Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
出版年份 2014 全文链接
标题
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
作者
关键词
-
出版物
BIOINFORMATICS
Volume 30, Issue 22, Pages 3206-3214
出版商
Oxford University Press (OUP)
发表日期
2014-07-30
DOI
10.1093/bioinformatics/btu504
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。- Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants
- (2013) Iuliana Ionita-Laza et al. AMERICAN JOURNAL OF HUMAN GENETICS
- A powerful and efficient set test for genetic markers that handles confounders
- (2013) Jennifer Listgarten et al. BIOINFORMATICS
- Adjusted Sequence Kernel Association Test for Rare Variants Controlling for Cryptic and Family Relatedness
- (2013) Karim Oualkacha et al. GENETIC EPIDEMIOLOGY
- Imputation-Based Meta-Analysis of Severe Malaria in Three African Populations
- (2013) Gavin Band et al. PLoS Genetics
- Optimal Unified Approach for Rare-Variant Association Testing with Application to Small-Sample Case-Control Whole-Exome Sequencing Studies
- (2012) Seunggeun Lee et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Optimal tests for rare variant effects in sequencing association studies
- (2012) S. Lee et al. BIOSTATISTICS
- Sequence Kernel Association Test for Quantitative Traits in Family Samples
- (2012) Han Chen et al. GENETIC EPIDEMIOLOGY
- Improved linear mixed models for genome-wide association studies
- (2012) Jennifer Listgarten et al. NATURE METHODS
- Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
- (2011) Michael C. Wu et al. AMERICAN JOURNAL OF HUMAN GENETICS
- FaST linear mixed models for genome-wide association studies
- (2011) Christoph Lippert et al. NATURE METHODS
- A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease
- (2011) Iuliana Ionita-Laza et al. PLoS Genetics
- Testing for an Unusual Distribution of Rare Variants
- (2011) Benjamin M. Neale et al. PLoS Genetics
- Extending Rare-Variant Testing Strategies: Analysis of Noncoding Sequence and Imputed Genotypes
- (2010) Matthew Zawistowski et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Pooled Association Tests for Rare Variants in Exon-Resequencing Studies
- (2010) Alkes L. Price et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Powerful SNP-Set Analysis for Case-Control Genome-wide Association Studies
- (2010) Michael C. Wu et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Testing SNPs and sets of SNPs for importance in association studies
- (2010) H. Schwender et al. BIOSTATISTICS
- An integrative method for scoring candidate genes from association studies: application to warfarin dosing
- (2010) Nicholas P Tatonetti et al. BMC BIOINFORMATICS
- A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants
- (2010) Fang Han et al. HUMAN HEREDITY
- A Covering Method for Detecting Genetic Associations between Rare Variants and Common Phenotypes
- (2010) Gaurav Bhatia et al. PLoS Computational Biology
- A Novel Adaptive Method for the Analysis of Next-Generation Sequencing Data to Detect Complex Trait Associations with Rare Variants Due to Gene Main Effects and Interactions
- (2010) Dajiang J. Liu et al. PLoS Genetics
- A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic
- (2009) Bo Eskerod Madsen et al. PLoS Genetics
- Methods for Detecting Associations with Rare Variants for Common Diseases: Application to Analysis of Sequence Data
- (2008) Bingshan Li et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models
- (2008) Dawei Liu et al. BMC BIOINFORMATICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started