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Meta-Analysis
. 2021 Jul;70(7):1325-1334.
doi: 10.1136/gutjnl-2020-321534. Epub 2021 Feb 25.

Genetic architectures of proximal and distal colorectal cancer are partly distinct

Jeroen R Huyghe  1 Tabitha A Harrison  1 Stephanie A Bien  1 Heather Hampel  2 Jane C Figueiredo  3   4 Stephanie L Schmit  5 David V Conti  6 Sai Chen  7 Conghui Qu  1 Yi Lin  1 Richard Barfield  1 John A Baron  8 Amanda J Cross  9 Brenda Diergaarde  10   11 David Duggan  12 Sophia Harlid  13 Liher Imaz  14 Hyun Min Kang  7 David M Levine  15 Vittorio Perduca  16   17 Aurora Perez-Cornago  18 Lori C Sakoda  1   19 Fredrick R Schumacher  20 Martha L Slattery  21 Amanda E Toland  22 Fränzel J B van Duijnhoven  23 Bethany Van Guelpen  13 Antonio Agudo  24 Demetrius Albanes  25 M Henar Alonso  26   27   28 Kristin Anderson  29 Coral Arnau-Collell  30 Volker Arndt  31 Barbara L Banbury  1 Michael C Bassik  32 Sonja I Berndt  25 Stéphane Bézieau  33 D Timothy Bishop  34 Juergen Boehm  35 Heiner Boeing  36 Marie-Christine Boutron-Ruault  17   37 Hermann Brenner  31   38   39 Stefanie Brezina  40 Stephan Buch  41 Daniel D Buchanan  42   43   44 Andrea Burnett-Hartman  45 Bette J Caan  46 Peter T Campbell  47 Prudence R Carr  48 Antoni Castells  30 Sergi Castellví-Bel  30 Andrew T Chan  49   50   51   52   53   54 Jenny Chang-Claude  55   56 Stephen J Chanock  25 Keith R Curtis  1 Albert de la Chapelle  57 Douglas F Easton  58 Dallas R English  42   59 Edith J M Feskens  23 Manish Gala  49   51 Steven J Gallinger  60 W James Gauderman  6 Graham G Giles  42   59 Phyllis J Goodman  61 William M Grady  62   63 John S Grove  64 Andrea Gsur  40 Marc J Gunter  65 Robert W Haile  4 Jochen Hampe  41 Michael Hoffmeister  31 John L Hopper  42   66 Wan-Ling Hsu  15 Wen-Yi Huang  25 Thomas J Hudson  67 Mazda Jenab  65 Mark A Jenkins  42 Amit D Joshi  51   53 Temitope O Keku  68 Charles Kooperberg  1 Tilman Kühn  55 Sébastien Küry  33 Loic Le Marchand  64 Flavio Lejbkowicz  69   70   71 Christopher I Li  1 Li Li  72 Wolfgang Lieb  73 Annika Lindblom  74   75 Noralane M Lindor  76 Satu Männistö  77 Sanford D Markowitz  78 Roger L Milne  42   59 Lorena Moreno  30 Neil Murphy  65 Rami Nassir  79 Kenneth Offit  80   81 Shuji Ogino  52   53   82   83 Salvatore Panico  84 Patrick S Parfrey  85 Rachel Pearlman  2 Paul D P Pharoah  58 Amanda I Phipps  1   86 Elizabeth A Platz  87 John D Potter  1 Ross L Prentice  1 Lihong Qi  88 Leon Raskin  89 Gad Rennert  70   71   90 Hedy S Rennert  70   71   90 Elio Riboli  91 Clemens Schafmayer  92 Robert E Schoen  93 Daniela Seminara  94 Mingyang Song  49   51   95 Yu-Ru Su  1 Catherine M Tangen  61 Stephen N Thibodeau  96 Duncan C Thomas  6 Antonia Trichopoulou  97   98 Cornelia M Ulrich  35 Kala Visvanathan  87 Pavel Vodicka  99   100   101 Ludmila Vodickova  99   100   101 Veronika Vymetalkova  99   100   101 Korbinian Weigl  31   39   102 Stephanie J Weinstein  25 Emily White  1 Alicja Wolk  103 Michael O Woods  104 Anna H Wu  6 Goncalo R Abecasis  7 Deborah A Nickerson  105 Peter C Scacheri  106 Anshul Kundaje  32   107 Graham Casey  108 Stephen B Gruber  109   110 Li Hsu  1   15 Victor Moreno  26   27   28 Richard B Hayes  111 Polly A Newcomb  1   86 Ulrike Peters  112   86
Affiliations
Meta-Analysis

Genetic architectures of proximal and distal colorectal cancer are partly distinct

Jeroen R Huyghe et al. Gut. 2021 Jul.

Abstract

Objective: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined.

Design: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling.

Results: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer.

Conclusion: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.

Keywords: cancer genetics; cancer susceptibility; colon carcinogenesis; colorectal cancer; genetic polymorphisms.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Primary tumour site-specific associations for the lead single nucleotide polymorphisms (SNPs) of the 13 colorectal cancer risk loci not reported in previous genome-wide association studies. The forest plot shows the (log-additive) OR estimates together with 95% CIs. For clarity, this figure only shows results for the proximal colon, distal colon and rectal cancer case subgroup analyses.
Figure 2
Figure 2
Loci showing association with risk of distal colorectal cancer (ie, distal colon+rectal), but attenuated or no evidence for association with proximal colon cancer risk. The forest plot shows the (log-additive) OR estimates for the lead single nucleotide polymorphisms (SNPs) at the loci, together with 95% CIs, from the genome-wide association study meta-analyses of case subgroups defined by primary tumour anatomical subsite for proximal colon, distal colon and rectal. Best model is the best-fitting multinomial logistic regression model according to the Bayesian information criterion (BIC). Models are defined in online supplemental table 2. Phet is the p value from a test for heterogeneity of allelic effects across tumour subsites.

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