Zhiwu Zhang
Washington State University
Best linear unbiased predictionGeneGenome-wide association studyTraitData miningAssociation mappingGenomeSingle-nucleotide polymorphismNested association mappingAlleleGenetic associationHip dysplasia (canine)PopulationLinkage disequilibriumComputer scienceGeneticsGenetic variationCandidate geneQuantitative trait locusBiologyGenetic architecture
Publications 115
#1Merrick Lf (WSU: Washington State University)H-Index: 1
#2A. B. Burke (WSU: Washington State University)H-Index: 4
Last. Arron H. Carter (WSU: Washington State University)H-Index: 19
view all 4 authors...
Abstract null Traits with an unknown genetic architecture make it difficult to create a useful bi-parental mapping population to characterize the genetic basis of the trait due to a combination of complex and pleiotropic effects. Seedling emergence of wheat (Triticum aestivum L.) from deep planting is a vital factor affecting stand establishment and grain yield, has a poorly understood genetic architecture, and is historically correlated with coleoptile length. The creation of bi-parental mappin...
#1Haixiao Dong (JLU: Jilin University)H-Index: 3
#2He Li (JLU: Jilin University)
Last. Zhiwu Zhang (WSU: Washington State University)H-Index: 37
view all 11 authors...
Flavonoids give plants their rich colors and play roles in a number of physiological processes. In this study, we identified a novel colorless maize mutant showing reduced pigmentation throughout the whole life cycle by EMS mutagenesis. E183K mutation in maize chalcone synthase C2 (ZmC2) was mapped using MutMap strategy as the causal for colorless, which was further validated by transformation in Arabidopsis. We evaluated transcriptomic and metabolic changes in maize first sheaths caused by the ...
#1Wei HuangH-Index: 1
#2Ping Zheng (NEAU: Northeast Agricultural University)H-Index: 1
Last. Zhiwu Zhang (WSU: Washington State University)H-Index: 37
view all 9 authors...
Accurately predicting phenotypes from genotypes holds great promise to improve health management in humans and animals, and breeding efficiency in animals and plants. Although many prediction methods have been developed, the optimal method differs across datasets due to multiple factors, including species, environments, populations, and traits of interest. Studies have demonstrated that the number of genes underlying a trait and its heritability are the two key factors that determine which metho...
1 CitationsSource
#1McGowan M (WSU: Washington State University)H-Index: 1
#2Zhiwu Zhang (WSU: Washington State University)H-Index: 37
Last. Stephen P. Ficklin (WSU: Washington State University)H-Index: 19
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BACKGROUND Gene expression is potentially an important heritable quantitative trait that mediates between genetic variation and higher-level complex phenotypes through time and condition-dependent regulatory interactions. Therefore, we sought to explore both the genomic and condition-specific characteristics of gene expression heritability within the context of chromosomal structure. RESULTS Heritability was estimated for biological gene expression using a diverse, 84-line, Oryza sativa (rice) p...
#1Ying Wu (WSU: Washington State University)H-Index: 12
#2Fan LinH-Index: 6
Last. Bao Liu (Ministry of Education)H-Index: 56
view all 17 authors...
6 CitationsSource
Fall dormancy (FD) is one of the most important traits of alfalfa (Medicago sativa) for cultivar selection to overcome winter stress. Although transcriptomics, proteomics analysis, and QTL mapping have revealed some important genes correlated with FD, the genetic architecture of this trait is still unclear. There are no applicable genes or markers for selection, which hinders progress in the genetic research and molecular breeding for the trait. We conducted whole-genome sequencing (WGS) on 220 ...
#1Kelly Swarts (Austrian Academy of Sciences)H-Index: 8
#2Eva Bauer (TUM: Technische Universität München)H-Index: 37
Last. Peter J. Bradbury (ARS: Agricultural Research Service)H-Index: 34
view all 14 authors...
Domesticates are an excellent model for understanding biological consequences of rapid climate change. Maize (Zea mays ssp. mays) was domesticated from a tropical grass yet is widespread across temperate regions today. We investigate the biological basis of temperate adaptation in diverse structured nested association mapping (NAM) populations from China, Europe (Dent and Flint) and the United States as well as in the Ames inbred diversity panel, using days to flowering as a proxy. Using cross-p...
#1Zhiwu ZhangH-Index: 37
Last. Ben J. HayesH-Index: 83
view all 10 authors...
#1Laura E. Tibbs Cortes (Iowa State University)H-Index: 2
#2Zhiwu Zhang (WSU: Washington State University)H-Index: 37
Last. Jianming Yu (Iowa State University)H-Index: 49
view all 3 authors...
Genome-wide association studies (GWAS) have developed into a powerful and ubiquitous tool for the investigation of complex traits. In large part, this was fueled by advances in genomic technology, enabling us to examine genome-wide genetic variants across diverse genetic materials. The development of the mixed model framework for GWAS dramatically reduced the number of false positives compared with naive methods. Building on this foundation, many methods have since been developed to increase com...
16 CitationsSource
#1Lilin Yin (HAU: Huazhong Agricultural University)H-Index: 6
#2Haohao Zhang (WUT: Wuhan University of Technology)H-Index: 4
Last. Xiaolei Liu (HAU: Huazhong Agricultural University)H-Index: 13
view all 11 authors...
Abstract Along with the development of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in Genome-Wide Association Studies (GWAS), and the associated computation is more challenging than ever. Here, we present a Memory-efficient, Visualization-enhanced, and Parallel-accelerated R package called “rMVP” to address the need for improved GWAS computation. rMVP can 1) effectively process large GWAS data, 2) rapidly evaluate population structure, 3) effic...
28 CitationsSource