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Accès ouvert déclaré 2021 preprint

Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits - the Hispanic/Latino Anthropometry Consortium

17Citations signalées, ce qui n’est pas une note de qualité
71Institutions déclarées
13Pays d’affiliation déclarés

Rattachement africain : us, gb, br, dk, de, mx, co, pe, ar, cl, fr, cn, ca. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

ABSTRACT Hispanic/Latinos have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits despite notable anthropometric variability with ancestry proportions, and a high burden of growth stunting and overweight/obesity in Hispanic/Latino populations. This address this knowledge gap, we analyzed densely-imputed genetic data in a sample of Hispanic/Latino adults, to identify and fine-map common genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). We conducted a GWAS of 18 studies/consortia as part of the Hispanic/Latino Anthropometry (HISLA) Consortium (Stage 1, n=59,769) and validated our findings in 9 additional studies (HISLA Stage 2, n=9,336). We conducted a trans-ethnic GWAS with summary statistics from HISLA Stage 1 and existing consortia of European and African ancestries. In our HISLA Stage 1+2 analyses, we discovered one novel BMI locus, as well two novel BMI signals and another novel height signal, each within established anthropometric loci. In our trans-ethnic meta- analysis, we identified three additional novel BMI loci, one novel height locus, and one novel WHRadjBMI locus. We also identified three secondary signals for BMI, 28 for height, and two for WHRadjBMI. We replicated >60 established anthropometric loci in Hispanic/Latino populations at genome-wide significance—representing up to 30% of previously-reported index SNP anthropometric associations. Trans-ethnic meta-analysis of the three ancestries showed a small-to-moderate impact of uncorrected population stratification on the resulting effect size estimates. Our novel findings demonstrate that future studies may also benefit from leveraging differences in linkage disequilibrium patterns to discover novel loci and additional signals with less residual population stratification.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits - the Hispanic/Latino Anthropometry Consortium
Date Crossref
29/05/2021
Éditeur
openRxiv
Type
posted-content

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

University of North Carolina at Chapel HillPennsylvania State UniversityNeurobehavioral SystemsGeisinger Health SystemUniversity of California, Los AngelesThe Lundquist InstituteLos Angeles Medical CenterVanderbilt University Medical CenterThe Open UniversityWake Forest UniversityChildren's Hospital of PhiladelphiaUniversidade de São PauloUniversity of Southern CaliforniaVertex Pharmaceuticals (United Kingdom)University of CopenhagenNovo Nordisk (Denmark)Icahn School of Medicine at Mount SinaiHasso Plattner InstituteUniversity of PotsdamNational Institute of Anthropology and HistoryUniversidad de AntioquiaUniversidade Federal do Rio Grande do SulNational Institute of Genomic MedicineUniversidad Nacional Autónoma de MéxicoUniversidad Peruana Cayetano HerediaCentro Científico Tecnológico PatagónicoUniversity of TarapacáCase Western Reserve UniversityUniversity of WashingtonAlbert Einstein College of MedicineNational Heart, Lung, and Blood InstituteUniversity of MichiganThe Ohio State UniversityUniversity of California San DiegoKeck Hospital of USCUCLA Medical CenterHarbor–UCLA Medical CenterCedars-Sinai Medical CenterThe Ohio State University Wexner Medical CenterCity of HopeBeckman Research InstituteNew York Medical CollegeUniversity of California, IrvineKaiser PermanenteMexican Social Security InstituteUniversidade Federal de PelotasThe University of Texas Rio Grande ValleyThe University of Texas at San Antonio Health Science CenterThe University of Texas at San AntonioUniversity of California, DavisStanford UniversityInstituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránBroad InstituteMassachusetts Institute of TechnologyHarvard UniversityMassachusetts General HospitalThe University of Texas Health Science Center at HoustonAgricultural Research ServiceUnited States Department of AgricultureChildren's Nutrition Research Center at Baylor College of MedicineTexas Biomedical Research InstituteObesity SocietyDavid H. Murdock Research InstituteBrigham and Women's HospitalCircadian (United States)University of California, San FranciscoUCSF Helen Diller Family Comprehensive Cancer CenterAix-Marseille UniversitéFudan UniversityUniversity College LondonUniversity of Toronto

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals

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