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

Haplotypic analysis of Wellcome Trust Case Control Consortium data.

Human genetics - 1 Apr 2008

Browning Brian L, Browning Sharon R

Abstract excerpt

We applied a recently developed multilocus association testing method (localized haplotype clustering) to Wellcome Trust Case Control Consortium data (14,000 cases of seven common diseases and 3,000 shared controls genotyped on the Affymetrix 500 K array). After rigorous data quality filtering, we identified three disease-associated loci with strong statistical support from localized haplotype cluster tests but...

Read the complete abstract on PubMed

Topics

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

Share to Diabetes Mellitus, Type 2
Share to Genome, Human
Share to Chromosomes, Human, Pair 10

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chromosomes, Human, Pair 15

Share to Chromosomes, Human, Pair 9

Share to Cluster Analysis

Share to Diabetes Mellitus, Type 1

Share to Hypertension

Source

Open in PubMed Open full text

Identifiers

PMID: 18224336
DOI: 10.1007/s00439-008-0472-1
PMCID: PMC2384233

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

Haplotypic analysis of Wellcome Trust Case Control Consortium data.PMID 18224336Read ↗

Genome-wide searching of rare genetic variants in WTCCC data.Semantic proximity Read ↗

Haplotype tagging for the identification of common disease genes.Semantic proximity Read ↗

Simultaneous genotype calling and haplotype phasing improves genotype accuracy and reduces false-positive associations for genome-wide association studies.Semantic proximity Read ↗

Follow-up of 1715 SNPs from the Wellcome Trust Case Control Consortium genome-wide association study in type I diabetes families.Semantic proximity Read ↗

Efficient multilocus association testing for whole genome association studies using localized haplotype clustering.Semantic proximity Read ↗

Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering.Semantic proximity Read ↗

Automated construction and testing of multi-locus gene-gene associations.Semantic proximity Read ↗

Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.Semantic proximity Read ↗

Detecting local haplotype sharing and haplotype association.Semantic proximity Read ↗

1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data.Semantic proximity Read ↗

A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.Semantic proximity Read ↗

Comparison of haplotype-based statistical tests for disease association with rare and common variants.Semantic proximity Read ↗

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