ReviewJournal of cardiovascular translational research2010
The genome-wide association study--a new era for common polygenic disorders.
Review in Journal of cardiovascular translational research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis of genome-wide association from genomic prediction models.Animal genetics · 2016Pooled it
- Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies.The American journal of psychiatry · 2013Pooled it
- Genetic Variation and Sex-Based Differences: Current Considerations for Anesthetic Management.Current issues in molecular biology · 2025Review
- The Interplay of Genetic Predisposition, Circadian Misalignment, and Metabolic Regulation in Obesity.Current obesity reports · 2025Review
- Collagen XVIII and LOXL-4 polymorphisms in women with and without advanced pelvic organ prolapse.International urogynecology journal · 2018Article
- Article
- COXPRESdb: a database of comparative gene coexpression networks of eleven species for mammals.Nucleic acids research · 2013Article
- What is complex about complex disorders?Genome biology · 2012Article
- Novel sequencing-based strategies for high-throughput discovery of genetic mutations underlying inherited antibody deficiency disorders.Current allergy and asthma reports · 2011Review
- Genetics of pelvic organ prolapse: crossing the bridge between bench and bedside in urogynecologic research.International urogynecology journal · 2011Review
- Phylomedicine: an evolutionary telescope to explore and diagnose the universe of disease mutations.Trends in genetics : TIG · 2011Review
- Genetic variation and its role in malignancy.International journal of biomedical science : IJBS · 2011Article
- The association between variants on chromosome 9p21 and inflammatory biomarkers in ethnically diverse women with coronary heart disease: a pilot study.Biological research for nursing · 2011Article
- The relationship between polymorphisms on chromosome 9p21 and age of onset of coronary heart disease in black and white women.Genetic testing and molecular biomarkers · 2011Article
- Slitrks as emerging candidate genes involved in neuropsychiatric disorders.Trends in neurosciences · 2011Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review covers the advances made in the last decade utilizing the high-density single-nucleotide microarrays to screen the entire human genome for genetic risk variants and outlines future strategies to draw deeper into the human genetic front. The sequence of the human genome provides the blueprint for life, while its variation provides the spice of life. Approximately 99.5% of the human genome DNA sequence is identical among humans with 0.5% of the genome sequence (15 million bps) accounting for all individual differences including susceptibility for disease. The new technology of the computerized chip array containing up to millions of SNPs as DNA markers makes possible genome-wide association studies to detect genetic predisposition to common polygenic disorders such as coronary artery disease (CAD). The sample sizes required for these studies are massive and large; worldwide consortiums such as CARDIoGRAM have been formed to accommodate this requirement. The progress has been remarkable with the identification of 9p21 followed by several others within the past 2 years. It is expected that most of the common variants (minor allele frequency, MAF >5%) will be identified for CAD within the next 2 to 3 years. Rare variants (MAF <5%) will require direct sequencing which will be delayed somewhat. The ultimate objective for the future is the sequencing and functional analysis of the causative polymorphisms. This will require a new approach involving several disciplines, namely, bioinformatics, high-throughput cell expression, and animal models.
Indexed as
Identifiers
20560037What 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.