Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Jan;51(1):76-87.
doi: 10.1038/s41588-018-0286-6. Epub 2018 Dec 3.

Discovery of common and rare genetic risk variants for colorectal cancer

Jeroen R Huyghe #  1 Stephanie A Bien #  1 Tabitha A Harrison #  1 Hyun Min Kang  2 Sai Chen  2 Stephanie L Schmit  3 David V Conti  4 Conghui Qu  1 Jihyoun Jeon  5 Christopher K Edlund  4 Peyton Greenside  6 Michael Wainberg  7 Fredrick R Schumacher  8 Joshua D Smith  9 David M Levine  10 Sarah C Nelson  10 Nasa A Sinnott-Armstrong  11 Demetrius Albanes  12 M Henar Alonso  13   14   15 Kristin Anderson  16 Coral Arnau-Collell  17 Volker Arndt  18 Christina Bamia  19   20 Barbara L Banbury  1 John A Baron  21 Sonja I Berndt  12 Stéphane Bézieau  22 D Timothy Bishop  23 Juergen Boehm  24 Heiner Boeing  25 Hermann Brenner  18   26   27 Stefanie Brezina  28 Stephan Buch  29 Daniel D Buchanan  30   31   32 Andrea Burnett-Hartman  33 Katja Butterbach  18 Bette J Caan  34 Peter T Campbell  35 Christopher S Carlson  1   36 Sergi Castellví-Bel  17 Andrew T Chan  37   38   39   40   41   42 Jenny Chang-Claude  43   44 Stephen J Chanock  12 Maria-Dolores Chirlaque  14   45 Sang Hee Cho  46 Charles M Connolly  1 Amanda J Cross  47   48 Katarina Cuk  18 Keith R Curtis  1 Albert de la Chapelle  49 Kimberly F Doheny  50 David Duggan  51 Douglas F Easton  52   53 Sjoerd G Elias  54 Faye Elliott  23 Dallas R English  55   56 Edith J M Feskens  57 Jane C Figueiredo  58   59 Rocky Fischer  60 Liesel M FitzGerald  56   61 David Forman  62 Manish Gala  37   39 Steven Gallinger  63 W James Gauderman  4 Graham G Giles  55   56 Elizabeth Gillanders  64 Jian Gong  1 Phyllis J Goodman  65 William M Grady  66 John S Grove  67 Andrea Gsur  28 Marc J Gunter  68 Robert W Haile  69 Jochen Hampe  29 Heather Hampel  70 Sophia Harlid  71 Richard B Hayes  72 Philipp Hofer  28 Michael Hoffmeister  18 John L Hopper  55   73 Wan-Ling Hsu  10 Wen-Yi Huang  12 Thomas J Hudson  74 David J Hunter  41   75 Gemma Ibañez-Sanz  13   76   77 Gregory E Idos  4 Roxann Ingersoll  50 Rebecca D Jackson  78 Eric J Jacobs  35 Mark A Jenkins  55 Amit D Joshi  39   41 Corinne E Joshu  79 Temitope O Keku  80 Timothy J Key  81 Hyeong Rok Kim  82 Emiko Kobayashi  1 Laurence N Kolonel  83 Charles Kooperberg  1 Tilman Kühn  43 Sébastien Küry  22 Sun-Seog Kweon  84   85 Susanna C Larsson  86 Cecelia A Laurie  10 Loic Le Marchand  67 Suzanne M Leal  87 Soo Chin Lee  88   89 Flavio Lejbkowicz  90   91   92 Mathieu Lemire  74 Christopher I Li  1 Li Li  93 Wolfgang Lieb  94 Yi Lin  1 Annika Lindblom  95   96 Noralane M Lindor  97 Hua Ling  50 Tin L Louie  10 Satu Männistö  98 Sanford D Markowitz  99 Vicente Martín  14   100 Giovanna Masala  101 Caroline E McNeil  102 Marilena Melas  4 Roger L Milne  55   56 Lorena Moreno  17 Neil Murphy  68 Robin Myte  71 Alessio Naccarati  103   104 Polly A Newcomb  1   36 Kenneth Offit  105   106 Shuji Ogino  40   41   107   108 N Charlotte Onland-Moret  54 Barbara Pardini  104   109 Patrick S Parfrey  110 Rachel Pearlman  70 Vittorio Perduca  111   112 Paul D P Pharoah  52 Mila Pinchev  91 Elizabeth A Platz  79 Ross L Prentice  1 Elizabeth Pugh  50 Leon Raskin  113 Gad Rennert  91   92   114 Hedy S Rennert  91   92   114 Elio Riboli  115 Miguel Rodríguez-Barranco  14   116 Jane Romm  50 Lori C Sakoda  1   117 Clemens Schafmayer  118 Robert E Schoen  119 Daniela Seminara  64 Mitul Shah  53 Tameka Shelford  50 Min-Ho Shin  84 Katerina Shulman  120 Sabina Sieri  121 Martha L Slattery  122 Melissa C Southey  123 Zsofia K Stadler  124 Christa Stegmaier  125 Yu-Ru Su  1 Catherine M Tangen  65 Stephen N Thibodeau  126 Duncan C Thomas  4 Sushma S Thomas  1 Amanda E Toland  127 Antonia Trichopoulou  19   20 Cornelia M Ulrich  24 David J Van Den Berg  4 Franzel J B van Duijnhoven  57 Bethany Van Guelpen  71 Henk van Kranen  128 Joseph Vijai  124 Kala Visvanathan  79 Pavel Vodicka  103   129   130 Ludmila Vodickova  103   129   130 Veronika Vymetalkova  103   129   130 Korbinian Weigl  18   27   131 Stephanie J Weinstein  12 Emily White  1 Aung Ko Win  32   55 C Roland Wolf  132 Alicja Wolk  86   133 Michael O Woods  134 Anna H Wu  4 Syed H Zaidi  74 Brent W Zanke  135 Qing Zhang  136 Wei Zheng  137 Peter C Scacheri  138 John D Potter  1 Michael C Bassik  11 Anshul Kundaje  7   11 Graham Casey  139 Victor Moreno  13   14   15   77 Goncalo R Abecasis  2 Deborah A Nickerson  9 Stephen B Gruber  4 Li Hsu  1   10 Ulrike Peters  140   141
Affiliations
Meta-Analysis

Discovery of common and rare genetic risk variants for colorectal cancer

Jeroen R Huyghe et al. Nat Genet. 2019 Jan.

Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.

PubMed Disclaimer

Conflict of interest statement

Competing Interests Statement

Goncalo R Abecasis has received compensation from 23andMe and Helix. He is currently an employee of Regeneron Pharmaceuticals. Heather Hampel performs collaborative research with Ambry Genetics, InVitae Genetics, and Myriad Genetic Laboratories, Inc., is on the scientific advisory board for InVitae Genetics and Genome Medical, and has stock in Genome Medical. Rachel Pearlman has participated in collaborative funded research with Myriad Genetics Laboratories and Invitae Genetics but has no financial competitive interest.

Figures

Figure 1
Figure 1. Conditionally independent association signals at the BMP2 locus.
Regional association plot showing the unconditional −log10(P-value) for the association with CRC risk in the combined meta-analysis of up to 125,478 individuals, as a function of genomic position (Build 37) for each variant in the region. The lead variants are indicated by a diamond symbol and its positions are indicated by dashed vertical lines. The color-labeling and shape of all other variants indicate the lead variant with which they are in strongest LD. The two new genome-wide significant signals are indicated by an asterisk.
Figure 2
Figure 2. Functional genomic annotation of new CRC risk locus overlapping KLF5 super-enhancer.
Top: Regional association plot showing the unconditional −log10(P-value) for the association with CRC risk in the combined meta-analysis of up to 125,478 individuals, as a function of genomic position (Build 37) for each variant in the region. The lead variants are indicated by a diamond symbol and its positions are indicated by dashed vertical lines. The color-labeling and shape of all other variants indicate the lead variant with which they are in strongest LD. Bottom: UCSC genome browser annotations for region overlapping the super-enhancer flanked by KLF5 and KLF12, and spanning variants in LD with rs78341008, and with two conditionally independent association signals indexed by rs45597035 and rs1924816. The region is annotated with the following tracks (from top to bottom): UCSC gene annotations; epigenomic profiles showing MACS2 peak calls as transparent overlays for different samples taken from non-diseased colonic crypt cells or colon tissue (purple) and from different primary CRC cell lines or tumor samples (teal); position of the lead variants and variants in LD with the lead; variants in the 99% credible set; the union of super-enhancers called using the ROSE package; gray bars highlight the targeted enhancers (e1,e3, and e4) previously shown by Zhang et al. to have combinatorial effects on KLF5 expression. ATAC-seq data newly generated for this study show high resolution annotation of putative binding regions within the active super-enhancer further fine-mapping putative causal variants at each of the three signals.
Figure 3
Figure 3. Recommended age to start CRC screening based on a polygenic risk score (PRS).
The PRS was constructed using the 95 known and newly discovered variants. The horizontal lines represent the recommended age for the first endoscopy for an average-risk person in the current screening guideline for CRC. The risk threshold to determine the age for the first screening was set as the average of 10-year CRC risks for a 50-year-old man (1.25%) and woman (0.68%), i.e. (1.25%+0.68%)/2 = 0.97%, who have not previously received an endoscopy. Details are given in the Online Methods.

References

    1. Ferlay J et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136, E359–86 (2015). - PubMed
    1. Lichtenstein P et al. Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343, 78–85 (2000). - PubMed
    1. Czene K, Lichtenstein P & Hemminki K Environmental and heritable causes of cancer among 9.6 million individuals in the Swedish Family-Cancer Database. Int J Cancer 99, 260–266 (2002). - PubMed
    1. Sud A, Kinnersley B & Houlston RS Genome-wide association studies of cancer: current insights and future perspectives. Nat Rev Cancer 17, 692–704 (2017). - PubMed
    1. Tomlinson I et al. A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21. Nat Genet 39, 984–988 (2007). - PubMed

METHODS-ONLY REFERENCES

    1. Li H & Durbin R Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754–1760 (2009). - PMC - PubMed
    1. Jun G, Wing MK, Abecasis GR & Kang HM An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence data. Genome Res 25, 918–925 (2015). - PMC - PubMed
    1. Browning BL & Yu Z Simultaneous genotype calling and haplotype phasing improves genotype accuracy and reduces false-positive associations for genome-wide association studies. Am J Hum Genet 85, 847–861 (2009). - PMC - PubMed
    1. Li H A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993 (2011). - PMC - PubMed
    1. 1000 Genomes Project Consortium et al. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010). - PMC - PubMed

Publication types

Substances

Grants and funding