Evidence map›Paper›PMID 35379174›Full record

ArticleBMC genomics2022

Identification and functional validation of HLA-C as a potential gene involved in colorectal cancer in the Korean population.

Eun Bi Lim, Ho-Suk Oh, Kang Chang Kim, Moon-Ho Kim, Young Jin Kim, Bong Jo Kim, Chu Won Nho, Yoon Shin Cho

Abstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Eun Bi Lim *Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, 24252, Republic of Korea.
Ho-Suk Oh *Department of Internal Medicine, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Gangwon-do, Republic of Korea.
Kang Chang KimDepartment of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, 24252, Republic of Korea.
Moon-Ho KimDepartment of Internal Medicine, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Gangwon-do, Republic of Korea.
Young Jin KimDivision of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea.
Bong Jo KimDivision of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea.
Chu Won NhoConvergence Research Center for Smart Farm Solution, Korea Institute of Science and Technology, Gangneung, Gangwon-do, Republic of Korea.
Yoon Shin ChoDepartment of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, 24252, Republic of Korea. yooncho33@hallym.ac.kr.

Funding

Hallym University HRF-202002-008National Research Foundation of Korea 2020R1I1A2075302
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third most common cancer worldwide and is influenced by environmental and genetic factors. Although numerous genetic loci for CRC have been identified, the overall understanding of the genetic factors is yet to be elucidated. We sought to discover new genes involved in CRC applying genetic association analysis and functional study.

resultsWe conducted exome array analysis on 194 CRC and 600 control subjects for discovering new candidate CRC genes. Fisher's exact test detected one exome-wide significant functional locus for CRC on SMCO1 (P < 10

conclusionsExome array CRC case-control analysis followed by functional validation demonstrated that HLA-C likely exerts its influence on CRC development via cancer-related signaling pathways.

Indexed as

Colorectal NeoplasmsHLA-C AntigensGenes, MHC Class IGenetic Predisposition to DiseaseHedgehog ProteinsHumansReproducibility of ResultsRepublic of KoreaHedgehog ProteinsHLA-C AntigensColorectal cancerExome array association analysisFunctional validationRNA sequencing

Identifiers

PMID35379174
PMCPMC8981957

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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.