MaCH-Admix: Genotype Imputation for Admixed Populations
نویسندگان
چکیده
منابع مشابه
MaCH-admix: genotype imputation for admixed populations.
Imputation in admixed populations is an important problem but challenging due to the complex linkage disequilibrium (LD) pattern. The emergence of large reference panels such as that from the 1,000 Genomes Project enables more accurate imputation in general, and in particular for admixed populations and for uncommon variants. To efficiently benefit from these large reference panels, one key iss...
متن کاملGenotype imputation accuracy with different reference panels in admixed populations
Genome-wide association studies have successfully identified common variants that are associated with complex diseases. However, the majority of genetic variants contributing to disease susceptibility are yet to be discovered. It is now widely believed that multiple rare variants are likely to be associated with complex diseases. Using custom-made chips or next-generation sequencing to uncover ...
متن کاملImputation-Based Local Ancestry Inference in Admixed Populations
Accurate inference of local ancestry from whole-genome genetic variation data is critical for understanding the history of admixed human populations and detecting SNPs associated with disease via admixture mapping. Although several existing methods achieve high accuracy when inferring local ancestry for individuals resulting from the admixture of genetically distant ancestral populations (e.g.,...
متن کاملComparing performance of modern genotype imputation methods in different ethnicities
A variety of modern software packages are available for genotype imputation relying on advanced concepts such as pre-phasing of the target dataset or utilization of admixed reference panels. In this study, we performed a comprehensive evaluation of the accuracy of modern imputation methods on the basis of the publicly available POPRES samples. Good quality genotypes were masked and re-imputed b...
متن کاملGenotype-imputation accuracy across worldwide human populations.
A current approach to mapping complex-disease-susceptibility loci in genome-wide association (GWA) studies involves leveraging the information in a reference database of dense genotype data. By modeling the patterns of linkage disequilibrium in a reference panel, genotypes not directly measured in the study samples can be imputed and tested for disease association. This imputation strategy has ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Genetic Epidemiology
سال: 2012
ISSN: 0741-0395
DOI: 10.1002/gepi.21690