Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
Authors
Keywords
-
Journal
NATURE GENETICS
Volume 50, Issue 9, Pages 1335-1341
Publisher
Springer Nature America, Inc
Online
2018-08-08
DOI
10.1038/s41588-018-0184-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models
- (2016) Han Chen et al. AMERICAN JOURNAL OF HUMAN GENETICS
- General Methods for Evolutionary Quantitative Genetic Inference from Generalized Mixed Models
- (2016) P. de Villemereuil et al. GENETICS
- A reference panel of 64,976 haplotypes for genotype imputation
- (2016) NATURE GENETICS
- Unravelling the human genome–phenome relationship using phenome-wide association studies
- (2016) William S. Bush et al. NATURE REVIEWS GENETICS
- LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
- (2015) Brendan K Bulik-Sullivan et al. NATURE GENETICS
- Efficient Bayesian mixed-model analysis increases association power in large cohorts
- (2015) Po-Ru Loh et al. NATURE GENETICS
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
- Advantages and pitfalls in the application of mixed-model association methods
- (2014) Jian Yang et al. NATURE GENETICS
- Recommended Joint and Meta-Analysis Strategies for Case-Control Association Testing of Single Low-Count Variants
- (2013) Clement Ma et al. GENETIC EPIDEMIOLOGY
- A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects
- (2013) Khader Shameer et al. HUMAN GENETICS
- Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
- (2013) Joshua C Denny et al. NATURE BIOTECHNOLOGY
- 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
- FaST linear mixed models for genome-wide association studies
- (2011) Christoph Lippert et al. NATURE METHODS
- GCTA: A Tool for Genome-wide Complex Trait Analysis
- (2010) Jian Yang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- 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
- Genetic Structure of Europeans: A View from the North–East
- (2009) Mari Nelis et al. PLoS One
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk 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