The effect of phenotypic outliers and non-normality on rare-variant association testing
出版年份 2016 全文链接
标题
The effect of phenotypic outliers and non-normality on rare-variant association testing
作者
关键词
-
出版物
EUROPEAN JOURNAL OF HUMAN GENETICS
Volume 24, Issue 8, Pages 1188-1194
出版商
Springer Nature
发表日期
2016-01-06
DOI
10.1038/ejhg.2015.270
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。- Genetic studies of body mass index yield new insights for obesity biology
- (2015) Adam E. Locke et al. NATURE
- Rare variant association studies: considerations, challenges and opportunities
- (2015) Paul L Auer et al. Genome Medicine
- Rare-Variant Association Analysis: Study Designs and Statistical Tests
- (2014) Seunggeung Lee et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol
- (2014) Leslie A. Lange et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Association of Low-Frequency and Rare Coding-Sequence Variants with Blood Lipids and Coronary Heart Disease in 56,000 Whites and Blacks
- (2014) Gina M. Peloso et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Association of exome sequences with plasma C-reactive protein levels in >9000 participants
- (2014) Ursula M. Schick et al. HUMAN MOLECULAR GENETICS
- Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction
- (2014) Ron Do et al. NATURE
- Rare and low-frequency coding variants in CXCR2 and other genes are associated with hematological traits
- (2014) Paul L Auer et al. NATURE GENETICS
- Loss-of-Function Mutations in APOC3, Triglycerides, and Coronary Disease
- (2014) NEW ENGLAND JOURNAL OF MEDICINE
- Testing for Rare Variant Associations in the Presence of Missing Data
- (2013) Paul L. Auer et al. GENETIC EPIDEMIOLOGY
- A Variational Bayes Discrete Mixture Test for Rare Variant Association
- (2013) Benjamin A. Logsdon et al. GENETIC EPIDEMIOLOGY
- Linear Regression in Genetic Association Studies
- (2013) Petra Bůžková PLoS One
- 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
- Exome sequencing of extreme phenotypes identifies DCTN4 as a modifier of chronic Pseudomonas aeruginosa infection in cystic fibrosis
- (2012) Mary J Emond et al. NATURE GENETICS
- Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion
- (2012) Jeroen R Huyghe et al. NATURE GENETICS
- A General Framework for Detecting Disease Associations with Rare Variants in Sequencing Studies
- (2011) Dan-Yu Lin et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
- (2011) Michael C. Wu et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Bias due to two-stage residual-outcome regression analysis in genetic association studies
- (2011) Serkalem Demissie et al. GENETIC EPIDEMIOLOGY
- Genome-Wide Association Study of White Blood Cell Count in 16,388 African Americans: the Continental Origins and Genetic Epidemiology Network (COGENT)
- (2011) Alexander P. Reiner et al. PLoS Genetics
- Pooled Association Tests for Rare Variants in Exon-Resequencing Studies
- (2010) Alkes L. Price et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited?
- (2009) T. Mark Beasley et al. BEHAVIOR GENETICS
- An evaluation of statistical approaches to rare variant analysis in genetic association studies
- (2009) Andrew P. Morris et al. GENETIC EPIDEMIOLOGY
- Finding the missing heritability of complex diseases
- (2009) Teri A. Manolio et al. NATURE
- 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
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