ReviewAnnual review of medicine2009
The HapMap and genome-wide association studies in diagnosis and therapy.
Review in Annual review of medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
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
89 citing papers in PubMed.
- Predictive health index: integrating body composition and heart rate variability metrics with artificial intelligence to predict chronic disease risk and specific chronic non-communicable diseases.Hormones (Athens, Greece) · 2026Article
- Microarrays and the Dawn of Omics Data Analysis.Advances in experimental medicine and biology · 2026Review
- Community and bioethicists' perspectives on iPSC research with biobanked samples collected using broad consent.Stem cell reports · 2025Review
- Expanding the genetic landscape of endometriosis: Integrative -omics analyses implicate key genes and pathways in a multi-ancestry study of over one million women.Research square · 2025Article
- Article
- Review
- Investigating the role of the relaxin-3/RXFP3 system in neuropsychiatric disorders and metabolic phenotypes: A candidate gene approach.PloS one · 2023Article
- The Thousand Polish Genomes-A Database of Polish Variant Allele Frequencies.International journal of molecular sciences · 2022Article
- Computational and experimental methods for classifying variants of unknown clinical significance.Cold Spring Harbor molecular case studies · 2022Article
- Impact of Inherited Genetic Variants on Critically Ill Septic Children.Pathogens (Basel, Switzerland) · 2022Review
- Bench Research Informed by GWAS Results.Cells · 2021Review
- Genome-wide CNV investigation suggests a role for cadherin, Wnt, and p53 pathways in primary open-angle glaucoma.BMC genomics · 2021Article
- So many Nigerians: why is Nigeria overrepresented as the ancestral genetic homeland of Legacy African North Americans?American journal of human genetics · 2021Article
- A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease.Current genomics · 2020Review
- The New Frontier of Functional Genomics: From Chromatin Architecture and Noncoding RNAs to Therapeutic Targets.SLAS discovery : advancing life sciences R & D · 2020Article
- Genetic Fine Mapping and Genomic Annotation Defines Causal Mechanisms at A Novel Colorectal Cancer Susceptibility Locus in Han Chinese.Journal of Cancer · 2020Article
- Rare and common variant discovery in complex disease: the IBD case study.Human molecular genetics · 2019Review
- Developmental processes regulate craniofacial variation in disease and evolution.Genesis (New York, N.Y. : 2000) · 2019Review
- Gene editing in the context of an increasingly complex genome.BMC genomics · 2018Review
- Article
29 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
Abstract
The International HapMap Project produced a genome-wide database of human genetic variation for use in genetic association studies of common diseases. The initial output of these studies has been overwhelming, with over 150 risk loci identified in studies of more than 60 common diseases and traits. These associations have suggested 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. Here we examine the development and application of the HapMap to genome-wide association (GWA) studies; present and future technologies for GWA research; current major efforts in GWA studies; successes and limitations of the GWA approach in identifying polymorphisms related to complex diseases; data release and privacy polices; use of these findings by clinicians, the public, and academic physicians; and sources of ongoing authoritative information on this rapidly evolving field.
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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.