نتایج جستجو برای: Quantitative trait

تعداد نتایج: 378844  

Journal: :journal of livestock science and technologies 2014
m. ahmadi a. k. esmailizadeh a. ayatollahi mehrgardi e. nasirifar

an f2 japanese quail population was developed by crossing two strains (wild and white) to map quantitative trait loci (qtl) for performance and carcass traits. a total of 472 f2 birds were reared and slaughtered at 42 days of age. performance and carcass traits were measured on all of the f2 individuals. parental (p0), f1 and f2 individuals were genotyped with 3 microsatellites from quail chrom...

Journal: :molecular biology research communications 2014
younes miar abdolreza salehi davood kolbehdari seyed ahmad aleyasin

myostatin or growth and differentiation factor 8 (gdf8), has been known as the factor causing double muscling phenotypes in which a series of mutations make the myostatin protein inactive, hence disabling it to regulate the deposition of muscle fibre. this phenotype happens with high frequency in a breed of sheep known as the texel. quantitative trait loci (qtl) studies show that a portion of t...

A. Ayatollahi Mehrgardi, A. K. Esmailizadeh E. Nasirifar M. Ahmadi

An F2 Japanese quail population was developed by crossing two strains (wild and white) to map quantitative trait loci (QTL) for performance and carcass traits. A total of 472 F2 birds were reared and slaughtered at 42 days of age. Performance and carcass traits were measured on all of the F2 individuals. Parental (P0), F1 and F2 individuals were genotyped with 3 microsatellites from quail chrom...

Journal: :journal of agricultural science and technology 2010
b. rabiei

the construction of molecular maps and identification of genomic regions controlling quantitative traits have great significance for plant breeders. in this study, a genetic analysis of quantitative trait loci (qtls) affecting the heading date of rice was performed using an f2 population of a cross between two iranian landrace cultivars, domsephid and gerdeh, comprising 192 plants. an approxima...

Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...

Journal: :research in molecular medicine 0
ali kazemipour shahid bahonar university, kerman,iran bahram goliaei institute of biochemistry and biophysics, university of tehran, iran hamid pezeshk university of tehran, iran behjat kalantari khandani kerman university of medical sciences

gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. hypercholesterolemia is a quantitativ...

Journal: :Current Biology 2013
John F.Y. Brookfield

Quantitative trait loci (QTLs) underlying multifactorial disorders explain little of the heritability - most is 'missing'. A new yeast study has identified QTLs which explain most heritability in traits. Why is heritability missing in human diseases but not here?

Journal: :Methods in molecular biology 2009
Imran Rashid Jason McDermott Ram Samudrala

Analysis of expression quantitative trait loci (eQTL) helps elucidate the connection between genotype, gene expression levels, and phenotype. However, standard statistical genetics can only attribute the changes in expression levels to loci on the genome, not specific genes. Each locus can contain many genes, making it very difficult to discover which gene is controlling the expression levels o...

Journal: :Biometrics 2012
Z John Daye Jinbo Chen Hongzhe Li

We consider the problem of high-dimensional regression under non-constant error variances. Despite being a common phenomenon in biological applications, heteroscedasticity has, so far, been largely ignored in high-dimensional analysis of genomic data sets. We propose a new methodology that allows non-constant error variances for high-dimensional estimation and model selection. Our method incorp...

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