U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 close



Research
                Research Home
                            National Programs
                            Research Projects
                            Scientific Manuscripts
                            International Engagement
                            Scientific Software/Models
                            Databases and Datasets
                            Office of Scientific Quality Review
            Media
                News & Features
                            Multimedia
                            Briefing Room
                            Down on the Farm
                            Press Room
                            Science in Your Shopping Cart
                            Scientific Discoveries
                            Tellus
                            Under the Microscope
            About ARS
                About ARS Home
                            Staff Directory
                            Labs and Research Centers (Map)
                            Headquarter Offices
                            Organizational Chart
                            Employee Services (REE Employees Only)
                            Office of Outreach, Diversity, and Equal Opportunity
            Work With Us
                Work With Us Home
                            ARS Vacancies at USAJOBS
                            Careers at ARS Information
                            Scientific Collaborations
                            Extramural Agreements
                            1890 Faculty Research Sabbatical ProgramSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications

Title:   Author  item
                                            Sonstegard, Taditem
                                            VANRADEN, PAUL - USDA,AIPLitem
                                            WIGGANS, GEORGE - USDA,AIPLitem
                                            SCHNABEL, STEVEN - UNIVERSITY OF MISSOURIitem
                                            Liu, Ge

                                                         - *George*item
                                            MATUKUMALLI, LAKSHMI - GEORGE MASON UNIVERSITYitem
                                            MCKAY, STEPHANIE - UNIVERSITY OF MISSOURIitem
                                            Schroeder, Steven

                                                         - *Steve*item
                                            Gasbarre, Louisitem
                                            TAYLOR, JEREMY - UNIVERSITY OF MISSOURIitem
                                            Van Tassell, Curtis

                                                         - *Curt*
  Submitted to: International Symposium of Animal Functional Genomics
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 3/15/2008
                                    Publication  Date: 4/6/2008
                                    Citation: Sonstegard, T.S., Vanraden, P., Wiggans, G., Schnabel, S., Liu, G., Matukumalli, L.K., Silva, M.V., Mckay, S., Schroeder, S.G., Gasbarre, L.C., Taylor, J.F., Van Tassell, C.P. 2008. Applied Bovine Genomics: Chipping away at the genetics underlying disease traits.. International Symposium of Animal Functional Genomics.Interpretive Summary:
                                Technical Abstract: The sequencing of the bovine genome has resulted in the development of experimental tools and reagents that will greatly enhance genome biology research in cattle, especially for traits affecting health.  Previously, mapping studies to identify quantitative trait loci (QTL) affecting health traits were limited by low density microsatellite marker genotypes and the phenotypes that could be extracted from experimental populations optimized for QTL mapping (i.e. F2 and backcross populations).  Results from these studies have not always been readily applicable for enhancing genetic improvement in commercial populations.  However, some of these limitations can be overcome with the availability of dense single nucleotide polymorphism (SNP) based genotyping assays and copy number variation (CNV) maps.  To initiate these studies, we produced a 50,000 SNP assay with uniform distribution of informative markers across the bovine genome, and a map of CNV common to popular cattle breeds.  These mapping tools allow determination of linkage disequilibrium for disease traits across populations, or alternatively, the improvement of multiple traits based on genome composition.  We are investigating the feasibility of these approaches by performing a genome-wide association study in both the U.S. commercial dairy population (N=4,000 Holstein sires) across all nationally recorded traits and on an experimental cattle population (N=600 animals) previously found to contain QTL for parasite resistance/susceptibility.  The goals of these studies will be to implement genome-wide selection based on haplotype, linkage disequilibrium, and CNV information and develop a subset of markers denoting important haplotypes for disease susceptibility diagnostics.  Our preliminary analysis of all production and health traits using subset of genotyped Holstein ancestors combined with the genomic predictions by multiple regression suggested overall predictions were significantly (P < .0001) more accurate than official parent averages for all 26 traits. Across all traits, realized reliabilities for the combined genomic predictions averaged 18% higher than reliabilities of parent average (50% vs. 32%). Gains in information were equivalent to 7 daughters for milk yield or 57 daughters for fertility. This strongly suggests the inexpensive genotyping of dense markers for many animals allows inheritance of minor genes to be traced. Therefore, genomic selection can greatly increase accuracy and decrease generation interval, and ultimately should reduce the cost of progeny testing of dairy sires.  Eventually, this methodology should prove useful for improving the allele frequencies of disease resistance haplotypes in high production breeds of cattle allowing intensification of production without adversely affecting the genetic diversity.  Moreover, these studies will provide new biological information on fertility, mastitis, and parasite resistance/susceptibility.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov