Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms.
By Tianhua Niu, Zhaohui S. Qin, Xiping Xu, Jun S. Liu. American Journal of Human Genetics, 2002
702 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1a125691fed9ad323b760b0bd3bfd40be8f9bd08
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Matthew Stephens
- Gonçalo R. Abecasis
- Jonathan Marchini
- Peter Donnelly
- Sharon R. Browning
- Brian L. Browning
- Eleazar Eskin
- Nick Patterson
In Molecular Biology
- Matthew Stephens
- Gonçalo R. Abecasis
- Jonathan Marchini
- Peter Donnelly
- Nick Patterson
- Danyu Lin
- Donglin Zeng
- De-Xing Zhang
Citations in the corpus
- Selecting additional tag SNPs for tolerating missing data in genotyping (2005, unknown): “Numerous methods have been developed to infer haplotypes from genotype data [12,14,15].”
- A comparison of phasing algorithms for trios and unrelated individuals. (2006, methodology): “2002), Bayesian approaches based on conjugate priors (Lin et al. 2002, 2004b; Niu et al. 2002) and on priors from population genetics (Stephens et al.”
- Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation. (2005, unknown): “Stephens et al. 2001; Niu et al. 2002 Arlequin 3.0a (ELB) Bayesian method.”
- Nuclear DNA analyses in genetic studies of populations: practice, problems and prospects (2003, methodology): “Niu et al. (2002) developed a novel Bayesian algorithm based on a Monte Carlo approach (referred to as the ‘haplotyper method’ after the name of their computer program, which is available at the following website: http://www.people.fas.harvard.edu/∼ junliu/Haplo/ docMain.htm). haplotyper…”
- A comparison of bayesian methods for haplotype reconstruction from population genotype data. (2003, methodology): “We note that the main contribution of Niu et al. (2002)—the introduction of computational strategies to greatly reduce running times—can also be applied to the other algorithms, and we describe a new version of PHASE that exploits these strategies.”
- Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies (2006, methodology): “When the number of SNPs is large, the partition–ligation method of Niu et al. (2002) and Qin et al. (2002) and other modifications potentially can be adapted to reduce the computational burden.”