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Abstract
Despite the increasing knowledge about factors shaping the human microbiome, the host genetic factors that modulate the skin-microbiome interactions are still largely understudied. This contrasts with recent efforts to characterize host genes that influence the gut microbiota. Here, we investigated the effect of genetics on skin microbiota across three different skin microenvironments through meta-analyses of genome-wide association studies (GWAS) of two population-based German cohorts. We identified 23 genome-wide significant loci harboring 30 candidate genes involved in innate immune signaling, environmental sensing, cell differentiation, proliferation and fibroblast activity. However, no locus passed the strict threshold for study-wide significance (P < 6.3 × 10−10 for 80 features included in the analysis). Mendelian randomization (MR) analysis indicated the influence of staphylococci on eczema/dermatitis and suggested modulating effects of the microbiota on other skin diseases. Finally, transcriptional profiles of keratinocytes significantly changed after in vitro co-culturing with Staphylococcus epidermidis, chosen as a representative of skin commensals. Seven candidate genes from the GWAS were found overlapping with differential expression in the co-culturing experiments, warranting further research of the skin commensal and host genetic makeup interaction.
Microbiome composition is influenced by genetics, although the specific host genetic factors responsible are not well known. Here, the authors performed a genome-wide meta-analysis to discover host genetic effects on skin microbiota and finding potential causal effects of microbiota composition on skin diseases.
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1 Kiel University, Institute of Clinical Molecular Biology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986); University Hospital Schleswig-Holstein, Department of Dermatology and Allergy, Kiel, Germany (GRID:grid.412468.d) (ISNI:0000 0004 0646 2097)
2 Kiel University, Institute of Clinical Molecular Biology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986)
3 University Hospital Schleswig-Holstein, Department of Dermatology and Allergy, Kiel, Germany (GRID:grid.412468.d) (ISNI:0000 0004 0646 2097)
4 Kiel University, Institute of Clinical Molecular Biology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986); Vilnius University, Institute of Biotechnology, Life Science Centre, Vilnius, Lithuania (GRID:grid.6441.7) (ISNI:0000 0001 2243 2806)
5 University of Regensburg, Department for Epidemiology and Preventive Medicine, Regensburg, Germany (GRID:grid.7727.5) (ISNI:0000 0001 2190 5763)
6 Kiel University, Biobank PopGen and Institute of Epidemiology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986)
7 Kiel University, Institute of Epidemiology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986)
8 Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Research Unit of Molecular Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0)
9 Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525)