Osteoporosis prevention, diagnosis, and therapy (2001) (in eng). Jama 285:785–95 https://doi.org/10.1001/jama.285.6.785

Ensrud KE, Crandall CJ (2017) Osteoporosis (in eng). Ann Int Med 167:17–32. https://doi.org/10.7326/aitc201708010

Article  Google Scholar 

Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures (in eng). Lancet (London, England) 359:1761–1767. https://doi.org/10.1016/s0140-6736(02)08657-9

Article  PubMed  Google Scholar 

Ballane G, Cauley JA, Luckey MM, El-Hajj Fuleihan G (2017) Worldwide prevalence and incidence of osteoporotic vertebral fractures (in eng). Osteoporosis Int 28:1531–1542. https://doi.org/10.1007/s00198-017-3909-3

Article  CAS  Google Scholar 

Qadir A, Liang S, Wu Z, Chen Z, Hu L, Qian A (2020) Senile osteoporosis: the involvement of differentiation and senescence of bone marrow stromal cells (in eng). Int J Molecul Sci. https://doi.org/10.3390/ijms21010349

Article  Google Scholar 

Kanis JA, Odén A, McCloskey EV, Johansson H, Wahl DA, Cooper C (2012) A systematic review of hip fracture incidence and probability of fracture worldwide (in eng). Osteoporos Int 23:2239–2256. https://doi.org/10.1007/s00198-012-1964-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Management of osteoporosis in postmenopausal women: the 2021 position statement of The North American Menopause Society (2021) (in eng). Menopause (New York, NY) 28:973–97 https://doi.org/10.1097/gme.0000000000001831

Zhan Y, Hägg S (2021) Association between genetically predicted telomere length and facial skin aging in the UK Biobank: a Mendelian randomization study (in eng). Geroscience 43:1519–1525. https://doi.org/10.1007/s11357-020-00283-0

Article  CAS  PubMed  Google Scholar 

Nielsen BR, Linneberg A, Christensen K, Schwarz P (2015) Perceived age is associated with bone status in women aged 25–93 years (in eng). Age (Dordr) 37:106. https://doi.org/10.1007/s11357-015-9842-5

Article  PubMed  Google Scholar 

Salzmann SN, Okano I, Rentenberger C, Winter F, Miller CO, Schadler P, Sax OC, Miller TT, Shue J, Boskey AL, Sama AA, Cammisa FP, Girardi FP, Hughes AP (2019) Skin ultrasound measurement as a potential marker of bone quality: a prospective pilot study of patients undergoing lumbar spinal fusion (in eng). J Orthopaed Res 37:2508–2515. https://doi.org/10.1002/jor.24438

Article  CAS  Google Scholar 

Figueres Juher T, Basés Pérez E (2015) [An overview of the beneficial effects of hydrolysed collagen intake on joint and bone health and on skin ageing] (in spa). Nutricion hospitalaria (RevisiÓn de los efectos beneficiosos de la ingesta de colÁgeno hidrolizado sobre la salud osteoarticular y el envejecimiento dÉrmico) 32:62–66. https://doi.org/10.3305/nh.2015.32.sup1.9482

Article  Google Scholar 

Shaw RB Jr, Katzel EB, Koltz PF, Kahn DM, Puzas EJ, Langstein HN (2012) Facial bone density: effects of aging and impact on facial rejuvenation (in eng). Aesthetic Surg J 32:937–942. https://doi.org/10.1177/1090820x12462865

Article  Google Scholar 

Jiang L, Zheng Z, Qi T, Kemper KE, Wray NR, Visscher PM, Yang J (2019) A resource-efficient tool for mixed model association analysis of large-scale data (in eng). Nat Genet 51:1749–1755. https://doi.org/10.1038/s41588-019-0530-8

Article  CAS  PubMed  Google Scholar 

Morris JA, Kemp JP, Youlten SE, Laurent L, Logan JG et al (2019) An atlas of genetic influences on osteoporosis in humans and mice (in eng). Nat Genet 51:258–266. https://doi.org/10.1038/s41588-018-0302-x

Article  CAS  PubMed  Google Scholar 

Ferrucci L, Levine ME, Kuo PL, Simonsick EM (2018) Time and the Metrics of Aging (in eng). Circ Res 123:740–744. https://doi.org/10.1161/circresaha.118.312816

Article  CAS  PubMed  PubMed Central  Google Scholar 

Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, Hou L, Baccarelli AA, Stewart JD, Li Y, Whitsel EA, Wilson JG, Reiner AP, Aviv A, Lohman K, Liu Y, Ferrucci L, Horvath S (2018) An epigenetic biomarker of aging for lifespan and healthspan (in eng). Aging 10:573–591. https://doi.org/10.18632/aging.101414

Article  PubMed  PubMed Central  Google Scholar 

Gao X, Huang N, Guo X, Huang T (2022) Role of sleep quality in the acceleration of biological aging and its potential for preventive interaction on air pollution insults: Findings from the UK Biobank cohort (in eng). Aging Cell 21:e13610. https://doi.org/10.1111/acel.13610

Article  CAS  PubMed  PubMed Central  Google Scholar 

Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL et al (2020) Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm (in eng). Elife. https://doi.org/10.7554/eLife.54870

Article  PubMed  PubMed Central  Google Scholar 

Okada Y, Wu D, Trynka G, Raj T, Terao C et al (2014) Genetics of rheumatoid arthritis contributes to biology and drug discovery (in eng). Nature 506:376–381. https://doi.org/10.1038/nature12873

Article  CAS  PubMed  Google Scholar 

Medina-Gomez C, Kemp JP, Trajanoska K, Luan J, Chesi A et al (2018) Life-course genome-wide association study meta-analysis of total body BMD and assessment of age-specific effects (in eng). Am J Hum Genet 102:88–102. https://doi.org/10.1016/j.ajhg.2017.12.005

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zheng HF, Forgetta V, Hsu YH, Estrada K, Rosello-Diez A et al (2015) Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture (in eng). Nature 526:112–117. https://doi.org/10.1038/nature14878

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kuo CL, Pilling LC, Liu Z, Atkins JL, Levine ME (2021) Genetic associations for two biological age measures point to distinct aging phenotypes (in eng). Aging Cell 20:e13376. https://doi.org/10.1111/acel.13376

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V et al (2018) The MR-Base platform supports systematic causal inference across the human phenome (in eng). Elife. https://doi.org/10.7554/eLife.34408

Article  PubMed  PubMed Central  Google Scholar 

Ni G, Moser G, Wray NR, Lee SH (2018) Estimation of genetic correlation via linkage disequilibrium score regression and genomic restricted maximum likelihood (in eng). Am J Hum Genet 102:1185–1194. https://doi.org/10.1016/j.ajhg.2018.03.021

Article  CAS  PubMed  PubMed Central  Google Scholar 

Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA, Abecasis GR (2015) A global reference for human genetic variation (in eng). Nature 526:68–74. https://doi.org/10.1038/nature15393

Article  CAS  PubMed  Google Scholar 

Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, Duncan L, Perry JR, Patterson N, Robinson EB, Daly MJ, Price AL, Neale BM (2015) An atlas of genetic correlations across human diseases and traits (in eng). Nat Genet 47:1236–1241. https://doi.org/10.1038/ng.3406

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ray D, Chatterjee N (2020) A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer (in eng). PLoS Genet 16:e1009218. https://doi.org/10.1371/journal.pgen.1009218

Article  CAS  PubMed  PubMed Central  Google Scholar 

Watanabe K, Taskesen E, van Bochoven A, Posthuma D (2017) Functional mapping and annotation of genetic associations with FUMA (in eng). Nat Commun 8:1826. https://doi.org/10.1038/s41467-017-01261-5

Article  CAS  PubMed  PubMed Central  Google Scholar 

de Leeuw CA, Mooij JM, Heskes T, Posthuma D (2015) MAGMA: generalized gene-set analysis of GWAS data (in eng). PLoS Comput Biol 11:e1004219. https://doi.org/10.1371/journal.pcbi.1004219

Article  CAS  PubMed  PubMed Central