Chao-Qiang Lai1, Laurence D Parnell, Jose M Ordovas. 1. Nutrition and Genomics Laboratory, Jean Mayer--US Department of Agriculture, Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts 02111, USA. chao.lai@tufts.edu
Abstract
PURPOSE OF REVIEW: APOA1/C3/A4/A5 are key components modulating lipoprotein metabolism and cardiovascular disease risk. This review examines the evidence regarding linkage disequilibrium and haplotype structure within the A1/C3/A4/A5 cluster, and assesses its association with plasma lipids and cardiovascular disease risk. In addition, we use genomic information from several species to draw inferences about the location of functional variants within this cluster. RECENT FINDINGS: The close physical distance of these genes and the interrelated functions of these apolipoproteins have encumbered attempts to determine the role of individual variants on lipid metabolism. Therefore, current research aims to define linkage disequilibrium and haplotype structure within this cluster. Functional variants in regulatory regions are most interesting as they are potentially amenable to therapy. Comparative genomics can contribute to the identification of such functional variants. SUMMARY: Genetic variability at the APOA1/C3/A4/A5 cluster has been examined in relation to lipid metabolism and cardiovascular disease risk. However, the findings are inconsistent. This is partly due to the classic approach of studying single and mostly nonfunctional polymorphisms. Moreover, allelic expression may depend on the concurrent presence of environmental factors. Association studies using haplotypes should increase the power to detect true associations and interactions. We hypothesize that phenotypes observed in association with transcriptional regulatory variants can be readily modified by environmental factors. Therefore, studies focusing on regulatory variants may be more fruitful to locate/define future therapeutic targets.
PURPOSE OF REVIEW: APOA1/C3/A4/A5 are key components modulating lipoprotein metabolism and cardiovascular disease risk. This review examines the evidence regarding linkage disequilibrium and haplotype structure within the A1/C3/A4/A5 cluster, and assesses its association with plasma lipids and cardiovascular disease risk. In addition, we use genomic information from several species to draw inferences about the location of functional variants within this cluster. RECENT FINDINGS: The close physical distance of these genes and the interrelated functions of these apolipoproteins have encumbered attempts to determine the role of individual variants on lipid metabolism. Therefore, current research aims to define linkage disequilibrium and haplotype structure within this cluster. Functional variants in regulatory regions are most interesting as they are potentially amenable to therapy. Comparative genomics can contribute to the identification of such functional variants. SUMMARY: Genetic variability at the APOA1/C3/A4/A5 cluster has been examined in relation to lipid metabolism and cardiovascular disease risk. However, the findings are inconsistent. This is partly due to the classic approach of studying single and mostly nonfunctional polymorphisms. Moreover, allelic expression may depend on the concurrent presence of environmental factors. Association studies using haplotypes should increase the power to detect true associations and interactions. We hypothesize that phenotypes observed in association with transcriptional regulatory variants can be readily modified by environmental factors. Therefore, studies focusing on regulatory variants may be more fruitful to locate/define future therapeutic targets.
Authors: Zhouji Chen; Matthew C Gropler; Jin Norris; John C Lawrence; Thurl E Harris; Brian N Finck Journal: Arterioscler Thromb Vasc Biol Date: 2008-07-31 Impact factor: 8.311
Authors: Yongjun Liu; Jose M Ordovas; Guimin Gao; Michael Province; Robert J Straka; Michael Y Tsai; Chao-Qiang Lai; Kui Zhang; Ingrid Borecki; James E Hixson; David B Allison; Donna K Arnett Journal: Pharmacogenet Genomics Date: 2009-02 Impact factor: 2.089
Authors: Caren E Smith; Katherine L Tucker; Tammy M Scott; Maria Van Rompay; Josiemer Mattei; Chao-Qiang Lai; Laurence D Parnell; Mireia Junyent; Yu-Chi Lee; Bibiana Garcia-Bailo; José M Ordovás Journal: PLoS One Date: 2009-05-08 Impact factor: 3.240
Authors: Robert Block; James Corsetti; Ilan Goldenberg; Gabriel Vorobiof; Scott McNitt; Daniel Ryan; Wojciech Zareba; Arthur J Moss Journal: Heart Int Date: 2009-06-30
Authors: Mary K Wojczynski; Laurence D Parnell; Toni I Pollin; Chao Q Lai; Mary F Feitosa; Jeff R O'Connell; Alexis C Frazier-Wood; Quince Gibson; Stella Aslibekyan; Kathy A Ryan; Michael A Province; Hemant K Tiwari; Jose M Ordovas; Alan R Shuldiner; Donna K Arnett; Ingrid B Borecki Journal: Metabolism Date: 2015-07-03 Impact factor: 8.694