Cell type-associated traits map for the [AdultIleum_T 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 [AdultIleum_T 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 | 5.00e-2 | 4.75e-2 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-4 | 4.95e-3 |
Allergies | Allergies | MTC | Ferreira | 2017 | NA | 180709 | 1.00e-5 | 2.49e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 5.00e-2 | 2.86e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-2 | 3.40e-2 |
Asthma | Asthma | MTC | Demenais | 2017 | 19954 | 107715 | 1.00e-3 | 2.59e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 1.00e-2 | 3.08e-3 |
Obsessive Compulsive Disorder | Obsessive Compulsive Disorder | ETC | Arnold | 2017 | 2688 | 7037 | 1.00e-3 | 3.39e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 1.00e-3 | 1.19e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-3 | 2.48e-2 |
Facial Shape | Mod37 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.00e-2 |
Facial Shape | Mod55 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.09e-2 |
Ischaemic Stroke | Large Vessel Disease | MTC | Traylor | 2012 | 1877 | 12285 | 5.00e-2 | 1.60e-2 |
Leptin | Leptin Adjusted For BMI | MTC | Kilpelainen | 2016 | NA | 32161 | 1.00e-2 | 4.74e-2 |
Lymphocyte Subsets | CD4 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 1.77e-2 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 5.00e-2 | 3.33e-2 |
Pubertal Anthropometrics | Height 10 Year Females And 12 Year Males | MTC | Cousminer | 2013 | NA | 14040 | 1.00e-2 | 4.34e-2 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 5.00e-2 | 9.53e-5 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-2 | 6.76e-4 |
T1D | Type 1 Diabetes | ETC | Bradfield | 2011 | 9934 | 16956 | 1.00e-3 | 7.62e-3 |
PBC | Primary Biliary Cirrhosis | ETC | Cordell | 2015 | 2764 | 10475 | 5.00e-2 | 4.57e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 5.00e-2 | 2.82e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-2 | 3.49e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 4.37e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-4 | 3.50e-3 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-5 | 1.25e-2 |
EOC | Epithelial Ovarian Cancer | ETC | Phelan | 2017 | 25509 | 40941 | 1.00e-5 | 4.36e-2 |
AUD | Alcohol Dependency | ETC | Walters | 2018 | 11569 | 34999 | 5.00e-2 | 3.04e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-2 | 2.68e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-3 | 1.05e-2 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-4 | 9.86e-3 |
MS | Multiple Sclerosis | ETC | Patsopoulos | 2017 | 14802 | 26703 | 1.00e-5 | 5.65e-3 |
Asthma | Asthma, adult-onset | ETC | Ferreira | 2019 | 26582 | 300671 | 5.00e-2 | 4.51e-2 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 1.00e-2 | 2.66e-2 |
BMI | Normal body mass index vs thin control, adult vs thin adult | ETC | McKay | 2019 | 6460 | 1471 | 1.00e-3 | 1.37e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 5.00e-2 | 9.02e-3 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-2 | 1.26e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-3 | 4.07e-2 |
Vitiligo | Vitiligo late onset | ETC | Jin | 2019 | 1467 | 19156 | 1.00e-4 | 3.54e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 1.55e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-2 | 1.17e-2 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-3 | 5.47e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-4 | 4.15e-4 |
Medication use | Medication use (thyroid preparations) | ETC | Wu Y | 2019 | 24,832 | 280,750 | 1.00e-5 | 4.92e-4 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 1.00e-3 | 3.01e-2 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-4 | 3.49e-3 |
Medication use | Medication use (glucocorticoids) | ETC | Wu Y | 2019 | 17,352 | 188,348 | 1.00e-5 | 2.23e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 1.00e-2 | 3.37e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 1.21e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 9.39e-3 |
Periodontal disease | Periodontal disease related phenotype (PCT6) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 1.79e-3 |
same-sex sexual behaviour | same-sex sexual behaviour | ETC | Ganna A | 2019 | NA | 408,995 | 5.00e-2 | 4.93e-2 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 4.12e-3 |
Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-5 | 4.74e-2 |
Asthma | Asthma (childhood onset) | ETC | Zhu Z | 2019 | 9,676 | 347,481 | 1.00e-5 | 3.94e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 1.00e-2 | 5.72e-3 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 1.00e-3 | 1.77e-2 |
Uterine fibroids | Uterine fibroids | ETC | Gallagher CS | 2019 | 20,406 | 223,918 | 1.00e-4 | 3.74e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 5.00e-2 | 2.80e-2 |
Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis | ETC | Lyons PA | 2019 | 534 | 6,688 | 1.00e-4 | 1.58e-2 |
Optic disc area | Optic disc area | ETC | Bonnemaijer PWM | 2019 | NA | 24,509 | 1.00e-3 | 1.89e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.75e-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.