Genetic association of long-chain acyl-CoA synthetase 1 variants with fasting glucose, diabetes, and subclinical atherosclerosis

Ani Manichaikul, Xin Qun Wang, Wei Zhao, Mary K. Wojczynski, Kyle Siebenthall, John A. Stamatoyannopoulos, Danish Saleheen, Ingrid B. Borecki, Muredach P. Reilly, Stephen S. Rich, Karin E. Bornfeldt

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Long-chain acyl-CoA synthetase 1 (ACSL1) converts free fatty acids into acyl-CoAs. Mouse studies have revealed that ACSL1 channels acyl-CoAs to β -oxidation, thereby reducing glucose utilization, and is required for diabetesaccelerated atherosclerosis. The role of ACSL1 in humans is unknown. We therefore examined common variants in the human ACSL1 locus by genetic association studies for fasting glucose, diabetes status, and preclinical atherosclerosis by using the MAGIC and DIAGRAM consortia; followed by analyses in participants from the Multi-Ethnic Study of Atherosclerosis, the Penn-T2D consortium, and a meta-analysis of subclinical atherosclerosis in African Americans; and finally, expression quantitative trait locus analysis and identification of DNase I hypersensitive sites (DHS). The results show that three SNPs in ACSL1 (rs7681334, rs735949, and rs4862423) are associated with fasting glucose or diabetes status in these large (>200,000 subjects) data sets. Furthermore, rs4862423 is associated with subclinical atherosclerosis and coincides with a DHS highly accessible in human heart. SNP rs735949 is in strong linkage disequilibrium with rs745805, significantly associated with ACSL1 levels in skin, suggesting tissue-specific regulatory mechanisms. This study provides evidence in humans of ACSL1 SNPs associated with fasting glucose, diabetes, and subclinical atherosclerosis and suggests links among these traits and acyl-CoA synthesis.

Original languageEnglish
Pages (from-to)433-442
Number of pages10
JournalJournal of lipid research
Volume57
Issue number3
DOIs
StatePublished - Mar 2016

Keywords

  • Endocrine disorders
  • Fatty acid
  • Fatty acid/metabolism
  • Genetics
  • Genomics

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