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Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity

Recently developed high-throughput sequencing technology shows power to detect low-frequency disease-causing variants by deep sequencing of all known exons. We used exome sequencing to identify variants associated with morbid obesity. DNA from 100 morbidly obese adult subjects and 100 controls were...

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Autores principales: Jiao, Hong, Arner, Peter, Gerdhem, Paul, Strawbridge, Rona J, Näslund, Erik, Thorell, Anders, Hamsten, Anders, Kere, Juha, Dahlman, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538196/
https://www.ncbi.nlm.nih.gov/pubmed/25406998
http://dx.doi.org/10.1038/ejhg.2014.255
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author Jiao, Hong
Arner, Peter
Gerdhem, Paul
Strawbridge, Rona J
Näslund, Erik
Thorell, Anders
Hamsten, Anders
Kere, Juha
Dahlman, Ingrid
author_facet Jiao, Hong
Arner, Peter
Gerdhem, Paul
Strawbridge, Rona J
Näslund, Erik
Thorell, Anders
Hamsten, Anders
Kere, Juha
Dahlman, Ingrid
author_sort Jiao, Hong
collection PubMed
description Recently developed high-throughput sequencing technology shows power to detect low-frequency disease-causing variants by deep sequencing of all known exons. We used exome sequencing to identify variants associated with morbid obesity. DNA from 100 morbidly obese adult subjects and 100 controls were pooled (n=10/pool), subjected to exome capture, and subsequent sequencing. At least 100 million sequencing reads were obtained from each pool. After several filtering steps and comparisons of observed frequencies of variants between obese and non-obese control pools, we systematically selected 144 obesity-enriched non-synonymous, splicing site or 5′ upstream single-nucleotide variants for validation. We first genotyped 494 adult subjects with morbid obesity and 496 controls. Five obesity-associated variants (nominal P-value<0.05) were subsequently genotyped in 1425 morbidly obese and 782 controls. Out of the five variants, only rs62623713:A>G (NM_001040709:c.A296G:p.E99G) was confirmed. rs62623713 showed strong association with body mass index (beta=2.13 (1.09, 3.18), P=6.28 × 10(−5)) in a joint analysis of all 3197 genotyped subjects and had an odds ratio of 1.32 for obesity association. rs62623713 is a low-frequency (2.9% minor allele frequency) non-synonymous variant (E99G) in exon 4 of the synaptophysin-like 2 (SYPL2) gene. rs62623713 was not covered by Illumina or Affymetrix genotyping arrays used in previous genome-wide association studies. Mice lacking Sypl2 has been reported to display reduced body weight. In conclusion, using exome sequencing we identified a low-frequency coding variant in the SYPL2 gene that was associated with morbid obesity. This gene may be involved in the development of excess body fat.
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spelling pubmed-45381962015-08-21 Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity Jiao, Hong Arner, Peter Gerdhem, Paul Strawbridge, Rona J Näslund, Erik Thorell, Anders Hamsten, Anders Kere, Juha Dahlman, Ingrid Eur J Hum Genet Article Recently developed high-throughput sequencing technology shows power to detect low-frequency disease-causing variants by deep sequencing of all known exons. We used exome sequencing to identify variants associated with morbid obesity. DNA from 100 morbidly obese adult subjects and 100 controls were pooled (n=10/pool), subjected to exome capture, and subsequent sequencing. At least 100 million sequencing reads were obtained from each pool. After several filtering steps and comparisons of observed frequencies of variants between obese and non-obese control pools, we systematically selected 144 obesity-enriched non-synonymous, splicing site or 5′ upstream single-nucleotide variants for validation. We first genotyped 494 adult subjects with morbid obesity and 496 controls. Five obesity-associated variants (nominal P-value<0.05) were subsequently genotyped in 1425 morbidly obese and 782 controls. Out of the five variants, only rs62623713:A>G (NM_001040709:c.A296G:p.E99G) was confirmed. rs62623713 showed strong association with body mass index (beta=2.13 (1.09, 3.18), P=6.28 × 10(−5)) in a joint analysis of all 3197 genotyped subjects and had an odds ratio of 1.32 for obesity association. rs62623713 is a low-frequency (2.9% minor allele frequency) non-synonymous variant (E99G) in exon 4 of the synaptophysin-like 2 (SYPL2) gene. rs62623713 was not covered by Illumina or Affymetrix genotyping arrays used in previous genome-wide association studies. Mice lacking Sypl2 has been reported to display reduced body weight. In conclusion, using exome sequencing we identified a low-frequency coding variant in the SYPL2 gene that was associated with morbid obesity. This gene may be involved in the development of excess body fat. Nature Publishing Group 2015-09 2014-11-19 /pmc/articles/PMC4538196/ /pubmed/25406998 http://dx.doi.org/10.1038/ejhg.2014.255 Text en Copyright © 2015 Macmillan Publishers Limited
spellingShingle Article
Jiao, Hong
Arner, Peter
Gerdhem, Paul
Strawbridge, Rona J
Näslund, Erik
Thorell, Anders
Hamsten, Anders
Kere, Juha
Dahlman, Ingrid
Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title_full Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title_fullStr Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title_full_unstemmed Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title_short Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity
title_sort exome sequencing followed by genotyping suggests sypl2 as a susceptibility gene for morbid obesity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538196/
https://www.ncbi.nlm.nih.gov/pubmed/25406998
http://dx.doi.org/10.1038/ejhg.2014.255
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