Comparison of Methods to Account for Relatedness in Genome-Wide Association Studies with Family-Based Data
出版年份 2014 全文链接
标题
Comparison of Methods to Account for Relatedness in Genome-Wide Association Studies with Family-Based Data
作者
关键词
Molecular genetics, Genome-wide association studies, Software tools, Test statistics, Simulation and modeling, Research errors, Quantitative traits, Computer software
出版物
PLoS Genetics
Volume 10, Issue 7, Pages e1004445
出版商
Public Library of Science (PLoS)
发表日期
2014-07-18
DOI
10.1371/journal.pgen.1004445
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- MASTOR: Mixed-Model Association Mapping of Quantitative Traits in Samples with Related Individuals
- (2013) Johanna Jakobsdottir et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
- (2013) Matti Pirinen et al. Annals of Applied Statistics
- Mendel: the Swiss army knife of genetic analysis programs
- (2013) Kenneth Lange et al. BIOINFORMATICS
- An Analytical Comparison of the Principal Component Method and the Mixed Effects Model for Association Studies in the Presence of Cryptic Relatedness and Population Stratification
- (2013) Kai Wang et al. HUMAN HEREDITY
- Common variants in the HLA-DRB1–HLA-DQA1 HLA class II region are associated with susceptibility to visceral leishmaniasis
- (2013) Michaela Fakiola et al. NATURE GENETICS
- The benefits of selecting phenotype-specific variants for applications of mixed models in genomics
- (2013) Christoph Lippert et al. Scientific Reports
- Improved Heritability Estimation from Genome-wide SNPs
- (2012) Doug Speed et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Genome-Wide Association Mapping With Longitudinal Data
- (2012) Nicholas A. Furlotte et al. GENETIC EPIDEMIOLOGY
- Rapid variance components–based method for whole-genome association analysis
- (2012) Gulnara R Svishcheva et al. NATURE GENETICS
- Genome-wide efficient mixed-model analysis for association studies
- (2012) Xiang Zhou et al. NATURE GENETICS
- Improved linear mixed models for genome-wide association studies
- (2012) Jennifer Listgarten et al. NATURE METHODS
- A Flexible Model for Association Analysis in Sibships with Missing Genotype Data
- (2011) Frank Dudbridge et al. ANNALS OF HUMAN GENETICS
- Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
- (2011) Stephen Sawcer et al. NATURE
- FaST linear mixed models for genome-wide association studies
- (2011) Christoph Lippert et al. NATURE METHODS
- ROADTRIPS: Case-Control Association Testing with Partially or Completely Unknown Population and Pedigree Structure
- (2010) Timothy Thornton et al. AMERICAN JOURNAL OF HUMAN GENETICS
- GCTA: A Tool for Genome-wide Complex Trait Analysis
- (2010) Jian Yang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Robust relationship inference in genome-wide association studies
- (2010) Ani Manichaikul et al. BIOINFORMATICS
- Mixed linear model approach adapted for genome-wide association studies
- (2010) Zhiwu Zhang et al. NATURE GENETICS
- Variance component model to account for sample structure in genome-wide association studies
- (2010) Hyun Min Kang et al. NATURE GENETICS
- Reconciling the analysis of IBD and IBS in complex trait studies
- (2010) Joseph E. Powell et al. NATURE REVIEWS GENETICS
- Population Structure and Cryptic Relatedness in Genetic Association Studies
- (2010) William Astle et al. STATISTICAL SCIENCE
- Genetic Admixture in Brazilians Exposed to Infection withLeishmania chagasi
- (2009) Nicholas A. Ettinger et al. ANNALS OF HUMAN GENETICS
- Fast model-based estimation of ancestry in unrelated individuals
- (2009) D. H. Alexander et al. GENOME RESEARCH
- Efficient Control of Population Structure in Model Organism Association Mapping
- (2008) H. M. Kang et al. GENETICS
- Likelihood-Based Association Analysis for Nuclear Families and Unrelated Subjects with Missing Genotype Data
- (2008) Frank Dudbridge HUMAN HEREDITY
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