Genetic Design and Statistical Power of Nested Association Mapping in Maize

• DOI: 10.1534/genetics.107.074245
• Publication Date: 2008-01-17T22:53:09Z
• Authors: Jianming Yu; James B Holland; Michael D McMullen; Edward S Buckler
• Keywords: Association mapping; Linkage Disequilibrium; Family-based QTL mapping; Linkage (software); Genetic Association; Inheritance; Trait; Genome-wide Association Study

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