Pieter Clauw, Thomas James Ellis, Hai-Jun Liu, Eriko Sasaki
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引用次数: 0
Abstract
Classic genome-wide association studies (GWAS) look for associations between individual SNPs and phenotypes of interest. With the rapid progress of high-throughput genotyping and phenotyping technologies, GWAS have become increasingly powerful for detecting genetic determinants and their molecular mechanisms underpinning natural phenotypic variation. However, GWAS frequently yield results with neither expected nor promising loci, nor any significant associations. This is often because associations between SNPs and a single phenotype are confounded, for example with the environment, other traits, or complex genetic structures. Such confounding can mask true genotype-phenotype associations, or inflate spurious associations. To address these problems, numerous methods have been developed that go beyond the standard model. Such advanced GWAS models are flexible and can offer improved statistical power for understanding the genetics underlying complex traits. Despite this advantage, these models have not been widely adopted and implemented compared to the standard GWAS approach, partly because this literature is diverse and often technical. In this review, our aim is to provide an overview of the application and the benefits of various advanced GWAS models for handling complex traits and genetic structures, targeting plant biologists who wish to carry out GWAS more effectively.
期刊介绍:
Plant & Cell Physiology (PCP) was established in 1959 and is the official journal of the Japanese Society of Plant Physiologists (JSPP). The title reflects the journal''s original interest and scope to encompass research not just at the whole-organism level but also at the cellular and subcellular levels.
Amongst the broad range of topics covered by this international journal, readers will find the very best original research on plant physiology, biochemistry, cell biology, molecular genetics, epigenetics, biotechnology, bioinformatics and –omics; as well as how plants respond to and interact with their environment (abiotic and biotic factors), and the biology of photosynthetic microorganisms.