CBGW John Pollak
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Transcript of CBGW John Pollak
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ALMA Alberta Livestock & Meat Agency Ltd.
Canadian Bovine Genomics Workshop
September 14, 2009
Calgary, Alberta
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International Beef Genomics:
United States Example
John PollakCornell University
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Questions
What is the international situation – U.S.?
Is there an International Genomics Strategy?
How is Canada positioned to influence and/or align with this strategy?
What can we learn?
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U.S. Example
Discovery
Tools 1 – Methodology2 – Higher density panels
Validation--------------------------------------
Demonstration
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Discovery
This period between BFI Canada and now has seen an amazing number of animals
genotyped with the 50K panel.
Applied to:
Bull repositories – focus on traits with data collection infrastructure
Animal phenotypes – focus on novel traits
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Discovery
ARS (beef and dairy)
US MARC (phenotype and 2000 bulls)
Beltsville (dairy bull repository)
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Discovery
NBCEC (field populations)
Healthfulness (Iowa State)
Feedlot Health (Colorado State)
Reproduction and Stayability (Cornell)
Industry partner: Pfizer Animal Genetics
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Discovery
University Programs
Examples:
University of Missouri - Beef bull repository
University of Illinois – Genetic defects
Texas A and M, UC Davis, Washington State….
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Discovery
USDA Competitive Grants
Examples with an NBCEC flavor (all interrelated):
Milt Thomas, NMSU – Reproduction
Alison Van Eenennaam, UCD – Integrated
Dorian Garrick, ISU – Bioinformatics
Van Tassell, Taylor and Pollak – Whole Genome Enabled Animal Selection
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Discovery
Industry
Major DNA genetic service providers have R&D programs.
Projects in collaboration with university researchers and independent projects
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U.S. Example
Discovery
Tools 1 – Methodology2 – Higher density panels
Validation
Demonstration
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Tools
Methodology
The advent of large SNP panels presents a challenge to analysis of data.
Software for the implementation of procedure like Bayes “B” (and derivates) is being developed.
GenSel – Iowa State University (freeware)
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Tools
Methodology
There are many advantages to universal software to include eliminating duplication of effort and having a system that is understood
and tested by all.
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Tools
Methodology
Integration of information for selection
Optimal use of DNA-derived information and EPDs comes from appropriately indexing all sources of
information.
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Tools
Blending of results:
Indexing the MBVs and traditional genetic predictions.
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Tools
Using genotypes:
Either fitting directly or through the genomic relationship matrix
Misztal – University of Georgia
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Tools
Fitting MBVs:
Using the molecular predictions as correlated information in genetic evaluation
Kachman – University of Nebraska
(American Angus Association application)
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U.S. Example
Discovery
Tools 1 – Methodology2 – Higher density panels
Validation
Demonstration
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Tools
Larger panel: Is 50K enough?
In all of the discovery efforts, we are leaving a lot of unexplained genetic variation on the table.
The proportion of the genetic variation explained by MBVs is typically quite good in the discovery populations but most
often disappointing (< 20%) in validation populations.
We also are seeing that the MBVs developed in one breed do not work as effectively in other breeds.
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Tools
Larger panel: Is 50K enough?
Some Issues:
Variation from rare minor alleles.
LD issues leading to lack of “portability” of discovery from one breed to another.
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Tools
How will we apply the new “larger panel”?
We have exhausted a lot of financial resources using the 50K.
Will it be cost effective to consider redoing all animals genotyped with the 50K?
I have not seen a strategic plan in academia for the most efficient, cost effective use of the new panel.
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U.S. Example
Discovery
Tools 1 – Methodology2 – Higher density panels
Validation
Demonstration
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Validations
Process of replicating discovery results in “independent” populations.
Past validations are examples of joint efforts of the U.S., Australia and Canada.
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Validations
Running out of populations:
We don’t have populations with phenotypes for all traits needing validation.
We are using populations we do have phenotyped for discovery.
We also have problems with populations being disproportionately related to the discovery group.
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Validation: Step Two
We have not developed an in-depth strategy for “assessment” of DNA tools.
We are looking across breeds.
Not assessing differences across management schemes or environments.
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ISSUE: Phenotypes
From the process of discovery to broader assessment, the major issue is lack of
phenotypic information.
We simply do not have enough at this time, and efforts towards collaboration in pooling
resources are necessary.
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Is There a U.S. Genomics Strategy?
Positive: A large number of projects with a wide range of target traits and approaches.
We also have projects in:
Developing methodology for delivery.Developing extension materials.
In validation.
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Is There a U.S. Genomics Strategy?
Negative: Disjointed. We have not found efficient ways of combining our resources for
discovery or for validation.
There is a strategy within ARS, within NBCEC, within USDA competitive grants and in the
commercialization companies but not necessarily across organizations.
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Questions
Is there a U.S. Genomics Strategy?At the 30,000 foot level,,,,,, = kind of.
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U.S. Example
Discovery
Tools 1 – Methodology2 – Higher density panels
Validation
Demonstration
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Demonstration
There is still a lot of inertia impeding adoption and there is the need to develop consumer
confidence in the process.
The EPD lesson:EPDs were eventually accepted as producers gained
confidence that the predictions matched what they saw in their records.
The Weight Trait Project
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R & DDiscovery
Field study
Analysis
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Extension
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Industry Infrastructure
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2 Collaborators
4 Collaborators
6 Collaborators
7 Collaborators
1 Collaborator
North Dakota
Iowa
South Dakota
Nebraska
Kansas1 Collaborator
Colorado
21Ranches
Collecting ~ 18,000 DNA samples
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Demonstration
Concept in this project is to force collaboration among the different
organizations through the need to deliver the demonstration project.