Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study

Genome-wide association studies offer an unbiased approach to identify new candidate genes for osteoporosis. We examined the Affymetrix 500K + 50K SNP GeneChip marker sets for associations with multiple osteoporosis-related traits at various skeletal sites, including bone mineral density (BMD, hip a...

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Main Authors: Karasik, David, Hsu, Yi-Hsiang, Zhou, Yanhua, Cupples, L Adrienne, Kiel, Douglas P, Demissie, Serkalem
Format: Online
Language:English
Published: Wiley Subscription Services, Inc., A Wiley Company 2010
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3153998/
id pubmed-3153998
recordtype oai_dc
spelling pubmed-31539982011-08-19 Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study Karasik, David Hsu, Yi-Hsiang Zhou, Yanhua Cupples, L Adrienne Kiel, Douglas P Demissie, Serkalem Original Article Genome-wide association studies offer an unbiased approach to identify new candidate genes for osteoporosis. We examined the Affymetrix 500K + 50K SNP GeneChip marker sets for associations with multiple osteoporosis-related traits at various skeletal sites, including bone mineral density (BMD, hip and spine), heel ultrasound, and hip geometric indices in the Framingham Osteoporosis Study. We evaluated 433,510 single-nucleotide polymorphisms (SNPs) in 2073 women (mean age 65 years), members of two-generational families. Variance components analysis was performed to estimate phenotypic, genetic, and environmental correlations (ρP, ρG, and ρE) among bone traits. Linear mixed-effects models were used to test associations between SNPs and multivariable-adjusted trait values. We evaluated the proportion of SNPs associated with pairs of the traits at a nominal significance threshold α = 0.01. We found substantial correlation between the proportion of associated SNPs and the ρP and ρG (r = 0.91 and 0.84, respectively) but much lower with ρE (r = 0.38). Thus, for example, hip and spine BMD had 6.8% associated SNPs in common, corresponding to ρP = 0.55 and ρG = 0.66 between them. Fewer SNPs were associated with both BMD and any of the hip geometric traits (eg, femoral neck and shaft width, section moduli, neck shaft angle, and neck length); ρG between BMD and geometric traits ranged from −0.24 to +0.40. In conclusion, we examined relationships between osteoporosis-related traits based on genome-wide associations. Most of the similarity between the quantitative bone phenotypes may be attributed to pleiotropic effects of genes. This knowledge may prove helpful in defining the best phenotypes to be used in genetic studies of osteoporosis. © 2010 American Society for Bone and Mineral Research. Wiley Subscription Services, Inc., A Wiley Company 2010-07 2010-01-29 /pmc/articles/PMC3153998/ /pubmed/20200953 http://dx.doi.org/10.1002/jbmr.38 Text en Copyright © 2010 American Society for Bone and Mineral Research http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Karasik, David
Hsu, Yi-Hsiang
Zhou, Yanhua
Cupples, L Adrienne
Kiel, Douglas P
Demissie, Serkalem
spellingShingle Karasik, David
Hsu, Yi-Hsiang
Zhou, Yanhua
Cupples, L Adrienne
Kiel, Douglas P
Demissie, Serkalem
Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
author_facet Karasik, David
Hsu, Yi-Hsiang
Zhou, Yanhua
Cupples, L Adrienne
Kiel, Douglas P
Demissie, Serkalem
author_sort Karasik, David
title Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
title_short Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
title_full Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
title_fullStr Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
title_full_unstemmed Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
title_sort genome-wide pleiotropy of osteoporosis-related phenotypes: the framingham study
description Genome-wide association studies offer an unbiased approach to identify new candidate genes for osteoporosis. We examined the Affymetrix 500K + 50K SNP GeneChip marker sets for associations with multiple osteoporosis-related traits at various skeletal sites, including bone mineral density (BMD, hip and spine), heel ultrasound, and hip geometric indices in the Framingham Osteoporosis Study. We evaluated 433,510 single-nucleotide polymorphisms (SNPs) in 2073 women (mean age 65 years), members of two-generational families. Variance components analysis was performed to estimate phenotypic, genetic, and environmental correlations (ρP, ρG, and ρE) among bone traits. Linear mixed-effects models were used to test associations between SNPs and multivariable-adjusted trait values. We evaluated the proportion of SNPs associated with pairs of the traits at a nominal significance threshold α = 0.01. We found substantial correlation between the proportion of associated SNPs and the ρP and ρG (r = 0.91 and 0.84, respectively) but much lower with ρE (r = 0.38). Thus, for example, hip and spine BMD had 6.8% associated SNPs in common, corresponding to ρP = 0.55 and ρG = 0.66 between them. Fewer SNPs were associated with both BMD and any of the hip geometric traits (eg, femoral neck and shaft width, section moduli, neck shaft angle, and neck length); ρG between BMD and geometric traits ranged from −0.24 to +0.40. In conclusion, we examined relationships between osteoporosis-related traits based on genome-wide associations. Most of the similarity between the quantitative bone phenotypes may be attributed to pleiotropic effects of genes. This knowledge may prove helpful in defining the best phenotypes to be used in genetic studies of osteoporosis. © 2010 American Society for Bone and Mineral Research.
publisher Wiley Subscription Services, Inc., A Wiley Company
publishDate 2010
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3153998/
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