Novel breast cancer susceptibility locus at 9q31.2: Results: of a genome-wide association study

Olivia Fletcher, Nichola Johnson, Nick Orr, Fay J. Hosking, Lorna J. Gibson, Kate Walker, Diana Zelenika, Ivo Gut, Simon Heath, Claire Palles, Ben Coupland, Peter Broderick, Minouk Schoemaker, Michael Jones, Jill Williamson, Sarah Chilcott-Burns, Katarzyna Tomczyk, Gemma Simpson, Kevin B. Jacobs, Stephen J. ChanockDavid J. Hunter, Ian P. Tomlinson, Anthony Swerdlow, Alan Ashworth, Gillian Ross, Isabel Dos Santos Silva, Mark Lathrop, Richard S. Houlston, Julian Peto

Research output: Contribution to journalArticle

Abstract

Background: Genome-wide association studies have identified several common genetic variants associated with breast cancer risk. It is likely, however, that a substantial proportion of such loci have not yet been discovered. Methods: We compared 296114 tagging single-nucleotide polymorphisms in 1694 breast cancer case subjects (92% with two primary cancers or at least two affected first-degree relatives) and 2365 control subjects, with validation in three independent series totaling 11 880 case subjects and 12487 control subjects. Odds ratios (ORs) and associated 95% confidence intervals (CIs) in each stage and all stages combined were calculated using unconditional logistic regression. Heterogeneity was evaluated with Cochran Q and I2 statistics. All statistical tests were two-sided. Results: We identified a novel risk locus for breast cancer at 9q31.2 (rs865686: OR = 0.89, 95% CI = 0.85 to 0.92, P = 1.75 × 10-10). This single-nucleotide polymorphism maps to a gene desert, the nearest genes being Kruppel-like factor 4 (KLF4, 636 kb centromeric), RAD23 homolog B (RAD23B, 794 kb centromeric), and actin-like 7A (ACTL7A, 736 kb telomeric). We also identified two variants (rs3734805 and rs9383938) mapping to 6q25.1 estrogen receptor 1 (ESR1), which were associated with breast cancer in subjects of northern European ancestry (rs3734805: OR = 1.19, 95% CI = 1.11 to 1.27, P = 1.35 × 10-7; rs9383938: OR = 1.18, 95% CI = 1.11 to 1.26, P = 1.41 × 10-7). A variant mapping to 10q26.13, approximately 300 kb telomeric to the established risk locus within the second intron of FGFR2, was also associated with breast cancer risk, although not at genome-wide statistical significance (rs10510102: OR = 1.12, 95% CI = 1.07 to 1.17, P = 1.58 × 10-6). Conclusions: These findings provide further evidence on the role of genetic variation in the etiology of breast cancer. Fine mapping will be needed to identify causal variants and to determine their functional effects. The Author 2011. Published by Oxford University Press.2011

Original languageEnglish (US)
Pages (from-to)425-435
Number of pages11
JournalJournal of the National Cancer Institute
Volume103
Issue number5
DOIs
StatePublished - Mar 2 2011
Externally publishedYes

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Genome-Wide Association Study
Breast Neoplasms
Odds Ratio
Confidence Intervals
Single Nucleotide Polymorphism
Estrogen Receptor alpha
Introns
Genes
Actins
Logistic Models
Genome
Neoplasms

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Fletcher, O., Johnson, N., Orr, N., Hosking, F. J., Gibson, L. J., Walker, K., ... Peto, J. (2011). Novel breast cancer susceptibility locus at 9q31.2: Results: of a genome-wide association study. Journal of the National Cancer Institute, 103(5), 425-435. https://doi.org/10.1093/jnci/djq563

Novel breast cancer susceptibility locus at 9q31.2 : Results: of a genome-wide association study. / Fletcher, Olivia; Johnson, Nichola; Orr, Nick; Hosking, Fay J.; Gibson, Lorna J.; Walker, Kate; Zelenika, Diana; Gut, Ivo; Heath, Simon; Palles, Claire; Coupland, Ben; Broderick, Peter; Schoemaker, Minouk; Jones, Michael; Williamson, Jill; Chilcott-Burns, Sarah; Tomczyk, Katarzyna; Simpson, Gemma; Jacobs, Kevin B.; Chanock, Stephen J.; Hunter, David J.; Tomlinson, Ian P.; Swerdlow, Anthony; Ashworth, Alan; Ross, Gillian; Dos Santos Silva, Isabel; Lathrop, Mark; Houlston, Richard S.; Peto, Julian.

In: Journal of the National Cancer Institute, Vol. 103, No. 5, 02.03.2011, p. 425-435.

Research output: Contribution to journalArticle

Fletcher, O, Johnson, N, Orr, N, Hosking, FJ, Gibson, LJ, Walker, K, Zelenika, D, Gut, I, Heath, S, Palles, C, Coupland, B, Broderick, P, Schoemaker, M, Jones, M, Williamson, J, Chilcott-Burns, S, Tomczyk, K, Simpson, G, Jacobs, KB, Chanock, SJ, Hunter, DJ, Tomlinson, IP, Swerdlow, A, Ashworth, A, Ross, G, Dos Santos Silva, I, Lathrop, M, Houlston, RS & Peto, J 2011, 'Novel breast cancer susceptibility locus at 9q31.2: Results: of a genome-wide association study', Journal of the National Cancer Institute, vol. 103, no. 5, pp. 425-435. https://doi.org/10.1093/jnci/djq563
Fletcher, Olivia ; Johnson, Nichola ; Orr, Nick ; Hosking, Fay J. ; Gibson, Lorna J. ; Walker, Kate ; Zelenika, Diana ; Gut, Ivo ; Heath, Simon ; Palles, Claire ; Coupland, Ben ; Broderick, Peter ; Schoemaker, Minouk ; Jones, Michael ; Williamson, Jill ; Chilcott-Burns, Sarah ; Tomczyk, Katarzyna ; Simpson, Gemma ; Jacobs, Kevin B. ; Chanock, Stephen J. ; Hunter, David J. ; Tomlinson, Ian P. ; Swerdlow, Anthony ; Ashworth, Alan ; Ross, Gillian ; Dos Santos Silva, Isabel ; Lathrop, Mark ; Houlston, Richard S. ; Peto, Julian. / Novel breast cancer susceptibility locus at 9q31.2 : Results: of a genome-wide association study. In: Journal of the National Cancer Institute. 2011 ; Vol. 103, No. 5. pp. 425-435.
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abstract = "Background: Genome-wide association studies have identified several common genetic variants associated with breast cancer risk. It is likely, however, that a substantial proportion of such loci have not yet been discovered. Methods: We compared 296114 tagging single-nucleotide polymorphisms in 1694 breast cancer case subjects (92{\%} with two primary cancers or at least two affected first-degree relatives) and 2365 control subjects, with validation in three independent series totaling 11 880 case subjects and 12487 control subjects. Odds ratios (ORs) and associated 95{\%} confidence intervals (CIs) in each stage and all stages combined were calculated using unconditional logistic regression. Heterogeneity was evaluated with Cochran Q and I2 statistics. All statistical tests were two-sided. Results: We identified a novel risk locus for breast cancer at 9q31.2 (rs865686: OR = 0.89, 95{\%} CI = 0.85 to 0.92, P = 1.75 × 10-10). This single-nucleotide polymorphism maps to a gene desert, the nearest genes being Kruppel-like factor 4 (KLF4, 636 kb centromeric), RAD23 homolog B (RAD23B, 794 kb centromeric), and actin-like 7A (ACTL7A, 736 kb telomeric). We also identified two variants (rs3734805 and rs9383938) mapping to 6q25.1 estrogen receptor 1 (ESR1), which were associated with breast cancer in subjects of northern European ancestry (rs3734805: OR = 1.19, 95{\%} CI = 1.11 to 1.27, P = 1.35 × 10-7; rs9383938: OR = 1.18, 95{\%} CI = 1.11 to 1.26, P = 1.41 × 10-7). A variant mapping to 10q26.13, approximately 300 kb telomeric to the established risk locus within the second intron of FGFR2, was also associated with breast cancer risk, although not at genome-wide statistical significance (rs10510102: OR = 1.12, 95{\%} CI = 1.07 to 1.17, P = 1.58 × 10-6). Conclusions: These findings provide further evidence on the role of genetic variation in the etiology of breast cancer. Fine mapping will be needed to identify causal variants and to determine their functional effects. The Author 2011. Published by Oxford University Press.2011",
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T1 - Novel breast cancer susceptibility locus at 9q31.2

T2 - Results: of a genome-wide association study

AU - Fletcher, Olivia

AU - Johnson, Nichola

AU - Orr, Nick

AU - Hosking, Fay J.

AU - Gibson, Lorna J.

AU - Walker, Kate

AU - Zelenika, Diana

AU - Gut, Ivo

AU - Heath, Simon

AU - Palles, Claire

AU - Coupland, Ben

AU - Broderick, Peter

AU - Schoemaker, Minouk

AU - Jones, Michael

AU - Williamson, Jill

AU - Chilcott-Burns, Sarah

AU - Tomczyk, Katarzyna

AU - Simpson, Gemma

AU - Jacobs, Kevin B.

AU - Chanock, Stephen J.

AU - Hunter, David J.

AU - Tomlinson, Ian P.

AU - Swerdlow, Anthony

AU - Ashworth, Alan

AU - Ross, Gillian

AU - Dos Santos Silva, Isabel

AU - Lathrop, Mark

AU - Houlston, Richard S.

AU - Peto, Julian

PY - 2011/3/2

Y1 - 2011/3/2

N2 - Background: Genome-wide association studies have identified several common genetic variants associated with breast cancer risk. It is likely, however, that a substantial proportion of such loci have not yet been discovered. Methods: We compared 296114 tagging single-nucleotide polymorphisms in 1694 breast cancer case subjects (92% with two primary cancers or at least two affected first-degree relatives) and 2365 control subjects, with validation in three independent series totaling 11 880 case subjects and 12487 control subjects. Odds ratios (ORs) and associated 95% confidence intervals (CIs) in each stage and all stages combined were calculated using unconditional logistic regression. Heterogeneity was evaluated with Cochran Q and I2 statistics. All statistical tests were two-sided. Results: We identified a novel risk locus for breast cancer at 9q31.2 (rs865686: OR = 0.89, 95% CI = 0.85 to 0.92, P = 1.75 × 10-10). This single-nucleotide polymorphism maps to a gene desert, the nearest genes being Kruppel-like factor 4 (KLF4, 636 kb centromeric), RAD23 homolog B (RAD23B, 794 kb centromeric), and actin-like 7A (ACTL7A, 736 kb telomeric). We also identified two variants (rs3734805 and rs9383938) mapping to 6q25.1 estrogen receptor 1 (ESR1), which were associated with breast cancer in subjects of northern European ancestry (rs3734805: OR = 1.19, 95% CI = 1.11 to 1.27, P = 1.35 × 10-7; rs9383938: OR = 1.18, 95% CI = 1.11 to 1.26, P = 1.41 × 10-7). A variant mapping to 10q26.13, approximately 300 kb telomeric to the established risk locus within the second intron of FGFR2, was also associated with breast cancer risk, although not at genome-wide statistical significance (rs10510102: OR = 1.12, 95% CI = 1.07 to 1.17, P = 1.58 × 10-6). Conclusions: These findings provide further evidence on the role of genetic variation in the etiology of breast cancer. Fine mapping will be needed to identify causal variants and to determine their functional effects. The Author 2011. Published by Oxford University Press.2011

AB - Background: Genome-wide association studies have identified several common genetic variants associated with breast cancer risk. It is likely, however, that a substantial proportion of such loci have not yet been discovered. Methods: We compared 296114 tagging single-nucleotide polymorphisms in 1694 breast cancer case subjects (92% with two primary cancers or at least two affected first-degree relatives) and 2365 control subjects, with validation in three independent series totaling 11 880 case subjects and 12487 control subjects. Odds ratios (ORs) and associated 95% confidence intervals (CIs) in each stage and all stages combined were calculated using unconditional logistic regression. Heterogeneity was evaluated with Cochran Q and I2 statistics. All statistical tests were two-sided. Results: We identified a novel risk locus for breast cancer at 9q31.2 (rs865686: OR = 0.89, 95% CI = 0.85 to 0.92, P = 1.75 × 10-10). This single-nucleotide polymorphism maps to a gene desert, the nearest genes being Kruppel-like factor 4 (KLF4, 636 kb centromeric), RAD23 homolog B (RAD23B, 794 kb centromeric), and actin-like 7A (ACTL7A, 736 kb telomeric). We also identified two variants (rs3734805 and rs9383938) mapping to 6q25.1 estrogen receptor 1 (ESR1), which were associated with breast cancer in subjects of northern European ancestry (rs3734805: OR = 1.19, 95% CI = 1.11 to 1.27, P = 1.35 × 10-7; rs9383938: OR = 1.18, 95% CI = 1.11 to 1.26, P = 1.41 × 10-7). A variant mapping to 10q26.13, approximately 300 kb telomeric to the established risk locus within the second intron of FGFR2, was also associated with breast cancer risk, although not at genome-wide statistical significance (rs10510102: OR = 1.12, 95% CI = 1.07 to 1.17, P = 1.58 × 10-6). Conclusions: These findings provide further evidence on the role of genetic variation in the etiology of breast cancer. Fine mapping will be needed to identify causal variants and to determine their functional effects. The Author 2011. Published by Oxford University Press.2011

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