Population genetics meets single-cell sequencing

Tomokazu S Sumida^{1

2}, David A Hafler^{1

2

3}

Affiliations

¹ Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
² Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
³ Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.

Comment

Tomokazu S Sumida et al. Science. 2022.

. 2022 Apr 8;376(6589):134-135.

doi: 10.1126/science.abq0426. Epub 2022 Apr 7.

Tomokazu S Sumida^{1

2}, David A Hafler^{1

2

3}

¹ Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
² Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
³ Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.

Abstract

Single-cell technology can be used to understand the genetic basis of human diseases.

Single-cell eQTL mapping identifies cell type-specific genetic control of autoimmune disease.
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Single-cell RNA-seq reveals cell type-specific molecular and genetic associations to lupus.
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