Status and prospects of genome‐wide association studies in plants
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 …
tool for the investigation of complex traits. In large part, this was fueled by advances in …
The advantages and limitations of trait analysis with GWAS: a review
Over the last 10 years, high-density SNP arrays and DNA re-sequencing have illuminated
the majority of the genotypic space for a number of organisms, including humans, maize …
the majority of the genotypic space for a number of organisms, including humans, maize …
GAPIT version 3: boosting power and accuracy for genomic association and prediction
Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the
two essential enterprises in genomic research. Due to the great magnitude and complexity …
two essential enterprises in genomic research. Due to the great magnitude and complexity …
rMVP: a memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study
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 …
and SNP number are increasing rapidly in genome-wide association studies (GWAS), and …
Efficient Bayesian mixed-model analysis increases association power in large cohorts
Linear mixed models are a powerful statistical tool for identifying genetic associations and
avoiding confounding. However, existing methods are computationally intractable in large …
avoiding confounding. However, existing methods are computationally intractable in large …
Iterative usage of fixed and random effect models for powerful and efficient genome-wide association studies
False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled
by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population …
by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population …
Ecological genomics of local adaptation
It is increasingly important to improve our understanding of the genetic basis of local
adaptation because of its relevance to climate change, crop and animal production, and …
adaptation because of its relevance to climate change, crop and animal production, and …
A resource-efficient tool for mixed model association analysis of large-scale data
The genome-wide association study (GWAS) has been widely used as an experimental
design to detect associations between genetic variants and a phenotype. Two major …
design to detect associations between genetic variants and a phenotype. Two major …
Advantages and pitfalls in the application of mixed-model association methods
Mixed linear models are emerging as a method of choice for conducting genetic association
studies in humans and other organisms. The advantages of the mixed-linear-model …
studies in humans and other organisms. The advantages of the mixed-linear-model …
Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice
K Yano, E Yamamoto, K Aya, H Takeuchi, P Lo, L Hu… - Nature …, 2016 - nature.com
A genome-wide association study (GWAS) can be a powerful tool for the identification of
genes associated with agronomic traits in crop species, but it is often hindered by population …
genes associated with agronomic traits in crop species, but it is often hindered by population …