Publications

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Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Tsetsos, F. et al. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 11, 56 (2021).
Li, R. et al. Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression. Bioinformatics (2021). doi:10.1093/bioinformatics/btab095
Li, R. et al. Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression. Bioinformatics (2021). doi:10.1093/bioinformatics/btab095
Li, R. et al. Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression. Bioinformatics (2021). doi:10.1093/bioinformatics/btab095
Flynn, E. et al. Sex-specific genetic effects across biomarkers. Eur J Hum Genet 29, 154-163 (2021).
P
Tang, Z. - Z. et al. PSCAN: Spatial scan tests guided by protein structures improve complex disease gene discovery and signal variant detection. Genome Biol 21, 217 (2020).
Seplyarskiy, V. B. et al. Population sequencing data reveal a compendium of mutational processes in the human germ line. Science 373, 1030-1035 (2021).
Seplyarskiy, V. B. et al. Population sequencing data reveal a compendium of mutational processes in the human germ line. Science 373, 1030-1035 (2021).
Aguirre, M. et al. Polygenic risk modeling with latent trait-related genetic components. Eur J Hum Genet (2021). doi:10.1038/s41431-021-00813-0
Aguirre, M. et al. Polygenic risk modeling with latent trait-related genetic components. Eur J Hum Genet (2021). doi:10.1038/s41431-021-00813-0
Sohail, M. et al. Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies. Elife 8, (2019).
Bastarache, L. et al. Phenotype risk scores identify patients with unrecognized Mendelian disease patterns. Science 359, 1233-1239 (2018).
Tcheandjieu, C. et al. A phenome-wide association study of 26 mendelian genes reveals phenotypic expressivity of common and rare variants within the general population. PLoS Genet 16, e1008802 (2020).
I
Sun, R. et al. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet Epidemiol 45, 99-114 (2021).
Sun, R. et al. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet Epidemiol 45, 99-114 (2021).
Sun, R. et al. Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genet Epidemiol 45, 99-114 (2021).
Ritchie, M. D. et al. Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions. Am J Epidemiol 186, 771-777 (2017).
Ji, Y. et al. Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians. Genet Epidemiol (2021). doi:10.1002/gepi.22382
Wojcik, G. L. et al. Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies. G3 (Bethesda) 8, 3255-3267 (2018).
Amariuta, T. et al. Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. Nat Genet 52, 1346-1354 (2020).
Li, X. et al. The impact of rare variation on gene expression across tissues. Nature 550, 239-243 (2017).
Frésard, L. et al. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med 25, 911-919 (2019).
Dietlein, F. et al. Identification of cancer driver genes based on nucleotide context. Nat Genet 52, 208-218 (2020).

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