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Rare Variant Association Testing for Next-Generation Sequencing Data via Hierarchical Clustering
Author(s) -
Ioanna Tachmazidou,
Andrew D. Morris,
Eleftheria Zeggini
Publication year - 2012
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000346022
Subject(s) - type i and type ii errors , genetic association , association test , genetics , allele frequency , cluster analysis , hierarchical clustering , locus (genetics) , biology , computational biology , allele , statistical power , minor allele frequency , genome wide association study , dna sequencing , genotype , statistics , mathematics , gene , single nucleotide polymorphism
It is thought that a proportion of the genetic susceptibility to complex diseases is due to low-frequency and rare variants. Next-generation sequencing in large populations facilitates the detection of rare variant associations to disease risk. In order to achieve adequate power to detect association at low-frequency and rare variants, locus-specific statistical methods are being developed that combine information across variants within a functional unit and test for association with this enriched signal through so-called burden tests.

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