Literature DB >> 31667592

First genome-wide association study of non-severe malaria in two birth cohorts in Benin.

Jacqueline Milet1, Anne Boland2, Pierre Luisi3,4, Audrey Sabbagh5, Ibrahim Sadissou6, Paulin Sonon6, Nadia Domingo7, Friso Palstra5, Laure Gineau5, David Courtin5, Achille Massougbodji7, André Garcia5,7, Jean-François Deleuze2, Hervé Perdry8.   

Abstract

Recent research efforts to identify genes involved in malaria susceptibility using genome-wide approaches have focused on severe malaria. Here, we present the first GWAS on non-severe malaria designed to identify genetic variants involved in innate immunity or innate resistance mechanisms. Our study was performed on two cohorts of infants from southern Benin (525 and 250 individuals used as discovery and replication cohorts, respectively) closely followed from birth to 18-24 months of age, with an assessment of a space- and time-dependent environmental risk of exposure. Both the recurrence of mild malaria attacks and the recurrence of malaria infections as a whole (symptomatic and asymptomatic) were considered. Post-GWAS functional analyses were performed using positional, eQTL, and chromatin interaction mapping to identify the genes underlying association signals. Our study highlights a role of PTPRT, a tyrosine phosphatase receptor involved in STAT3 pathway, in the protection against both mild malaria attacks and malaria infections (p = 9.70 × 10-8 and p = 1.78 × 10-7, respectively, in the discovery cohort). Strong statistical support was also found for a role of MYLK4 (meta-analysis, p = 5.29 × 10-8 with malaria attacks), and for several other genes, whose biological functions are relevant in malaria infection. Results shows that GWAS on non-severe malaria can successfully identify new candidate genes and inform physiological mechanisms underlying natural protection against malaria.

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Year:  2019        PMID: 31667592     DOI: 10.1007/s00439-019-02079-5

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  68 in total

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Journal:  Nat Genet       Date:  2016-08-29       Impact factor: 38.330

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Authors:  Roman M Nikolaienko; Boadi Agyekum; Samuel Bouyain
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5.  Modeling the influence of local environmental factors on malaria transmission in Benin and its implications for cohort study.

Authors:  Gilles Cottrell; Bienvenue Kouwaye; Charlotte Pierrat; Agnès le Port; Aziz Bouraïma; Noël Fonton; Mahouton Norbert Hounkonnou; Achille Massougbodji; Vincent Corbel; André Garcia
Journal:  PLoS One       Date:  2012-01-04       Impact factor: 3.240

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Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

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Journal:  PLoS Genet       Date:  2013-05-23       Impact factor: 5.917

9.  A novel locus of resistance to severe malaria in a region of ancient balancing selection.

Authors:  Gavin Band; Kirk A Rockett; Chris C A Spencer; Dominic P Kwiatkowski
Journal:  Nature       Date:  2015-09-30       Impact factor: 49.962

10.  Novel genetic polymorphisms associated with severe malaria and under selective pressure in North-eastern Tanzania.

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Journal:  PLoS Genet       Date:  2018-01-30       Impact factor: 5.917

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Review 2.  Forward Genetics in Apicomplexa Biology: The Host Side of the Story.

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3.  Mixed logistic regression in genome-wide association studies.

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  3 in total

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