Bayesian Interval Mapping
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Fine mapping and single nucleotide polymorphism effects estimation on pig chromosomes 1, 4, 7, 8, 17 and X
Fine mapping of quantitative trait loci (QTL) from previous linkage studies was performed on pig chromosomes 1, 4, 7, 8, 17, and X which were known to harbor QTL. Traits were divided into: growth performance, carcass, internal organs, cut yields, and meat quality. Fifty families were used of a F2 population produced by crossing local Brazilian Piau boars wit
Genet. Mol. Biol.. Publicado em: 2013
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2. Mapeamento Bayesiano de múltiplos caracteres: efeitos pleiotrópicos no estudo da herança dos componentes da produção em milho / Bayesian mapping of multiple traits: pleiotropic effects in studying the inheritance of yield components in maize
Pleiotropy has played an important role in understanding quantitative traits. However, the extensiveness of this effect in the genome and its consequences for plant improvement have not been fully elucidated. The aim of this study was to identify pleiotropic quantitative trait loci (QTL) in maize using Bayesian multiple interval mapping. Additionally, we sou
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 09/01/2012
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3. Mapeamento de QTLs utilizando as abordagens Clássica e Bayesiana / Mapping QTLs: Classical and Bayesian approaches
A produção de grãos e outros caracteres de importância econômica para a cultura do milho, tais como a altura da planta, o comprimento e o diâmetro da espiga, apresentam herança poligênica, o que dificulta a obtenção de informações sobre as bases genéticas envolvidas na variação desses caracteres. Associações entre marcadores e QTLs foram ana
Publicado em: 2006
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4. Multipoint linkage-disequilibrium mapping narrows location interval and identifies mutation heterogeneity
Single-nucleotide polymorphism (SNP) genotypes were recently examined in an 890-kb region flanking the human gene CYP2D6. Single-marker and haplotype-based analyses identified, with genomewide significance (P < 10-7), a 403-kb interval displaying strong linkage disequilibrium (LD) with predicted poor-metabolizer phenotype. However, the width of this interval
National Academy of Sciences.
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5. Statistical considerations for linkage analysis using recombinant inbred strains and backcrosses.
Recombinant inbred (RI) mouse strains are extremely useful for gene mapping, especially for establishing preliminary map positions for new loci. However, the usual statistical analysis applied to such experiments may lead to erroneous conclusions about linkage unless unusually stringent criteria are adopted for rejecting the null hypothesis. We describe a Ba