medRxivGenetic & Genomic MedicinePreprint
The Biorepository and Integrative Genomics resource for inclusive genomics: insights from a diverse pediatric and admixed cohort
Silvia BuonaiutoiD, Franco Leonel MarsicoiD, Akram MohammediD, Lokesh K. ChinthalaiD, Ernestine Kubi Amos-AbanyieiD, Pjotr PrinsiD, Kyobeni Mozhui, Robert J. RooneyiD, Robert W. WilliamsiD, Robert Lowell DavisiD, Terri Helman FinkeliD, Chester BrowniD, Vincenza ColonnaiD
Abstract
The Biorepository and Integrative Genomics (BIG) Initiative in Tennessee has developed a pioneering resource to address gaps in genomic research by linking genomic, phenotypic, and environmental data from a diverse Mid-South population, including underrepresented groups. We analyzed 13,152 exomes from BIG and found significant genetic diversity, with 50% of participants inferred to have non-European or several types of admixed ancestry. Ancestry within the BIG cohort is stratified, with distinct geographic and demographic patterns, as African ancestry is more common in urban areas, while European ancestry is more common in suburban regions. We observe ancestry-specific rates of novel genetic variants, which are enriched for functional or clinical relevance. Disease prevalence analysis linked ancestry and environmental factors, showing higher odds ratios for asthma and obesity in minority groups, particularly in the urban area. Finally, we observe discrepancies between self-reported race and genetic ancestry, with related individuals self-identifying in differing racial categories. These findings underscore the limitations of race as a biomedical variable. BIG has proven to be an effective model for community-centered precision medicine. We integrated genomics education, and fostered great trust among the contributing communities. Future goals include cohort expansion, and enhanced genomic analysis, to ensure equitable healthcare outcomes.
- organism: human
- assay: whole-exome sequencing
- research focus: GWAS / association mapping
- research focus: variant effect prediction
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Subcontinental Genetic Diversity in the All of Us Research Program: Implications for Biomedical Research
Mateus Henrique Gouveia, Karlijn A. C. Meeks, … Charles N. Rotimi·bioRxiv·Jan 9, 2025
- Sequencing and health data resource of children of African ancestry
Leah Claire Kottyan, Scott Richards, … Kenneth M. Kaufman·Genetics in MedicinePeer-reviewed·Mar 1, 2026
- Genetic ancestry and population structure in the All of Us Research Program cohort
Shivam Sharma, Shashwat Deepali Nagar, … I. King Jordan·Nature CommunicationsPeer-reviewed·May 3, 2025
- Decoding Genetics, Ancestry, and Geospatial Context for Precision Health
Satoshi Koyama, Ying Wang, … Pradeep Natarajan·medRxiv·Oct 24, 2023
- The Great Migration and African-American genomic diversity
Soheil Baharian, Maxime Barakatt, … Simon Gravel·PLOS GeneticsPeer-reviewed·May 27, 2016
- Genome sequencing of 35,024 predominantly African ancestry persons addresses gaps in genomics and healthcare
Cecile Avery, Mojgan Babanejad, … Consuelo Hopkins Wilkins·medRxiv·Oct 30, 2025