نتایج جستجو برای: pedigree errors

تعداد نتایج: 147734  

Journal: :Genomics 2004
Ke Hao Cheng Li Carsten Rosenow Wing Hung Wong

Currently, most analytical methods assume all observed genotypes are correct; however, it is clear that errors may reduce statistical power or bias inference in genetic studies. We propose procedures for estimating error rate in genetic analysis and apply them to study the GeneChip Mapping 10K array, which is a technology that has recently become available and allows researchers to survey over ...

Journal: :Genetic epidemiology 2011
Lide Han Mark Abney

We present a novel method, IBDLD, for estimating the probability of identity by descent (IBD) for a pair of related individuals at a locus, given dense genotype data and a pedigree of arbitrary size and complexity. IBDLD overcomes the challenges of exact multipoint estimation of IBD in pedigrees of potentially large size and eliminates the difficulty of accommodating the background linkage dise...

Journal: :Investigative ophthalmology & visual science 2008
Joanna Black Sharon R Browning Andrew V Collins John R Phillips

PURPOSE To determine whether the distribution of naturally occurring myopia in Labrador Retrievers has a genetic component. METHODS Pedigree records of a large canine family were analyzed. Pure Labrador Retrievers, 1 to 8 years of age, free of ocular disease, and available for testing were studied. Refractive error was measured by cycloplegic retinoscopy in both eyes. The family included mati...

Journal: :American journal of human genetics 2003
Tricia A Thornton Jonathan L Haines

Statistical genetics software packages for linkage analysis have their own unique constraints on the size and shape of the pedigrees they can process. As a result, researchers are often forced to exclude from analysis some individuals in a given family. Existing procedures for reducing pedigree size to fit computational constraints use arbitrary rules and are not interactive. However, judicious...

2008
Markus Riester Peter F. Stadler Konstantin Klemm

We present a software package for fast pedigree reconstruction in natural populations using co-dominant genomic markers such as microsatellites and SNPs. If available, the algorithm makes use of prior information such as known relationships (sub-pedigrees) or the age and sex of individuals. Statistical confidence is estimated by a simulation of the sampling process. The parentage inference is r...

2002
Lan Yang Xiaozhou Sher Tang Constance M. Johnson Jiajie Zhang Todd R. Johnson

A complete family history is critical to the assessment of genetic risk of hereditary diseases. Kinsys0 is a family history-tracking program used by genetic counselors and healthcare professionals for risk assessment. A pedigree, which is a graphic drawing of family history, is the most important component in such a program. In this project, we analyzed the current pedigree displays of Kinsys0 ...

Journal: :Journal of animal science 2007
L H Damgaard

This paper deals with Bayesian inferences of animal models using Gibbs sampling. First, we suggest a general and efficient method for updating additive genetic effects, in which the computational cost is independent of the pedigree depth and increases linearly only with the size of the pedigree. Second, we show how this approach can be used to draw inferences from a wide range of animal models ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1393

this study aimed at examining the effects of iranian efl learners’ anxiety, ambiguity tolerance, and gender on their preferences for corrective feedback (cf, henceforth). the effects were sought with regard to the necessity, frequency, and timing of cf, types of errors that need to be treated, types of cf, and choice of correctors. seventy-five iranian efl students, twenty-eight males and forty...

2011
Patricio Munoz Marcio Resende Gary Peter Dudley Huber Matias Kirst Tania Quesada

Background Prediction of breeding values (BV) using only genotypic information is the final goal of Genomic Selection (GS) [1]. Commonly, BV prediction from traditional BLUP analysis is the input for constructing GS prediction models, and GS predicted BVs are correlated with traditional BLUP BVs to estimate the accuracy of GS models. The use of GS in plant breeding depends on the accuracy of th...

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