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Determining the stability of genome-wide factors in BMI between ages 40 to 69 years

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 s...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398001/
https://www.ncbi.nlm.nih.gov/pubmed/35951648
http://dx.doi.org/10.1371/journal.pgen.1010303
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author 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.
author_facet 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.
author_sort Gillespie, Nathan A.
collection PubMed
description 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.
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spelling pubmed-93980012022-08-24 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. PLoS Genet Research Article 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. Public Library of Science 2022-08-11 /pmc/articles/PMC9398001/ /pubmed/35951648 http://dx.doi.org/10.1371/journal.pgen.1010303 Text en © 2022 Gillespie et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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.
Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title_full Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title_fullStr Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title_full_unstemmed Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title_short Determining the stability of genome-wide factors in BMI between ages 40 to 69 years
title_sort determining the stability of genome-wide factors in bmi between ages 40 to 69 years
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398001/
https://www.ncbi.nlm.nih.gov/pubmed/35951648
http://dx.doi.org/10.1371/journal.pgen.1010303
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