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The impact of the Turkish population variome on the genomic architecture of rare disease traits

dc.contributor.authorCoban-Akdemir, Zeynep
dc.contributor.authorSong, Xiaofei
dc.contributor.authorCeballos, Francisco C.
dc.contributor.authorPehlivan, Davut
dc.contributor.authorKaraca, Ender
dc.contributor.authorBayram, Yavuz
dc.contributor.authorMitani, Tadahiro
dc.contributor.authorGambin, Tomasz
dc.contributor.authorBozkurt-Yozgatli, Tugce
dc.contributor.authorJhangiani, Shalini N.
dc.contributor.authorMuzny, Donna M.
dc.contributor.authorLewis, Richard A.
dc.contributor.authorLiu, Pengfei
dc.contributor.authorBoerwinkle, Eric
dc.contributor.authorHamosh, Ada
dc.contributor.authorGibbs, Richard A.
dc.contributor.authorSutton, V. Reid
dc.contributor.authorSobreira, Nara
dc.contributor.authorCarvalho, Claudia M. B.
dc.contributor.authorShaw, Chad A.
dc.contributor.authorPosey, Jennifer E.
dc.contributor.authorValle, David
dc.contributor.authorLupski, James R.
dc.date.accessioned2026-11-05T11:05:31Z
dc.date.issued2024
dc.description.abstractPurpose: The variome of the Turkish (TK) population, a population with a considerable history of admixture and consanguinity, has not been deeply investigated for insights on the genomic architecture of disease. Methods: We generated and analyzed a database of variants derived from exome sequencing data of 773 TK unrelated, clinically affected individuals with various suspected Mendelian disease traits and 643 unaffected relatives. Results: Using uniform manifold approximation and projection, we showed that the TK genomes are more similar to those of Europeans and consist of 2 main subpopulations: clusters 1 and 2 (N = 235 and 1181, respectively), which differ in admixture proportion and variome (https:// turkishvariomedb.shinyapps.io/tvdb/). Furthermore, the higher inbreeding coefficient values observed in the TK affected compared with unaffected individuals correlated with a larger median span of long-sized (>2.64 Mb) runs of homozygosity (ROH) regions (P value = 2.09e-18). We show that long-sized ROHs are more likely to be formed on recently configured haplotypes enriched for rare homozygous deleterious variants in the TK affected compared with TK unaffected individuals (P value = 3.35e-11). Analysis of genotype-phenotype correlations reveals that genes with rare homozygous deleterious variants in long-sized ROHs provide the most comprehensive set of molecular diagnoses for the observed disease traits with a systematic quantitative analysis of Human Phenotype Ontology terms. Conclusion: Our findings support the notion that novel rare variants on newly configured haplotypes arising within the recent past generations of a family or clan contribute significantly to recessive disease traits in the TK population.
dc.description.pages101830
dc.description.sponsorshipThis work was supported in part by the US National Human Genome Research Institute (NHGRI)/National Heart Lung and Blood Institute (NHLBI) grant number UM1HG006542 to the Baylor Hopkins Center for Mendelian Genomics (BHCMG), the US National Human Genome Research Institute (NHGRI) U01HG011758 to the Baylor College of Medicine for the Genomics Research to Elucidate the Genetics of Rare Disease consortium (BCM-GREGoR), the National Institute of Neurological Disorders and Stroke (NINDS) R35NS105078, and the National Human Genome Research Institute U54-HG003273. J.E.P. was supported by NHGRI K08 HG008986.
dc.description.volume2
dc.identifier.doi10.1016/j.gimo.2024.101830
dc.identifier.issn2949-7744
dc.identifier.urihttps://doi.org/10.1016/j.gimo.2024.101830
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/11314
dc.identifier.wosWOS:001914927000003
dc.language.isoen
dc.publisherELSEVIER
dc.relation.fundingUS National Human Genome Research Institute (NHGRI) /National Heart Lung and Blood Institute (NHLBI)
dc.relation.fundingBaylor Hopkins Center for Mendelian Genomics (BHCMG)
dc.relation.fundingUS National Human Genome Research Institute (NHGRI)(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Human Genome Research Institute (NHGRI))
dc.relation.fundingBaylor College of Medicine for the Genomics Research to Elucidate the Genetics of Rare Disease consortium (BCM-GREGoR)
dc.relation.fundingNational Institute of Neurological Disorders and Stroke (NINDS)(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Neurological Disorders & Stroke (NINDS))
dc.relation.fundingNational Human Genome Research Institute(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Human Genome Research Institute (NHGRI))
dc.relation.fundingNHGRI(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Human Genome Research Institute (NHGRI))
dc.relation.fundingUS National Human Genome Research Institute (NHGRI) /National Heart Lung and Blood Institute (NHLBI) [UM1HG006542]
dc.relation.fundingBaylor Hopkins Center for Mendelian Genomics (BHCMG) [U01HG011758]
dc.relation.fundingUS National Human Genome Research Institute (NHGRI) [U01HG011758]
dc.relation.fundingBaylor College of Medicine for the Genomics Research to Elucidate the Genetics of Rare Disease consortium (BCM-GREGoR) [U54-HG003273]
dc.relation.fundingNational Institute of Neurological Disorders and Stroke (NINDS) [R35NS105078]
dc.relation.fundingNational Human Genome Research Institute [U54-HG003273]
dc.relation.fundingNHGRI [K08 HG008986]
dc.relation.hasversion10.1016/j.gimo.2024.101830
dc.relation.ispartofGENETICS IN MEDICINE OPEN
dc.subjectAdmixture
dc.subjectConsanguinity
dc.subjectGenomic architecture of rare disease traits
dc.subjectRuns of homozygosity
dc.subjectTurkish population
dc.subjectPRIMARY CONGENITAL GLAUCOMA
dc.subjectGENETIC-VARIATION
dc.subjectHOMOZYGOSITY
dc.subjectMUTATIONS
dc.subjectRUNS
dc.subjectAUTOZYGOSITY
dc.subjectEVOLUTION
dc.subjectSPECTRUM
dc.subjectVARIANTS
dc.subjectGenetics & Heredity
dc.titleThe impact of the Turkish population variome on the genomic architecture of rare disease traits
dc.typeArticle
oaire.citation.editionEmerging Sources Citation Index (ESCI)
oaire.citation.volume2

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