| Literature DB >> 18822366 |
Iuliana Ionita-Laza1, Angela J Rogers, Christoph Lange, Benjamin A Raby, Charles Lee.
Abstract
Structural genetic variation, including copy-number variation (CNV), constitutes a substantial fraction of total genetic variability and the importance of structural genetic variants in modulating human disease is increasingly being recognized. Early successes in identifying disease-associated CNVs via a candidate gene approach mandate that future disease association studies need to include structural genetic variation. Such analyses should not rely on previously developed methodologies that were designed to evaluate single nucleotide polymorphisms (SNPs). Instead, development of novel technical, statistical, and epidemiologic methods will be necessary to optimally capture this newly-appreciated form of genetic variation in a meaningful manner.Entities:
Mesh:
Year: 2008 PMID: 18822366 PMCID: PMC2631358 DOI: 10.1016/j.ygeno.2008.08.012
Source DB: PubMed Journal: Genomics ISSN: 0888-7543 Impact factor: 5.736