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From Genome-wide Association Studies to Functional Variants: ARL14 Cis-regulatory Variants Are Associated With Severe Malaria.
Adjemout, Mathieu; Gallardo, Frederic; Torres, Magali; Thiam, Alassane; Mbengue, Babacar; Dieye, Alioune; Marquet, Sandrine; Rihet, Pascal.
Affiliation
  • Adjemout M; Aix-Marseille Univ, Inserm, TAGC Theories and Approaches of Genomic Complexity, MarMaRa Institute, Marseille, France.
  • Gallardo F; Aix-Marseille Univ, Inserm, TAGC Theories and Approaches of Genomic Complexity, MarMaRa Institute, Marseille, France.
  • Torres M; Aix-Marseille Univ, Inserm, TAGC Theories and Approaches of Genomic Complexity, MarMaRa Institute, Marseille, France.
  • Thiam A; Pole d'Immunophysiopathologie & Maladies Infectieuses, Institut Pasteur de Dakar.
  • Mbengue B; Service d'Immunologie, Université Cheikh Anta Diop de Dakar, Senegal.
  • Dieye A; Service d'Immunologie, Université Cheikh Anta Diop de Dakar, Senegal.
  • Marquet S; Aix-Marseille Univ, Inserm, TAGC Theories and Approaches of Genomic Complexity, MarMaRa Institute, Marseille, France.
  • Rihet P; Aix-Marseille Univ, Inserm, TAGC Theories and Approaches of Genomic Complexity, MarMaRa Institute, Marseille, France.
J Infect Dis ; 230(3): e743-e752, 2024 Sep 23.
Article in En | MEDLINE | ID: mdl-38531688
ABSTRACT

BACKGROUND:

Genome-wide association studies have identified several nonfunctional tag single-nucleotide polymorphisms (SNPs) associated with severe malaria. We hypothesized that causal SNPs could play a significant role in severe malaria by altering promoter or enhancer activity. Here, we sought to identify such regulatory SNPs.

METHODS:

SNPs in linkage disequilibrium with tagSNPs associated with severe malaria were identified and were further annotated using FUMA. Then, SNPs were prioritized using the integrative weighted scoring method to identify regulatory ones. Gene reporter assays were performed to assess the regulatory effect of a region containing candidates. The association between SNPs and severe malaria was assessed using logistic regression models in a Senegalese cohort.

RESULTS:

Among 418 SNPs, the best candidates were rs116525449 and rs79644959, which were in full disequilibrium between them, and located within the ARL14 promoter. Our gene reporter assay results revealed that the region containing the SNPs exhibited cell-specific promoter or enhancer activity, while the SNPs influenced promoter activity. We detected an association between severe malaria and those 2 SNPs using the overdominance model and we replicated the association of severe malaria with the tagSNP rs116423146.

CONCLUSIONS:

We suggest that these SNPs regulate ARL14 expression in immune cells and the presentation of antigens to T lymphocytes, thus influencing severe malaria development.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Linkage Disequilibrium / Promoter Regions, Genetic / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Genome-Wide Association Study Limits: Female / Humans / Male Country/Region as subject: Africa Language: En Journal: J Infect Dis Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Linkage Disequilibrium / Promoter Regions, Genetic / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Genome-Wide Association Study Limits: Female / Humans / Male Country/Region as subject: Africa Language: En Journal: J Infect Dis Year: 2024 Document type: Article Affiliation country: Country of publication: