Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

High-resolution SNP microarray investigation of copy number variations on chromosome 18 in a control cohort

Thumbnail Image

Date

2013

Authors

Chia, Nicole
Bryce, Michaela
Hickman, Peter
Potter, Julia
Glasgow, Nicholas
Koerbin, Gus
Danoy, P
Brown, M. A
Cavanaugh, Juleen

Journal Title

Journal ISSN

Volume Title

Publisher

S Karger AG

Abstract

Copy number variations (CNVs) as described in the healthy population are purported to contribute significantly to genetic heterogeneity. Recent studies have described CNVs using lymphoblastoid cell lines or by application of specifically developed algorit

Description

Keywords

Keywords: algorithm; Alu sequence; article; centromere; chromosome 18; chromosome analysis; chromosome size; consensus sequence; controlled study; copy number variation; DNA microarray; gene frequency; genetic association; genomic instability; high density single n Chromosome 18; Microhomology; Sequence; SNP microarray

Citation

URI

http://hdl.handle.net/1885/74037

Collections

ANU Research Publications

Source

Cytogenetic and Genome Research

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1159/000350767

Restricted until

2037-12-31

Downloads

File
Description
01_Chia_High-resolution_SNP_microarray_2013.pdf (694.35 KB)

DSpace software copyright © 2002-2026 LYRASIS

abcd