Summary: Genotype imputation is a key step in the analysis of genome-wide association studies. Upcoming very large reference panels, such as those from The 1000 Genomes Project and the Haplotype Consortium, will improve imputation quality of rare and less common variants, but will also increase the computational burden. Here, we demonstrate how the application of software en-gineering techniques can help to keep imputation broadly accessible. Overall, these improvements speed up imputation by an order of magnitude compared with our previous implementation. Availability and implementation: minimac2, including source code, documentation, and examples is available a
Despite the widespread use of genotype imputation tools and the availability of different approaches...
Genotype imputation is an important tool in human genetics studies, which uses reference sets with k...
Abstract Genome-wide association studies have proven to be a highly successful method for identifica...
Summary: Genotype imputation is a key step in the analysis of genome-wide association studies (GWAS)...
In order to meaningfully analyze common and rare genetic variants, results from genome-wide associat...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
The advent of genome-wide association studies (GWAS) revolutionized the field of complex disease gen...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
The 1000 Genomes Project and disease-specific sequencing efforts are producing large collections of ...
Imputation is an in silico method that can increase the power of association studies by inferring mi...
Genotype imputation is a statistical technique that is often used to increase the power and resoluti...
We present a genotype imputation method that scales to millions of reference samples. The imputation...
Increasing availability of large whole genome sequencing and genomics data have brought both opportu...
Genotype imputation is now routinely applied in genome-wide association studies (GWAS) and meta-anal...
Genotype imputation is now routinely applied in genome-wide association studies (GWAS) and meta-anal...
Despite the widespread use of genotype imputation tools and the availability of different approaches...
Genotype imputation is an important tool in human genetics studies, which uses reference sets with k...
Abstract Genome-wide association studies have proven to be a highly successful method for identifica...
Summary: Genotype imputation is a key step in the analysis of genome-wide association studies (GWAS)...
In order to meaningfully analyze common and rare genetic variants, results from genome-wide associat...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
The advent of genome-wide association studies (GWAS) revolutionized the field of complex disease gen...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
The 1000 Genomes Project and disease-specific sequencing efforts are producing large collections of ...
Imputation is an in silico method that can increase the power of association studies by inferring mi...
Genotype imputation is a statistical technique that is often used to increase the power and resoluti...
We present a genotype imputation method that scales to millions of reference samples. The imputation...
Increasing availability of large whole genome sequencing and genomics data have brought both opportu...
Genotype imputation is now routinely applied in genome-wide association studies (GWAS) and meta-anal...
Genotype imputation is now routinely applied in genome-wide association studies (GWAS) and meta-anal...
Despite the widespread use of genotype imputation tools and the availability of different approaches...
Genotype imputation is an important tool in human genetics studies, which uses reference sets with k...
Abstract Genome-wide association studies have proven to be a highly successful method for identifica...