Imputation in genome-wide association analysis [electronic resource] / Jonathan Marchini.
Material type:
FilmSeries: Henry Stewart talksBiomedical & life sciences collection. Statistical genetics: ; Henry Stewart talksBiomedical & life sciences collection. Statistical methods for the analysis of genome-wide association studies : practical advice and guidance: Publisher: London : Henry Stewart Talks, 2017Description: 1 online resource (1 streaming video file (33 min.) : color, sound)Subject(s): Algorithms | Bioinformatics | Genetics -- Statistical methods | Medical genetics | Population genetics | Biostatistics -- methods | Datasets as Topic | Genetic techniques | Genetics, Medical | Genome-Wide Association Study | Genomics -- statistics & numerical data | Haplotypes | Models, Genetic | Polymorphism, Single NucleotideOnline resources: Click here to access online | Series (Statistical methods for the analysis of genome-wide association studies) | Series (Statistical genetics) Animated audio-visual presentation with synchronized narration.
Title from title frames.
Contents: The general problem of imputation -- Testing imputed SNPs for association -- Examples of imputation in the WTCCC -- Properties of imputation (LD, populations, chips, allele frequency) -- Using imputed data for meta-analysis -- The Strand Issue and Imputation QC metrics -- The 1000 Genomes Project -- Pre-phasing and haplotype estimation -- The Haplotype Reference Consortium.
Access restricted to subscribers.
Mode of access: World Wide Web.