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PMID: 18202393 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Genetic design and statistical power of nested association mapping in maize.

Genetics ·Vol. 178 ·No. 1 ·2008-01-00 ·Pages 539-51

Yu J, Holland JB, McMullen MD, Buckler ES

Abstract

We investigated the genetic and statistical properties of the nested association mapping (NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct immortal genotypes) to dissect the genetic basis of complex quantitative traits. The NAM design simultaneously exploits the advantages of both linkage analysis and association mapping. We demonstrated the power of NAM for high-power cost-effective genome scans through computer simulations based on empirical marker data and simulated traits with different complexities. With common-parent-specific (CPS) markers genotyped for the founders and the progenies, the inheritance of chromosome segments nested within two adjacent CPS markers was inferred through linkage. Genotyping the founders with additional high-density markers enabled the projection of genetic information, capturing linkage disequilibrium information, from founders to progenies. With 5000 genotypes, 30-79% of the simulated quantitative trait loci (QTL) were precisely identified. By integrating genetic design, natural diversity, and genomics technologies, this new complex trait dissection strategy should greatly facilitate endeavors to link molecular variation with phenotypic variation for various complex traits.

MeSH Terms
Chromosome Mapping Genetic Markers Genome, Plant/genetics Genotype Inbreeding Models, Genetic Polymorphism, Genetic Quantitative Trait Loci/genetics Zea mays/genetics
Chemicals
Genetic Markers
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Yu Jianming
Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853-2703, USA.
Holland James B
McMullen Michael D
Buckler Edward S
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
DOI
10.1534/genetics.107.074245
Published
2008-01-00
Pages
539-51
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC2206100
Subset
IM
External Links
PubMed source DOI: 10.1534/genetics.107.074245 PMC Full Text View journal details
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