Host Genetic Factors Associated with Vaginal Microbiome Composition in Kenyan Women

Author:

Mehta Supriya D.1ORCID,Nannini Drew R.23,Otieno Fredrick4,Green Stefan J.5ORCID,Agingu Walter4,Landay Alan6,Zheng Yinan23,Hou Lifang23

Affiliation:

1. Division of Epidemiology & Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, Illinois, USA

2. Center for Global Oncology, Institute of Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

3. Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

4. Nyanza Reproductive Health Society, Kisumu, Kenya

5. Genome Research Core, University of Illinois at Chicago, College of Medicine, Chicago, Illinois, USA

6. Department of Internal Medicine, Rush University College of Medicine, Chicago, Illinois, USA

Abstract

Globally, bacterial vaginosis (BV) is a common condition in women. BV is associated with poorer reproductive health outcomes and HIV risk. Typically, BV represents a shift in the vaginal microbiome from one that is dominated by Lactobacillus to one that is diverse. Despite many women having similar exposures, the prevalence of BV and nonoptimal vaginal microbiome is increased for women of African descent, suggesting a possible role for host genetics. We conducted a genome-wide association study of important vaginal microbiome traits in Kenyan women. We identified novel genetic loci and biological pathways related to mucosal immunity, cell signaling, and infection that were associated with vaginal microbiome traits; we replicated previously reported loci associated with mucosal immune response. These results provide insight into potential host genetic influences on vaginal microbiome composition and can guide larger longitudinal studies, with genetic and functional comparison across microbiome sites within individuals and across populations.

Funder

HHS | National Institutes of Health

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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