Evidence mapPaperPMID 42589667Full record

ArticleInternational journal of molecular sciences2026

Functional Annotation of GWAS Loci Using Public Transcriptome and Epigenome Datasets Reveals Non-Coding Genes and Regulatory Elements Which May Contribute to BMI.

Chunting Yang, Xiangyuan Yu, Erica L Kleinbrink, Dale King, Li Chen, Leonard Lipovich

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chunting YangDepartment of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou 325035, China.ORCID 0009-0005-4354-9882
Xiangyuan YuDepartment of Biology, New College, University of Toronto, Toronto, ON M5S 1A1, Canada.ORCID 0009-0007-7872-4067
Erica L KleinbrinkQuantitative Life Sciences, McGill University, Montreal, QC H3A 0G4, Canada.ORCID 0000-0002-8565-207X
Dale KingCollege of Arts & Sciences, American University of Iraq, Baghdad, Airport Road, Baghdad 10023, Iraq.
Li ChenDepartment of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou 325035, China.
Leonard LipovichDepartment of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou 325035, China.

Funding

Wenzhou-Kean University Faculty Start-Up Research GrantWenzhou Municipal Key Laboratory for Applied Biomedical and Biopharmaceutical Informatics WB20211227000125Zhejiang Bioinformatics International Science and Technology Cooperation Center at Wenzhou-Kean University WB20210429000008
6 · The paper itself

Abstract

Genome-wide association studies have identified numerous genetic variants statistically significantly associated with body mass index (BMI). However, the functional mechanisms underlying most associations between single nucleotide polymorphisms (SNPs) in non-coding regions and BMI remain poorly understood. Here, we implemented an integrative 7-criterion quantitative scoring system (gene localization, histone modifications, transcription factor binding sites (TFBS), SNP clouds, tissue expression patterns, evolutionary conservation, and COVID-19 associations) to prioritize putative functional loci among 94 BMI-associated SNPs. Six SNPs resided within long non-coding RNA (lncRNA) genes: rs2245368 (exonic,

Indexed as

Body Mass IndexEpigenomeGenome-Wide Association StudyRegulatory Sequences, Nucleic AcidRNA, Long NoncodingTranscriptomeHumansPolymorphism, Single NucleotideRNA, Long Noncodingbody mass indexepigenomicsfunctional annotationgenome-wide association studieslong non-coding RNAobesity geneticsregulatory variants

Identifiers

PMID42589667
PMCPMC13466785

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.