Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

The bioinformatics approach to identifying pathogenic variants for colorectal cancer (CRC).

Created on 17 Sep 2026

Authors

Muhammad Ma'ruf, Lalu Muhammad Irham, Wirawan Adikusuma, Maulida Mazaya, Alfian Mubaraq, Didi Nurhadi Illian, Arini Sabilah Al Mustaqimah, Linda Chiuman, Hayssam M Ali, Shofiyah Sabilah Al Mustaniroh, Mohammad Basyuni

Published in

Journal, genetic engineering & biotechnology. Volume 24. Issue 3. Pages 100713. Epub May 31, 2026.

Abstract

Colorectal cancer (CRC) is the third most prevalent cancer globally, accounting for 9.6% of newly diagnosed cases and 9.3% of cancer-related deaths. It develops from the uncontrolled proliferation of glandular cells in the colon and rectum and is categorized into three primary types: sporadic, hereditary, and colitis-associated. While genetic susceptibility is a key factor in CRC pathogenesis, identifying high-impact pathogenic variants remains a significant challenge. This study integrates bioinformatics and population genetics approaches to identify CRC-associated single-nucleotide polymorphisms (SNPs) with potential clinical significance. CRC-associated SNPs were extracted from the Genome-Wide Association Studies (GWAS) Catalog, functionally annotated via HaploReg, and validated via Ensembl. In addition, expression quantitative trait locus (eQTL) data from the GTEx database were used to assess the effects of these variants on gene expression across human tissues. Our analysis identified three high-priority SNPs (rs9379084, rs3184504, and rs11557154) associated with the RREB1, ATXN2, SH2B3, and DCAF12 genes, which exhibited marked allele frequency differences among populations. These findings suggest potential biomarkers for CRC risk assessment and highlight the importance of genetic screening across diverse populations.

PMID:
42749394
Bibliographic data and abstract were imported from PubMed on 17 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 11
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement