ArticleJournal of the neurological sciences2014
Novel genetic variants modify the effect of smoking on carotid plaque burden in Hispanics.
Article in Journal of the neurological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families.Atherosclerosis · 2019Article
- Novel and Known Gene-Smoking Interactions With cIMT Identified as Potential Drivers for Atherosclerosis Risk in West-African Populations of the AWI-Gen Study.Frontiers in genetics · 2019Article
- Association of single nucleotide polymorphisms inBioscience reports · 2018Article
- Genetic susceptibility to cerebrovascular disease.Current opinion in lipidology · 2016Review
- Genetic variants in LEKR1 and GALNT10 modulate sex-difference in carotid intima-media thickness: a genome-wide interaction study.Atherosclerosis · 2015Article
- Cigarette Smoking and Carotid Plaque Echodensity in the Northern Manhattan Study.Cerebrovascular diseases (Basel, Switzerland) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
background and purposeSmoking greatly increases the risk of atherosclerotic plaque and the effect may vary from individual to individual. A genome-wide scan was performed for smoking×single nucleotide polymorphism (SNP) interactions on carotid plaque burden (CPB) to identify the potential genetic moderators in Hispanics.
methodsCarotid B-mode ultrasonography and genotyping by the Affymetrix 6.0 chip were performed in a discovery sample of 665 Caribbean Hispanics, followed by replication analyses in 264 Caribbean Hispanics. CPB was expressed as the sum of plaque areas over the segments in common and internal carotid arteries and bifurcation. Smoking was classified as 0, <20, and ≥20 cigarette pack-years. Assuming an additive genetic model, regression analysis was conducted to test for smoking×SNP interaction on the cube root transformed CPB while controlling for age, sex, and the top 3 principal components of ancestry.
resultsTwo SNPs showed a significant interaction with smoking on CPB with the similar effects in both discovery (P<1.0E-5) and replication (P<0.05) populations. Specifically, for SNP rs10205487 within MXD1, more smoking was significantly associated with greater CPB in A allele carriers (beta±SE: 0.24±0.08, P=0.005 in AG carriers; beta±SE: 0.48±0.12, P=0.0002 in AA carriers) but not in GG (P=0.06). For SNP rs7001413 within LY96 and JPH1, more smoking was significantly associated with greater CPB in GG carriers (beta±SE: 0.24±0.06, P=6.8E-5) but not in T carriers (P=0.06).
conclusionsOur study suggests that genetic variants may modulate the effect of smoking on CPB and highlights several genes for further investigation of their role in atherosclerosis, especially in smoking population.
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.