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Matthew R. Robinson

Researcher at Institute of Science and Technology Austria

Publications -  114
Citations -  10926

Matthew R. Robinson is an academic researcher from Institute of Science and Technology Austria. The author has contributed to research in topics: Population & Genetic architecture. The author has an hindex of 41, co-authored 110 publications receiving 7698 citations. Previous affiliations of Matthew R. Robinson include University of Sheffield & University of Melbourne.

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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

James J. Lee, +94 more
- 23 Jul 2018 - 
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
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Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

TL;DR: A method is proposed that integrates summary-level data from GWAS with data from expression quantitative trait locus (eQTL) studies to identify genes whose expression levels are associated with a complex trait because of pleiotropy, and prioritize 126 genes that provide important leads to design future functional studies.
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Genetic mechanisms of critical illness in Covid-19.

Erola Pairo-Castineira, +1449 more
- 04 Mar 2021 - 
TL;DR: The GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2244 critically ill Covid-19 patients from 208 UK intensive care units is reported, finding evidence in support of a causal link from low expression of IFNAR2, and high expression of TYK2, to life-threatening disease.
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Causal associations between risk factors and common diseases inferred from GWAS summary data

TL;DR: A generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common diseases.