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

Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.

American journal of human genetics - 3 Oct 2024

Shyr Derek, Dey Rounak, Li Xihao, Zhou Hufeng, Boerwinkle Eric, Buyske Steve, Daly Mark, Gibbs Richard A, Hall Ira, Matise Tara, Reeves Catherine, Stitziel Nathan O, Zody Michael, Neale Benjamin M, Lin Xihong

Abstract excerpt

Large-scale, multi-ethnic whole-genome sequencing (WGS) studies, such as the National Human Genome Research Institute Genome Sequencing Program's Centers for Common Disease Genomics (CCDG), play an important role in increasing diversity for genetic research. Before performing association analyses, assessing Hardy-Weinberg equilibrium (HWE) is a crucial step in quality control procedures to remove low quality...

Read the complete abstract on PubMed

Topics

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

Share to Ethnicity
Share to Genetics, Population

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Genotype

Share to Polymorphism, Single Nucleotide

Share to Supervised Machine Learning

Share to Whole Genome Sequencing

Source

Open in PubMed Open full text

Identifiers

PMID: 39270648
DOI: 10.1016/j.ajhg.2024.08.018
PMCID: PMC11480788

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

Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.PMID 39270648Read ↗

Robust, flexible, and scalable tests for Hardy-Weinberg equilibrium across diverse ancestries.Semantic proximity Read ↗

Automatic clustering of self-defined groups to minimize false disease associations and maximize within-group genetic similaritySemantic proximity Read ↗

A high-performance SNP panel developed by machine-learning approaches for characterizing genetic differences of Southern and Northern Han Chinese, Korean, and Japanese individuals.Semantic proximity Read ↗

Hardy-Weinberg Equilibrium in Meta-Analysis Studies and Large-Scale Genomic Sequencing Era.Semantic proximity Read ↗

Accurate and scalable genome-wide ancestry estimation using haplotype clusters.Semantic proximity Read ↗

A consensus-based classification workflow to determine genetically inferred ancestry from comprehensive genomic profiling of patients with solid tumors.Semantic proximity Read ↗

Systematic analyses of AISNPs screening and classification algorithms based on genome-wide data for forensic biogeographic ancestry inference.Semantic proximity Read ↗

Genetic structure analysis of a Northwest Chinese population using a self-developed DIP system and machine learning for forensic ancestry inference.Semantic proximity Read ↗

SNVstory: A dockerized algorithm for rapid and accurate inference of sub-continental ancestrySemantic proximity Read ↗

ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction.Semantic proximity Read ↗

Machine learning-based geographical ancestry inference model for the Han Chinese population.Semantic proximity Read ↗

SNVstory: inferring genetic ancestry from genome sequencing data.Semantic proximity Read ↗

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