A genome wide search for non-additive allele effects identifies PSKH2 as involved in the variability of Factor V activity.
Gendre, B.; Martinez-Perez, A.; Kleber, M. E.; van Hylckama Vlieg, A.; Boland, A.; Olaso, R.; Germain, M.; Munsch, G.; Moissl, A. P.; Suchon, P.; Souto, J. C.; Soria Fernandez, J. m.; Deleuze, J.-F.; Marz, W.; Rosendaal, F.; Sabater-Lleal, M.; Morange, P. E.; Tregouet, D.-A.
Show abstract
BackgroundFactor V (FV) is a key molecular player in the coagulation cascade. FV plasma levels have been associated with several human diseases, including thrombosis, bleeding and diabetic complications. So far, two genes have been robustly found through genome wide association analyses to contribute in the inter-individual variability of plasma FV levels: structural F5 gene and PLXDC2. MethodsWe used the underestimated Brown-Forsythe methodology implemented in the Quicktest software to search for non-additive genetic effects that could contribute to the inter-individual variability of FV plasma activity. QUICKTEST was applied to 4 independent GWAS studies (LURIC, MARTHA, MEGA and RETROVE) totaling 4,505 participants of European ancestry with measured FV plasma levels. Results obtained in the 4 cohorts were meta-analyzed using a fixed-effect model. Additional analyses involved exploring haplotype and genexgene interactions in downstream investigations. ResultsWe observed a genome-wide significant signal at PSKH2 locus, on chr8q21.3 with lead variant rs75463553 with no evidence for heterogeneity across cohorts (p = 0.518). Although rs75463553 did not show association with mean FV levels (p = 0.49), it demonstrated a robust significant (p = 8.4 10-9) association with the variance of FV plasma levels. Further analyses confirmed the reported association of PSKH2 with neutrophil biology and revealed that rs75463553 likely interact with two loci, GRIN2A and POM121L12, known for their involvement in smoking biology. ConclusionsThis comprehensive approach identifies the role of PSKH2 as a novel molecular player in the genetic regulation of FV, shedding light on the contribution of neutrophils to FV biology.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Poking COVID-19: insights on genomic constraints among immune-related genes between Qatari and Italian populations 93%
- A genome-wide association study of anti-Müllerian hormone (AMH) levels in Samoan women 92%
- Exploring the impact of mitonuclear discordance on disease in Latin American admixed populations 92%
Similar papers in this journal
- Mendelian Randomization Study of Whole Blood Viscosity and Cardiovascular Diseases 94%
- COVID-19 susceptibility variants associate with blood clots, thrombophlebitis and circulatory diseases 94%
- Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial 93%
Similar papers in this journal
- Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity 92%
- Increased ultra-rare variant load in an isolated Scottish population impacts exonic and regulatory regions 92%
- Large scale sequence-based screen for recessive variants allows for identification and monitoring of rare deleterious variants in pigs 91%
Similar papers in this journal
- Similarity and diversity of genetic architecture for complex traits between East Asian and European populations 94%
- An individualized Bayesian method for estimating genomic variants of hypertension 92%
- A nonsense mutation of bone morphogenetic protein-15 (BMP15) causes both infertility and increased litter size in pigs. 91%
Similar papers in this journal
- An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism 94%
- Controlling for Human Population Stratification in Rare Variant Association Studies 94%
- Genetic profiling of Vietnamese population from large-scale genomic analysis of non-invasive prenatal testing data 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.