Adjustment for Population Stratification via Principal Components in Association Analysis of Rare Variants

Genetic Epidemiology - United States
doi 10.1002/gepi.21691
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

On Rare Variants in Principal Component Analysis of Population Stratification

BMC Genetics
Genetics
2020English

Theoretical Formulation of Principal Components Analysis to Detect and Correct for Population Stratification

PLoS ONE
Multidisciplinary
2010English

Tests of Association for Quantitative Traits in Nuclear Families Using Principal Components to Correct for Population Stratification

Annals of Human Genetics
Genetics
2009English

Allowing for Population Stratification in Association Analysis

Methods in Molecular Biology
GeneticsMolecular Biology
2011English

Adjusting for Population Stratification in a Fine Scale With Principal Components and Sequencing Data

Genetic Epidemiology
EpidemiologyGenetics
2013English

Principal-Component Analysis for Assessment of Population Stratification in Mitochondrial Medical Genetics

American Journal of Human Genetics
Genetics
2010English

Correcting for Population Stratification in Genomewide Association Studies

Journal of the American Statistical Association
UncertaintyStatisticsProbability
2011English

Principal Components Regression by Using Generalized Principal Components Analysis

JOURNAL OF THE JAPAN STATISTICAL SOCIETY
2013English

Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies

PLoS Genetics
EvolutionEcologyGeneticsMolecular BiologyCancer ResearchSystematicsBehavior
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy