Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization.

PLoS genetics - 1 Apr 2024

Wang Peiyao, Lin Zhaotong, Xue Haoran, Pan Wei

Abstract excerpt

Genome-wide association studies (GWAS) have identified many genetic loci associated with complex traits and diseases in the past 20 years. Multiple heritable covariates may be added into GWAS regression models to estimate direct effects of genetic variants on a focal trait, or to improve the power by accounting for environmental effects and other sources of trait variations. When one or more covariates are...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bias
Share to Body Mass Index
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Mendelian Randomization Analysis

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 38648211
DOI: 10.1371/journal.pgen.1011246
PMCID: PMC11065275

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization.PMID 38648211Read ↗

A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statisticsSemantic proximity Read ↗

Multivariable MR Can Mitigate Bias in Two-Sample MR Using Covariable-Adjusted Summary Associations.Semantic proximity Read ↗

Adjusting for heritable covariates can bias effect estimates in genome-wide association studies.Semantic proximity Read ↗

MRBEE: A novel bias-corrected multivariable Mendelian Randomization methodSemantic proximity Read ↗

Testing and correcting for weak and pleiotropic instruments in two-sample multivariable Mendelian randomization.Semantic proximity Read ↗

Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model.Semantic proximity Read ↗

Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.Semantic proximity Read ↗

Outlier Detection in Mendelian Randomization.Semantic proximity Read ↗

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data.Semantic proximity Read ↗

Estimating Causal Effects on a Disease Progression Trait Using Bivariate Mendelian Randomisation.Semantic proximity Read ↗

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level dataSemantic proximity Read ↗

Weak and pleiotropy robust sex-stratified Mendelian randomization in the one sample and two sample settings.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.