Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering.
By Sharon R. Browning, Brian L. Browning. American Journal of Human Genetics, 2007
3,116 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/dc965cec5e17db39602a8924eb1dcfc8af894d74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Sharon R. Browning
- Jonathan Marchini
- Brian L. Browning
- Gonçalo R. Abecasis
- Alkes L Price
- Matthew Stephens
- Olivier Delaneau
- Bryan N. Howie
In Molecular Biology
- Richard Durbin
- Jonathan Marchini
- Anders Albrechtsen
- Jeffrey B. Endelman
- Alkes L Price
- Po-Ru Loh
- Bryan N. Howie
- Reedik Mägi
Citations in the corpus
- SNP Calling, Genotype Calling, and Sample Allele Frequency Estimation from New-Generation Sequencing Data (2012, background): “, [30,31,32,33,34]) as in the 1000 Genomes project [7].”
- Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP (2011, methodology): “For each of the ten maize chromosomes, the diploid marker data were phased and missing alleles imputed using the soft ware BEAGLE, version 3.3.1 (Browning and Browning, 2007).”
- Genome-Wide Inference of Ancestral Recombination Graphs (2013, methodology): “Our methods may also be useful for a wide variety of related applications, including local ancestry inference [47,93,94], haplotype phasing/genotype imputation [46,48,95,96], and recombination rate estimation [22,97].”
- GWAMA: software for genome-wide association meta-analysis (2010, methodology): “Meta-analysis of GWA studies has been greatly assisted by the development of imputation techniques [5,6] which predict genotypes not directly typed on available GWA genotyping products, but which are present on a dense reference panel of haplotypes, such as those available as part of the…”
- A genetic variant near olfactory receptor genes influences cilantro preference (2012, methodology): “For all participants, we imputed genotypes in batches of 8,000–10,000 using Beagle and Minimac [31, 32, 33] against the August 2010 release of the 1000 Genomes reference haplotypes [34], as described in [35].”
- Fast and accurate long-range phasing in a UK Biobank cohort (2015, neutral): “Most existing methods for statistical phasing apply hidden Markov models (HMM) to iteratively refine haplotype frequency models and improve phase calls [6–12].”
- A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies (2009, methodology): “The BEAGLE imputation model [12,13] is one notable exception to this point, and we discuss its alternative modeling strategy in detail in this work.”
- vcfr: a package to manipulate and visualize variant call format data in R (2017, methodology): “Phasing was performed with BEAGLE 4 (Browning & Browning 2007).”
- LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms (2015, methodology): “…there have been comparisons between generic imputation methods (Stekhoven and Bühlmann 2012; Rutkoski et al. 2013) and between genotype-speci fi c methods (Browning and Browning 2007; e.g. , Marchini and Howie 2010), there has been little comparison be-tween the two groups of algorithms to date.”
- Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells (2016, neutral): “…Li, 2011 https://github.com/SAMtools/SAMtools/releases/tag/1.2 VQSR DePristo et al., 2011 https://www.broadinstitute.org/gatk/guide/article?id=39 BEAGLE r1398 Browning and Browning, 2007 https://faculty.washington.edu/browning/beagle/ PLINK v1.”