Unknown

Dataset Information

Local patterns of genetic sharing challenge the boundaries between neuropsychiatric and insulin resistance-related conditions.


ABSTRACT: The co-occurrence of insulin resistance (IR)-related metabolic conditions with neuropsychiatric disorders is a complex public health challenge. Evidence of the genetic links between these phenotypes is emerging, but little is currently known about the genomic regions and biological functions that are involved. To address this, we performed Local Analysis of [co]Variant Association (LAVA) using large-scale (N=9,725-933,970) genome-wide association studies (GWASs) results for three IR-related conditions (type 2 diabetes mellitus, obesity, and metabolic syndrome) and nine neuropsychiatric disorders. Subsequently, positional and expression quantitative trait locus (eQTL)-based gene mapping and downstream functional genomic analyses were performed on the significant loci. Patterns of negative a

SUBMITTER: Fanelli G 

PROVIDER: S-EPMC10942494 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature