Evidence map›Paper›PMID 22713151›Full record

ReviewAnnals of medicine2012

Mendelian and trans-generational inheritance in hypertensive renal disease.

Michael C Braun, Peter A Doris

Open access · greenAbstract readReview
In one paragraph

Review in Annals of medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Michael C BraunDivision of Pediatric Nephrology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX 77030, USA.
Peter A Doris
Baylor College of Medicine · USThe University of Texas Health Science Center at Houston · US

Funding

Hypertensive Renal InjuryR01DK081866 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DORIS, PETER A · 2009 to 2017
$2.9M
HNF1 transcriptional control of renal oxidative stressR01DK069632 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DORIS, PETER A · 2005 to 2009
$1.4M
NIDDK NIH HHS R01 DK069632NIDDK NIH HHS R01 DK081866
6 · The paper itself

Abstract

Familial risk in hypertensive renal disease has stimulated a search for genetic variation contributing to this risk. The current phase of population genetic studies has sought to associate genetic variation with disease in large populations by testing genotypes at a large number of common genetic variations in the genome, expecting that common genetic variants contributing to renal disease risk will be identified. These genome-wide association studies (GWAS) have been productive and are a clear technical success. It is also clear that narrowly defined loci and genes containing variation contributing to disease risk have been identified. Further extension and refinement of these GWAS are likely to extend this success. However, it is also clear that few if any variants with substantial effects accounting for the greatest part of heritability will be uncovered by GWAS. This raises an interesting biological question regarding where the remaining heritable risk may be located. One result of the progress of GWAS is likely to be a renewed interest in mechanisms by which related individuals can share and transmit traits independently of Mendelian inheritance. This paper reviews current progress in this area and considers other mechanisms by which familial aggregation of risk for renal disease may arise.

Indexed as

Chromosome MappingGenome-Wide Association StudyEpigenomicsHumansHypertension, Renal

Identifiers

PMID22713151
PMCPMC3562706
OpenAlexW2036934420

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.