| Literature DB >> 18711218 |
Abstract
Recent years have seen great advances in generating and analyzing data to identify the genetic architecture of biological traits. Human disease has understandably received intense research focus, and the genes responsible for most Mendelian diseases have successfully been identified. However, the same advances have shown a consistent if less satisfying pattern, in which complex traits are affected by variation in large numbers of genes, most of which have individually minor or statistically elusive effects, leaving the bulk of genetic etiology unaccounted for. This pattern applies to diverse and unrelated traits, not just disease, in basically all species, and is consistent with evolutionary expectations, raising challenging questions about the best way to approach and understand biological complexity.Entities:
Mesh:
Year: 2008 PMID: 18711218 PMCID: PMC2516055 DOI: 10.1534/genetics.108.094128
Source DB: PubMed Journal: Genetics ISSN: 0016-6731 Impact factor: 4.562