Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology
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Dissecting the genetic architecture of Fusarium verticillioides seed rot resistance in maize by combining QTL mapping and genome-wide association analysis.pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies.Genome-Wide Association Mapping Reveals the Genetic Control Underlying Branch Angle in Rapeseed (Brassica napus L.).The genetic architecture of water-soluble protein content and its genetic relationship to total protein content in soybeanIterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies.Prediction and association mapping of agronomic traits in maize using multiple omic data.EcoTILLING revealed SNPs in GhSus genes that are associated with fiber- and seed-related traits in upland cotton.Mapping small-effect and linked quantitative trait loci for complex traits in backcross or DH populations via a multi-locus GWAS methodology.Development of a multiple-hybrid population for genome-wide association studies: theoretical consideration and genetic mapping of flowering traits in maize.Methodological implementation of mixed linear models in multi-locus genome-wide association studies.Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice.Substantial contribution of genetic variation in the expression of transcription factors to phenotypic variation revealed by eRD-GWAS.An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding.Metabolome-wide association studies for agronomic traits of rice.On the impact of relatedness on SNP association analysis.Genome-wide association study reveals genetic loci and candidate genes for average daily gain in Duroc pigs.Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids.pKWmEB: integration of Kruskal-Wallis test with empirical Bayes under polygenic background control for multi-locus genome-wide association study.Genome-wide association study reveals candidate genes influencing lipids and diterpenes contents in Coffea arabica L.Multi-Locus Genome-Wide Association Study Reveals the Genetic Architecture of Stalk Lodging Resistance-Related Traits in Maize.Genetic Dissection of Maize Embryonic Callus Regenerative Capacity Using Multi-Locus Genome-Wide Association Studies.Identification of QTN and candidate genes for Salinity Tolerance at the Germination and Seedling Stages in Rice by Genome-Wide Association Analyses.GWAS Analysis and QTL Identification of Fiber Quality Traits and Yield Components in Upland Cotton Using Enriched High-Density SNP MarkersGenome-Wide Association Studies for Five Forage Quality-Related Traits in Sorghum ( L.)Single-Locus and Multi-Locus Genome-Wide Association Studies in the Genetic Dissection of Fiber Quality Traits in Upland Cotton ( L.)Multi-Locus Genome-Wide Association Studies of Fiber-Quality Related Traits in Chinese Early-Maturity Upland CottonDeciphering the Genetic Architecture of Cooked Rice TextureThe Application of Multi-Locus GWAS for the Detection of Salt-Tolerance Loci in RiceGenome-Wide Association Studies of Photosynthetic Traits Related to Phosphorus Efficiency in SoybeanGenome-Wide Association Studies for Dynamic Plant Height and Number of Nodes on the Main Stem in Summer Sowing SoybeansGenome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus ModelsAnalysis of QTLs on heading date based on single segment substitution lines in rice (Oryza Sativa L.)Genome-Wide Association Studies Reveal Genetic Variation and Candidate Genes of Drought Stress Related Traits in Cotton ( L.)Genome-Wide Association Studies of Free Amino Acid Levels by Six Multi-Locus Models in Bread WheatGenome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai)
P2860
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P2860
Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Improving power and accuracy o ...... mixed linear model methodology
@ast
Improving power and accuracy o ...... mixed linear model methodology
@en
type
label
Improving power and accuracy o ...... mixed linear model methodology
@ast
Improving power and accuracy o ...... mixed linear model methodology
@en
prefLabel
Improving power and accuracy o ...... mixed linear model methodology
@ast
Improving power and accuracy o ...... mixed linear model methodology
@en
P2093
P2860
P356
P1433
P1476
Improving power and accuracy o ...... mixed linear model methodology
@en
P2093
Jian-Ying Feng
Shi-Bo Wang
Shizhong Xu
Wen-Long Ren
Yang-Jun Wen
Yuan-Ming Zhang
P2860
P2888
P356
10.1038/SREP19444
P407
P577
2016-01-20T00:00:00Z