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

Inference of kinship using spatial distributions of SNPs for genome-wide association studies.

BMC genomics - 20 May 2016

Lee Hyokyeong, Chen Liang

Abstract excerpt

BACKGROUND: Genome-wide association studies (GWASs) are powerful in identifying genetic loci which cause complex traits of common diseases. However, it is well known that inappropriately accounting for pedigree or population structure leads to spurious associations. GWASs have often encountered increased type I error rates due to the correlated genotypes of cryptically related individuals or subgroups. Therefore,...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetics, Population
Share to Genome, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Genomics

Share to HapMap Project

Share to Models, Genetic

Share to Pedigree

Source

Open in PubMed Open full text

Identifiers

PMID: 27206321
DOI: 10.1186/s12864-016-2696-0
PMCID: PMC4873983

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

Inference of kinship using spatial distributions of SNPs for genome-wide association studies.PMID 27206321Read ↗

Inference of kinship coefficients from Korean SNP genotyping data.Semantic proximity Read ↗

Robust relationship inference in genome-wide association studies.Semantic proximity Read ↗

Identification of novel SNP markers for kinship analysis in the Korean population.Semantic proximity Read ↗

<i>KinformR</i>: novel pedigree and candidate variant scoring methods for family-based genetic studiesSemantic proximity Read ↗

Estimation of kinship coefficient in structured and admixed populations using sparse sequencing data.Semantic proximity Read ↗

Estimation of inbreeding and kinship coefficients via latent identity-by-descent statesSemantic proximity Read ↗

Inference of unexpected genetic relatedness among individuals in HapMap Phase III.Semantic proximity Read ↗

Genetic association models are robust to common population kinship estimation biases.Semantic proximity Read ↗

A Pipeline for Classifying Relationships Using Dense SNP/SNV Data and Putative Pedigree Information.Semantic proximity Read ↗

Assessment of kinship detection using RNA-seq dataSemantic proximity Read ↗

Application of genome-wide SNP data for uncovering pairwise relationships and quantitative trait loci.Semantic proximity Read ↗

skater: an R package for SNP-based kinship analysis, testing, and evaluation.Semantic proximity Read ↗

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