Cell type-associated traits map for the [FetalMuscle_Fetal mesenchymal 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 [FetalMuscle_Fetal mesenchymal 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) |
BIP | Bipolar Disorder | MTC | Psychiatric-Genomics-Consortium | 2012 | 7481 | 9250 | 1.00e-5 | 2.98e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 1.00e-2 | 4.49e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-3 | 3.34e-2 |
BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 1.00e-4 | 4.01e-3 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 3.37e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 5.00e-2 | 2.02e-2 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 1.00e-2 | 3.46e-2 |
Diarrhoeal Disease | Diarrhea Age 1 | MTC | Bustamante | 2016 | 2693 | 3065 | 1.00e-3 | 4.91e-2 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 3640 | 1.00e-2 | 4.74e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 1.78e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7618 | 1.00e-2 | 4.52e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 1.00e-2 | 4.52e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 1.00e-2 | 3.51e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Women | MTC | Chu | 2017 | NA | 5699 | 1.00e-3 | 4.37e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-3 | 2.62e-2 |
Facial Shape | Mod11 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.72e-3 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.08e-2 |
Facial Shape | Mod14 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.22e-2 |
Facial Shape | Mod22 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.47e-2 |
Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.42e-3 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.98e-2 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.65e-2 |
Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.80e-2 |
Facial Shape | Mod59 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.11e-2 |
Facial Shape | Mod7 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.80e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 1.00e-3 | 1.68e-2 |
Gestational Weight Gain | Early Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 7704 | 1.00e-2 | 7.17e-3 |
Insulin Sensitivity Index | Model 3 | MTC | Walford | 2016 | NA | 16753 | 5.00e-2 | 2.36e-2 |
Kidney Function | Serum Cystatine | MTC | Gorski | 2017 | NA | 45530 | 1.00e-4 | 4.91e-2 |
TB LM | Total body lean mass | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 3.15e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 4.14e-2 |
Pubertal Anthropometrics | Late Pubertal Height Increase Females | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 4.37e-2 |
Sleep Duration | Undersleeper | MTC | Jones | 2016 | NA | 110188 | 5.00e-2 | 3.01e-2 |
Waist Format 1 | Waist Hip Ratio Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-3 | 4.64e-2 |
Sleep | Sleep duration variability | ETC | Jones | 2019 | NA | 84810 | 5.00e-2 | 3.90e-2 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-3 | 3.81e-2 |
Parasubiculum volume | Parasubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 4.74e-2 |
Hippocampal volume | Hippocampal subfield CA1 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 8.49e-3 |
Subiculum volume | Subiculum volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.71e-2 |
Subiculum volume | Subiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.81e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 2.30e-2 |
AUD | Alcohol-Use-Disorder | ETC | Kranzler | 2019 | 34658 | 167346 | 1.00e-4 | 4.64e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT2) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 5.67e-3 |
Temporal lobe volume | Temporal lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 1.00e-4 | 2.98e-2 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 2.38e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 1.93e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 1.11e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-3 | 3.98e-3 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-3 | 2.31e-2 |
CCL19 | CCL19 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.62e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 1.50e-2 |
CCL24 | CCL24 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.69e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.80e-2 |
MHC class I | MHC class I polypeptide-related sequence A levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.21e-2 |
CD40 | CD40 ligand levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.59e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.07e-2 |
CXCL5 | CXCL5 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.31e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 4.08e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.60e-2 |
Kallikrein11 | kallikrein-11 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.17e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.91e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.05e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 4.44e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 2.24e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.45e-2 |
IL 17 | interleukin 17 receptor B levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 4.55e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.17e-2 |
IL 12 | interleukin 12 receptor subunit beta-1 levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.77e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 2.15e-2 |
Endothelial | vascular endothelial growth factor D levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 3.33e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 4.50e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-3 | 3.58e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-4 | 3.43e-2 |
E-selectin | E-selectin levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 1.65e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.01e-2 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-2 | 8.19e-4 |
Melanoma | melanoma-derived growth regulatory protein levels | ETC | Enroth S | 2014 | NA | 653 | 1.00e-5 | 2.31e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 4.39e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 3.20e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 4.18e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 3.45e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 3.09e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-3 | 4.46e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-5 | 2.22e-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.