Sharing genetic admixture and diversity of public biomedical datasets

Abstract excerpt

Genetic ancestry and admixture are critical co-factors to study phenotype-genotype associations using cohorts of human subjects. Most publically available molecular datasets – genomes, exomes or transcriptomes - are however missing this information or only share self-reported ancestry. This represents a limitation to identify and re-purpose datasets to investigate the contribution of race and ethnicity to diseases...

Topics

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• Chromosome Mapping
• Computational Biology
• Emigration and Immigration
• Gene Expression Profiling
• Polymorphism, Single Nucleotide
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

45332f86-ba06-5a5b-9c38-85c1ee3d0b6b

DOI

10.1101/210716