I am an Associate Professor in Statistical Genetics at the Icahn School of Medicine at Mount Sinai NYC (bottom left in pic below). In order to gain insights into how the human genome evolves and gives rise to disease, my group develops Statistical Genetics methods and software in Genetic Epidemiology (eg. multi-trait GWAS: MultiPhen, Polygenic Risk Scores: PRSice) and Population Genetics (eg. detecting selection: Ped/Pop method, simulating inversions: invertFREGENE), while my applied work focuses on Psychiatric Genetics.
Background: Having majored in Mathematics, I did my PhD at Imperial College London (2004-08) on methods for detecting selection in the genome, supervised by David Balding and co-supervised by Ewan Birney. After a postdoc working on applied and method development GWAS projects (w Marjo-Riitta Jarvelin and Lachlan Coin), I began a Lectureship at Imperial in 2011, before moving to the MRC SGDP Centre, IoPPN, King's College London in 2013 as Senior Lecturer and then Reader. In 2019 I moved to Mount Sinai NYC.
**Hiring Postdocs**!! If you are interested in any of the following lab themes then contact me (email@example.com) to discuss:
(1) Functional convergence of disease risk (along pathways)
(2) Inferring causal relationships among traits and diseases from genetics
(3) Bridging Population Genetics and Genetic Epidemiology
(4) Statistical Genetics of Alzheimer's disease
Mount Sinai is also a great place to make the step from postdoc to first faculty position.
Plomin, R., Krapohl, E., O'Reilly, PF. 2016. Assortative Mating: A Missing Piece in the Jigsaw of Psychiatric Genetics. JAMA Psychiatry 73:323-4.
Euesden, J., Lewis, CM., O'Reilly, PF. 2015. PRSice: Polygenic Risk Score software. Bioinformatics 31:1466-8.
Asherson, P., O'Reilly, PF. 2015. Genetic Effects, Categorical Disorders and Quantitative Traits. J Am Acad Child Adolesc Psychiatry 54:702-3.
Seich al Basatena, NK., Hoggart, CJ., Coin, LJ., O'Reilly, PF. 2013. The effect of genomic inversions on the estimation of population genetic parameters from SNP data. Genetics. doi: 10.1534/genetics.112.145599
O'Reilly, PF. et al. 2012. MultiPhen: Joint model of multiple phenotypes can increase discovery in GWAS. PLoS ONE. 7:e34861.
Hoggart, CJ.*, O'Reilly, PF.* et al. 2012. Fine-scale Estimation of Location of Birth from Genome-wide SNP Data. Genetics. 190: 669-677.
O'Reilly, PF., Balding, DJ. 2011. Admixture provides new insights into recombination. Nature Genetics. 43, 819
Wain, LV.*, Verwoert, GC.*, O'Reilly, PF.*, et al. 2011. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nature Genetics 43: 1005-1011
O'Reilly, PF., Coin, L., Hoggart, C. 2010. invertFREGENE: Software for simulating inversions in population genetics data. Bioinformatics. 26: 838-40
Pillas, D.*, Hoggart, CJ.*, Evans, D.*, O'Reilly, PF.*, et al. 2010. Genome-wide association study reveals multiple loci associated with primary tooth development. PLoS Genetics. 6(2): e1000856.
O'Reilly, PF., Birney, E., Balding, DJ. 2008. Confounding between recombination and selection, and the Ped/Pop method for detecting selection. Genome Research. 18: 1304-1313.
Genemappers, 2017. PRS highlight interplay between behaviour and psychiatry
WCPG, 2015. Symposium Chair: Polygenic scores methods in Psychiatric Genetics
Bloomsbury Centre Seminar Series, 2013. Increasing statistical power in GWAS
ASHG, 2011. MultiPhen: Joint model of multiple phenotypes increases discovery in GWAS
EMGM, 2011. Joint modelling of multiple phenotypes in GWAS
ASHG, 2010. The simulation, detection, and effect of inversions in the human genome
MASAMB, 2009. invertHMM: Detecting inversions in the Human Genome from SNP data
HGV, 2008. invertHMM: Detecting inversions in the Human Genome from SNP data
IGES, 2007. Confounding between recombination and selection, & the Ped/Pop method...