American Association for Cancer Research
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Description of supplementary files from Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

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posted on 2023-03-31, 13:42 authored by Melissa S. DeRycke, Shanaka R. Gunawardena, Sumit Middha, Yan W. Asmann, Daniel J. Schaid, Shannon K. McDonnell, Shaun M. Riska, Bruce W. Eckloff, Julie M. Cunningham, Brooke L. Fridley, Daniel J. Serie, William R. Bamlet, Mine S. Cicek, Mark A. Jenkins, David J. Duggan, Daniel Buchanan, Mark Clendenning, Robert W. Haile, Michael O. Woods, Steven N. Gallinger, Graham Casey, John D. Potter, Polly A. Newcomb, Loïc Le Marchand, Noralane M. Lindor, Stephen N. Thibodeau, Ellen L. Goode

Description of supplementary files - PDF file 44K, File contains description of supplementary files.



Background: Colorectal cancer (CRC) in densely affected families without Lynch Syndrome may be due to mutations in undiscovered genetic loci. Familial linkage analyses have yielded disparate results; the use of exome sequencing in coding regions may identify novel segregating variants.Methods: We completed exome sequencing on 40 affected cases from 16 multicase pedigrees to identify novel loci. Variants shared among all sequenced cases within each family were identified and filtered to exclude common variants and single-nucleotide variants (SNV) predicted to be benign.Results: We identified 32 nonsense or splice-site SNVs, 375 missense SNVs, 1,394 synonymous or noncoding SNVs, and 50 indels in the 16 families. Of particular interest are two validated and replicated missense variants in CENPE and KIF23, which are both located within previously reported CRC linkage regions, on chromosomes 1 and 15, respectively.Conclusions: Whole-exome sequencing identified DNA variants in multiple genes. Additional sequencing of these genes in additional samples will further elucidate the role of variants in these regions in CRC susceptibility.Impact: Exome sequencing of familial CRC cases can identify novel rare variants that may influence disease risk. Cancer Epidemiol Biomarkers Prev; 22(7); 1239–51. ©2013 AACR.

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