Expressive

rs10847864 - HIP1R

Magnitude 2.2 · 5 studies on file

Reported associations

  • Genetic risk loci for Parkinson's disease and dementia in a large-scale population-based Taiwanese cohort (TPMI) - Unknown journal (n.d.) · Unknown authors · PubMed 41810385

    ABSTRACT: Summary Background The genetic architecture of Parkinson's disease (PD) and progression to PD dementia (PDD) remains incompletely characterized in Asians. Here, we investigated genetic risk factors for PD and PDD in Taiwanese individuals from the Taiwan Precision Medicine Initiative (TPMI), the largest non-European cohort integrating genetic and electronic medical record data. Methods We conducted a two-stage population-based case-control genome-wide association study (GWAS) with a 1:10 case-to-control ratio. Results were meta-analyzed with an independent Asian GWAS. We further constructed a polygenic risk score (PRS) to distinguish PD cases from controls. PDD risk was assessed using logistic regression and Cox models, with replication in an independent cohort that underwent wh

  • A scalable variational inference approach for increased mixed-model association power - Unknown journal (n.d.) · Unknown authors · PubMed 39789286

    ABSTRACT: The rapid growth of modern biobanks is creating new opportunities for large-scale genome-wide association studies (GWASs) and the analysis of complex traits. However, performing GWASs on millions of samples often leads to trade-offs between computational efficiency and statistical power, reducing the benefits of large-scale data collection efforts. We developed Quickdraws, a method that increases association power in quantitative and binary traits without sacrificing computational efficiency, leveraging a spike-and-slab prior on variant effects, stochastic variational inference and graphics processing unit acceleration. We applied Quickdraws to 79 quantitative and 50 binary traits in 405,088 UK Biobank samples, identifying 4.97% and 3.25% more associations than REGENIE and 22.71%

  • Multi-ancestry genome-wide association meta-analysis of Parkinson's disease - Unknown journal (n.d.) · Unknown authors · PubMed 38155330

    ABSTRACT: Although over 90 independent risk variants have been identified for Parkinson's disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson's disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in th

  • Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson's disease in Chinese population - Unknown journal (n.d.) · Unknown authors · PubMed 36759515

    ABSTRACT: Genome-wide association studies (GWASs) have identified numerous susceptibility loci for Parkinson's disease (PD), but its genetic architecture remains underexplored in populations of non-European ancestry. To identify genetic variants associated with PD in the Chinese population, we performed a GWAS using whole-genome sequencing (WGS) in 1,972 cases and 2,478 controls, and a replication study in a total of 8209 cases and 9454 controls. We identified one new risk variant rs61204179 (Pcombined = 1.47 × 10−9) with low allele frequency, four previously reported risk variants (NUCKS1/RAB29-rs11557080, SNCA-rs356182, FYN-rs997368, and VPS13C-rs2251086), as well as three risk variants in LRRK2 coding region (A419V, R1628P, and G2385R) with genome-wide significance (P <

  • Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-genome wide association study - Unknown journal (n.d.) · Unknown authors · PubMed 31701892

    ABSTRACT: SUMMARY Background Genome-wide association studies (GWASs) in Parkinson's disease (PD) have increased the scope of biological knowledge about the disease over the past decade. We sought to use the largest aggregate of GWAS data to identify novel risk loci and gain further insight into disease etiology. Methods We performed the largest meta-GWAS of PD to date, involving the analysis of 7.8M SNPs in 37.7K cases, 18.6K UK Biobank proxy-cases (having a first degree relative with PD), and 1.4M controls. We carried out a meta-analysis of this GWAS data to nominate novel loci. We then evaluated heritable risk estimates and predictive models using this data. We also utilized large gene expression and methylation resources to examine possible functional consequences as well as tissue, c

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