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

• Published in: Osteoporosis international Vol. 20; no. 2; pp. 341 - 346
• Main Authors: Zhang, H, Sol-Church, K, Rydbeck, H, Stabley, D, Spotila, L. D, Devoto, M
• Format: Journal Article
• Language: English
• Published: London London : Springer-Verlag 01.02.2009; Springer-Verlag; Springer Nature B.V
• Subjects: Association; Bone density; Bone Density - genetics; Carrier Proteins - genetics; Chromosome 1p36; Chromosomes; Chromosomes, Human, Pair 1; Endocrinology; European Continental Ancestry Group; Femur - physiopathology; Femur Neck - physiopathology; Genetic Linkage; Genetic Markers; Genetics; Genotype; Humans; Linkage; Lumbar Vertebrae - physiopathology; Medicine; Medicine & Public Health; Original Article; Orthopedics; Osteoporosis; Osteoporosis - genetics; Osteoporosis - physiopathology; Pedigree; Polymorphism, Single Nucleotide; Quantitative Trait, Heritable; Rheumatology; Chromosome 1p36; Osteoporosis; Bone mineral density; Association; Linkage
• ISSN: 0937-941X; 1433-2965
• DOI: 10.1007/s00198-008-0668-1

Summary A quantitative trait locus (QTL) for BMD maps to chromosome 1p36. We have analyzed a high density SNP panel from this region for linkage and association to BMD in 39 osteoporosis pedigrees. Our results support the presence of genes controlling BMD on 1p36 and indicate new candidates for further analyses. Introduction Low BMD is one of the major risk factors for osteoporosis. Following a genome scan in a sample of Caucasian families recruited through probands with low BMD, a region on 1p36 near marker D1S214 received support as a QTL for BMD from linkage (maximum lod-score = 2.87) and linkage disequilibrium (LD) analysis (p < 0.01). Methods To better characterize the genetic risk factors for low BMD located in this genomic region, we have genotyped the same group of families for 1095 SNPs located across 11 Mb on 1p36. Linkage and LD analyses have been performed using the variance component approach. Results Multivariate linkage analysis indicated two QTLs for femoral neck BMD, lumbar spine BMD and trochanter BMD simultaneously on 1p36, with maximum lod-scores of 4.37 at 12 cM and 3.59 at 22 cM. LD analysis identified several SNPs potentially associated with BMD, including the RERE gene SNP rs11121179 (p = 0.000005 for lumbar spine BMD). Other candidate genes include G1P2, SSU72 and CCDC27 (each containing 1 SNP with p < 0.001 for at least one BMD trait). Conclusions This study supports the presence in 1p36 of QTLs affecting BMD at multiple skeletal sites. Replication of our results in other independent cohorts is warranted.