Publications
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Filters: First Letter Of Last Name is R and Author is Rivas, Manuel A [Clear All Filters]
Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study. Nat Commun 9, 1612 (2018).
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. Nat Commun 10, 4064 (2019).
Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics. Bioinformatics 35, 2495-2497 (2019).
Opportunities and challenges for transcriptome-wide association studies. Nat Genet 51, 592-599 (2019).
Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases. Am J Hum Genet 106, 611-622 (2020).
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank. PLoS Genet 16, e1009141 (2020).
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank. Biostatistics (2020). doi:10.1093/biostatistics/kxaa038
FasTag: Automatic text classification of unstructured medical narratives. PLoS One 15, e0234647 (2020).
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).
Race, socioeconomic deprivation, and hospitalization for COVID-19 in English participants of a national biobank. Int J Equity Health 19, 114 (2020).
Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma. PLoS Genet 16, e1008682 (2020).
A cross-population atlas of genetic associations for 220 human phenotypes. Nat Genet 53, 1415-1424 (2021).
Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks. Nat Commun 12, 350 (2021).
Polygenic risk modeling with latent trait-related genetic components. Eur J Hum Genet (2021). doi:10.1038/s41431-021-00813-0
Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression. Bioinformatics (2021). doi:10.1093/bioinformatics/btab095
Whole exome sequencing analyses reveal gene-microbiota interactions in the context of IBD. Gut 70, 285-296 (2021).