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Hidden protein-altering variants influence diverse human phenotypes.
Hujoel, Margaux L A; Handsaker, Robert E; Sherman, Maxwell A; Kamitaki, Nolan; Barton, Alison R; Mukamel, Ronen E; Terao, Chikashi; McCarroll, Steven A; Loh, Po-Ru.
Afiliação
  • Hujoel MLA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Handsaker RE; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Sherman MA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Kamitaki N; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Barton AR; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard University, Boston, MA, USA.
  • Mukamel RE; Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Terao C; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • McCarroll SA; Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Loh PR; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
bioRxiv ; 2023 Jun 09.
Article em En | MEDLINE | ID: mdl-37333244
Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-altering SVs from UK Biobank whole-exome sequencing data (n=468,570) using haplotype-informed methods capable of detecting sub-exonic SVs and variation within segmental duplications. Incorporating SVs into analyses of rare variants predicted to cause gene loss-of-function (pLoF) identified 100 associations of pLoF variants with 41 quantitative traits. A low-frequency partial deletion of RGL3 exon 6 appeared to confer one of the strongest protective effects of gene LoF on hypertension risk (OR = 0.86 [0.82-0.90]). Protein-coding variation in rapidly-evolving gene families within segmental duplications-previously invisible to most analysis methods-appeared to generate some of the human genome's largest contributions to variation in type 2 diabetes risk, chronotype, and blood cell traits. These results illustrate the potential for new genetic insights from genomic variation that has escaped large-scale analysis to date.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos