Literature DB >> 12493905

Finding genes that underlie complex traits.

Anne M Glazier1, Joseph H Nadeau, Timothy J Aitman.   

Abstract

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.

Mesh:

Year:  2002        PMID: 12493905     DOI: 10.1126/science.1076641

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  261 in total

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9.  Using molecular sizes of simple sequence repeats vs. discrete binned data in assessing probability of ancestry: application to maize hybrids.

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Journal:  Diabetologia       Date:  2007-06-20       Impact factor: 10.122

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