Literature DB >> 35435218

Joint estimation of selection intensity and mutation rate under balancing selection with applications to HLA.

Montgomery Slatkin1.   

Abstract

A composite likelihood method is introduced for jointly estimating the intensity of selection and the rate of mutation, both scaled by the effective population size, when there is balancing selection at a single multi-allelic locus in an isolated population at demographic equilibrium. The performance of the method is tested using simulated data. Average estimated mutation rates and selection intensities are close to the true values but there is considerable variation about the averages. Allowing for both population growth and population subdivision does not result in qualitative differences but the estimated mutation rates and selection intensities do not in general reflect the current effective population size. The method is applied to 3 class I (HLA-A, HLA-B, and HLA-C) and 2 class II loci (HLA-DRB1 and HLA-DQA1) in the 1000 Genomes populations. Allowing for asymmetric balancing selection has only a slight effect on the results from the symmetric model. Mutations that restore symmetry of the selection model are preferentially retained because of the tendency of natural selection to maximize average fitness. However, slight differences in selective effects result in much longer persistence time of some alleles. Trans-species polymorphism, which is characteristic of major-histocompatibility loci in vertebrates, is more likely when there are small differences in allelic fitness than when complete symmetry is assumed. Therefore, variation in allelic fitness expands the range of parameter values consistent with observations of trans-species polymorphism.
© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Ewens–Watterson test; MHC; divergent allele advantage; negative frequency-dependent selection; trans-specific polymorphism

Mesh:

Year:  2022        PMID: 35435218      PMCID: PMC9157114          DOI: 10.1093/genetics/iyac058

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.402


  37 in total

1.  THE NUMBER OF ALLELES THAT CAN BE MAINTAINED IN A FINITE POPULATION.

Authors:  M KIMURA; J F CROW
Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

2.  Modeling multiallelic selection using a Moran model.

Authors:  Christina A Muirhead; John Wakeley
Journal:  Genetics       Date:  2009-05-27       Impact factor: 4.562

Review 3.  Advances in the Evolutionary Understanding of MHC Polymorphism.

Authors:  Jacek Radwan; Wiesław Babik; Jim Kaufman; Tobias L Lenz; Jamie Winternitz
Journal:  Trends Genet       Date:  2020-02-07       Impact factor: 11.639

4.  Major histocompatibility complex variation associated with juvenile survival and parasite resistance in a large unmanaged ungulate population.

Authors:  S Paterson; K Wilson; J M Pemberton
Journal:  Proc Natl Acad Sci U S A       Date:  1998-03-31       Impact factor: 11.205

5.  A sequence-based approach demonstrates that balancing selection in classical human leukocyte antigen (HLA) loci is asymmetric.

Authors:  Paola G Bronson; Steven J Mack; Henry A Erlich; Montgomery Slatkin
Journal:  Hum Mol Genet       Date:  2012-10-12       Impact factor: 6.150

6.  Intensity of natural selection at the major histocompatibility complex loci.

Authors:  Y Satta; C O'hUigin; N Takahata; J Klein
Journal:  Proc Natl Acad Sci U S A       Date:  1994-07-19       Impact factor: 11.205

7.  Interaction between ERAP1 and HLA-B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA-B27 in disease susceptibility.

Authors:  David M Evans; Chris C A Spencer; Jennifer J Pointon; Zhan Su; David Harvey; Grazyna Kochan; Udo Oppermann; Udo Opperman; Alexander Dilthey; Matti Pirinen; Millicent A Stone; Louise Appleton; Loukas Moutsianas; Loukas Moutsianis; Stephen Leslie; Tom Wordsworth; Tony J Kenna; Tugce Karaderi; Gethin P Thomas; Michael M Ward; Michael H Weisman; Claire Farrar; Linda A Bradbury; Patrick Danoy; Robert D Inman; Walter Maksymowych; Dafna Gladman; Proton Rahman; Ann Morgan; Helena Marzo-Ortega; Paul Bowness; Karl Gaffney; J S Hill Gaston; Malcolm Smith; Jacome Bruges-Armas; Ana-Rita Couto; Rosa Sorrentino; Fabiana Paladini; Manuel A Ferreira; Huji Xu; Yu Liu; Lei Jiang; Carlos Lopez-Larrea; Roberto Díaz-Peña; Antonio López-Vázquez; Tetyana Zayats; Gavin Band; Céline Bellenguez; Hannah Blackburn; Jenefer M Blackwell; Elvira Bramon; Suzannah J Bumpstead; Juan P Casas; Aiden Corvin; Nicholas Craddock; Panos Deloukas; Serge Dronov; Audrey Duncanson; Sarah Edkins; Colin Freeman; Matthew Gillman; Emma Gray; Rhian Gwilliam; Naomi Hammond; Sarah E Hunt; Janusz Jankowski; Alagurevathi Jayakumar; Cordelia Langford; Jennifer Liddle; Hugh S Markus; Christopher G Mathew; Owen T McCann; Mark I McCarthy; Colin N A Palmer; Leena Peltonen; Robert Plomin; Simon C Potter; Anna Rautanen; Radhi Ravindrarajah; Michelle Ricketts; Nilesh Samani; Stephen J Sawcer; Amy Strange; Richard C Trembath; Ananth C Viswanathan; Matthew Waller; Paul Weston; Pamela Whittaker; Sara Widaa; Nicholas W Wood; Gilean McVean; John D Reveille; B Paul Wordsworth; Matthew A Brown; Peter Donnelly
Journal:  Nat Genet       Date:  2011-07-10       Impact factor: 38.330

Review 8.  Major histocompatibility complex genomics and human disease.

Authors:  John Trowsdale; Julian C Knight
Journal:  Annu Rev Genomics Hum Genet       Date:  2013-07-15       Impact factor: 8.929

9.  Divergent Allele Advantage Provides a Quantitative Model for Maintaining Alleles with a Wide Range of Intrinsic Merits.

Authors:  Thorsten Stefan; Louise Matthews; Joaquin M Prada; Colette Mair; Richard Reeve; Michael J Stear
Journal:  Genetics       Date:  2019-04-05       Impact factor: 4.562

10.  Empirical distributions of F(ST) from large-scale human polymorphism data.

Authors:  Eran Elhaik
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

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