Journal Article10.1006/TPBI.2001.1543
Case-control studies of association in structured or admixed populations.
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TL;DR: This review article describes a series of approaches published over the past 2 years which use multilocus genotype data to enable valid case-control tests of association, even in the presence of population structure.
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About: This article is published in Theoretical Population Biology. The article was published on 01 Nov 2001. The article focuses on the topics: Population.
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Citations
Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies.
TL;DR: It is demonstrated that the alternative strategy of jointly analyzing the data from both stages almost always results in increased power to detect genetic association, despite the need to use more stringent significance levels, even when effect sizes differ between the two stages.
Population stratification and spurious allelic association.
TL;DR: Past evidence for population stratification on genotype-phenotype association studies is discussed, methods to detect and account for it are reviewed, and suggestions for future study design and analysis are presented.
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Genealogical trees, coalescent theory and the analysis of genetic polymorphisms
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Informativeness of Genetic Markers for Inference of Ancestry
TL;DR: In a worldwide human microsatellite data set, a general measure, the informativeness for assignment (I(n), is introduced, applicable to any number of potential source populations, for determining the amount of information that multiallelic markers provide about individual ancestry.
Clines, clusters, and the effect of study design on the inference of human population structure.
Noah A. Rosenberg,Saurabh Mahajan,Sohini Ramachandran,Chengfeng Zhao,Jonathan K. Pritchard,Marcus W. Feldman +5 more
TL;DR: Analysis of the 993-locus dataset corroborates earlier results: if enough markers are used with a sufficiently large worldwide sample, individuals can be partitioned into genetic clusters that match major geographic subdivisions of the globe, with some individuals from intermediate geographic locations having mixed membership in the clusters that correspond to neighboring regions.
References
Inference of population structure using multilocus genotype data
TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
TL;DR: In this article, the authors propose a new framework for the construction of reversible Markov chain samplers that jump between parameter subspaces of differing dimensionality, which is flexible and entirely constructive.
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Regression and time series model selection in small samples
TL;DR: In this article, a bias correction to the Akaike information criterion, called AICC, is derived for regression and autoregressive time series models, which is of particular use when the sample size is small, or when the number of fitted parameters is a moderate to large fraction of the sample sample size.