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Determining the stability of genome-wide factors in BMI between ages 40 to 69 years.
Gillespie, Nathan A; Gentry, Amanda Elswick; Kirkpatrick, Robert M; Reynolds, Chandra A; Mathur, Ravi; Kendler, Kenneth S; Maes, Hermine H; Webb, Bradley T; Peterson, Roseann E.
Afiliação
  • Gillespie NA; Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Gentry AE; QIMR Berghofer Medical Research Institute, Herston, Australia.
  • Kirkpatrick RM; Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Reynolds CA; Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Mathur R; Department of Psychology, University of California, Riverside, California, United States of America.
  • Kendler KS; GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, United States of America.
  • Maes HH; Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Webb BT; Virginia Institute for Psychiatric and Behavior Genetics, Departments of Human and Molecular Genetics, Psychiatry, & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Peterson RE; Virginia Institute for Psychiatric and Behavior Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America.
PLoS Genet ; 18(8): e1010303, 2022 08.
Article em En | MEDLINE | ID: mdl-35951648
Genome-wide association studies (GWAS) have successfully identified common variants associated with BMI. However, the stability of aggregate genetic variation influencing BMI from midlife and beyond is unknown. By analysing 165,717 men and 193,073 women from the UKBiobank, we performed BMI GWAS on six independent five-year age intervals between 40 and 72 years. We then applied genomic structural equation modeling to test competing hypotheses regarding the stability of genetic effects for BMI. LDSR genetic correlations between BMI assessed between ages 40 to 73 were all very high and ranged 0.89 to 1.00. Genomic structural equation modeling revealed that molecular genetic variance in BMI at each age interval could not be explained by the accumulation of any age-specific genetic influences or autoregressive processes. Instead, a common set of stable genetic influences appears to underpin genome-wide variation in BMI from middle to early old age in men and women alike.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2022 Tipo de documento: Article