Affiliations 

  • 1 Molecular Research and Services Laboratory, Infovalley® Life Sciences Sdn. Bhd., Mines Resort City, Malaysia
Genet Test Mol Biomarkers, 2013 Jan;17(1):62-8.
PMID: 23113749 DOI: 10.1089/gtmb.2012.0223

Abstract

The identification of high-risk individuals can help to improve early cancer detection and patient survival. Risk assessment, however, can only be accomplished if the risk factors are known. To date, the genetic risk factors for ovarian cancer, other than mutations in the BRCA1/2 genes, have never been systematically explored in Malaysia. The present study aims to identify from a panel of cancer-associated single-nucleotide polymorphisms (SNPs), those associated with ovarian cancer risk in Malaysia.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.