Functional genomics implicates natural killer cells as potential key drivers in the pathogenesis of ankylosing spondylitis.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
26 Sep 2023
Historique:
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

Multiple lines of evidence indicate that ankylosing spondylitis (AS) is a lymphocyte-driven disease. However, which lymphocyte populations are critical in AS pathogenesis is not known. In this study, we aimed to identify the key cell types mediating the genetic risk in AS using an unbiased integrative functional genomics approach. We integrated GWAS data with epigenomic and transcriptomic datasets of immune cells in healthy humans. To quantify enrichment of cell type-specific open chromatin regions or gene expression in AS risk loci, we used three published methods which have identified cell types for other diseases. Additionally, we performed co-localization analyses between GWAS risk loci and genetic variants associated with gene expression (eQTL) to find putative target genes of AS risk variants. Natural killer (NK) cell-specific open chromatin regions are significantly enriched in heritability for AS, compared to other immune cell types such as T cells, B cells, and monocytes. This finding was consistent between two AS GWAS. Using RNA-seq data, we validated that genes in AS risk loci are enriched in NK cell-specific gene expression. Expression levels of AS-associated genes, such as Our results point to NK cells as potential key drivers in the development of AS and highlight four putative target genes for functional follow-up in NK cells.

Identifiants

pubmed: 37808698
doi: 10.1101/2023.09.21.23295912
pmc: PMC10557806
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAMS NIH HHS
ID : P30 AR070253
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR073201
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI076040
Pays : United States
Organisme : NIAMS NIH HHS
ID : R21 AR079691
Pays : United States

Déclaration de conflit d'intérêts

Disclosures The authors declare they have no relevant conflicts of interest.

Auteurs

Marcos Chiñas (M)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Daniela Fernandez-Salinas (D)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Licenciatura en Ciencias Genomicas, Centro de Ciencias Genomicas, Universidad Nacional Autónoma de México (UNAM), Morelos 62210, Mexico.

Vitor R C Aguiar (VRC)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Victor E Nieto-Caballero (VE)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Licenciatura en Ciencias Genomicas, Centro de Ciencias Genomicas, Universidad Nacional Autónoma de México (UNAM), Morelos 62210, Mexico.

Micah Lefton (M)

Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA 02115, USA.

Peter A Nigrovic (PA)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA 02115, USA.

Joerg Ermann (J)

Harvard Medical School, Boston, MA, USA.
Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA 02115, USA.

Maria Gutierrez-Arcelus (M)

Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Classifications MeSH