Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel.

doi:10.1002/ajmg.b.32834

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

Community

Back to search

Article

Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics - 1 Jan 2021

Chatzinakos Chris, Lee Donghyung, Cai Na, Vladimirov Vladimir I, Webb Bradley T, Riley Brien P, Flint Jonathan, Kendler Kenneth S, Ressler Kerry J, Daskalakis Nikolaos P, Bacanu Silviu-Alin

Abstract excerpt

Genotype imputation across populations of mixed ancestry is critical for optimal discovery in large-scale genome-wide association studies (GWAS). Methods for direct imputation of GWAS summary-statistics were previously shown to be practically as accurate as summary statistics produced after raw genotype imputation, while incurring orders of magnitude lower computational burden. Given that direct imputation needs...

Read the complete abstract on PubMed

Topics

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

Share to Cohort Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genome-Wide Association Study

Share to Linkage Disequilibrium

Share to Mental Disorders

Share to Polymorphism, Single Nucleotide

Share to Reference Standards

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 33576176
DOI: 10.1002/ajmg.b.32834
PMCID: PMC8247874

Genes

PGC
PKN2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel.PMID 33576176Read ↗

DISTMIX: direct imputation of summary statistics for unmeasured SNPs from mixed ethnicity cohorts.Semantic proximity Read ↗

Characterizing substructure via mixture modeling in large-scale genetic summary statistics.Semantic proximity Read ↗

Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation.Semantic proximity Read ↗

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder.Semantic proximity Read ↗

Background covariance adjustment distills shared genetic architecture across neurodevelopmental and neurodegenerative disordersSemantic proximity Read ↗

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel.Semantic proximity Read ↗

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

NeuroBooster Array: A Genome-Wide Genotyping Platform to Study Neurological Disorders Across Diverse PopulationsSemantic proximity Read ↗

Translating genome-wide association findings into new therapeutics for psychiatry.Semantic proximity Read ↗

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDDSemantic proximity Read ↗

Admixed gene expression models expand molecular and neurological insights into 6 major psychiatric disordersSemantic proximity Read ↗

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

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