Genetic Variation Among World Populations: Inferences From 100
 <i>Alu</i> Insertion Polymorphisms

Watkins, W. Scott; Rogers, Alan R.; Ostler, C.; Wooding, Steve; Bamshad, Michael J.; Brassington, Anna Marie E; Carroll, Marion L.; Nguyen, Son; Walker, Jerilyn A.; Prasad, Binod; Reddy, P. Govinda; Das, Pradipta Kumar; Batzer, Mark A.; Jorde, Lynn B.

doi:10.1101/gr.894603

Cited by 193 publications

(208 citation statements)

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“…VOLUME 36 | NUMBER 11 | NOVEMBER 2004 NATURE GENETICS SUPPLEMENT Figure 2 A neighbor-joining tree of individual similarities, based on 60 STR polymorphisms 72 , 100 Alu insertion polymorphisms 21 and 30 restriction site polymorphisms 73 . The percentage of shared alleles was calculated for all possible pairs of individuals, and a neighbor-joining tree was formulated using the PHYLIP software package 74 .…”

Section: S30mentioning

confidence: 99%

Genetic variation, classification and 'race'

2004

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New genetic data has enabled scientists to re-examine the relationship between human genetic variation and 'race'. We review the results of genetic analyses that show that human genetic variation is geographically structured, in accord with historical patterns of gene flow and genetic drift. Analysis of many loci now yields reasonably accurate estimates of genetic similarity among individuals, rather than populations. Clustering of individuals is correlated with geographic origin or ancestry. These clusters are also correlated with some traditional concepts of race, but the correlations are imperfect because genetic variation tends to be distributed in a continuous, overlapping fashion among populations. Therefore, ancestry, or even race, may in some cases prove useful in the biomedical setting, but direct assessment of disease-related genetic variation will ultimately yield more accurate and beneficial information.

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Section: S30mentioning

confidence: 99%

Genetic variation, classification and 'race'

2004

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“…As a result, most of the loci used in analyses of human population structure were discovered as part of a disparate set of projects and just happened to be informative with regard to human population differentiation. Thus, their large scale utilization in the scientific community has been rather limited Watkins et al 2003).…”

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Reading TE leaves: New approaches to the identification of transposable element insertions

Ray¹,

Batzer²

2011

Genome Res.

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Transposable elements (TEs) are a tremendous source of genome instability and genetic variation. Of particular interest to investigators of human biology and human evolution are retrotransposon insertions that are recent and/or polymorphic in the human population. As a consequence, the ability to assay large numbers of polymorphic TEs in a given genome is valuable. Five recent manuscripts each propose methods to scan whole human genomes to identify, map, and, in some cases, genotype polymorphic retrotransposon insertions in multiple human genomes simultaneously. These technologies promise to revolutionize our ability to analyze human genomes for TE-based variation important to studies of human variability and human disease. Furthermore, the approaches hold promise for researchers interested in nonhuman genomic variability. Herein, we explore the methods reported in the manuscripts and discuss their applications to aspects of human biology and the biology of other organisms.

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“…4,7 Similar to SNPs, polymorphic REs are distributed differently among human populations, some of them being restricted to a particular human group(s), whereas the others are distributed evenly among many populations. 13,20,21 Evenly distributed polymorphic RE insertions are suitable for human genetic identification. We have used our recently created database PRED 18 to select highly informative Alu insertions for human identification.…”

Section: Resultsmentioning

confidence: 99%

A new set of markers for human identification based on 32 polymorphic Alu insertions

Mamedov

Shagina²,

Kurnikova³

et al. 2010

Eur J Hum Genet

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A number of genetic systems for human genetic identification based on short tandem repeats or single nucleotide polymorphisms are widely used for crime detection, kinship studies and in analysis of victims of mass disasters. Here, we have developed a new set of 32 molecular genetic markers for human genetic identification based on polymorphic retroelement insertions. Allele frequencies were determined in a group of 90 unrelated individuals from four genetically distant populations of the Russian Federation. The mean match probability and probability of paternal exclusion, calculated based on population data, were 5.53Â10 À14 and 99.784%, respectively. The developed system is cheap and easy to use as compared to all previously published methods. The application of fluorescence-based methods for allele discrimination allows to use the human genetic identification set in automatic and high-throughput formats.

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Genetic Variation Among World Populations: Inferences From 100 Alu Insertion Polymorphisms

Cited by 193 publications

References 68 publications

Genetic variation, classification and 'race'

Genetic variation, classification and 'race'

Reading TE leaves: New approaches to the identification of transposable element insertions

A new set of markers for human identification based on 32 polymorphic Alu insertions

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