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Tonnele, H.

Publications and source records attributed to Tonnele, H..

2 recordsLinked to original sources

Phenome-wide genetic framework to identify mechanisms of social effects

Phenotypes are shaped not only by an individuals genotype (direct genetic effects, DGE) and environment but also by the genetic composition of social partners through indirect genetic effects (IGE). Although IGE have been detected across many traits and species, their mechanisms remain largely unknown, particularly for physiological traits. Here we introduce a phenome-wide genetic framework that identifies proxy phenotypes for the heritable traits of social partners mediating IGE by estimating genetic correlations between IGE on focal phenotypes and DGE on measured traits. Applying this approach to two large, outbred mouse datasets comprising hundreds of behavioural and physiological phenotypes, we find that behavioural traits are neither more affected by IGE nor better proxies for the traits mediating them, challenging the prevailing behavioural-centric view of social effects. Instead, immune, metabolic and growth phenotypes are both affected by IGE and informative proxies for their underlying mechanisms, potentially reflecting the social transmission of gut microbes. Our framework provides a novel strategy to better understand the genetic basis of complex traits and uncover mechanisms of social effects.

genetics↗

Novel insights into the genetic architecture and mechanisms of host/microbiome interactions from a multi-cohort analysis of outbred laboratory rats

The intestinal microbiome influences health and disease. Its composition is affected by host genetics and environmental exposures. Understanding host genetic effects is critical but challenging in humans, due to the difficulty of detecting, mapping and interpreting them. To address this, we analysed host genetic effects in four cohorts of outbred laboratory rats exposed to distinct but controlled environments. We found that polygenic host genetic effects were consistent across environments. We identified three replicated microbiome-associated loci, one of which involved a sialyltransferase gene and Paraprevotella. We found a similar association in a human cohort, between ST6GAL1 and Paraprevotella, both of which have been linked with immune and infectious diseases. Moreover, we found evidence of indirect genetic effects on microbiome phenotypes, which substantially increased their total genetic variance. Finally, we identified a novel mechanism whereby indirect genetic effects can contribute to "missing heritability".

genetics↗