title: Significance levels in genome scans.
abstract: Genome-wide linkage scans using affected sibpair families are being conducted on many complex diseases, such as type 1 and type 2 diabetes, multiple sclerosis, rheumatoid arthritis, schizophrenia, asthma, cardiovascular diseases, obesity, and alcoholism. Despite extensive efforts by many groups, progress has been exceedingly slow, and only a few genes and some genomic regions involved in complex diseases have been identified. The general picture is one of difficulty in locating disease genes and replication of reported linkages. This results from the fact that complex diseases and traits may result principally from genetic variation that is relatively common in the general population involving a large number of genes, environmental factors, and their interactions. Genome-wide association studies are now feasible through the use of PCR methodologies with pooled DNA samples and microsatellite variation, and more recently single-nucleotide polymorphism (SNP) variation. Issues relating to significance levels in genome-wide linkage and association scans are discussed, and suggestions for dealing with false positive (type I) errors proposed.
authors.affiliation: Department of Integrative Biology, University of California, Berkeley 94720, USA.
authors.forename: G
authors.initials: G
authors.lastname: Thomson
mesh_terms: D000483:Alleles; D002874:Chromosome Mapping / Q000379:methods*; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D008040:Genetic Linkage; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics*