2004
DOI: 10.1093/hmg/ddh233
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A common haplotype at the CD36 locus is associated with high free fatty acid levels and increased cardiovascular risk in Caucasians

Abstract: CD36 is a class B scavenger receptor recognizing a variety of ligands including long-chain fatty acids and modified LDL. We investigated whether genetic variability at this locus is a determinant of free fatty acid (FFA) plasma levels and risk of coronary artery disease (CAD) in Caucasians. Typing of 21 polymorphic markers, evenly spanning the CD36 gene, revealed two linkage disequilibrium (LD) blocks that could be tagged by five polymorphisms (-33137A>G, -31118G>A, 25444G>A, 27645del>ins and 30294G>C). In 585… Show more

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Cited by 168 publications
(133 citation statements)
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“…linked to diabetes-associated coronary artery disease (48) and stroke (44), as well as MetS (22). Overall, our findings support an important role of CD36 in the handling of dietary lipids in humans and are consistent with data in CD36-null mice showing defective CM metabolism and persistently high levels of CM remnants (9,(23)(24)(25).…”
Section: 11supporting
confidence: 89%
See 1 more Smart Citation
“…linked to diabetes-associated coronary artery disease (48) and stroke (44), as well as MetS (22). Overall, our findings support an important role of CD36 in the handling of dietary lipids in humans and are consistent with data in CD36-null mice showing defective CM metabolism and persistently high levels of CM remnants (9,(23)(24)(25).…”
Section: 11supporting
confidence: 89%
“…The most significant promoter SNPs identified to influence CM levels and TG clearance (rs1931694, rs13228738, rs3211842) are in strong LD with variants previously associated with MetS or coronary artery disease (22,48,49). Similarly, the 3′UTR variant, rs7755, identified to associate with LDL and to trend with higher CM remnants has been CD36 transcriptional regulator (Fig.…”
Section: Discussionmentioning
confidence: 84%
“…Mutations in CD36 in humans lead to an increased risk of diabetes‐associated cardiovascular disease and metabolic syndrome (Ma et al. 2004; Love‐Gregory et al. 2008).…”
Section: Discussionmentioning
confidence: 99%
“…Other fields have a history of using quantitative risk factors to identify susceptibility genes for disease; for example, cholesterol levels, blood pressure, and body fat have been analyzed to identify genetic risk factors influencing cardiovascular disease (Falchi et al, 2004;Ma et al, 2004). The application of this strategy to the study of psychiatric disorders has been more recent.…”
Section: Discussionmentioning
confidence: 99%