Michael W Lutz1, Sheng Luo2, Douglas E Williamson3,4,5, Ornit Chiba-Falek1,6. 1. Division of Translational Brain Sciences, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA. 2. Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA. 3. Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina, USA. 4. Research Service, Durham VA Medical Center, Durham, North Carolina, USA. 5. Center for Applied Genomics and Precision Medicine, Duke University Medical Center, Durham, North Carolina, USA. 6. Center for Genomic and Computational Biology, Duke University Medical Center, Durham, North Carolina, USA.
Abstract
INTRODUCTION: Late-onset Alzheimer's disease (LOAD) manifests comorbid neuropsychiatric symptoms and posttraumatic stress disorder (PTSD) is associated with an increased risk for dementia in late life, suggesting the two disorders may share genetic etiologies. METHODS: We performed genetic pleiotropy analysis using LOAD and PTSD genome-wide association study (GWAS) datasets from white and African-American populations, followed by functional-genomic analyses. RESULTS: We found an enrichment for LOAD across increasingly stringent levels of significance with the PTSD GWAS association (LOAD|PTSD) in the discovery and replication cohorts and a modest enrichment for the reverse conditional association (PTSD|LOAD). LOAD|PTSD association analysis identified and replicated the MS4A genes region. These genes showed similar expression pattern in brain regions affected in LOAD, and across-brain-tissue analysis identified a significant association for MS4A6A. The African-American samples showed moderate enrichment; however, no false discovery rate-significant associations. DISCUSSION: We demonstrated common genetic signatures for LOAD and PTSD and suggested immune response as a common pathway for these diseases.
INTRODUCTION: Late-onset Alzheimer's disease (LOAD) manifests comorbid neuropsychiatric symptoms and posttraumatic stress disorder (PTSD) is associated with an increased risk for dementia in late life, suggesting the two disorders may share genetic etiologies. METHODS: We performed genetic pleiotropy analysis using LOAD and PTSD genome-wide association study (GWAS) datasets from white and African-American populations, followed by functional-genomic analyses. RESULTS: We found an enrichment for LOAD across increasingly stringent levels of significance with the PTSD GWAS association (LOAD|PTSD) in the discovery and replication cohorts and a modest enrichment for the reverse conditional association (PTSD|LOAD). LOAD|PTSD association analysis identified and replicated the MS4A genes region. These genes showed similar expression pattern in brain regions affected in LOAD, and across-brain-tissue analysis identified a significant association for MS4A6A. The African-American samples showed moderate enrichment; however, no false discovery rate-significant associations. DISCUSSION: We demonstrated common genetic signatures for LOAD and PTSD and suggested immune response as a common pathway for these diseases.
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