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

A Bayesian method for estimating gene-level polygenicity under the framework of transcriptome-wide association study.

Statistics in medicine - 20 Nov 2023

Majumdar Arunabha, Pasaniuc Bogdan

Abstract excerpt

Polygenicity refers to the phenomenon that multiple genetic variants have a nonzero effect on a complex trait. It is defined as the proportion of genetic variants with a nonzero effect on the trait. Evaluation of polygenicity can provide valuable insights into the genetic architecture of the trait. Several recent works have attempted to estimate polygenicity at the single nucleotide polymorphism level. However,...

Read the complete abstract on PubMed

Topics

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

Share to Asthma
Share to Bayes Theorem
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

Share to Transcriptome

Source

Identifiers

PMID: 37643728
DOI: 10.1002/sim.9892

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Bayesian method for estimating gene-level polygenicity under the framework of transcriptome-wide association study.PMID 37643728Read ↗

Principled measures and estimates of trait polygenicitySemantic proximity Read ↗

Principled measures and estimates of trait polygenicity.Semantic proximity Read ↗

Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits.Semantic proximity Read ↗

Expression based polygenic scores - A gene network perspective to capture individual differences in biological processesSemantic proximity Read ↗

A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies.Semantic proximity Read ↗

On prs for complex polygenic trait predictionSemantic proximity Read ↗

Pervasive polygenicity of complex traits inflates false positive rates in transcriptome-wide association studiesSemantic proximity Read ↗

Analysis of Evolutionary Conservation, Expression Level, and Genetic Association at a Genome-wide Scale Reveals Heterogeneity Across Polygenic Phenotypes.Semantic proximity Read ↗

Controlling for background genetic effects using polygenic scores improves the power of genome-wide association studies.Semantic proximity Read ↗

Highly parameterized polygenic scores tend to overfit to population stratification via random effectsSemantic proximity Read ↗

Controlling for Background Genetic Effects Using Polygenic Scores Improves the Power of Genome-wide Association StudiesSemantic proximity Read ↗

Beyond SNP Heritability: Polygenicity and Discoverability of Phenotypes Estimated with a Univariate Gaussian Mixture ModelSemantic proximity Read ↗

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