Imputation across genotyping arrays for genome-wide association studies: assessment of bias and a correction strategy

Accurate and flexible power calculations on the spot: Applications to genomic research

(2013) David B. Allison et al.   Statistics and Its Interface

Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

(2012) Bogdan Pasaniuc et al.   NATURE GENETICS

Assessment of Genotype Imputation Performance Using 1000 Genomes in African American Studies

(2012) Dana B. Hancock et al.   PLoS One

Inclusion of African Americans in Genetic Studies: What Is the Barrier?

(2011) S. M. Hartz et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations

(2011) Marcio AA Almeida et al.   BMC GENETICS

How to deal with the early GWAS data when imputing and combining different arrays is necessary

(2011) Hae-Won Uh et al.   EUROPEAN JOURNAL OF HUMAN GENETICS

The effect of genome-wide association scan quality control on imputation outcome for common variants

(2011) Lorraine Southam et al.   EUROPEAN JOURNAL OF HUMAN GENETICS

A comparison of approaches to account for uncertainty in analysis of imputed genotypes

(2011) Jin Zheng et al.   GENETIC EPIDEMIOLOGY

Artifact due to differential error when cases and controls are imputed from different platforms

(2011) Jennifer A. Sinnott et al.   HUMAN GENETICS

Including Additional Controls from Public Databases Improves the Power of a Genome-Wide Association Study

(2011) Semanti Mukherjee et al.   HUMAN HEREDITY

Genotype Imputation with Thousands of Genomes

(2011) Bryan Howie et al.   G3-Genes Genomes Genetics

APOEis not Associated with Alzheimer Disease: a Cautionary tale of Genotype Imputation

(2010) Gary W. Beecham et al.   ANNALS OF HUMAN GENETICS

Robust relationship inference in genome-wide association studies

(2010) Ani Manichaikul et al.   BIOINFORMATICS

Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group

(2010) Joanna J. Zhuang et al.   GENETIC EPIDEMIOLOGY

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

(2010) Yun Li et al.   GENETIC EPIDEMIOLOGY

Using public control genotype data to increase power and decrease cost of case–control genetic association studies

(2010) Lindsey A. Ho et al.   HUMAN GENETICS

Integrating common and rare genetic variation in diverse human populations

(2010)   NATURE

A map of human genome variation from population-scale sequencing

(2010) Richard M. Durbin et al.   NATURE

Genotype imputation for genome-wide association studies

(2010) Jonathan Marchini et al.   NATURE REVIEWS GENETICS

A genome-wide association study of alcohol dependence

(2010) L. J. Bierut et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer

(2009) Laufey Amundadottir et al.   NATURE GENETICS

Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip

(2009) Chris C. A. Spencer et al.   PLoS Genetics