Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index.
Web of Science
AuthorHoggart, CJ; Venturini, G; Mangino, M; Gomez, F; Ascari, G; Zhao, JH; Teumer, A; Winkler, TW; Tšernikova, N; Luan, J; ...
Source TitlePLoS Genetics
PublisherPublic Library of Science (PLoS)
University of Melbourne Author/sSinnott, Richard
AffiliationComputing and Information Systems
Document TypeJournal Article
CitationsHoggart, C. J., Venturini, G., Mangino, M., Gomez, F., Ascari, G., Zhao, J. H., Teumer, A., Winkler, T. W., Tšernikova, N., Luan, J., Mihailov, E., Ehret, G. B., Zhang, W., Lamparter, D., Esko, T., Macé, A., Rüeger, S., Bochud, P. -Y., Barcella, M. ,... Kutalik, Z. (2014). Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index.. PLoS Genet, 10 (7), pp.e1004508-. https://doi.org/10.1371/journal.pgen.1004508.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117451
The phenotypic effect of some single nucleotide polymorphisms (SNPs) depends on their parental origin. We present a novel approach to detect parent-of-origin effects (POEs) in genome-wide genotype data of unrelated individuals. The method exploits increased phenotypic variance in the heterozygous genotype group relative to the homozygous groups. We applied the method to >56,000 unrelated individuals to search for POEs influencing body mass index (BMI). Six lead SNPs were carried forward for replication in five family-based studies (of ∼4,000 trios). Two SNPs replicated: the paternal rs2471083-C allele (located near the imprinted KCNK9 gene) and the paternal rs3091869-T allele (located near the SLC2A10 gene) increased BMI equally (beta = 0.11 (SD), P<0.0027) compared to the respective maternal alleles. Real-time PCR experiments of lymphoblastoid cell lines from the CEPH families showed that expression of both genes was dependent on parental origin of the SNPs alleles (P<0.01). Our scheme opens new opportunities to exploit GWAS data of unrelated individuals to identify POEs and demonstrates that they play an important role in adult obesity.
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