2020
DOI: 10.1371/journal.pgen.1008241
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Disentangling group specific QTL allele effects from genetic background epistasis using admixed individuals in GWAS: An application to maize flowering

Abstract: When handling a structured population in association mapping, group-specific allele effects may be observed at quantitative trait loci (QTLs) for several reasons: (i) a different linkage disequilibrium (LD) between SNPs and QTLs across groups, (ii) group-specific genetic mutations in QTL regions, and/or (iii) epistatic interactions between QTLs and other loci that have differentiated allele frequencies between groups. We present here a new genomewide association (GWAS) approach to identify QTLs exhibiting such… Show more

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Cited by 28 publications
(65 citation statements)
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“…The most important reason is that it is time consuming and computationally exhaustive to estimate genome-wide interactions in large datasets. Further, unlike in bi-parental populations, ready-touse models are not available to estimate marker interaction effects along with main additive effects in GWAS panels (Rio et al, 2020). Additionally, the lack of sufficiently large experimental datasets has been a limiting factor to obtain reasonable statistical power when screening the genome for multi-locus epistasis.…”
Section: Discussionmentioning
confidence: 99%
“…The most important reason is that it is time consuming and computationally exhaustive to estimate genome-wide interactions in large datasets. Further, unlike in bi-parental populations, ready-touse models are not available to estimate marker interaction effects along with main additive effects in GWAS panels (Rio et al, 2020). Additionally, the lack of sufficiently large experimental datasets has been a limiting factor to obtain reasonable statistical power when screening the genome for multi-locus epistasis.…”
Section: Discussionmentioning
confidence: 99%
“…This switch is a complex regulatory process that is controlled by multiple genes (Bluemel et al., 2015). Although a few genes had been revealed by comparative genomics, mutant analysis and QTL cloning in maize (Bluemel et al., 2015; Castelletti et al., 2014; Dong et al., 2012; Liang et al., 2019; Rio et al., 2020; Salvi et al., 2007, 2011), more genes are still required to elucidate the regulatory mechanism of floral transition in this important cereal crop. Lfy1 is a typical late‐flowering mutant in maize, which provides a novel material for investigating the biological process.…”
Section: Discussionmentioning
confidence: 99%
“…In maize, floral transition depends on the growth termination of the leaf primordia and the growth initiation of the tassel primordium (Colasanti & Muszynski, 2009). A conceptual genetic regulatory network model together with some important regulator genes has been proposed based on research results from mutant analysis, QTL cloning and comparative genomics analysis between maize and Arabidopsis (Bluemel et al., 2015; Castelletti, Tuberosa, Pindo, & Salvi, 2014; Dong et al., 2012; Liang et al., 2019; Rio et al., 2020; Salvi et al., 2007, 2011). The previously identified maize regulatory genes included a zinc finger protein coding gene, ID1, which functions through the autonomous pathway to regulate flowering time (Kozaki, Hake, & Colasanti, 2004), and three CCT domain genes, ZmCCT9 , ZmCCT10 and ZmCOL3, which play important roles in the photoperiod and circadian clock pathway (Huang et al., 2018; Hung et al., 2012; Jin et al., 2018; Stephenson et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Despite limited statistical evidence of association at many of the known loci as a result of the size of our African American cohort, we noted a strong concordance in the direction of effects (73%, p ¼ 2.05 3 10 À12 for inflammatory bowel disease; 69%, p ¼ 1. 26 is, to a great extent, shared across divergent populations (Figure 3). Despite strong effect-size correlations, subtle differences in allele frequency or the magnitude of effects at the established disease loci may reveal differential genetic architectures underlying inflammatory bowel disease between the two populations.…”
Section: Rare-variant Associations In African Americansmentioning
confidence: 99%