{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T13:02:15Z","timestamp":1780405335523,"version":"3.54.1"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AR050066"],"award-info":[{"award-number":["R01AR050066"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AR061162"],"award-info":[{"award-number":["R01AR061162"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AR41398"],"award-info":[{"award-number":["R01AR41398"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-25195"],"award-info":[{"award-number":["N01-HC-25195"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N02-HL-6-4278"],"award-info":[{"award-number":["N02-HL-6-4278"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K01AR062655"],"award-info":[{"award-number":["K01AR062655"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AG061917"],"award-info":[{"award-number":["R01AG061917"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AR069055"],"award-info":[{"award-number":["R01AR069055"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01DK115679"],"award-info":[{"award-number":["R01DK115679"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01GM109068"],"award-info":[{"award-number":["R01GM109068"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01MH104680"],"award-info":[{"award-number":["R01MH104680"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01MH107354"],"award-info":[{"award-number":["R01MH107354"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["RC2AR058973"],"award-info":[{"award-number":["RC2AR058973"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG027810"],"award-info":[{"award-number":["U01AG027810"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042124"],"award-info":[{"award-number":["U01AG042124"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042139"],"award-info":[{"award-number":["U01AG042139"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042140"],"award-info":[{"award-number":["U01AG042140"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042143"],"award-info":[{"award-number":["U01AG042143"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042145"],"award-info":[{"award-number":["U01AG042145"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG042168"],"award-info":[{"award-number":["U01AG042168"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AR066160"],"award-info":[{"award-number":["U01AR066160"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U19AG055373"],"award-info":[{"award-number":["U19AG055373"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR000128"],"award-info":[{"award-number":["UL1TR000128"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Bone"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.bone.2021.116106","type":"journal-article","created":{"date-parts":[[2021,7,10]],"date-time":"2021-07-10T01:27:13Z","timestamp":1625880433000},"page":"116106","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["A transcriptome-wide association study to detect novel genes for volumetric bone mineral density"],"prefix":"10.1016","volume":"153","author":[{"given":"Anqi","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuan-Jui","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Greenbaum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuntong","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lan-Juan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong-Wen","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.bone.2021.116106_bb0005","first-page":"569","article-title":"Diagnosis, and therapy, March 7\u201329, 2000: highlights of the conference","volume":"94","author":"NIH Consensus Development Panel on Osteoporosis Prevention","year":"2001","journal-title":"South. Med. J."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0010","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1359\/jbmr.061113","article-title":"Incidence and economic burden of osteoporosis-related fractures in the United States, 2005\u20132025","volume":"22","author":"Burge","year":"2007","journal-title":"J. Bone Miner. Res."},{"issue":"2","key":"10.1016\/j.bone.2021.116106_bb0015","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1007\/s00198-013-2452-0","article-title":"The associations between QCT-based vertebral bone measurements and prevalent vertebral fractures depend on the spinal locations of both bone measurement and fracture","volume":"25","author":"Anderson","year":"2014","journal-title":"Osteoporos. Int."},{"issue":"7","key":"10.1016\/j.bone.2021.116106_bb0020","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1002\/jbmr.3433","article-title":"Volumetric bone mineral density and failure load of distal limbs predict incident clinical fracture independent HR-pQCT BMD and failure load predicts incident clinical fracture of FRAX and clinical risk factors among older men","volume":"33","author":"Langsetmo","year":"2018","journal-title":"J. Bone Miner. Res."},{"key":"10.1016\/j.bone.2021.116106_bb0025","doi-asserted-by":"crossref","first-page":"895474","DOI":"10.1155\/2013\/895474","article-title":"Comparison of QCT and DXA: osteoporosis detection rates in postmenopausal women","volume":"2013","author":"Li","year":"2013","journal-title":"Int. J. Endocrinol."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0030","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1210\/jcem-70-4-1202","article-title":"The impact of osteophytic and vascular calcifications on vertebral mineral density measurements in men","volume":"70","author":"Orwoll","year":"1990","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"2","key":"10.1016\/j.bone.2021.116106_bb0035","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1038\/s41574-019-0282-7","article-title":"A road map for understanding molecular and genetic determinants of osteoporosis","volume":"16","author":"Yang","year":"2020","journal-title":"Nat. Rev. Endocrinol."},{"issue":"12","key":"10.1016\/j.bone.2021.116106_bb0040","doi-asserted-by":"crossref","first-page":"2085","DOI":"10.1002\/jbmr.2913","article-title":"Novel genetic variants associated with increased vertebral volumetric BMD, reduced vertebral fracture risk, and increased expression of SLC1A3 and EPHB2","volume":"31","author":"Nielson","year":"2016","journal-title":"J. Bone Miner. Res."},{"issue":"7468","key":"10.1016\/j.bone.2021.116106_bb0045","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1038\/nature12531","article-title":"Transcriptome and genome sequencing uncovers functional variation in humans","volume":"501","author":"Lappalainen","year":"2013","journal-title":"Nature."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0050","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1038\/ng.3220","article-title":"Identification of common genetic variants controlling transcript isoform variation in human whole blood","volume":"47","author":"Zhang","year":"2015","journal-title":"Nat. Genet."},{"issue":"10","key":"10.1016\/j.bone.2021.116106_bb0055","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1038\/ng.2756","article-title":"Systematic identification of trans eQTLs as putative drivers of known disease associations","volume":"45","author":"Westra","year":"2013","journal-title":"Nat. Genet."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0060","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1038\/nrg3891","article-title":"The role of regulatory variation in complex traits and disease","volume":"16","author":"Albert","year":"2015","journal-title":"Nat. Rev. Genet."},{"issue":"6","key":"10.1016\/j.bone.2021.116106_bb0065","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1038\/ng.2653","article-title":"The genotype-tissue expression (GTEx) project","volume":"45","author":"Consortium","year":"2013","journal-title":"Nat. Genet."},{"issue":"7","key":"10.1016\/j.bone.2021.116106_bb0070","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1038\/s41588-018-0132-x","article-title":"A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer","volume":"50","author":"Wu","year":"2018","journal-title":"Nat. Genet."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0075","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1007889","article-title":"Integrating predicted transcriptome from multiple tissues improves association detection","volume":"15","author":"Barbeira","year":"2019","journal-title":"PLoS Genet."},{"issue":"7","key":"10.1016\/j.bone.2021.116106_bb0080","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1007\/s00198-019-04958-z","article-title":"Integrating transcriptome-wide association study and mRNA expression profiling identifies novel genes associated with bone mineral density","volume":"30","author":"Ma","year":"2019","journal-title":"Osteoporos. Int."},{"issue":"9","key":"10.1016\/j.bone.2021.116106_bb0085","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1038\/ng.3367","article-title":"A gene-based association method for mapping traits using reference transcriptome data","volume":"47","author":"Gamazon","year":"2015","journal-title":"Nat. Genet."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0090","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/s00223-019-00640-y","article-title":"Evaluating the correlations between osteoporosis and lifestyle-related factors using transcriptome-wide association study","volume":"106","author":"Du","year":"2020","journal-title":"Calcif. Tissue Int."},{"issue":"12","key":"10.1016\/j.bone.2021.116106_bb0095","doi-asserted-by":"crossref","DOI":"10.1210\/clinem\/dgaa572","article-title":"Gene expression and RNA splicing imputation identifies novel candidate genes associated with osteoporosis","volume":"105","author":"Liu","year":"2020","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0100","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1002\/jbmr.1482","article-title":"QCT measures of bone strength at the thoracic and lumbar spine: the Framingham study","volume":"27","author":"Samelson","year":"2012","journal-title":"J. Bone Miner. Res."},{"issue":"9","key":"10.1016\/j.bone.2021.116106_bb0105","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1016\/j.amjcard.2008.06.038","article-title":"Defining normal distributions of coronary artery calcium in women and men (from the Framingham Heart Study)","volume":"102","author":"Hoffmann","year":"2008","journal-title":"Am. J. Cardiol."},{"issue":"Suppl. 1","key":"10.1016\/j.bone.2021.116106_bb0110","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1186\/1471-2350-8-S1-S1","article-title":"The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports","volume":"8","author":"Cupples","year":"2007","journal-title":"BMC Med. Genet."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0115","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.cct.2005.05.005","article-title":"Overview of recruitment for the osteoporotic fractures in men study (MrOS)","volume":"26","author":"Blank","year":"2005","journal-title":"Contemp. Clin. Trials."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0120","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.cct.2005.05.006","article-title":"Design and baseline characteristics of the osteoporotic fractures in men (MrOS) study--a large observational study of the determinants of fracture in older men","volume":"26","author":"Orwoll","year":"2005","journal-title":"Contemp. Clin. Trials."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0125","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1086\/519795","article-title":"PLINK: a tool set for whole-genome association and population-based linkage analyses","volume":"81","author":"Purcell","year":"2007","journal-title":"Am. J. Hum. Genet."},{"issue":"8","key":"10.1016\/j.bone.2021.116106_bb0130","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1038\/ng1847","article-title":"Principal components analysis corrects for stratification in genome-wide association studies","volume":"38","author":"Price","year":"2006","journal-title":"Nat. Genet."},{"issue":"10","key":"10.1016\/j.bone.2021.116106_bb0135","doi-asserted-by":"crossref","first-page":"1284","DOI":"10.1038\/ng.3656","article-title":"Next-generation genotype imputation service and methods","volume":"48","author":"Das","year":"2016","journal-title":"Nat. Genet."},{"issue":"10","key":"10.1016\/j.bone.2021.116106_bb0140","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1038\/ng.3643","article-title":"A reference panel of 64,976 haplotypes for genotype imputation","volume":"48","author":"McCarthy","year":"2016","journal-title":"Nat. Genet."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0145","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1038\/s41588-018-0081-4","article-title":"Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types","volume":"50","author":"Finucane","year":"2018","journal-title":"Nat. Genet."},{"issue":"11","key":"10.1016\/j.bone.2021.116106_bb0160","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1038\/ng.3404","article-title":"Partitioning heritability by functional annotation using genome-wide association summary statistics","volume":"47","author":"Finucane","year":"2015","journal-title":"Nat. Genet."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0165","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s12064-012-0162-3","article-title":"Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples","volume":"131","author":"Wagner","year":"2012","journal-title":"Theory Biosci."},{"issue":"11","key":"10.1016\/j.bone.2021.116106_bb0175","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1038\/ng.3406","article-title":"An atlas of genetic correlations across human diseases and traits","volume":"47","author":"Bulik-Sullivan","year":"2015","journal-title":"Nat. Genet."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0180","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1038\/ng.3211","article-title":"LD score regression distinguishes confounding from polygenicity in genome-wide association studies","volume":"47","author":"Bulik-Sullivan","year":"2015","journal-title":"Nat. Genet."},{"key":"10.1016\/j.bone.2021.116106_bb0185","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Statist. Soc. B"},{"key":"10.1016\/j.bone.2021.116106_bb0190","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1038\/ng.3367","article-title":"A gene-based association method for mapping traits using reference transcriptome data","volume":"47","author":"Gamazon","year":"2015","journal-title":"Nat. Genet."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0195","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1038\/s41467-018-03621-1","article-title":"Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics","volume":"9","author":"Barbeira","year":"2018","journal-title":"Nat. Commun."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0200","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1089\/omi.2011.0118","article-title":"clusterProfiler: an R package for comparing biological themes among gene clusters","volume":"16","author":"Yu","year":"2012","journal-title":"OMICS."},{"issue":"D1","key":"10.1016\/j.bone.2021.116106_bb0205","doi-asserted-by":"crossref","first-page":"D607","DOI":"10.1093\/nar\/gky1131","article-title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets","volume":"47","author":"Szklarczyk","year":"2019","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0210","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/nprot.2008.211","article-title":"Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources","volume":"4","author":"da Huang","year":"2009","journal-title":"Nat. Protoc."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0215","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/nar\/gkn923","article-title":"Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists","volume":"37","author":"da Huang","year":"2009","journal-title":"Nucleic Acids Res."},{"issue":"9","key":"10.1016\/j.bone.2021.116106_bb0220","doi-asserted-by":"crossref","first-page":"14831","DOI":"10.1002\/jcb.28744","article-title":"Integrative analysis of transcriptome-wide association study data and messenger RNA expression profiles identified candidate genes and pathways for inflammatory bowel disease","volume":"120","author":"Cheng","year":"2019","journal-title":"J. Cell. Biochem."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0225","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1002\/acn3.716","article-title":"Polygenic risk and hazard scores for Alzheimer\u2019s disease prediction","volume":"6","author":"Leonenko","year":"2019","journal-title":"Ann. Clin. Transl. Neurol."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0230","doi-asserted-by":"crossref","first-page":"1920","DOI":"10.1002\/hep.31535","article-title":"Genome-wide association study and meta-analysis on alcohol-related liver cirrhosis identifies novel genetic risk factors","volume":"73","author":"Schwantes-An","year":"2021","journal-title":"Hepatology"},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0235","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1038\/ng.2249","article-title":"Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture","volume":"44","author":"Estrada","year":"2012","journal-title":"Nat. Genet."},{"issue":"10","key":"10.1016\/j.bone.2021.116106_bb0240","doi-asserted-by":"crossref","first-page":"3093","DOI":"10.1007\/s00296-011-2076-7","article-title":"Pattern of bone mineral density in idiopathic male osteoporosis","volume":"32","author":"Laroche","year":"2012","journal-title":"Rheumatol. Int."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0245","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1007\/s00198-017-4353-0","article-title":"Trabecular bone quality is lower in adults with type 1 diabetes and is negatively associated with insulin resistance","volume":"29","author":"Shah","year":"2018","journal-title":"Osteoporos. Int."},{"key":"10.1016\/j.bone.2021.116106_bb0250","unstructured":"Osteoporosis. https:\/\/en.wikipedia.org\/wiki\/Osteoporosis. Accessed."},{"issue":"6","key":"10.1016\/j.bone.2021.116106_bb0255","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004423","article-title":"Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment","volume":"10","author":"Kemp","year":"2014","journal-title":"PLoS Genet."},{"issue":"2","key":"10.1016\/j.bone.2021.116106_bb0260","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1003247","article-title":"Genetic determinants of trabecular and cortical volumetric bone mineral densities and bone microstructure","volume":"9","author":"Paternoster","year":"2013","journal-title":"PLoS Genet."},{"key":"10.1016\/j.bone.2021.116106_bb0265","unstructured":"Adrenal Gland. https:\/\/training.seer.cancer.gov\/anatomy\/endocrine\/glands\/adrenal.html. (Accessed)."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0270","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.abb.2010.06.007","article-title":"Adrenal gland and bone","volume":"503","author":"Hardy","year":"2010","journal-title":"Arch. Biochem. Biophys."},{"issue":"10","key":"10.1016\/j.bone.2021.116106_bb0275","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1210\/me.2009-0069","article-title":"Minireview: live and let die: molecular effects of glucocorticoids on bone cells","volume":"23","author":"Hofbauer","year":"2009","journal-title":"Mol. Endocrinol."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0280","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1677\/JOE-08-0568","article-title":"Bone loss in inflammatory disorders","volume":"201","author":"Hardy","year":"2009","journal-title":"J. Endocrinol."},{"issue":"6","key":"10.1016\/j.bone.2021.116106_bb0285","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1161\/CIRCHEARTFAILURE.111.966093","article-title":"Elevated levels of the mediator of catabolic bone remodeling RANKL in the bone marrow environment link chronic heart failure with osteoporosis","volume":"5","author":"Leistner","year":"2012","journal-title":"Circ. Heart Fail."},{"issue":"7032","key":"10.1016\/j.bone.2021.116106_bb0290","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1038\/nature03398","article-title":"Leptin regulation of bone resorption by the sympathetic nervous system and CART","volume":"434","author":"Elefteriou","year":"2005","journal-title":"Nature."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0295","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1002\/jcb.25040","article-title":"Interactions between muscle tissues and bone metabolism","volume":"116","author":"Naoyuki Kawao","year":"2014","journal-title":"J. Cell. Biochem."},{"issue":"9","key":"10.1016\/j.bone.2021.116106_bb0300","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1359\/jbmr.060612","article-title":"Low-level, high-frequency mechanical signals enhance musculoskeletal development of young women with low BMD","volume":"21","author":"Gilsanz","year":"2006","journal-title":"J. Bone Miner. Res."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0305","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.bbrc.2014.05.145","article-title":"Active vitamin D possesses beneficial effects on the interaction between muscle and bone","volume":"450","author":"Tanaka","year":"2014","journal-title":"Biochem. Biophys. Res. Commun."},{"issue":"11","key":"10.1016\/j.bone.2021.116106_bb0310","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1002\/jbmr.2282","article-title":"IGFBP-2 directly stimulates osteoblast differentiation","volume":"29","author":"Xi","year":"2014","journal-title":"J. Bone Miner. Res."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0315","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1007\/s00198-010-1461-5","article-title":"Spine-hip discordance and fracture risk assessment: a physician-friendly FRAX enhancement","volume":"22","author":"Leslie","year":"2011","journal-title":"Osteoporos. Int."},{"issue":"1","key":"10.1016\/j.bone.2021.116106_bb0320","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.bone.2012.11.017","article-title":"Differentially load-regulated gene expression in mouse trabecular osteocytes","volume":"53","author":"Elad Wasserman","year":"2013","journal-title":"Bone"},{"issue":"12","key":"10.1016\/j.bone.2021.116106_bb0325","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1302\/2046-3758.512.BJR-2016-0073.R1","article-title":"Identification of candidate genes in osteoporosis by integrated microarray analysis","volume":"5","author":"Li","year":"2016","journal-title":"Bone Joint Res."},{"issue":"3","key":"10.1016\/j.bone.2021.116106_bb0330","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1002\/jbmr.5650040302","article-title":"Skeletal disease in primary hyperparathyroidism","volume":"4","author":"Silverberg","year":"1989","journal-title":"J. Bone Miner. Res."},{"issue":"5","key":"10.1016\/j.bone.2021.116106_bb0335","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1002\/jbmr.3674","article-title":"Parathyroid-targeted overexpression of regulator of G-protein signaling 5 (RGS5) causes hyperparathyroidism in transgenic mice","volume":"34","author":"Balenga","year":"2019","journal-title":"J. Bone Miner. Res."},{"issue":"6","key":"10.1016\/j.bone.2021.116106_bb0340","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1002\/jbmr.3412","article-title":"Expression quantitative trait locus study of bone mineral density GWAS variants in human osteoclasts","volume":"33","author":"Mullin","year":"2018","journal-title":"J. Bone Miner. Res."},{"issue":"11","key":"10.1016\/j.bone.2021.116106_bb0345","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1101\/gr.095224.109","article-title":"Population genomics in a disease targeted primary cell model","volume":"19","author":"Grundberg","year":"2009","journal-title":"Genome Res."},{"issue":"4","key":"10.1016\/j.bone.2021.116106_bb0350","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1038\/s41588-019-0385-z","article-title":"Opportunities and challenges for transcriptome-wide association studies","volume":"51","author":"Wainberg","year":"2019","journal-title":"Nat. Genet."},{"issue":"2","key":"10.1016\/j.bone.2021.116106_bb0355","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s00439-019-02098-2","article-title":"A powerful fine-mapping method for transcriptome-wide association studies","volume":"139","author":"Wu","year":"2020","journal-title":"Hum. Genet."}],"container-title":["Bone"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S8756328221002714?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S8756328221002714?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T03:43:28Z","timestamp":1762659808000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S8756328221002714"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":68,"alternative-id":["S8756328221002714"],"URL":"https:\/\/doi.org\/10.1016\/j.bone.2021.116106","relation":{},"ISSN":["8756-3282"],"issn-type":[{"value":"8756-3282","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A transcriptome-wide association study to detect novel genes for volumetric bone mineral density","name":"articletitle","label":"Article Title"},{"value":"Bone","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bone.2021.116106","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"116106"}}