Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Doherty, A. et al. (2018) “GWAS identifies 14 loci for device-measured physical activity and sleep duration”, Nature Communications, 9.

Hay, J. et al. (2018) “Potential inconsistencies in Zika surveillance data and our understanding of risk during pregnancy.”, PLoS: Neglected Tropical Diseases, 12(12).

Wang, Z. et al. (2018) “Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration”, iScience, 9, pp. 451–460.

Eneanya, O. et al. (2018) “Environmental suitability for lymphatic filariasis in Nigeria”, Parasites and Vectors, 11(1).

Dorigatti, I. et al. (2018) “Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning”, Nature Communications, 9(1).

Reshef, Y. et al. (2018) “Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk”, Nature Genetics, 50(9), pp. 1483–1493.

Moraga, P. et al. (2018) “epiflows: an R package for risk assessment of travel-related spread of disease.”, F1000Research, 7.

Moraga, P. et al. (2018) “epiflows: an R package for risk assessment of travel-related spread of disease”, F1000Research, 7, p. 1374.

Palamara, P. et al. (2018) “High-throughput inference of pairwise coalescence times identifies signals of selection and enriched disease heritability”, Nature Genetics, 50(8), pp. 1311–1317.

Loh, P.-R. et al. (2018) “Insights about clonal hematopoiesis from 8,342 mosaic chromosomal alterations”, Nature, 559(7713), pp. 350–355.