rs12141569 - ALPL

Magnitude 2.2 · 4 studies on file

Reported associations

• Genetic Association Analyses Highlight , , and As 3 New Susceptibility Genes Underlying Calcific Aortic Valve Stenosis. - Circulation. Genomic and precision medicine (2020) · Thériault S, Dina C, Messika-Zeitoun D, Le Scouarnec S, Capoulade R, Gaudreault N, Rigade S, Li Z, Simonet F, Lamontagne M, Clavel MA, Arsenault BJ, Boureau AS, Lecointe S, Baron E, Bonnaud S, Karakachoff M, Charpentier E, Fellah I, Roussel JC, Philippe Verhoye J, Baufreton C, Probst V, Roussel R, Redon R, Dagenais F, Pibarot P, Mathieu P, Le Tourneau T, Bossé Y, Schott JJ · PubMed 32141789

  Calcific aortic valve stenosis (CAVS) is a frequent and life-threatening cardiovascular disease for which there is currently no medical treatment available. To date, only 2 genes, and , have been identified as causal for CAVS. We aimed to identify additional susceptibility genes for CAVS. A GWAS (genome-wide association study) meta-analysis of 4 cohorts, totaling 5115 cases and 354 072 controls of European descent, was performed. A TWAS (transcriptome-wide association study) was completed to integrate transcriptomic data from 233 human aortic valves. A series of post-GWAS analyses were performed, including fine-mapping, colocalization, phenome-wide association studies, pathway, and tissue enrichment as well as genetic correlation with cardiovascular traits. In the GWAS meta-analysis, 4 l

• Genome-wide association study identifies novel variants in olfactory, vitamin A, vitamin B, and cadherin pathways associated with learning and memory - Unknown journal (n.d.) · Unknown authors · PubMed 41413636

  ABSTRACT: Learning and memory, as fundamental components of human cognition, are heritable traits that are highly variable between individuals and within populations. Investigation into the genetic basis of cognition is a prominent area of research, with genetic associations being previously reported for a wide range of cognitive phenotypes. Here we utilise a genome-wide association study (GWAS) approach to evaluate the contribution of genetic variation to learning and memory phenotypes in a comprehensively phenotyped, well-characterised, healthy, and unrelated cohort of individuals (n = 613). Cognitive phenotypes were assessed using nine comprehensive test batteries consisting of twenty-one cognitive performance assessments including IQ, five measures for visual and verbal learning, a

• Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk - Unknown journal (n.d.) · Unknown authors · PubMed 41419685

  ABSTRACT: The genetic influences on normal aortic valve function and their impact on aortic stenosis risk are of substantial interest. We used deep learning to measure peak velocity, mean gradient and aortic valve area from magnetic resonance imaging and conducted genome-wide association studies (GWAS) in 59,571 participants in the UK Biobank. Incorporating the aortic valve measurement GWAS with aortic stenosis GWAS using multitrait analysis of GWAS (MTAG), we identified 166 distinct loci (134 with aortic valve traits, 134 with aortic stenosis and 166 unique loci across all GWAS), including PCSK9 and LDLR. The MTAG aortic stenosis PGS was associated with aortic stenosis in All of Us (hazard ratio (HR) = 3.32 for top 5% versus all others, P = 8.8 × 10−22) and Mass General Bri

• Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction - Unknown journal (n.d.) · Unknown authors · PubMed 41419686

  ABSTRACT: Aortic stenosis (AS) is a common valvular heart disease and has no pharmacological therapies. We performed a multi-ancestry genome-wide association meta-analysis of 86,864 AS cases among 2,853,408 individuals, discovering 241 autosomal independent risk loci and 3 X chromosome risk loci. We additionally performed sex-stratified and ancestry-stratified genome-wide association studies (GWASs), identifying an additional 5 sex-specific risk loci, 11 risk loci in European ancestry individuals and 1 risk locus in African ancestry individuals. We also performed a transcriptome-wide association study using expression quantitative trait loci from human aortic valves, discovering 54 new genes for which genetically predicted expression influences the risk of AS. We then generated a new polyg

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