Author

Basilio Cieza

Columbia University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:benchmark study· 2 Research Focus:benchmarking· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Giuseppe TostoiD· 3 shared Dolly Reyes‐DumeyeriD· 2 shared Zikun YangiD· 2 shared Andrew F. TeichiD· 1 shared Annie LeeiD· 1 shared Annie OF HinikeriD· 1 shared Badri Narayan VardarajaniD· 1 shared Benjamin Ciener· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Giuseppe TostoORCID

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Author profile →

3 papers

Recent·Most cited

SAGA (Simplified Association Genomewide Analyses): a user-friendly Pipeline to Democratize Genome-Wide Association Studies

Basilio Cieza, Neetesh Pandey, Vivek Ruhela, Sarwan Ali, Giuseppe Tosto

SAGA is a user-friendly, automated pipeline that simplifies GWAS by integrating PLINK, GMMAT, and SAIGE, enabling non-experts to perform reproducible analyses.

bioRxiv · Aug 25, 2025 · PreprintBioinformatics

MU-BRAIN: MUltiethnic Brain Rna-seq for Alzheimer INitiative

Zikun Yang, Basilio Cieza, Dolly Reyes‐Dumeyer, Annie Lee, Yiyi Ma, Elanur Yılmaz, Rafael Lantigua, Gary Wright Miller, Lewis M. Brown, Lawrence S. Honig, Benjamin Ciener, Sandra Leskinen, Sharanya Sivakumar, Badri Narayan Vardarajan, Brittany N. Dugger, , Giuseppe Tosto

The paper analyzes bulk RNA-seq data from diverse ethnic groups to identify differentially expressed genes and pathways in Alzheimer's Disease, highlighting cross-ethnic and ethnic-specific findings.

bioRxiv · Feb 20, 2024 · PreprintGenetics

A benchmark study on current GWAS models in admixed populations

Zikun Yang, Basilio Cieza, Dolly Reyes‐Dumeyer, Rosa Montesinos, Marcio Soto‐Añari, Nilton Custodio, Giuseppe Tosto

This study benchmarks GWAS models in admixed populations, finding SAIGE has better type-I error control while Tractor excels in detecting ancestry-specific variants but struggles with small samples.

Briefings in Bioinformatics · Nov 9, 2023Peer-reviewedBioinformatics