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Venous thromboembolism (VTE) is a leading cause of morbidity and mortality. Although many genetic risk factors have been identified, a substantial portion of the heritability remains unexplained. Here we employ genome wide association study (GWAS) VTE across 9 international cohorts of the Global Biobank Meta-analysis Initiative (GBMI) to address this question, along with in vivo functional validation. The multi-population GWAS (VTE cases=27,987, controls=1,035,290) resulted in 38 genome-wide significant loci, 4 of which are potentially novel. For each autosomal locus we performed gene prioritization using seven independent, yet converging, lines of evidence. Through prioritization we identified genes associated with VTE through GWAS and/or functional studies (e.g., F5, F11, VWF, STAB2, PLCG2, TC2N), functionally validated those that did not have evidence other than GWAS (TC2N, TSPAN15), and discovered one not previously associated with coagulation (RASIP1). We evaluated the function of six prioritized genes with strong genetic evidence, including F7 as a positive control, using laser-mediated endothelial injury to induce thrombosis in zebrafish after CRISPR/Cas9 knockdown. From this assay we have supportive evidence for a role of RASIP1 and TC2N in the modification of human VTE, and suggestive evidence for STAB2 and TSPAN15. This study expands the currently identified genomic architecture of VTE through biobank-based multi-population GWAS, in silico candidate gene predictions, and in vivo functional follow-up of candidate genes.
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http://dx.doi.org/10.1182/bloodadvances.2024015790 | DOI Listing |
Genes (Basel)
August 2025
State Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Background: Genome-wide association studies (GWAS) have been extensively employed to elucidate the genetic architecture of body weight (BW) traits in chickens, which represent key economic indicators in broiler production. With the growing availability of genomic data from diverse commercial and resource chicken populations, a critical challenge lies in how to effectively integrate these datasets to enhance sample size and thereby improve the statistical power for detecting genetic variants associated with complex traits.
Methods: In this study, we performed a multi-population GWAS meta-analysis on BW traits across three genetically distinct chicken populations, focusing on BW at 56, 70, and 84 days of age: P1 (N301 Yellow Plumage Dwarf Chicken Line; = 426), P2 (F2 reciprocal cross: High Quality Line A × Huiyang Bearded chicken; = 494), and P3 (F2 cross: Black-bone chicken × White Plymouth Rock; = 223).
BMC Genomics
August 2025
Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China.
Genomic selection (GS) has become an essential tool for improving economically important traits in pigs. However, its accuracy depends heavily on the size and composition of the reference population. This study explores strategies for optimizing multi-population genomic evaluations by integrating prior biological knowledge and leveraging advanced genomic models.
View Article and Find Full Text PDFInt J Stroke
August 2025
Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Introduction: Intracranial large artery stenosis (ILAS) is one of the most common causes of stroke worldwide and is associated with the risk for future vascular events. Asymptomatic ILAS is a frequent finding on neuroimaging and shares many risk factors with atherosclerotic vascular disease. Whether asymptomatic ILAS is driven by genetic variants is not well-understood.
View Article and Find Full Text PDFmedRxiv
June 2025
Department of Dermatology, Minneapolis VA Medical Center, Minneapolis, MN, USA.
Background: Data from family and twin studies as well as prior genome-wide association meta-analyses suggest that hidradenitis suppurativa (HS) has a hereditary component.
Objective: Identify genetic variants associated with HS.
Methods: A case-control genome-wide association study (GWAS) was performed on participants with a diagnosis of HS defined as at least one instance of ICD9 705.
bioRxiv
June 2025
Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Many multi-population polygenic risk score (PRS) methods have been proposed to improve prediction accuracy in underrepresented populations; however, no single method outperforms other methods across all data scenarios. Although integrating PRS results across multiple methods and populations may lead to more accurate predictions, this approach may be limited by the availability of individual-level tuning data to calculate combination weights. In this manuscript, we introduce MIXPRS, a robust PRS integration framework based on data fission principles, to effectively combine multiple multi-population PRS methods using only genome-wide association study (GWAS) summary statistics from multiple populations.
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