Informativeness of genetic markers for inference of ancestry.
By Noah A. Rosenberg, Lei M. Li, R. Ward, J. K. Pritchard. American Journal of Human Genetics, 2003
713 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/32b48a404ab29da71980220a45e0324ce88d6a9a
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In Genetics
- Michael W. Mahoney
- Jinliang Wang
- Petros Drineas
- M. D. Schwartz
- Mark J. Daly
- Kevin S. McKelvey
- Y. Ruíz
- L. Porras-Hurtado
In Molecular Biology
- Michael W. Mahoney
- Petros Drineas
- Christos Boutsidis
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- S. Wagner
Citations in the corpus
- Why sampling scheme matters: the effect of sampling scheme on landscape genetic results (2009, background): “These applications range from evaluating the spread of West Nile Virus by Culex pipiens mosquitoes (Fonseca et al. 2004), to understanding the patterns and causes of human population substructure (Rosenberg et al. 2002, 2003, 2005; Parra et al. 2003).”
- Genome-wide association studies for common diseases and complex traits (2005, background): “Ideally, re-matching would take place in advance by typing a smaller number of markers in a large pool of potential controls; markers that provide information regarding ancestry might be particularly useful for thi”
- An overview of STRUCTURE: applications, parameter settings, and supporting software (2013, background): “The informativeness metric In , proposed by Rosenberg et al. (2003) is a useful measure of individual divergence per locus and per population comparison that can help guide marker choice ahead of commitments to the necessary genotyping.”
- The computer program structure for assigning individuals to populations: easy to use but easier to misuse (2017, background): “The power and accuracy of Structure analyses depend on, among other factors, marker informativeness for individual ancestry (Rosenberg et al. 2003) or relatedness (Wang 2006), the pattern (e.g. island, stepping stone and isolation-by-distance models; hierarchical structures) and extent of genetic…”
- Database mining for selection of SNP markers useful in admixture mapping (2009, methodology): “Several methods for measuring marker informativeness for ancestry have been developed and discussed by Rosenberg et al. [12] and others [19,32].”
- Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology (2008, neutral): “These include comparing observed with expected 2 association statistics for a number of random markers that have been used previously to examine stratification [101, 102] tests of stratification using AIM, which will have more power at detecting population stratification than random markers [103–105”
- Unsupervised feature selection for principal components analysis (2008, methodology): “When compared to the best existing supervised method for the same task (the measure of Informativeness for assignment defined by Rosenberg in [37]), as well as randomly chosen SNPs, we can easily see that our unsupervised algorithm is essentially as good as the best existing supervised method.”
- PCA-Correlated SNPs for Structure Identification in Worldwide Human Populations (2007, methodology): “We compared the efficiency of the PCA-correlated SNPs that we selected to that of a set of SNPs selected using the informativeness for assignment measure (In) [26].”
- diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors (2013, methodology): “These include, v2 tests of Hardy–Weinberg equilibrium (HWE), Allelic richness (Ar), Chi-square tests for sample homogeneity, ‘Yardstick’ diversity standardised ratios (Skrbin sek et al. 2012) and locus informativeness for the inference of ancestry (Rosenberg et al. 2003).”
- Genetics and Genomics of Core Short Tandem Repeat Loci Used in Human Identity Testing (2006, background): “Studies involving hundreds of STR loci have found that there are STRs that are more likely to have drastic allele frequency differences between various population groups (see (113,114)).”
- Current trends in microsatellite genotyping (2011, methodology): “SLIMS Free Sample-based LIMS Web application Platform independent van Rossum et al. (2010)”