ReviewCurrent cardiology reports2005
Genetic variation and lipid metabolism: modulation by dietary factors.
Review in Current cardiology reports, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Interaction of genetics risk score and fatty acids quality indices on healthy and unhealthy obesity phenotype.BMC medical genomics · 2025Article
- Nutrigenomics of Dietary Lipids.Antioxidants (Basel, Switzerland) · 2021Review
- Perspective: The Saturated Fat-Unsaturated Oil Dilemma: Relations of Dietary Fatty Acids and Serum Cholesterol, Atherosclerosis, Inflammation, Cancer, and All-Cause Mortality.Advances in nutrition (Bethesda, Md.) · 2021Article
- Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.International journal of obesity supplements · 2020Review
- Association of the tumor necrosis factor-alpha promoter polymorphism with change in triacylglycerol response to sequential meals.Nutrition journal · 2016Article
- Longitudinal study on the association between three dietary indices, anthropometric parameters and blood lipids.Nutrition & metabolism · 2015Article
- Marked variability in hepatic expression of cytochromes CYP7A1 and CYP27A1 as compared to cerebral CYP46A1. Lessons from a dietary study with omega 3 fatty acids in hamsters.Biochimica et biophysica acta · 2010Article
- Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention.The American journal of clinical nutrition · 2009Article
- Genotype-phenotype associations: modulation by diet and obesity.Obesity (Silver Spring, Md.) · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cardiovascular diseases (CVD) result from complex interactions between genetic and environmental factors. The evidence supports that gene-environment interactions modulate plasma lipid concentrations and potentially CVD risk. The findings from studies examining gene-diet interactions and lipid metabolism have been promising. Several loci (eg, APOA1, APOE, LIPC) are providing proof of concept for the application of genetics in the context of personalized nutrition for CVD prevention. The spectrum of candidate genes has been expanding to incorporate those involved in intracellular lipid metabolism (eg, iPPARs, CYP7A1). However, the practical application of these findings is not ready for prime time. There is a compelling need for replication using a higher level of scientific evidence. Moreover, we need to evolve from the simple scenarios examined nowadays (ie, one single dietary component, SNP, and risk factor) to more realistic situations involving multiple interactions. In summary, there is need for both large population studies and well-standardized intervention studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.