The Fine-Scale Structure of Recombination Rate Variation in the Human Genome
By G. McVean, S. Myers, S. Hunt, P. Deloukas, D. Bentley, Peter Donnelly. Science, 2004
1,002 citations recorded by the source corpus.
Subfields: Endocrinology, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6a42b567203957419482c145e9ae4acf4d4b2520
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
- Sharon R. Browning
- Brian L. Browning
- Paul Scheet
- Peter Donnelly
- Mark J. Daly
In Molecular Biology
- Matthew Stephens
- Oliver Stegle
- Paul Scheet
- Gonçalo R. Abecasis
- David Posada
- Darren P. Martin
- Stephen B. Montgomery
- Mark J. Daly
Citations in the corpus
- Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation. (2005, positive): “Since the underlying recombination rate is typically unknown and may vary on a fine scale (Crawford et al. 2004; McVean et al. 2004), we adopt a flexible model that estimates a different recombination rate in each SNP interval.”
- A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies (2010, methodology): “[26] McVean GA, Myers SR, Hunt S, Deloukas P, Bentley DR, et al.”
- Haploview: analysis and visualization of LD and haplotype maps (2005, background): “Once groups of markers are selected (either automatically or manually), the program generates haplotypes and their population frequencies (Fig.”
- RDP3: a flexible and fast computer program for analyzing recombination (2010, methodology): “…alignments with (i) recombinant sequences removed; recombinationally derived tracts of sequence removed; or ) recombinant sequences split into their constituent parts. variety of recombination analysis problems is that, unlike many recombination detection programs such as simplot (Lole al ., 1999…”
- Molecular signatures of natural selection. (2005, background): “Recent studies suggest that recombination rates are highly variable among regions ( 70 ) and among closely related species (83, 117).”
- Candidate Causal Regulatory Effects by Integration of Expression QTLs with Complex Trait Genetic Associations (2010, methodology): “[18] For the cis analysis we selected the 130 hotspot intervals where at least one significant cis eQTL and a GWAS SNP colocalize while for the trans, we analyzed a subset of 50 of the total 784 unique intervals (where the 976 GWAS SNPs map to).”
- A comparison of phasing algorithms for trios and unrelated individuals. (2006, background): “True recombination rates vary greatly across the genome (McVean et al. 2004; Myers et al. 2005) and between various simulated regions in our test set.”