The MR-Base platform supports systematic causal inference across the human phenome
Published 2018 View Full Article
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Title
The MR-Base platform supports systematic causal inference across the human phenome
Authors
Keywords
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Journal
eLife
Volume 7, Issue -, Pages -
Publisher
eLife Sciences Organisation, Ltd.
Online
2018-05-30
DOI
10.7554/elife.34408
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Note: Only part of the references are listed.- Robust research needs many lines of evidence
- (2018) Marcus R. Munafò et al. NATURE
- Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
- (2018) Marie Verbanck et al. NATURE GENETICS
- Retraction: A significant causal association between C-reactive protein levels and schizophrenia
- (2018) Masatoshi Inoshita et al. Scientific Reports
- MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
- (2017) Olena O Yavorska et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
- (2017) Fernando Pires Hartwig et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank
- (2017) Louise AC Millard et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Triangulation in aetiological epidemiology
- (2017) Debbie A. Lawlor et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Mendelian randomization in cardiometabolic disease: challenges in evaluating causality
- (2017) Michael V. Holmes et al. Nature Reviews Cardiology
- A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization
- (2017) Jack Bowden et al. STATISTICS IN MEDICINE
- Orienting the causal relationship between imprecisely measured traits using GWAS summary data
- (2017) Gibran Hemani et al. PLoS Genetics
- Inflammatory Biomarkers and Risk of Schizophrenia
- (2017) Fernando Pires Hartwig et al. JAMA Psychiatry
- PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study
- (2017) Amand F Schmidt et al. Lancet Diabetes & Endocrinology
- Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
- (2017) et al. JAMA Oncology
- Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants
- (2016) Luke C. Pilling et al. Aging-US
- Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies
- (2016) Philip C Haycock et al. AMERICAN JOURNAL OF CLINICAL NUTRITION
- PhenoScanner: a database of human genotype–phenotype associations
- (2016) James R. Staley et al. BIOINFORMATICS
- LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis
- (2016) Jie Zheng et al. BIOINFORMATICS
- FINEMAP: efficient variable selection using summary data from genome-wide association studies
- (2016) Christian Benner et al. BIOINFORMATICS
- Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively
- (2016) Andrew R. Wood et al. DIABETOLOGIA
- 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
- Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
- (2016) Jack Bowden et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique
- (2016) Fernando Pires Hartwig et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Selecting instruments for Mendelian randomization in the wake of genome-wide association studies
- (2016) Daniel I Swerdlow et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions
- (2016) Michael G. Silverman et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors
- (2016) Stephen Burgess et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Detection and interpretation of shared genetic influences on 42 human traits
- (2016) Joseph K Pickrell et al. NATURE GENETICS
- 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
- Dissecting the genetics of complex traits using summary association statistics
- (2016) Bogdan Pasaniuc et al. NATURE REVIEWS GENETICS
- Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA
- (2016) Johannes Kettunen et al. Nature Communications
- Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci
- (2016) Samuel E. Jones et al. PLoS Genetics
- Association of Lipid Fractions With Risks for Coronary Artery Disease and Diabetes
- (2016) Jon White et al. JAMA Cardiology
- Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
- (2016) Yuetiva Deming et al. Scientific Reports
- The Genetic Architecture of the Human Immune System: A Bioresource for Autoimmunity and Disease Pathogenesis
- (2015) Mario Roederer et al. CELL
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
- (2015) J. Bowden et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials
- (2015) Daniel I Swerdlow et al. LANCET
- A global reference for human genetic variation
- (2015) Richard A. Gibbs et al. NATURE
- A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
- (2015) Majid Nikpay et al. NATURE GENETICS
- An atlas of genetic correlations across human diseases and traits
- (2015) Brendan Bulik-Sullivan et al. NATURE GENETICS
- GWASdb v2: an update database for human genetic variants identified by genome-wide association studies
- (2015) Mulin Jun Li et al. NUCLEIC ACIDS RESEARCH
- The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
- (2015) et al. SCIENCE
- MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization
- (2015) Louise A. C. Millard et al. Scientific Reports
- PRSice: Polygenic Risk Score software
- (2014) Jack Euesden et al. BIOINFORMATICS
- Methodological Challenges in Mendelian Randomization
- (2014) Tyler J. VanderWeele et al. EPIDEMIOLOGY
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies
- (2014) G. Davey Smith et al. HUMAN MOLECULAR GENETICS
- An atlas of genetic influences on human blood metabolites
- (2014) So-Youn Shin et al. NATURE GENETICS
- Using Multivariable Mendelian Randomization to Disentangle the Causal Effects of Lipid Fractions
- (2014) Stephen Burgess et al. PLoS One
- Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics
- (2014) Claudia Giambartolomei et al. PLoS Genetics
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators
- (2013) B. L. Pierce et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies
- (2013) Tim Beck et al. EUROPEAN JOURNAL OF HUMAN GENETICS
- Common variants associated with plasma triglycerides and risk for coronary artery disease
- (2013) Ron Do et al. NATURE GENETICS
- Discovery and refinement of loci associated with lipid levels
- (2013) Cristen J Willer et al. NATURE GENETICS
- The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
- (2013) Danielle Welter et al. NUCLEIC ACIDS RESEARCH
- Power and Predictive Accuracy of Polygenic Risk Scores
- (2013) Frank Dudbridge PLoS Genetics
- Five Years of GWAS Discovery
- (2012) Peter M. Visscher et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Avoiding bias from weak instruments in Mendelian randomization studies
- (2011) Stephen Burgess et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations
- (2010) J. C. Denny et al. BIOINFORMATICS
- Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials
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- Unbiased estimation of odds ratios: combining genomewide association scans with replication studies
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- Major Lipids, Apolipoproteins, and Risk of Vascular Disease
- (2009) The Emerging Risk Factors Collaboration* JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt
- (2009) Steffen Durinck et al. Nature Protocols
- 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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