Literature DB >> 15003802

Genome screen for a combined bone phenotype using principal component analysis: the Framingham study.

D Karasik1, L A Cupples, M T Hannan, D P Kiel.   

Abstract

Genetic factors substantially contribute to variation in bone mass. There is a controversy as to whether shared genetic factors exist for bone mass at different sites. We hypothesize that using a composite phenotypic score of several correlated bone mass measures may provide complementary results for linkage studies. In the members of 323 pedigrees from the Framingham Osteoporosis Study, bone mineral density (BMD) was measured at the lumbar spine and three femoral sites (Lunar DPX-L), and quantitative ultrasound (QUS) measured at the calcaneus (Hologic Sahara). Data on age, sex, anthropometry, alcohol and caffeine intake, smoking status, physical activity, menopause, and estrogen use (in females) were also obtained. Principal component analyses of BMD and QUS phenotypes were performed in each sex and generation (parents and offspring). The principal component analyses yielded two components, whose loadings were extracted as principal component scores (PC1 and PC2) for each individual, with PC1 explaining up to 66% of the total variation of all bone mass measurements, and PC2 an additional 24%. Principal component analysis of the three femoral BMD measures resulted in one component (PC_hip) that explained 89-91% of the common variation of hip BMD measures. Quantitative genetic analysis (using the variance components method) revealed that both principal component scores were under significant genetic influences (covariate-adjusted heritabilities of PC1, PC2, and PC_hip were 0.66 +/- 0.07, 0.44 +/- 0.07, and 0.61 +/- 0.06, respectively). For PC1, loci of suggestive linkage were identified on chromosomes 1q21.3 and 8q24.3 with the maximum multipoint LOD scores 2.5 and 2.4, respectively. For PC2, multipoint LOD score was 2.1 on 1p36. Suggestive linkage of PC_hip was found on 8q24.3 and 16p13.2 (LODs>1.9). In conclusion, an approach to linkage analysis using the linear combination of several correlated bone phenotypes suggests that there are chromosomal loci regulating bone mass, with seemingly pleiotropic effects at different skeletal sites.

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Year:  2004        PMID: 15003802     DOI: 10.1016/j.bone.2003.11.017

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  32 in total

1.  Genome-wide association of an integrated osteoporosis-related phenotype: is there evidence for pleiotropic genes?

Authors:  David Karasik; Ching Lung Cheung; Yanhua Zhou; L Adrienne Cupples; Douglas P Kiel; Serkalem Demissie
Journal:  J Bone Miner Res       Date:  2012-02       Impact factor: 6.741

Review 2.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

Authors:  David Karasik
Journal:  Age (Dordr)       Date:  2010-07-02

Review 3.  Molecular genetic studies of gene identification for osteoporosis: a 2004 update.

Authors:  Yong-Jun Liu; Hui Shen; Peng Xiao; Dong-Hai Xiong; Li-Hua Li; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

4.  Proximal hip geometry is linked to several chromosomal regions: genome-wide linkage results from the Framingham Osteoporosis Study.

Authors:  S Demissie; J Dupuis; L A Cupples; T J Beck; D P Kiel; D Karasik
Journal:  Bone       Date:  2006-10-31       Impact factor: 4.398

5.  Bivariate linkage study of proximal hip geometry and body size indices: the Framingham study.

Authors:  D Karasik; J Dupuis; L A Cupples; T J Beck; M C Mahaney; L M Havill; D P Kiel; S Demissie
Journal:  Calcif Tissue Int       Date:  2007-08-03       Impact factor: 4.333

6.  Bivariate genome-wide linkage analysis of femoral bone traits and leg lean mass: Framingham study.

Authors:  David Karasik; Yanhua Zhou; L Adrienne Cupples; Marian T Hannan; Douglas P Kiel; Serkalem Demissie
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

7.  Comparison of whole genome linkage scans in premenopausal and postmenopausal women: no bone-loss-specific QTLs were implicated.

Authors:  H Yan; Y-J Liu; Q Zhou; P Xiao; R R Recker; H-W Deng
Journal:  Osteoporos Int       Date:  2008-09-03       Impact factor: 4.507

8.  High resolution linkage and linkage disequilibrium analyses of chromosome 1p36 SNPs identify new positional candidate genes for low bone mineral density.

Authors:  H Zhang; K Sol-Church; H Rydbeck; D Stabley; L D Spotila; M Devoto
Journal:  Osteoporos Int       Date:  2008-07-03       Impact factor: 4.507

9.  Quantitative trait loci for BMD in an SM/J by NZB/BlNJ intercross population and identification of Trps1 as a probable candidate gene.

Authors:  Naoki Ishimori; Ioannis M Stylianou; Ron Korstanje; Michael A Marion; Renhua Li; Leah Rae Donahue; Clifford J Rosen; Wesley G Beamer; Beverly Paigen; Gary A Churchill
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

10.  Polymorphisms in the endothelial nitric oxide synthase gene and bone density/ultrasound and geometry in humans.

Authors:  K Cho; S Demissie; J Dupuis; L A Cupples; S Kathiresan; T J Beck; D Karasik; D P Kiel
Journal:  Bone       Date:  2007-09-29       Impact factor: 4.398

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