Dataset Information

New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry.

ABSTRACT: Body-mass index (BMI) is a hallmark of adiposity. In contrast with adulthood, the genetic architecture of BMI during childhood is poorly understood. The few genome-wide association studies (GWAS) on children have been performed almost exclusively in Europeans and at single ages. We performed cross-sectional and longitudinal GWAS for BMI-related traits on 904 admixed children with mostly Mapuche Native American and European ancestries. We found regulatory variants of the immune gene HLA-DQB3 strongly associated with BMI at 1.5-2.5 years old. A variant in the sex-determining gene DMRT1 was associated with the age at adiposity rebound (Age-AR) in girls (P =9.8×10-9 ). BMI was significantly higher in Mapuche than in Europeans between 5.5 and 16.5 years old. Finally, Age-AR was significantly lower (P =0.004 ) by 1.94 years and BMI at AR was significantly higher (P =0.04 ) by 1.2 kg/ m2 , in Mapuche children compared with Europeans.

SUBMITTER: Vicuna L

PROVIDER: S-EPMC9947275 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry.

Vicuña Lucas L Barrientos Esteban E Norambuena Tomás T Alvares Danilo D Gana Juan Cristobal JC Leiva-Yamaguchi Valeria V Meza Cristian C Santos José L JL Mericq Veronica V Pereira Ana A Eyheramendy Susana S

iScience 20230131 2

Body-mass index (BMI) is a hallmark of adiposity. In contrast with adulthood, the genetic architecture of BMI during childhood is poorly understood. The few genome-wide association studies (GWAS) on children have been performed almost exclusively in Europeans and at single ages. We performed cross-sectional and longitudinal GWAS for BMI-related traits on 904 admixed children with mostly Mapuche Native American and European ancestries. We found regulatory variants of the immune gene <i>HLA-DQB3</ ...[more]

PMID: 36844456

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Project description:Ancestry informative markers (AIMs) are used in forensic genetics to infer biogeographical ancestry (BGA) of individuals and may also have a prominent role in future police and identification investigations. In the last few years, many studies have been published reporting new AIM sets. These sets include markers (usually around 100 or less) selected with different purposes and different population resolutions. Regardless of the ability of these sets to separate populations from different continents or regions, the uncertainty associated with the estimates provided by these panels and their capacity to accurately report the different ancestral contributions in individuals of admixed populations has rarely been investigated. This issue is addressed in this study by evaluating different AIM sets. Ancestry inference was carried out in admixed South American populations, both at population and individual levels. The results of ancestry inferences using AIM sets with different numbers of markers among admixed reference populations were compared. To evaluate the performance of the different ancestry panels at the individual level, expected and observed estimates among families and their offspring were compared, considering that (1) the apportionment of ancestry in the offspring should be closer to the average ancestry of the parents, and (2) full siblings should present similar ancestry values. The results obtained illustrate the importance of having a good balance/compromise between not only the number of markers and their ability to differentiate ancestral populations, but also a balanced differentiation among reference groups, to obtain more precise values of genetic ancestry. This work also highlights the importance of estimating errors associated with the use of a limited number of markers. We demonstrate that although these errors have a moderate effect at the population level, they may have an important impact at the individual level. Considering that many AIM-sets are being described for inferences at the individual level and not at the population level, e.g., in association studies or the determination of a suspect's BGA, the results of this work point to the need of a more careful evaluation of the uncertainty associated with the ancestry estimates in admixed populations, when small AIM-sets are used.

Dataset Information

New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry.

Publications

New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry.

Similar Datasets

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