ReviewThe Journal of clinical investigation2008
A HapMap harvest of insights into the genetics of common disease.
Review in The Journal of clinical investigation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 438 papers, 10 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
438 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Effect of metabolic genetic variants on long-term disease comorbidity in patients with type 2 diabetes.Scientific reports · 2021Pooled it
- Replication of Newly Identified Genetic Associations Between Abdominal Aortic Aneurysm and SMYD2, LINC00540, PCIF1/MMP9/ZNF335, and ERG.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2020Pooled it
- A genome-wide pleiotropy scan for prostate cancer risk.European urology · 2015Pooled it
- Meta-analysis of the association between polymorphisms of estrogen receptor α genes rs9340799 and rs2234693 and Alzheimer's disease: evidence from 23 articles.American journal of Alzheimer's disease and other dementias · 2014Pooled it
- Genome-wide association studies of maximum number of drinks.Journal of psychiatric research · 2013Pooled it
- Assessment of systematic effects of methodological characteristics on candidate genetic associations.Human genetics · 2013Pooled it
- Endothelial NO synthase gene polymorphisms and risk of ischemic stroke in Asian population: a meta-analysis.PloS one · 2013Pooled it
- Meta-analysis of genetic association studies under heterogeneity.European journal of human genetics : EJHG · 2012Pooled it
- Pooled it
- Post-genomic update on a classical candidate gene for coronary artery disease: ESR1.Circulation. Cardiovascular genetics · 2011Pooled it
- Trial
- Human genome-guided identification of memory-modulating drugs.Proceedings of the National Academy of Sciences of the United States of America · 2013Trial
- When does broad consent expire? A temporal validity framework for biobank samples in induced pluripotent stem cell research.Research square · 2026Article
- A breeding strategy for high-oleic acid content and high-yield peanut using Tag SNPs and genomic selection.BMC plant biology · 2026Article
- Clinical use of polygenic risk scores: current status, barriers and future directions.Nature reviews. Genetics · 2026Review
- Bioinformatics Approaches in Noncoding RNAs Research.Experientia supplementum (2012) · 2026Review
- Community and bioethicists' perspectives on iPSC research with biobanked samples collected using broad consent.Stem cell reports · 2025Review
- Governance of cross-border genomic data sharing through a human rights approach.Nature genetics · 2025Review
- Exploring the presence of the GPR126 single nucleotide polymorphism (rs536714306) in periodontal patients of European ancestry.BMC research notes · 2025Article
- Complexity within simplicity: Exploring the multifactorial nature of sickle cell disease.American journal of human genetics · 2025Article
378 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The International HapMap Project was designed to create a genome-wide database of patterns of human genetic variation, with the expectation that these patterns would be useful for genetic association studies of common diseases. This expectation has been amply fulfilled with just the initial output of genome-wide association studies, identifying nearly 100 loci for nearly 40 common diseases and traits. These associations provided new insights into pathophysiology, suggesting previously unsuspected etiologic pathways for common diseases that will be of use in identifying new therapeutic targets and developing targeted interventions based on genetically defined risk. In addition, HapMap-based discoveries have shed new light on the impact of evolutionary pressures on the human genome, suggesting multiple loci important for adapting to disease-causing pathogens and new environments. In this review we examine the origin, development, and current status of the HapMap; its prospects for continued evolution; and its current and potential future impact on biomedical science.
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.