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Estimating population structure using epigenome-wide methylation data

Briefings in Bioinformatics(2026)10.1093/bib/bbag142Source: DataRank Database

Estimating population structure using epigenome-wide methylation data is a research paper published in Briefings in Bioinformatics (2026). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: goldTopics (25)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (17)

Kent D Taylor,Jerome I. Rotter ORCID,Stephen S Rich,Yinan Zheng ORCID,Lifang Hou

Live enrichment

PubMed:41902502 PMC:PMC13032028 OpenAlex:https://openalex.org/W7141983347

National Heart, Lung, and Blood Institute

Grant: R01HL161012

FWCI

0.00

Citation Percentile

0.3%

goldLicense: cc-by

journalhttps://academic.oup.com/bib/article-pdf/27/2/bbag142/67619157/bbag142.pdf

publisherhttps://academic.oup.com/bib/article-pdf/27/2/bbag142/67619157/bbag142.pdf

journalhttps://doi.org/10.1093/bib/bbag142

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41902502

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13032028/

Fields of Study

Epigenetics and DNA MethylationGenetic Associations and EpidemiologyHealth, Environment, Cognitive Aging

MeSH Terms

EpigenomeFemaleGenetics, PopulationHumansMaleMiddle AgedCpG IslandsDNA MethylationPrincipal Component AnalysisEpigenesis, GeneticGenome-Wide Association StudyEpigenomics

Keywords

PopulationPrincipal component analysisRegressionFeature selectionCovariatePopulation stratificationLasso (programming language)Linear regressionDNA methylationEpigenome-wide Association Study (Ewas)

Sustainable Development Goals

SDG 0: Good health and well-being

Estimating population structure using epigenome-wide methylation data

FAIR Checklist

Authors (17)

Funding (1 grants)

Impact

Open Access

Topics