Baboons are an important biomedical model for many complex traits, including athlerosclerosis, bone density and obesity. With short generation times and an ability to control the environment, baboons provide a natural complement to human genetic studies of complex traits. However, high-resolution genetic studies in baboons are hampered by a lack of genomic resources. We will address this gap by improving the quality of the baboon genome assembly, providing comprehensive maps of common polymorphisms and haplotypes across the baboon genome, and constructing a high-resolution genetic map for baboons. Together, these resources will enable future fine-scale genotype-phenotype studies in baboons, which in turn may lead to important biomedical advances in understanding the genetic basis of human disease.

Public Health Relevance

Large-scale studies that seek to uncover the genetic basis of complex traits, such as disease susceptibility, require the availability of genomic resources such as high-quality physical and genetic maps and population- level information on common polymorphisms and haplotypes. Our focus on baboons is motivated by their wide use as an animal model for many complex trais, and the potential for discoveries in the baboon to help elucidate fundamental aspects of human biology and disease susceptibility.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
Resource-Related Research Projects (R24)
Project #
5R24OD017859-02
Application #
8871824
Study Section
Special Emphasis Panel (ZOD1-CM-6 (01))
Program Officer
Harding, John D
Project Start
2014-07-01
Project End
2018-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
2
Fiscal Year
2015
Total Cost
$808,087
Indirect Cost
$139,365
Name
University of California San Francisco
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Wall, Jeffrey D; Schlebusch, Stephen A; Alberts, Susan C et al. (2016) Genomewide ancestry and divergence patterns from low-coverage sequencing data reveal a complex history of admixture in wild baboons. Mol Ecol 25:3469-83
Snyder-Mackler, Noah; Majoros, William H; Yuan, Michael L et al. (2016) Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples. Genetics 203:699-714