Cited by 2,319Genetic Associations and EpidemiologyBRCA gene mutations in cancerGenetic Mapping and Diversity in Plants and Animals

Genome-wide association study identifies novel breast cancer susceptibility loci

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Easton, Douglas F., Pooley, Karen A., Dunning, Alison M., Pharoah, Paul D. P., Thompson, Deborah, Ballinger, Dennis G., Struewing, Jeffery P., Morrison, Jonathan +231 more·2007·Nature

Abstract

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2 > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10(-7)). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.

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  • Easton et al. found five new variants associated with familial breast cancer, but only 3.6% of familial breast cancer is accounted for by those alleles.

    “For example, Easton et al.79 found five new variants associated with familial breast cancer, but only 3.6% of familial breast cancer is accounted for by those alleles.”

    From Linkage disequilibrium--understanding the evolutionary past and mapping the medical future. (2008) · cites this paper as [79]

    The Abstract and Discussion identify five novel loci associated with breast cancer risk. The Discussion estimates that they explain 3.6% of the *excess familial risk* of breast cancer, assuming the loci interact multiplicatively—not 3.6% of familial breast cancer cases. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • LD differences drive differences in effect size estimates from GWAS across populations in proportion to LD between tagging and causal SNP pairs, even when causal effects are the same.

    “These LD differences in turn drive differences in effect size estimates (i.e. predictors) from GWAS across populations in proportion to LD between tagging and causal SNP pairs, even when causal effects are the same35,37–40 (Supplementary Note).”

    From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [37]

    The Pattern of risks section reports a smaller odds ratio for rs2981582 in Asian than European populations and says this is consistent with rs2981582 not being the functional variant. The FGFR2 section reports weaker LD in the Asian studies. The paper does not establish that effect-size differences are proportional to LD between tagging and causal SNPs, or that the causal effects are the same across populations; it says the causal variant remains unresolved. Page numbers are unavailable in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Linkage disequilibrium differentiates marginal effect size estimates for polygenic traits across populations, even when causal variants are the same.

    “2) linkage disequilibrium (LD) differentiates marginal effect size estimates for polygenic traits across populations, even when causal variants are the same;”

    From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [37]

    The Pattern of risks section (page unavailable) reports a smaller per-allele odds ratio for the FGFR2 marker rs2981582 in Asian than European populations and says this is consistent with the marker not being the functional variant. The FGFR2 and Discussion sections (pages unavailable) describe different LD patterns across populations. These passages support a locus-specific example, but do not establish the claim for polygenic traits generally or demonstrate that the causal variants are the same across populations. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Recent genome-wide association studies have detected SNPs significantly associated with breast cancer, colorectal cancer, type 2 diabetes, and heart disease, among other diseases.

    “This idea, combined with the development of efficient methods for surveying large numbers of SNPs, has led to the many recent genome-wide association (GWA) studies that have detected SNPs that are significantly associated with breast cancer79,80, colorectal cancer81,82, type 2 diabetes83–86 and heart disease87,88, among other diseases.”
  • Humans carry a huge pool of phenotypically-neutral background variation that adds noise to genetic analyses (for example, each person has ~100 loss-of-function variants, most of which are rare in a population).

    “Humans carry a huge pool of phenotypically-neutral background variation that adds noise to genetic analyses (for example, each person has ~100 loss-of-function variants, most of which are rare in a population), 152,153”

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Authors
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., Wareham, N., Ahmed, S., Healey, C. S., Bowman, R., collaborators, T. S., Luccarini, C., Conroy, D., Shah, M., Munday, H., Jordan, C., Perkins, B., West, J., Redman, K., Driver, K., Meyer, K. B., Haiman, C. A., Kolonel, L. K., Henderson, B. E., Le Marchand, L., Brennan, P., Sangrajrang, S., Gaborieau, V., Odefrey, F., Shen, C.-Y., Wu, P.-E., Wang, H.-C., Eccles, D., Evans, D. G., Peto, J., Fletcher, O., Johnson, N., Seal, S., Stratton, M. R., Rahman, N., Chenevix-Trench, G., Bojesen, S. E., Nordestgaard, B. G., Axelsson, C. K., Garcia-Closas, M., Brinton, L., Chanock, S., Lissowska, J., Peplonska, B., Nevanlinna, H., Fagerholm, R., Eerola, H., Kang, D., Yoo, K.-Y., Noh, D.-Y., Ahn, S.-H., Hunter, D. J., Hankinson, S. E., Cox, D. G., Hall, P., Wedren, S., Liu, J., Low, Y.-L., Bogdanova, N., Schürmann, P., Dörk, T., Tollenaar, R. A. E. M., Jacobi, C. E., Devilee, P., Klijn, J. G. M., Sigurdson, A. J., Doody, M. M., Alexander, B. H., Zhang, J., Cox, A., Brock, I. W., MacPherson, G., Reed, M. W. R., Couch, F. J., Goode, E. L., Olson, J. E., Meijers-Heijboer, H., van den Ouweland, A., Uitterlinden, A., Rivadeneira, F., Milne, R. L., Ribas, G., Gonzalez-Neira, A., Benitez, J., Hopper, J. L., McCredie, M., Southey, M., Giles, G. G., Schroen, C., Justenhoven, C., Brauch, H., Hamann, U., Ko, Y.-D., Spurdle, A. B., Beesley, J., Chen, X., kConFab, Aghmesheh, M., Amor, D., Andrews, L., Antill, Y., Armes, J., Armitage, S., Arnold, L., Balleine, R., Begley, G., Beilby, J., Bennett, I., Bennett, B., Berry, G., Blackburn, A., Brennan, M., Brown, M., Buckley, M., Burke, J., Butow, P., Byron, K., Callen, D., Campbell, I., Chenevix-Trench, G., Clarke, C., Colley, A., Cotton, D., Cui, J., Culling, B., Cummings, M., Dawson, S.-J., Dixon, J., Dobrovic, A., Dudding, T., Edkins, T., Eisenbruch, M., Farshid, G., Fawcett, S., Field, M., Firgaira, F., Fleming, J., Forbes, J., Friedlander, M., Gaff, C., Gardner, M., Gattas, M., George, P., Giles, G., Gill, G., Goldblatt, J., Greening, S., Grist, S., Haan, E., Harris, M., Hart, S., Hayward, N., Hopper, J., Humphrey, E., Jenkins, M., Jones, A., Kefford, R., Kirk, J., Kollias, J., Kovalenko, S., Lakhani, S., Leary, J., Lim, J., Lindeman, G., Lipton, L., Lobb, L., Maclurcan, M., Mann, G., Marsh, D., McCredie, M., McKay, M., Anne McLachlan, S., Meiser, B., Milne, R., Mitchell, G., Newman, B., O’Loughlin, I., Osborne, R., Peters, L., Phillips, K., Price, M., Reeve, J., Reeve, T., Richards, R., Rinehart, G., Robinson, B., Rudzki, B., Salisbury, E., Sambrook, J., Saunders, C., Scott, C., Scott, E., Scott, R., Seshadri, R., Shelling, A., Southey, M., Spurdle, A., Suthers, G., Taylor, D., Tennant, C., Thorne, H., Townshend, S., Tucker, K., Tyler, J., Venter, D., Visvader, J., Walpole, I., Ward, R., Waring, P., Warner, B., Warren, G., Watson, E., Williams, R., Wilson, J., Winship, I., Young, M. A., AOCS Management Group, Bowtell, D., Green, A., deFazio, A., Chenevix-Trench, G., Gertig, D., Webb, P., Mannermaa, A., Kosma, V.-M., Kataja, V., Hartikainen, J., Day, N. E., Cox, D. R., & Ponder, B. A. J.
Affiliations
  • University of Cambridge (GB)
  • Cancer Research UK (GB)
  • Perlegen (United States) (US)
  • National Cancer Institute (US)
  • University of Southern California (US)
  • National Cancer Institute of Thailand (TH)
  • Institute of Biomedical Sciences, Academia Sinica (TW)
  • Princess Anne Hospital (GB)
  • Institute of Cancer Research (GB)
  • University of Copenhagen (DK)
  • National Institutes of Health (US)
  • Nofer Institute of Occupational Medicine (PL)
  • Helsinki University Hospital (FI)
  • Seoul National University (KR)
  • Brigham and Women's Hospital (US)
  • Royal Children's Hospital (AU)
  • Karolinska Institutet (SE)
  • Genome Institute of Singapore (SG)
  • Medizinische Hochschule Hannover (DE)
  • Leiden University Medical Center (NL)
  • United States Department of Health and Human Services (US)
  • University of Minnesota (US)
  • University of Sheffield (GB)
  • Mayo Clinic (US)
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • Erasmus University Rotterdam (NL)
  • Spanish National Cancer Research Centre (ES)
  • The University of Melbourne (AU)
  • Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology (DE)
  • German Cancer Research Center (DE)
  • QIMR Berghofer Medical Research Institute (AU)
  • Prince of Wales Hospital (AU)
  • Royal Women's Hospital (AU)
  • Royal Brisbane and Women's Hospital (AU)
  • Westmead Hospital (AU)
  • Queen Elizabeth II Medical Centre (AU)
  • The University of Sydney (AU)
  • Australian National University (AU)
  • The University of Queensland (AU)
  • Royal Prince Alfred Hospital (AU)
  • The Royal Melbourne Hospital (AU)
  • Peter MacCallum Cancer Centre (AU)
  • Wellington Hospital (NZ)
  • Princess Margaret Hospital for Children (AU)
  • South Australia Pathology (AU)
  • Monash Medical Centre (AU)
  • Griffith University (AU)
  • Flinders Medical Centre (AU)
  • Cancer Council Victoria (AU)
  • Royal Adelaide Hospital (AU)
  • King Edward Memorial Hospital (AU)
  • Women's and Children's Hospital (AU)
  • Royal North Shore Hospital (AU)
  • Edith Cowan University (AU)
  • Queensland University of Technology (AU)
  • University of Otago (NZ)
  • Christchurch Hospital (NZ)
  • University of Auckland (NZ)
  • Royal Perth Hospital (AU)
  • Cabrini Hospital (AU)
  • St Vincent's Hospital Sydney (AU)
Corresponding author
Easton, Douglas F.
ORCID
Venue
Nature
Published
2007-06-28
Volume
447
Issue
7148
Pages
1087-1093
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1994664175
Cited by
2,319
References
43
Citations by year
2026: 9 · 2025: 20 · 2024: 31 · 2023: 52 · 2022: 24 · 2021: 58 · 2020: 60 · 2019: 73 · 2018: 75 · 2017: 86 · 2016: 102 · 2015: 109 · 2014: 134 · 2013: 171 · 2012: 173
FWCI
168.11
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • UWA Profiles and Research Repository (UWA) (submittedVersion)
  • Australasian Journal of Paramedicine (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • University Libraries (University of Maryland) (submittedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • Figshare (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • Griffith Research Online (submittedVersion)
  • ResearchSpace (University of Auckland) (submittedVersion)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
  • Digital Repository at the University of Maryland (University of Maryland College Park)
Funders
  • Wellcome Trust (999998)
  • ACT Government
  • Cancer Research UK (A3353)
  • Curtin University of Technology
  • Peter MacCallum Cancer Centre
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
breast cancer, genetic susceptibility, genetic susceptibility loci, single nucleotide polymorphisms, FGFR2, MAP3K1, LSP1, familial aggregation, risk classification, disease prevention
MeSH terms
Alleles, Asia, Southeastern, Australia, Breast Neoplasms, Europe, Female, Genotype, High Mobility Group Proteins, Humans, Microfilament Proteins, North America, Receptors, Progesterone, Trans-Activators, Genome, Human, Odds Ratio, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, MAP Kinase Kinase Kinase 1, Apoptosis Regulatory Proteins, Receptor, Fibroblast Growth Factor, Type 2

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