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Genetic correlation analysis within specific regions enables a new strategy for identifying pleiotropy. Genomic regions with significant \u2018local\u2019 genetic correlations can be investigated further using state-of-the-art methodologies for statistical fine-mapping and variant colocalisation. We explored the utility of a genome-wide local genetic correlation analysis approach for identifying genetic overlaps between the candidate neuropsychiatric disorders, Alzheimer\u2019s disease (AD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia, Parkinson\u2019s disease, and schizophrenia. The correlation analysis identified several associations between traits, the majority of which were loci in the human leukocyte antigen region. Colocalisation analysis suggested that disease-implicated variants in these loci often differ between traits and, in one locus, indicated a shared causal variant between ALS and AD. 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