Prediction of additive genetic effects for the QTL-cluster on the basis of data on surrounding markers in outbred populations.
نویسندگان
چکیده
This paper described a method for predicting additive effects of a cluster of tightly linked QTLs for outbred populations of animals in the situation where the QTLs are located on a chromosome segment surrounded by multiple linked DNA markers. We present a mixed model method for best linear unbiased prediction (conditional to the marker data) of the additive effects of the QTL-cluster and of the remaining QTLs unlinked to the marker linkage group. This method takes into consideration the identity-by-descent proportion (IBDP) for the particular chromosomal segment, in contrast to some other methods which use IBD probabilities at one specific location. In this method, fully informative data on different flanking markers is used to calculate the values of the expectations of the IBDPs (EIBDPs) between gametes for animals to be evaluated. Then the expected values are used as the elements of the gametic relationship matrix required in the best linear unbiased prediction. Giving a small numerical example, we illustrate how the present method can be used for the prediction of the QTL-cluster effects and for genetic evaluation of animals in outbred populations. A computational strategy is discussed on the basis of the calculation of the EIBDPs and the inverted gametic relationship matrix in complex pedigrees.
منابع مشابه
مقایسه روش های مختلف آماری در انتخاب ژنومی گاوهای هلشتاین
Genomic selection combines statistical methods with genomic data to predict genetic values for complex traits. The accuracy of prediction of genetic values in selected population has a great effect on the success of this selection method. Accuracy of genomic prediction is highly dependent on the statistical model used to estimate marker effects in reference population. Various factors such a...
متن کاملارزیابی صحت پیشبینی ژنومی در معماریهای مختلف ژنومی صفات کمی و آستانهای با جانهی دادههای ژنومی شبیهسازیشده، توسط روش جنگل تصادفی
Genomic selection is a promising challenge for discovering genetic variants influencing quantitative and threshold traits for improving the genetic gain and accuracy of genomic prediction in animal breeding. Since a proportion of genotypes are generally uncalled, therefore, prediction of genomic accuracy requires imputation of missing genotypes. The objectives of this study were (1) to quantify...
متن کاملAccuracy of Genomic Prediction under Different Genetic Architectures and Estimation Methods
The accuracy of genomic breeding value prediction was investigated in various levels of reference population size, trait heritability and the number of quantitative trait locus (QTL). Five Bayesian methods, including Bayesian Ridge regression, BayesA, BayesB, BayesC and Bayesian LASSO, were used to estimate the marker effects for each of 27 scenarios resulted from combining three levels for her...
متن کاملEvaluation of Genetic Diversity in Iranian Violet (Viola spp) Populations Using Morphological and RAPD Molecular Markers
Recognition of genetic reserves and desirable genes is the basis of breeding programs. So far, in Iran, due to the lack of recognition of genetic resources, a considerable breeding program has not been done on native plants. The study of the genetic diversity of violets as a native plant with ornamental and medicinal uses is the great importance in advancing the breeding goals of this plant. So...
متن کاملMolecular diversity within and between Ajowan (Carum copticum L.) populations based on inter simple sequence repeat (ISSR) markers
Study of genetic relationships is a prerequisite for plant breeding activities as well as for conservation of genetic resources. In the present study, genetic diversity among and within 15 Iranian native Ajowan(Carum copticum L.) populations were determined using inter simple sequence repeat (ISSR) markers. Twelve selected primers produced 153 discernible bands, with 93 (60.78%) being ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of applied genetics
دوره 43 2 شماره
صفحات -
تاریخ انتشار 2002