ArticlePloS one2018
Interactions among genes involved in reverse cholesterol transport and in the response to environmental factors in dyslipidemia in subjects from the Xinjiang rural area.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Context-Dependent Associations of theInternational journal of molecular sciences · 2026Pooled it
- Dyslipidemia among HIV-infected patients in Ethiopia: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis.Frontiers in cardiovascular medicine · 2021Pooled it
- Identification and Molecular Simulation of Genetic Variants inInternational journal of molecular sciences · 2024Article
- Revealing the Role of High-Density Lipoprotein in Colorectal Cancer.International journal of molecular sciences · 2021Review
- Microarray analysis of long non-coding RNA expression profiles in low high-density lipoprotein cholesterol disease.Lipids in health and disease · 2020Article
- Intravenous laser wavelength radiation effect on LCAT, PON1, catalase, and FRAP in diabetic rats.Lasers in medical science · 2020Article
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Authors and funding
17 authors at 1 institution in 1 country.
Funding
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Abstract
Gene-gene and gene-environment interactions may be partially responsible for dyslipidemia, but studies investigating interactions in the reverse cholesterol transport system (RCT) are limited. We explored these interactions in a Xinjiang rural population by genotyping five SNPs using SNPShot technique in APOA1, ABCA1, and LCAT, which are involved in the RCT (690 patients, 743 controls). We conducted unconditional logistical regression analysis to evaluate associations and generalized multifactor dimensionality reduction to evaluate interactions. Results revealed significant differences in rs670 and rs2292318 allele frequencies between cases and controls (P<0.025). rs670 G allele carriers were more likely to develop dyslipidemia than A allele carriers (OR = 1.315, OR 95% CI: 1.067-2.620; P = 0.010). rs2292318 T allele carriers were more likely to develop dyslipidemia than A allele carriers (OR = 1.264, OR 95% CI: 1.037-1.541; P = 0.020). Gene-gene interaction model APOA1rs670-ABCA1rs1800976-ABCA1rs4149313-LCATrs1109166 (P = 0.0107) and gene-environment interaction model ABCA1rs1800976-ABCA1rs4149313-LCATrs1109166-obesity-smoking were optimal dyslipidemia predictors (P = 0.0107) and can interact (4). Differences in A-C-A-C-A and G-G-G-T-G haplotype frequencies were observed (P<0.05). Serum lipid profiles could be partly attributed to RCT gene polymorphisms. Thus, dyslipidemia is influenced by APOA1, ABCA1, LCAT, environmental factors, and their interactions.
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