ArticleBMC genomics2014
Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01231958 (The Boston Puerto Rican Health Study), which is not on this map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Boston Puerto Rican Health Study: Center for Population Health and Health Disparities
Who cites it
5 citing papers in PubMed.
- Identification of gene-sex hormone interactions associated with type 2 diabetes among men and women.PLoS genetics · 2025Article
- Genome-Wide Association Study for Weight-Related Traits inAnimals : an open access journal from MDPI · 2025Article
- Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle.BMC genomics · 2022Article
- Article
- CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits.BioData mining · 2014Article
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Authors and funding
14 authors.
Funding
Abstract
backgroundLittle is known about the interplay between n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level. The present study aimed to examine variance contributions of genotype by environment (GxE) interactions for different erythrocyte n-3 fatty acids and genetic variants for diabetes-related traits at the genome-wide level in a non-Hispanic white population living in the U.S.A. (n = 820). A tool for Genome-wide Complex Trait Analysis (GCTA) was used to estimate the genome-wide GxE variance contribution of four diabetes-related traits: HOMA-Insulin Resistance (HOMA-IR), fasting plasma insulin, glucose and adiponectin. A GxE genome-wide association study (GWAS) was conducted to further elucidate the GCTA results. Replication was conducted in the participants of the Boston Puerto Rican Health Study (BPRHS) without diabetes (n = 716).
resultsIn GOLDN, docosapentaenoic acid (DPA) contributed the most significant GxE variance to the total phenotypic variance of both HOMA-IR (26.5%, P-nominal = 0.034) and fasting insulin (24.3%, P-nominal = 0.042). The ratio of arachidonic acid to eicosapentaenoic acid + docosahexaenoic acid contributed the most significant GxE variance to the total variance of fasting glucose (27.0%, P-nominal = 0.023). GxE variance of the arachidonic acid/eicosapentaenoic acid ratio showed a marginally significant contribution to the adiponectin variance (16.0%, P-nominal = 0.058). None of the GCTA results were significant after Bonferroni correction (P < 0.001). For each trait, the GxE GWAS identified a far larger number of significant single-nucleotide polymorphisms (P-interaction ≤ 10E-5) for the significant E factor (significant GxE variance contributor) than a control E factor (non-significant GxE variance contributor). In the BPRHS, DPA contributed a marginally significant GxE variance to the phenotypic variance of HOMA-IR (12.9%, P-nominal = 0.068) and fasting insulin (18.0%, P-nominal = 0.033).
conclusionErythrocyte n-3 fatty acids contributed a significant GxE variance to diabetes-related traits at the genome-wide level.
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