Performance of Genotype Imputations Using Data from the 1000 Genomes Project
Published 2011 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Performance of Genotype Imputations Using Data from the 1000 Genomes Project
Authors
Keywords
-
Journal
HUMAN HEREDITY
Volume 73, Issue 1, Pages 18-25
Publisher
S. Karger AG
Online
2011-12-30
DOI
10.1159/000334084
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Imputation of low-frequency variants using the HapMap3 benefits from large, diverse reference sets
- (2011) Luke Jostins et al. EUROPEAN JOURNAL OF HUMAN GENETICS
- Low-coverage sequencing: Implications for design of complex trait association studies
- (2011) Y. Li et al. GENOME RESEARCH
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- (2011) Mark A DePristo et al. NATURE GENETICS
- To Identify Associations with Rare Variants, Just WHaIT: Weighted Haplotype and Imputation-Based Tests
- (2010) Yun Li et al. AMERICAN JOURNAL OF HUMAN GENETICS
- MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
- (2010) Yun Li et al. GENETIC EPIDEMIOLOGY
- SNP detection and genotyping from low-coverage sequencing data on multiple diploid samples
- (2010) S. Q. Le et al. GENOME RESEARCH
- The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
- (2010) A. McKenna et al. GENOME RESEARCH
- Genomic predictors of the maximal O2 uptake response to standardized exercise training programs
- (2010) Claude Bouchard et al. JOURNAL OF APPLIED PHYSIOLOGY
- A map of human genome variation from population-scale sequencing
- (2010) Richard M. Durbin et al. NATURE
- Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis
- (2010) Serena Sanna et al. NATURE GENETICS
- Genome-wide association study identifies a psoriasis susceptibility locus at TRAF3IP2
- (2010) Eva Ellinghaus et al. NATURE GENETICS
- Meta-analysis and imputation refines the association of 15q25 with smoking quantity
- (2010) Jason Z Liu et al. NATURE GENETICS
- Genotype imputation for genome-wide association studies
- (2010) Jonathan Marchini et al. NATURE REVIEWS GENETICS
- Utilizing Genotype Imputation for the Augmentation of Sequence Data
- (2010) Brooke L. Fridley et al. PLoS One
- A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals
- (2009) Brian L. Browning et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Genotype-Imputation Accuracy across Worldwide Human Populations
- (2009) Lucy Huang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies
- (2009) Ke Hao et al. BMC GENETICS
- Potential etiologic and functional implications of genome-wide association loci for human diseases and traits
- (2009) L. A. Hindorff et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip
- (2009) Chris C. A. Spencer et al. PLoS Genetics
- Evaluating the Effects of Imputation on the Power, Coverage, and Cost Efficiency of Genome-wide SNP Platforms
- (2008) Carl A. Anderson et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Missing data imputation and haplotype phase inference for genome-wide association studies
- (2008) Sharon R. Browning HUMAN GENETICS
- A comprehensive evaluation of SNP genotype imputation
- (2008) Michael Nothnagel et al. HUMAN GENETICS
- Practical aspects of imputation-driven meta-analysis of genome-wide association studies
- (2008) P. I.W. de Bakker et al. HUMAN MOLECULAR GENETICS
- Analyses and Comparison of Accuracy of Different Genotype Imputation Methods
- (2008) Yu-Fang Pei et al. PLoS One
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started