Article

Methods for rare-variant association analysis

2022-12-01

Abstract excerpt

Rare variants contribute to development of familial cancer. Genes carrying rare variants may contribute to molecular mechanisms of sporadic cancers. Historically, many of the rare variants were discovered by co-segregation with the disease in cancer families. However, recent progress in population scale sequencing opens new opportunities for using association analysis for detection of rare variants. The standar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6eff33a0-64ab-5e5d-a62d-971ac4fa1594
DOI: 10.6019/tol.rare-variant-w.2022.00001.1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Methods for rare-variant association analysisDOI 10.6019/tol.rare-variant-w.2022.00001.1Read

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

Rare-variant association analysis: study designs and statistical tests.Semantic proximity Read

Discovery of rare variants for complex phenotypes.Semantic proximity Read

Rare variant analysis for family-based design.Semantic proximity Read

Association Tests for Rare Variants.Semantic proximity Read

Identifying rare variants associated with complex traits via sequencing.Semantic proximity Read

Detecting rare variants.Semantic proximity Read

Statistical analysis strategies for association studies involving rare variants.Semantic proximity Read

Detecting Multiethnic Rare Variants.Semantic proximity Read

Large numbers of individuals are required to classify and define risk for rare variants in known cancer risk genes.Semantic proximity Read

Novel Methods for Family-Based Genetic Studies.Semantic proximity Read

gsSKAT: Rapid gene set analysis and multiple testing correction for rare-variant association studies using weighted linear kernels.Semantic proximity Read