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Genome-wide search for exonic variants affecting translational efficiency.

ABSTRACT: The search for expression quantitative trait loci has traditionally centred entirely on the process of transcription, whereas variants with effects on messenger RNA translation have not been systematically studied. Here we present a high-throughput approach for measuring translational cis-regulation in the human genome. Using ribosomal association as proxy for translational efficiency of polymorphic messenger RNAs, we test the ratio of polysomal/non-polysomal messenger RNA level as a quantitative trait for association with single nucleotide polymorphisms on the same messenger RNA transcript. We identify one important ribosomal distribution effect, from rs1131017 in the 5'-untranslated region of RPS26, that is in high linkage disequilibrium with the 12q13 locus for susceptibility to type 1 diabetes. The effect on translation is confirmed at the protein level by quantitative western blots, both ex vivo and after in vitro translation. Our results are a proof-of-principle that allelic effects on translation can be detected at a transcriptome-wide scale.

SUBMITTER: Li Q

PROVIDER: S-EPMC3749366 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Genome-wide search for exonic variants affecting translational efficiency.

Li Quan Q Makri Angeliki A Lu Yang Y Marchand Luc L Grabs Rosemarie R Rousseau Marylene M Ounissi-Benkalha Houria H Pelletier Jerry J Robert Francis F Harmsen Eef E Hudson Thomas J TJ Pastinen Tomi T Polychronakos Constantin C Qu Hui-Qi HQ

Nature communications 20130101

The search for expression quantitative trait loci has traditionally centred entirely on the process of transcription, whereas variants with effects on messenger RNA translation have not been systematically studied. Here we present a high-throughput approach for measuring translational cis-regulation in the human genome. Using ribosomal association as proxy for translational efficiency of polymorphic messenger RNAs, we test the ratio of polysomal/non-polysomal messenger RNA level as a quantitativ ...[more]

PMID: 23900168

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Project description:Interactions among genomic loci have often been overlooked in genome-wide association studies, revealing the combinatorial effects of variants on phenotype or disease manifestation. Unexplained genetic variance, interactions amongst causal genes of small effects, and biological pathways could be identified using a network biology approach. The main objective of this study was to determine the genome-wide epistatic variants affecting feed efficiency traits [feed conversion ratio (FCR) and residual feed intake (RFI)] based on weighted interaction SNP hub (WISH-R) method. Herein, we detected highly interconnected epistatic SNP modules, pathways, and potential biomarkers for the FCR and RFI in Duroc and Landrace purebreds considering the whole population, and separately for low and high feed efficient groups. Highly interacting SNP modules in Duroc (1,247 SNPs) and Landrace (1,215 SNPs) across the population and for low feed efficient (Duroc - 80 SNPs, Landrace - 146 SNPs) and high feed efficient group (Duroc - 198 SNPs, Landrace - 232 SNPs) for FCR and RFI were identified. Gene and pathway analyses identified ABL1, MAP3K4, MAP3K5, SEMA6A, KITLG, and KAT2B from chromosomes 1, 2, 5, and 13 underlying ErbB, Ras, Rap1, thyroid hormone, axon guidance pathways in Duroc. GABBR2, GNA12, and PRKCG genes from chromosomes 1, 3, and 6 pointed towards thyroid hormone, cGMP-PKG and cAMP pathways in Landrace. From Duroc low feed efficient group, the TPK1 gene was found involved with thiamine metabolism, whereas PARD6G, DLG2, CRB1 were involved with the hippo signaling pathway in high feed efficient group. PLOD1 and SETD7 genes were involved with lysine degradation in low feed efficient group in Landrace, while high feed efficient group pointed to genes underpinning valine, leucine, isoleucine degradation, and fatty acid elongation. Some SNPs and genes identified are known for their association with feed efficiency, others are novel and potentially provide new avenues for further research. Further validation of epistatic SNPs and genes identified here in a larger cohort would help to establish a framework for modelling epistatic variance in future methods of genomic prediction, increasing the accuracy of estimated genetic merit for FE and helping the pig breeding industry.

Dataset Information

Genome-wide search for exonic variants affecting translational efficiency.

Publications

Genome-wide search for exonic variants affecting translational efficiency.

Similar Datasets

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