Genome-Wide Association Analysis of Imputed Rare Variants: Application to Seven Common Complex Diseases

Genome-Wide Association Analysis of Imputed Rare Variants: Application to Seven Common Complex Diseases

Показать другие версии (1)

Genome-wide association studies have been successful in identifying loci contributing effects to a range of complex human traits. The majority of reproducible associations within these loci are with common variants, each of modest effect, which together explain only a small proportion of heritabilit...

Полное описание

Библиографические подробности
Главные авторы:	Mägi, R, Asimit, J, Day-Williams, A, Zeggini, E, Morris, A
Формат:	Journal article
Язык:	English
Опубликовано:	2012

Схожие документы

Genome-wide association analysis of imputed rare variants: application to seven common complex diseases.
по: Mägi, R, и др.
Опубликовано: (2012)

ARIEL and AMELIA: testing for an accumulation of rare variants using next-generation sequencing data.
по: Asimit, J, и др.
Опубликовано: (2012)

Genome-wide association analysis of rare variants with type 2 diabetes
по: Maegi, R, и др.
Опубликовано: (2011)

The effect of genome-wide association scan quality control on imputation outcome for common variants.
по: Southam, L, и др.
Опубликовано: (2011)

The effect of genome-wide association scan quality control on imputation outcome for common variants.
по: Southam, L, и др.
Опубликовано: (2011)

Genome-Wide Association Analysis Of Rare Variants With Crohn's Disease
по: Magi, R, и др.
Опубликовано: (2012)

GRANVIL: Rare Variant Analysis of Genome-Wide Association Studies
по: Magi, R, и др.
Опубликовано: (2010)

Genome-wide association analysis of rare variants identifies potential novel susceptibility genes for type 1 diabetes and coronary artery disease
по: Magi, R, и др.
Опубликовано: (2012)

Genome-wide Association Analysis of Rare Variants Identifies Potential Novel Susceptibility Genes for Type 1 Diabetes and Coronary Artery Disease
по: Morris, A, и др.
Опубликовано: (2012)

Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel
по: Mitt, Mario, и др.
Опубликовано: (2018)

Analyzing the Korean reference genome with meta-imputation increased the imputation accuracy and spectrum of rare variants in the Korean population
по: Mi Yeong Hwang, и др.
Опубликовано: (2022-11-01)

Comparison of methods for transcriptome imputation through application to two common complex diseases
по: Fryett, J, и др.
Опубликовано: (2018)

Performance of genotype imputation for low frequency and rare variants from the 1000 genomes.
по: Hou-Feng Zheng, и др.
Опубликовано: (2015-01-01)

SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations
по: Meng-Yuan Yang, и др.
Опубликовано: (2024-12-01)

An evaluation of statistical approaches to rare variant analysis in genetic association studies.
по: Morris, A, и др.
Опубликовано: (2010)

CCRaVAT and QuTie-enabling analysis of rare variants in large-scale case control and quantitative trait association studies.
по: Lawrence, R, и др.
Опубликовано: (2010)

Genotype imputation for genome-wide association studies.
по: Marchini, J, и др.
Опубликовано: (2010)

Exploring Impact of Rare Variation in Systemic Lupus Erythematosus by a Genome Wide Imputation Approach
по: Manuel Martínez-Bueno, и др.
Опубликовано: (2019-02-01)

Genome-Wide Identification of Rare and Common Variants Driving Triglyceride Levels in a Nevada Population
по: Robert W. Read, и др.
Опубликовано: (2021-03-01)

Common or rare variants for complex traits?
по: Munafò, MR, и др.
Опубликовано: (2014)

Application Of A Novel Method For Testing Gene-Gene Interactions To Genome-Wide Association Studies Of Seven Complex Human Diseases
по: Bhattacharya, K, и др.
Опубликовано: (2012)

Investigating the Effect of Imputed Structural Variants from Whole-Genome Sequence on Genome-Wide Association and Genomic Prediction in Dairy Cattle
по: Long Chen, и др.
Опубликовано: (2021-02-01)

Using imputation to investigate association of low-frequency variants with adiposity in the 1966 Northern Finnish birth cohort
по: O'Connell, J, и др.
Опубликовано: (2010)

Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms.
по: Anderson, C, и др.
Опубликовано: (2008)

Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes
по: Andrés Jiménez-Kaufmann, и др.
Опубликовано: (2022-01-01)

GWAMA: software for genome-wide association meta-analysis
по: Mägi, R, и др.
Опубликовано: (2010)

Imputation performance in Latin American populations: improving rare variants representation with the inclusion of native American genomes
по: Jiménez-Kaufmann, Andrés, и др.
Опубликовано: (2022)

Extended analysis of genome-wide scans provides clues about novel common and rare susceptibility loci for type 2 diabetes
по: Zeggini, E, и др.
Опубликовано: (2008)

Identification of novel putative rheumatoid arthritis susceptibility genes via analysis of rare variants
по: Morris, A, и др.
Опубликовано: (2009)

Genome wide association study of nonsynonymous Single Nucleotide Polymorphisms for seven common diseases
по: Stanton Alice, и др.
Опубликовано: (2010-12-01)

The impact of imputation on meta-analysis of genome-wide association studies.
по: Jian Li, и др.
Опубликовано: (2012-01-01)

CCRaVAT and QuTie - enabling analysis of rare variants in large-scale case control and quantitative trait association studies
по: Elliott Katherine S, и др.
Опубликовано: (2010-10-01)

Rare variants create synthetic genome-wide associations.
по: Samuel P Dickson, и др.
Опубликовано: (2010-01-01)

Associations of single nucleotide polymorphisms with mucinous colorectal cancer: genome-wide common variant and gene-based rare variant analyses
по: Michelle E. Penney, и др.
Опубликовано: (2018-06-01)

Imputation of sequence variants for identification of genetic risks for Parkinson's disease: a meta-analysis of genome-wide association studies
по: Nalls, M, и др.
Опубликовано: (2011)

Assessing the impact of missing genotype data in rare variant association analysis.
по: Mägi, R, и др.
Опубликовано: (2011)

Large-scale genome-wide association meta-analysis of the 1000 genomes project imputed data identifies 19 novel lipid loci and new variants in previously known loci
по: Prokopenko, I, и др.
Опубликовано: (2013)

ProbABEL package for genome-wide association analysis of imputed data
по: Struchalin Maksim V, и др.
Опубликовано: (2010-03-01)

Meta-analysis of sex-specific genome-wide association studies.
по: Magi, R, и др.
Опубликовано: (2010)

GWAMA: software for genome-wide association meta-analysis
по: Mägi Reedik, и др.
Опубликовано: (2010-05-01)