Literature DB >> 20200434

Saliva-derived DNA performs well in large-scale, high-density single-nucleotide polymorphism microarray studies.

Melanie Bahlo1, Jim Stankovich, Patrick Danoy, Peter F Hickey, Bruce V Taylor, Sharon R Browning, Matthew A Brown, Justin P Rubio.   

Abstract

As of June 2009, 361 genome-wide association studies (GWAS) had been referenced by the HuGE database. GWAS require DNA from many thousands of individuals, relying on suitable DNA collections. We recently performed a multiple sclerosis (MS) GWAS where a substantial component of the cases (24%) had DNA derived from saliva. Genotyping was done on the Illumina genotyping platform using the Infinium Hap370CNV DUO microarray. Additionally, we genotyped 10 individuals in duplicate using both saliva- and blood-derived DNA. The performance of blood- versus saliva-derived DNA was compared using genotyping call rate, which reflects both the quantity and quality of genotyping per sample and the "GCScore," an Illumina genotyping quality score, which is a measure of DNA quality. We also compared genotype calls and GCScores for the 10 sample pairs. Call rates were assessed for each sample individually. For the GWAS samples, we compared data according to source of DNA and center of origin. We observed high concordance in genotyping quality and quantity between the paired samples and minimal loss of quality and quantity of DNA in the saliva samples in the large GWAS sample, with the blood samples showing greater variation between centers of origin. This large data set highlights the usefulness of saliva DNA for genotyping, especially in high-density single-nucleotide polymorphism microarray studies such as GWAS.

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Year:  2010        PMID: 20200434     DOI: 10.1158/1055-9965.EPI-09-0812

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  29 in total

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Authors:  Jimmie B Vaught; Marianne K Henderson; Carolyn C Compton
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-02       Impact factor: 4.254

2.  Chromosomal Microarray Detection of Constitutional Copy Number Variation Using Saliva DNA.

Authors:  Jennifer Reiner; Lisa Karger; Ninette Cohen; Lakshmi Mehta; Lisa Edelmann; Stuart A Scott
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3.  Perceived Racial Discrimination and DNA Methylation Among African American Women in the InterGEN Study.

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4.  Integrating heterogeneous high-throughput data for meta-dimensional pharmacogenomics and disease-related studies.

Authors:  Emily R Holzinger; Marylyn D Ritchie
Journal:  Pharmacogenomics       Date:  2012-01       Impact factor: 2.533

5.  Novel DNA methylation sites associated with cigarette smoking among African Americans.

Authors:  Veronica Barcelona; Yunfeng Huang; Kristen Brown; Jiaxuan Liu; Wei Zhao; Miao Yu; Sharon L R Kardia; Jennifer A Smith; Jacquelyn Y Taylor; Yan V Sun
Journal:  Epigenetics       Date:  2019-03-27       Impact factor: 4.528

6.  The Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure (InterGEN) Study: Design and Methods for Complex DNA Analysis.

Authors:  Jacquelyn Y Taylor; Michelle L Wright; Cindy A Crusto; Yan V Sun
Journal:  Biol Res Nurs       Date:  2016-04-26       Impact factor: 2.522

7.  Collection and extraction of saliva DNA for next generation sequencing.

Authors:  Michael R Goode; Soo Yeon Cheong; Ning Li; William C Ray; Christopher W Bartlett
Journal:  J Vis Exp       Date:  2014-08-27       Impact factor: 1.355

8.  Saliva samples are a viable alternative to blood samples as a source of DNA for high throughput genotyping.

Authors:  Jean E Abraham; Mel J Maranian; Inmaculada Spiteri; Roslin Russell; Susan Ingle; Craig Luccarini; Helena M Earl; Paul P D Pharoah; Alison M Dunning; Carlos Caldas
Journal:  BMC Med Genomics       Date:  2012-05-30       Impact factor: 3.063

9.  Genotyping performance between saliva and blood-derived genomic DNAs on the DMET array: a comparison.

Authors:  Yueshan Hu; Erik A Ehli; Kelly Nelson; Krista Bohlen; Christophina Lynch; Patty Huizenga; Julie Kittlelsrud; Timothy J Soundy; Gareth E Davies
Journal:  PLoS One       Date:  2012-03-20       Impact factor: 3.240

10.  Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis.

Authors:  Jessica G Woo; Lisa J Martin; Lili Ding; W Mark Brown; Timothy D Howard; Carl D Langefeld; Charles J Moomaw; Mary Haverbusch; Guangyun Sun; Subba R Indugula; Hong Cheng; Ranjan Deka; Daniel Woo
Journal:  BMC Genet       Date:  2012-08-25       Impact factor: 2.797

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