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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Genome-wide meta-analysis identifies genetic risk loci for mono- and polyneuropathies in 983 477 individuals
Martin Broberg1,2, Finn Gen, Eija Kalso3
1Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Tukholmankatu 8, 00290 Helsinki, Finland.
Abstract:
Peripheral neuropathies are common neurological disorders affecting sensory, autonomic, and motor nerves, with an estimated prevalence exceeding 2% in the general population. Typical symptoms include numbness and distal limb muscle weakness, resulting from somatosensory nerve damage. Here, we investigate the genetic architecture of mono- and polyneuropathies and their relationships with comorbid traits using data from FinnGen and the UK Biobank. Our genome-wide association study (GWAS) and meta-analysis identified 48 genome-wide significant (P < 5 × 10-8) independent loci and 66 fine-mapped credible sets. These included associations with genes involved in neurotransmitter signaling (HTR3A), immune function (HLA-DQB1, BCL11A), extracellular matrix remodeling (COL11A1, ADAMTS17, LOXL4), axon guidance and neural development (DCC, ETV1, NEGR1), and carpal tunnel syndrome (DIRC3). Public variant association data across cohorts, genetic correlation, and Mendelian randomization analyses supported shared genetic links of neuropathies with sleep problems, chronic pain, and psychiatric disorders. Together, our results highlight a strong polygenic basis for neuropathies and further confirm their genetic comorbid relationships with sleep, pain, psychiatric, and autoimmune traits.
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