Literature DB >> 27840430

Microbial genome-wide association studies: lessons from human GWAS.

Robert A Power1, Julian Parkhill2, Tulio de Oliveira1,2,3.   

Abstract

The reduced costs of sequencing have led to whole-genome sequences for a large number of microorganisms, enabling the application of microbial genome-wide association studies (GWAS). Given the successes of human GWAS in understanding disease aetiology and identifying potential drug targets, microbial GWAS are likely to further advance our understanding of infectious diseases. These advances include insights into pressing global health problems, such as antibiotic resistance and disease transmission. In this Review, we outline the methodologies of GWAS, the current state of the field of microbial GWAS, and how lessons from human GWAS can direct the future of the field.

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Year:  2016        PMID: 27840430     DOI: 10.1038/nrg.2016.132

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  59 in total

Review 1.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  FaST linear mixed models for genome-wide association studies.

Authors:  Christoph Lippert; Jennifer Listgarten; Ying Liu; Carl M Kadie; Robert I Davidson; David Heckerman
Journal:  Nat Methods       Date:  2011-09-04       Impact factor: 28.547

4.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

5.  A major genome region underlying artemisinin resistance in malaria.

Authors:  Ian H Cheeseman; Becky A Miller; Shalini Nair; Standwell Nkhoma; Asako Tan; John C Tan; Salma Al Saai; Aung Pyae Phyo; Carit Ler Moo; Khin Maung Lwin; Rose McGready; Elizabeth Ashley; Mallika Imwong; Kasia Stepniewska; Poravuth Yi; Arjen M Dondorp; Mayfong Mayxay; Paul N Newton; Nicholas J White; François Nosten; Michael T Ferdig; Timothy J C Anderson
Journal:  Science       Date:  2012-04-06       Impact factor: 47.728

Review 6.  Human genetic susceptibility to infectious disease.

Authors:  Stephen J Chapman; Adrian V S Hill
Journal:  Nat Rev Genet       Date:  2012-02-07       Impact factor: 53.242

7.  PANGEA-HIV: phylogenetics for generalised epidemics in Africa.

Authors:  Deenan Pillay; Joshua Herbeck; Myron S Cohen; Tulio de Oliveira; Christophe Fraser; Oliver Ratmann; Andrew Leigh Brown; Paul Kellam
Journal:  Lancet Infect Dis       Date:  2015-03       Impact factor: 25.071

8.  Predicting the virulence of MRSA from its genome sequence.

Authors:  Maisem Laabei; Mario Recker; Justine K Rudkin; Mona Aldeljawi; Zeynep Gulay; Tim J Sloan; Paul Williams; Jennifer L Endres; Kenneth W Bayles; Paul D Fey; Vijaya Kumar Yajjala; Todd Widhelm; Erica Hawkins; Katie Lewis; Sara Parfett; Lucy Scowen; Sharon J Peacock; Matthew Holden; Daniel Wilson; Timothy D Read; Jean van den Elsen; Nicholas K Priest; Edward J Feil; Laurence D Hurst; Elisabet Josefsson; Ruth C Massey
Journal:  Genome Res       Date:  2014-04-09       Impact factor: 9.043

9.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

10.  Genomic and functional analyses of Mycobacterium tuberculosis strains implicate ald in D-cycloserine resistance.

Authors:  Christopher A Desjardins; Keira A Cohen; Vanisha Munsamy; Thomas Abeel; Kashmeel Maharaj; Bruce J Walker; Terrance P Shea; Deepak V Almeida; Abigail L Manson; Alex Salazar; Nesri Padayatchi; Max R O'Donnell; Koleka P Mlisana; Jennifer Wortman; Bruce W Birren; Jacques Grosset; Ashlee M Earl; Alexander S Pym
Journal:  Nat Genet       Date:  2016-04-11       Impact factor: 38.330

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  82 in total

1.  Phylogenetic Methods for Genome-Wide Association Studies in Bacteria.

Authors:  Xavier Didelot
Journal:  Methods Mol Biol       Date:  2021

2.  Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes.

Authors:  Miaoyan Wang; Fabrice Roux; Claudia Bartoli; Carine Huard-Chauveau; Christopher Meyer; Hana Lee; Dominique Roby; Mary Sara McPeek; Joy Bergelson
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-30       Impact factor: 11.205

Review 3.  Host-parasite co-evolution and its genomic signature.

Authors:  Dieter Ebert; Peter D Fields
Journal:  Nat Rev Genet       Date:  2020-08-28       Impact factor: 53.242

4.  MAGNAMWAR: an R package for genome-wide association studies of bacterial orthologs.

Authors:  Corinne E Sexton; Hayden Z Smith; Peter D Newell; Angela E Douglas; John M Chaston
Journal:  Bioinformatics       Date:  2018-06-01       Impact factor: 6.937

5.  ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses.

Authors:  Natasha Pavlovikj; Joao Carlos Gomes-Neto; Jitender S Deogun; Andrew K Benson
Journal:  PeerJ       Date:  2021-05-21       Impact factor: 2.984

6.  Evolutionary genomic and bacteria GWAS analysis of Mycobacterium avium subsp. paratuberculosis and dairy cattle Johne's disease phenotypes.

Authors:  Vincent P Richards; Annette Nigsch; Paulina Pavinski Bitar; Qi Sun; Tod Stuber; Kristina Ceres; Rebecca L Smith; Suelee Robbe Austerman; Ynte Schukken; Yrjo T Grohn; Michael J Stanhope
Journal:  Appl Environ Microbiol       Date:  2021-02-05       Impact factor: 4.792

Review 7.  Population Biology and Comparative Genomics of Campylobacter Species.

Authors:  Lennard Epping; Esther-Maria Antão; Torsten Semmler
Journal:  Curr Top Microbiol Immunol       Date:  2021       Impact factor: 4.291

8.  Model-based integration of genomics and metabolomics reveals SNP functionality in Mycobacterium tuberculosis.

Authors:  Ove Øyås; Sonia Borrell; Andrej Trauner; Michael Zimmermann; Julia Feldmann; Thomas Liphardt; Sebastien Gagneux; Jörg Stelling; Uwe Sauer; Mattia Zampieri
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-30       Impact factor: 11.205

9.  Design and methodology challenges of environment-wide association studies: A systematic review.

Authors:  Yi Zheng; Zhaoyi Chen; Thomas Pearson; Jinying Zhao; Hui Hu; Mattia Prosperi
Journal:  Environ Res       Date:  2020-02-19       Impact factor: 6.498

Review 10.  Alphaherpesvirus Genomics: Past, Present and Future.

Authors:  Chad V Kuny; Moriah L Szpara
Journal:  Curr Issues Mol Biol       Date:  2020-11-07       Impact factor: 2.081

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