Evidence map›Paper›PMID 37340842›Full record

ArticleCancer research and treatment2024

Functional Annotation and Gene Set Analysis of Gastric Cancer Risk Loci in a Korean Population.

Hyojin Pyun, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Joohon Sung, Jeongseon Kim

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Hyojin PyunDivision of Genome and Health Big Data, Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Madhawa GunathilakeDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang, Korea.
Jeonghee LeeDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang, Korea.
Il Ju ChoiCenter for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang, Korea.
Young-Il KimCenter for Gastric Cancer, National Cancer Center Hospital, National Cancer Center, Goyang, Korea.
Joohon SungDivision of Genome and Health Big Data, Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Jeongseon KimDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang, Korea.
National Cancer Center · KRSeoul National University · KR

Funding

National Research Foundation of Korea 2021R1A2C2008439
6 · The paper itself

Abstract

purposeWe aimed to identify the associated single nucleotide polymorphisms (SNPs) with gastric cancer (GC) risk by genome-wide association study (GWAS) and to explore the pathway enrichment of implicated genes and gene-sets with expression patterns. MATERIALS AND

methodsThe study population was comprised of 1,253 GC cases and 4,827 controls from National Cancer Center and an urban community of the Korean Genome Epidemiology Study and their genotyping was performed. SNPs were annotated, and mapped to genes to prioritize by three mapping approaches by functional mapping and annotation (FUMA). The gene-based analysis and gene-set analysis were conducted with full GWAS summary data using MAGMA. Gene-set pathway enrichment test with those prioritized genes were performed.

resultsIn GWAS, rs2303771, a nonsynonymous variant of KLHDC4 gene was top SNP associated significantly with GC (odds ratio, 2.59; p=1.32×10-83). In post-GWAS, 71 genes were prioritized. In gene-based GWAS, seven genes were under significant p < 3.80×10-6 (0.05/13,114); DEFB108B had the lowest p=5.94×10-15, followed by FAM86C1 (p=1.74×10-14), PSCA (p=1.81×10-14), and KLHDC4 (p=5.00×10-10). In gene prioritizing, KLDHC4 was the only gene mapped with all three gene-mapping approaches. In pathway enrichment test with prioritized genes, FOLR2, PSCA, LY6K, LYPD2, and LY6E showed strong enrichment related to cellular component of membrane; a post-translation modification by synthesis of glycosylphosphatidylinositol (GPI)-anchored proteins pathway.

conclusionWhile 37 SNPs were significantly associated with the risk of GC, genes involved in signaling pathways related to purine metabolism and GPI-anchored protein in cell membrane are pinpointed to be playing important role in GC.

Indexed as

Folate Receptor 2Stomach NeoplasmsGenome-Wide Association StudyHumansRepublic of KoreaFolate Receptor 2FOLR2 protein, humanFunctional annotationGene enrichment analysisGenome-wide association studyPost-GWASStomach neoplasms

Identifiers

PMID37340842
PMCPMC10789951
OpenAlexW4381436454

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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 OpenQuestion graph.