Prediction of cholesterol ratios within a Korean population
Cholesterol ratios (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) and triglyceride (TG)/HDL-c) have been suggested as better indicators to predict various clinical features such as insulin resistance and heart disease. Therefore, we aimed to build a single nucleotide polymorphi...
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| Format: | Article |
| Language: | English |
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The Royal Society
2018-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171204 |
| _version_ | 1818259093233598464 |
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| author | Jin Sol Lee Hyun Sub Cheong Hyoung Doo Shin |
| author_facet | Jin Sol Lee Hyun Sub Cheong Hyoung Doo Shin |
| author_sort | Jin Sol Lee |
| collection | DOAJ |
| description | Cholesterol ratios (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) and triglyceride (TG)/HDL-c) have been suggested as better indicators to predict various clinical features such as insulin resistance and heart disease. Therefore, we aimed to build a single nucleotide polymorphism (SNP) set to predict constitutional lipid metabolism. The genotype data of 7795 samples were obtained from the Korea Association Resource. Among the total of 7795 samples, 7016 subjects were used to perform 10-fold cross-validation. We selected the SNPs that showed significance constantly throughout all 10 cross-validation sets; another 779 samples were used as the final validation set. After performing the 10-fold cross-validation, the six SNPs (rs4420638 (APOC1), rs12421652 (BUD13), rs17411126 (LPL), rs6589566 (ZPR1), rs16940212 (LOC101928635) and rs10852765 (ABCA8)) were finally selected for predicting cholesterol ratios. The weighted genetic risk scores (wGRS) were calculated based on the regression slopes of the six selected SNPs. Our results showed upward trends of wGRS for both the TC/HDL-c and TG/HDL-c ratios within the 10-fold cross-validation. Similarly, the wGRS of the six SNPs also showed upward trends in analyses using the SNP selection set and final validation set. The selected six SNPs can be used to explain both the TC/HDL-c and TG/HDL-c ratios. Our results may be useful for the prospective predictions of cholesterol-related diseases. |
| first_indexed | 2024-12-12T18:09:57Z |
| format | Article |
| id | doaj.art-624fd4f594624019b307d21d6c0e6a87 |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-12-12T18:09:57Z |
| publishDate | 2018-01-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-624fd4f594624019b307d21d6c0e6a872022-12-22T00:16:24ZengThe Royal SocietyRoyal Society Open Science2054-57032018-01-015110.1098/rsos.171204171204Prediction of cholesterol ratios within a Korean populationJin Sol LeeHyun Sub CheongHyoung Doo ShinCholesterol ratios (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) and triglyceride (TG)/HDL-c) have been suggested as better indicators to predict various clinical features such as insulin resistance and heart disease. Therefore, we aimed to build a single nucleotide polymorphism (SNP) set to predict constitutional lipid metabolism. The genotype data of 7795 samples were obtained from the Korea Association Resource. Among the total of 7795 samples, 7016 subjects were used to perform 10-fold cross-validation. We selected the SNPs that showed significance constantly throughout all 10 cross-validation sets; another 779 samples were used as the final validation set. After performing the 10-fold cross-validation, the six SNPs (rs4420638 (APOC1), rs12421652 (BUD13), rs17411126 (LPL), rs6589566 (ZPR1), rs16940212 (LOC101928635) and rs10852765 (ABCA8)) were finally selected for predicting cholesterol ratios. The weighted genetic risk scores (wGRS) were calculated based on the regression slopes of the six selected SNPs. Our results showed upward trends of wGRS for both the TC/HDL-c and TG/HDL-c ratios within the 10-fold cross-validation. Similarly, the wGRS of the six SNPs also showed upward trends in analyses using the SNP selection set and final validation set. The selected six SNPs can be used to explain both the TC/HDL-c and TG/HDL-c ratios. Our results may be useful for the prospective predictions of cholesterol-related diseases.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171204predictiontotal cholesteroltriglyceridehdl |
| spellingShingle | Jin Sol Lee Hyun Sub Cheong Hyoung Doo Shin Prediction of cholesterol ratios within a Korean population Royal Society Open Science prediction total cholesterol triglyceride hdl |
| title | Prediction of cholesterol ratios within a Korean population |
| title_full | Prediction of cholesterol ratios within a Korean population |
| title_fullStr | Prediction of cholesterol ratios within a Korean population |
| title_full_unstemmed | Prediction of cholesterol ratios within a Korean population |
| title_short | Prediction of cholesterol ratios within a Korean population |
| title_sort | prediction of cholesterol ratios within a korean population |
| topic | prediction total cholesterol triglyceride hdl |
| url | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171204 |
| work_keys_str_mv | AT jinsollee predictionofcholesterolratioswithinakoreanpopulation AT hyunsubcheong predictionofcholesterolratioswithinakoreanpopulation AT hyoungdooshin predictionofcholesterolratioswithinakoreanpopulation |