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 new method for estimating effect size distribution and heritability from genome-wide association summary results.

Human genetics - 1 Feb 2016

Zhang Lei, Shen Yue-Ping, Hu Wen-Zhu, Ran Shu, Lin Yong, Lei Shu-Feng, Zhang Yong-Hong, Papasian Christopher J, Yi Nengjun, Pei Yu-Fang

Abstract excerpt

Accurately estimating the distribution and heritability of SNP effects across the genome could help explain the mystery of missing heritability. In this study, we propose a novel statistical method for estimating the distribution and heritability of SNP effects from genome-wide association studies (GWASs), and compare its performance to several existing methods using both simulations and real data. Specifically,...

Read the complete abstract on PubMed

Topics

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

Share to Body Mass Index
Share to Bone Density

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to Likelihood Functions

Share to Linkage Disequilibrium

Share to Meta-Analysis as Topic

Share to Models, Genetic

Share to Quantitative Trait, Heritable

Source

Identifiers

PMID: 26661625
DOI: 10.1007/s00439-015-1621-y

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

A new method for estimating effect size distribution and heritability from genome-wide association summary results.PMID 26661625Read ↗

Estimation of effect size distribution from genome-wide association studies and implications for future discoveries.Semantic proximity Read ↗

Bayesian large-scale multiple regression with summary statistics from genome-wide association studiesSemantic proximity Read ↗

Novel method to estimate the phenotypic variation explained by genome-wide association studies reveals large fraction of the missing heritability.Semantic proximity Read ↗

Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits and implications for the futureSemantic proximity Read ↗

Improved heritability estimation from genome-wide SNPs.Semantic proximity Read ↗

Heritability Estimation Approaches Utilizing Genome-Wide Data.Semantic proximity Read ↗

Improved polygenic prediction by Bayesian multiple regression on summary statisticsSemantic proximity Read ↗

Common SNPs explain a large proportion of the heritability for human height.Semantic proximity Read ↗

Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.Semantic proximity Read ↗

A review of SNP heritability estimation methods.Semantic proximity Read ↗

Phenome-wide heritability analysis of the UK Biobank.Semantic proximity Read ↗

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse AncestriesSemantic proximity Read ↗

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