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

Evaluation of transethnic fine mapping with population-specific and cosmopolitan imputation reference panels in diverse Asian populations.

European journal of human genetics : EJHG - 1 Apr 2016

Wang Xu, Cheng Ching-Yu, Liao Jiemin, Sim Xueling, Liu Jianjun, Chia Kee-Seng, Tai E-Shyong, Little Peter, Khor Chiea-Chuen, Aung Tin, Wong Tien-Yin, Teo Yik-Ying

Abstract excerpt

There has been limited success in identifying causal variants underlying association signals observed in genome-wide association studies (GWAS). The use of 1000 Genomes Project (1KGP) allows the imputation to estimate the genetic information at untyped variants. However, long stretches of high li...

Read the complete abstract on PubMed

Topics

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

Share to Asian People
Share to Chromosome Mapping

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Loci

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Linkage Disequilibrium

Share to Pedigree

Share to Reference Standards

Source

Open in PubMed Open full text

Identifiers

PMID: 26130488
DOI: 10.1038/ejhg.2015.150
PMCID: PMC4929869

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-26130488-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evaluation of transethnic fine mapping with population-specific and cosmopolitan imputation reference panels in diverse Asian populations.PMID 26130488Read ↗

Genotype-imputation accuracy across worldwide human populations.Semantic proximity Read ↗

From genome-wide associations to candidate causal variants by statistical fine-mapping.Semantic proximity Read ↗

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.Semantic proximity Read ↗

Imputation Disparities Driven by Recent Selection and Their Impact on Disease Risk Estimation in East and Southeast Asian PopulationsSemantic proximity Read ↗

Imputation Disparities Driven by Recent Selection and Their Impact on Disease Risk Estimation in East and Southeast Asian PopulationsSemantic proximity Read ↗

Identifying candidate causal variants via trans-population fine-mapping.Semantic proximity Read ↗

Haplotype reference consortium panel: Practical implications of imputations with large reference panels.Semantic proximity Read ↗

Imputation accuracy across global human populations.Semantic proximity Read ↗

Imputation Accuracy Across Global Human PopulationsSemantic proximity Read ↗

Evaluation of imputation performance of multiple reference panels in a Pakistani population.Semantic proximity Read ↗

Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populationsSemantic proximity Read ↗

The predictive capacity of polygenic risk scores for disease risk is only moderately influenced by imputation panels tailored to the target populationSemantic proximity Read ↗

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