Why the study?
The underlying genetic component of risk factors for cardiovascular disease is not well understood.
This study identifies genetic variants associated with obesity traits and lipid levels in Filipino women, providing insights into the molecular mechanisms underlying cardiovascular risk factors.
Novel genetic variants for obesity-related CVD traits extend understanding; leaves open clinical translation pending replication.
The underlying genetic component of risk factors for cardiovascular disease (CVD) is not well understood. Recently, advances in high-throughput genotyping, single nucleotide polymorphism (SNP) discovery, and the development of databases such as the International Haplotype Map (HapMap) have provided scientists with tools to complete a genetic analysis of complex diseases such as CVD. Research presented in this dissertation aims to further understand the genetics of obesity-related traits and lipoprotein levels and identify variants that are associated with these traits in a cohort of adult women from metro Cebu, Philippines, who participated in the Cebu Longitudinal Health and Nutrition Survey (CLHNS). Initially I assess the transferability of tag SNPs chosen from HapMap panels to the CLHNS. I show that the Asian HapMap samples are an effective resource for studies in the CLHNS. I then investigate the association between 19 candidate variants in 10 genes previously reported to be associated with obesity-related traits with similar traits in the CLHNS. We observe evidence for association with the A-allele of rs9939609 of FTO and ADRB3 Trp64-allele with obesity traits. I perform a genome-wide association study for HDL-C, triglycerides, LDL-C, and total cholesterol. Among ~2 million SNPs analyzed, we observe evidence of association for 11 loci previously described. We observe suggestive evidence of trait association (P <10-5) for Tankyrase (TNKS) with LDL-C and Collecting-12 (COLEC12) with total cholesterol. In a separate study, I investigate an HDL-C associated locus, GALNT2, to identify functional variants responsible for the association signal. I identify variants in moderate linkage disequilibrium (r2 >.5) with HDL-C associated SNPs, clone regions that have suggestive regulatory function into a luciferase reporter vector, and measure transcriptional activity in HepG2 cells. The results suggest that a 21 bp deletion, rs4849913, and/or rs2144300 may act to increase the transcriptional activity of GALNT2 or an unknown novel intronic transcript to increase HDL-C. These studies present the first genetic study of CVD traits in the CLHNS and a molecular study of a gene that is associated with HDL-C. Together this research provides a solid foundation for one day identifying the molecular mechanism underlying complex diseases.
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Amanda F. Marvelle (2019) studied this question.
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