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搜索结果: 1-15 共查到genome-wide association studies相关记录15条 . 查询时间(0.078 秒)
盐碱胁迫影响水稻的生长发育、存活率与最终产量。水稻耐盐碱是由多基因控制的复杂性状。研究水稻应对盐碱胁迫的关键基因及其调控网络,对于培育耐盐碱水稻品种具有重要科学意义和应用价值。2023年6月16日,国际著名期刊Nature Communications发表了万建民院士团队在水稻耐盐碱研究上的新进展。
Genome-Wide Association Studies (GWAS) refer to observational studies of a genome-wide set of genetic variants across many individuals to see if any genetic variants are associated with a certain trai...
Identification of loci affecting teat number by genome-wide association studies on three pig populations.
Undoubtedly livestock is one of the major contributors to the economy of any country. The economic value of livestock includes meat, dairy products, fiber, fertilizer etc. Understanding and identifyin...
A genome wide association study was conducted using estimated breeding value (EBV) for milk production traits from 1st to 4th lactation. Significant single nucleotide polymorphism (SNP) markers were s...
Background: Circulating trans fatty acids (TFAs), which cannot be synthesized by humans, are linked to adverse health outcomes. Although TFAs are obtained from diet, little is known about subsequent i...
Background: Circulating trans fatty acids (TFAs), which cannot be synthesized by humans, are linked to adverse health outcomes. Although TFAs are obtained from diet, little is known about subsequent i...
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs). However, existing...
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Publ...
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
Since 2005, genome-wide association studies (GWAS) have successfully identified thousands of genes responsible for common human diseases.
The standard paradigm for the analysis of genome-wide association studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal for detecting the si...
Because of the high cost of commercial genotyping chip technologies, many investigations have used a two-stage design for genome-wide association studies, using part of the sample for an initial disco...
For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statis...
Genome-wide association analysis has generated much discussion about how to preserve power 1 to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multi...

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