ReviewHuman genetics2008
Missing data imputation and haplotype phase inference for genome-wide association studies.
Review in Human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 3 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
93 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Imputing Phenotypes for Genome-wide Association Studies.American journal of human genetics · 2016Pooled it
- Genome-wide association study of CSF levels of 59 alzheimer's disease candidate proteins: significant associations with proteins involved in amyloid processing and inflammation.PLoS genetics · 2014Pooled it
- Genome-wide meta-analyses of smoking behaviors in African Americans.Translational psychiatry · 2012Pooled it
- Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Benchmarking imputation accuracy in the presence or absence of a reference panel.Molecular biology and evolution · 2026Article
- Haplotype-based genome-wide association study uncovers QTL for fruit-related traits in the 287 tomato accessions.BMC plant biology · 2026Article
- High Imputation Accuracy Can Be Achieved Using a Small Reference Panel in a Natural Population With Low Genetic Diversity.Molecular ecology resources · 2025Article
- Missing genotype imputation in non-model species using self-organizing maps.Molecular ecology resources · 2025Article
- Optimizing core collections for genetic studies: a worldwide flax germplasm case study.Frontiers in plant science · 2025Article
- Development of Cost-Effective SNP Markers for Genetic Variation Analysis and Variety Identification in Cultivated Pears (Plants (Basel, Switzerland) · 2024Article
- Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition.International journal of molecular sciences · 2024Article
- The Evolution of Genetic Variability at theGenes · 2024Article
- Polygenic risk score-based phenome-wide association for glaucoma and its impact on disease susceptibility in two large biobanks.Journal of translational medicine · 2024Article
- Association between genetic risk and adherence to healthy lifestyle for developing age-related hearing loss.BMC medicine · 2024Article
- Polygenic risk score-based phenome-wide association study of head and neck cancer across two large biobanks.BMC medicine · 2024Article
- Low-density SNP markers with high prediction accuracy of genomic selection for bacterial wilt resistance in tomato.Frontiers in plant science · 2024Article
- Review: Computational analysis of human skeletal remains in ancient DNA and forensic genetics.iScience · 2023Review
- Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.Frontiers in genetics · 2023Article
- EagleImp: fast and accurate genome-wide phasing and imputation in a single tool.Bioinformatics (Oxford, England) · 2022Article
- A joint use of pooling and imputation for genotyping SNPs.BMC bioinformatics · 2022Article
33 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
1 author.
Funding
Abstract
Imputation of missing data and the use of haplotype-based association tests can improve the power of genome-wide association studies (GWAS). In this article, I review methods for haplotype inference and missing data imputation, and discuss their application to GWAS. I discuss common features of the best algorithms for haplotype phase inference and missing data imputation in large-scale data sets, as well as some important differences between classes of methods, and highlight the methods that provide the highest accuracy and fastest computational performance.
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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.