Collective effects of human genomic variation on microbiome function.

Area of Science:

• Human genetics
• Microbiome research
• Systems biology

Background:

• Previous studies focused on single nucleotide polymorphisms (SNPs) individually.
• The collective impact of host genetics on microbiome function was underexplored.

Purpose of the Study:

• To assess the aggregate role of human genetics on gut microbiome composition and function.
• To develop a flexible, multivariate method for host-microbiome genetic interaction analysis.

Main Methods:

• Applied sparse canonical correlation analysis (sCCA), incorporating a Tweedie distribution for sparse metagenome data.
• Analyzed gut microbiomes and human variants from 250 individuals in the TwinsUK cohort.

Main Results:

• sCCA identified SNPs associated with microbiome-linked metabolic traits (BMI, blood pressure) and disorders (type 2 diabetes, neurological disorders, cancers).
• Both common and rare microbial functions, like secretion system proteins and antibiotic resistance, were linked to host genetics.
• sCCA revealed known (e.g., Bifidobacteria) and novel associations between microbial species abundances and host genetics.

Conclusions:

• The study presents a novel framework for examining host-microbiome genetic interactions.
• The findings highlight the significant, aggregate role of human genetics in shaping the gut microbiome's composition and function.