title: Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis.
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.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA.
authors.forename: Iuliana
authors.initials: I
authors.lastname: Ionita-Laza
authors.forename: Angela J
authors.initials: AJ
authors.lastname: Rogers
authors.forename: Christoph
authors.initials: C
authors.lastname: Lange
authors.forename: Benjamin A
authors.initials: BA
authors.lastname: Raby
authors.forename: Charles
authors.initials: C
authors.lastname: Lee
mesh_terms: D018628:Gene Dosage / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D015894:Genome, Human / Q000235:genetics*; D055106:Genome-Wide Association Study; D006801:Humans