Population differences in allele frequencies at the OLR1 locus may suggest geographic disparities in cardiovascular risk events

Irene M. Predazzi, Cristina Martínez-Labarga, Lucia Vecchione, Ruggiero Mango, Cinzia Ciccacci, Francesca Amati, Claudio Ottoni, Michael H. Crawford, Olga Rickards, Francesco Romeo, Giuseppe Novelli

Research output: Contribution to journalArticlepeer-review


Background: Several studies have demonstrated a link between cardiovascular disease (CVD) susceptibility and the genetic background of populations. Endothelial activation and dysfunction induced by oxidized low-density lipoprotein (ox-LDL) is one of the key steps in the initiation of atherosclerosis. The oxidized low density lipoprotein (lectin-like) receptor 1 (OLR1) gene is the main receptor of ox-LDL. We have previously characterized two polymorphisms (rs3736235 and rs11053646) associated with the risk for coronary artery disease (CAD) and acute myocardial infarction (AMI). Aim: Given their clinical significance, it is of interest to know the distribution of these variants in populations from different continents. Subjects and methods: A total of 1229 individuals from 17 different African, Asian and European populations was genotyped for the two considered markers. Results: The high frequencies of ancestral alleles in South-Saharan populations is concordant with the African origin of our species. The results highlight that African populations are closer to Asians, and clearly separated from the Europeans. Conclusion: The results confirm significant genetic structuring among populations and suggest a possible basis for varying susceptibility to CVD among groups correlated with the geographical location of populations linked with the migrations out of Africa, or with different lifestyle.

Original languageEnglish
Pages (from-to)136-148
Number of pages13
JournalAnnals of Human Biology
Issue number2
Publication statusPublished - Apr 28 2010


  • Cardiovascular disease
  • OLR1
  • Single nucleotide polymorphisms

ASJC Scopus subject areas

  • Genetics
  • Physiology
  • Ageing
  • Public Health, Environmental and Occupational Health
  • Epidemiology


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