Abstracts - faqs.org

Abstracts

Biological sciences

Search abstracts:
Abstracts » Biological sciences

A simple and improved correction for population stratification in case-control studies

Article Abstract:

Available approaches for controlling stratification by use of substructure-informative loci is not able to resolve the population stratification in case-control studies of disease-marker association hence, a new two-step procedure is proposed to address the issue. This two-step procedure approach yields a more appropriate correction for stratification than the principal components or genomic control.

Author: Satten, Glen A., Epstein, Michael P., Allen, Andrew S.
Publisher: University of Chicago Press
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2007
United States, Quantitative trait loci

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Measuring European population stratification with microarray genotype data

Article Abstract:

The population structure in Europeans of known and unknown ancestry is explored using a report on genomewide typing of approximately 10,000 single-nucleotide polymorphisms in 297 individuals. The results show the presence of several significant axes of stratification, particularly in a northern-southeastern trend and also along an east-west axis.

Author: Bradley, Daniel G., Shriver, Mark D., Bauchet, Marc, McEvoy, Brian, Pearson, Laurel N., Quillen, Ellen E., Sarkisian, Tamara, Hovhannesyan, Kristine, Deka, Ranjan
Publisher: University of Chicago Press
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2007
Europe, Genetic aspects, Europeans, DNA microarrays

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


An evaluation of power and type I error of single-nucleotide polymorphism transmission/disequilibrium-based statistical methods under different family structures, missing parental data, and population stratification

Article Abstract:

A simulation study design is used to compare the power and type I error of eight transmlssion/disequilibrium (TD)-based methods under different family structures, frequencies of missing parental data, genetic model and population stratifications. It is found that type I error is appropriate for every test statistic under all conditions.

Author: Nicodemus, Kristin K., Luna, Augustin, Yin Yao Shugart
Publisher: University of Chicago Press
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2007
Heredity, Human, Human heredity, Report

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Subjects list: Research, Analysis, Human population genetics, Single nucleotide polymorphisms
Similar abstracts:
  • Abstracts: Enhanced exopolymer production and chromium stabilization in Pseudomonas putida unsaturated biofilms. Diversity, composition, and geographical distribution of microbial communities in California salt marsh sediments
  • Abstracts: Asymmetric introgression of African genes in honeybee populations (Apis mellifera L.) in Central Mexico. Genetic structure of Africanized honeybee populations (Apis mellifera L.) from Brazil and Uruguay viewed through mitochondrial DNA COI-COII patterns
  • Abstracts: New rapid and simple methods for detection of bacteria and determination of their antibiotic susceptibility by using phage mutants
  • Abstracts: Sec-mediated transport of posttranslationally dehydrated peptides in Lactococcus lactis. Sec-mediated secretion of bacteriocin enterocin P by Lactococcus lactis
  • Abstracts: Autoscreening of restriction endonucleases for PCR-restriction fragment length polymorphism identification of fungal species, with Pleurotus spp. as an example
This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.
Some parts © 2025 Advameg, Inc.