Crohn's disease | MTC | Lee | 2017 | 1762 | 972 | 1.00e-3 | 4.00e-2 |
Cross Disorder Brain | Cross Disorder Brain | MTC | PGC | 2013 | 33332 | 27888 | 5.00e-2 | 3.94e-2 |
Parkinsons | Parkinson's Disease | MTC | Pankratz | 2012 | 4238 | 4239 | 1.00e-2 | 1.61e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 1.00e-4 | 4.91e-2 |
Anthropometric Extremes | Obesity Class 1 | MTC | Berndt | 2013 | 32858 | 65840 | 1.00e-5 | 4.36e-2 |
Anthropometrics Sex Stratified | Waist Circumference Women | MTC | Randall | 2013 | NA | 45192 | 1.00e-3 | 4.08e-2 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-3 | 4.40e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 1.00e-2 | 3.58e-2 |
Autism | Autism Europeans | ETC | Psychiatric-Genomics-Consortium | 2017 | 6197 | 7377 | 1.00e-3 | 1.50e-3 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.42e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 1.96e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.64e-2 |
Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-5 | 3.20e-2 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 5.00e-2 | 3.27e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-2 | 2.22e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 2 | MTC | Bustamante | 2016 | 990 | 5243 | 1.00e-3 | 2.14e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 1.03e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7432 | 1.00e-2 | 3.43e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-2 | 2.84e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-5 | 3.40e-2 |
Estimated Glomerular Filtration Rate | Serum Creatinine | MTC | Pattaro | 2016 | NA | 133413 | 1.00e-3 | 1.39e-2 |
Facial Shape | Mod12 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.74e-2 |
Facial Shape | Mod17 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 3.40e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.05e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.83e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.08e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.13e-2 |
Facial Shape | Mod34 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.97e-2 |
Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.70e-2 |
Facial Shape | Mod8 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.82e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.02e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 5.00e-2 | 4.63e-3 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 1.00e-2 | 2.13e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-2 | 4.17e-2 |
Glycemic Traits BMI Corrected | Fasting Glucose Interaction With BMI | MTC | Manning | 2012 | NA | 58074 | 5.00e-2 | 4.11e-2 |
Insulin Sensitivity Index | Model 2 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 3.24e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-3 | 4.79e-2 |
Kidney Function | eGFR Decline | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 4.89e-3 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-2 | 2.52e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-3 | 2.51e-2 |
Kidney Function | Serum Creatinine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-4 | 1.14e-2 |
Kidney Function | Serum Cystatin | MTC | Kottgen | 2010 | NA | 67093 | 1.00e-3 | 4.79e-2 |
Lymphocyte Subsets | CD56 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.17e-2 |
Lymphocyte Subsets | CD56 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-3 | 1.59e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 5.00e-2 | 1.57e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 1.61e-2 |
Pubertal Anthropometrics | Height 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-3 | 4.91e-2 |
Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 4.89e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 3.59e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-5 | 2.56e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-4 | 2.69e-2 |
HGB | Hemoglobin Concentration | ETC | Astle | 2016 | NA | 173480 | 1.00e-5 | 1.30e-2 |
AUDIT-C | Alcohol-Use-Disorder-Identification-Test-Consumption | ETC | Kranzler | 2019 | NA | 200680 | 1.00e-5 | 5.07e-3 |
Medication use | Medication use (antihypertensives) | ETC | Wu Y | 2019 | 6,431 | 145,949 | 5.00e-2 | 1.82e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-3 | 2.24e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-4 | 5.94e-3 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-5 | 2.51e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 6.04e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-2 | 5.52e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-3 | 1.80e-3 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-4 | 2.08e-2 |
Nonalcoholic Liver disease | Liver fibrosis in non-alcoholic fatty acid liver disease | ETC | Namjou B | 2019 | NA | 235 | 1.00e-2 | 4.14e-2 |
Knee pain | Knee pain | ETC | Meng W | 2019 | 22,204 | 149,312 | 1.00e-5 | 9.96e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 1.12e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-2 | 3.67e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-3 | 2.42e-2 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-4 | 5.97e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-5 | 6.58e-3 |
* 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.