The genetic architecture of the human anterior commissure and its potential role as biomarker of neurodegeneration

Abstract Background Commissural tracts are the white matter fibre bundles intercommunicating left and right brain hemispheres. They integrate many cognitive functions such as memory, verbal processing, motor and perceptual skills. Also, commissures connect specific layers of cortical neurons that are also lost in Alzheimer’s disease (AD) and other neurodegenerative disorders. Although highly heritable, commissures´ specific genetic determinants remain obscure. We aim to investigate the genetic determinants of the human anterior commissure. Given its presumed role in neurodegeneration, we aim to further provide mechanistic insights into neurological conditions that may result from its dysfunction. Method Two‐stage genome‐wide association study, (GWAS) (N=18,828) of the size of the anterior commissure. The discovery sample included seven cohorts (N=7,935) and was meta‐analyzed with ten replication cohorts (N=10,893). The size of the anterior commissure was manually derived from magnetic resonance imaging (1.5T/3T) with at least T1/T2‐weighted sequences. The genetic data was assessed through genotyping using SNP microarrays. We used voxel‐based morphometry to determine which regions are connected by the anterior commissure. To prove a functional validation of the identified variants, we performed a series of in silico experiments, including the study of the spatial expression patterns in human brains, quantitative trait loci (QTL), enrichment analysis and pleiotropy with neurodegenerative diseases. Result we identified six independent variants at four loci (p‐values from 4.1x10‐8 to 9.4x10‐22). We mapped the loci to probable causal genes involved in axon guidance ( EPHA3 and SEMA6A ), cognitive disorders ( CTNND2 ), and growth factor signaling ( RIT2 ). Voxel‐based morphometry revealed distinct associations of the variants with connected grey matter regions in the brain. We found enrichment for H3K4me1 peaks (marking enhancer sites), introns, and conserved sequences, as well as cell‐type‐specific annotations from the central nervous system and cardiovascular system. Furthermore, we identified pleiotropy between genes known to increase risk of neurodegenerative conditions including frontotemporal lobar degeneration gene TMEM106B . Variants associated to this gene have been related to dementia development. Conclusion these results shed light on the genetic architecture of commissural tracts and establish the size of the anterior commissure as a relevant biomarker of neurodegeneration.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.085587
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The genetic architecture of the human anterior commissure and its potential role as biomarker of neurodegeneration

Hieab H.H. Adams, Carolina Ochoa‐Rosales
Alzheimer s & Dementia
Advanced Neuroimaging Techniques and Applications
article

The genetic architecture of the human anterior commissure and its potential role as biomarker of neurodegeneration

Hieab H.H. Adams, Carolina Ochoa‐Rosales
article en

Abstract

Abstract Background Commissural tracts are the white matter fibre bundles intercommunicating left and right brain hemispheres. They integrate many cognitive functions such as memory, verbal processing, motor and perceptual skills. Also, commissures connect specific layers of cortical neurons that are also lost in Alzheimer’s disease (AD) and other neurodegenerative disorders. Although highly heritable, commissures´ specific genetic determinants remain obscure. We aim to investigate the genetic determinants of the human anterior commissure. Given its presumed role in neurodegeneration, we aim to further provide mechanistic insights into neurological conditions that may result from its dysfunction. Method Two‐stage genome‐wide association study, (GWAS) (N=18,828) of the size of the anterior commissure. The discovery sample included seven cohorts (N=7,935) and was meta‐analyzed with ten replication cohorts (N=10,893). The size of the anterior commissure was manually derived from magnetic resonance imaging (1.5T/3T) with at least T1/T2‐weighted sequences. The genetic data was assessed through genotyping using SNP microarrays. We used voxel‐based morphometry to determine which regions are connected by the anterior commissure. To prove a functional validation of the identified variants, we performed a series of in silico experiments, including the study of the spatial expression patterns in human brains, quantitative trait loci (QTL), enrichment analysis and pleiotropy with neurodegenerative diseases. Result we identified six independent variants at four loci (p‐values from 4.1x10‐8 to 9.4x10‐22). We mapped the loci to probable causal genes involved in axon guidance ( EPHA3 and SEMA6A ), cognitive disorders ( CTNND2 ), and growth factor signaling ( RIT2 ). Voxel‐based morphometry revealed distinct associations of the variants with connected grey matter regions in the brain. We found enrichment for H3K4me1 peaks (marking enhancer sites), introns, and conserved sequences, as well as cell‐type‐specific annotations from the central nervous system and cardiovascular system. Furthermore, we identified pleiotropy between genes known to increase risk of neurodegenerative conditions including frontotemporal lobar degeneration gene TMEM106B . Variants associated to this gene have been related to dementia development. Conclusion these results shed light on the genetic architecture of commissural tracts and establish the size of the anterior commissure as a relevant biomarker of neurodegeneration.

Alzheimer s & DementiaVol. 20(S2)
Radboud University Nijmegen (NL), Adolfo Ibáñez University (CL), Radboud University Medical Center (NL)
Quality Education
Openalex Percentile: Top 58%
Advanced Neuroimaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.