Publication Date:
2002-12-21
Description:
Phenotypic variation among organisms is central to evolutionary adaptations underlying natural and artificial selection, and also determines individual susceptibility to common diseases. These types of complex traits pose special challenges for genetic analysis because of gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power. Emerging genome resources and technologies are enabling systematic identification of genes underlying these complex traits. We propose standards for proof of gene discovery in complex traits and evaluate the nature of the genes identified to date. These proof-of-concept studies demonstrate the insights that can be expected from the accelerating pace of gene discovery in this field.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Glazier, Anne M -- Nadeau, Joseph H -- Aitman, Timothy J -- New York, N.Y. -- Science. 2002 Dec 20;298(5602):2345-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Physiological Genomics and Medicine Group, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College Faculty of Medicine, Ducane Road, London W12 0NN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12493905" target="_blank"〉PubMed〈/a〉
Keywords:
Alleles
;
Animals
;
Chromosome Mapping
;
Genetic Linkage
;
*Genetic Predisposition to Disease
;
Genetic Variation
;
Humans
;
*Multifactorial Inheritance
;
Mutation
;
Phenotype
;
Plants/genetics
;
*Quantitative Trait Loci
;
*Quantitative Trait, Heritable
;
Saccharomyces cerevisiae/genetics
;
Sequence Analysis, DNA
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
