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Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants.

TitleGenetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants.
Publication TypeJournal Article
Year of Publication2014
AuthorsPanoutsopoulou, K., Hatzikotoulas K., Xifara D. Kiara, Colonna V., Farmaki A-E., Ritchie G. R. S., Southam L., Gilly A., Tachmazidou I., Fatumo S., Matchan A., Rayner N. W., Ntalla I., Mezzavilla M., Chen Y., Kiagiadaki C., Zengini E., Mamakou V., Athanasiadis A., Giannakopoulou M., Kariakli V-E., Nsubuga R. N., Karabarinde A., Sandhu M., McVean G., Tyler-Smith C., Tsafantakis E., Karaleftheri M., Xue Y., Dedoussis G., & Zeggini E.
JournalNat Commun
Volume5
Pagination5345
Date Published2014
ISSN2041-1723
KeywordsAdolescent, Blood Cells, Cell Size, Cohort Studies, Gene Frequency, Genetic Drift, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Genotype, Greece, Haplotypes, Humans, Mutation, Missense, Phenotype, Population, Social Isolation
Abstract

Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10(-26)). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10(-36)). We demonstrate significant power gains in detecting medical trait associations.

DOI10.1038/ncomms6345
Alternate JournalNat Commun
PubMed ID25373335
PubMed Central IDPMC4242463
Grant List098051 / / Wellcome Trust / United Kingdom
098051 / / Wellcome Trust / United Kingdom
280559 / / European Research Council / International
U41 HG006941 / HG / NHGRI NIH HHS / United States
U41HG006941 / HG / NHGRI NIH HHS / United States

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