Although highly successful at identifying new trait associated loci and pathways, human genome-wide association studies (GWAS) have failed to capture a large proportion of the genetic variation in complex traits [ 21, 22].
Two times per year, the Institute expands the breadth of the test with different batteries, lasting as long as three hours, providing a greater set of data to identify new traits of success.
The design involves a) identifying new accessions with useful traits validated by phenotyping, b) using new accessions together with an elite line to produce a MAGIC population, c) breaking unfavorable linkages (adopted from Bandillo et al. 2013)., and d) producing breeding-ready resources.
Interestingly, although all mutant genes revealed in this work had already been identified previously using classical molecular genetics approaches, our work clearly indicates the potential of complex trait analysis for identifying new alleles of known components, and possibly also completely new components, in signaling pathways and other cellular functions.
Comparative proteome analysis has previously proven successful in identifying new candidate genes for controlling tuber quality traits [ 27- 29].
Much effort has recently been invested in identifying new associations between gene expression and complex disease traits such as in IBD.
This method will be assessed in future studies for identifying new QTLs or candidate genes linked to fruit quality traits.
Combining whole-genome resequencing and genome-wide association study (GWAS) would help identify markers for quantitative trait loci (QTL); however, recombination mapping is still needed for validating previously identified markers, identifying new markers, and map-based cloning approaches.
The challenge that rice improvement programs face is that consumers cannot elaborate on what is considered to be good quality, so it is difficult to identify new and relevant traits.
Here, we developed a novel mediation analysis approach to identify new expression quantitative trait loci (eQTL) driving CYP2D6 activity by combining genotype, gene expression, and enzyme activity data.
