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Methods of using genetic markers and related epistatic interactions

A marker, allelic technology for the application of genes and genetic markers in the field of genetic markers used to improve fitness and/or productivity traits in dairy cows

Inactive Publication Date: 2011-02-09
PFIZER INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, different candidate genes are usually studied by different groups, and the genotypes of different candidate genes are collected from different animals; most candidate gene studies focus on discovering / confirming the association of traits with their SNPs of interest; interaction effects studies usually require larger sample sizes

Method used

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  • Methods of using genetic markers and related epistatic interactions
  • Methods of using genetic markers and related epistatic interactions
  • Methods of using genetic markers and related epistatic interactions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Example 1: Determine the association between genetic markers and phenotypic traits

[0089] The simultaneous discovery and fine mapping of genetic-based quantitative traits (quantitative trait locus: QTL) based on the genome-wide range requires genetic markers that densely cover the entire genome. As described in this example, from microsatellite (microsatellite) markers and single nucleotide polymorphism (SNP) markers with previously estimated positions in the bovine genome, as well as from human sequences based on the bovine genome The homology and the SNP markers of the inferred positions of the human / bovine comparative map construct a marker map with dense coverage of the whole genome. A new linkage mapping software package was developed as an extension of the CRIMAP software (Green et al., Washington University School of Medicine, St. Louis, 1990) to enable more effective, densely distributed markers on the genome range of well-defined pedigree livestock (Liu and Gro...

Embodiment 2

[0111] Example 2: Analysis of interaction effects between multiple genetic markers

[0112] SNP clustering from candidate genes : Mainly due to the smaller effective population size and stronger selection, alleles from closely connected SNPs are usually related in animal populations (for example, Farnir et al., 2000; Du et al., 2007). Obviously, if two SNPs are in a perfect LD, their association with the trait of interest and their interaction with other SNPs on the trait of interest will be similar, which will not provide much additional statistical evidence. Therefore, it is useful to cluster SNPs from the same candidate gene when genotyping multiple SNPs at a single gene.

[0113] Trait phenotypic preconditioning : This research focuses on traditional milk production traits, including milk production ("MILK") (lbs), fat production ("FAT") (lbs), fat percentage ("FATPCT") (%), production life ("PL") ) (Month), somatic cell score ("SCS") (Log), offspring pregnancy rate ("DPR") ...

Embodiment 3

[0125] Example 3: Use single nucleotide polymorphism (SNP) to improve offspring traits

[0126] In order to improve the average genetic value of the population for the selected trait, two or more markers that are significantly related to the trait can be used when selecting breeding animals. In the case of each found locus, the use of animals possessing marker alleles (or haplotypes of multiple marker alleles) in the population range LD with favorable QTL alleles will increase the number of breeding The breeding value of the animal increases the frequency of the QTL allele in the population over time and thereby increases the population’s average genetic value for the trait. This increased genetic value can be spread to commercial populations to fully realize the value.

[0127] For example, progeny testing protocols can greatly improve the rate of genetic progress or the success rate of graduation by using markers to screen juvenile bulls. Usually, the offspring testing program ...

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Abstract

The present invention provides methods for improving desirable animal traits including improved fitness and productivity in dairy animals. Also provided are methods for determining a dairy animal's genotype with respect to multiple markers associated with fitness and / or productivity. The invention also provides methods for selecting or allocating animals for predetermined uses such as progeny testing or nucleus herd breeding, for picking potential parent animals for breeding, and for producing improved progeny animals. Each of the above methods may be further improved through the incorporation of interaction effects between multiple SNPs.

Description

[0001] Priority claim [0002] This application claims the benefits of U.S. Provisional Application No. 60 / 971,750 filed on September 12, 2007, the entire contents of which are incorporated herein by reference. [0003] Incorporation of Sequence Listing [0004] A sequence listing containing 175 nucleotide sequences was submitted at the same time as this article. The sequence listing contains 84,218 bytes created on 09 / 05 / 08 (in Microsoft The file named pa_CandGeneInteractionEffects2_annotated.ST25.txt, the entire content of which is incorporated herein by reference. Technical field [0005] The present invention relates to the improvement of desired characteristics in dairy cows. More specifically, the present invention relates to the use of genes and genetic markers in a method of using genetic markers to improve the fitness and / or productivity traits of dairy cows, including the simultaneous application of multiple genetic markers and specific alleles at these markers. The intera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K67/02C12Q1/68A01K67/027
CPCA01K67/02C12Q2600/156C12Q2600/172C12Q1/6883
Inventor 杜峰行爱德华·J·卡吉尔迈克尔·D·路易斯迈克尔·D·格罗斯
Owner PFIZER INC
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