ReviewCurrent hypertension reports2011
Beyond genome-wide association studies: new strategies for identifying genetic determinants of hypertension.
Review in Current hypertension reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 44 citations in OpenAlex.
- Genetic polymorphisms in thePeerJ · 2022Article
- Heritability and genetic correlations of heart rate variability at rest and during stress in the Oman Family Study.Journal of hypertension · 2018Article
- Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension.Frontiers in cardiovascular medicine · 2018Article
- Towards Precision Medicine for Hypertension: A Review of Genomic, Epigenomic, and Microbiomic Effects on Blood Pressure in Experimental Rat Models and Humans.Physiological reviews · 2017Review
- Programming of Essential Hypertension: What Pediatric Cardiologists Need to Know.Pediatric cardiology · 2015Review
- Familial aggregation and childhood blood pressure.Current hypertension reports · 2015Review
- Common variants in TGFBR2 and miR-518 genes are associated with hypertension in the Chinese population.American journal of hypertension · 2014Article
- Elevated blood pressure: Our family's fault? The genetics of essential hypertension.World journal of cardiology · 2014Article
- Article
- Childhood family living arrangements and blood pressure in black men: the Howard University Family Study.Hypertension (Dallas, Tex. : 1979) · 2014Article
- FunciSNP: an R/bioconductor tool integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs.Nucleic acids research · 2012Article
- The epigenetic lorax: gene-environment interactions in human health.Epigenomics · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
Genetic linkage and association methods have long been the most important tools for gene identification in humans. These approaches can either be hypothesis-based (i.e., candidate-gene studies) or hypothesis-free (i.e., genome-wide studies). The first part of this review offers an overview of the latest successes in gene finding for blood pressure (BP) and essential hypertension using these DNA sequence-based discovery techniques. We further emphasize the importance of post-genome-wide association study (post-GWAS) analysis, which aims to prioritize genetic variants for functional follow-up. Whole-genome next-generation sequencing will eventually be necessary to provide a more comprehensive picture of all DNA variants affecting BP and hypertension. The second part of this review discusses promising novel approaches that move beyond the DNA sequence and aim to discover BP genes that are differentially regulated by epigenetic mechanisms, including microRNAs, histone modification, and methylation.
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.