{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T18:59:23Z","timestamp":1775847563380,"version":"3.50.1"},"reference-count":71,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Over the past decade, statistical methods have been developed to estimate single nucleotide polymorphism (SNP) heritability, which measures the proportion of phenotypic variance explained by all measured SNPs in the data. Estimates of SNP heritability measure the degree to which the available genetic variants influence phenotypes and improve our understanding of the genetic architecture of complex phenotypes. In this article, we review the recently developed and commonly used SNP heritability estimation methods for continuous and binary phenotypes from the perspective of model assumptions and parameter optimization. We primarily focus on their capacity to handle multiple phenotypes and longitudinal measurements, their ability for SNP heritability partition and their use of individual-level data versus summary statistics. State-of-the-art statistical methods that are scalable to the UK Biobank dataset are also elucidated in detail.<\/jats:p>","DOI":"10.1093\/bib\/bbac067","type":"journal-article","created":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T12:11:01Z","timestamp":1644408661000},"source":"Crossref","is-referenced-by-count":41,"title":["A review of SNP heritability estimation methods"],"prefix":"10.1093","volume":"23","author":[{"given":"Mingsheng","family":"Tang","sequence":"first","affiliation":[{"name":"Division of Health Statistics, School of Public Health, Shanxi Medical University, No.56 Xin jian South Road, 030001, Shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Wang","sequence":"additional","affiliation":[{"name":"Division of Health Statistics, School of Public Health, Shanxi Medical University, No.56 Xin jian South Road, 030001, Shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuefen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Social Medicine, School of Public Health, Shanxi Medical University, No.56 Xin jian South Road, 030001, Shanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"issue":"2","key":"2022051813162737400_ref1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/nrg3377","article-title":"The heritability of human disease: estimation, uses and abuses","volume":"14","author":"Tenesa","year":"2013","journal-title":"Nat Rev Genet"},{"key":"2022051813162737400_ref2","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1146\/annurev-genet-111212-133258","article-title":"Estimation and partition of heritability in human populations using whole-genome analysis methods","volume":"47","author":"Vinkhuyzen","year":"2013","journal-title":"Annu Rev Genet"},{"issue":"4","key":"2022051813162737400_ref3","doi-asserted-by":"crossref","first-page":"332","DOI":"10.2174\/1389202918666170307161450","article-title":"Assessing the heritability of complex traits in humans: methodological challenges and opportunities","volume":"18","author":"Mayhew","year":"2017","journal-title":"Curr Genomics"},{"issue":"D1","key":"2022051813162737400_ref4","doi-asserted-by":"crossref","first-page":"D896","DOI":"10.1093\/nar\/gkw1133","article-title":"The new NHGRI-EBI catalog of published genome-wide association studies (GWAS catalog)","volume":"45","author":"MacArthur","year":"2017","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"2022051813162737400_ref5","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"},{"issue":"7218","key":"2022051813162737400_ref6","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":"Nat News"},{"issue":"7265","key":"2022051813162737400_ref7","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1038\/nature08494","article-title":"Finding the missing heritability of complex diseases","volume":"461","author":"Manolio","year":"2009","journal-title":"Nature"},{"issue":"5","key":"2022051813162737400_ref8","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1038\/ng0508-489","article-title":"Sizing up human height variation","volume":"40","author":"Visscher","year":"2008","journal-title":"Nat Genet"},{"issue":"11","key":"2022051813162737400_ref9","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1038\/ng.3097","article-title":"Defining the role of common variation in the genomic and biological architecture of adult human height","volume":"46","author":"Wood","year":"2014","journal-title":"Nat Genet"},{"issue":"5","key":"2022051813162737400_ref10","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1375\/136905203770326402","article-title":"Heritability of adult body height: a comparative study of twin cohorts in eight countries","volume":"6","author":"Silventoinen","year":"2003","journal-title":"Twin Res Hum Genet"},{"issue":"7","key":"2022051813162737400_ref11","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1038\/ng.608","article-title":"Common SNPs explain a large proportion of the heritability for human height","volume":"42","author":"Yang","year":"2010","journal-title":"Nat Genet"},{"issue":"3","key":"2022051813162737400_ref12","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1002\/gepi.20297","article-title":"Estimation of significance thresholds for genomewide association scans","volume":"32","author":"Dudbridge","year":"2008","journal-title":"Genet Epidemiol"},{"issue":"2","key":"2022051813162737400_ref13","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1093\/genetics\/35.2.212","article-title":"Heritability of threshold characters","volume":"35","author":"Dempster","year":"1950","journal-title":"Genetics"},{"issue":"1","key":"2022051813162737400_ref14","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1111\/j.1469-1809.1965.tb00500.x","article-title":"The inheritance of liability to certain diseases, estimated from the incidence among relatives","volume":"29","author":"Falconer","year":"1965","journal-title":"Ann Hum Genet"},{"issue":"3","key":"2022051813162737400_ref15","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.ajhg.2011.02.002","article-title":"Estimating missing heritability for disease from genome-wide association studies","volume":"88","author":"Lee","year":"2011","journal-title":"Am J Hum Genet"},{"issue":"3","key":"2022051813162737400_ref16","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1093\/biomet\/58.3.545","article-title":"Recovery of inter-block information when block sizes are unequal","volume":"58","author":"Desmond Patterson","year":"1971","journal-title":"Biometrika"},{"issue":"49","key":"2022051813162737400_ref17","doi-asserted-by":"crossref","first-page":"E5272","DOI":"10.1073\/pnas.1419064111","article-title":"Measuring missing heritability: inferring the contribution of common variants","volume":"111","author":"Golan","year":"2014","journal-title":"Proc Natl Acad Sci"},{"key":"2022051813162737400_ref18","doi-asserted-by":"crossref","first-page":"1780","DOI":"10.1214\/11-AOAS455","article-title":"Bayesian variable selection regression for genome-wide association studies and other large-scale problems","volume":"5","author":"Guan","year":"2011","journal-title":"Ann Appl Stat"},{"issue":"422","key":"2022051813162737400_ref19","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1080\/01621459.1993.10476321","article-title":"Bayesian analysis of binary and polychotomous response data","volume":"88","author":"Albert","year":"1993","journal-title":"J Am Stat Assoc"},{"issue":"1","key":"2022051813162737400_ref20","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","article-title":"Gcta: a tool for genome-wide complex trait analysis","volume":"88","author":"Jian Yang","year":"2011","journal-title":"Am J Hum Genet"},{"issue":"10","key":"2022051813162737400_ref21","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1038\/ng.3390","article-title":"Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index","volume":"47","author":"Yang","year":"2015","journal-title":"Nat Genet"},{"issue":"5","key":"2022051813162737400_ref22","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1038\/s41588-018-0108-x","article-title":"Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits","volume":"50","author":"Evans","year":"2018","journal-title":"Nat Genet"},{"key":"2022051813162737400_ref23","first-page":"588020","article-title":"Recovery of trait heritability from whole genome sequence data","author":"Wainschtein","year":"2019"},{"issue":"2","key":"2022051813162737400_ref24","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1003264","article-title":"Polygenic modeling with Bayesian sparse linear mixed models","volume":"9","author":"Zhou","year":"2013","journal-title":"PLoS Genet"},{"issue":"6","key":"2022051813162737400_ref25","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1016\/j.ajhg.2012.10.010","article-title":"Improved heritability estimation from genome-wide SNPs","volume":"91","author":"Speed","year":"2012","journal-title":"Am J Hum Genet"},{"issue":"7","key":"2022051813162737400_ref26","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1038\/ng.3865","article-title":"Reevaluation of SNP heritability in complex human traits","volume":"49","author":"Speed","year":"2017","journal-title":"Nat Genet"},{"issue":"6","key":"2022051813162737400_ref27","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1038\/ng.823","article-title":"Genome partitioning of genetic variation for complex traits using common SNPs","volume":"43","author":"Yang","year":"2011","journal-title":"Nat Genet"},{"issue":"8","key":"2022051813162737400_ref28","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1038\/s41588-019-0465-0","article-title":"Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture","volume":"51","author":"Hou","year":"2019","journal-title":"Nat Genet"},{"key":"2022051813162737400_ref29","doi-asserted-by":"crossref","first-page":"107","DOI":"10.3389\/fgene.2014.00107","article-title":"Estimating heritability of complex traits from genome-wide association studies using IBS-based Haseman\u2013Elston regression","volume":"5","author":"Chen","year":"2014","journal-title":"Front Genet"},{"issue":"1","key":"2022051813162737400_ref30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/1098-2272(200007)19:1<1::AID-GEPI1>3.0.CO;2-E","article-title":"Haseman and Elston revisited","volume":"19","author":"Elston","year":"2000","journal-title":"Genet Epidemiol"},{"issue":"9","key":"2022051813162737400_ref31","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1038\/s41588-018-0178-9","article-title":"Relatedness disequilibrium regression estimates heritability without environmental bias","volume":"50","author":"Young","year":"2018","journal-title":"Nat Genet"},{"issue":"12","key":"2022051813162737400_ref32","doi-asserted-by":"crossref","first-page":"3795","DOI":"10.1093\/bioinformatics\/btaa199","article-title":"Estimation of dynamic SNP-heritability with Bayesian Gaussian process models","volume":"36","author":"Arjas","year":"2020","journal-title":"Bioinformatics"},{"issue":"4","key":"2022051813162737400_ref33","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1093\/genetics\/157.4.1819","article-title":"Prediction of total genetic value using genome-wide dense marker maps","volume":"157","author":"Meuwissen","year":"2001","journal-title":"Genetics"},{"issue":"1","key":"2022051813162737400_ref34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2105-12-186","article-title":"Extension of the Bayesian alphabet for genomic selection","volume":"12","author":"Habier","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"2022051813162737400_ref35","volume-title":"BMC Proceedings","author":"Verbyla","year":"2010"},{"issue":"2","key":"2022051813162737400_ref36","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1534\/genetics.107.085589","article-title":"Bayesian lasso for quantitative trait loci mapping","volume":"179","author":"Yi","year":"2008","journal-title":"Genetics"},{"issue":"482","key":"2022051813162737400_ref37","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1198\/016214508000000337","article-title":"The Bayesian lasso","volume":"103","author":"Park","year":"2008","journal-title":"J Am Stat Assoc"},{"issue":"7","key":"2022051813162737400_ref38","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1000130","article-title":"Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies","volume":"4","author":"Hoggart","year":"2008","journal-title":"PLoS Genet"},{"issue":"4","key":"2022051813162737400_ref39","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004969","article-title":"Simultaneous discovery, estimation and prediction analysis of complex traits using a Bayesian mixture model","volume":"11","author":"Moser","year":"2015","journal-title":"PLoS Genet"},{"issue":"2","key":"2022051813162737400_ref40","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1038\/nrg.2016.142","article-title":"Dissecting the genetics of complex traits using summary association statistics","volume":"18","author":"Pasaniuc","year":"2017","journal-title":"Nat Rev Genet"},{"issue":"3","key":"2022051813162737400_ref41","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"},{"issue":"11","key":"2022051813162737400_ref42","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":"2","key":"2022051813162737400_ref43","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1038\/s41588-018-0279-5","article-title":"Sumher better estimates the SNP heritability of complex traits from summary statistics","volume":"51","author":"Speed","year":"2019","journal-title":"Nat Genet"},{"issue":"1","key":"2022051813162737400_ref44","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.ajhg.2018.06.002","article-title":"Estimating SNP-based heritability and genetic correlation in case-control studies directly and with summary statistics","volume":"103","author":"Weissbrod","year":"2018","journal-title":"Am J Hum Genet"},{"issue":"4","key":"2022051813162737400_ref45","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1214\/17-AOAS1052","article-title":"A unified framework for variance component estimation with summary statistics in genome-wide association studies","volume":"11","author":"Zhou","year":"2017","journal-title":"Ann Appl Stat"},{"issue":"329","key":"2022051813162737400_ref46","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1080\/01621459.1970.10481070","article-title":"Estimation of heteroscedastic variances in linear models","volume":"65","author":"Rao","year":"1970","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"2022051813162737400_ref47","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/0047-259X(71)90001-7","article-title":"Estimation of variance and covariance components Minque theory","volume":"1","author":"Rao","year":"1971","journal-title":"J Multivariate Anal"},{"issue":"337","key":"2022051813162737400_ref48","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1080\/01621459.1972.10481212","article-title":"Estimation of variance and covariance components in linear models","volume":"67","author":"Rao","year":"1972","journal-title":"J Am Stat Assoc"},{"issue":"1","key":"2022051813162737400_ref49","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.ajhg.2016.05.013","article-title":"Contrasting the genetic architecture of 30 complex traits from summary association data","volume":"99","author":"Shi","year":"2016","journal-title":"Am J Hum Genet"},{"issue":"4","key":"2022051813162737400_ref50","doi-asserted-by":"crossref","first-page":"2509","DOI":"10.1214\/19-AOAS1291","article-title":"A simple, consistent estimator of SNP heritability from genome-wide association studies","volume":"13","author":"Schwartzman","year":"2019","journal-title":"Ann Appl Stat"},{"issue":"2","key":"2022051813162737400_ref51","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1093\/biomet\/ast065","article-title":"Variance estimation in high-dimensional linear models","volume":"101","author":"Dicker","year":"2014","journal-title":"Biometrika"},{"key":"2022051813162737400_ref52","volume-title":"Common Polygenic Variation Contributes to Risk of Schizophrenia and Bipolar Disorder","author":"HLAA HLA-C","year":"2009"},{"issue":"2","key":"2022051813162737400_ref53","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.ajhg.2015.06.005","article-title":"A fast method that uses polygenic scores to estimate the variance explained by genome-wide marker panels and the proportion of variants affecting a trait","volume":"97","author":"Palla","year":"2015","journal-title":"Am J Hum Genet"},{"issue":"4","key":"2022051813162737400_ref54","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1038\/nmeth.2848","article-title":"Efficient multivariate linear mixed model algorithms for genome-wide association studies","volume":"11","author":"Zhou","year":"2014","journal-title":"Nat Methods"},{"issue":"9","key":"2022051813162737400_ref55","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1093\/bioinformatics\/btw012","article-title":"Mtg2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information","volume":"32","author":"Lee","year":"2016","journal-title":"Bioinformatics"},{"issue":"12","key":"2022051813162737400_ref56","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1038\/ng.3431","article-title":"Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis","volume":"47","author":"Loh","year":"2015","journal-title":"Nat Genet"},{"issue":"5","key":"2022051813162737400_ref57","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1038\/s41431-018-0100-z","article-title":"Improved estimation of SNP heritability using Bayesian multiple-phenotype models","volume":"26","author":"Elhezzani","year":"2018","journal-title":"Eur J Hum Genet"},{"issue":"1","key":"2022051813162737400_ref58","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/ncomms13291","article-title":"Multidimensional heritability analysis of neuroanatomical shape","volume":"7","author":"Ge","year":"2016","journal-title":"Nat Commun"},{"issue":"12","key":"2022051813162737400_ref59","doi-asserted-by":"crossref","first-page":"3305","DOI":"10.1002\/hbm.25018","article-title":"Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns","volume":"41","author":"Feng","year":"2020","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"2022051813162737400_ref60","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1006711","article-title":"Phenome-wide heritability analysis of the UK Biobank","volume":"13","author":"Ge","year":"2017","journal-title":"PLoS Genet"},{"issue":"13","key":"2022051813162737400_ref61","doi-asserted-by":"crossref","first-page":"i187","DOI":"10.1093\/bioinformatics\/bty253","article-title":"A scalable estimator of SNP heritability for biobank-scale data","volume":"34","author":"Yue","year":"2018","journal-title":"Bioinformatics"},{"key":"2022051813162737400_ref62","first-page":"522003","article-title":"Scalable multi-component linear mixed models with application to SNP heritability estimation","author":"Pazokitoroudi","year":"2019"},{"issue":"1","key":"2022051813162737400_ref63","doi-asserted-by":"crossref","first-page":"360","DOI":"10.3168\/jds.2007-0403","article-title":"Computing strategies in genome-wide selection","volume":"91","author":"Legarra","year":"2008","journal-title":"J Dairy Sci"},{"issue":"11","key":"2022051813162737400_ref64","doi-asserted-by":"crossref","first-page":"4414","DOI":"10.3168\/jds.2007-0980","article-title":"Efficient methods to compute genomic predictions","volume":"91","author":"VanRaden","year":"2008","journal-title":"J Dairy Sci"},{"issue":"8","key":"2022051813162737400_ref65","doi-asserted-by":"crossref","first-page":"2479","DOI":"10.1073\/pnas.1415603112","article-title":"Massively expedited genome-wide heritability analysis (megha)","volume":"112","author":"Ge","year":"2015","journal-title":"Proc Natl Acad Sci"},{"issue":"3","key":"2022051813162737400_ref66","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001779","article-title":"UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age","volume":"12","author":"Sudlow","year":"2015","journal-title":"PLoS Med"},{"issue":"7726","key":"2022051813162737400_ref67","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","article-title":"The UK Biobank resource with deep phenotyping and genomic data","volume":"562","author":"Bycroft","year":"2018","journal-title":"Nature"},{"key":"2022051813162737400_ref68","first-page":"166298","article-title":"Genome-wide genetic data on~ 500,000 UK Biobank participants","author":"Bycroft","year":"2017"},{"issue":"3","key":"2022051813162737400_ref69","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.ipl.2008.09.028","article-title":"The mailman algorithm: a note on matrix\u2013vector multiplication","volume":"109","author":"Liberty","year":"2009","journal-title":"Inform Process Lett"},{"issue":"4","key":"2022051813162737400_ref70","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1038\/nrg2322","article-title":"Heritability in the genomics era concepts and misconceptions","volume":"9","author":"Visscher","year":"2008","journal-title":"Nat Rev Genet"},{"issue":"9","key":"2022051813162737400_ref71","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1038\/ng.3941","article-title":"Concepts, estimation and interpretation of SNP-based heritability","volume":"49","author":"Yang","year":"2017","journal-title":"Nat Genet"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/3\/bbac067\/43745247\/bbac067.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/3\/bbac067\/43745247\/bbac067.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T13:19:59Z","timestamp":1652879999000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbac067\/6548385"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,14]]},"references-count":71,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,5,13]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbac067","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,5]]},"published":{"date-parts":[[2022,3,14]]},"article-number":"bbac067"}}