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GWAS does not require the identification of the target gene involved in...

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scAI-SNP: a method for inferring ancestry from single-cell data.

Sung Chul Hong¹, Francesc Muyas², Isidro Cortés-Ciriano²

¹Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA.

Biorxiv : the Preprint Server for Biology

|May 27, 2024

Summary

We developed scAI-SNP, a tool to infer donor ancestry from single-cell genomics data. This method ensures single-cell atlases represent diverse human populations for equitable health outcomes.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

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Published on: October 25, 2018

Area of Science:

Genomics
Population Genetics
Bioinformatics

Background:

Large-scale single-cell data initiatives like the Human Cell Atlas require representative donor ancestry information.
Self-reported race/ethnicity can be biased and is often unavailable for existing datasets.
Accurate ancestry determination is crucial for ensuring genetic diversity in human atlases.

Conclusions:

scAI-SNP provides a reliable method for inferring ancestry from single-cell genomics data.
Ensuring diverse ancestry representation in single-cell atlases is vital for advancing equitable health outcomes.
Integrating genetic ancestry data alongside self-reported race/ethnicity can improve the inclusivity of biomedical research.