{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T14:40:46Z","timestamp":1779374446262,"version":"3.53.1"},"reference-count":55,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T00:00:00Z","timestamp":1767398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2017R1C1B2012084"],"award-info":[{"award-number":["NRF-2017R1C1B2012084"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Biobank of Korea, the Centers for Disease Control and Preven-tion, Republic of Korea","award":["KBN-2018-058"],"award-info":[{"award-number":["KBN-2018-058"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background: Osteoporosis is highly prevalent in postmenopausal women, yet genome-wide association studies often miss disease-relevant variants because of incomplete single nucleotide polymorphism (SNP) coverage and platform-specific limitations. We aimed to identify genetic contributors to osteoporosis risk by integrating two exome-based genotyping platforms with multilayer analytic approaches. Methods: We analyzed extreme osteoporosis phenotypes in Korean postmenopausal women from the Korean Genome and Epidemiology Study (KoGES) Ansan\u2013Anseong cohorts using the Illumina Infinium HumanExome BeadChip and the Affymetrix Axiom Exome Array. After standard quality control, single-SNP logistic regression, cross-platform overlap analysis, and three machine-learning models were applied. Predicted functional impact was evaluated using multiple in silico algorithms and conservation scores. Finally, datasets from both platforms were merged, and cross-platform linkage disequilibrium (LD) blocks were defined to identify loci containing SNPs with p &lt; 1 \u00d7 10\u22124. Results: No overlapped SNP reached genome-wide significance, but rs2076212 in PNPLA3 achieved suggestive significance (p &lt; 1 \u00d7 10\u22125) only on the Illumina array. Cross-platform analysis identified 111 overlapping SNPs in 70 genes. Integrated machine-learning, in silico, and conservation evidence prioritized ARMS2, CCDC92, NQO1, ZNF510, PTPRB, and DYNC2H1 as candidate genes. LD-block analysis revealed 10 blocks with at least one SNP at p &lt; 1 \u00d7 10\u22124, including four chromosome 12 loci (NAV2, BICD1, CCDC92, ZNF664) that became apparent only when LD patterns were evaluated jointly across platforms. Conclusions: Combining dual exome arrays with LD-block analysis, machine learning, and functional prediction improved sensitivity for detecting low bone mineral density-related loci and highlighted CCDC92, DYNC2H1, NQO1, and related genes as biologically plausible candidates for future validation.<\/jats:p>","DOI":"10.3390\/diagnostics16010153","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T08:40:53Z","timestamp":1767602453000},"page":"153","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrated Cross-Platform Analysis Reveals Candidate Variants and Linkage Disequilibrium-Defined Loci Associated with Osteoporosis in Korean Postmenopausal Women"],"prefix":"10.3390","volume":"16","author":[{"given":"Su Kang","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Biomedical Laboratory Science, Catholic Kwandong University, Gangneung 25601, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7460-8487","authenticated-orcid":false,"given":"Seoung-Jin","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Prosthodontics, College of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9504-6471","authenticated-orcid":false,"given":"Seung Il","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Dentistry, School of Medicine, Ajou University, Suwon 16499, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5561-6297","authenticated-orcid":false,"given":"Jeong Keun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Dentistry, School of Medicine, Ajou University, Suwon 16499, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gyutae","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Radiology, College of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byung-Joon","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery, College of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2870-2747","authenticated-orcid":false,"given":"Suyun","family":"Seon","sequence":"additional","affiliation":[{"name":"Department of Dentistry, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung Jun","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Dentistry, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1992-5188","authenticated-orcid":false,"given":"Ju Yeon","family":"Ban","sequence":"additional","affiliation":[{"name":"Department of Dental Pharmacology, College of Dentistry, Dankook University, Cheonan 31116, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0358-2304","authenticated-orcid":false,"given":"Sang Wook","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Pathology, College of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1007\/BF01622200","article-title":"Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: Synopsis of a WHO report","volume":"4","author":"Kanis","year":"1994","journal-title":"WHO Study Group. Osteoporos. Int."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/S0140-6736(02)08657-9","article-title":"Epidemiology and outcomes of osteoporotic fractures","volume":"359","author":"Cummings","year":"2002","journal-title":"Lancet"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1276","DOI":"10.1016\/S0140-6736(10)62349-5","article-title":"Osteoporosis: Now and the future","volume":"377","author":"Rachner","year":"2011","journal-title":"Lancet"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S8756-3282(97)00252-4","article-title":"Genetic and environmental correlations between bone formation and bone mineral density: A twin study","volume":"22","author":"Harris","year":"1998","journal-title":"Bone"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"k3225","DOI":"10.1136\/bmj.k3225","article-title":"Assessment of the genetic and clinical determinants of fracture risk: Genome wide association and mendelian randomisation study","volume":"362","author":"Trajanoska","year":"2018","journal-title":"BMJ"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.bone.2016.07.008","article-title":"Genome-wide association study in East Asians suggests UHMK1 as a novel bone mineral density susceptibility gene","volume":"91","author":"Choi","year":"2016","journal-title":"Bone"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"62","DOI":"10.5808\/GI.2016.14.2.62","article-title":"Genome-Wide Association Study of Bone Mineral Density in Korean Men","volume":"14","author":"Bae","year":"2016","journal-title":"Genom. Inf."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1038\/456018a","article-title":"Personal genomes: The case of the missing heritability","volume":"456","author":"Maher","year":"2008","journal-title":"Nature"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ajhg.2014.06.009","article-title":"Rare-variant association analysis: Study designs and statistical tests","volume":"95","author":"Lee","year":"2014","journal-title":"Am. J. Hum. Genet."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Page, C.M., Baranzini, S.E., Mevik, B.H., Bos, S.D., Harbo, H.F., and Andreassen, B.K. (2015). Assessing the Power of Exome Chips. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0139642"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Mizrahi-Man, O., Woehrmann, M.H., Webster, T.A., Gollub, J., Bivol, A., Keeble, S.M., Aull, K.H., Mittal, A., Roter, A.H., and Wong, B.A. (2022). Novel genotyping algorithms for rare variants significantly improve the accuracy of Applied Biosystems Axiom array genotyping calls: Retrospective evaluation of UK Biobank array data. PLoS ONE, 17.","DOI":"10.1371\/journal.pone.0277680"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Sun, T.H., Shao, Y.J., Mao, C.L., Hung, M.N., Lo, Y.Y., Ko, T.M., and Hsiao, T.H. (2021). A Novel Quality-Control Procedure to Improve the Accuracy of Rare Variant Calling in SNP Arrays. Front. Genet., 12.","DOI":"10.3389\/fgene.2021.736390"},{"key":"ref_13","first-page":"n214","article-title":"Use of SNP chips to detect rare pathogenic variants: Retrospective, population based diagnostic evaluation","volume":"372","author":"Weedon","year":"2021","journal-title":"BMJ"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.ajhg.2011.11.029","article-title":"Five years of GWAS discovery","volume":"90","author":"Visscher","year":"2012","journal-title":"Am. J. Hum. Genet."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1126\/science.1069424","article-title":"The structure of haplotype blocks in the human genome","volume":"296","author":"Gabriel","year":"2002","journal-title":"Science"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1359\/jbmr.060417","article-title":"Relationship between bone quantitative ultrasound and fractures: A meta-analysis","volume":"21","author":"Marin","year":"2006","journal-title":"J. Bone Min. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"436","DOI":"10.4162\/nrp.2018.12.5.436","article-title":"High dairy products intake reduces osteoporosis risk in Korean postmenopausal women: A 4 year follow-up study","volume":"12","author":"Park","year":"2018","journal-title":"Nutr. Res. Pr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1001\/jama.2025.6003","article-title":"Osteoporosis: A Review","volume":"334","author":"Morin","year":"2025","journal-title":"JAMA"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1564","DOI":"10.1038\/nprot.2010.116","article-title":"Data quality control in genetic case-control association studies","volume":"5","author":"Anderson","year":"2010","journal-title":"Nat. Protoc."},{"key":"ref_20","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."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1186\/1756-0381-6-18","article-title":"Visualizing genomic information across chromosomes with PhenoGram","volume":"6","author":"Wolfe","year":"2013","journal-title":"BioData Min."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1186\/s13073-022-01120-z","article-title":"MetaRNN: Differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning","volume":"14","author":"Li","year":"2022","journal-title":"Genome Med."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"W452","DOI":"10.1093\/nar\/gks539","article-title":"SIFT web server: Predicting effects of amino acid substitutions on proteins","volume":"40","author":"Sim","year":"2012","journal-title":"Nucleic Acids Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1038\/nmeth0410-248","article-title":"A method and server for predicting damaging missense mutations","volume":"7","author":"Adzhubei","year":"2010","journal-title":"Nat. Methods"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1093\/bioinformatics\/btv195","article-title":"PROVEAN web server: A tool to predict the functional effect of amino acid substitutions and indels","volume":"31","author":"Choi","year":"2015","journal-title":"Bioinformatics"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1016\/j.ajhg.2016.08.016","article-title":"REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants","volume":"99","author":"Ioannidis","year":"2016","journal-title":"Am. J. Hum. Genet."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"D886","DOI":"10.1093\/nar\/gky1016","article-title":"CADD: Predicting the deleteriousness of variants throughout the human genome","volume":"47","author":"Rentzsch","year":"2019","journal-title":"Nucleic Acids Res."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Davydov, E.V., Goode, D.L., Sirota, M., Cooper, G.M., Sidow, A., and Batzoglou, S. (2010). Identifying a high fraction of the human genome to be under selective constraint using GERP++. PLoS Comput. Biol., 6.","DOI":"10.1371\/journal.pcbi.1001025"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1101\/gr.097857.109","article-title":"Detection of nonneutral substitution rates on mammalian phylogenies","volume":"20","author":"Pollard","year":"2010","journal-title":"Genome Res."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Garcia, F.A.O., de Andrade, E.S., and Palmero, E.I. (2022). Insights on variant analysis in silico tools for pathogenicity prediction. Front. Genet., 13.","DOI":"10.3389\/fgene.2022.1010327"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"D638","DOI":"10.1093\/nar\/gkac1000","article-title":"The STRING database in 2023: Protein-protein association networks and functional enrichment analyses for any sequenced genome of interest","volume":"51","author":"Szklarczyk","year":"2023","journal-title":"Nucleic Acids Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"W216","DOI":"10.1093\/nar\/gkac194","article-title":"DAVID: A web server for functional enrichment analysis and functional annotation of gene lists (2021 update)","volume":"50","author":"Sherman","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1007\/s001980050281","article-title":"An update on the diagnosis and assessment of osteoporosis with densitometry","volume":"11","author":"Kanis","year":"2000","journal-title":"Osteoporos. Int."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1359\/jbmr.1999.14.9.1622","article-title":"Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early Postmenopausal Intervention Cohort (EPIC) study group","volume":"14","author":"Ravn","year":"1999","journal-title":"J. Bone Min. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0140-6736(03)15268-3","article-title":"Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies","volume":"363","author":"Consultation","year":"2004","journal-title":"Lancet"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1056\/NEJMra053077","article-title":"Bone quality--the material and structural basis of bone strength and fragility","volume":"354","author":"Seeman","year":"2006","journal-title":"N. Engl. J. Med."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1002\/gepi.20303","article-title":"Estimation of the multiple testing burden for genomewide association studies of nearly all common variants","volume":"32","author":"Yelensky","year":"2008","journal-title":"Genet. Epidemiol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e70017","DOI":"10.1002\/kjm2.70017","article-title":"GCKR Polymorphisms Increase the Risks of Low Bone Mineral Density in Young and Non-Obese Patients With MASLD and Hyperuricemia","volume":"41","author":"Li","year":"2025","journal-title":"Kaohsiung J. Med. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s00774-017-0892-x","article-title":"Identification of pleiotropic genetic variants affecting osteoporosis risk in a Korean elderly cohort","volume":"37","author":"Hong","year":"2019","journal-title":"J. Bone Min. Metab."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.ajhg.2016.06.019","article-title":"Contribution of a Non-classical HLA Gene, HLA-DOA, to the Risk of Rheumatoid Arthritis","volume":"99","author":"Okada","year":"2016","journal-title":"Am. J. Hum. Genet."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1038\/nrn3120","article-title":"Linking neurodevelopmental and synaptic theories of mental illness through DISC1","volume":"12","author":"Brandon","year":"2011","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.neuron.2007.07.006","article-title":"Fibroblast growth factor homologous factors control neuronal excitability through modulation of voltage-gated sodium channels","volume":"55","author":"Goldfarb","year":"2007","journal-title":"Neuron"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"10464","DOI":"10.1038\/ncomms10464","article-title":"Joint mouse-human phenome-wide association to test gene function and disease risk","volume":"7","author":"Wang","year":"2016","journal-title":"Nat. Commun."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.gde.2015.06.005","article-title":"Genomic risk prediction of complex human disease and its clinical application","volume":"33","author":"Abraham","year":"2015","journal-title":"Curr. Opin. Genet. Dev."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1038\/nrg3920","article-title":"Machine learning applications in genetics and genomics","volume":"16","author":"Libbrecht","year":"2015","journal-title":"Nat. Rev. Genet."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1007\/s40520-015-0509-y","article-title":"Identification of crucial genes related to postmenopausal osteoporosis using gene expression profiling","volume":"28","author":"Ma","year":"2016","journal-title":"Aging Clin. Exp. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1038\/nrm2594","article-title":"Mechanotransduction at a distance: Mechanically coupling the extracellular matrix with the nucleus","volume":"10","author":"Wang","year":"2009","journal-title":"Nat. Rev. Mol. Cell Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1138\/20060233","article-title":"Mechanosensation and Transduction in Osteocytes","volume":"3","author":"Bonewald","year":"2006","journal-title":"Bonekey Osteovision"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"105769","DOI":"10.1016\/j.isci.2022.105769","article-title":"Genetic ablation of diabetes-associated gene Ccdc92 reduces obesity and insulin resistance in mice","volume":"26","author":"Ren","year":"2023","journal-title":"iScience"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1042\/BST20170568","article-title":"Emerging mechanisms of dynein transport in the cytoplasm versus the cilium","volume":"46","author":"Roberts","year":"2018","journal-title":"Biochem. Soc. Trans."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"515","DOI":"10.2741\/4323","article-title":"Cilia\/Ift protein and motor -related bone diseases and mouse models","volume":"20","author":"Yuan","year":"2015","journal-title":"Front. Biosci. (Landmark Ed.)"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.mrgentox.2008.09.009","article-title":"Polymorphisms in the NQO1, GSTT and GSTM genes are associated with coronary heart disease and biomarkers of oxidative stress","volume":"674","author":"Martin","year":"2009","journal-title":"Mutat. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1672","DOI":"10.1038\/ncomms2683","article-title":"VE-PTP regulates VEGFR2 activity in stalk cells to establish endothelial cell polarity and lumen formation","volume":"4","author":"Hayashi","year":"2013","journal-title":"Nat. Commun."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1038\/nature15393","article-title":"A global reference for human genetic variation","volume":"526","author":"Auton","year":"2015","journal-title":"Nature"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ajhg.2017.06.005","article-title":"10 Years of GWAS Discovery: Biology, Function, and Translation","volume":"101","author":"Visscher","year":"2017","journal-title":"Am. J. Hum. Genet."}],"container-title":["Diagnostics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-4418\/16\/1\/153\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T08:49:11Z","timestamp":1767602951000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-4418\/16\/1\/153"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,3]]},"references-count":55,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,1]]}},"alternative-id":["diagnostics16010153"],"URL":"https:\/\/doi.org\/10.3390\/diagnostics16010153","relation":{},"ISSN":["2075-4418"],"issn-type":[{"value":"2075-4418","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,3]]}}}