Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables

Burgess, S.; Thompson, S. G.; Andrews, G.; Samani, N. J.; Hall, A.; Whincup, P.; Morris, R.; Lawlor, D. A.; Davey Smith, G.; Timpson, N.; Ebrahim, S.; Ben-Shlomo, Y.; Brown, M.; Ricketts, S.; Sandhu, M.; Reiner, A.; Psaty, B.; Lange, L.; Cushman, M.; Hung, J.; Thompson, P.; Beilby, J.; Warrington, N.; Palmer, L. J.; Nordestgaard, B. G.; Tybjaerg-Hansen, A.; Zacho, J.; Wu, C.; Lowe, G.; Tzoulaki, I.; Kumari, M.; Yamamoto, J. F.; Chiodini, B.; Franzosi, M.; Hankey, G. J.; Jamrozik, K.; Palmer, L.; Rimm, E.; Pai, J.; Heckbert, S.; Bis, J.; Anand, S.; Engert, J.; Collins, R.; Clarke, R.; Melander, O.; Berglund, G.; Ladenvall, P.; Johansson, L.; Jansson, J. H.; Hallmans, G.; Hingorani, A.; Humphries, S.; Manson, J.; Watkins, H.; Hopewell, J.; Saleheen, D.; Frossard, R.; Danesh, J.; Sattar, N.; Robertson, M.; Shepherd, J.; Schaefer, E.; Hofman, A.; Witteman, J. C.; Kardys, I.; de Faire, U.; Bennet, A.; Ford, I.; Packard, C.; Casas, J. P.; Smeeth, L.; Wensley, F.; Bowden, J.; Di Angelantonio, E.; Gao, P.; Shah, T.; Verzilli, C.; Walker, M.; Whittaker, J.

Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/23537

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DC Field	Value	Language
dc.contributor.author	Burgess, S.	en
dc.contributor.author	Thompson, S. G.	en
dc.contributor.author	Andrews, G.	en
dc.contributor.author	Samani, N. J.	en
dc.contributor.author	Hall, A.	en
dc.contributor.author	Whincup, P.	en
dc.contributor.author	Morris, R.	en
dc.contributor.author	Lawlor, D. A.	en
dc.contributor.author	Davey Smith, G.	en
dc.contributor.author	Timpson, N.	en
dc.contributor.author	Ebrahim, S.	en
dc.contributor.author	Ben-Shlomo, Y.	en
dc.contributor.author	Brown, M.	en
dc.contributor.author	Ricketts, S.	en
dc.contributor.author	Sandhu, M.	en
dc.contributor.author	Reiner, A.	en
dc.contributor.author	Psaty, B.	en
dc.contributor.author	Lange, L.	en
dc.contributor.author	Cushman, M.	en
dc.contributor.author	Hung, J.	en
dc.contributor.author	Thompson, P.	en
dc.contributor.author	Beilby, J.	en
dc.contributor.author	Warrington, N.	en
dc.contributor.author	Palmer, L. J.	en
dc.contributor.author	Nordestgaard, B. G.	en
dc.contributor.author	Tybjaerg-Hansen, A.	en
dc.contributor.author	Zacho, J.	en
dc.contributor.author	Wu, C.	en
dc.contributor.author	Lowe, G.	en
dc.contributor.author	Tzoulaki, I.	en
dc.contributor.author	Kumari, M.	en
dc.contributor.author	Yamamoto, J. F.	en
dc.contributor.author	Chiodini, B.	en
dc.contributor.author	Franzosi, M.	en
dc.contributor.author	Hankey, G. J.	en
dc.contributor.author	Jamrozik, K.	en
dc.contributor.author	Palmer, L.	en
dc.contributor.author	Rimm, E.	en
dc.contributor.author	Pai, J.	en
dc.contributor.author	Heckbert, S.	en
dc.contributor.author	Bis, J.	en
dc.contributor.author	Anand, S.	en
dc.contributor.author	Engert, J.	en
dc.contributor.author	Collins, R.	en
dc.contributor.author	Clarke, R.	en
dc.contributor.author	Melander, O.	en
dc.contributor.author	Berglund, G.	en
dc.contributor.author	Ladenvall, P.	en
dc.contributor.author	Johansson, L.	en
dc.contributor.author	Jansson, J. H.	en
dc.contributor.author	Hallmans, G.	en
dc.contributor.author	Hingorani, A.	en
dc.contributor.author	Humphries, S.	en
dc.contributor.author	Manson, J.	en
dc.contributor.author	Watkins, H.	en
dc.contributor.author	Hopewell, J.	en
dc.contributor.author	Saleheen, D.	en
dc.contributor.author	Frossard, R.	en
dc.contributor.author	Danesh, J.	en
dc.contributor.author	Sattar, N.	en
dc.contributor.author	Robertson, M.	en
dc.contributor.author	Shepherd, J.	en
dc.contributor.author	Schaefer, E.	en
dc.contributor.author	Hofman, A.	en
dc.contributor.author	Witteman, J. C.	en
dc.contributor.author	Kardys, I.	en
dc.contributor.author	de Faire, U.	en
dc.contributor.author	Bennet, A.	en
dc.contributor.author	Ford, I.	en
dc.contributor.author	Packard, C.	en
dc.contributor.author	Casas, J. P.	en
dc.contributor.author	Smeeth, L.	en
dc.contributor.author	Wensley, F.	en
dc.contributor.author	Bowden, J.	en
dc.contributor.author	Di Angelantonio, E.	en
dc.contributor.author	Gao, P.	en
dc.contributor.author	Shah, T.	en
dc.contributor.author	Verzilli, C.	en
dc.contributor.author	Walker, M.	en
dc.contributor.author	Whittaker, J.	en
dc.date.accessioned	2015-11-24T19:33:27Z	-
dc.date.available	2015-11-24T19:33:27Z	-
dc.identifier.issn	1097-0258	-
dc.identifier.uri	https://olympias.lib.uoi.gr/jspui/handle/123456789/23537	-
dc.rights	Default Licence	-
dc.subject	*Bayes Theorem	en
dc.subject	Biostatistics	en
dc.subject	C-Reactive Protein/genetics/metabolism	en
dc.subject	Fibrinogen/metabolism	en
dc.subject	Genetic Markers	en
dc.subject	Humans	en
dc.subject	*Meta-Analysis as Topic	en
dc.subject	Models, Statistical	en
dc.subject	Phenotype	en
dc.subject	Polymorphism, Single Nucleotide	en
dc.title	Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables	en
heal.type	journalArticle	-
heal.type.en	Journal article	en
heal.type.el	Άρθρο Περιοδικού	el
heal.identifier.primary	10.1002/sim.3843	-
heal.identifier.secondary	http://www.ncbi.nlm.nih.gov/pubmed/20209660	-
heal.identifier.secondary	http://onlinelibrary.wiley.com/store/10.1002/sim.3843/asset/3843_ftp.pdf?v=1&t=h0ff5hxl&s=51ddcad59459b1f6b6d94324591a99d985c67c29	-
heal.language	en	-
heal.access	campus	-
heal.recordProvider	Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής	el
heal.publicationDate	2010	-
heal.abstract	Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic markers measured in multiple studies, based on the analysis of individual participant data. First, for a single genetic marker in one study, we show that the usual ratio of coefficients approach can be reformulated as a regression with heterogeneous error in the explanatory variable. This can be implemented using a Bayesian approach, which is next extended to include multiple genetic markers. We then propose a hierarchical model for undertaking a meta-analysis of multiple studies, in which it is not necessary that the same genetic markers are measured in each study. This provides an overall estimate of the causal relationship between the phenotype and the outcome, and an assessment of its heterogeneity across studies. As an example, we estimate the causal relationship of blood concentrations of C-reactive protein on fibrinogen levels using data from 11 studies. These methods provide a flexible framework for efficient estimation of causal relationships derived from multiple studies. Issues discussed include weak instrument bias, analysis of binary outcome data such as disease risk, missing genetic data, and the use of haplotypes.	en
heal.journalName	Stat Med	en
heal.journalType	peer-reviewed	-
heal.fullTextAvailability	TRUE	-
Appears in Collections:	Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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