CpG-set association assessment of lipid concentration changes and DNA methylation
Abstract Epigenome association studies that test a large number of methylation sites suffer from stringent multiple-testing corrections. This study’s goals were to investigate region-based associations between DNA methylation sites and lipid-level changes in response to the treatment with fenofibrat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2018-09-01
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| Series: | BMC Proceedings |
| Online Access: | http://link.springer.com/article/10.1186/s12919-018-0127-8 |
| _version_ | 1818921212336668672 |
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| author | Kaiqiong Zhao Lai Jiang Kathleen Klein Celia M. T. Greenwood Karim Oualkacha |
| author_facet | Kaiqiong Zhao Lai Jiang Kathleen Klein Celia M. T. Greenwood Karim Oualkacha |
| author_sort | Kaiqiong Zhao |
| collection | DOAJ |
| description | Abstract Epigenome association studies that test a large number of methylation sites suffer from stringent multiple-testing corrections. This study’s goals were to investigate region-based associations between DNA methylation sites and lipid-level changes in response to the treatment with fenofibrate in the GAW20 data and to investigate whether improvements in power could be obtained by taking into account correlations between DNA methylation at neighboring cytosine-phosphate-guanine (CpG) sites. To this end, we applied both a recently developed block-based data-dimension-reduction approach and a region-based variance-component (VC) linear mixed model to GAW20 data. We compared analyses of unrelated individuals with familial data. The region-based VC approach using unrelated (independent) individuals identified the gene LGALS9C as significantly associated with changes in triglycerides. However, univariate tests of individual CpG sites yielded no valid statistically significant results. |
| first_indexed | 2024-12-20T01:34:03Z |
| format | Article |
| id | doaj.art-6527a2c614094557ac7d72d3a4cc7e69 |
| institution | Directory Open Access Journal |
| issn | 1753-6561 |
| language | English |
| last_indexed | 2024-12-20T01:34:03Z |
| publishDate | 2018-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Proceedings |
| spelling | doaj.art-6527a2c614094557ac7d72d3a4cc7e692022-12-21T19:58:03ZengBMCBMC Proceedings1753-65612018-09-0112S9919610.1186/s12919-018-0127-8CpG-set association assessment of lipid concentration changes and DNA methylationKaiqiong Zhao0Lai Jiang1Kathleen Klein2Celia M. T. Greenwood3Karim Oualkacha4Department of Epidemiology, Biostatistics and Occupational Health, McGill UniversityDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityLady Davis Institute for Medical Research, Jewish General HospitalDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityDepartment of Mathematics, Université du Québec à MontréalAbstract Epigenome association studies that test a large number of methylation sites suffer from stringent multiple-testing corrections. This study’s goals were to investigate region-based associations between DNA methylation sites and lipid-level changes in response to the treatment with fenofibrate in the GAW20 data and to investigate whether improvements in power could be obtained by taking into account correlations between DNA methylation at neighboring cytosine-phosphate-guanine (CpG) sites. To this end, we applied both a recently developed block-based data-dimension-reduction approach and a region-based variance-component (VC) linear mixed model to GAW20 data. We compared analyses of unrelated individuals with familial data. The region-based VC approach using unrelated (independent) individuals identified the gene LGALS9C as significantly associated with changes in triglycerides. However, univariate tests of individual CpG sites yielded no valid statistically significant results.http://link.springer.com/article/10.1186/s12919-018-0127-8 |
| spellingShingle | Kaiqiong Zhao Lai Jiang Kathleen Klein Celia M. T. Greenwood Karim Oualkacha CpG-set association assessment of lipid concentration changes and DNA methylation BMC Proceedings |
| title | CpG-set association assessment of lipid concentration changes and DNA methylation |
| title_full | CpG-set association assessment of lipid concentration changes and DNA methylation |
| title_fullStr | CpG-set association assessment of lipid concentration changes and DNA methylation |
| title_full_unstemmed | CpG-set association assessment of lipid concentration changes and DNA methylation |
| title_short | CpG-set association assessment of lipid concentration changes and DNA methylation |
| title_sort | cpg set association assessment of lipid concentration changes and dna methylation |
| url | http://link.springer.com/article/10.1186/s12919-018-0127-8 |
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