Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C.
Chromatin conformation
Epigenetics
Insulin secretion
SMCO4
Type 2 diabetes
Variant to gene mapping
Journal
Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777
Informations de publication
Date de publication:
06 Sep 2024
06 Sep 2024
Historique:
received:
28
03
2024
accepted:
04
07
2024
medline:
6
9
2024
pubmed:
6
9
2024
entrez:
6
9
2024
Statut:
aheadofprint
Résumé
Genome-wide association studies (GWAS) have identified hundreds of type 2 diabetes loci, with the vast majority of signals located in non-coding regions; as a consequence, it remains largely unclear which 'effector' genes these variants influence. Determining these effector genes has been hampered by the relatively challenging cellular settings in which they are hypothesised to confer their effects. To implicate such effector genes, we elected to generate and integrate high-resolution promoter-focused Capture-C, assay for transposase-accessible chromatin with sequencing (ATAC-seq) and RNA-seq datasets to characterise chromatin and expression profiles in multiple cell lines relevant to type 2 diabetes for subsequent functional follow-up analyses: EndoC-BH1 (pancreatic beta cell), HepG2 (hepatocyte) and Simpson-Golabi-Behmel syndrome (SGBS; adipocyte). The subsequent variant-to-gene analysis implicated 810 candidate effector genes at 370 type 2 diabetes risk loci. Using partitioned linkage disequilibrium score regression, we observed enrichment for type 2 diabetes and fasting glucose GWAS loci in promoter-connected putative cis-regulatory elements in EndoC-BH1 cells as well as fasting insulin GWAS loci in SGBS cells. Moreover, as a proof of principle, when we knocked down expression of the SMCO4 gene in EndoC-BH1 cells, we observed a statistically significant increase in insulin secretion. These results provide a resource for comparing tissue-specific data in tractable cellular models as opposed to relatively challenging primary cell settings. Raw and processed next-generation sequencing data for EndoC-BH1, HepG2, SGBS_undiff and SGBS_diff cells are deposited in GEO under the Superseries accession GSE262484. Promoter-focused Capture-C data are deposited under accession GSE262496. Hi-C data are deposited under accession GSE262481. Bulk ATAC-seq data are deposited under accession GSE262479. Bulk RNA-seq data are deposited under accession GSE262480.
Identifiants
pubmed: 39240351
doi: 10.1007/s00125-024-06261-x
pii: 10.1007/s00125-024-06261-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Children's Hospital of Philadephia
ID : Daniel B. Burke Endowed Chair for Diabetes Researc
Organisme : Eunice Kennedy Shriver National Institute of Child Health and Human Development
ID : R01HD056465
Organisme : NIDDK NIH HHS
ID : UM1 DK126194
Pays : United States
Informations de copyright
© 2024. The Author(s).
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