Descriptor: Synthetic Genomic Dataset With Diverse Ancestry (SynGen6)

Authors

• Xinyue Wang
• Sitao Min
• Jaideep Vaidya

Language

English

Publication Date

1-1-2024

Journal

IEEE Data Descriptions

DOI

10.1109/ieeedata.2024.3505852

PMID

40255935

PMCID

PMC12007885

PubMedCentral® Posted Date

4-18-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

Advancements in genomic analysis techniques and data-driven research are driving precision medicine. However, in many cases, these advances are not equitable and do not help all subpopulations, since many existing genomic datasets lack diversity, limiting their applicability for studying populations beyond those of European ancestry. Thus, to advance genomic analysis and to allow for a fair benchmarking of novel proposed approaches, there is a significant demand for balanced and representative datasets. To address this issue, we developed,

Keywords

ll of Us, diverse subpopulations, genomic analysis, synthetic genomic data

Published Open-Access

yes

Recommended Citation

Xinyue Wang, Sitao Min, and Jaideep Vaidya, "Descriptor: Synthetic Genomic Dataset With Diverse Ancestry (SynGen6)" (2024). Faculty, Staff and Student Publications. 938.
https://digitalcommons.library.tmc.edu/uthshis_docs/938