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Sun M, Jobling M A, Taliun D, Pramstaller P P, Egeland T and N A Sheehan (2016). On the use of dense SNP marker data for the identification of distant relative pairs. Theoretical Population Biology 107: 14-25. http://authors.elsevier.com/a/1SKZb9EXx1VR9 Del Greco F, Minelli C, Sheehan N A and J R Thompson (2015). Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous disease trait. Statistics in Medicine, 34: 2926-2940. Sheehan N A, Bartlett M and J Cussens (2014). Improved maximum likelihood reconstruction of complex multi-generational pedigrees. Theoretical Population Biology, 97: 11-19. Egeland T, Dorum G, Vigeland M D and N A Sheehan (2014). Mixtures with relatives: a pedigree perspective. Forensic Science International: Genetics, 10: 49-54. http://dx.doi.org/10.1016/j.fsigen.2014.01.007. Jones E M, Sheehan N A, Gaye A, Laflamme P and P Burton (2013). Combined analysis of correlated data when data cannot be pooled. Stat, 2: 72-85. Cussens J, Bartlett M, Jones E M and N A Sheehan (2013). Maximum likelihoodpedigree reconstruction using integer linear programming. Genetic Epidemiology, 37: 69-83. Harbord R, Didelez V, Palmer T M, Meng S, Sterne J A C and N A Sheehan (2013). Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies. Statistics in Medicine, 32: 1246-1258. Janss L, de los Campos G, Sheehan N and D Sorensen (2012). Inferences from genomic models in stratified populations. Genetics, 192(2): 693-704. Jones, E.M., Thompson, J., Didelez, V. and N.A. Sheehan (2012). On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies. Statistics in Medicine, 31: 1483–1501. Palmer, T M, Lawlor, D A, Harbord, R M, Sheehan, N A, Tobias, J H, Timpson, N J, Davey Smith, G and J A C Sterne (2012). Using multiple genetic variants as instrumental variables for modifiable risk factors. Statistical Methods in Medical Research, 21: 223–242. Masca, N, Burton, P.R. and N.A. Sheehan (2011). Participant identification in genetic association studies: improved methods and practical implications. International Journal of Epidemiology, 40: 1629–1642. Palmer, T.M, Didelez, V, Ramsahai, R and N.A. Sheehan (2011). Nonparametric bounds for the causal effect in a binary instrumental variable model. Stata Journal, 11 (3): 345–367. Palmer, T. Sterne, J A C, Harbord, R M., Lawlor, D A, Sheehan, N A, Meng, S, Granell, R, Davey Smith, G and V Didelez (2011). Instrumental variable estimation of the causal risk ratio and causal odds ratio in Mendelian randomization analyses. American Journal of Epidemiology, 173(12): 1392–1403. Masca, N, Sheehan, N A and M D Tobin (2011). Pharmacogenetic interactions and their potential effects on genetic analyses of blood pressure. Statistics in Medicine. 30:769–783. Sheehan, N A, Meng, S. and V Didelez (2011). Mendelian randomisation: a tool for assessing causality in observational epidemiology. In “Genetic Epidemiology”, editor Dawn Teare. Series on Methods in Molecular Biology, Volume 713, pp 153-166. Humana Press Inc. Didelez, V, Meng, S and N A Sheehan (2010). Assumptions of IV methods for observational epidemiology. Statistical Science 25: 22-40 Skare, ?, Sheehan, N and T Egeland (2009). Identification of distant family relationships. Bioinformatics, 18: 2376-2382 Sheehan, N.A, Didelez, V., Burton, P.R. and M.D. Tobin (2008). Mendelian randomisation and causal inference in observational epidemiology. PLoS Medicine 5 (8) e177. Egeland, T. and N.A. Sheehan (2008). On identification problems requiring linked autosomal markers. Forensic Science International: Genetics 2: 219-225. Sheehan, N.A. and T. Egeland (2008). Adjusting for founder relatedness in a linkage analysis using prior information. Human Heredity 65: 221-231 Sheehan, N.A. and T. Egeland (2007). Structured incorporation of prior information in relationship identification problems. Annals of Human Genetics 71: 501-518. Didelez, V. and N.A. Sheehan (2007). Mendelian randomisation as an instrumental variable approach to causal inference. Statistical Methods in Medical Research 16: 309-330. Sheehan, N.A., Guldbrandtsen, B. and D.A. Sorensen (2007). Evaluating the performance of a block updating MCMC sampler in a simple genetic application. Journal of Agricultural, Biological and Environmental Statistics, 12: 272–299. Didelez, V. and N A Sheehan (2007). Mendelian randomisation: why epidemiology requires a formal language for causality in "Causality and Probability in the Sciences", Texts in Philosophy Volume 5, eds. F. Russo and J. Williamson, London College Publications, 263-292. Lauritzen, S L and N A Sheehan (2003). Graphical models for genetic analyses. Statistical Science. 18, 489-514