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Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism

Genome-wide association analyses provide genetic and biochemical insights into natural variation... Jie Luo, Xingming Lian and colleagues report results of a large genome-wide association study of metabolic variation in rice. They identify hundreds of common variants influencing metabolite levels and illustrate how this approach can complement classical trait mapping and provide insights into pathways of physiological and nutritional importance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nature Genetics Springer Journals

Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism

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References (82)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
Subject
Biomedicine; Biomedicine, general; Human Genetics; Cancer Research; Agriculture; Gene Function; Animal Genetics and Genomics
ISSN
1061-4036
eISSN
1546-1718
DOI
10.1038/ng.3007
Publisher site
See Article on Publisher Site

Abstract

Jie Luo, Xingming Lian and colleagues report results of a large genome-wide association study of metabolic variation in rice. They identify hundreds of common variants influencing metabolite levels and illustrate how this approach can complement classical trait mapping and provide insights into pathways of physiological and nutritional importance.

Journal

Nature GeneticsSpringer Journals

Published: Jun 8, 2014

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