Accurate, scalable and integrative haplotype estimation

• Published in: Nature communications Vol. 10; no. 1; pp. 5436 - 10
• Main Authors: Delaneau, Olivier, Zagury, Jean-François, Robinson, Matthew R., Marchini, Jonathan L., Dermitzakis, Emmanouil T.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 28.11.2019; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/2397; 631/114/794; 631/208/514/1948; 631/208/728; Biological Specimen Banks; Data collection; Data Interpretation, Statistical; Datasets; Datasets as Topic; Genetics; Genomes; Genotype; Genotypes; Haplotypes; High-Throughput Nucleotide Sequencing; Human genetics; Humanities and Social Sciences; Humans; Life Sciences; multidisciplinary; Polymorphism, Single Nucleotide; Quantitative Methods; Sample Size; Science; Science (multidisciplinary); Sequence Analysis, DNA; Software

The number of human genomes being genotyped or sequenced increases exponentially and efficient haplotype estimation methods able to handle this amount of data are now required. Here we present a method, SHAPEIT4, which substantially improves upon other methods to process large genotype and high cove...