# Theoretical Population Genetics

> **NIH NIH R01** · UNIVERSITY OF WASHINGTON · 2020 · $397,050

## Abstract

This project is concerned with developing new statistical methodology for population genetic data.
Attention will be focused on dependencies among sets of alleles: the applications of Hardy-Weinberg
testing in high-dimensional genetic data and the characterization of population structure with rare
variants and related populations. Theory will be developed at least in part in response to the needs of
current whole-genome SNP surveys and whole-genome sequence variant surveys for humans. This work
will be extended to analyses of population structure and ancestry proportions to the intensely selected
and medically important HLA region to provide an in-depth analysis of population structure and ancestry
proportions.
The work is proposed by investigators in the Department of Biostatistics at the University of
Washington. They will be joined by Jerome Goudet at the University of Lausanne, Jan Graffelman at the
Universitat Politecnica de Catalunya and Diogo Meyer at the University of Sao Paulo.

## Key facts

- **NIH application ID:** 9975857
- **Project number:** 5R01GM075091-12
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Bruce S. Weir
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $397,050
- **Award type:** 5
- **Project period:** 2006-05-01 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9975857

## Citation

> US National Institutes of Health, RePORTER application 9975857, Theoretical Population Genetics (5R01GM075091-12). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9975857. Licensed CC0.

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