ArticleEuropean journal of human genetics : EJHG2016
Increased genetic risk for obesity in premature coronary artery disease.
Article in European journal of human genetics : EJHG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mendelian randomization studies on coronary artery disease: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- The effect of periodic resistance training on obese patients with type 2 diabetic nephropathy.Scientific reports · 2024Trial
- The effect of periodic ketogenic diet on newly diagnosed overweight or obese patients with type 2 diabetes.BMC endocrine disorders · 2022Trial
- What Causes Premature Coronary Artery Disease?Current atherosclerosis reports · 2024Review
- Pathogenesis of premature coronary artery disease: Focus on risk factors and genetic variants.Genes & diseases · 2022Review
- Mendelian randomization: estimation of inpatient hospital costs attributable to obesity.Health economics review · 2021Article
- Effects of Bariatric Surgery on Cardiovascular Disease: A Concise Update of Recent Advances.Frontiers in cardiovascular medicine · 2019Review
- Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.Frontiers in endocrinology · 2019Article
- Novel common variants associated with body mass index and coronary artery disease detected using a pleiotropic cFDR method.Journal of molecular and cellular cardiology · 2017Article
- Breastfeeding is associated with waist-to-height ratio in young adults.BMC public health · 2015Article
- Dermatoglyphs in Coronary Artery Disease Among Ningxia Population of North China.Journal of clinical and diagnostic research : JCDR · 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
4 authors.
Funding
Abstract
There is ongoing controversy as to whether obesity confers risk for CAD independently of associated risk factors including diabetes mellitus. We have carried out a Mendelian randomization study using a genetic risk score (GRS) for body mass index (BMI) based on 35 risk alleles to investigate this question in a population of 5831 early onset CAD cases without diabetes mellitus and 3832 elderly healthy control subjects, all of strictly European ancestry, with adjustment for traditional risk factors (TRFs). We then estimated the genetic correlation between these BMI and CAD (rg) by relating the pairwise genetic similarity matrix to a phenotypic covariance matrix between these two traits. GRSBMI significantly (P=2.12 × 10(-12)) associated with CAD status in a multivariate model adjusted for TRFs, with a per allele odds ratio (OR) of 1.06 (95% CI 1.042-1.076). The addition of GRSBMI to TRFs explained 0.75% of CAD variance and yielded a continuous net recombination index of 16.54% (95% CI=11.82-21.26%, P<0.0001). To test whether GRSBMI explained CAD status when adjusted for measured BMI, separate models were constructed in which the score and BMI were either included as covariates or not. The addition of BMI explained ~1.9% of CAD variance and GRSBMI plus BMI explained 2.65% of CAD variance. Finally, using bivariate restricted maximum likelihood analysis, we provide strong evidence of genome-wide pleiotropy between obesity and CAD. This analysis supports the hypothesis that obesity is a causal risk factor for CAD.
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.