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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9398001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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