Cell type-associated traits map for the [AdultEsophagus_Basal 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 [AdultEsophagus_Basal 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) |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-2 | 4.53e-2 |
BMI | Body Mass Index | MTC | Yang | 2012 | NA | 133154 | 1.00e-3 | 3.87e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 8.59e-3 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 1.00e-2 | 9.19e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 5.00e-2 | 9.16e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 1.00e-2 | 5.28e-3 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-2 | 2.71e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-3 | 4.28e-2 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-4 | 1.57e-3 |
Vitamin D | Vitamin D | MTC | Manousaki | 2017 | NA | 42274 | 1.00e-5 | 1.88e-2 |
Albuminuria | Urinary Albumin to Creatinine Ratio | MTC | Teumer | 2016 | NA | 54450 | 1.00e-3 | 1.93e-2 |
Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 1.48e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 2.97e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 1 | MTC | Bustamante | 2016 | 1339 | 5064 | 5.00e-2 | 4.61e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 2.20e-2 |
Estimated Glomerular Filtration Rate | Chronic Kidney Disease Without Diabetes | MTC | Pattaro | 2016 | NA | 118448 | 1.00e-3 | 2.99e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.82e-4 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 9.19e-3 |
Facial Shape | Mod47 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.72e-2 |
Facial Shape | Mod49 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.90e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.68e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.29e-2 |
Facial Shape | Mod57 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.60e-2 |
Facial Shape | Mod9 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.00e-2 |
Insulin Secretion | Peak Insulin Response | MTC | Wood | 2017 | NA | 2159 | 1.00e-2 | 2.08e-2 |
Insulin Secretion | Peak Insulin Response Adjusted For BMI And Insulin Sensitivity | MTC | Wood | 2017 | NA | 2159 | 1.00e-2 | 3.36e-2 |
Insulin Secretion | Peak Insulin Response Adjusted For Insulin Sensitivity | MTC | Wood | 2017 | NA | 2159 | 1.00e-2 | 8.36e-3 |
Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 3.92e-2 |
Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 4.34e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 5.00e-2 | 4.71e-2 |
Leptin | Leptin Not Adjusted For BMI | ETC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 6.96e-3 |
Lymphocyte Subsets | CD19 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 4.71e-2 |
Smoking | Current Vs Former Discrete | MTC | Furberg | 2010 | 20619 | 15226 | 1.00e-2 | 3.57e-2 |
Glycine level | Glycine levels, both male and female | ETC | Jia | 2019 | NA | 30118 | 5.00e-2 | 4.32e-2 |
Facial attractiveness | Facial attractiveness of males, female raters | ETC | Hu | 2019 | NA | 1792 | 1.00e-2 | 1.53e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 5.00e-2 | 4.39e-2 |
Asthma | Asthma, childhood-onset | ETC | Ferreira | 2019 | 13962 | 300671 | 1.00e-2 | 2.02e-2 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 3.48e-2 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 3.48e-2 |
MI/CF | Meconium ileus in cystic fibrosis | ETC | Gong | 2019 | 1115 | 5655 | 1.00e-2 | 4.50e-2 |
Varicose veins | Varicose veins | ETC | Shadrina AS | 2019 | 10,861 | 397,594 | 5.00e-2 | 4.48e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-5 | 2.47e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-4 | 4.92e-2 |
Blood urea nitrogen levels | Blood urea nitrogen levels | ETC | Wuttke M | 2019 | NA | 243,029 | 1.00e-5 | 2.46e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 5.00e-2 | 1.47e-2 |
Autistic traits score | Autistic traits score (Social and Communication Disorders Checklist) | ETC | Massrali A | 2019 | NA | 5,628 | 1.00e-2 | 4.18e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 5.00e-2 | 2.43e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-2 | 1.46e-4 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-3 | 1.49e-3 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-4 | 2.23e-2 |
Height | Height variance | ETC | Wang H | 2019 | NA | 347,086 | 1.00e-2 | 3.14e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-2 | 2.96e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 1.00e-3 | 4.79e-2 |
BMI at birth | BMI at birth | ETC | Helgeland O | 2019 | NA | 9,286 | 1.00e-4 | 3.40e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 3.20e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-5 | 1.88e-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.