Whole-genome sequencing analysis of the cardiometabolic proteome
| Autor: | Grace Png, Emmanouil Tsafantakis, Iris Fischer, N. William Rayner, Daniel Suveges, George Dedoussis, Andrei Barysenka, Arthur Gilly, Sonja Neumeyer, Lorraine Southam, Thea Bjørnland, Maria Karaleftheri, Young-Chan Park, Eleftheria Zeggini |
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| Přispěvatelé: | Fischer, Iris [0000-0002-5080-1223], Zeggini, Eleftheria [0000-0003-4238-659X], Apollo - University of Cambridge Repository |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Proteomics Multifactorial Inheritance Proteome Science Quantitative Trait Loci General Physics and Astronomy Computational biology Quantitative trait locus Biology General Biochemistry Genetics and Molecular Biology Article 03 medical and health sciences 0302 clinical medicine Risk Factors Human proteome project Humans Gene Regulatory Networks Genetic Predisposition to Disease Gene Allele frequency Whole genome sequencing Multidisciplinary Whole Genome Sequencing Myocardium General Chemistry Genetic architecture 3. Good health ddc 030104 developmental biology Gene Expression Regulation Next-generation sequencing Biomarker (medicine) 030217 neurology & neurosurgery Biomarkers |
| Zdroj: | Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020) Nature Communications Nat. Commun. 11:6336 (2020) |
| ISSN: | 2041-1723 |
| Popis: | The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257 circulating protein biomarkers of cardiometabolic relevance through high-depth (22.5×) whole-genome sequencing (WGS) in 1328 individuals. We discover 131 independent sequence variant associations (P The human proteome represents a crucial link between complex disease and genetic/environmental factors. Here, the authors investigate 257 cardiometabolic-relevant protein biomarkers in whole genome sequencing data from 1328 individuals, revealing the genetic architecture underlying biomarker variation. |
| Databáze: | OpenAIRE |
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