Genetic analysis of Soil-Borne Cereal Mosaic Virus response in durum wheat: evidence for the role of the major quantitative trait locus QSbm.ubo-2BS and of minor quantitative trait loci

2011 ◽  
Vol 29 (4) ◽  
pp. 973-988 ◽  
Author(s):  
Marco Maccaferri ◽  
Rossella Francia ◽  
Claudio Ratti ◽  
Concepcion Rubies-Autonell ◽  
Chiara Colalongo ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Loci ◽  
Genetic Analysis ◽  
Durum Wheat ◽  
Mosaic Virus ◽  
Quantitative Trait ◽  
Major Quantitative Trait Locus ◽  
Trait Loci ◽  
Trait Locus

scholarly journals The Genetic Basis of Plasma Variation in Adiponectin, a Global Endophenotype for Obesity and the Metabolic Syndrome

2001 ◽  
Vol 86 (9) ◽  
pp. 4321-4325 ◽  
Author(s):  
Anthony G. Comuzzie ◽  
Tohru Funahashi ◽  
Gabriele Sonnenberg ◽  
Lisa J. Martin ◽  
Howard J. Jacob ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Loci ◽  
Genetic Analysis ◽  
Quantitative Trait ◽  
European Ancestry ◽  
Chromosome 5 ◽  
Lod Score ◽  
The Metabolic Syndrome ◽  
Trait Loci ◽  
Trait Locus

Here we present the first genetic analysis of adiponectin levels, a newly identified adipocyte-derived protein. Recent work has suggested that adiponectin may play a role in mediating the effects of body weight as a risk factor for coronary artery disease. For this analysis we assayed serum levels of adiponectin in 1100 adults of predominantly northern European ancestry distributed across 170 families. Quantitative genetic analysis of adiponectin levels detected an additive genetic heritability of 46%. The maximum LOD score detected in a genome wide scan for adiponectin levels was 4.06 (P = 7.7 × 10−6), 35 cM from pter on chromosome 5. The second largest LOD score (LOD = 3.2; P = 6.2 × 10−5) was detected on chromosome 14, 29 cM from pter. The detection of a significant linkage with a quantitative trait locus on chromosome 5 provides strong evidence for a replication of a previously reported quantitative trait locus for obesity-related phenotypes. In addition, several secondary signals offer potential evidence of replications for additional previously reported obesity-related quantitative trait loci on chromosomes 2 and 10. Not only do these results identify quantitative trait loci with significant effects on a newly described, and potentially very important, adipocyte-derived protein, they also reveal the emergence of a consistent pattern of linkage results for obesity-related traits across a number of human populations.

Further genetic analysis of a major quantitative trait locus controlling root length and related traits in common wheat

2014 ◽  
Vol 33 (4) ◽  
pp. 975-985 ◽  
Author(s):  
Pei Cao ◽  
Yongzhe Ren ◽  
Kunpu Zhang ◽  
Wan Teng ◽  
Xueqiang Zhao ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Genetic Analysis ◽  
Common Wheat ◽  
Quantitative Trait ◽  
Root Length ◽  
Major Quantitative Trait Locus ◽  
Trait Locus

scholarly journals Optimizing expression quantitative trait locus mapping workflows for single-cell studies

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Anna S. E. Cuomo ◽  
Giordano Alvari ◽  
Christina B. Azodi ◽  
Davis J. McCarthy ◽  
Marc Jan Bonder ◽  
...  
Keyword(s):  
Gene Expression ◽  
Quantitative Trait Locus ◽  
Single Cell ◽  
Quantitative Trait ◽  
Cell Types ◽  
Expression Quantitative Trait Locus ◽  
Eqtl Mapping ◽  
Trait Locus ◽  
The Impact

Abstract Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-scale scRNA-seq, and thus single-cell expression quantitative trait locus (sc-eQTL) mapping, is increasingly feasible. Mapping of sc-eQTL provides additional resolution to study the regulatory role of common genetic variants on gene expression across a plethora of cell types and states and promises to improve our understanding of genetic regulation across tissues in both health and disease. Results While previously established methods for bulk eQTL mapping can, in principle, be applied to sc-eQTL mapping, there are a number of open questions about how best to process scRNA-seq data and adapt bulk methods to optimize sc-eQTL mapping. Here, we evaluate the role of different normalization and aggregation strategies, covariate adjustment techniques, and multiple testing correction methods to establish best practice guidelines. We use both real and simulated datasets across single-cell technologies to systematically assess the impact of these different statistical approaches. Conclusion We provide recommendations for future single-cell eQTL studies that can yield up to twice as many eQTL discoveries as default approaches ported from bulk studies.

scholarly journals Quantitative Trait Loci for Grain Yield and Adaptation of Durum Wheat (Triticum durumDesf.) Across a Wide Range of Water Availability

Genetics ◽  
2008 ◽  
Vol 178 (1) ◽  
pp. 489-511 ◽  
Author(s):  
Marco Maccaferri ◽  
Maria Corinna Sanguineti ◽  
Simona Corneti ◽  
José Luis Araus Ortega ◽  
Moncef Ben Salem ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Durum Wheat ◽  
Water Availability ◽  
Quantitative Trait ◽  
Wide Range ◽  
Trait Loci

scholarly journals Genetic analysis identifies quantitative trait loci controlling rosette mineral concentrations in Arabidopsis thaliana under drought

2009 ◽  
Vol 184 (1) ◽  
pp. 180-192 ◽  
Author(s):  
Artak Ghandilyan ◽  
Luis Barboza ◽  
Sébastien Tisné ◽  
Christine Granier ◽  
Matthieu Reymond ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Quantitative Trait Loci ◽  
Genetic Analysis ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Mineral Concentrations

scholarly journals Genetic analysis of two new quantitative trait loci for ear weight in maize inbred line Huangzao4

2010 ◽  
Vol 9 (4) ◽  
pp. 2140-2147 ◽  
Author(s):  
X.-H. Liu ◽  
Z.-P. Zheng ◽  
Z.-B. Tan ◽  
Z. Li ◽  
C. He
Keyword(s):  
Quantitative Trait Loci ◽  
Genetic Analysis ◽  
Inbred Line ◽  
Quantitative Trait ◽  
Maize Inbred Line ◽  
Trait Loci
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