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A bidimensional echocardiographic study]
The Cerebrospinal Fluid (CSF) Metabolite Data full GWAS meta-analysis summary statistics may be accessed at ftp: The Modifiable Risk Factors Data were sourced from the MRC Integrative Epidemiology Unit (IEU) and are available via the following link: PheWAS phenotype data were obtained from six major databases, which can be accessed via the following links: MRC-IEU ( FinnGen r10 ( UKB-SAIGE ( UKB-TOPMed ( Neale Lab ( and Neale Lab (Pan UKB) ( Abbreviations GWAS: Genome-wide association studies TWAS: Transcriptome-wide association studies PWAS: Proteome-wide association studies SNP: Single nucleotide polymorphism CGRP: Calcitonin gene-related peptide QTL: Quantitative trait loci MR: Mendelian randomization SMR: Summary-based MR PheWAS: Phenome-wide association studies HEIDI: Heterogeneity in Dependent Instruments GERA: Genetic Epidemiology Research on Adult Health and Aging UKB: UK Biobank ICD-10: International Classification of Diseases, Tenth Revision CLSA: Canadian Longitudinal Study on Aging UPLC-MS/MS: Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry WADRC: Wisconsin Alzheimers Disease Research Center WRAP: Wisconsin Registry for Alzheimers Prevention CSF: Cerebrospinal fluid MRC-IEU: Medical Research Council Integrative Epidemiology Unit LDL: Low-density lipoprotein HDL: High-density lipoprotein SAIGE: Scalable and Accurate Implementation of Generalized mixed model TOPMed: Trans-Omics for Precision Medicine FDR: False Discovery Rate OR: Odds ratio PP: Posterior probabilities IVW: Inverse Variance Weighte LD: Linkage disequilibrium 3-CMPFP: 3-Carboxy-4-methyl-5-pentyl-2-furanpropanoate IRAG1: IP3 Receptor-Associated cGMP Kinase Substrate References Safiri S, Pourfathi H, Eagan A, Mansournia MA, Khodayari MT, Sullman MJM et al (2022) Global, regional, and national burden of migraine in 204 countries and territories, 1990 to 2019
All values were log2 transformed and normalized to the median intensity within each sample
Top-line data is expected in mid-2028
A nested case-control study of association between metabolome and hypertension risk
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