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Hace 5 días · Protein Isoforms. Neuropsychiatric genome-wide association studies (GWASs), including those for autism spectrum disorder and schizophrenia, show strong enrichment for regulatory elements in the developing brain. However, prioritizing risk genes and mechanisms is challenging without a unified regulatory atlas. Across ….
Hace 19 horas · Genome-wide association studies of brain imaging phenotypes are mainly performed in European populations, but other populations are severely under-represented. Here, we conducted Chinese-alone and ...
Hace 19 horas · The current study suggests that youth with autism-associated variants from a range of demographic backgrounds may generally access similar therapeutic services; however, the low receipt of therapies that specifically address core support needs in autism (i.e., behavior therapy) indicates more research is needed on the availability of these services, particularly for those youth who do not meet ...
Hace 5 días · Rich data from large biobanks, coupled with increasingly accessible association statistics from genome-wide association studies (GWAS), provide great opportunities to dissect the complex relationships among human traits and diseases. We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide association scans.
Hace 2 días · A 2009 pair of genome-wide association studies found an association between autism and six single-nucleotide polymorphisms in an intergenic region between CDH10 (cadherin 10) and CDH9 (cadherin 9). These genes encode neuronal cell-adhesion molecules, implicating these molecules in the mechanism of autism.
Hace 5 días · Polygenic risk score (PRS) correlation matrix for the 48 traits identified in marginal association analysis. Trait categories and association directions with Alzheimer’s disease (AD) are annotated. The dendrogram indicates the results of hierarchical clustering. We used 1000 genome samples with European ….
Hace 3 días · PLINK 2.0's linear regression 'only' tends to be a few hundred times as fast as PLINK 1.9 when you analyze one quantitative phenotype at a time. But --glm also has a quantitative-phenotype-group optimization that can multiply the speedup by another factor of ~10.
