{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T13:26:29Z","timestamp":1769952389008,"version":"3.49.0"},"reference-count":61,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2010,6,30]],"date-time":"2010-06-30T00:00:00Z","timestamp":1277856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Genome-wide association studies offer an unbiased approach to identify new candidate genes for osteoporosis. We examined the Affymetrix 500K\u2009+\u200950K 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 (\u03c1P, \u03c1G, and \u03c1E) 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 \u03b1\u2009=\u20090.01. We found substantial correlation between the proportion of associated SNPs and the \u03c1P and \u03c1G (r\u2009=\u20090.91 and 0.84, respectively) but much lower with \u03c1E (r\u2009=\u20090.38). Thus, for example, hip and spine BMD had 6.8% associated SNPs in common, corresponding to \u03c1P\u2009=\u20090.55 and \u03c1G\u2009=\u20090.66 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); \u03c1G between BMD and geometric traits ranged from \u22120.24 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. \u00a9 2010 American Society for Bone and Mineral Research<\/jats:p>","DOI":"10.1002\/jbmr.38","type":"journal-article","created":{"date-parts":[[2010,1,29]],"date-time":"2010-01-29T18:37:46Z","timestamp":1264790266000},"page":"1555-1563","source":"Crossref","is-referenced-by-count":52,"title":["Genome-wide pleiotropy of osteoporosis-related phenotypes: The framingham study"],"prefix":"10.1093","volume":"25","author":[{"given":"David","family":"Karasik","sequence":"first","affiliation":[{"name":"Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Hsiang","family":"Hsu","sequence":"additional","affiliation":[{"name":"Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA, 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strategies","volume":"9","author":"Gluer","year":"1999","journal-title":"Osteoporos Int."},{"key":"2024020320124651000_bib4","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1136\/bmj.312.7041.1254","article-title":"Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures [see comments]","volume":"312","author":"Marshall","year":"1996","journal-title":"BMJ."},{"key":"2024020320124651000_bib5","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s00198-005-0014-9","article-title":"The use of multiple sites for the diagnosis of osteoporosis","volume":"17","author":"Kanis","year":"2006","journal-title":"Osteoporos Int."},{"key":"2024020320124651000_bib6","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1359\/jbmr.2001.16.5.901","article-title":"Classification of osteoporosis based on bone mineral densities","volume":"16","author":"Lu","year":"2001","journal-title":"J Bone Miner 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Models and analytical methods","volume":"50","author":"Boerwinkle","year":"1986","journal-title":"Ann Hum Genet."},{"key":"2024020320124651000_bib46","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1359\/jbmr.070712","article-title":"Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study","volume":"22","author":"Rivadeneira","year":"2007","journal-title":"J Bone Miner Res."},{"key":"2024020320124651000_bib47","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1007\/s00198-008-0768-y","article-title":"Women and men with hip fractures have a longer femoral neck moment arm and greater impact load in a sideways fall","volume":"20","author":"Wang","year":"2008","journal-title":"Osteoporos Int."},{"key":"2024020320124651000_bib48","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1002\/jor.1100140613","article-title":"Differential growth by growth plates as a 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