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Sequence and Assembly of Segmental Duplications

$550,000R01FY2014HGNIH

University Of Washington, Seattle WA

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Abstract

DESCRIPTION (provided by applicant): The human genome is arguably one of the most well-annotated and best-assembled mammalian genomes; nevertheless, important gaps remain in our understanding of its sequence organization, function, and evolution. Our genome is particularly enriched for complex segmental duplications, which harbor rapidly evolving genes and predispose our species' genome to non-allelic homologous recombination and disease. The long-term objective of our research has been to develop computational and experimental methods to understand the organization, diversity, and disease impact of segmental duplications. The goal of this competing renewal is to begin to understand the function and evolution of the duplicated genes themselves. We propose to focus here on 13 human- and great ape-specific gene families that have expanded within the last 15 million years of ape evolution. There are three aims: (1) Understand the genetic diversity and structure of these recent duplications by generating high-quality reference sequences using clone-based resources and long-read sequencing technologies; (2) Reconstruct gene family history by comparative sequencing of loci in great apes and exploring changes in gene structure, rates of substitution, and expression; and (3) Develop a robust genotyping assay based on molecular inversion probes to assess the genetic variation of these genes at the population level and the effect of forces such as non-allelic gene conversion. We hypothesize that segmental duplications have played an important role in human neurocognitive adaptation and that patterns of copy number polymorphisms and substitution will differ significantly between functional and nonfunctional paralogs. This research has the additional benefit that it will add new sequence to the human genome, identify missing genes, and provide us with the ability to systematically explore genetic variation of regions frequently overlooked as part of disease-association studies.

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