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Exome sequencing in a breast cancer family without BRCA mutation

Overview of attention for article published in Radiation Oncology Journal, June 2015
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Title
Exome sequencing in a breast cancer family without BRCA mutation
Published in
Radiation Oncology Journal, June 2015
DOI 10.3857/roj.2015.33.2.149
Pubmed ID
Authors

Jae Myoung Noh, Jihun Kim, Dae Yeon Cho, Doo Ho Choi, Won Park, Seung Jae Huh

Abstract

We performed exome sequencing in a breast cancer family without BRCA mutations. A family that three sisters have a history of breast cancer was selected for analysis. There were no family members with breast cancer in the previous generation. Genetic testing for BRCA mutation was negative, even by the multiplex ligation-dependent probe amplification method. Two sisters with breast cancer were selected as affected members, while the mother of the sisters was a non-affected member. Whole exome sequencing was performed on the HiSeq 2000 platform with paired-end reads of 101 bp in the three members. We identified 19,436, 19,468, and 19,345 single-nucleotide polymorphisms (SNPs) in the coding regions. Among them, 8,759, 8,789, and 8,772 were non-synonymous SNPs, respectively. After filtering out 12,843 synonymous variations and 12,105 known variations with indels found in the dbSNP135 or 1000 Genomes Project database, we selected 73 variations in the samples from the affected sisters that did not occur in the sample from the unaffected mother. Using the Sorting Intolerant From Tolerant (SIFT), PolyPhen-2, and MutationTaster algorithms to predict amino acid substitutions, the XCR1, DLL1, TH, ACCS, SPPL3, CCNF, and SRL genes were risky among all three algorithms, while definite candidate genes could not be conclusively determined. Using exome sequencing, we found 7 variants for a breast cancer family without BRCA mutations. Genetic evidence of disease association should be confirmed by future studies.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Master 6 17%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 8 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Biochemistry, Genetics and Molecular Biology 8 23%
Medicine and Dentistry 5 14%
Psychology 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 9 26%