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Impact of regulatory variation from RNA to protein

ABSTRACT: Data from ProteomeXchange, PXD ID: PXD001406. Experiment: GM18519, MSB14195, file: GM18519_MSB14195_16.mzml. Published as part of Science 2014 Dec. 18 . From the Abstract: {{i}} ... we mapped genetic variants that are associated with eQTLs, ribosome occupancy (rQTLs), or protein abundance (pQTLs). We found that most QTLs are associated with transcript expression levels, with consequent effects on ribosome and protein levels. However, eQTLs tend to have significantly reduced effect sizes on protein levels, suggesting that their potential impact on downstream phenotypes is often attenuated or buffered ... {{/i}}

INSTRUMENT(S): Instrument

ORGANISM(S): Homo_sapiens_viruses, Human

DISEASE(S): Not Available

SUBMITTER: Battle A, et al.  

PROVIDER: GPM11210033257 | GPMDB |

REPOSITORIES: GPMDB

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Publications

Genomic variation. Impact of regulatory variation from RNA to protein.

Battle Alexis A   Khan Zia Z   Wang Sidney H SH   Mitrano Amy A   Ford Michael J MJ   Pritchard Jonathan K JK   Gilad Yoav Y  

Science (New York, N.Y.) 20141218 6222

The phenotypic consequences of expression quantitative trait loci (eQTLs) are presumably due to their effects on protein expression levels. Yet the impact of genetic variation, including eQTLs, on protein levels remains poorly understood. To address this, we mapped genetic variants that are associated with eQTLs, ribosome occupancy (rQTLs), or protein abundance (pQTLs). We found that most QTLs are associated with transcript expression levels, with consequent effects on ribosome and protein level  ...[more]