# 6th International Conference of Quantitative Genetics

> **NIH NIH R13** · UNIVERSITY OF WASHINGTON · 2020 · $27,000

## Abstract

Support is requested for contributing US graduate students and postdocs at the 6th Interna-
tional Conference on Quantitative Genetics (ICQG6) to be held in Brisbane, Australia, June 14-19
2020. As with the previous ICQG's, including ICQG5 held in Madison, Wisconsin, the conference
will provide a comprehensive survey of the current status of quantitative genetics. Quantitative
genetics is the field of study that investigates the genetic contribution to variation between indi-
viduals in populations, and hence is fundamental to understanding differences between people in
the context of human disease. However, genetic variation underpins variation between individuals
in agricultural and model species, and the methodologies of analysis are shared across these disci-
plines. New technologies in genomics and molecular genetics of the last decade have propelled novel
developments in statistical methodologies. These new technologies are providing both opportunities
and challenges for our understanding of the genetic basis of quantitative traits in human and other
natural populations, the evolution of characters, and use for plant and animal breeding. ICQG6 is
unique in the conference circuit for bringing together researchers addressing similar problems from
different perspectives, and these interactions can precipitate new research directions.

## Key facts

- **NIH application ID:** 9989551
- **Project number:** 1R13HG011187-01
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Bruce S. Weir
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $27,000
- **Award type:** 1
- **Project period:** 2020-08-01 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9989551

## Citation

> US National Institutes of Health, RePORTER application 9989551, 6th International Conference of Quantitative Genetics (1R13HG011187-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9989551. Licensed CC0.

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