{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T21:20:12Z","timestamp":1793308812821,"version":"4.5.0"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:00:00Z","timestamp":1762214400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:00:00Z","timestamp":1762214400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-22475-4","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T18:59:48Z","timestamp":1762282788000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Network construction using sparse Gaussian graphical model based on GWAS summary statistics"],"prefix":"10.1038","volume":"15","author":[{"given":"Megh","family":"Subedi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuewei","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byung-Jun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuying","family":"Sha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,4]]},"reference":[{"issue":"1","key":"22475_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/jhg.2011.125","volume":"57","author":"R Hai","year":"2012","unstructured":"Hai, R. et al. Genome-wide association study of copy number variation identified gremlin1 as a candidate gene for lean body mass. J. Hum. Genet. 57(1), 33\u201337 (2012).","journal-title":"J. Hum. Genet."},{"key":"22475_CR2","doi-asserted-by":"crossref","unstructured":"Shi, Y. et al. Characterization of genome-wide STR variation in 6487 human genomes. Nat. Commun. 14(1), 2092 (2023).","DOI":"10.1038\/s41467-023-37690-8"},{"issue":"5720","key":"22475_CR3","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1126\/science.1110359","volume":"308","author":"JL Haines","year":"2005","unstructured":"Haines, J. L. et al. Complement factor H variant increases the risk of age-related macular degeneration. Science 308(5720), 419\u2013421 (2005).","journal-title":"Science"},{"issue":"7","key":"22475_CR4","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1038\/nrg3461","volume":"14","author":"N Solovieff","year":"2013","unstructured":"Solovieff, N. et al. Pleiotropy in complex traits: challenges and strategies. Nat. Rev. Genet. 14(7), 483\u2013495 (2013).","journal-title":"Nat. Rev. Genet."},{"issue":"5","key":"22475_CR5","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/j.ajhg.2011.10.004","volume":"89","author":"S Sivakumaran","year":"2011","unstructured":"Sivakumaran, S. et al. Abundant pleiotropy in human complex diseases and traits. Am. J. Hum. Genet. 89(5), 607\u2013618 (2011).","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"22475_CR6","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1186\/s13073-016-0332-x","volume":"8","author":"J Gratten","year":"2016","unstructured":"Gratten, J. & Visscher, P. M. Genetic pleiotropy in complex traits and diseases: implications for genomic medicine. Genome Med. 8(1), 78 (2016).","journal-title":"Genome Med."},{"key":"22475_CR7","doi-asserted-by":"crossref","unstructured":"Darabos, C. et al. A bipartite network approach to inferring interactions between environmental exposures and human diseases. In Pac. Symp. Biocomput. 171\u2013182 (2015).","DOI":"10.1142\/9789814644730_0018"},{"key":"22475_CR8","unstructured":"Moore, J. H. W. S. M. Epistatis (Springer, 2016)."},{"issue":"4","key":"22475_CR9","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.2307\/2531158","volume":"40","author":"PC O\u2019Brien","year":"1984","unstructured":"O\u2019Brien, P. C. Procedures for comparing samples with multiple endpoints. Biometrics 40(4), 1079\u20131087 (1984).","journal-title":"Biometrics"},{"key":"22475_CR10","doi-asserted-by":"publisher","first-page":"34323","DOI":"10.1038\/srep34323","volume":"6","author":"X Liang","year":"2016","unstructured":"Liang, X. et al. An adaptive fisher\u2019s combination method for joint analysis of multiple phenotypes in association studies. Sci. Rep. 6, 34323 (2016).","journal-title":"Sci. Rep."},{"issue":"8","key":"22475_CR11","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1002\/gepi.21931","volume":"39","author":"J Kim","year":"2015","unstructured":"Kim, J., Bai, Y. & Pan, W. An adaptive association test for multiple phenotypes with GWAS summary statistics. Genet. Epidemiol. 39(8), 651\u2013663 (2015).","journal-title":"Genet. Epidemiol."},{"key":"22475_CR12","doi-asserted-by":"crossref","unstructured":"van der Sluis, S., Posthuma, D. & Dolan, C. V. TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies. PLoS Genet. 9(1), e1003235 (2013).","DOI":"10.1371\/journal.pgen.1003235"},{"issue":"3","key":"22475_CR13","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1037\/0033-2909.115.3.465","volume":"115","author":"DA Cole","year":"1994","unstructured":"Cole, D. A. et al. How the power of MANOVA can both increase and decrease as a function of the intercorrelations among the dependent variables. Psychol. Bull. 115(3), 465\u2013474 (1994).","journal-title":"Psychol. Bull."},{"key":"22475_CR14","doi-asserted-by":"crossref","unstructured":"O\u2019Reilly, P. F. et al. MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS. PLoS ONE. 7(5), e34861 (2012).","DOI":"10.1371\/journal.pone.0034861"},{"issue":"4","key":"22475_CR15","doi-asserted-by":"publisher","first-page":"963","DOI":"10.2307\/2529876","volume":"38","author":"NM Laird","year":"1982","unstructured":"Laird, N. M. & Ware, J. H. Random-effects models for longitudinal data. Biometrics. 38(4), 963\u2013974 (1982).","journal-title":"Biometrics"},{"issue":"1","key":"22475_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1093\/biomet\/73.1.13","volume":"73","author":"KY Liang","year":"1986","unstructured":"Liang, K. Y. & Zeger, S. L. Longitudinal data analysis using generalized linear models. Biometrika. 73(1), 13\u201322 (1986).","journal-title":"Biometrika"},{"issue":"8","key":"22475_CR17","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1093\/bioinformatics\/bty810","volume":"35","author":"Q Sha","year":"2019","unstructured":"Sha, Q. et al. A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. Bioinformatics. 35(8), 1373\u20131379 (2019).","journal-title":"Bioinformatics"},{"issue":"6","key":"22475_CR18","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1093\/bioinformatics\/bts051","volume":"28","author":"CS Tang","year":"2012","unstructured":"Tang, C. S. & Ferreira, M. A. A gene-based test of association using canonical correlation analysis. Bioinformatics. 28(6), 845\u2013850 (2012).","journal-title":"Bioinformatics"},{"issue":"5","key":"22475_CR19","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1016\/j.ajhg.2014.03.016","volume":"94","author":"H Aschard","year":"2014","unstructured":"Aschard, H. et al. Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies. Am. J. Hum. Genet. 94(5), 662\u2013676 (2014).","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"22475_CR20","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1002\/gepi.20257","volume":"32","author":"L Klei","year":"2008","unstructured":"Klei, L. et al. Pleiotropy and principal components of heritability combine to increase power for association analysis. Genet. Epidemiol. 32(1), 9\u201319 (2008).","journal-title":"Genet. Epidemiol."},{"key":"22475_CR21","doi-asserted-by":"publisher","first-page":"17","DOI":"10.2202\/1544-6115.1067","volume":"3","author":"C Lange","year":"2004","unstructured":"Lange, C. et al. A family-based association test for repeatedly measured quantitative traits adjusting for unknown environmental and\/or polygenic effects. Stat. Appl. Genet. Mol. Biol. 3, 17 (2004).","journal-title":"Stat. Appl. Genet. Mol. Biol."},{"key":"22475_CR22","doi-asserted-by":"crossref","unstructured":"Wang, Z., Sha, Q. & Zhang, S. Joint analysis of multiple traits using \u201coptimal\u201d maximum heritability test. PLoS ONE. 11(3), e0150975 (2016).","DOI":"10.1371\/journal.pone.0150975"},{"issue":"7","key":"22475_CR23","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1038\/nrg2795","volume":"11","author":"RD Hawkins","year":"2010","unstructured":"Hawkins, R. D., Hon, G. C. & Ren, B. Next-generation genomics: an integrative approach. Nat. Rev. Genet. 11(7), 476\u2013486 (2010).","journal-title":"Nat. Rev. Genet."},{"issue":"4","key":"22475_CR24","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1038\/nrg3891","volume":"16","author":"FW Albert","year":"2015","unstructured":"Albert, F. W. & Kruglyak, L. The role of regulatory variation in complex traits and disease. Nat. Rev. Genet. 16(4), 197\u2013212 (2015).","journal-title":"Nat. Rev. Genet."},{"issue":"6235","key":"22475_CR25","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1126\/science.1262110","volume":"348","author":"G Consortium","year":"2015","unstructured":"Consortium, G. et al. The genotype-tissue expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science. 348(6235), 648\u2013660 (2015).","journal-title":"Science"},{"issue":"1","key":"22475_CR26","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/nrg2918","volume":"12","author":"AL Barabasi","year":"2011","unstructured":"Barabasi, A. L., Gulbahce, N. & Loscalzo, J. Network medicine: a network-based approach to human disease. Nat. Rev. Genet. 12(1), 56\u201368 (2011).","journal-title":"Nat. Rev. Genet."},{"issue":"9","key":"22475_CR27","doi-asserted-by":"publisher","first-page":"e1005033","DOI":"10.1371\/journal.pcbi.1005033","volume":"12","author":"J Platig","year":"2016","unstructured":"Platig, J. et al. Bipartite community structure of eQTLs. PLoS Comput. Biol. 12(9), e1005033 (2016).","journal-title":"PLoS Comput. Biol."},{"key":"22475_CR28","doi-asserted-by":"crossref","unstructured":"Fagny, M. et al. Exploring regulation in tissues with eQTL networks. Proc. Natl. Acad. Sci. 114(37), E7841\u2013E7850 (2017).","DOI":"10.1073\/pnas.1707375114"},{"issue":"Suppl 6761","key":"22475_CR29","doi-asserted-by":"publisher","first-page":"C47","DOI":"10.1038\/35011540","volume":"402","author":"LH Hartwell","year":"1999","unstructured":"Hartwell, L. H. et al. From molecular to modular cell biology. Nature 402(Suppl 6761), C47\u2013C52 (1999).","journal-title":"Nature"},{"key":"22475_CR30","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1186\/1471-2105-15-220","volume":"15","author":"P Sah","year":"2014","unstructured":"Sah, P. et al. Exploring community structure in biological networks with random graphs. BMC Bioinform. 15, 220 (2014).","journal-title":"BMC Bioinform."},{"issue":"12","key":"22475_CR31","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan, M. & Newman, M. E. Community structure in social and biological networks. Proc. Natl. Acad. Sci. U S A. 99(12), 7821\u20137826 (2002).","journal-title":"Proc. Natl. Acad. Sci. U S A"},{"key":"22475_CR32","doi-asserted-by":"publisher","first-page":"164","DOI":"10.3389\/fgene.2019.00164","volume":"10","author":"B Tripathi","year":"2019","unstructured":"Tripathi, B. et al. Adapting community detection algorithms for disease module identification in heterogeneous biological networks. Front. Genet. 10, 164 (2019).","journal-title":"Front. Genet."},{"key":"22475_CR33","doi-asserted-by":"crossref","unstructured":"Huang, Y. et al. Disease characterization using a partial correlation-based sample-specific network. Brief. Bioinform. 22(3) (2021).","DOI":"10.1093\/bib\/bbaa062"},{"key":"22475_CR34","doi-asserted-by":"publisher","first-page":"665252","DOI":"10.3389\/fgene.2021.665252","volume":"12","author":"T Li","year":"2021","unstructured":"Li, T., Ning, Z. & Shen, X. Improved estimation of phenotypic correlations using summary association statistics. Front. Genet. 12, 665252 (2021).","journal-title":"Front. Genet."},{"issue":"1","key":"22475_CR35","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.ajhg.2014.11.011","volume":"96","author":"X Zhu","year":"2015","unstructured":"Zhu, X. et al. Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. Am. J. Hum. Genet. 96(1), 21\u201336 (2015).","journal-title":"Am. J. Hum. Genet."},{"key":"22475_CR36","doi-asserted-by":"crossref","unstructured":"Williams, D. R. GGMncv: Nonconvex Penalized Gaussian Graphical Models in R. (2021).","DOI":"10.31234\/osf.io\/6jz5m"},{"issue":"1","key":"22475_CR37","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani, R. Regression shrinkage and selection via the Lasso. J. Royal Stat. Soc. Ser. B: Stat. Methodol. 58(1), 267\u2013288 (1996).","journal-title":"J. Royal Stat. Soc. Ser. B: Stat. Methodol."},{"issue":"3","key":"22475_CR38","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1093\/biomet\/asn034","volume":"95","author":"J Chen","year":"2008","unstructured":"Chen, J. & Chen, Z. Extended bayesian information criteria for model selection with large model spaces. Biometrika 95(3), 759\u2013771 (2008).","journal-title":"Biometrika"},{"issue":"2","key":"22475_CR39","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1002\/gepi.22513","volume":"47","author":"H Xie","year":"2023","unstructured":"Xie, H. et al. Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies. Genet. Epidemiol. 47(2), 185\u2013197 (2023).","journal-title":"Genet. Epidemiol."},{"issue":"3\u20135","key":"22475_CR40","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato, S. Community detection in graphs. Phys. Rep. 486(3\u20135), 75\u2013174 (2010).","journal-title":"Phys. Rep."},{"key":"22475_CR41","doi-asserted-by":"crossref","unstructured":"Cao, X., Zhang, S. & Sha, Q. A novel method for multiple phenotype association studies based on genotype and phenotype network. PLoS Genet. 20(5), e1011245 (2024).","DOI":"10.1371\/journal.pgen.1011245"},{"issue":"3","key":"22475_CR42","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.ajhg.2019.01.002","volume":"104","author":"Y Liu","year":"2019","unstructured":"Liu, Y. et al. ACAT: A fast and powerful p value combination method for Rare-Variant analysis in sequencing studies. Am. J. Hum. Genet. 104(3), 410\u2013421 (2019).","journal-title":"Am. J. Hum. Genet."},{"key":"22475_CR43","doi-asserted-by":"crossref","unstructured":"Yang, Q. & Wang, Y. Methods for analyzing multivariate phenotypes in genetic association studies. J. Probab. Stat.  2012, 652569 (2012).","DOI":"10.1155\/2012\/652569"},{"issue":"527","key":"22475_CR44","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1080\/01621459.2018.1513363","volume":"114","author":"Z Liu","year":"2019","unstructured":"Liu, Z. & Lin, X. A geometric perspective on the power of principal component association tests in multiple phenotype studies. J. Am. Stat. Assoc. 114(527), 975\u2013990 (2019).","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"22475_CR45","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1002\/gepi.22124","volume":"42","author":"X Liang","year":"2018","unstructured":"Liang, X. et al. A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes. Genet. Epidemiol. 42(4), 344\u2013353 (2018).","journal-title":"Genet. Epidemiol."},{"key":"22475_CR46","doi-asserted-by":"crossref","unstructured":"Bycroft, C. et al. Genome-wide genetic data on ~\u2009500,000 UK Biobank participants. BioRxiv. 166298 (2017).","DOI":"10.1101\/166298"},{"key":"22475_CR47","doi-asserted-by":"crossref","unstructured":"Sudlow, C. et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12(3), e1001779 (2015).","DOI":"10.1371\/journal.pmed.1001779"},{"issue":"11","key":"22475_CR48","doi-asserted-by":"publisher","first-page":"e0276646","DOI":"10.1371\/journal.pone.0276646","volume":"17","author":"X Liang","year":"2022","unstructured":"Liang, X. et al. HCLC-FC: A novel statistical method for phenome-wide association studies. PLoS One. 17(11), e0276646 (2022).","journal-title":"PLoS One"},{"issue":"3","key":"22475_CR49","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/0306-4379(86)90029-3","volume":"11","author":"FM Malvestuto","year":"1986","unstructured":"Malvestuto, F. M. Statistical treatment of the information content of a database. Inform. Syst. 11(3), 211\u2013223 (1986).","journal-title":"Inform. Syst."},{"key":"22475_CR50","doi-asserted-by":"publisher","first-page":"42804","DOI":"10.1038\/srep42804","volume":"7","author":"B Zu","year":"2017","unstructured":"Zu, B. et al. Association between ABO blood group and risk of congenital heart disease: A 6-year large cohort study. Sci. Rep. 7, 42804 (2017).","journal-title":"Sci. Rep."},{"key":"22475_CR51","doi-asserted-by":"crossref","unstructured":"Pan-Lizcano, R. et al. LncRNA CDKN2B-AS1 is downregulated in patients with ventricular fibrillation in acute myocardial infarction. PLoS ONE. 19(5), e0304041 (2024).","DOI":"10.1371\/journal.pone.0304041"},{"issue":"9","key":"22475_CR52","doi-asserted-by":"publisher","first-page":"1867","DOI":"10.1093\/hmg\/ddw037","volume":"25","author":"DA Hinds","year":"2016","unstructured":"Hinds, D. A. et al. Genome-wide association analysis of self-reported events in 6135 individuals and 252 827 controls identifies 8 loci associated with thrombosis. Hum. Mol. Genet. 25(9), 1867\u20131874 (2016).","journal-title":"Hum. Mol. Genet."},{"key":"22475_CR53","doi-asserted-by":"publisher","first-page":"157","DOI":"10.3389\/fgene.2020.00157","volume":"11","author":"TA Myers","year":"2020","unstructured":"Myers, T. A., Chanock, S. J. & Machiela, M. J. LDlinkR: an R package for rapidly calculating linkage disequilibrium statistics in diverse populations. Front. Genet. 11, 157 (2020).","journal-title":"Front. Genet."},{"issue":"8","key":"22475_CR54","doi-asserted-by":"publisher","first-page":"2628","DOI":"10.1093\/bioinformatics\/btz931","volume":"36","author":"SX Ge","year":"2020","unstructured":"Ge, S. X., Jung, D. & Yao, R. ShinyGO: a graphical gene-set enrichment tool for animals and plants. Bioinformatics 36(8), 2628\u20132629 (2020).","journal-title":"Bioinformatics"},{"issue":"D1","key":"22475_CR55","doi-asserted-by":"publisher","first-page":"D1300","DOI":"10.1093\/nar\/gkac966","volume":"51","author":"H Zhou","year":"2023","unstructured":"Zhou, H. et al. FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Res. 51(D1), D1300\u2013D1311 (2023).","journal-title":"Nucleic Acids Res."},{"issue":"4","key":"22475_CR56","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1038\/nbt.3157","volume":"33","author":"J Ernst","year":"2015","unstructured":"Ernst, J. & Kellis, M. Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues. Nat. Biotechnol. 33(4), 364\u2013376 (2015).","journal-title":"Nat. Biotechnol."},{"issue":"9","key":"22475_CR57","doi-asserted-by":"publisher","first-page":"1339","DOI":"10.1038\/s41588-019-0481-0","volume":"51","author":"K Watanabe","year":"2019","unstructured":"Watanabe, K. et al. A global overview of pleiotropy and genetic architecture in complex traits. Nat. Genet. 51(9), 1339\u20131348 (2019).","journal-title":"Nat. Genet."},{"key":"22475_CR58","doi-asserted-by":"publisher","first-page":"1359591","DOI":"10.3389\/fgene.2024.1359591","volume":"15","author":"L Zhu","year":"2024","unstructured":"Zhu, L., Zhang, S. & Sha, Q. Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts. Front. Genet. 15, 1359591 (2024).","journal-title":"Front. Genet."},{"issue":"2","key":"22475_CR59","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1038\/s43588-024-00764-8","volume":"5","author":"X Li","year":"2025","unstructured":"Li, X. et al. A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. Nat. Comput. Sci. 5(2), 125\u2013143 (2025).","journal-title":"Nat. Comput. Sci."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-22475-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-22475-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-22475-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T20:02:51Z","timestamp":1762286571000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-22475-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,4]]},"references-count":59,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["22475"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-22475-4","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-6026484\/v1","asserted-by":"object"}]},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,4]]},"assertion":[{"value":"14 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"38601"}}