FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2902611866> ?p ?o ?g. }

• W2902611866 endingPage "1001" @default.
• W2902611866 startingPage "985" @default.
• W2902611866 abstract "Mendelian randomisation (MR) is a method for establishing causality between a risk factor and an outcome by using genetic variants as instrumental variables. In practice, the association between individual genetic variants and the risk factor is often weak, which may lead to a lack of precision in the MR and even biased MR estimates. Usually, the most significant variant within a genetic region is selected to represent the association with the risk factor, but there is no guarantee that this variant will be causal or that it will capture all of the genetic association within the region. It may be advantageous to use extra variants selected from the same region in the MR. The problem is to decide which variants to select. Rather than selecting a specific set of variants, we investigate the use of Bayesian model averaging (BMA) to average the MR over all possible combinations of genetic variants. Our simulations demonstrate that the BMA version of MR outperforms classical estimation with many dependent variants and performs much better than an MR based on variants selected by penalised regression. In further simulations, we investigate robustness to violations in the model assumptions and demonstrate sensitivity to the inclusion of invalid instruments. The method is illustrated by applying it to an MR of the effect of body mass index on blood pressure using SNPs in the FTO gene." @default.
• W2902611866 created "2018-12-11" @default.
• W2902611866 creator A5023002920 @default.
• W2902611866 creator A5078894934 @default.
• W2902611866 creator A5084817550 @default.
• W2902611866 date "2018-11-28" @default.
• W2902611866 modified "2023-10-14" @default.
• W2902611866 title "A Bayesian approach to Mendelian randomisation with dependent instruments" @default.
• W2902611866 cites W1485526600 @default.
• W2902611866 cites W1603903339 @default.
• W2902611866 cites W1886275324 @default.
• W2902611866 cites W1905058580 @default.
• W2902611866 cites W1964735403 @default.
• W2902611866 cites W1972696558 @default.
• W2902611866 cites W1991587639 @default.
• W2902611866 cites W1997254444 @default.
• W2902611866 cites W1997338841 @default.
• W2902611866 cites W2002539744 @default.
• W2902611866 cites W2005648153 @default.
• W2902611866 cites W2008050897 @default.
• W2902611866 cites W2045352063 @default.
• W2902611866 cites W2049228615 @default.
• W2902611866 cites W2056110476 @default.
• W2902611866 cites W2058401000 @default.
• W2902611866 cites W2069777680 @default.
• W2902611866 cites W2085766216 @default.
• W2902611866 cites W2095967516 @default.
• W2902611866 cites W2097529040 @default.
• W2902611866 cites W2097660065 @default.
• W2902611866 cites W2099283081 @default.
• W2902611866 cites W2100471135 @default.
• W2902611866 cites W2102011776 @default.
• W2902611866 cites W2106036991 @default.
• W2902611866 cites W2112203259 @default.
• W2902611866 cites W2113298088 @default.
• W2902611866 cites W2113699335 @default.
• W2902611866 cites W2114001485 @default.
• W2902611866 cites W2115060448 @default.
• W2902611866 cites W2119337915 @default.
• W2902611866 cites W2120846249 @default.
• W2902611866 cites W2127768736 @default.
• W2902611866 cites W2127950980 @default.
• W2902611866 cites W2128736149 @default.
• W2902611866 cites W2129465958 @default.
• W2902611866 cites W2135895196 @default.
• W2902611866 cites W2140692077 @default.
• W2902611866 cites W2145687343 @default.
• W2902611866 cites W2151096860 @default.
• W2902611866 cites W2151355802 @default.
• W2902611866 cites W2151507617 @default.
• W2902611866 cites W2151872224 @default.
• W2902611866 cites W2152664025 @default.
• W2902611866 cites W2154649666 @default.
• W2902611866 cites W2157479690 @default.
• W2902611866 cites W2161527093 @default.
• W2902611866 cites W2165144879 @default.
• W2902611866 cites W2165917334 @default.
• W2902611866 cites W2166488412 @default.
• W2902611866 cites W2169783774 @default.
• W2902611866 cites W2172260290 @default.
• W2902611866 cites W2198755677 @default.
• W2902611866 cites W2292274773 @default.
• W2902611866 cites W2322235902 @default.
• W2902611866 cites W2324862792 @default.
• W2902611866 cites W2547026208 @default.
• W2902611866 cites W2963680191 @default.
• W2902611866 cites W3121263799 @default.
• W2902611866 cites W3123357764 @default.
• W2902611866 cites W4210633230 @default.
• W2902611866 cites W4211177544 @default.
• W2902611866 cites W4254014359 @default.
• W2902611866 cites W43951473 @default.
• W2902611866 doi "https://doi.org/10.1002/sim.8029" @default.
• W2902611866 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30485479" @default.
• W2902611866 hasPublicationYear "2018" @default.
• W2902611866 type Work @default.
• W2902611866 sameAs 2902611866 @default.
• W2902611866 citedByCount "6" @default.
• W2902611866 countsByYear W29026118662019 @default.
• W2902611866 countsByYear W29026118662020 @default.
• W2902611866 countsByYear W29026118662022 @default.
• W2902611866 crossrefType "journal-article" @default.
• W2902611866 hasAuthorship W2902611866A5023002920 @default.
• W2902611866 hasAuthorship W2902611866A5078894934 @default.
• W2902611866 hasAuthorship W2902611866A5084817550 @default.
• W2902611866 hasBestOaLocation W29026118662 @default.
• W2902611866 hasConcept C104317684 @default.
• W2902611866 hasConcept C105795698 @default.
• W2902611866 hasConcept C107673813 @default.
• W2902611866 hasConcept C121332964 @default.
• W2902611866 hasConcept C135763542 @default.
• W2902611866 hasConcept C142291917 @default.
• W2902611866 hasConcept C149782125 @default.
• W2902611866 hasConcept C153209595 @default.
• W2902611866 hasConcept C154945302 @default.
• W2902611866 hasConcept C175783326 @default.
• W2902611866 hasConcept C186413461 @default.
• W2902611866 hasConcept C207201462 @default.

• next