Article

A data harmonization pipeline to leverage external controls and boost power in GWAS

2020-12-02

Abstract excerpt

<h4> A bstract </h4> The use of external controls in genome-wide association study (GWAS) can significantly increase the size and diversity of the control sample, enabling high-resolution ancestry matching and enhancing the power to detect association signals. However, the aggregation of controls from multiple sources is challenging due to batch effects, difficulty in identifying genotyping errors, and the use...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: df6dcad2-e2cc-5367-97af-e0962bd3d4e1
DOI: 10.1101/2020.11.30.405415

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A data harmonization pipeline to leverage external controls and boost power in GWASDOI 10.1101/2020.11.30.405415Read

A data harmonization pipeline to leverage external controls and boost power in GWAS.Semantic proximity Read

Data Harmonization Guidelines to Combine Multi-platform Genomic Data from Admixed Populations and Boost Power in Genome-Wide Association Studies.Semantic proximity Read

Expanding the pool of public controls for GWAS via a method for combining genotypes from arrays and sequencingSemantic proximity Read

GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing.Semantic proximity Read

Accurate cross-platform GWAS analysis via two-stage imputationSemantic proximity Read

Integrative Harmonization of Phenotypic and Genomic Data Improves Bone Mineral Density Prediction in Multi-Study Osteoporosis Research.Semantic proximity Read

Integrating External Controls by Regression Calibration for Genome-Wide Association StudySemantic proximity Read

Integrating External Controls by Regression Calibration for Genome-Wide Association Study.Semantic proximity Read

Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality.Semantic proximity Read

Integrating external controls in case-control studies improves power for rare-variant tests.Semantic proximity Read

GRIEVOUS: your command-line general for resolving cross-dataset genotype inconsistencies.Semantic proximity Read

Improving power for rare-variant tests by integrating external controls.Semantic proximity Read