Interaction between genetic ancestry and common breast cancer susceptibility variants in Colombian women.


Journal

International journal of cancer
ISSN: 1097-0215
Titre abrégé: Int J Cancer
Pays: United States
ID NLM: 0042124

Informations de publication

Date de publication:
01 05 2019
Historique:
received: 24 05 2018
accepted: 05 11 2018
pubmed: 30 11 2018
medline: 9 8 2019
entrez: 29 11 2018
Statut: ppublish

Résumé

Latino women show lower incidences of breast cancer (BC) than non-Hispanic whites. Large-scale genetic association studies have identified variants robustly associated with BC risk in European women. We examine here the relevance of these variants to Colombian BC and possible interactions with genetic ancestry. Native American, European and African proportions were estimated for 1022 Colombian BC cases and 1023 controls. Logistic regression was applied to assess the association between 78 variants and BC risk and interactions between the variants and ancestry proportions. We constructed a multifactorial risk score combining established BC risk factors, associated risk variants and individual ancestry proportions. Each 1% increase in the Native American proportion translated into a 2.2% lower BC risk (95% CI: 1.4-2.9). Thirteen variants were associated with BC in Colombian women, with allele frequencies and risk effects partially different from European women. Ancestry proportions moderated the risk effects of two variants. The ability of Native American proportions to separate Colombian cases and controls (area-under-the-curve (AUC) = 0.61) was similar to the discriminative ability of family history of BC in first-degree female relatives (AUC = 0.58) or the combined effect of all 13 associated risk variants (AUC = 0.57). Our findings demonstrate ample potential for individualized BC prevention in Hispanic women taking advantage of individual Native American proportions, information on established susceptibility factors and recently identified common risk variants.

Identifiants

pubmed: 30485434
doi: 10.1002/ijc.32023
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

2181-2191

Informations de copyright

© 2018 UICC.

Auteurs

Diana Torres (D)

Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia.

Justo Lorenzo Bermejo (J)

Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Karen Garcia Mesa (K)

Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Michael Gilbert (M)

Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Ignacio Briceño (I)

Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia.
Universidad de la Sabana, Bogota, Colombia.

Svenja Pohl-Zeidler (S)

Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Rosa González Silos (R)

Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Felix Boekstegers (F)

Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Christoph Plass (C)

Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Ute Hamann (U)

Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.

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Classifications MeSH