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

Privacy preserving protocol for detecting genetic relatives using rare variants.

Bioinformatics (Oxford, England) - 15 Jun 2014

Hormozdiari Farhad, Joo Jong Wha J, Wadia Akshay, Guan Feng, Ostrosky Rafail, Sahai Amit, Eskin Eleazar

Abstract excerpt

MOTIVATION: High-throughput sequencing technologies have impacted many areas of genetic research. One such area is the identification of relatives from genetic data. The standard approach for the identification of genetic relatives collects the genomic data of all individuals and stores it in a database. Then, each pair of individuals is compared to detect the set of genetic relatives, and the matched individuals...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Privacy
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genomics

Share to Haplotypes

Share to High-Throughput Nucleotide Sequencing

Share to Pedigree

Source

Open in PubMed Open full text

Identifiers

PMID: 24931985
DOI: 10.1093/bioinformatics/btu294
PMCID: PMC4058916

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

Privacy preserving protocol for detecting genetic relatives using rare variants.PMID 24931985Read ↗

Identifying disease-causing mutations with privacy protection.Semantic proximity Read ↗

An overview of human genetic privacySemantic proximity Read ↗

Privacy considerations for sharing genomics dataSemantic proximity Read ↗

An Inference Attack on Genomic Data Using Kinship, Complex Correlations, and Phenotype Information.Semantic proximity Read ↗

Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies.Semantic proximity Read ↗

Routes for breaching and protecting genetic privacySemantic proximity Read ↗

Private detection of relatives in forensic genomics using homomorphic encryption.Semantic proximity Read ↗

Privacy preserving storage of sequenced genomic dataSemantic proximity Read ↗

Revealing the causative variant in Mendelian patient genomes without revealing patient genomesSemantic proximity Read ↗

Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United StatesSemantic proximity Read ↗

Privacy-preserving storage of sequenced genomic data.Semantic proximity Read ↗

Privacy-aware estimation of relatedness in admixed populations.Semantic proximity Read ↗

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