Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer

  • Laia Peruchet-Noray
  • , Anja M Sedlmeier
  • , Niki Dimou
  • , Hansjörg Baurecht
  • , Béatrice Fervers
  • , Emma Fontvieille
  • , Julian Konzok
  • , Kostas K Tsilidis
  • , Sofia Christakoudi
  • , Anna Jansana
  • , Reynalda Cordova
  • , Patricia Bohmann
  • , Michael J Stein
  • , Andrea Weber
  • , Stéphane Bézieau
  • , Hermann Brenner
  • , Andrew T Chan
  • , Iona Cheng
  • , Jane C Figueiredo
  • , Koldo Garcia-Etxebarria
  • Victor Moreno, Christina C Newton, Stephanie L Schmit, Mingyang Song, Cornelia M Ulrich, Pietro Ferrari, Vivian Viallon, Robert Carreras-Torres, Marc J Gunter, Heinz Freisling

Publications: Contribution to journalArticlePeer Reviewed

Abstract

It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.

Original languageEnglish
Article numbereadj1987
Pages (from-to)eadj1987
JournalScience Advances
Volume10
Issue number16
DOIs
Publication statusPublished - 19 Apr 2024

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

Austrian Fields of Science 2012

  • 303007 Epidemiology
  • 303025 Preventive medicine

Keywords

  • Humans
  • Somatotypes
  • Genome-Wide Association Study
  • Colorectal Neoplasms/genetics
  • Obesity/genetics
  • Phenotype
  • Genetic Variation
  • Risk Factors

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