rs11033603 - PRR5L
Magnitude 2.2 · 2 studies on file
Reported associations
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Uniting biobank resources reveals novel genetic pathways modulating susceptibility for atopic dermatitis. - The Journal of allergy and clinical immunology (2022) · Sliz E, Huilaja L, Pasanen A, Laisk T, Reimann E, Mägi R, Hannula-Jouppi K, Peltonen S, Salmi T, Koulu L, Tasanen K, Kettunen J · PubMed 34454985
Atopic dermatitis (AD) is a common chronic inflammatory skin disease with high heritability. Previous genome-wide association studies have identified several loci predisposing to AD. These findings explain approximately 30% of the variance in AD susceptibility, suggesting that further work is required to fully understand the genetic underpinnings. We sought to gain additional understanding of the genetic contribution to AD risk by using biobank resources. We completed a genome-wide meta-analysis of AD in 796,661 individuals (N = 22,474) from the FinnGen study, the Estonian Biobank, and the UK Biobank. We further performed downstream in silico analyses to characterize the risk variants at the novel loci. We report 30 loci associating with AD (P < 5 × 10 ), 5 of which are novel. In 2 of
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Novel genetic insight for psoriasis: integrative genome-wide analyses in 863 080 individuals and proteome-wide Mendelian randomization - Unknown journal (n.d.) · Unknown authors · PubMed 39883516
ABSTRACT: Abstract Psoriasis affects a significant proportion of the worldwide population and causes an extremely heavy psychological and physical burden. The existing therapeutic schemes have many deficiencies such as limited efficacies and various side effects. Therefore, novel ways of treating psoriasis are urgently needed. A large-scale meta-analysis of psoriasis genome-wide association studies (GWAS) totaling 20 105 cases and 842 975 controls was conducted. Based on the GWAS results, Mendelian randomization (MR) analyses were then performed on three cis-protein quantitative trait loci (pQTL) data in blood. Furthermore, druggability verification and mouse knock-out models were utilized to explore the clinical value of screened proteins. We identified 42 genome-wide significant psoria
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