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Gwas links new variant in long non-coding rna linc02006 with colorectal cancer susceptibility

  • Ewa E. Hennig
  • , Anna Kluska
  • , Magdalena Piatkowska
  • , Maria Kulecka
  • , Aneta Bałabas
  • , Natalia Zeber-Lubecka
  • , Krzysztof Goryca
  • , Filip Ambrożkiewicz
  • , Jakub Karczmarski
  • , Tomasz Olesiński
  • , Łukasz Zyskowski
  • , Jerzy Ostrowski

Research output: Contribution to journalArticlepeer-review

Abstract

Despite great efforts, most of the genetic factors contributing to the risk of colorectal cancer (CRC) remain undetermined. Including small but homogenous populations in genome-wide association studies (GWAS) can help us discover new common risk variants specific to the studied population. In this study, including 465 CRC patients and 1548 controls, a pooled DNA samples-based GWAS was conducted in search of genetic variants associated with CRC in a Polish population. Combined with a new method of selecting single-nucleotide polymorphisms (SNPs) for verification in individual DNA samples, this approach allowed the detection of five new susceptibility loci not previously reported for CRC. The discovered loci were found to explain 10% of the overall risk of developing CRC. The strongest association was observed for rs10935945 in long non-coding RNA LINC02006 (3q25.2). Three other SNPs were also located within genes (rs17575184 in NEGR1, rs11060839 in PIWIL1, rs12935896 in BCAS3), while one was intergenic (rs9927668 at 16p13.2). An expression quantitative trait locus (eQTL) bioinformatic analysis suggested that these polymorphisms may affect transcription factor binding sites. In conclusion, four of the identified variants were located within genes likely involved in tumor invasiveness and metastasis. Therefore, they could possibly be markers of poor prognosis in CRC patients.

Original languageEnglish
Article number465
JournalBiology
Volume10
Issue number6
DOIs
Publication statusPublished - Jun 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Colorectal cancer
  • Genome-wide association study
  • Long non-coding RNA
  • Metastasis
  • Polymorphism
  • Tumor progression

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