Unknown

Dataset Information

0

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks.


ABSTRACT: Functional connectivity within resting-state networks (RSN-FC) is vital for cognitive functioning. RSN-FC is heritable and partially translates to the anatomic architecture of white matter, but the genetic component of structural connections of RSNs (RSN-SC) and their potential genetic overlap with RSN-FC remain unknown. Here, we perform genome-wide association studies (N discovery = 24,336; N replication = 3412) and annotation on RSN-SC and RSN-FC. We identify genes for visual network-SC that are involved in axon guidance and synaptic functioning. Genetic variation in RSN-FC impacts biological processes relevant to brain disorders that previously were only phenotypically associated with RSN-FC alterations. Correlations of the genetic components of RSNs are mostly observed within the functional domain, whereas less overlap is observed within the structural domain and between the functional and structural domains. This study advances the understanding of the complex functional organization of the brain and its structural underpinnings from a genetics viewpoint.

SUBMITTER: Tissink E 

PROVIDER: S-EPMC10089056 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks.

Tissink Elleke E   Werme Josefin J   de Lange Siemon C SC   Savage Jeanne E JE   Wei Yongbin Y   de Leeuw Christiaan A CA   Nagel Mats M   Posthuma Danielle D   van den Heuvel Martijn P MP  

eNeuro 20230410 4


Functional connectivity within resting-state networks (RSN-FC) is vital for cognitive functioning. RSN-FC is heritable and partially translates to the anatomic architecture of white matter, but the genetic component of structural connections of RSNs (RSN-SC) and their potential genetic overlap with RSN-FC remain unknown. Here, we perform genome-wide association studies (<i>N</i> <sub>discovery</sub> = 24,336; <i>N</i> <sub>replication</sub> = 3412) and annotation on RSN-SC and RSN-FC. We identif  ...[more]

Similar Datasets

| S-EPMC5709368 | biostudies-literature
| S-EPMC2634800 | biostudies-literature
| S-EPMC7670639 | biostudies-literature
| S-EPMC3382730 | biostudies-literature
| S-EPMC3739917 | biostudies-literature
| S-EPMC3980132 | biostudies-literature
| S-EPMC4501762 | biostudies-literature
| S-EPMC8429261 | biostudies-literature
| S-EPMC8672309 | biostudies-literature
| S-EPMC3741391 | biostudies-literature