EurekaMag.com logo
+ Translate

Bayesian and residual maximum likelihood statistical gene mapping


, : Bayesian and residual maximum likelihood statistical gene mapping. Animal Biotechnology 8(1): 47-54

Residual Maximum Likelihood and Bayesian methods for statistical gene mapping in livestock were derived and applied to simulated half-sib designs. REML was robust to the number of QTL alleles, and Bayesian analysis permitted to fit different QTL models. Single QTLs explaining at least 12.5% of additive genetic variance were detected with power of .5 or higher. Two linked QTLs were detected when 20cM (40cM) apart and jointly accounting for 50% (25%) of additive genetic variance.

Accession: 002763170

DOI: 10.1080/10495399709525866

Download PDF Full Text: Bayesian and residual maximum likelihood statistical gene mapping


Submit PDF Full Text

No spam - Every submission is manually reviewed

Due to poor quality, we do not accept files from Researchgate

Submitted PDF Full Texts will always be free for everyone
(We only charge for PDFs that we need to acquire)

Select a PDF file:
Close
Close

Related references

Uimari, P.Z.ang, Q.G.ignola, F.H.eschele, I.T.aller, G., 1996: Analysis of QTL Workshop I granddaughter design data using least-squares, residual maximum likelihood and Bayesian models. Journal of quantitative trait loci JQTL(2)

Uimari, P.; Zhang Qin; Grignola, F.; Hoeschele, I.; Thaller, G., 1996: Analysis of QTL workshop I granddaughter design data using least-squares, residual maximum likelihood and bayesian methods. Three statistical methods were used to analyze real and simulated data from a granddaughter design for QTL analysis workshop I in animal genetics. The granddaughter design consisted of 20 halfsib families, and marker data were available for nine m...

Tom, C.H.; Miller, L.D., 1984: An automated land-use mapping comparison of the Bayesian maximum likelihood and linear discriminant analysis algorithms. The 2 methods were compared in a classification of cover types (including broadleaved and coniferous forest) using Landsat data from the Denver metropolitan area, Colorado. Linear discriminant analysis proved superior to the Bayesian maximum likel...

Zhaxybayeva, O.; Gogarten, J.Peter., 2002: Bootstrap, Bayesian probability and maximum likelihood mapping: exploring new tools for comparative genome analyses. Horizontal gene transfer (HGT) played an important role in shaping microbial genomes. In addition to genes under sporadic selection, HGT also affects housekeeping genes and those involved in information processing, even ribosomal RNA encoding gene...

Zhaxybayeva, O.A.; Gogarten, J.P.ter, 2002: Bootstrap, Bayesian probability and maximum likelihood mapping: Exploring new tools for comparative genome analyses. Background: Horizontal gene transfer (HGT) played an important role in shaping microbial genomes. In addition to genes under sporadic selection, HGT also affects housekeeping genes and those involved in information processing, even ribosomal RNA e...

Grignola, F.E.; Zhang, Q.; Hoeschele, I., 1997: Mapping linked quantitative trait loci via residual maximum likelihood. A residual maximum likelihood method is presented for estimation of the positions and variance contributions of two linked QTLs. The method also provides tests for zero versus one QTL linked to a group of markers and for one versus two QTLs linked...

Grignola, F.E.; Hoeschele, I.; Tier, B., 1996: Mapping quantitative trait loci in outcross populations via residual maximum likelihood. I. Methodology. A residual maximum likelihood method, implemented with a derivative-free algorithm, was derived for estimating position and variance contributions of a single quantitative trait locus (QTL) together with additive polygenic and residual variances....

McCall, M.H., 1998: Investigation into the use of residual maximum likelihood (REML) for the statistical analysis of winter oilseed rape variety trials. In 1994, the Home Grown Cereals Authority (HGCA) commissioned a statistical review of the UK Recommended List winter oilseed rape (Brassica napus) trials programme. The final report of this review contained recommendations relating to the analysis...

Grignola, F.E.; Hoeschele, I.; Zhang, Q.; Thaller, G., 1996: Mapping quantitative trait loci in outcross populations via residual maximum likelihood. II. A simulation study. Position and variance contributions of a single quantitative trait locus (QTL) together with additive polygenic and residual variance components were estimated using a residual maximum likelihood method and a derivative-free algorithm. The varianc...

Orton, T.; Lark, R., 2007: Estimating the local mean for Bayesian maximum entropy by generalized least squares and maximum likelihood, and an application to the spatial analysis of a censored soil variable. The Bayesian maximum entropy (BME) method is a valuable tool, with rigorous theoretical underpinnings, with which to predict with soft (imprecise) data. The methodology uses a general knowledge base to derive a joint prior distribution of the data...