Rare Variant Analysis of Obesity-Associated Genes in Young Adults With Severe Obesity From a Consanguineous Population of Pakistan.


Journal

Diabetes
ISSN: 1939-327X
Titre abrégé: Diabetes
Pays: United States
ID NLM: 0372763

Informations de publication

Date de publication:
01 04 2022
Historique:
received: 29 04 2021
accepted: 18 01 2022
pubmed: 22 1 2022
medline: 3 5 2022
entrez: 21 1 2022
Statut: ppublish

Résumé

Recent advances in genetic analysis have significantly helped in progressively attenuating the heritability gap of obesity and have brought into focus monogenic variants that disrupt the melanocortin signaling. In a previous study, next-generation sequencing revealed a monogenic etiology in ∼50% of the children with severe obesity from a consanguineous population in Pakistan. Here we assess rare variants in obesity-causing genes in young adults with severe obesity from the same region. Genomic DNA from 126 randomly selected young adult obese subjects (BMI 37.2 ± 0.3 kg/m2; age 18.4 ± 0.3 years) was screened by conventional or augmented whole-exome analysis for point mutations and copy number variants (CNVs). Leptin, insulin, and cortisol levels were measured by ELISA. We identified 13 subjects carrying 13 different pathogenic or likely pathogenic variants in LEPR, PCSK1, MC4R, NTRK2, POMC, SH2B1, and SIM1. We also identified for the first time in the human, two homozygous stop-gain mutations in ASNSD1 and IFI16 genes. Inactivation of these genes in mouse models has been shown to result in obesity. Additionally, we describe nine homozygous mutations (seven missense, one stop-gain, and one stop-loss) and four copy-loss CNVs in genes or genomic regions previously linked to obesity-associated traits by genome-wide association studies. Unexpectedly, in contrast to obese children, pathogenic mutations in LEP and LEPR were either absent or rare in this cohort of young adults. High morbidity and mortality risks and social disadvantage of children with LEP or LEPR deficiency may in part explain this difference between the two cohorts.

Identifiants

pubmed: 35061034
pii: 140942
doi: 10.2337/db21-0373
doi:

Substances chimiques

Adaptor Proteins, Signal Transducing 0
Receptor, Melanocortin, Type 4 0
Receptors, Leptin 0
SH2B1 protein, human 0

Banques de données

figshare
['10.2337/figshare.18665462']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

694-705

Subventions

Organisme : Medical Research Council
ID : MR/S026193/1
Pays : United Kingdom

Informations de copyright

© 2022 by the American Diabetes Association.

Auteurs

Sadia Saeed (S)

Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.
Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Qasim M Janjua (QM)

Department of Physiology and Biophysics, National University of Science and Technology, Sohar, Oman.

Attiya Haseeb (A)

School of Life Sciences, Forman Christian College, Lahore, Pakistan.

Roohia Khanam (R)

School of Life Sciences, Forman Christian College, Lahore, Pakistan.

Emmanuelle Durand (E)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Emmanuel Vaillant (E)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Lijiao Ning (L)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Alaa Badreddine (A)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Lionel Berberian (L)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Mathilde Boissel (M)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Souhila Amanzougarene (S)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Mickaël Canouil (M)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Mehdi Derhourhi (M)

Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Amélie Bonnefond (A)

Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.
Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

Muhammad Arslan (M)

School of Life Sciences, Forman Christian College, Lahore, Pakistan.

Philippe Froguel (P)

Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.
Inserm UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Lille University Hospital, University of Lille, Lille, France.

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Classifications MeSH