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Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity

Authors :
Audrey E. Hendricks
Elena G. Bochukova
Gaëlle Marenne
Julia M. Keogh
Neli Atanassova
Rebecca Bounds
Eleanor Wheeler
Vanisha Mistry
Elana Henning
Antje Körner
Dawn Muddyman
Shane McCarthy
Anke Hinney
Johannes Hebebrand
Robert A. Scott
Claudia Langenberg
Nick J. Wareham
Praveen Surendran
Joanna M. Howson
Adam S. Butterworth
John Danesh
Børge G Nordestgaard
Sune F Nielsen
Shoaib Afzal
Sofia Papadia
Sofie Ashford
Sumedha Garg
Glenn L. Millhauser
Rafael I. Palomino
Alexandra Kwasniewska
Ioanna Tachmazidou
Stephen O’Rahilly
Eleftheria Zeggini
Inês Barroso
I. Sadaf Farooqi
Understanding Society Scientific Group
EPIC-CVD Consortium
UK10K Consortium
Source :
Scientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
Publication Year :
2017
Publisher :
Nature Portfolio, 2017.

Abstract

Abstract Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF~0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10−3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.54a92d82de8240b1979f1209871a8899
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-017-03054-8