{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lyu C"],"funding":["National Heart, Lung and Blood Institute","Eunice Kennedy Shriver National Institute of Child Health and Human Development","NICHD NIH HHS","NIDCR NIH HHS","National Institute of Dental and Craniofacial Research under award number","NIEHS NIH HHS","NHLBI NIH HHS"],"pagination":["3853-3862"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9364381"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["38(16)"],"pubmed_abstract":["<h4>Motivation</h4>CpG sites within the same genomic region often share similar methylation patterns and tend to be co-regulated by multiple genetic variants that may interact with one another.<h4>Results</h4>We propose a multi-trait methylation random field (multi-MRF) method to evaluate the joint association between a set of CpG sites and a set of genetic variants. The proposed method has several advantages. First, it is a multi-trait method that allows flexible correlation structures between neighboring CpG sites (e.g. distance-based correlation). Second, it is also a multi-locus method that integrates the effect of multiple common and rare genetic variants. Third, it models the methylation traits with a beta distribution to characterize their bimodal and interval properties. Through si"],"journal":["Bioinformatics (Oxford, England)"],"pubmed_title":["Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci."],"pmcid":["PMC9364381"],"funding_grant_id":["R01 HD039054","R03 HD092854","R03DE025646","K01 HL140333","R01HD039054","R03 DE025646","R03HD092854","P30 ES030285","K01HL140333","R03 DE024198"],"pubmed_authors":["Witte JS","Chen Z","Liu N","Huang M","Lyu C","Li M","Lupo PJ","Tycko B","Hobbs CA"],"additional_accession":[]},"is_claimable":false,"name":"Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.","description":"<h4>Motivation</h4>CpG sites within the same genomic region often share similar methylation patterns and tend to be co-regulated by multiple genetic variants that may interact with one another.<h4>Results</h4>We propose a multi-trait methylation random field (multi-MRF) method to evaluate the joint association between a set of CpG sites and a set of genetic variants. The proposed method has several advantages. First, it is a multi-trait method that allows flexible correlation structures between neighboring CpG sites (e.g. distance-based correlation). Second, it is also a multi-locus method that integrates the effect of multiple common and rare genetic variants. Third, it models the methylation traits with a beta distribution to characterize their bimodal and interval properties. Through si","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-21T22:12:48.043Z","creation":"2025-04-21T22:12:48.043Z"},"accession":"S-EPMC9364381","cross_references":{"pubmed":["35781319"],"doi":["10.1093/bioinformatics/btac443"]}}