Sequencing and health data resource of children of African ancestry
Leah Claire KottyaniD, Scott Richards, Morgan E Tracy, Lucinda P. LawsoniD, Isabelle C. Kottyan, Annika Curwin, Beth A. Cobb, Steve Esslinger, Margaret Gerwe, James MorganiD, Alka Chandel, Leksi Travitz, Yongbo Huang, Catherine Black, Agboade Sobowale, Tinu Akintobi, Monica J. MitchelliD, Andrew F. BeckiD, Ndidi I UnakaiD, Michael SeidiD, Sonja Fairbanks, Michelle Adams, Tesfaye Mersha BayeiD, Bahram NamjouiD, Michael W. PauciuloiD, , Kenneth M. KaufmaniD
Abstract
PurposeIndividuals who self-report as Black or African American are historically underrepresented in genome-wide studies of disease risk, a disparity particularly evident in pediatric disease research. To address this gap, Cincinnati Childrens Hospital Medical Center (CCHMC) established a biorepository and developed a comprehensive DNA sequencing resource including 15,684 individuals who self-identified as African American or Black and received care at CCHMC. MethodsParticipants were enrolled through the CCHMC Discover Together Biobank and sequenced. Admixture analyses confirmed the genetic ancestry of the cohort, which was then linked to electronic medical records. ResultsHigh-quality genome-wide genotypes from common variants accompanied by medical record-sourced data are available through the Genomic Information Commons. This dataset performs well in genetic studies. Specifically, we replicated known associations in sickle cell disease (HBB, HGNC:4827, p = 4.05 x 10-{superscript 1}LL), anxiety (PLAAT3, HGNC:17825, p = 6.93 x 10-L), and asthma (PCDH15, HGNC:14674, p = 5.6 x 10-{superscript 1}L), while also identifying novel loci associated with anxiety, asthma, and asthma severity. ConclusionWe present the acquisition and quality of genetic and disease-associated data and present an analytical framework for using this resource. In partnership with a community advisory council, we have co-developed a valuable framework for data use and future research.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 4.01
- Field percentile
- top 11%
- Organism
- Assay
- Research Focus
- Approach
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
- 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
- Predicting the genetic ancestry of 2.6 million New York City patients using clinical data
Vijendra Ramlall, Kayla M. Quinnies, … Nicholas P. Tatonetti·bioRxiv·Sep 14, 2019
- The Biorepository and Integrative Genomics resource for inclusive genomics: insights from a diverse pediatric and admixed cohort
Silvia Buonaiuto, Franco Leonel Marsico, … Vincenza Colonna·medRxiv·Jan 3, 2025
- Novel Genetic Risk factors for Asthma in African American Children: Precision Medicine and The SAGE II Study.
Marquitta J White, Oona Risse-Adams, … Esteban Burchard·ImmunogeneticsPeer-reviewed·May 3, 2016
- Concordance of Race Documented in Electronic Health Records and Genetic Ancestry
Theresa L. Walunas, Jennifer A. Pacheco, … Abel Kho·bioRxiv·Apr 4, 2019
- Building a Vertically-Integrated Genomic Learning Health System: The Colorado Center for Personalized Medicine Biobank
Laura K. Wiley, Jonathan Shortt, … Christopher R. Gignoux·The American Journal of Human GeneticsPeer-reviewed·Jan 1, 2024