I am a Senior Lecturer in Statistical Genetics at the MRC SGDP Centre, Institute of Psychiatry, King's College London. I did my PhD at Imperial College London on detecting recent positive selection in the human genome, supervised by David Balding and co-supervised by Ewan Birney. After a post-doc with Marjo-Riitta Jarvelin and Lachlan Coin, working on numerous GWAS projects and methodology development focused on multivariate GWAS (MultiPhen) and inversion polymorphisms, I began a lectureship in the same dept. in 2011, before moving to King's in October 2013. I'm interested in working on quantitative problems in population genetics and genetic epidemiology.
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.
Marttinen, P. et al. 2014. Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. Bioinformatics 30: 2026-34.
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, 819–820
O'Reilly, PF., Coin, L., Hoggart, C. 2010. invertFREGENE: Software for simulating inversions in population genetics data. Bioinformatics. 26: 838-40
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.
Chadeau-Hyam, M., Hoggart, CJ., O'Reilly, PF., Whittaker, JC., De Iorio, M., and Balding, DJ. 2008. Fregene: Simulation of realistic sequence-level data in populations and ascertained samples. BMC Bioinformatics. 9: 364.
Krapohl, E. et al. 2015. Phenome-wide analysis of genome-wide polygenic scores. Mol.Psychiatry. doi: 10.1038/mp.2015.126
Ojelade, SA. et al. 2015. Rsu1 regulates ethanol consumption in Drosophila and Humans. PNAS. 112: E4085-93.
Pourcain, BS. et al. 2014. Common variation near ROBO2 is associated with expressive vocabulary in infancy. Nature Comm. 5: 4831
Walsh, KM. et al. 2014. Variants near TERT and TERC influencing telomere length are associated with high-grade glioma risk. Nature Genet. 46: 731-5
Buxton, JL. et al. 2014. Multiple Measures of Adiposity Are Associated with Mean Leukocyte Telomere Length in Northern Finland Birth Cohort 1966 PLoS ONE 9: 99133
Chambers, JC. et al. 2014. The South Asian Genome. PLoS ONE 9: e102645
Song, YQ. et al. 2013. Lumbar disc degeneration is linked to carbohydrate sulfotransferase 3 variant. J Clin Invest 123: 4909-17
Codd, V. et al. 2013. Identification of seven loci affecting mean telomere length and their association with disease. Nature Genetics 45: 422-427
den Hoed, M. et al. 2013. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nature Genetics doi:10.1038/ng.2610
Kujala, U.M. et al. 2013. Long-term leisure-time physical activity and serum metabolome. Circulation 127: 340-348
van de Harst, P. et al. 2012. Seventy-five genetic loci influencing the human red blood cell. Nature doi:10.1038/nature11677
Taal, HR. et al. 2012. Common variants at 12q15 and 12q24 are associated with infant head circumference. Nature Genetics 44: 532-538
Tukiainen, T. et al. 2012. Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci. Hum Mol Genet. doi: 10.1093/hmg/ddr581
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
Ehret et al. 2011. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478: 103–109
Gieger, C. et al. 2011. New gene functions in megakaryopoiesis and platelet formation. Nature 480:201-208
Schumann et al. 2011. Genome-wide association and genetic functional studies identify AUTS2 in the regulation of alcohol consumption. PNAS 10.1073/pnas.1017288108
Kraja et al. 2011. A bivariate genome-wide approach to metabolic syndrome: STAMPEED Consortium. Diabetes 60: 1329-39.
Fox, ER. et al. 2011. Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study. Hum. Mol. Gen. 20: 2273-84.
Kilpeläinen, TO. et al. 2011. Obesity-susceptibility loci have a limited influence on birth weight: a meta-analysis of up to 28,219 individuals. Am.J.Clin.Nutr. 93: 851-60.
Wang et al. 2010. Common genetic determinants of Vitamin D insufficiency: the SUNLIGHT consortium. The Lancet.
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.
Freathy et al. 2010. Variants at two loci (in ADCY5 and near CCNL1) influence fetal growth and birth weight. Nature Genetics. 42, 430-435
Ikram, MK. et al. 2010. Four novel Loci influence the microcirculation in vivo. PLoS Genetics. 6(10): e1001184
Tabara, Y. et al. 2010. Common variants in the ATP2B1 gene are associated with susceptibility to hypertension: the Japenese Millennium Genome Project. Hypertension 56(5): 973-80.
Newton-Cheh et al. 2009. Five blood pressure loci identified by genome-wide association study of 26,644 people. Nature Genetics. 41, 666-676.
Sovio, U. et al. 2009. Genetic determinants of height growth assessed longitudinally from infancy to adulthood in the Northern Finland Birth Cohort 1966. PLoS Genetics. 5(3): e1000409.
Bloomsbury Centre Seminar Series, London, Nov 2013. "Increasing statistical power in GWAS"
WCPG, Boston, Oct 2013. "MultiPhen: Joint model of multiple phenotypes increases discovery in GWAS"
ASHG, Montreal, Oct 2011. "MultiPhen: Joint model of multiple phenotypes increases discovery in GWAS"
EMGM, London, Apr 2011. "Joint modelling of multiple phenotypes in GWAS"
ASHG, Washington DC, Nov 2010. "The simulation, detection, and effect of inversions in the human genome"
MASAMB, London, Apr 2009. "invertHMM: Detecting inversions in the Human Genome from SNP data"
HGV, Toronto, Oct 2008. “invertHMM: Detecting inversions in the Human Genome from SNP data”
IGES, York, Sept 2007. “Confounding between recombination and selection, & the Ped/Pop method...” (abstract in Genetic Epidemiology, Aug 2007)
EMGM, Heidelberg, Apr 2007. “Confounding between recombination and selection, & the Ped/Pop method...” (abstract in Annals of Human Genetics, Jul 2007)