Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organs.


Journal

Human genetics
ISSN: 1432-1203
Titre abrégé: Hum Genet
Pays: Germany
ID NLM: 7613873

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 16 10 2022
accepted: 30 06 2023
medline: 21 9 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

Identifying causal genes at GWAS loci can help pinpoint targets for therapeutic interventions. Expression studies can disentangle such loci but signals from expression quantitative trait loci (eQTLs) often fail to colocalize-which means that the genetic control of measured expression is not shared with the genetic control of disease risk. This may be because gene expression is measured in the wrong cell type, physiological state, or organ. We tested whether Mendelian randomization (MR) could identify genes at loci influencing COVID-19 outcomes and whether the colocalization of genetic control of expression and COVID-19 outcomes was influenced by cell type, cell stimulation, and organ. We conducted MR of cis-eQTLs from single cell (scRNA-seq) and bulk RNA sequencing. We then tested variables that could influence colocalization, including cell type, cell stimulation, RNA sequencing modality, organ, symptoms of COVID-19, and SARS-CoV-2 status among individuals with symptoms of COVID-19. The outcomes used to test colocalization were COVID-19 severity and susceptibility as assessed in the Host Genetics Initiative release 7. Most transcripts identified using MR did not colocalize when tested across cell types, cell state and in different organs. Most that did colocalize likely represented false positives due to linkage disequilibrium. In general, colocalization was highly variable and at times inconsistent for the same transcript across cell type, cell stimulation and organ. While we identified factors that influenced colocalization for select transcripts, identifying 33 that mediate COVID-19 outcomes, our study suggests that colocalization of expression with COVID-19 outcomes is partially due to noisy signals even after following quality control and sensitivity testing. These findings illustrate the present difficulty of linking expression transcripts to disease outcomes and the need for skepticism when observing eQTL MR results, even accounting for cell types, stimulation state and different organs.

Identifiants

pubmed: 37640912
doi: 10.1007/s00439-023-02590-w
pii: 10.1007/s00439-023-02590-w
pmc: PMC10511363
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1461-1476

Subventions

Organisme : CIHR
ID : CIHR: 365825; 409511
Pays : Canada
Organisme : CIHR
ID : 100558
Pays : Canada
Organisme : CIHR
ID : 169303
Pays : Canada
Organisme : CIHR
ID : 476575
Pays : Canada
Organisme : CIHR
ID : CIHR: 365825; 409511
Pays : Canada
Organisme : CIHR
ID : 100558
Pays : Canada
Organisme : CIHR
ID : 169303
Pays : Canada
Organisme : CIHR
ID : 476575
Pays : Canada

Informations de copyright

© 2023. The Author(s).

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Auteurs

Julian Daniel Sunday Willett (JDS)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
McGill University, Montreal, QC, Canada.
Quantitative Life Sciences Program, McGill University, Montreal, QC, Canada.
Genome Centre, McGill University, Montreal, QC, Canada.

Tianyuan Lu (T)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
McGill University, Montreal, QC, Canada.
Quantitative Life Sciences Program, McGill University, Montreal, QC, Canada.
Genome Centre, McGill University, Montreal, QC, Canada.

Tomoko Nakanishi (T)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
McGill University, Montreal, QC, Canada.
Department of Human Genetics, McGill University, Montreal, QC, Canada.
Graduate School of Medicine, Kyoto-McGill International Collaborative Program in Genomic Medicine, Kyoto University, Kyoto, Japan.
Japan Society for the Promotion of Science, Tokyo, Japan.
Genome Centre, McGill University, Montreal, QC, Canada.

Satoshi Yoshiji (S)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
McGill University, Montreal, QC, Canada.
Department of Human Genetics, McGill University, Montreal, QC, Canada.
Graduate School of Medicine, Kyoto-McGill International Collaborative Program in Genomic Medicine, Kyoto University, Kyoto, Japan.
Japan Society for the Promotion of Science, Tokyo, Japan.
Genome Centre, McGill University, Montreal, QC, Canada.

Guillaume Butler-Laporte (G)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.

Sirui Zhou (S)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
McGill University, Montreal, QC, Canada.
Genome Centre, McGill University, Montreal, QC, Canada.

Yossi Farjoun (Y)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada.
Genome Centre, McGill University, Montreal, QC, Canada.

J Brent Richards (JB)

Centre for Clinical Epidemiology, Department of Medicine, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Cote Ste Catherine, Pavillon H-413, Montréal, Québec, H3T 1E2, Canada. brent.richards@mcgill.ca.
McGill University, Montreal, QC, Canada. brent.richards@mcgill.ca.
Genome Centre, McGill University, Montreal, QC, Canada. brent.richards@mcgill.ca.
Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, McGill University, Montréal, QC, Canada. brent.richards@mcgill.ca.
Department of Twin Research, King's College London, London, UK. brent.richards@mcgill.ca.
Five Prime Sciences Inc, Montréal, Québec, Canada. brent.richards@mcgill.ca.

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