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Submitted on March 27, 2008
Accepted on July 23, 2008
Department of Endocrinology & Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Belgium (JMK, IVP, KT); INSERM U606, Paris, France (AO, MCS, MCdV); INSERM U563, Toulouse, France (ASP, MM); Centre National de Génotypage, Evry, France (AB); and Department of Endocrinology, OLV Ziekenhuis Aalst, Belgium (IVP)
* To whom correspondence should be addressed. E-mail: maria.martinez{at}toulouse.inserm.fr.
Context: Bone mass is under strong genetic control, with heritability estimates >50%, and is likely determined by complex interactions between genetic and environmental factors
Objective: To localize genes contributing to Bone Mineral Density variation.
Design: An autosomal genome-wide scan for BMD at the Lumbar Spine and at the Femoral Neck was conducted with variance components linkage methods.
Participants: 103 pedigrees (NEMO Family Study) ascertained through a male relative with low (Z-score
-2) BMD values at either Lumbar Spine or Femoral Neck.
Main outcome measures: Non-parametric multipoint LOD scores for Lumbar Spine and Femoral Neck BMD values adjusted for age, gender and BMI.
Results: We identified a total of 8 chromosomal regions with LOD score
1.5 (P
5x10-3): on 1q42–43, 11q12–13, 12q23–24, 17q21–23, 21q22 and 22q11 for Lumbar Spine, and on 5q31–33 and 13q12–14 for Femoral Neck BMD.
Conclusions: Four of our detected Quantitative Trait Loci (QTL) reached the genome-wide criteria for "significant" (17q,21–23, P
2x10-5) or "suggestive" (11q12–13, 22q11 and 13q12–14, P
7x10-4) linkage. Apart from 22q11, which is a novel QTL, all other loci provide consistent replication for previously reported QTLs for BMD and other bone-related traits. Finally, several of our specific-linkage areas encompass prominent candidate genes: type 1 collagen (COL1A1) and the sclerosteosis/van Buchem disease (SOST) genes on 17q21–23; the low-density lipoprotein receptor-related protein 5 (LRP5) gene on 11q12–13, and the Rank Ligand gene on 13q12–14. Further analysis of these positive regions by fine LD-mapping is thus warranted.
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