Nature CommunicationsNeurosciencePeer-reviewed journal article
Using rare genetic mutations to revisit structural brain asymmetry
Jakub KopáliD, Kuldeep KumariD, Kimia ShafighiiD, Karin SaltouniD, Claudia ModenatoiD, Clara A. MoreauiD, Guillaume HuguetiD, Martineau Jean‐LouisiD, Charles-Olivier MartiniD, Zohra SaciiD, Nadine Younis, Elise A. DouardiD, Khadijé JiziiD, Alexis Beauchamp-Châtel, Leila KushaniD, Ana Isabel SilvaiD, Marianne B. M. van den BreeiD, David E.J. LindeniD, Michael John OweniD, Jérémy HalliD, Sarah LippéiD, Bogdan DraganskiiD, Ida Elken SønderbyiD, Ole A. AndreasseniD, David C. GlahniD, , Danilo BzdokiD
Abstract
Asymmetry between the left and right brain is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variant studies, which typically exert small effects on brain phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We quantitatively dissected the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior mapping highlights the consequences of genetically controlled brain lateralization on human-defining cognitive traits.
- organism: human
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 10
- FWCI
- 2.43
- Field percentile
- top 12%
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