Research and Publications

About my research
I'm primarily interested in statistical Modelling. I really enjoyed statistical genetics, but now work on understanding how users interact with Google.com, in particular the ads. I'm focused on how to make that experience as good as possible. My PhD thesis developed models of evolution, focused on modeling recombination and genealogies in a computationally efficient way. My postdoctoral work focused on disease genetics and understanding 2nd generation sequencing data.

Biographical Sketch
I currently work for Google, having previously completed a post-doc with John Witte in Epidemiology and Biostatistics at UCSF. I have also worked as a post-doc with Jonathan Marchini and Peter Donnelly, my PhD was with Gil McVean, and my undergraduate was in Mathematics (all at Oxford).

Selected publications

‒ Gilean A. McVean, Niall J. Cardin. (2005)
Approximating the coalescent with recombination.
Philos Trans R Soc Lond B Biol Sci. 2005 Jul 29;360(1459):1387-93.

‒ The Wellcome Trust Case Control Consortium (2007)
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls,
Nature ‒ International HapMap Consortium (2007) A second generation human haplotype map of over 3.1 million SNPs,

‒ Zhan Su, Niall J. Cardin, the Wellcome Trust Case Control Consortium, Peter Donnelly, and Jonathan Marchini (2009)
A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies
Statistical Science Volume 24, Number 4, 430-450.

‒ Wellcome Trust Case-Control Consortium (Matthew E. Hurles, Nick Craddock, Niall J. Cardin et. al., 2010)
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls.
Nature.;464;713-20. PMID: 20360734 DOI: 10.1038/nature08979

Niall J. Cardin, Chris Holmes, The Wellcome Trust Case Control Consortium, Peter Donnelly, Jonathan Marchini
Bayesian Hierarchical Mixture Modelling to Assign Copy Number from Array Data
Genetic Epidemiology, Volume 35, Issue 6, pages 536‒548, September 2011, DOI: 10.1002/gepi.20604
[this paper describes CNVCALL (see Software section)]

Niall J. Cardin, Joel A. Mefford, John S. Witte
Joint Association Testing of Common and Rare Genetic Variants Using Hierarchical Modeling
Genetic Epidemiology, Volume 36, Issue 6, pages 642‒651, Sep (July online) 2012, DOI: 10.1002/gepi.21659
[this paper describes CHARM (see Software section)]

‒ Rémi Kazma, Niall J. Cardin, John S. Witte
Does Accounting for Gene-Environment Interactions Help Uncover Association between Rare Variants and Complex Diseases?
Human Heredity, Volume 74, pages 205‒214, Apr 2013, DOI: 10.1159/000346825

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