William George Hill. 7 August 1940—17 December 2021

Author:

Mackay Trudy F. C.1

Affiliation:

1. Center for Human Genetics, Clemson University, 114 Gregor Mendel Circle, Greenwood, SC 28646, USA

Abstract

William (Bill) Hill was an internationally acclaimed statistical, population and quantitative geneticist. His work was inspired by practical problems in animal breeding, but is widely applicable to evolutionary biology and human genetics. Bill's work focused on the joint effects of linkage, mutation and genetic architecture in finite populations. He showed that linked loci under selection can interfere with each other, reducing the rate of response to selection. He derived a widely used metric for linkage disequilibrium and showed that there is likely to be substantial linkage disequilibrium between closely linked variants in finite populations. He also showed that the sampling variance of linkage disequilibrium is very large, hampering its use in estimating effective population size or recombination rates. Bill derived sampling variances for inbreeding and realized relatedness between individuals with the same expected degree of relatedness. He raised awareness about the importance of new mutations for quantitative genetic variation and the response to artificial selection, and developed models for the maintenance of quantitative genetic variation by a balance between mutation and stabilizing selection. His experimental designs for estimating heritability and conducting artificial selection experiments have been widely adopted, and were utilized in his own long-term mouse selection experiments. Bill influenced animal breeding directly through consultancies with breeding companies, and his influence on quantitative genetics continues today via his numerous mentees.

Publisher

The Royal Society

Subject

General Medicine

Reference68 articles.

1. Adaptive Evolution Is Substantially Impeded by Hill–Robertson Interference inDrosophila

2. Genetic Recombination and Molecular Evolution

3. Mutation and Quantitative Variation

4. Dudley, J. W. 1977 Seventy-six generations of selection for oil and protein percentage in maize. In Proc. Int. Conf. Quantitative Genetics (eds E. Pollak, O. Kempthorne & T. B. Bailey Jr), pp. 459-473. Ames, IA: Iowa State University Press.

5. Falconer, D. S. & Mackay, T. F. C. 1996 Introduction to quantitative genetics, 4th edn. Harlow, UK: Addison Wesley Longman.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3