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

A unified framework for detecting rare variant quantitative trait associations in pedigree and unrelated individuals via sequence data.

Human heredity - 1 Jan 2012

Liu Dajiang J, Leal Suzanne M

Abstract excerpt

OBJECTIVES: There is great interest to sequence unrelated or pedigree samples for detecting rare variant quantitative trait associations. In order to reduce the cost of sequencing and improve power, many studies sequence selected samples with extreme traits. Existing methods for detecting rare variant associations were developed for unrelated samples. Methods are needed to analyze (selected or randomly...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Variation
Share to Models, Genetic
Share to Obesity

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Pedigree

Share to Quantitative Trait, Heritable

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 22555759
DOI: 10.1159/000336293
PMCID: PMC3369372

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A unified framework for detecting rare variant quantitative trait associations in pedigree and unrelated individuals via sequence data.PMID 22555759Read ↗

Methodology for the analysis of rare genetic variation in genome-wide association and re-sequencing studies of complex human traits.Semantic proximity Read ↗

Robust rare variant association testing for quantitative traits in samples with related individuals.Semantic proximity Read ↗

Increasing Generality and Power of Rare-Variant Tests by Utilizing Extended Pedigrees.Semantic proximity Read ↗

A general framework for detecting disease associations with rare variants in sequencing studies.Semantic proximity Read ↗

Test of rare variant association based on affected sib-pairs.Semantic proximity Read ↗

Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies.Semantic proximity Read ↗

RAREsim: A simulation method for very rare genetic variantsSemantic proximity Read ↗

Determining the incidence of rare diseases.Semantic proximity Read ↗

Detecting association of rare variants by testing an optimally weighted combination of variants for quantitative traits in general families.Semantic proximity Read ↗

RAREsim: A simulation method for very rare genetic variants.Semantic proximity Read ↗

Software Application Profile: RVPedigree: a suite of family-based rare variant association tests for normally and non-normally distributed quantitative traits.Semantic proximity Read ↗

Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and power.Semantic proximity Read ↗

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