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

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          Abstract

          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 levels. However, eQTLs tend to have significantly reduced effect sizes on protein levels, which suggests that their potential impact on downstream phenotypes is often attenuated or buffered. Additionally, we identified a class of cis QTLs that affect protein abundance with little or no effect on messenger RNA or ribosome levels, which suggests that they may arise from differences in posttranslational regulation.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          American Association for the Advancement of Science (AAAS)
          1095-9203
          0036-8075
          Feb 06 2015
          : 347
          : 6222
          Affiliations
          [1 ] Department of Genetics, Stanford University, Stanford, CA 94305, USA. Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
          [2 ] Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
          [3 ] MS Bioworks, LLC, 3950 Varsity Drive, Ann Arbor, MI 48108, USA.
          [4 ] Department of Genetics, Stanford University, Stanford, CA 94305, USA. Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. Department of Biology, Stanford University, Stanford, CA 94305, USA. pritch@stanford.edu gilad@uchicago.edu.
          [5 ] Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. pritch@stanford.edu gilad@uchicago.edu.
          Article
          NIHMS706680 science.1260793
          10.1126/science.1260793
          4507520
          25657249
          77502087-b534-4d8d-a5fb-46db767ed20b
          Copyright © 2015, American Association for the Advancement of Science.
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