Author

Nirav N. Shah

Baylor College of Medicine

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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Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:mixed model· 2 Assay:clinical cohort / trial· 1

Frequent Co-Authors

Elizabeth G. AtkinsoniD· 3 shared Wei ZhouiD· 2 shared Adam X. MaihoferiD· 1 shared Alejandra Vergara-LopeiD· 1 shared Alicia R. MartiniD· 1 shared Benjamin M. NealeiD· 1 shared Caroline M. CusickiD· 1 shared Caroline M. NievergeltiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Elizabeth G. AtkinsonORCID

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3 papers

Recent·Most cited

Extending Genome-Wide Association Studies to admixed cohorts with high degrees of relatedness

Taotao Tan, Alejandra Vergara-Lope, José Jaime Martínez‐Magaña, Nirav N. Shah, Yi-Sian Lin, Kai Yuan, Jaime Berumen-Campos, Jesús Alegre-Díaz, Pablo Antonio Kuri-Morales, Roberto Tapia‐Conyer, Joel E. Gelernter, Janitza L. Montalvo‐Ortiz, Wei Zhou, Jason Torres, Elizabeth G. Atkinson

The paper introduces Tractor-Mix, a mixed model method for GWAS in admixed cohorts with high relatedness, improving ancestry-specific association detection and controlling false positives.

Nature Genetics · Jul 20, 2026Peer-reviewedGenetic & Genomic Medicine

Characterizing features affecting local ancestry inference performance in admixed populations

Jessica Mauer, Nirav N. Shah, Adam X. Maihofer, Clement C.H. Zai, Sintia Iole Belangero, Caroline M. Nievergelt, Marcos Leite Santoro, Elizabeth G. Atkinson

This study evaluates LAI performance in admixed populations, finding reduced accuracy for Amerindigenous tracts and highlighting the importance of reference panel matching.

The American Journal of Human Genetics · Jan 2, 2025Peer-reviewedGenomics

Pan-UK Biobank GWAS improves discovery, analysis of genetic architecture, and resolution into ancestry-enriched effects

Konrad J. Karczewski, Rahul Gupta, Masahiro Kanai, Wenhan Lu, Kristin Tsuo, Ying Wang, Raymond Kenney Walters, Patrick Turley, Shawneequa Callier, Nirav N. Shah, Nikolas A. Baya, Duncan S. Palmer, Jacqueline I. Goldstein, Gopal Sarma, Matthew Solomonson, , Alicia R. Martin

Meta-analyzing per-ancestry GWAS of 7,266 UK Biobank traits across six genetic ancestry groups adds 14,676 loci missed by European-only analysis, including ancestry-enriched CAMK2D and G6PD signals.

medRxiv · Mar 13, 2024 · PreprintGenetic & Genomic Medicine✦ In-depth digest