Study of the relationship between pre-harvest sprouting and grain color by quantitative trait loci analysis in a white×red grain bread-wheat cross

2002 ◽  
Vol 104 (1) ◽  
pp. 39-47 ◽  
Author(s):  
C. Groos ◽  
G. Gay ◽  
M.-R. Perretant ◽  
L. Gervais ◽  
M. Bernard ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Grain Color ◽  
Trait Loci ◽  
The Relationship ◽  
Wheat Cross

Impact of the D genome and quantitative trait loci on quantitative traits in a spring durum by spring bread wheat cross

2015 ◽  
Vol 128 (9) ◽  
pp. 1799-1811 ◽  
Author(s):  
J. R. Kalous ◽  
J. M. Martin ◽  
J. D. Sherman ◽  
H.-Y. Heo ◽  
N. K. Blake ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
Spring Bread Wheat ◽  
D Genome ◽  
Trait Loci ◽  
Wheat Cross

Quantitative trait loci mapping of adult-plant resistance to leaf rust in a Fundulea 900 × ‘Thatcher’ wheat cross

2016 ◽  
Vol 136 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Peipei Zhang ◽  
Aiyong Qi ◽  
Yue Zhou ◽  
Xianchun Xia ◽  
Zhonghu He ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Leaf Rust ◽  
Plant Resistance ◽  
Quantitative Trait ◽  
Adult Plant Resistance ◽  
Adult Plant ◽  
Quantitative Trait Loci Mapping ◽  
Trait Loci ◽  
Wheat Cross

scholarly journals Whole-Genome Mapping of Agronomic and Metabolic Traits to Identify Novel Quantitative Trait Loci in Bread Wheat Grown in a Water-Limited Environment

2013 ◽  
Vol 162 (3) ◽  
pp. 1266-1281 ◽  
Author(s):  
C. B. Hill ◽  
J. D. Taylor ◽  
J. Edwards ◽  
D. Mather ◽  
A. Bacic ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Whole Genome ◽  
Metabolic Traits ◽  
Trait Loci ◽  
Whole Genome Mapping

Mapping of quantitative trait loci (QTL) associated with activity of disulfide reductase and lipoxygenase in grain of bread wheat Triticum aestivum L.

2008 ◽  
Vol 44 (5) ◽  
pp. 567-574 ◽  
Author(s):  
T. A. Pshenichnikova ◽  
S. V. Osipova ◽  
M. D. Permyakova ◽  
T. N. Mitrofanova ◽  
V. A. Trufanov ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Triticum Aestivum L ◽  
Disulfide Reductase ◽  
Trait Loci

scholarly journals Leveraging IgG N-glycosylation quantitative-trait loci to characterize the relationship between Type 2 Diabetes and hypertension: A network with bidirectional mendelian randomization study

2020 ◽  
Author(s):  
Di Liu ◽  
Jie Zhang ◽  
Xiaoyu Zhang ◽  
Qiuyue Tian ◽  
Xiaoni Meng ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Mendelian Randomization ◽  
Hypertension Risk ◽  
Bidirectional Regulation ◽  
A Genome ◽  
Trait Loci ◽  
The Relationship

Abstract Background: The relationship between IgG N-glycosylation, type 2 diabetes (T2D) and hypertension is not well understood.Methods: A genome-wide association study (GWAS) of IgG N-glycosylation traits from 536 individuals was performed and 1203 IgG N-glycan quantitative trait loci (IgG N-glycan-QTL) variants targeting 24 IgG N-glycosylation were mapped traits after multi-testing correction. Network with bidirectional mendelian randomization (MR) analysis was performed to examine the causal association between IgG N-glycosylation, T2D and hypertension.Results: By linking IgG N-glycan-QTL variants with GWAS results for T2D and hypertension, 19 putatively causal IgG N-glycans for T2D and 21 putatively causal IgG N-glycans for hypertension were identified. IgG N-glycan-QTL determined IgG N-glycosylation to higher T2D was associated with higher hypertension risk (β [95% CI] =1.234 [0.939-1.529], P <0.001). In addition, IgG N-glycan-QTL determined IgG N-glycosylation to higher hypertension was associated with higher T2D risk (β [95% CI] =0.753 [0.140-1.3669], P =0.016). No evidence of pleiotropic bias was detected in MR-Egger analysis.Conclusions: Overall, our study showed that IgG N-Glycosylation-QTLs determined T2D is associated with higher hypertension risk, and vice versa, performing bidirectional regulation through IgG N-Glycosylation.

Leveraging DNA methylation quantitative-trait loci to characterize the relationship between metabolic traits and Alzheimer’s disease

2020 ◽  
Author(s):  
Di Liu ◽  
Zhiyuan Yu ◽  
Weijie Cao ◽  
Youxin Wang ◽  
Qun Meng
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Methylation ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Sensitivity Analyses ◽  
Metabolic Traits ◽  
Trait Loci ◽  
The Relationship ◽  
Methylation Quantitative Trait Loci

Abstract Background: The relationship between DNA methylation, common metabolic risk and Alzheimer’s disease (AD) is not well understood.Methods: Summary statistics integrating DNA methylation quantitative trait loci (mQTLs) and several genome-wide association study data were used. Network with bidirectional mendelian randomization (MR) analysis was performed to examine the causal association among metabolic traits, DNA methylation and AD.Results: Our study showed that cis-mQTLs determined DNA methylation to higher total cholesterol (TC) was associated with higher AD risk (β [95% CI] =0.007 [0.002-0.013], P=0.005). The findings were robust in sensitivity analyses with different instrumental variables. We found no evidence to support causal associations of cis-mQTLs determined obesity and T2D with AD, and vice versa.Conclusion: Overall, our study showed that the cis-mQTLs determined DNA methylation to higher TC was associated with higher AD risk, whereas the relation of cis-mQTLs determined AD and metabolic dysregulation was unlikely to be causal.

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