A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits

2009 ◽  
Vol 41 (5) ◽  
pp. 527-534 ◽  
Author(s):  
Yoon Shin Cho ◽  
Min Jin Go ◽  
Young Jin Kim ◽  
Jee Yeon Heo ◽  
Ji Hee Oh ◽  
...  
Keyword(s):  
Association Study ◽  
Quantitative Traits ◽  
Large Scale ◽  
Genetic Factors ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Asian Populations ◽  
Factors Influencing ◽  
Genome Wide

scholarly journals Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0167742 ◽  
Author(s):  
Paul S. de Vries ◽  
Maria Sabater-Lleal ◽  
Daniel I. Chasman ◽  
Stella Trompet ◽  
Tarunveer S. Ahluwalia ◽  
...  
Keyword(s):  
Association Study ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
1000 Genomes ◽  
Genome Wide

scholarly journals Identification of genetic factors controlling phosphorus utilization efficiency in wheat by genome-wide association study with principal component analysis

2020 ◽  
Author(s):  
Luqman Bin Safdar ◽  
Muhammad Jawad Umer ◽  
Fakhrah Almas ◽  
Siraj Uddin ◽  
Qurra-tul-Ain Safdar ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genetic Factors ◽  
Genome Wide Association Study ◽  
Principal Component ◽  
Utilization Efficiency ◽  
Genome Wide Association ◽  
Genome Wide ◽  
P Utilization ◽  
P Utilization Efficiency

ABSTRACTDespite the economic importance of P utilization efficiency, information on genetic factors underlying this trait remains elusive. To address that, we performed a genome-wide association study in a spring wheat diversity panel ranging from landraces to elite varieties. We evaluated the phenotype variation for P utilization efficiency in controlled conditions and genotype variation using wheat 90K SNP array. Phenotype variables were transformed into a smaller set of uncorrelated principal components that captured the most important variation data. We identified two significant loci associated with both P utilization efficiency and the 1st principal component on chromosomes 3A and 4A: qPE1-3A and qPE2-4A. Annotation of genes at these loci revealed 53 wheat genes, among which 6 were identified in significantly enriched pathways. The expression pattern of these 6 genes indicated that TraesCS4A02G481800, involved in pyruvate metabolism and TCA cycle, had a significantly higher expression in the P efficient variety under limited P conditions. Further characterization of these loci and candidate genes can help stimulate P utilization efficiency in wheat.KEY MESSAGEWe report two new loci for P utilization efficiency on chromosomes 3A and 4A of wheat. The prioritized candidate genes at these loci can be investigated by molecular biology techniques to improve P efficiency in wheat and grass relatives.

scholarly journals Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases

2020 ◽  
Vol 52 (7) ◽  
pp. 669-679 ◽  
Author(s):  
Kazuyoshi Ishigaki ◽  
Masato Akiyama ◽  
Masahiro Kanai ◽  
Atsushi Takahashi ◽  
Eiryo Kawakami ◽  
...  
Keyword(s):  
Association Study ◽  
Japanese Population ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Susceptibility Loci ◽  
Genome Wide
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