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Quantitative trait loci, genes, and polymorphisms that regulate bone mineral density in mouse.

ABSTRACT: This is an in silico analysis of data available from genome-wide scans. Through analysis of QTL, genes and polymorphisms that regulate BMD, we identified 82 BMD QTL, 191 BMD-associated (BMDA) genes, and 83 genes containing known BMD-associated polymorphisms (BMDAP). The catalogue of all BMDA/BMDAP genes and relevant literatures are provided. In total, there are substantially more BMDA/BMDAP genes in regions of the genome where QTL have been identified than in non-QTL regions. Among 191 BMDA genes and 83 BMDAP genes, 133 and 58 are localized in QTL regions, respectively. The difference was still noticeable for the chromosome distribution of these genes between QTL and non-QTL regions. These results have allowed us to generate an integrative profile of QTL, genes, polymorphisms that determine BMD. These data could facilitate more rapid and comprehensive identification of causal genes underlying the determination of BMD in mouse and provide new insights into how BMD is regulated in humans.

SUBMITTER: Xiong Q

PROVIDER: S-EPMC2901167 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

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Quantitative trait loci, genes, and polymorphisms that regulate bone mineral density in mouse.

Xiong Qing Q Jiao Yan Y Hasty Karen A KA Canale S Terry ST Stuart John M JM Beamer Wesley G WG Deng Hong-Wen HW Baylink David D Gu Weikuan W

Genomics 20090114 5

This is an in silico analysis of data available from genome-wide scans. Through analysis of QTL, genes and polymorphisms that regulate BMD, we identified 82 BMD QTL, 191 BMD-associated (BMDA) genes, and 83 genes containing known BMD-associated polymorphisms (BMDAP). The catalogue of all BMDA/BMDAP genes and relevant literatures are provided. In total, there are substantially more BMDA/BMDAP genes in regions of the genome where QTL have been identified than in non-QTL regions. Among 191 BMDA gene ...[more]

PMID: 19150398

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Project description:Aiming to identify more genomic loci associated with bone mineral density (BMD), we conducted a joint association analysis of 2 genome-wide association study (GWAS) by the integrative association method multi-trait analysis of GWAS (MTAG). The first one is the single GWAS of estimated heel BMD (eBMD) in the UK biobank (UKB) cohort (N = 426,824), and the second one is the GWAS meta-analysis of total body BMD (TB-BMD) in 66,628 participants from 30 studies. Approximate conditional association analysis was performed in the identified novel loci to identify secondary association signal. Statistical fine-mapping was conducted to prioritize plausible credible risk variants (CRVs). Candidate genes were prioritized based on the analyses of cis- expression quantitative trait locus (cis-eQTL) and cis-protein QTL (cis-pQTL) information as well as the functional category of the SNP. By integrating the information carried in over 490,000 participants, this largest joint analysis of BMD GWAS identified 12 novel genomic loci at the genome-wide significance level (GWS, p = 5.0 × 10-8), nine of which were for eBMD and four were for TB-BMD, explaining an additional 0.11 and 0.23% heritability for the two traits, respectively. These loci include 1p33 (lead SNP rs10493130, peBMD = 3.19 × 10-8), 5q13.2 (rs4703589, peBMD = 4.78 × 10-8), 5q31.3 (rs9324887, pTB-BMD = 1.36 × 10-9), 6p21.32 (rs6905837, peBMD = 3.32 × 10-8), 6q14.1 (rs10806234, peBMD = 2.63 × 10-8), 7q21.11 (rs10806234, pTB-BMD = 3.37 × 10-8), 8q24.12 (rs11995866, peBMD = 6.72 × 10-9), 12p13.31 (rs1639122, peBMD = 4.43 × 10-8), 12p12.1 (rs58489179, peBMD = 4.74 × 10-8), 12q24.23 (rs75499226, peBMD = 1.44 × 10-8), 19q13.31 (rs7255083, pTB-BMD = 2.18 × 10-8) and 22q11.23 (rs13056137, pTB-BMD = 2.54 × 10-8). All lead SNPs in these 12 loci are nominally significant in both original studies as well as consistent in effect direction between them, providing solid evidence of replication. Approximate conditional analysis identified one secondary signal in 5q13.2 (rs11738874, pconditional = 5.06 × 10-9). Statistical fine-mapping analysis prioritized 269 CRVs. A total of 65 candidate genes were prioritized, including those with known biological function to bone development (such as FGF1, COL11A2 and DEPTOR). Our findings provide novel insights into a better understanding of the genetic mechanism underlying bone development as well as candidate genes for future functional investigation.

Dataset Information

Quantitative trait loci, genes, and polymorphisms that regulate bone mineral density in mouse.

Publications

Quantitative trait loci, genes, and polymorphisms that regulate bone mineral density in mouse.

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