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Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation

Although there are a number of discoveries from genome-wide association studies (GWAS) for obesity, it has not been successful in linking GWAS results to biology. We sought to discover causal genes for obesity by conducting functional studies on genes detected from genetic association analysis. Gene...

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Autores principales: Kim, Myungsuk, Park, Kye Won, Ahn, Yeongseon, Lim, Eun Bi, Kwak, Soo Heon, Randy, Ahmad, Song, No Joon, Park, Kyong Soo, Nho, Chu Won, Cho, Yoon Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412052/
https://www.ncbi.nlm.nih.gov/pubmed/36035184
http://dx.doi.org/10.3389/fgene.2022.951025
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author Kim, Myungsuk
Park, Kye Won
Ahn, Yeongseon
Lim, Eun Bi
Kwak, Soo Heon
Randy, Ahmad
Song, No Joon
Park, Kyong Soo
Nho, Chu Won
Cho, Yoon Shin
author_facet Kim, Myungsuk
Park, Kye Won
Ahn, Yeongseon
Lim, Eun Bi
Kwak, Soo Heon
Randy, Ahmad
Song, No Joon
Park, Kyong Soo
Nho, Chu Won
Cho, Yoon Shin
author_sort Kim, Myungsuk
collection PubMed
description Although there are a number of discoveries from genome-wide association studies (GWAS) for obesity, it has not been successful in linking GWAS results to biology. We sought to discover causal genes for obesity by conducting functional studies on genes detected from genetic association analysis. Gene-based association analysis of 917 individual exome sequences showed that HOGA1 attains exome-wide significance (p-value < 2.7 × 10(–6)) for body mass index (BMI). The mRNA expression of HOGA1 is significantly increased in human adipose tissues from obese individuals in the Genotype-Tissue Expression (GTEx) dataset, which supports the genetic association of HOGA1 with BMI. Functional analyses employing cell- and animal model-based approaches were performed to gain insights into the functional relevance of Hoga1 in obesity. Adipogenesis was retarded when Hoga1 was knocked down by siRNA treatment in a mouse 3T3-L1 cell line and a similar inhibitory effect was confirmed in mice with down-regulated Hoga1. Hoga1 antisense oligonucleotide (ASO) treatment reduced body weight, blood lipid level, blood glucose, and adipocyte size in high-fat diet-induced mice. In addition, several lipogenic genes including Srebf1, Scd1, Lp1, and Acaca were down-regulated, while lipolytic genes Cpt1l, Ppara, and Ucp1 were up-regulated. Taken together, HOGA1 is a potential causal gene for obesity as it plays a role in excess body fat development.
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spelling pubmed-94120522022-08-27 Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation Kim, Myungsuk Park, Kye Won Ahn, Yeongseon Lim, Eun Bi Kwak, Soo Heon Randy, Ahmad Song, No Joon Park, Kyong Soo Nho, Chu Won Cho, Yoon Shin Front Genet Genetics Although there are a number of discoveries from genome-wide association studies (GWAS) for obesity, it has not been successful in linking GWAS results to biology. We sought to discover causal genes for obesity by conducting functional studies on genes detected from genetic association analysis. Gene-based association analysis of 917 individual exome sequences showed that HOGA1 attains exome-wide significance (p-value < 2.7 × 10(–6)) for body mass index (BMI). The mRNA expression of HOGA1 is significantly increased in human adipose tissues from obese individuals in the Genotype-Tissue Expression (GTEx) dataset, which supports the genetic association of HOGA1 with BMI. Functional analyses employing cell- and animal model-based approaches were performed to gain insights into the functional relevance of Hoga1 in obesity. Adipogenesis was retarded when Hoga1 was knocked down by siRNA treatment in a mouse 3T3-L1 cell line and a similar inhibitory effect was confirmed in mice with down-regulated Hoga1. Hoga1 antisense oligonucleotide (ASO) treatment reduced body weight, blood lipid level, blood glucose, and adipocyte size in high-fat diet-induced mice. In addition, several lipogenic genes including Srebf1, Scd1, Lp1, and Acaca were down-regulated, while lipolytic genes Cpt1l, Ppara, and Ucp1 were up-regulated. Taken together, HOGA1 is a potential causal gene for obesity as it plays a role in excess body fat development. Frontiers Media S.A. 2022-08-12 /pmc/articles/PMC9412052/ /pubmed/36035184 http://dx.doi.org/10.3389/fgene.2022.951025 Text en Copyright © 2022 Kim, Park, Ahn, Lim, Kwak, Randy, Song, Park, Nho and Cho. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Kim, Myungsuk
Park, Kye Won
Ahn, Yeongseon
Lim, Eun Bi
Kwak, Soo Heon
Randy, Ahmad
Song, No Joon
Park, Kyong Soo
Nho, Chu Won
Cho, Yoon Shin
Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title_full Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title_fullStr Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title_full_unstemmed Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title_short Genetic association-based functional analysis detects HOGA1 as a potential gene involved in fat accumulation
title_sort genetic association-based functional analysis detects hoga1 as a potential gene involved in fat accumulation
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412052/
https://www.ncbi.nlm.nih.gov/pubmed/36035184
http://dx.doi.org/10.3389/fgene.2022.951025
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