Low bone mineral density (BMD) is a major risk factor for osteoporotic fracture. Studies of BMD in families and twins have shown that this trait is under strong genetic control. To identify regions of the genome that contain quantitative trait loci (QTL) for BMD, we performed independent genomewide screens, using two complementary study designs. We analyzed unselected nonidentical twin pairs (1,094 pedigrees) and highly selected, extremely discordant or concordant (EDAC) sib pairs (254 pedigrees). Nonparametric multipoint linkage (NPL) analyses were undertaken for lumbar spine and total-hip BMD in both cohorts and for whole-body BMD in the unselected twin pairs. The maximum evidence of linkage in the unselected twins (spine BMD, LOD 2.7) and the EDAC pedigrees (spine BMD, LOD 2.1) was observed at chromosome 3p21 (76 cM and 69 cM, respectively). These combined data indicate the presence, in this region, of a gene that regulates BMD. Furthermore, evidence of linkage in the twin cohort (whole-body BMD; LOD 2.4) at chromosome 1p36 (17 cM) supports previous findings of suggestive linkage to BMD in the region. Weaker evidence of linkage (LOD 1.0-2.3) in either cohort, but not both, indicates the locality of additional QTLs. These studies validate the use, in linkage analysis, of large cohorts of unselected twins phenotyped for multiple traits, and they highlight the importance of conducting genome scans in replicate populations as a prelude to positional cloning and gene discovery.
Obesity is a multifactorial disorder with a complex phenotype. It is a significant risk factor for diabetes and hypertension. We assessed obesity-related traits in a large cohort of twins and performed a genome-wide linkage scan and positional candidate analysis to identify genes that play a role in regulating fat mass and distribution in women. Dizygous female twin pairs from 1094 pedigrees were studied (mean age 47.0711.5 years (range 18 -79 years)). Nonparametric multipoint linkage analyses showed linkage for central fat mass to 12q24 (141 cM) with LOD 2.2 and body mass index to 8q11 (67 cM) with LOD 1.3, supporting previously established linkage data. Novel areas of suggestive linkage were for total fat percentage at 6q12 (LOD 2.4) and for total lean mass at 2q37 (LOD 2.4). Data from follow-up fine mapping in an expanded cohort of 1243 twin pairs reinforced the linkage for central fat mass to 12q24 (LOD 2.6; 143 cM) and narrowed the -1 LOD support interval to 22 cM. In all, 45 single-nucleotide polymorphisms (SNPs) from 26 positional candidate genes within the 12q24 interval were then tested for association in a cohort of 1102 twins. Single-point Monks -Kaplan analysis provided evidence of association between central fat mass and SNPs in two genes -PLA2G1B (P ¼ 0.0067) and P2RX4 (P ¼ 0.017). These data provide replication and refinement of the 12q24 obesity locus and suggest that genes involved in phospholipase and purinoreceptor pathways may regulate fat accumulation and distribution.
A genome-wide screen was performed on a large cohort of dizygous twin pairs to identify regions of the genome that contain QTL for QUS of bone. Suggestive linkage of QUS parameters to 2q33-37 and 4q12-21 highlighted these regions as potentially important for studies of genes that regulate bone. Introduction:The genetics of osteoporotic fracture is only partly explained by bone mineral density (BMD). Quantitative ultrasound (QUS) of the calcaneus can also be used for independent clinical assessment of osteoporotic fracture risk. Two specific indices are derived from this assessment: broadband ultrasound attenuation (BUA) and velocity of sound (VOS). Both parameters provide information on fracture risk; however, BUA has been studied more extensively and may be favored because it is thought to have a stronger predictive value for osteoporotic fracture and incorporates aspects of trabecular structure and bone quality as well as BMD. Studies of QUS in twins have shown that both derived parameters are under substantial genetic control, independent of BMD. Materials and Methods: To identify regions of the genome that contain quantitative trait loci (QTL) for QUS of bone, we performed a genome-wide screen on a large cohort of dizygous twin pairs. Unselected female dizygous twins from 1067 pedigrees from the St Thomas' UK Adult Twin Registry were genome scanned (737 highly polymorphic microsatellite markers). Multipoint linkage analyses provided maximum evidence of linkage for BUA (LOD 2.1-5.1) to 2q33-37. Linkage for VOS (LOD 2.2-3.4) was maximal at 4q12-21. Potential evidence of linkage in the cohort indicated five other possible locations of QTL (LOD Ͼ2.0) relevant to bone density or structure on chromosomes 1, 2, 13, 14, and X. Results and Conclusions: This study has identified eight genomic locations with linkage of LOD Ͼ2.0. This data should be of value in assisting researchers to localize genes that regulate bone mass and microstructure. These results should complement genome screens of BMD and bone structure and serve to enable further targeted positional candidate and positional cloning studies to advance our understanding of genetic control of bone quality and risk of fracture.
Objective. To perform a large-scale association analysis of single-nucleotide polymorphisms (SNPs) in patients with radiographically defined osteoarthritis (OA) of the knee.Methods. We examined >25,000 SNPs located within ϳ14,000 genes for associations with radiographically defined knee OA, using polymerase chain reaction and MassExtend amplification techniques. Allele frequencies were estimated initially in DNA pools from 335 female patients with knee OA and 335 asymptomatic and radiographically negative female control subjects. All were of northern European ancestry. Significant allele frequency differences were validated by genotyping of individual DNA samples. Confirmed significant findings were verified in 2 additional case-control samples from the UK (443 cases and 303 controls) and Newfoundland (346 cases and 264 controls). Chondrosarcoma cell lines were used to test for potential differences in gene expression.Results. The marker most strongly associated with the risk of knee OA was rs912428, a C/T polymorphism in intron 1 of LRCH1, a gene on chromosome 13q14 that encodes a novel protein of as-yet-unknown function. The frequency of the T allele compared with controls was consistently increased by 40% across all 3 case-control groups. Additional subanalyses in casecontrol samples with hip OA and hand OA suggested similar trends, but did not reach statistical significance. Association fine-mapping using 10 additional SNPs in LRCH1 confirmed intron 1 as the region of highest association but failed to reveal variations with significance stronger than the marker SNP, as did the haplotype analysis. LRCH1 was not up-regulated or overexpressed in chondrosarcoma cell lines exposed to inflammatory stimuli, suggesting a possible structural role.Conclusion. A genetic variant in LRCH1 was consistently associated with knee OA in 3 samples from 2 populations. Our results also suggest that the same association with OA may exist at other sites. Additional genetic and experimental work is needed to elucidate the precise mechanism by which the LRCH1 gene influences OA risk.Osteoarthritis (OA) is a degenerative joint disease that primarily affects the knees, hips, hands, and spine (1). The biology and epidemiology of OA seem to differ between sites, with a different balance of risk factors and age at onset for different sites. For genetic purposes, site-specific classification is likely to be important, with differential linkage and association results for the hip and the spine (2).
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