Integration of genome‐wide association study and expression quantitative trait loci data identifies AIM2 as a risk gene of periodontitis

2020 ◽  
Vol 47 (5) ◽  
pp. 583-593 ◽  
Author(s):  
Wenjing Li ◽  
Qiwen Zheng ◽  
Huanxin Meng ◽  
Dafang Chen
Keyword(s):  
Quantitative Trait Loci ◽  
Association Study ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Expression Quantitative Trait Loci ◽  
Risk Gene ◽  
Genome Wide ◽  
Trait Loci

scholarly journals A Genome-Wide Association Study Identifies Protein Quantitative Trait Loci (pQTLs)

PLoS Genetics ◽  
2008 ◽  
Vol 4 (5) ◽  
pp. e1000072 ◽  
Author(s):  
David Melzer ◽  
John R. B. Perry ◽  
Dena Hernandez ◽  
Anna-Maria Corsi ◽  
Kara Stevens ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Association Study ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide ◽  
A Genome ◽  
Trait Loci

scholarly journals Genome-wide association study identifies quantitative trait loci regions involved in muscle acidic profile in Large White heavy pigs

animal ◽  
2020 ◽  
Vol 14 (7) ◽  
pp. 1342-1350 ◽  
Author(s):  
G. Catillo ◽  
M. Zappaterra ◽  
P. Zambonelli ◽  
L. Buttazzoni ◽  
R. Steri ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Association Study ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Large White ◽  
Genome Wide ◽  
Trait Loci

scholarly journals Identification of Quantitative Trait Loci for Mesocotyl Length of Rice Seedling in Different Sowing Depths using Genome-Wide Association Study

2020 ◽  
Author(s):  
Chuanhang Yang ◽  
Hao Wang ◽  
Xiaojuan Tang ◽  
Qing Guo ◽  
Youhui Li ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Association Study ◽  
Quantitative Trait ◽  
Genome Wide Association Study ◽  
Rice Seedling ◽  
Mapping Method ◽  
Genome Wide Association ◽  
Sand Culture ◽  
Genome Wide ◽  
Trait Loci

Abstract Background: The mesocotyl length of rice seedling is a complex trait associated with the ability of seedling emerging and controlled by quantitative trait loci (QTLs). Genome-wide association study (GWAS) is a high-through QTLs mapping method and widely used to identify QTLs in the field of plant genetics.Results: A series of rice accessions including 290 varieties from all over the world, which harbored widely genetic background, were finished whole genome re-sequencing and investigated the mesocotyl length of rice seedlings in three different sowing depths (0cm, 4cm and 6cm). The analysis of coefficient of variation (CV) showed that the rice mesocotyl length variability in the three different treatments with 0cm, 4cm and 6cm sand culture are 114.43%, 146.65% and 152.55%, respectively. The mesocotyl length of the three groups are positively correlated with each other, indicating that the variation trend is consistent despite the differences in experimental treatment conditions, which led to the different performances of the mesocotyl lengths of the same accession. After GWAS, we found There are 922 single nucleotide polymorphism (SNP) makers associated with rice seedling mesocotyl length across 20 QTL regions and covered 1246 genes.Conclusions: In this study, we found that there are 922 SNP makers associated with rice seedling mesocotyl length across 20 QTL regions and covered 1246 genes. And we detected 23 candidate genes which maybe have effect to the mesocotyl length of rice seedling at different sowing depths

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