Burgess S - Search Results

1

Genetic Evidence for Repurposing of GLP1R (Glucagon-Like Peptide-1 Receptor) Agonists to Prevent Heart Failure.

Daghlas I, Karhunen V, Ray D, Zuber V, Burgess S, Tsao PS, Lynch JA, Lee KM, Voight BF, Chang KM, Baker EH, Damrauer SM, Howson JMM, Vujkovic M, Gill D. Daghlas I, et al. Among authors: burgess s. J Am Heart Assoc. 2021 Jul 6;10(13):e020331. doi: 10.1161/JAHA.120.020331. Epub 2021 Jun 29. J Am Heart Assoc. 2021. PMID: 34184541 Free PMC article.

2

Mendelian randomization analysis with multiple genetic variants using summarized data.

Burgess S, Butterworth A, Thompson SG. Burgess S, et al. Genet Epidemiol. 2013 Nov;37(7):658-65. doi: 10.1002/gepi.21758. Epub 2013 Sep 20. Genet Epidemiol. 2013. PMID: 24114802 Free PMC article.

3

Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractions.

Burgess S, Freitag DF, Khan H, Gorman DN, Thompson SG. Burgess S, et al. PLoS One. 2014 Oct 10;9(10):e108891. doi: 10.1371/journal.pone.0108891. eCollection 2014. PLoS One. 2014. PMID: 25302496 Free PMC article.

4

Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis.

Interleukin 1 Genetics Consortium. Interleukin 1 Genetics Consortium. Lancet Diabetes Endocrinol. 2015 Apr;3(4):243-53. doi: 10.1016/S2213-8587(15)00034-0. Epub 2015 Feb 26. Lancet Diabetes Endocrinol. 2015. PMID: 25726324 Free PMC article.

5

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Bowden J, Davey Smith G, Haycock PC, Burgess S. Bowden J, et al. Among authors: burgess s. Genet Epidemiol. 2016 May;40(4):304-14. doi: 10.1002/gepi.21965. Epub 2016 Apr 7. Genet Epidemiol. 2016. PMID: 27061298 Free PMC article.

6

Causal Effect of Plasminogen Activator Inhibitor Type 1 on Coronary Heart Disease.

Song C, Burgess S, Eicher JD, O'Donnell CJ, Johnson AD. Song C, et al. Among authors: burgess s. J Am Heart Assoc. 2017 May 26;6(6):e004918. doi: 10.1161/JAHA.116.004918. J Am Heart Assoc. 2017. PMID: 28550093 Free PMC article. Review.

7

Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables.

Burgess S, Zuber V, Valdes-Marquez E, Sun BB, Hopewell JC. Burgess S, et al. Genet Epidemiol. 2017 Dec;41(8):714-725. doi: 10.1002/gepi.22077. Epub 2017 Sep 25. Genet Epidemiol. 2017. PMID: 28944551 Free PMC article.

8

Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.

Burgess S, Foley CN, Zuber V. Burgess S, et al. Annu Rev Genomics Hum Genet. 2018 Aug 31;19:303-327. doi: 10.1146/annurev-genom-083117-021731. Epub 2018 Apr 25. Annu Rev Genomics Hum Genet. 2018. PMID: 29709202 Free PMC article. Review.

9

Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid.

Burgess S, Zuber V, Gkatzionis A, Foley CN. Burgess S, et al. Int J Epidemiol. 2018 Aug 1;47(4):1242-1254. doi: 10.1093/ije/dyy080. Int J Epidemiol. 2018. PMID: 29846613 Free PMC article.

10

Birthweight, Type 2 Diabetes Mellitus, and Cardiovascular Disease: Addressing the Barker Hypothesis With Mendelian Randomization.

Zanetti D, Tikkanen E, Gustafsson S, Priest JR, Burgess S, Ingelsson E. Zanetti D, et al. Among authors: burgess s. Circ Genom Precis Med. 2018 Jun;11(6):e002054. doi: 10.1161/CIRCGEN.117.002054. Circ Genom Precis Med. 2018. PMID: 29875125 Free PMC article.

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