ReviewAmerican journal of hematology2009
Genome-wide association studies and the genetic dissection of complex traits.
Review in American journal of hematology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- The Genetics of Amyloid Deposition: A Systematic Review of Genome-Wide Association Studies Using Amyloid PET Imaging in Alzheimer's Disease.Journal of imaging · 2025Review
- Nighttime fluorescence phenotyping reduces environmental variability for photosynthetic traits and enables the identification of candidate loci in maize.Frontiers in plant science · 2025Article
- Hereditary Patterns and Genetic Associations in Obsessive-Compulsive Disorder (OCD): Neuropsychiatric Insights, Genetic Influences, and Treatment Perspectives.Current gene therapy · 2025Review
- Identifying potential ligand molecules EGFR mediated TNBC targeting the kinase domain-identification of customized drugs throughResearch in pharmaceutical sciences · 2023Article
- Article
- Genetic predisposition to tinnitus in the UK Biobank population.Scientific reports · 2021Article
- Unravelling the complex genetics of common kidney diseases: from variants to mechanisms.Nature reviews. Nephrology · 2020Review
- Genetic architecture of Alzheimer's disease.Neurobiology of disease · 2020Review
- Multiple Testing in the Context of Gene Discovery in Sickle Cell Disease Using Genome-Wide Association Studies.Genomics insights · 2017Article
- Pharmacogenetic Variation in Over 100 Genes in Patients Receiving Acenocumarol.Frontiers in pharmacology · 2017Article
- Genetic Analysis Reveals a Longevity-Associated Protein Modulating Endothelial Function and Angiogenesis.Circulation research · 2015Article
- Whole genome sequencing of an ethnic Pathan (Pakhtun) from the north-west of Pakistan.BMC genomics · 2015Article
- Bayesian Polynomial Regression Models to Fit Multiple Genetic Models for Quantitative Traits.Bayesian analysis · 2015Article
- Implications of genome wide association studies for addiction: are our a priori assumptions all wrong?Pharmacology & therapeutics · 2013Review
- The impact of improved microarray coverage and larger sample sizes on future genome-wide association studies.Genetic epidemiology · 2013Article
- Genetic modifiers of sickle cell disease.American journal of hematology · 2012Review
- Evaluation of the imputation performance of the program IMPUTE in an admixed sample from Mexico City using several model designs.BMC medical genomics · 2012Article
- Genomewide association analysis of symptoms of alcohol dependence in the molecular genetics of schizophrenia (MGS2) control sample.Alcoholism, clinical and experimental research · 2011Article
- Severe sickle cell anemia is associated with increased plasma levels of TNF-R1 and VCAM-1.American journal of hematology · 2011Article
- Genetic risk sum score comprised of common polygenic variation is associated with body mass index.Human genetics · 2011Article
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
Abstract
The availability of affordable high throughput technology for parallel genotyping has opened the field of genetics to genome-wide association studies (GWAS), and in the last few years hundreds of articles reporting results of GWAS for a variety of heritable traits have been published. What do these results tell us? Although GWAS have discovered a few hundred reproducible associations, this number is underwhelming in relation to the huge amount of data produced, and challenges the conjecture that common variants may be the genetic causes of common diseases. We argue that the massive amount of genetic data that result from these studies remains largely unexplored and unexploited because of the challenge of mining and modeling enormous data sets, the difficulty of using nontraditional computational techniques and the focus of accepted statistical analyses on controlling the false positive rate rather than limiting the false negative rate. In this article, we will review the common approach to analysis of GWAS data and then discuss options to learn more from these data. We will use examples from our ongoing studies of sickle cell anemia and also GWAS in multigenic traits.
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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.