Lundberg, M., Eriksson, A., Tran, B., Assarsson, E. Nucleic acid ligands with protein-like side chains: modified aptamers and their use as diagnostic and therapeutic agents. Genetics meets proteomics: perspectives for large population-based studies. Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals. Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease. Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease. Co-regulatory networks of human serum proteins link genetics to disease. Genomic atlas of the human plasma proteome. Connecting genetic risk to disease end points through the human blood plasma proteome. 15 years of genome-wide association studies and no signs of slowing down. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. We used R (version 3.6.0) extensively to analyze data and create plots. We used publicly available software (URLs are listed below) in conjunction with the above described algorithms in the sequence-processing pipeline (whole-genome sequencing, association testing and RNA sequencing mapping and analysis): BWA-MEM version 0.7.10, GenomeAnalysisTKLite version 2.3.9, Picard tools version 1.117, SAMtools version 1.3, bedtools version 2.25.0-76-g5e7c696z, Variant Effect Predictor (release 100), BOLT-LMM version 2.1, IMPUTE2 version 2.3.1, dbSNP version 140, BiNGO version 3.0.3, Cytoscape version 3.7.1. Combining proteomics, genomics and transcriptomics, we provide a valuable resource that can be used to improve understanding of disease pathogenesis and to assist with drug discovery and development. We identified 938 genes encoding potential drug targets with variants that influence levels of possible biomarkers. We integrated pQTL and genetic associations with diseases and other traits and found that 12% of 45,334 lead associations in the GWAS Catalog are with variants in high linkage disequilibrium with pQTL. We tested plasma protein levels for association with 373 diseases and other traits and identified 257,490 associations. We found 18,084 associations between sequence variants and levels of proteins in plasma (protein quantitative trait loci pQTL), of which 19% were with rare variants (minor allele frequency (MAF) < 1%). Here we describe genome-wide association studies (GWASs) of plasma protein levels measured with 4,907 aptamers in 35,559 Icelanders. The plasma proteome can help bridge the gap between the genome and diseases. Nature Genetics volume 53, pages 1712–1721 ( 2021) Cite this article Large-scale integration of the plasma proteome with genetics and disease
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |