Evaluation of approaches for identifying population informative markers from high density SNP Chips

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Evaluation of ten SNP Markers for Human Identification and Paternity Analysis in Persian Population

Background: DNA markers are inevitable tools of human identification in forensic science. Single Nucleotide Polymorphisms (SNPs) are one category of these markers which is concerned to use especially in the case of degraded DNA because of their short amplicons. Objectives: Detection of highly informative SNPs by the criteria is the essential step to devel...

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Genetic Diversity and Population Structure of Ethiopian Sheep Populations Revealed by High-Density SNP Markers

Sheep in Ethiopia are adapted to a wide range of environments, including extreme habitats. Elucidating their genetic diversity is critical for improving breeding strategies and mapping quantitative trait loci associated with productivity. To this end, the present study investigated the genetic diversity and population structure of five Ethiopian sheep populations exhibiting distinct phenotypes ...

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Finding Markers That Make a Difference: DNA Pooling and SNP-Arrays Identify Population Informative Markers for Genetic Stock Identification

Genetic stock identification (GSI) using molecular markers is an important tool for management of migratory species. Here, we tested a cost-effective alternative to individual genotyping, known as allelotyping, for identification of highly informative SNPs for accurate genetic stock identification. We estimated allele frequencies of 2880 SNPs from DNA pools of 23 Atlantic salmon populations usi...

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Ascertainment biases in SNP chips affect measures of population divergence.

Chip-based high-throughput genotyping has facilitated genome-wide studies of genetic diversity. Many studies have utilized these large data sets to make inferences about the demographic history of human populations using measures of genetic differentiation such as F(ST) or principal component analyses. However, the single nucleotide polymorphism (SNP) chip data suffer from ascertainment biases ...

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ژورنال

عنوان ژورنال: BMC Genetics

سال: 2011

ISSN: 1471-2156

DOI: 10.1186/1471-2156-12-45