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Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population

Dyslipidemia, mainly characterized by high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) levels, is an important etiological factor in the development of cardiovascular disease (CVD). Considering the relationship between childhood obesity and CVD risk, it would be worthwhile...

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Autores principales: Go, Min Jin, Hwang, Joo-Yeon, Kim, Dong-Joon, Lee, Hye-Ja, Jang, Han Byul, Park, Kyung-Hee, Song, Jihyun, Lee, Jong-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480684/
https://www.ncbi.nlm.nih.gov/pubmed/23105936
http://dx.doi.org/10.5808/GI.2012.10.2.99
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author Go, Min Jin
Hwang, Joo-Yeon
Kim, Dong-Joon
Lee, Hye-Ja
Jang, Han Byul
Park, Kyung-Hee
Song, Jihyun
Lee, Jong-Young
author_facet Go, Min Jin
Hwang, Joo-Yeon
Kim, Dong-Joon
Lee, Hye-Ja
Jang, Han Byul
Park, Kyung-Hee
Song, Jihyun
Lee, Jong-Young
author_sort Go, Min Jin
collection PubMed
description Dyslipidemia, mainly characterized by high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) levels, is an important etiological factor in the development of cardiovascular disease (CVD). Considering the relationship between childhood obesity and CVD risk, it would be worthwhile to evaluate whether previously identified lipid-related variants in adult subjects are associated with lipid variations in a childhood obesity study (n = 482). In an association analysis for 16 genome-wide association study (GWAS)-based candidate loci, we confirmed significant associations of a genetic predisposition to lipoprotein concentrations in a childhood obesity study. Having two loci (rs10503669 at LPL and rs16940212 at LIPC) that showed the strongest association with blood levels of TG and HDL-C, we calculated a genetic risk score (GRS), representing the sum of the risk alleles. It has been observed that increasing GRS is significantly associated with decreased HDL-C (effect size, -1.13 ± 0.07) compared to single nucleotide polymorphism combinations without two risk variants. In addition, a positive correlation was observed between allelic dosage score and risk allele (rs10503669 at LPL) on high TG levels (effect size, 10.89 ± 0.84). These two loci yielded consistent associations in our previous meta-analysis. Taken together, our findings demonstrate that the genetic architecture of circulating lipid levels (TG and HDL-C) overlap to a large extent in childhood as well as in adulthood. Post-GWAS functional characterization of these variants is further required to elucidate their pathophysiological roles and biological mechanisms.
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spelling pubmed-34806842012-10-26 Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population Go, Min Jin Hwang, Joo-Yeon Kim, Dong-Joon Lee, Hye-Ja Jang, Han Byul Park, Kyung-Hee Song, Jihyun Lee, Jong-Young Genomics Inf Article Dyslipidemia, mainly characterized by high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) levels, is an important etiological factor in the development of cardiovascular disease (CVD). Considering the relationship between childhood obesity and CVD risk, it would be worthwhile to evaluate whether previously identified lipid-related variants in adult subjects are associated with lipid variations in a childhood obesity study (n = 482). In an association analysis for 16 genome-wide association study (GWAS)-based candidate loci, we confirmed significant associations of a genetic predisposition to lipoprotein concentrations in a childhood obesity study. Having two loci (rs10503669 at LPL and rs16940212 at LIPC) that showed the strongest association with blood levels of TG and HDL-C, we calculated a genetic risk score (GRS), representing the sum of the risk alleles. It has been observed that increasing GRS is significantly associated with decreased HDL-C (effect size, -1.13 ± 0.07) compared to single nucleotide polymorphism combinations without two risk variants. In addition, a positive correlation was observed between allelic dosage score and risk allele (rs10503669 at LPL) on high TG levels (effect size, 10.89 ± 0.84). These two loci yielded consistent associations in our previous meta-analysis. Taken together, our findings demonstrate that the genetic architecture of circulating lipid levels (TG and HDL-C) overlap to a large extent in childhood as well as in adulthood. Post-GWAS functional characterization of these variants is further required to elucidate their pathophysiological roles and biological mechanisms. Korea Genome Organization 2012-06 2012-06-30 /pmc/articles/PMC3480684/ /pubmed/23105936 http://dx.doi.org/10.5808/GI.2012.10.2.99 Text en Copyright © 2012 by The Korea Genome Organization http://creativecommons.org/licenses/by-nc/3.0 It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Article
Go, Min Jin
Hwang, Joo-Yeon
Kim, Dong-Joon
Lee, Hye-Ja
Jang, Han Byul
Park, Kyung-Hee
Song, Jihyun
Lee, Jong-Young
Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title_full Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title_fullStr Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title_full_unstemmed Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title_short Effect of Genetic Predisposition on Blood Lipid Traits Using Cumulative Risk Assessment in the Korean Population
title_sort effect of genetic predisposition on blood lipid traits using cumulative risk assessment in the korean population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480684/
https://www.ncbi.nlm.nih.gov/pubmed/23105936
http://dx.doi.org/10.5808/GI.2012.10.2.99
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