ArticleHuman genetics2007
An investigation of genome-wide associations of hypertension with microsatellite markers in the family blood pressure program (FBPP).
Article in Human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Five blood pressure loci identified by an updated genome-wide linkage scan: meta-analysis of the Family Blood Pressure Program.American journal of hypertension · 2011Pooled it
- A new immune disease: systemic hypertension.Clinical kidney journal · 2023Review
- Hypertension: a new treatment for an old disease? Targeting the immune system.British journal of pharmacology · 2019Review
- Chronic inflammatory systemic diseases: An evolutionary trade-off between acutely beneficial but chronically harmful programs.Evolution, medicine, and public health · 2016Review
- Evolutionary medicine and chronic inflammatory state--known and new concepts in pathophysiology.Journal of molecular medicine (Berlin, Germany) · 2012Review
- Whole-exome sequencing and an iPSC-derived cardiomyocyte model provides a powerful platform for gene discovery in left ventricular hypertrophy.Frontiers in genetics · 2012Article
- [Neuroendocrine immunology: new pathogenetic aspects and clinical application].Zeitschrift fur Rheumatologie · 2011Article
- The Pharmacogenomics of Anti-Hypertensive Therapy.Pharmaceuticals (Basel, Switzerland) · 2010Review
- Hereditary determinants of human hypertension: strategies in the setting of genetic complexity.Hypertension (Dallas, Tex. : 1979) · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Family Blood Pressure Program (FBPP) has data on 387 microsatellite markers in 13,524 subjects from four major ethnic groups. We investigated genetic association with hypertension of the linkage markers. Family-based methods were used to test association of the 387 loci with resting blood pressures (BPs) [systolic blood pressure (SBP) and diastolic blood pressure (DBP)] and the hypertension status (HT). We applied a vote-counting approach to pool results across the three correlated traits, network samples, and ethnic groups to refine the selection of susceptibility loci. The association analyses captured signals missed by previous linkage scans. We found 71 loci associated with at least one of the three traits in at least one of the four ethnic groups at the significance level of 0.01. After validation across multiple samples and related traits, we identified by vote-counting 21 candidate loci for hypertension. Two loci, D3S2459 and D10S1412 confirmed findings in Network-specific linkage scans (GENOA and SAPPHIRe). Many of the candidate loci were reported by others in linkage to BPs, body weight, heart disease, and diabetes. We also observed frequent presence of quantitative trait loci (QTLs) involved in autoimmune and neurological disorders (e.g., NOD2). The vote-counting method of pooling results recognizes the potential that a gene may be involved in varying ways among different samples, which we believe is responsible for identifying genes in the less explored inflammatory pathways to hypertension.
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.