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DOI 10.1089/gtmb.2017.0187

Медицинская библиотека · Genetic testing and molecular biomarkers · 2018

No Evidence for the Pathogenicity of the BRCA2 c.6937 + 594T>G Deep Intronic Variant: A Case-Control Analysis.

Dutil Julie, Godoy Lenin, Rivera-Lugo Rafael, Arroyo Nelly, Albino Elinette, Negrón Luis, Monteiro Alvaro N, Matta Jaime L, Echenique Miguel

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Аннотация

BACKGROUND

The role of deep intronic variants in hereditary cancer susceptibility has been largely understudied. Previously, the BRCA2 c.6937 + 594T>G variant has been shown to preferentially promote the inclusion of a 95 nucleotide cryptic exon and to introduce a premature termination codon. Our objective was to further assess the pathogenicity of the BRCA2 c.6937 + 594T>G deep intronic variant.

PATIENTS AND

METHODS

We examined the association between BRCA2 c.6937 + 594T>G and breast cancer (BC) risk in 464 BC cases and 497 noncancer controls from Puerto Rico.

RESULTS

The overall frequency of the G allele was 2.1% in this population. There was no association between the TG/GG genotypes and BC risk in the uncorrected model and after correcting for confounders. There was only one carrier of the GG genotype. This individual did not have personal or family history of cancer and did not meet the National Comprehensive Cancer Network criteria for hereditary cancer genetic testing.

CONCLUSIONS

Although previous work has demonstrated that the BRCA2 c.6937 + 594T>G variant affects splicing, this association study does not support a pathogenic role for the BRCA2 c.6937 + 594T>G intronic variant in breast and ovarian cancer syndrome susceptibility. Furthermore, it emphasizes the need to take into account multiple diverse populations in association studies for the assessment of variant pathogenicity.

Для цитирования: Dutil Julie, Godoy Lenin, Rivera-Lugo Rafael, Arroyo Nelly, Albino Elinette, Negrón Luis, Monteiro Alvaro N, Matta Jaime L, Echenique Miguel. No Evidence for the Pathogenicity of the BRCA2 c.6937 + 594T>G Deep Intronic Variant: A Case-Control Analysis.. Genetic testing and molecular biomarkers. 2018. DOI: 10.1089/gtmb.2017.0187.

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