2022
DOI: 10.3389/fnut.2022.956900
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Plasma polyunsaturated fatty acid concentrations and sleep apnea risk: A two-sample Mendelian randomization study

Abstract: BackgroundPrevious observational studies have found that lower levels of circulating polyunsaturated fatty acids (PUFAs) were associated with a higher risk of sleep apnea (SA). However, the causality of the association remains unclear.Materials and methodsWe used the two-sample Mendelian randomization (MR) study to assess the causal association of omega-3 and omega-6 fatty acids with SA. Single-nucleotide polymorphisms (SNPs) predicting the plasma level of PUFAs at the suggestive genome-wide significance level… Show more

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Cited by 3 publications
(3 citation statements)
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“…Numerous previous studies have employed MR to determine the causal relationship between LA and various diseases, including but not limited to cardiovascular diseases, sleep apnea, and sepsis (22)(23)(24). However, current evidence regarding linoleic acid and T2D primarily stems from cohort studies, with results and views exhibiting evident contradictions and conflicts (10)(11)(12)(13)(14).…”
Section: Discussionmentioning
confidence: 99%
“…Numerous previous studies have employed MR to determine the causal relationship between LA and various diseases, including but not limited to cardiovascular diseases, sleep apnea, and sepsis (22)(23)(24). However, current evidence regarding linoleic acid and T2D primarily stems from cohort studies, with results and views exhibiting evident contradictions and conflicts (10)(11)(12)(13)(14).…”
Section: Discussionmentioning
confidence: 99%
“…In this research, the chosen SNPs related to total omega-3, DHA, EPA, total omega-6, LA, and AA were located within or in close proximity to genes involved in lipid transport and metabolism in a broader sense ( Supplementary Files 3–8 ). Consequently, traits associated with lipid metabolism, such as BMI, HDL, LDL, and triglycerides, are considered potential confounders for the risk of ARDs ( 40 ). BMI data were obtained by analyzing results from the largest meta-analysis of genome-wide association studies (GWASs) for BMI, which included summary statistics from the Genetic Investigation of Anthropometric Traits (GIANT) consortium ( 41 ) combined with GWAS data on BMI from UK Biobank participants of European descent, totaling approximately 700,000 individual ( 42 ).…”
Section: Methodsmentioning
confidence: 99%
“…MR analysis can reduce confounding factors by incorporating genetic markers as instrumental variables (IVs) through random segregation and an independent assortment of genetic polymorphisms during conception ( 19 , 20 ). Causality exploration is made possible by large-scale genome-wide association studies (GWAS) ( 21 ). To assess the causal relationship between the gut microbiota and hypothyroidism, a two-sample MR analysis was conducted using summary statistics from GWAS conducted by the MiBioGen and FinnGen consortia.…”
Section: Introductionmentioning
confidence: 99%