Assessing population differentiation and isolation from single‐nucleotide polymorphism data
By G. Nicholson, Albert V. Smith, F. Jónsson, Ó. Gústafsson, Kári Stefánsson, Peter Donnelly. 2002
244 citations recorded by the source corpus.
Subfields: Genetics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/10a3a95514d5e71d198d396052c935ff561c0823
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
- J. K. Pritchard
- Alkes L Price
- Jonathan Marchini
- Nick Patterson
- Joseph K. Pickrell
- Gonçalo R. Abecasis
- Oscar E. Gaggiotti
In Statistics and Probability
- J. K. Pritchard
- Peter Donnelly
- Matthew Stephens
- Alkes L Price
- Nick Patterson
- Graham Coop
- David Reich
- Gaurav Bhatia
Citations in the corpus
- Inferring weak population structure with the assistance of sample group information (2009, methodology): “For the complete details, see Pritchard et al. (2000) and Falush et al.”
- Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data (2012, methodology): “In these models, the details of the demographic histories of the population are absorbed into the branch lengths of the tree [1,33].”
- Estimating and interpreting FST: The impact of rare variants (2013, background): “Additionally, likelihood-based definitions view FST as a parameter of the distribution of allele frequencies in current populations (Balding and Nichols 1995; Nicholson et al. 2002; Balding 2003).”
- A new FST‐based method to uncover local adaptation using environmental variables (2015, background): “In particular, note that although the elements of the covariance matrix estimated by Coop et al. (2010) could in principle be interpreted as parametric estimates of the pairwise and populationspecific FST, this is only true when levels of genetic drift are low (Nicholson et al. 2002).”
- Robust Identification of Local Adaptation from Allele Frequencies (2012, background): “We then assume that that the marginal distribution of θjl is normally distributed, around an ‘ancestral’ mean frequency ǫl with variance proportional to ǫl(1 − ǫl) (inspired by the model of Nicholson et al., 2002).”
- The effects of human population structure on large genetic association studies (2004, methodology): “Using Bayesian methodology, we fitted a statistical model of population structure that is natural for SNP loc”
- Population Structure and Eigenanalysis (2006, methodology): “[18], and STRUCTURE [9] in the correlated allele mode.”