High-depth, high-accuracy microsatellite genotyping enables precision lung cancer risk classification.

ABSTRACT: There remains a large discrepancy between the known genetic contributions to cancer and that which can be explained by genomic variants, both inherited and somatic. Recently, understudied repetitive DNA regions called microsatellites have been identified as genetic risk markers for a number of diseases including various cancers (breast, ovarian and brain). In this study, we demonstrate an integrated process for identifying and further evaluating microsatellite-based risk markers for lung cancer using data from the cancer genome atlas and the 1000 genomes project. Comparing whole-exome germline sequencing data from 488 TCGA lung cancer samples to germline exome data from 390 control samples from the 1000 genomes project, we identified 119 potentially informative microsatellite loci. These l

SUBMITTER: Velmurugan KR 

PROVIDER: S-EPMC5701090 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature