eISSN: 2221-6197 DOI: 10.31301/2221-6197

Genetics of osteoporosis

Year: 2014

Pages: 24-51

Number: Volume 6, issue 1

Type: scientific article

Summary:

This review reflects the achievements in the field of genetics of osteoporosis, as well as modern approaches and directions for further research of the disease. Osteoporosis occupies a prominent place among the diseases with high mortality and causes more than 8.9 million annual fractures worldwide, and is characterized by low bone mineral density (BMD) and microarchitectural bone disorders. The prevalence of osteoporosis varies widely, reaching 5-10 fold differences between geographical regions, which is probably due to the hereditary nature of the magnitude of the skeleton and regional peculiarities of diet and physical activity, as well as features of the genetic structure of populations. The study of genetics of osteoporosis began a new era of discovery with the beginning of genome-wide association studies (GWAS) of hundreds of thousands single nucleotide polymorphisms (SNPs) with BMD level and osteoporotic fractures, identified new loci associated with osteoporosis, which were not detected in previous studies of candidate genes.

Keywords:

osteoporosis, bone mineral density, fractures, genome-wide association studies

References:

  1. 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing // Nature. – 2010. – V. 467. – P.1061–1073.
  2. Albagha O.M., Wani S.E., Visconti M.R., et al. Genome-wide association identifies three new susceptibility loci for Paget's disease of bone // Nat Genet. - 2011. – V. 43. – P. 685–689. 
  3. Altshuler D., Daly M.J., Lander E.S. Genetic mapping in human disease // Science. – 2008. – V. 322. – P. 881–888.
  4. Altshuler D.M., Gibbs R.A., Peltonen L., et al. Integrating common and rare genetic variation in diverse human populations // Nature. – 2010. – V. 467. – P. 52–58.
  5. Anderson C.A., Boucher G., Lees C.W., et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47 // Nat Genet. - 2011. – V. 43. – P. 246–252.
  6. Andrew T., Antioniades L., Scurrah K.J., et al. Risk of wrist fracture in women is heritable and is influenced by genes that are largely independent of those influencing BMD // J Bone Miner Res. – 2005. – V. 20. – P. 67–74.
  7. Anonymous: Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis // The American Journal of Medicine. – 1993. – V. 94. – P. 646–650.
  1. Bacon C.J., Bolland M.J., Ames R.W., et al. Prevalent dietary supplement use in older New Zealand men // Z. Med. J. – 2011. – V. 124. – P. 55–62.
  1. Billings L., Hsu Y.H., Ackerman R., et al. Leveraging genome-wide association data to detect genetic pleiotropy at loci associated with glycemic and skeletal phenotypes // Diabetes. – 2012. – V. 61. P. 2176–2186.
  1. Bliuc D., Nguyen N.D., Milch V.E., et al. Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women // – 2009. – V. 301. – P. 513–521.
  2. Campbell H. & Rudan I. Interpretation of genetic association studies in complex disease // Pharmacogenomics J. – 2002. – V. – P. 349–360.
  3. Center J.R., Bliuc D., Nguyen T.V. & Eisman J.A. Risk of subsequent fracture after low-trauma fracture in men and women // – 2007. V. 297. – P. 387–394.
  4. Center J.R., Nguyen T.V., Sambrook P.N. & Eisman J.A. Hormonal and biochemical parameters in the determination of osteoporosis in elderly men // Clin. Endocrinol. Metab. – 1999. – V. 84. P. 3626–3635.
  1. Chew S., Mullin B.H., Lewis J.R., et al. Homozygous deletion of the UGT2B17 gene is not associated with osteoporosis risk in elderly Caucasian women // Osteoporos Int. – 2011. – V. 22. – P. 1981–1986.
  1. Cho I., Yamanishi S., Cox L., et al. Antibiotics in early life alter the murine colonic microbiome and adiposity // - 2012. - V. 488. - P. 621–626.
  1. Cho Y.S., Go M.J., Kim Y.J., et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits // Nat Genet. - 2009. – V. 41. - P. 527–534.
  2. Clarke B. Normal bone anatomy and physiology // Clin J Am Soc Nephrol. – 2008. – V. 3. - Suppl 3. - S131–S139.
  1. Cook N.R. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve // Chem. – 2008. – V. 54. P. 17–23.
  1. Delgado-Calle J., Garmilla P., Riancho JA. Do epigenetic marks govern bone mass and homeostasis? // Curr Genomics. – 2012a. – V. 13. – P. 252–263.
  2. Delgado-Calle J., Sañudo C., Fernández A.F., et al. Role of DNA methylation in the regulation of the RANKL-OPG system in human bone // Epigenetics. – 2012b. – V. 7. – P. 83–91.
  3. Deng F.Y., Zhao L.J., Pei Y.F., et al. Genome-wide copy number variation association study suggested VPS13B gene for osteoporosis in Caucasians // Osteoporos Int. - 2010. - V. 21. P. 579–587.
  4. Der Simonian R, Laird N. Meta-analysis in clinical trials // Control Clin Trials. - 1986. – V. 7. – P. 177–188.
  5. Dickson S.P., Wang K., Krantz I., et al. Rare variants create synthetic genome-wide associations // PLoS Biol. - 2010. – V. 8:e1000294.
  6. Duncan E.L., Danoy P., Kemp J.P., et al. Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk // PLoS Genet. - 2011. – V. 7. - e1001372.
  7. Estrada K., Styrkarsdottir U., Evangelou E., et al. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture // Nat Genet. 2012. V. 44. P. 491-501.
  1. Evans R.A., Marel G.M., Lancaster E.K. et al. Bone mass is low in relatives of osteoporotic patients // Intern. Med. - 1988. – V. 109. - P. 870–873.
  1. Farber Charles R. Systems Genetics: A Novel Approach to Dissect the Genetic Basis of Osteoporosis // Curr Osteoporos Rep. – 2012. – V. 10(3). P. 228–235.
  2. Franke A., McGovern D.P., Barrett J.C., et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci // Nat Genet. - 2010. – V. 42. – P.1118–1125. 
  3. Gass M., Dawson-Hughes B.. Preventing osteoporosis-related fractures: an overview // Am J Med. – 2006. – V. 119. - S3–S11.
  4. Goh K.I., Cusick M.E., Valle D., et al. The human disease network // Proc Natl Acad Sci USA. - 2007. – V. 104. P. 8685–8690.
  5. Gong Y., Slee R.B., Fukai N., et al; Osteoporosis-Pseudoglioma Syndrome Collaborative Group. LDL receptor-related protein 5 (LRP5) affects bone accrual and eye development // Cell. – 2001. – V. 107. – P. 513–523.
  6. Guo Y., Tan L.J., Lei S.F., et al. 2010. Genome-wide association study identifies ALDH7A1 as a novel susceptibility gene for osteoporosis // PLoS Genet. – V. 6. - e1000806.
  1. Haentjens P., Magaziner J., Colon-Emeric C.S., et al. Meta-analysis: excess mortality after hip fracture among older women and men // Ann Intern Med. – 2010. V. 152. - P. 380–390.
  2. Hallberg I., Rosenqvist A.M., Kartous L., et al. Health-related quality of life after osteoporotic fractures // Osteoporos Int. – 2004. – V.15. – P. 834–841.
  3. Hayashi M., Nakashima T., Taniguchi M., et al. Osteoprotection by semaphorin 3A // – 2012. – V. 485. – P. 69–74.
  1. Heinzen E.L., Radtke R.A., Urban T.J., et al. Rare deletions at 16p13.11 predispose to a diverse spectrum of sporadic epilepsy syndromes // Am J Hum Genet. - 2010. – V. 86. P. 707–718.
  2. Higgins J.P., Thompson S.G. Quantifying heterogeneity in a meta-analysis // Stat Med. - 2002. – V. 21. P. 1539–1558.
  3. Hirschhorn J.N., Daly M.J. Genome-wide association studies for common diseases and complex traits // Nat Rev Genet. - 2005. – V. 6. – P. 95–108.
  4. Hoffmann T.J., Kvale M.N., Hesselson S.E., et al. Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array // Genomics.  2011. V. 98. P. 79–89.
  5. Hopkins R.B., Goeree R., Pullenayegum E., et al. The relative efficacy of nine osteoporosis medications for reducing the rate of fractures in post-menopausal women // BMC Musculoskelet Disord. – 2011. – V. 12. P. 209.
  1. Howard G.M., Nguyen T.V., Harris M., et al. Genetic and environmental contributions to the association between quantitative ultrasound and bone mineral density measurements: a twin study // Bone Miner. Res. – 1998. – V. 13. – P. 1318–1327.
  1. Hsu Y., Beck T.J., Brown S.J., et al. Meta-analysis of genome-wide association study (GWAS) identifies several genes for hip bone geometry in Caucasians: the Genetic Factors for Osteoporosis (GEFOS) Consortium // J Bone Miner Res. - 2010. – V. 25 (Suppl 1):S448.
  2. Hsu Y.H., Chen X., Zillikens C., et al. Multi-phenotype genome-wide association meta-analysis on both lean body mass and BMD identified novel pleiotropic genes that affected skeletal muscle and bone metabolism in European descent Caucasian populations // J Bone Miner Res. 2011. V. 26: (Suppl 1):S56.
  3. Hsu Y.H., Kiel D.P. Clinical review: Genome-wide association studies of skeletal phenotypes: what we have learned and where we are headed. // Clin Endocrinol Metab. – 2012. V. 97. - E1958-77.
  1. Huang, Q. Y., Recker, R. R. & Deng, H. W. Searching for osteoporosis genes in the post-genome era: progress and challenges // Osteoporos. - 2003– V. 14. P. 701–715.
  1. Hui S.L., Koller D.L., Foroud T.M., et al. Heritability of changes in bone size and bone mass with age in premeno­pausal white sisters // J Bone Miner Res. - 2006. V. 21. – P. 1121–1125.
  2. Ji W., Foo J.N., O'Roak B.J., et al. Rare independent mutations in renal salt handling genes contribute to blood pressure variation // Nat Genet. - 2008. – V. 40. - P. 592–599. 
  1. Kanis, J. A., Johansson H., Oden A., et al. A family history of fracture and fracture risk: a meta-analysis // – 2004. – V. 35. P. 1029–1037.
  2. Kanis, J. A., Johnell, O., Oden, A., Johansson, H. & McCloskey, E. FRAX and the assessment of fracture probability in men and women from the UK // Osteoporos. -2008. V. 19. P. 385–397.
  1. Karasik D., Hsu Y.H., Zhou Y., et al. Genome-wide pleiotropy of osteoporosis-related phenotypes: the Framingham Study // J Bone Miner Res. - 2010. – V. 25. P. 1555–1563.
  2. Kiel D.P., Demissie S., Dupuis J., et al. Genome-wide association with bone mass and geometry in the Framingham Heart Study // BMC Med Genet. – 2007. – V. 8 (Suppl 1):S14.
  3. Koller D.L., Ichikawa S., Lai D., et al. Genome-wide association study of bone mineral density in premenopausal European-American women and replication in African-American women // J Clin Endocrinol Meta b. - 2010. – V. 95. – P. 1802–1809.
  4. Kou I., Takahashi A., Urano T., et al. Common variants in a novel gene, FONG on chromosome 2q33.1 confer risk of osteoporosis in Japanese // PLoS One. - 2011. - 6:e19641.
  5. Kryukov GV, Shpunt A, Stamatoyannopoulos JA, Sunyaev SR. 2009. Power of deep, all-exon resequencing for discovery of human trait genes // PNAS USA. - V. 106. - P. 3871–3876.
  6. Kung A.W.C., Xiao S-M., Cherny S., et al. Association of JAG1 with bone mineral density and osteoporotic fractures: a genome-wide association study and follow-up replication studies // American Journal of Human Genetics. – 2010. – V. 86. – P. 229–239.
  7. Lango Allen H., Estrada K., Lettre G., et al. Hundreds of variants clustered in genomic loci and biological pathways affect human height // Nature. - 2010. – V. 467. - P. 832–838.
  8. Li Y., Willer C.J., Ding J., et al. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes // Genet Epidemiol. - 2010. – V. 34. - P. 816–834. 
  9. Liu C.T., Estrada K., Yerges-Armstrong L.M., et al. Assessment of gene-by-sex interaction effect on bone mineral density // J Bone Miner Res. - 2012. – V. 27. – P. 2051-64.
  10. Liu S.L., Lei S.F., Yang F., et al. Copy number variation in CNP267 region may be associated with hip bone size // PLoS One. - 2011. - 6:e22035. 
  11. Liu Y.Z., Wilson S.G., Wang L., et al. Identification of PLCL1 gene for hip bone size variation in females in a genome-wide association study // PLoS One. - 2008. - 3:e3160. 
  12. Lui J.C., Nilsson O., Chan Y., et al. Synthesizing genome-wide association studies and expression microarray reveals novel genes that act in the human growth plate to modulate height // Hum Mol Genet. – 2012. V. 21. P. 5193–5201.
  1. Lyles K.W., Colon-Emeric C.S., Magaziner J.S., et al; HORIZON Recurrent Fracture Trial. Zoledronic acid and clinical fractures and mortality after hip fracture // N Engl J Med. – 2007. V. 357. P. 1799–1809.
  1. MacArthur D.G., Balasubramanian S., Frankish A., et al. A systematic survey of loss-of-function variants in human protein-coding genes // Science. - 2012. – V. 335. – P. 823–828.
  2. Makovey J., Nguyen T.V., Naganathan V., et al. Genetic effects on bone loss in peri- and postmenopausal women: a longitudinal twin study // J Bone Miner Res. – 2007. – V. 22. – P. 1773–1780.
  3. Marchini J, Donnelly P, Cardon LR. Genome-wide strategies for detecting multiple loci that influence complex diseases // Nat Genet. - 2005. – V. 37. – P. 413–417.
  4. McCloskey E. et al. Efficacy of clodronate on fracture risk in women selected by 10-year fracture probability // J. Bone Miner. Res. – 2007. - V. 22 (Suppl. 1). - S131.
  1. Michaëlsson K, Melhus H, Ferm H, Ahlbom A, Pedersen NL. Genetic liability to fractures in the elderly // Arch Intern Med. – 2005. - V.165. - P. 1825–1830.
  1. Mileyko Y., Joh R.I., Weitz J.S. Small-scale copy number variation and large-scale changes in gene expression // PNAS USA. - 2008. – V. 105. - P. 16659–16664.
  2. Mitchell B.D., Yerges-Armstrong L.M. The genetics of bone loss: challenges and prospects // J Clin Endocrinol Metab. – 2011. – V. 96. - P. 1258–1268.
  3. Nadeau J., Dudley A.M. Genetics // Systems genetics Science. – 2011. - V. 331. - P. 1015–1016.
  4. Nakaoka H., Inoue I. Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse // J Hum Genet. - 2009. – V. 54. - P. 615–623.
  1. Nguyen N.D., Eisman J.A., Center J.R., Nguyen T.V. Risk factors for fracture in nonosteoporotic men and women // J Clin Endocrinol Metab. – 2007. - V. 92. – P. 955–962.
  1. Nguyen N.D., Frost S.A., Center J.R., et al. Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks // Osteoporos Int. -2008. – V. 19. P. 1431–1444.
  1. Nguyen N.D., Pongchaiyakul C., Center J.R., et al. Identification of high-risk individuals for hip fracture: a 14-year prospective study // J. Bone Miner. Res. - 2005. - V. 20. - P. 1921–1928.
  2. Nguyen T.V., Eisman J.A.. Genetic profiling and individualized assessment of fracture risk. // Nat Rev Endocrinol.- 2013. – V. 9. - P.153-161.
  3. O'Roak B.J., Deriziotis P., Lee C., et al. Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations // Nat Genet. - 2011. – V. 43. – P. 585–589.
  1. Paternoster L., Lorentzon M., Vandenput L., et al. Genome-wide association meta-analysis of cortical bone mineral density unravels allelic heterogeneity at the RANKL locus and potential pleiotropic effects on bone // PLoS Genet. - 2010. - 6:e1001217. 
  2. Peacock M., Turner C.H., Econs M.J., et al. Genetics of osteoporosis // Endocrine Reviews. – 2002. – V. 23. P. 303–326.
  3. Pe'er I., de Bakker P.I., Maller J., et al. Evaluating and improving power in whole-genome association studies using fixed marker sets // Nat Genet. - 2006. – V. 38. - P. 663–667.
  1. Pencina M.J., D’Agostino R.B. Sr D’Agostino R.B. Jr & Vasan R.S. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond // Med. – 2008. - V. 27. - P. 157–172.
  2. Pepe M.S., Gu J.W. & Morris D.E. The potential of genes and other markers to inform about risk // Cancer Epidemiol. Biomarkers Prev. - 2010. – V. – P. 655–665.
  3. Pocock N.A., Eisman J.A., Hopper J.L., et al. Genetic determinants of bone mass in adults. A twin study // Clin. Invest. – 1987. – V. 80. – P. 706–710.
  4. Pongchaiyakul C., Nguyen N.D., Jones G., et al. Asymptomatic vertebral deformity as a major risk factor for subsequent fractures and mortality: a long-term prospective study // J Bone Miner Res. – 2005. - V. 20. - P. 1349–1355.
  1. Ragoussis J. Genotyping technologies for genetic research // Annu Rev Genomics Hum Genet. - 2009. – V. 10. - P. 117–133.
  1. Ralston, S. H. & Uitterlinden, A. G. Genetics of osteoporosis // Rev. -2010. V.31. P. 629–662.
  1. Rannala B., Reeve J.P. High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence // Am J Hum Genet. - 2001. – V. 69. - P. 159–178.
  2. Redon R., Ishikawa S., Fitch K.R., et al. Global variation in copy number in the human genome // Nature. - 2006. – V. 444. - P. 444–454.
  3. Reginster J-Y., Burlet N. Osteoporosis: a still increasing prevalence // Bone. -2006. V. 38. S4–9.
  4. Reich D.E., Cargill M., Bolk S., et al. Linkage disequilibrium in the human genome // Nature. - 2001. – V. 411. - P. 199–204.
  5. Richards J.B., Rivadeneira F., Inouye M., et al. Bone mineral density, osteoporosis, and osteoporotic fractures: a genome-wide association study // Lancet. - 2008. – V. 371. – P. 1505–1512.
  6. Richards J.B., Zheng H.F., Spector T.D. Genetics of osteoporosis from genome-wide association studies: advances and challenges // Nat Rev Genet. – 2012. – V. 13. – P. 576–588.
  7. Rivadeneira F., Styrkarsdottir U., Estrada K., et al. Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies // Nat Genet. – 2009. – V. 41. P. 1199–1206.
  8. Romeo S., Pennacchio L.A., Fu Y., et al. Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL // Nat Genet. - 2007. – V. 39. P. 513–516.
  1. Rose G. Sick individuals and sick populations // J. Epidemiol. – 1985. – V. 14. P. 427–432.
  1. Santos F.P., Kantarjian H., Garcia-Manero G., et al. Decitabine in the treatment of myelodysplastic syndromes // Expert Rev Anticancer Ther. – 2010. – V. 10. - P. 9–22.
  2. Seeman E., Hopper J.L., Bach L.A., et al. Reduced bone mass in daughters of women with osteoporosis // N Engl J Med. – 1989. – V. 320. - P. 554–558.
  3. Shaffer J.R., Kammerer C.M., Dressen A.S., et al. Rate of bone loss is greater in young Mexican American men than women: the San Antonio Family Osteoporosis study // Bone. 2010. V. 47. P. 49–54.
  1. Shortt N.L. & Robinson C.M. Mortality after low-energy fractures in patients aged at least 45 years old // Orthop. Trauma. – 2005. - V. 19. - P. 396–400.
  2. Sjogren, K., Engdahl C., Henning P. et al. The gut microbiota regulates bone mass in mice // Bone Miner. Res. – 2012. – V. 27. - P. 1357–1367.
  3. Sterling RS. Gender and race/ethnicity differences in hip fracture incidence, morbidity, mortality, and function // Clin Orthop Relat Res. – 2011. V. 469. – P. 1913–1918.
  1. Styrkarsdottir U., Halldorsson B.V., Gretarsdottir S., et al. Multiple genetic loci for bone mineral density and fractures // N Engl J Med. – 2008. – V. 358. P. 2355–2365.
  2. Sudmant P.H., Kitzman J.O., Antonacci F., et al. Diversity of human copy number variation and multicopy genes // Science. - 2010. – V. 330. P. 641–646. 
  3. Tan L., Liu R., Lei S., et al. A genome-wide association analysis implicates SOX6 as a candidate gene for wrist bone mass // Sci China Life Sci. - 2010. – V. 53. P. 1065–1072. 
  4. Thorleifsson G., Holm H., Edvardsson V., et al. Sequence variants in the CLDN14 gene associate with kidney stones and bone mineral density // Nat Genet. - 2009. – V. 41. P. 926–930.
  5. Timpson N.J., Tobias J.H., Richards J.B., et al. Common variants in the region around Osterix are associated with bone mineral density and growth in childhood // Hum Mol Genet. 2009. V. 18. P. 1510–1517.
  1. Tokita, A., Engdahl C., Henning P., et al. Genetic influences on type I collagen synthesis and degradation: further evidence for genetic regulation of bone turnover // Clin. Endocrinol. Metab. – 1994. – V. 78. - P. 1461–1466.
  2. Tosteson A.N., Gottlieb D.J., Radley D.C., et al. Excess mortality following hip fracture: the role of underlying health status // Osteoporos Int. – 2007. – V. 18. - P. 1463–1472.
  1. Tran B.N., Nguyen N.D., Center J.R., et al. Enhancement of absolute fracture risk prognosis with genetic marker: the collagen 1 alpha 1 gene // Calcif Tissue Int. – 2009. - V. 85. - P. 379–388.
  2. Tran B.N., Nguyen N.D., Nguyen V.X., et al. Genetic profiling and individualized prognosis of fracture // J Bone Miner Res. - 2011. – V. 26. - P. 414–419.
  3. United States Bone and Joint Initiative. The burden of musculoskel­etal diseases in the United States. - 2011. - Available from: http://www.boneandjointburden.org/. Accessed September 4, 2013.
  4. Wainwright S.A., Marshall L.M., Ensrud K.E., et al; Study of Osteoporotic Fractures Research Group. Hip fracture in women without osteoporosis // J Clin Endocrinol Metab. – 2005. - V. 90. P. 2787–2793.
  5. Wang Y., Li Y.P., Paulson C., et al. Wnt and the Wnt signaling pathway in bone development and disease // Front Biosci. – 2014. – V. 19. - P. 379-407.
  1. Wray N.R., Yang, J., Goddard, M. E. & Visscher, P. M. The genetic interpretation of area under the ROC curve in genomic profiling // PLoS Genet. – – V. 6. - e1000864.
  1. Xiong D.H., Liu X.G., Guo Y.F., et al. Genome-wide association and follow-up replication studies identified ADAMTS18 and TGFBR3 as bone mass candidate genes in different ethnic groups // Am J Hum Genet. - 2009. – V. 84. - P. 388–398.
  2. Yang T.L., Chen X.D., Guo Y., et al. Genome-wide copy-number-variation study identified a susceptibility gene, UGT2B17, for osteoporosis // Am J Hum Genet. -2008. – V. 83. – P. 663–674.
  1. Zaidi, M. & Iqbal, J. Translational medicine: Double protection for weakened bones // – 2012. – 485. – P. 47–48.
  1. Zhang L., Choi H.J., Estrada K., et al. Multistage genome-wide association meta-analyses identified two new loci for bone mineral density // Hum Mol Genet. – 2014. – V. 23(7). - P.1923-33.
  2. Zhao L.J., Liu X.G., Liu Y.Z., et al. Genome-wide association study for femoral neck bone geometry // J Bone Miner Res. - 2010. – V. 25. - P. 320–329.
  3. Zheng H.F., Spector T.D., Richards J.B. Insights into the genetics of osteoporosis from recent genome-wide association studies // Expert Rev Mol Med. – 2011. – V. 13. - e28.
  4. Zheng W., Long J., Gao Y.T., et al. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1 // Nat Genet. - 2009. – V. 41. –P. 324–328.
  5. Zuk O., Hechter E., Sunyaev S.R., Lander E.S. The mystery of missing heritability: genetic interactions create phantom heritability // Proc Natl Acad Sci USA. - 2012. – V. 109. – P. 1193–1198.
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eISSN: 2221-6197 DOI: 10.31301/2221-6197