4.6 Article

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

期刊

JOURNAL OF BONE AND MINERAL RESEARCH
卷 27, 期 2, 页码 319-330

出版社

WILEY
DOI: 10.1002/jbmr.563

关键词

BONE MINERAL DENSITY; QUANTITATIVE ULTRASOUND; FEMORAL GEOMETRY; MUSCLE MASS; PRINCIPAL COMPONENT ANALYSIS; GENOME-WIDE ASSOCIATION; SINGLE NUCLEOTIDE POLYMORPHISMS; PLEIOTROPY

资金

  1. US National Institute for Arthritis, Musculoskeletal and Skin Diseases
  2. National Institute on Aging [R01 AR/AG 41398, R01 AR 050066, R01 AR 057118]
  3. National Human Genome Research Institute [R03 HG004946-01]
  4. National Heart, Lung, and Blood Institute [N01-HC-25195]
  5. Affymetrix, Inc. [N02-HL-6-4278]

向作者/读者索取更多资源

Multiple musculoskeletal traits assessed by various methods at different skeletal sites serve as surrogates for osteoporosis risk. However, it is a challenge to select the most relevant phenotypes for genetic study of fractures. Principal component analyses (PCA) were conducted in participants of the Framingham Osteoporosis Study on 17 measures including bond mineral density (BMD) (hip and spine), heel ultrasound, leg lean mass (LLM), and hip geometric indices, adjusting for covariates (age, height, body mass index [BMI]), in a combined sample of 1180 men and 1758 women, as well as in each sex. Four principal components (PCs) jointly explained similar to 69% of the total variability of musculoskeletal traits. PC1, explaining similar to 33% of the total variance, was referred to as the component of Bone strength, because it included the hip and spine BMD as well as several hip cross-sectional properties. PC2 (20.5% variance) was labeled as Femoral cross-sectional geometry; PC3 (similar to 8% variance) captured only ultrasound measures; PC4, explaining similar to 7% variance, was correlated with LLM and hip geometry. We then evaluated similar to 2.5 mil SNPs for association with PCs 1, 2, and 4. There were genome-wide significant associations (p<5 x 10(-8)) between PC2 and HTR1E (that codes for one of the serotonin receptors) and PC4 with COL4A2 in women. In the sexes-combined sample, AKAP6 was associated with PC2 (p=1.40 x 10(-7)). A single nucleotide polymorphism (SNP) in HTR1E was also associated with the risk of nonvertebral fractures in women (p=0.005). Functions of top associated genes were enriched for the skeletal and muscular system development (p<0.05). In conclusion, multivariate combination provides genetic associations not identified in the analysis of primary phenotypes. Genome-wide screening for the linear combinations of multiple osteoporosis-related phenotypes suggests that there are variants with potentially pleiotropic effects in established and novel pathways to be followed up to provide further evidence of their functions. (C) 2012 American Society for Bone and Mineral Research

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