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

Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks.

Annals of human genetics - 1 May 2023

Zigarelli Angela M, Venera Hanna M, Receveur Brody A, Wolf Jack M, Westra Jason, Tintle Nathan L

Abstract excerpt

As biobanks become increasingly popular, access to genotypic and phenotypic data continues to increase in the form of precomputed summary statistics (PCSS). Widespread accessibility of PCSS alleviates many issues related to biobank data, including that of data privacy and confidentiality, as well as high computational costs. However, questions remain about how to maximally leverage PCSS for downstream statistical...

Read the complete abstract on PubMed

Topics

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

Share to Biological Specimen Banks
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 36683423
DOI: 10.1111/ahg.12495

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks.PMID 36683423Read ↗

Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary dataSemantic proximity Read ↗

Using summary statistics to evaluate the genetic architecture of multiplicative combinations of initially analyzed phenotypes with a flexible choice of covariatesSemantic proximity Read ↗

Dissecting the genetics of complex traits using summary association statistics.Semantic proximity Read ↗

Dissecting the genetics of complex traits using summary association statisticsSemantic proximity Read ↗

Computationally efficient, exact, covariate-adjusted genetic principal component analysis by leveraging individual marker summary statistics from large biobanks.Semantic proximity Read ↗

Meta-analysis of gene-level tests for rare variant association.Semantic proximity Read ↗

Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants.Semantic proximity Read ↗

General framework for meta-analysis of rare variants in sequencing association studies.Semantic proximity Read ↗

General Framework for Meta-Analysis of Haplotype Association Tests.Semantic proximity Read ↗

Joint rare variant association test of the average and individual effects for sequencing studies.Semantic proximity Read ↗

A scalable framework for identifying allelic series from summary statistics.Semantic proximity Read ↗

Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations.Semantic proximity Read ↗

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