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Gene-environment interaction explains a part of missing heritability in human body mass index.
Jung, Hae-Un; Kim, Dong Jun; Baek, Eun Ju; Chung, Ju Yeon; Ha, Tae Woong; Kim, Han-Kyul; Kang, Ji-One; Lim, Ji Eun; Oh, Bermseok.
Afiliação
  • Jung HU; Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea.
  • Kim DJ; Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea.
  • Baek EJ; Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea.
  • Chung JY; Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea.
  • Ha TW; Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea.
  • Kim HK; Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea.
  • Kang JO; Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea.
  • Lim JE; Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea. jelim@khu.ac.kr.
  • Oh B; Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea. ohbs@khu.ac.kr.
Commun Biol ; 6(1): 324, 2023 03 25.
Article em En | MEDLINE | ID: mdl-36966243
ABSTRACT
Gene-environment (G×E) interaction could partially explain missing heritability in traits; however, the magnitudes of G×E interaction effects remain unclear. Here, we estimate the heritability of G×E interaction for body mass index (BMI) by subjecting genome-wide interaction study data of 331,282 participants in the UK Biobank to linkage disequilibrium score regression (LDSC) and linkage disequilibrium adjusted kinships-software for estimating SNP heritability from summary statistics (LDAK-SumHer) analyses. Among 14 obesity-related lifestyle factors, MET score, pack years of smoking, and alcohol intake frequency significantly interact with genetic factors in both analyses, accounting for the partial variance of BMI. The G×E interaction heritability (%) and standard error of these factors by LDSC and LDAK-SumHer are as follows MET score, 0.45% (0.12) and 0.65% (0.24); pack years of smoking, 0.52% (0.13) and 0.93% (0.26); and alcohol intake frequency, 0.32% (0.10) and 0.80% (0.17), respectively. Moreover, these three factors are partially validated for their interactions with genetic factors in other obesity-related traits, including waist circumference, hip circumference, waist-to-hip ratio adjusted with BMI, and body fat percentage. Our results suggest that G×E interaction may partly explain the missing heritability in BMI, and two G×E interaction loci identified could help in understanding the genetic architecture of obesity.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interação Gene-Ambiente / Obesidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interação Gene-Ambiente / Obesidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article