Literature DB >> 35817969

From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill.

Brian Charlesworth1, Michael E Goddard2,3, Karin Meyer4, Peter M Visscher5, Bruce S Weir6, Naomi R Wray7,8.   

Abstract

The quantitative geneticist W. G. ('Bill') Hill, awardee of the 2018 Darwin Medal of the Royal Society and the 2019 Mendel Medal of the Genetics Society (United Kingdom), died on 17 December 2021 at the age of 81 years. Here, we pay tribute to his multiple key scientific contributions, which span population and evolutionary genetics, animal and plant breeding and human genetics. We discuss his theoretical research on the role of linkage disequilibrium (LD) and mutational variance in the response to selection, the origin of the widely used LD metric r2 in genomic association studies, the genetic architecture of complex traits, the quantification of the variation in realized relationships given a pedigree relationship and much more. We demonstrate that basic theoretical research in quantitative and statistical genetics has led to profound insights into the genetics and evolution of complex traits and made predictions that were subsequently empirically validated, often decades later.
© 2022. Springer Nature America, Inc.

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Year:  2022        PMID: 35817969     DOI: 10.1038/s41588-022-01103-1

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   41.307


  49 in total

1.  Why didn't Gregor Mendel find linkage?

Authors:  S Blixt
Journal:  Nature       Date:  1975-07-17       Impact factor: 49.962

2.  Mendelian controversies: a botanical and historical review.

Authors:  D J Fairbanks; B Rytting
Journal:  Am J Bot       Date:  2001-05       Impact factor: 3.844

3.  Some Applications of Mathematics to Breeding Problems III.

Authors:  R B Robbins
Journal:  Genetics       Date:  1918-07       Impact factor: 4.562

4.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

Authors:  Brendan K Bulik-Sullivan; Po-Ru Loh; Hilary K Finucane; Stephan Ripke; Jian Yang; Nick Patterson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal:  Nat Genet       Date:  2015-02-02       Impact factor: 38.330

5.  Efficiency of marker-assisted selection in the improvement of quantitative traits.

Authors:  R Lande; R Thompson
Journal:  Genetics       Date:  1990-03       Impact factor: 4.562

6.  One Hundred Years of Linkage Disequilibrium.

Authors:  John A Sved; William G Hill
Journal:  Genetics       Date:  2018-07       Impact factor: 4.562

7.  Linkage disequilibrium in finite populations.

Authors:  W G Hill; A Robertson
Journal:  Theor Appl Genet       Date:  1968-06       Impact factor: 5.699

8.  Variances and covariances of squared linkage disequilibria in finite populations.

Authors:  W G Hill; B S Weir
Journal:  Theor Popul Biol       Date:  1988-02       Impact factor: 1.570

9.  Effect of mating structure on variation in linkage disequilibrium.

Authors:  B S Weir; W G Hill
Journal:  Genetics       Date:  1980-06       Impact factor: 4.562

10.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

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