Genetic Design and Statistical Power of Nested Association Mapping in Maize

@article{Yu2008GeneticDA,
  title={Genetic Design and Statistical Power of Nested Association Mapping in Maize},
  author={Jianming Yu and James Brendan Holland and Michael D. McMullen and Edward S. Buckler},
  journal={Genetics},
  year={2008},
  volume={178},
  pages={539 - 551}
}
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… Expand
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TLDR
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TLDR
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A Multi-Locus Association Model Framework for Nested Association Mapping With Discriminating QTL Effects in Various Subpopulations
TLDR
A multi-locus association model of multiple families in the NAM population, which could discriminate the effects of QTLs in all subpopulations and improves the statistical power in QTL detection and the accuracy inQTL effect estimation is developed. Expand
Extent and genome-wide distribution of linkage disequilibrium in commercial maize germplasm
TLDR
Examination of LD with simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in 1,537 commercial maize inbred lines belonging to four heterotic pools concluded that the SSR markers employed in the present study are not adequate for association analysis, because of insufficient marker density for the germplasm evaluated. Expand
Genetic mapping of quantitative trait loci in crops
TLDR
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