Please use this identifier to cite or link to this item:
https://doi.org/10.1371/journal.pgen.1005223
| Title: | Cell Specific eQTL Analysis without Sorting Cells | Authors: | Westra H.-J. Arends D. Esko T. Peters M.J. Schurmann C. Schramm K. Kettunen J. Yaghootkar H. Fairfax B.P. Andiappan A.K. Li Y. Fu J. Karjalainen J. Platteel M. Visschedijk M. Weersma R.K. Kasela S. Milani L. Tserel L. Peterson P. Reinmaa E. Hofman A. Uitterlinden A.G. Rivadeneira F. Homuth G. Petersmann A. Lorbeer R. Prokisch H. Meitinger T. Herder C. Roden M. Grallert H. Ripatti S. Perola M. Wood A.R. Melzer D. Ferrucci L. Singleton A.B. Hernandez D.G. Knight J.C. Melchiotti R. Lee B. Poidinger M. Zolezzi F. Larbi A. Wang D.Y. van den Berg L.H. Veldink J.H. Rotzschke O. Makino S. Salomaa V. Strauch K. Völker U. van Meurs J.B.J. Metspalu A. Wijmenga C. Jansen R.C. Franke L. |
Keywords: | caspase recruitment domain protein 15 caspase recruitment domain protein 15 NOD2 protein, human Article cell selection cell specificity cohort analysis controlled study Crohn disease downstream processing gene expression profiling genotype environment interaction lymphocyte neutrophil NOD2 gene quantitative trait locus mapping single nucleotide polymorphism cell line cytology gene expression regulation genetics genome-wide association study human meta analysis metabolism phenotype principal component analysis procedures quantitative trait locus reproducibility single nucleotide polymorphism Cell Line Crohn Disease Gene Expression Regulation Genome-Wide Association Study Humans Lymphocytes Neutrophils Nod2 Signaling Adaptor Protein Phenotype Polymorphism, Single Nucleotide Principal Component Analysis Quantitative Trait Loci Reproducibility of Results |
Issue Date: | 2015 | Publisher: | Public Library of Science | Citation: | Westra H.-J., Arends D., Esko T., Peters M.J., Schurmann C., Schramm K., Kettunen J., Yaghootkar H., Fairfax B.P., Andiappan A.K., Li Y., Fu J., Karjalainen J., Platteel M., Visschedijk M., Weersma R.K., Kasela S., Milani L., Tserel L., Peterson P., Reinmaa E., Hofman A., Uitterlinden A.G., Rivadeneira F., Homuth G., Petersmann A., Lorbeer R., Prokisch H., Meitinger T., Herder C., Roden M., Grallert H., Ripatti S., Perola M., Wood A.R., Melzer D., Ferrucci L., Singleton A.B., Hernandez D.G., Knight J.C., Melchiotti R., Lee B., Poidinger M., Zolezzi F., Larbi A., Wang D.Y., van den Berg L.H., Veldink J.H., Rotzschke O., Makino S., Salomaa V., Strauch K., Völker U., van Meurs J.B.J., Metspalu A., Wijmenga C., Jansen R.C., Franke L. (2015). Cell Specific eQTL Analysis without Sorting Cells. PLoS Genetics 11 (5) : e1005223. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pgen.1005223 | Abstract: | The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-environment interaction (GxE) meta-analysis on data from 5,683 samples to infer the cell type specificity of whole blood cis-eQTLs. We demonstrate that this method is able to predict neutrophil and lymphocyte specific cis-eQTLs and replicate these predictions in independent cell-type specific datasets. Finally, we show that SNPs associated with Crohn’s disease preferentially affect gene expression within neutrophils, including the archetypal NOD2 locus. © 2015, Public Library of Science. All rights reserved. | Source Title: | PLoS Genetics | URI: | https://scholarbank.nus.edu.sg/handle/10635/165392 | ISSN: | 15537390 | DOI: | 10.1371/journal.pgen.1005223 |
| Appears in Collections: | Staff Publications Elements |
Show full item record
Files in This Item:
| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| 10_1371_journal_pgen_1005223.pdf | 1.15 MB | Adobe PDF | OPEN | None | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.