ArticleBiomarker insights2007
Genome-wide association studies: progress in identifying genetic biomarkers in common, complex diseases.
Article in Biomarker insights, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations of LBX1 gene and adolescent idiopathic scoliosis susceptibility: a meta-analysis based on 34,626 subjects.BMC musculoskeletal disorders · 2016Pooled it
- Reduced ech-6 expression attenuates fat-induced lifespan shortening in C. elegans.Scientific reports · 2022Article
- Systems proteomics of liver mitochondria function.Science (New York, N.Y.) · 2016Article
- Review
- Association between single nucleotide polymorphism of IL15RA gene with susceptibility to ossification of the posterior longitudinal ligament of the spine.Journal of orthopaedic surgery and research · 2014Article
- Lack of association between the CHL1 gene and adolescent idiopathic scoliosis susceptibility in Han Chinese: a case-control study.BMC musculoskeletal disorders · 2014Article
- Association of rs11190870 near LBX1 with adolescent idiopathic scoliosis susceptibility in a Han Chinese population.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2013Article
- To control false positives in gene-gene interaction analysis: two novel conditional entropy-based approaches.PloS one · 2013Article
- Role for protein-protein interaction databases in human genetics.Expert review of proteomics · 2009Review
- Modern approaches to understanding stress and disease susceptibility: A review with special emphasis on respiratory disease.International journal of general medicine · 2009Article
- Review. Genetics of addictions: strategies for addressing heterogeneity and polygenicity of substance use disorders.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2008Review
- From human genetics and genomics to pharmacogenetics and pharmacogenomics: past lessons, future directions.Drug metabolism reviews · 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
4 authors.
Funding
Abstract
Novel, comprehensive approaches for biomarker discovery and validation are urgently needed. One particular area of methodologic need is for discovery of novel genetic biomarkers in complex diseases and traits. Here, we review recent successes in the use of genome wide association (GWA) approaches to identify genetic biomarkers in common human diseases and traits. Such studies are yielding initial insights into the allelic architecture of complex traits. In general, it appears that complex diseases are associated with many common polymorphisms, implying profound genetic heterogeneity between affected individuals.
Indexed as
Identifiers
19662211PMC2717811What 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.