Genetic Causes of Severe Childhood Obesity: A Remarkably High Prevalence in an Inbred Population of Pakistan.


Journal

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

Informations de publication

Date de publication:
07 2020
Historique:
received: 16 12 2019
accepted: 25 04 2020
pubmed: 1 5 2020
medline: 31 12 2020
entrez: 1 5 2020
Statut: ppublish

Résumé

Monogenic forms of obesity have been identified in ≤10% of severely obese European patients. However, the overall spectrum of deleterious variants (point mutations and structural variants) responsible for childhood severe obesity remains elusive. In this study, we genetically screened 225 severely obese children from consanguineous Pakistani families through a combination of techniques, including an in-house-developed augmented whole-exome sequencing method (CoDE-seq) that enables simultaneous detection of whole-exome copy number variations (CNVs) and point mutations in coding regions. We identified 110 (49%) probands carrying 55 different pathogenic point mutations and CNVs in 13 genes/loci responsible for nonsyndromic and syndromic monofactorial obesity. CoDE-seq also identified 28 rare or novel CNVs associated with intellectual disability in 22 additional obese subjects (10%). Additionally, we highlight variants in candidate genes for obesity warranting further investigation. Altogether, 59% of cases in the studied cohort are likely to have a discrete genetic cause, with 13% of these as a result of CNVs, demonstrating a remarkably higher prevalence of monofactorial obesity than hitherto reported and a plausible overlapping of obesity and intellectual disabilities in several cases. Finally, inbred populations with a high prevalence of obesity provide unique, genetically enriched material in the quest of new genes/variants influencing energy balance.

Identifiants

pubmed: 32349990
pii: db19-1238
doi: 10.2337/db19-1238
doi:

Substances chimiques

LEP protein, human 0
Leptin 0
MC4R protein, human 0
Receptor, Melanocortin, Type 4 0
Receptors, Leptin 0

Banques de données

figshare
['10.2337/figshare.12200843']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1424-1438

Subventions

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

Informations de copyright

© 2020 by the American Diabetes Association.

Auteurs

Sadia Saeed (S)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.
Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.

Muhammad Arslan (M)

School of Life Sciences, Forman Christian College (A Chartered University), Lahore, Pakistan.

Jaida Manzoor (J)

Department of Paediatric Endocrinology, Children's Hospital, Lahore, Pakistan.

Sadia M Din (SM)

Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan.

Qasim M Janjua (QM)

Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan.
Department of Physiology, University College of Medicine and Dentistry, University of Lahore, Lahore, Pakistan.

Hina Ayesha (H)

Department of Paediatrics, Punjab Medical College, Faisalabad, Pakistan.

Qura-Tul Ain (QT)

Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan.

Laraib Inam (L)

School of Life Sciences, Forman Christian College (A Chartered University), Lahore, Pakistan.

Stephane Lobbens (S)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Emmanuel Vaillant (E)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Emmanuelle Durand (E)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Mehdi Derhourhi (M)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Souhila Amanzougarene (S)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Alaa Badreddine (A)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Lionel Berberian (L)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Stefan Gaget (S)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France.

Waqas I Khan (WI)

The Children Hospital and the Institute of Child Health, Multan, Pakistan.

Taeed A Butt (TA)

Department of Pediatrics, Fatima Memorial Hospital, Lahore, Pakistan.

Amélie Bonnefond (A)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France p.froguel@imperial.ac.uk amelie.bonnefond@cnrs.fr.
Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.

Philippe Froguel (P)

Université de Lille, INSERM UMR1283, CNRS-UMR 8199-European Genomic Institute for Diabetes, and Lille University Hospital, Lille, France p.froguel@imperial.ac.uk amelie.bonnefond@cnrs.fr.
Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH