John Pa Ioannidis1,2,3, Mandy Y Ng4,5, Pak C Sham4,6, Elias Zintzaras7, Cathryn M Lewis8, Hong-Wen Deng9,10,11, Michael J Econs12, David Karasik13, Marcella Devoto14, Candace M Kammerer15, Tim Spector16, Toby Andrew16, L Adrienne Cupples17, Emma L Duncan18, Tatiana Foroud12, Douglas P Kiel13, Daniel Koller12, Bente Langdahl19, Braxton D Mitchell20, Munro Peacock12, Robert Recker9, Hui Shen11, Katia Sol-Church21, Loretta D Spotila22, Andre G Uitterlinden23, Scott G Wilson24, Annie Wc Kung5, Stuart H Ralston25. 1. Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. 2. Biomedical Research Institute, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece. 3. Institute for Clinical Research and Health Policy Studies, Department of Medicine, Tufts-New England Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA. 4. Genome Research Center, The University of Hong Kong, Hong Kong, China. 5. Department of Medicine, The University of Hong Kong and Queen Mary Hospital, Hong Kong, China. 6. Institute of Psychiatry, King's College London, London, United Kingdom. 7. Biomathematics Unit, University of Thessaly School of Medicine, Larissa, Greece. 8. Department of Medical and Molecular Genetics, King's College London, London, United Kingdom. 9. Osteoporosis Research Center, Creighton University, Omaha, Nebraska, USA. 10. College of Life Sciences, Hunan Normal University, Hunan, China. 11. Departments of Orthopedic Surgery and Basic Medical Sciences, University of Missouri-Kansas City, Kansas City, Missouri, USA. 12. Departments of Medicine and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA. 13. Hebrew SeniorLife and Harvard Medical School Division of Aging, Boston, Massachusetts, USA. 14. Division of Human Genetics, CHOP, Philadelphia, Pennsylvania, USA. 15. Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. 16. Twin and Genetic Epidemiology Research Unit, St Thomas' Hospital, London, United Kingdom. 17. Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA. 18. Department of Endocrinology, Oxford Centre for Diabetes, Endocrinology and Metabolism, the Churchill Hospital, Oxford, United Kingdom. 19. Department of Endocrinology, Aarhus University Hospital, Aarhus, Denmark. 20. Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA. 21. Department of Biomedical Research, Nemours' Childrens Clinic, Wilmington, Delaware, USA. 22. ScienceScribe, Haddonfield, New Jersey, USA. 23. Departments of Medicine and Epidemiology and Biostatistics, Erasmus University, Rotterdam, Netherlands. 24. Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia. 25. Rheumatic Diseases Unit, Molecular Medicine Centre, Western General Hospital, Edinburgh, Scotland.
Abstract
UNLABELLED: Several genome-wide scans have been performed to detect loci that regulate BMD, but these have yielded inconsistent results, with limited replication of linkage peaks in different studies. In an effort to improve statistical power for detection of these loci, we performed a meta-analysis of genome-wide scans in which spine or hip BMD were studied. Evidence was gained to suggest that several chromosomal loci regulate BMD in a site-specific and sex-specific manner. INTRODUCTION: BMD is a heritable trait and an important predictor of osteoporotic fracture risk. Several genome-wide scans have been performed in an attempt to detect loci that regulate BMD, but there has been limited replication of linkage peaks between studies. In an attempt to resolve these inconsistencies, we conducted a collaborative meta-analysis of genome-wide linkage scans in which femoral neck BMD (FN-BMD) or lumbar spine BMD (LS-BMD) had been studied. MATERIALS AND METHODS: Data were accumulated from nine genome-wide scans involving 11,842 subjects. Data were analyzed separately for LS-BMD and FN-BMD and by sex. For each study, genomic bins of 30 cM were defined and ranked according to the maximum LOD score they contained. While various densitometers were used in different studies, the ranking approach that we used means that the results are not confounded by the fact that different measurement devices were used. Significance for high average rank and heterogeneity was obtained through Monte Carlo testing. RESULTS: For LS-BMD, the quantitative trait locus (QTL) with greatest significance was on chromosome 1p13.3-q23.3 (p = 0.004), but this exhibited high heterogeneity and the effect was specific for women. Other significant LS-BMD QTLs were on chromosomes 12q24.31-qter, 3p25.3-p22.1, 11p12-q13.3, and 1q32-q42.3, including one on 18p11-q12.3 that had not been detected by individual studies. For FN-BMD, the strongest QTL was on chromosome 9q31.1-q33.3 (p = 0.002). Other significant QTLs were identified on chromosomes 17p12-q21.33, 14q13.1-q24.1, 9q21.32-q31.1, and 5q14.3-q23.2. There was no correlation in average ranks of bins between men and women and the loci that regulated BMD in men and women and at different sites were largely distinct. CONCLUSIONS: This large-scale meta-analysis provided evidence for replication of several QTLs identified in previous studies and also identified a QTL on chromosome 18p11-q12.3, which had not been detected by individual studies. However, despite the large sample size, none of the individual loci identified reached genome-wide significance.
UNLABELLED: Several genome-wide scans have been performed to detect loci that regulate BMD, but these have yielded inconsistent results, with limited replication of linkage peaks in different studies. In an effort to improve statistical power for detection of these loci, we performed a meta-analysis of genome-wide scans in which spine or hip BMD were studied. Evidence was gained to suggest that several chromosomal loci regulate BMD in a site-specific and sex-specific manner. INTRODUCTION: BMD is a heritable trait and an important predictor of osteoporotic fracture risk. Several genome-wide scans have been performed in an attempt to detect loci that regulate BMD, but there has been limited replication of linkage peaks between studies. In an attempt to resolve these inconsistencies, we conducted a collaborative meta-analysis of genome-wide linkage scans in which femoral neck BMD (FN-BMD) or lumbar spine BMD (LS-BMD) had been studied. MATERIALS AND METHODS: Data were accumulated from nine genome-wide scans involving 11,842 subjects. Data were analyzed separately for LS-BMD and FN-BMD and by sex. For each study, genomic bins of 30 cM were defined and ranked according to the maximum LOD score they contained. While various densitometers were used in different studies, the ranking approach that we used means that the results are not confounded by the fact that different measurement devices were used. Significance for high average rank and heterogeneity was obtained through Monte Carlo testing. RESULTS: For LS-BMD, the quantitative trait locus (QTL) with greatest significance was on chromosome 1p13.3-q23.3 (p = 0.004), but this exhibited high heterogeneity and the effect was specific for women. Other significant LS-BMD QTLs were on chromosomes 12q24.31-qter, 3p25.3-p22.1, 11p12-q13.3, and 1q32-q42.3, including one on 18p11-q12.3 that had not been detected by individual studies. For FN-BMD, the strongest QTL was on chromosome 9q31.1-q33.3 (p = 0.002). Other significant QTLs were identified on chromosomes 17p12-q21.33, 14q13.1-q24.1, 9q21.32-q31.1, and 5q14.3-q23.2. There was no correlation in average ranks of bins between men and women and the loci that regulated BMD in men and women and at different sites were largely distinct. CONCLUSIONS: This large-scale meta-analysis provided evidence for replication of several QTLs identified in previous studies and also identified a QTL on chromosome 18p11-q12.3, which had not been detected by individual studies. However, despite the large sample size, none of the individual loci identified reached genome-wide significance.
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