Analysis of morphine responses in mice reveals a QTL on Chromosome 7

In this study we identified a quantitative trait locus (QTL) on mouse Chromosome 7 associated with locomotor activity and rearing post morphine treatment. This QTL was revealed after correcting for the effects of another QTL peak on Chromosome 10 using composite interval mapping. The positional candidate genes are Syt9 and Ppfibp2. Several other genes within the interval are linked to neural processes, locomotor activity, and the defensive response to harmful stimuli.

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Objective prioritization of positional candidate genes at a quantitative trait locus for pre-eclampsia on 2q22

MHR Basic science of reproductive medicine ◽

10.1093/molehr/gal056 ◽

2006 ◽

Vol 12 (8) ◽

pp. 505-512 ◽

Cited By ~ 48

Author(s):

E.K. Moses

Keyword(s):

Quantitative Trait Locus ◽

Candidate Genes ◽

Quantitative Trait ◽

Positional Candidate ◽

Trait Locus

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Identification of a new quantitative trait locus on Chromosome 7 controlling disease severity of collagen-induced arthritis in rats

Immunogenetics ◽

10.1007/s002510050552 ◽

1999 ◽

Vol 49 (9) ◽

pp. 787-791 ◽

Cited By ~ 25

Author(s):

Svetlana V. Dracheva ◽

Elaine F. Remmers ◽

Pércio S. Gulko ◽

Yutaka Kawahito ◽

Ryan E. Longman ◽

...

Keyword(s):

Quantitative Trait Locus ◽

Disease Severity ◽

Quantitative Trait ◽

Chromosome 7 ◽

Collagen Induced Arthritis ◽

Trait Locus

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Tsc2, a positional candidate gene underlying a quantitative trait locus for hepatic steatosis

The Journal of Lipid Research ◽

10.1194/jlr.m025239 ◽

2012 ◽

Vol 53 (8) ◽

pp. 1493-1501 ◽

Cited By ~ 8

Author(s):

Chen-Yu Wang ◽

Donald S. Stapleton ◽

Kathryn L. Schueler ◽

Mary E. Rabaglia ◽

Angie T. Oler ◽

...

Keyword(s):

Quantitative Trait Locus ◽

Candidate Gene ◽

Hepatic Steatosis ◽

Quantitative Trait ◽

Positional Candidate Gene ◽

Positional Candidate ◽

Trait Locus

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Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations

Journal of Heredity ◽

10.1093/jhered/esz050 ◽

2019 ◽

Vol 110 (7) ◽

pp. 880-891 ◽

Cited By ~ 3

Author(s):

Jinhui Shi ◽

Jiankang Wang ◽

Luyan Zhang

Keyword(s):

Quantitative Trait Locus ◽

Genetic Variation ◽

Linear Model ◽

Quantitative Trait ◽

Genetic Model ◽

Pure Line ◽

Interval Mapping ◽

Unbiased Estimation ◽

Trait Locus ◽

Marker Variables

Abstract Multiparental advanced generation intercross (MAGIC) populations provide abundant genetic variation for use in plant genetics and breeding. In this study, we developed a method for quantitative trait locus (QTL) detection in pure-line populations derived from 8-way crosses, based on the principles of inclusive composite interval mapping (ICIM). We considered 8 parents carrying different alleles with different effects. To estimate the 8 genotypic effects, 1-locus genetic model was first built. Then, an orthogonal linear model of phenotypes against marker variables was established to explain genetic effects of the locus. The linear model was estimated by stepwise regression and finally used for phenotype adjustment and background genetic variation control in QTL mapping. Simulation studies using 3 genetic models demonstrated that the proposed method had higher detection power, lower false discovery rate (FDR), and unbiased estimation of QTL locations compared with other methods. Marginal bias was observed in the estimation of QTL effects. An 8-parental recombinant inbred line (RIL) population previously reported in cowpea and analyzed by interval mapping (IM) was reanalyzed by ICIM and genome-wide association mapping implemented in software FarmCPU. The results indicated that ICIM identified more QTLs explaining more phenotypic variation than did IM; ICIM provided more information on the detected QTL than did FarmCPU; and most QTLs identified by IM and FarmCPU were also detected by ICIM.

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Inheritance and Identification of a Major Quantitative Trait Locus (QTL) that Confers Resistance to Meloidogyne incognita and a Novel QTL for Plant Height in Sweet Sorghum

Phytopathology ◽

10.1094/phyto-06-15-0136-r ◽

2015 ◽

Vol 105 (12) ◽

pp. 1522-1528 ◽

Cited By ~ 5

Author(s):

Karen R. Harris-Shultz ◽

Richard F. Davis ◽

Joseph E. Knoll ◽

William Anderson ◽

Hongliang Wang

Keyword(s):

Quantitative Trait Locus ◽

Resistance Gene ◽

Meloidogyne Incognita ◽

Quantitative Trait ◽

Sweet Sorghum ◽

Major Quantitative Trait Locus ◽

Interval Mapping ◽

Chromosome 3 ◽

Trait Locus ◽

Stalk Weight

Southern root-knot nematodes (Meloidogyne incognita) are a pest on many economically important row crop and vegetable species and management relies on chemicals, plant resistance, and cultural practices such as crop rotation. Little is known about the inheritance of resistance to M. incognita or the genomic regions associated with resistance in sorghum (Sorghum bicolor). In this study, an F2 population (n = 130) was developed between the resistant sweet sorghum cultivar ‘Honey Drip’ and the susceptible sweet cultivar ‘Collier’. Each F2 plant was phenotyped for stalk weight, height, juice Brix, root weight, total eggs, and eggs per gram of root. Strong correlations were observed between eggs per gram of root and total eggs, height and stalk weight, and between two measurements of Brix. Genotyping-by-sequencing was used to generate single nucleotide polymorphism markers. The G-Model, single marker analysis, interval mapping, and composite interval mapping were used to identify a major quantitative trait locus (QTL) on chromosome 3 for total eggs and eggs per gram of root. Furthermore, a new QTL for plant height was also discovered on chromosome 3. Simple sequence repeat markers were developed in the total eggs and eggs per gram of root QTL region and the markers flanking the resistance gene are 4.7 and 2.4 cM away. These markers can be utilized to move the southern root-knot nematode resistance gene from Honey Drip to any sorghum line.

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