rs12232375 - ZFPM1
Magnitude 2.2 · 5 studies on file
Reported associations
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Leveraging Polygenic Functional Enrichment to Improve GWAS Power. - American journal of human genetics (2019) · Kichaev G, Bhatia G, Loh PR, Gazal S, Burch K, Freund MK, Schoech A, Pasaniuc B, Price AL · PubMed 30595370
Functional genomics data has the potential to increase GWAS power by identifying SNPs that have a higher prior probability of association. Here, we introduce a method that leverages polygenic functional enrichment to incorporate coding, conserved, regulatory, and LD-related genomic annotations into association analyses. We show via simulations with real genotypes that the method, functionally informed novel discovery of risk loci (FINDOR), correctly controls the false-positive rate at null loci and attains a 9%-38% increase in the number of independent associations detected at causal loci, depending on trait polygenicity and sample size. We applied FINDOR to 27 independent complex traits and diseases from the interim UK Biobank release (average N = 130K). Averaged across traits, we attaine
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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%
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Genetic architecture of plasma pTau217 and related biomarkers in Alzheimer's disease via genome‐wide association studies - Unknown journal (n.d.) · Unknown authors · PubMed 41804841
ABSTRACT: Abstract INTRODUCTION We aimed to define the genetic architecture and regulatory mechanisms of Alzheimer's disease (AD) ‐related plasma biomarkers in an East Asian population. METHODS Genome‐wide association studies (GWAS) of plasma phosphorylated tau at threonine 217 (pTau217), pTau181, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were performed in 1,972 individuals from the Korea‐Registries to Overcome and Accelerate Dementia Research (K‐ROAD) cohort. Results were integrated with Korean single‐nucleus transcriptomics, AD‐relevant brain quantitative trait loci resources, and summary‐based Mendelian randomization (SMR) and colocalization analyses. RESULTS Genome‐wide significant loci were identified for all biomarkers, including DACT
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The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease - Unknown journal (n.d.) · Unknown authors · PubMed 27863252
ABSTRACT: Summary Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we
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The Polygenic and Monogenic Basis of Blood Traits and Diseases - Unknown journal (n.d.) · Unknown authors · PubMed 32888494
ABSTRACT: Summary Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering v
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