<p>Given a pedigree tree of 3,671 Hutterites (1), 1,415 individuals in the three most recent generations (within the red box) were genotyped with framework markers (2). The first part of the pipeline (steps 2–6) depends only on the framework marker data; the second part (steps 7–9) imputes the whole genome sequence variants. First, estimates of identity coefficients and the transition rate parameter λ [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004139#pcbi.1004139.ref024" target="_blank">24</a>] between each pair of the 1,415 individuals are calculated (3). The framework genotypes are then phased (4), IBD segments between haplotypes are identified using a HMM (5), and indexed into an efficient data structure...
Imputation has been widely used in genome-wide association studies (GWAS) to infer genotypes of un-g...
Genotype imputation is the process of predicting unobserved genotypes in a sample of individuals usi...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...
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...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
<p>PRIMAL and PRIMAL combined with LD-based imputation (PRIMAL+LD) performance and calls rates for t...
Samoa is a population isolate that has generated a unique genetic profile by means of the founder ef...
Imputation is an in silico method that can increase the power of association studies by inferring mi...
Genotype imputation is an important tool in human genetics studies, which uses reference sets with k...
<div><p>Founder populations and large pedigrees offer many well-known advantages for genetic mapping...
Genotype imputation is a statistical technique that is often used to increase the power and resoluti...
<div><p>Genotype imputation is an important tool in human genetics studies, which uses reference set...
Well-powered genomic studies require genome-wide marker coverage across many individuals. For non-mo...
When performing a Genome-Wide Association Study (GWAS), one attempts to associate a phenotype with s...
Imputation has been widely used in genome-wide association studies (GWAS) to infer genotypes of un-g...
Genotype imputation is the process of predicting unobserved genotypes in a sample of individuals usi...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...
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...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
<p>PRIMAL and PRIMAL combined with LD-based imputation (PRIMAL+LD) performance and calls rates for t...
Samoa is a population isolate that has generated a unique genetic profile by means of the founder ef...
Imputation is an in silico method that can increase the power of association studies by inferring mi...
Genotype imputation is an important tool in human genetics studies, which uses reference sets with k...
<div><p>Founder populations and large pedigrees offer many well-known advantages for genetic mapping...
Genotype imputation is a statistical technique that is often used to increase the power and resoluti...
<div><p>Genotype imputation is an important tool in human genetics studies, which uses reference set...
Well-powered genomic studies require genome-wide marker coverage across many individuals. For non-mo...
When performing a Genome-Wide Association Study (GWAS), one attempts to associate a phenotype with s...
Imputation has been widely used in genome-wide association studies (GWAS) to infer genotypes of un-g...
Genotype imputation is the process of predicting unobserved genotypes in a sample of individuals usi...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...