Estimating Effects and Variance Components in Models of Quantitative Genetics in an Era Sequenced Genomes

Estimating Effects and Variance Components in Models of Quantitative Genetics in an Era Sequenced Genomes

Charles J. Mode

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Drexel University

Estimating Effects and Variance Components in Models of Quantitative Genetics in an Era Sequenced Genomes

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Abstract

As in many other areas of research in genetics, the availability of sequenced genomes in samples of individuals has revolutionized the study of quantitative traits, because researches have developed statistical evidence regarding the lo-cations of genomic regions, loci, that have been implicated with the expression of a quantitative trait or traits. Therefore, in cases in which it is possible to develop operational definitions of at least two alleles at each locus, genomic regions, it becomes possible to identify the genotype of each individual with re-spect to a set of loci that have been shown in other experiments to influence the expression of a quantitative trait. As will be shown in this paper, by knowing the genotype of each individual in a sample with respect to a set of identified loci, it is now possible to directly estimate effects that are measures of not only intra-allelic interactions at each locus under consideration but also various types of epistatic effects that are measures of interactions among alleles at different loci, governing the inheritance of a quantitative trait.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Charles J. Mode. 2014. \u201cEstimating Effects and Variance Components in Models of Quantitative Genetics in an Era Sequenced Genomes\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F5).

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GJSFR Volume 14 Issue F5

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

effects as measures of intra-allelic and epistatic inte genomic regions implicated with a quantitative trait known genotypes loci locus and alleles

Submission ReceivedJuly 10, 2014
Peer Review Double Blind
Handling Editor
Accepted July 30, 2014
Published August 13, 2014

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v1.2

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October 7, 2014

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Total Score: 131

Country: United States

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Charles J. Mode (PhD/Dr. count: 0)

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