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Genome-Wide Association Study Identifies Genetic Loci Associated With Fat Cell Number and Overlap With Genetic Risk Loci for Type 2 Diabetes
Author(s) -
Agné Kulyté,
Alisha Aman,
Rona J. Strawbridge,
Peter Arner,
Ingrid Dahlman
Publication year - 2022
Publication title -
diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.219
H-Index - 330
eISSN - 1939-327X
pISSN - 0012-1797
DOI - 10.2337/db21-0804
Subject(s) - single nucleotide polymorphism , genome wide association study , biology , genetic association , snp , genetics , candidate gene , adipocyte , type 2 diabetes , genotype , adipose tissue , gene , endocrinology , diabetes mellitus
Interindividual differences in generation of new fat cells determine body fat and type 2 diabetes risk. We utilized the GENiAL cohort, which consists of participants who have undergone abdominal adipose biopsy, to perform a genome-wide association study (GWAS) of fat cell number (n=896). Candidate genes from the genetic study were knocked down by siRNA in human adipose derived stem cells. We report 318 SNPs and 17 genetic loci displaying suggestive (p<1x10-5) association with fat cell number. Two loci pass threshold for GWAS-significance, on chromosome 2 (lead SNP rs149660479-G) and 7 (rs147389390-deletion). We filtered for fat cell number-associated SNPs (p<1.00x10-5) using evidence of genotype-specific expression. Where this was observed we selected genes for follow-up investigation and hereby identified SPATS2L and KCTD18 as regulators of cell proliferation consistent with the genetic data. Furthermore, 30 reported type 2 diabetes-associated SNPs displayed nominal and consistent associations with fat cell number. Functional follow up of candidate genes identified RPL8, HSD17B12 and PEPD displaying effects on cell proliferation consistent with genetic association and gene expression findings. In conclusion findings presented herein identify SPATS2L, KCTD18, RPL8, HSD17B12, and PEPD of potential importance in controlling fat cell numbers (plasticity), the size of body fat and diabetes risk.

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