Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables
出版年份 2017 全文链接
标题
Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables
作者
关键词
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出版物
GENETIC EPIDEMIOLOGY
Volume 41, Issue 8, Pages 714-725
出版商
Wiley
发表日期
2017-09-25
DOI
10.1002/gepi.22077
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- FINEMAP: efficient variable selection using summary data from genome-wide association studies
- (2016) Christian Benner et al. BIOINFORMATICS
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
- (2016) Jack Bowden et al. GENETIC EPIDEMIOLOGY
- JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects
- (2016) Paul J. Newcombe et al. GENETIC EPIDEMIOLOGY
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
- (2016) Zhihong Zhu et al. NATURE GENETICS
- Integrative approaches for large-scale transcriptome-wide association studies
- (2016) Alexander Gusev et al. NATURE GENETICS
- Re: “Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects”
- (2015) Stephen Burgess et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
- (2015) Stephen Burgess et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Fine Mapping Causal Variants with an Approximate Bayesian Method Using Marginal Test Statistics
- (2015) Wenan Chen et al. GENETICS
- A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
- (2015) Majid Nikpay et al. NATURE GENETICS
- Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods
- (2015) Stephen Burgess et al. STATISTICS IN MEDICINE
- Fine Mapping Causal Variants with an Approximate Bayesian Method Using Marginal Test Statistics
- (2015) Wenan Chen et al. GENETICS
- Statistical Testing of Shared Genetic Control for Potentially Related Traits
- (2013) Chris Wallace GENETIC EPIDEMIOLOGY
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
- (2013) Stephen Burgess et al. GENETIC EPIDEMIOLOGY
- SNP Set Association Analysis for Genome-Wide Association Studies
- (2013) Min Cai et al. PLoS One
- Genome-wide association study identifies a new locus JMJD1C at 10q21 that may influence serum androgen levels in men
- (2012) Guangfu Jin et al. HUMAN MOLECULAR GENETICS
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
- (2012) Jian Yang et al. NATURE GENETICS
- A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation
- (2012) Andrea D. Coviello et al. PLoS Genetics
- Avoiding bias from weak instruments in Mendelian randomization studies
- (2011) Stephen Burgess et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
- (2010) Brandon L Pierce et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Assumptions of IV Methods for Observational Epidemiology
- (2010) Vanessa Didelez et al. STATISTICAL SCIENCE
- Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
- (2007) Debbie A. Lawlor et al. STATISTICS IN MEDICINE
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