Genome Research · 1998 · 830 citations · 11 references
Life SciencesGeneticsMolecular GeneticsGenomicsHuman GeneticsMedical GeneticsGene MappingGenome-wide Association StudiesGenomic VariationVariant AnalysisVariant DetectionGenetic PolymorphismsGenome-wide Association MappingLinkage Disequilibrium AnalysisLinkage Disequilibrium PatternsSingle-nucleotide Polymorphism Association AnalysisSingle-nucleotide PolymorphismsSnp Discovery
Genome‑wide association studies require hundreds of thousands of variants, yet a comprehensive set is lacking; most human variants are SNPs, especially coding or regulatory ones that are more likely functional, and mapped SNPs serve as genome‑wide markers due to linkage disequilibrium. The DNA Polymorphism Discovery Resource was created to facilitate the discovery of such variants. The resource identifies SNPs and coding SNPs by comparing random chromosome pairs.
perform association analysis on many affected and unaffected individuals, which would require hundreds of thousands of variants spread over the entire genome (Risch and Merikangas 1996). Such a large number of variants is currently not available. The DNA Polymorphism Discovery Resource is designed to promote their discovery. About 90% of sequence variants in humans are differences in single bases of DNA, called single nucleotide polymorphisms (SNPs). SNPs in the coding regions of genes (cSNPs) or in regulatory regions are more likely to cause functional differences than SNPs elsewhere. Although most SNPs do not affect gene function, a large number of mapped SNPs will be valuable as markers throughout the genome for finding SNPs that do affect gene function, as linkage disequilibrium over tens to hundreds of kilobases is expected to be found in many regions of the human genome. Both SNPs and cSNPs can be identified by using the DNA Polymorphism Discovery Resource. When two random chromosomes are
11
The Future of Genetic Studies of Complex Human Diseases
Neil Risch, Kathleen R. Merikangas · Science · 1996 · 5.4K citations
Identification of the Cystic Fibrosis Gene: Genetic Analysis
Bat-Sheva Kerem, Johanna M. Rommens, Janet A. Buchanan et al. · Science · 1989 · 4.1K citations
Identification of the Cystic Fibrosis Gene: Chromosome Walking and Jumping
Johanna M. Rommens, Michael C. Iannuzzi, Bat-Sheva Kerem et al. · Science · 1989 · 3.2K citations
Variations on a Theme: Cataloging Human DNA Sequence Variation
Francis S. Collins, Mark S. Guyer, Aravinda Chakravarti · Science · 1997 · 1.1K citations