A genotype imputation method for de-identified haplotype reference information by using recurrent neural network.

ABSTRACT: Genotype imputation estimates the genotypes of unobserved variants using the genotype data of other observed variants based on a collection of haplotypes for thousands of individuals, which is known as a haplotype reference panel. In general, more accurate imputation results were obtained using a larger size of haplotype reference panel. Most of the existing genotype imputation methods explicitly require the haplotype reference panel in precise form, but the accessibility of haplotype data is often limited, due to the requirement of agreements from the donors. Since de-identified information such as summary statistics or model parameters can be used publicly, imputation methods using de-identified haplotype reference information might be useful to enhance the quality of imputation results

SUBMITTER: Kojima K 

PROVIDER: S-EPMC7529210 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature