Literature DB >> 35389779

Single-cell eQTL mapping identifies cell type-specific genetic control of autoimmune disease.

Seyhan Yazar1, Jose Alquicira-Hernandez1,2, Kristof Wing3,4, Alex W Hewitt3,4,5, Joseph E Powell1,6, Anne Senabouth1, M Grace Gordon7,8,9, Stacey Andersen2, Qinyi Lu3, Antonia Rowson3,10, Thomas R P Taylor3, Linda Clarke5, Katia Maccora3,10, Christine Chen10, Anthony L Cook11, Chun Jimmie Ye7,8,9,12,13,14, Kirsten A Fairfax3.   

Abstract

The human immune system displays substantial variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing (scRNA-seq) data from 1,267,758 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we identified 26,597 independent cis-expression quantitative trait loci (eQTLs) and 990 trans-eQTLs, with most showing cell type-specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells that are transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to interindividual variation in immune function. Finally, using a Mendelian randomization approach, we identify the causal route by which 305 risk loci contribute to autoimmune disease at the cellular level. This work brings together genetic epidemiology with scRNA-seq to uncover drivers of interindividual variation in the immune system.

Entities:  

Mesh:

Year:  2022        PMID: 35389779     DOI: 10.1126/science.abf3041

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   63.714


  11 in total

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4.  Single-cell RNA sequencing sheds light on cell-type specific gene expression in immune cells.

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Review 5.  Lessons From Transcriptome Analysis of Autoimmune Diseases.

Authors:  Yasuo Nagafuchi; Haruyuki Yanaoka; Keishi Fujio
Journal:  Front Immunol       Date:  2022-05-18       Impact factor: 8.786

6.  Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis.

Authors:  Diogo M Ribeiro; Chaymae Ziyani; Olivier Delaneau
Journal:  Commun Biol       Date:  2022-08-26

7.  Mathematical model for the relationship between single-cell and bulk gene expression to clarify the interpretation of bulk gene expression data.

Authors:  Daigo Okada; Cheng Zheng; Jian Hao Cheng
Journal:  Comput Struct Biotechnol J       Date:  2022-09-05       Impact factor: 6.155

Review 8.  Insights Into the Host Contribution of Endocrine Associated Immune-Related Adverse Events to Immune Checkpoint Inhibition Therapy.

Authors:  Adrian Chye; India Allen; Megan Barnet; Deborah L Burnett
Journal:  Front Oncol       Date:  2022-07-14       Impact factor: 5.738

9.  Impact of Multiple Sclerosis Risk Polymorphism rs7665090 on MANBA Activity, Lysosomal Endocytosis, and Lymphocyte Activation.

Authors:  Adela González-Jiménez; Pilar López-Cotarelo; Teresa Agudo-Jiménez; Ignacio Casanova; Carlos López de Silanes; Ángeles Martín-Requero; Fuencisla Matesanz; Elena Urcelay; Laura Espino-Paisán
Journal:  Int J Mol Sci       Date:  2022-07-23       Impact factor: 6.208

Review 10.  The role of single-cell genomics in human genetics.

Authors:  Varun K A Sreenivasan; Saranya Balachandran; Malte Spielmann
Journal:  J Med Genet       Date:  2022-07-05       Impact factor: 5.941

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