A polyclonal allelic expression assay for detecting regulatory effects of transcript variants.


Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
11 09 2020
Historique:
received: 20 09 2019
accepted: 19 08 2020
entrez: 11 9 2020
pubmed: 12 9 2020
medline: 4 8 2021
Statut: epublish

Résumé

We present an assay to experimentally test the regulatory effects of genetic variants within transcripts using CRISPR/Cas9 followed by targeted sequencing. We applied the assay to 32 premature stop-gained variants across the genome and in two Mendelian disease genes, 33 putative causal variants of eQTLs, and 62 control variants in HEK293T cells, replicating a subset of variants in HeLa cells. We detected significant effects in the expected direction (in 60% of variants), demonstrating the ability of the assay to capture regulatory effects of eQTL variants and nonsense-mediated decay triggered by premature stop-gained variants. The results suggest a utility for validating transcript-level effects of genetic variants.

Identifiants

pubmed: 32912286
doi: 10.1186/s13073-020-00777-8
pii: 10.1186/s13073-020-00777-8
pmc: PMC7488413
doi:

Banques de données

figshare
['10.6084/m9.figshare.9883232']

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

79

Subventions

Organisme : NIA NIH HHS
ID : R01 AG057422
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM008224
Pays : United States
Organisme : NIH HHS
ID : R01MH106842
Pays : United States
Organisme : NIH HHS
ID : R01GM122924
Pays : United States

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Auteurs

Margot Brandt (M)

New York Genome Center, New York, NY, USA.
Department of Systems Biology, Columbia University, New York, NY, USA.

Alper Gokden (A)

New York Genome Center, New York, NY, USA.

Marcello Ziosi (M)

New York Genome Center, New York, NY, USA.

Tuuli Lappalainen (T)

New York Genome Center, New York, NY, USA. tlappalainen@nygenome.org.
Department of Systems Biology, Columbia University, New York, NY, USA. tlappalainen@nygenome.org.

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Classifications MeSH