bioRxivNeurosciencePreprint
Genetic variation in CSMD1 affects amygdala connectivity and prosocial behavior
Kevin C. BickartiD, Valerio NapolioniiD, Raiyan Rashid KhaniD, Yongha Kim, André AltmanniD, Jonas RichiardiiD, Megan R. NewsomiD, Sepideh SadaghianiiD, Tobias BanaschewskiiD, Arun L.W. BokdeiD, EB Quinlan, Sylvane DesrivièresiD, Herta FloriD, Hugh GaravaniD, Penny Anne GowlandiD, Andreas HeinziD, Bernd IttermanniD, Jean‐Luc MartinotiD, M. L. Paillère-Martinot, Eric Artiges AiD, Frauke NeesiD, Dimitri Papadopoulos OrfanosiD, Tomáš PausiD, Luise PoustkaiD, Juliane Hilde FröhneriD, , Michael D. GreiciusiD
Abstract
The amygdala is one of the most widely connected structures in the primate brain and plays a key role in social and emotional behavior. Here, we present the first genome-wide association study (GWAS) of whole-brain resting-state amygdala networks to discern whether connectivity in these networks could serve as an endophenotype for social behavior. Leveraging published resting-state amygdala networks as a priori endophenotypes in a GWAS meta-analysis of two adolescent cohorts, we identified a common polymorphism on chr.8p23.2 (rs10105357 A/G, MAF (G)=0.35) associated with stronger connectivity in the medial amygdala network (beta=0.20, p=2.97x10-8). This network contains regions that support reward processes and affiliative behavior. People carrying two copies of the minor allele for rs10105357 participate in more prosocial behaviors (t=2.644, p=0.008) and have higher CSMD1 expression in the temporal cortex (t=3.281, p=0.002) than people with one or no copy of the allele. In post-mortem brains across the lifespan, we found that CSMD1 expression is relatively high in the amygdala (2.79 fold higher than white matter, p=1.80x10-29), particularly so for nuclei in the medial amygdala, reaching a maximum in later stages of development. Amygdala network endophenotyping has the potential to accelerate genetic discovery in disorders of social function, such as autism, in which CSMD1 may serve as a diagnostic and therapeutic target.
- organism: human
- assay: bulk RNA-seq
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 3
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