← back to search

Rodrigo Bonazzola

European Bioinformatics Institute · GB
Area of research
Genetics · General Social Sciences
Research interest
Research interests include Genetic Associations and Epidemiology, Genetic Mapping and Diversity in Plants and Animals, Computational and Text Analysis Methods, and Genomics and Phylogenetic Studies.
h-index
23
citations
12,387
works
76
NIH funding
primary concept
Biology
email

Recent publications

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology
Nature Machine Intelligence 2024cited by 24position: firstdoi
Exploiting the GTEx resources to decipher the mechanisms at GWAS loci
Genome biology 2021cited by 329position: middledoi
Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease
Cell 2021cited by 212position: middledoi
The impact of sex on gene expression across human tissues
Yearbook of pediatric endocrinology 2021cited by 46position: middledoi
The GTEx Consortium atlas of genetic regulatory effects across human tissues
Science 2020cited by 5,656position: middledoi
The impact of sex on gene expression across human tissues
Science 2020cited by 706position: middledoi
Cell type–specific genetic regulation of gene expression across human tissues
Science 2020cited by 583position: middledoi
Determinants of telomere length across human tissues
Science 2020cited by 488position: middledoi
Transcriptomic signatures across human tissues identify functional rare genetic variation
Science 2020cited by 162position: middledoi
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx
Genome biology 2020cited by 119position: middledoi
Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification
Genetic Epidemiology 2020cited by 58position: middledoi
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression
Genome biology 2020cited by 32position: middledoi
Imputed gene associations identify replicable <i>trans</i> ‐acting genes enriched in transcription pathways and complex traits
Genetic Epidemiology 2019cited by 30position: middledoi
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Nature Communications 2018cited by 1,212position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Alvaro Barbeira · University of Chicago4 papers (2019–2020)Hae Kyung Im · Genomics (United Kingdom)4 papers (2019–2020)Kristin Ardlie · Broad Institute3 papers (2020–2020)François Aguet · Biopredic (France)3 papers (2020–2020)Heather E. Wheeler · Loyola University Chicago2 papers (2019–2020)Alexis Battle · Johns Hopkins University2 papers (2019–2020)Xiaoquan Wen · Johns Hopkins Medicine2 papers (2020–2020)Christopher D. Brown · Arthritis UK2 papers (2020–2020)Nathan S. Abell · Radiant Genomics (United States)1 papers (2020–2020) · 1 papers (2020–2020)Alejandro F. Frangi · University of Manchester1 papers (2024–2024)Owen Melia · University of Chicago1 papers (2020–2020)Alicia R. Martin · Broad Institute1 papers (2020–2020)Tanveer Syeda-Mahmood · IBM Research - Almaden1 papers (2024–2024) · 1 papers (2024–2024)Nicole R. Gay · Stanford University1 papers (2020–2020)Abhiram Rao · Australian National University1 papers (2020–2020)Tuuli Lappalainen · Cancer Research And Biostatistics1 papers (2020–2020)Shaila Musharoff · Cornell University1 papers (2020–2020)Ashis Saha · ChromoLogic (United States)1 papers (2019–2019)