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A whole genome SNP genotyping by DNA microarray and candidate gene association study for kidney stone disease

dc.contributor.authorNanyawan Rungrojen_US
dc.contributor.authorChoochai Nettuwakulen_US
dc.contributor.authorNirinya Sudtachaten_US
dc.contributor.authorOranud Praditsapen_US
dc.contributor.authorNunghathai Sawasdeeen_US
dc.contributor.authorSuchai Sritippayawanen_US
dc.contributor.authorDuangporn Chuawattanaen_US
dc.contributor.authorPa thai Yenchitsomanusen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherThailand National Center for Genetic Engineering and Biotechnologyen_US
dc.date.accessioned2018-11-09T01:52:48Z
dc.date.available2018-11-09T01:52:48Z
dc.date.issued2014-05-02en_US
dc.description.abstractBackground: Kidney stone disease (KSD) is a complex disorder with unknown etiology in majority of the patients. Genetic and environmental factors may cause the disease. In the present study, we used DNA microarray to genotype single nucleotide polymorphisms (SNP) and performed candidate gene association analysis to determine genetic variations associated with the disease.Methods: A whole genome SNP genotyping by DNA microarray was initially conducted in 101 patients and 105 control subjects. A set of 104 candidate genes reported to be involved in KSD, gathered from public databases and candidate gene association study databases, were evaluated for their variations associated with KSD.Results: Altogether 82 SNPs distributed within 22 candidate gene regions showed significant differences in SNP allele frequencies between the patient and control groups (P < 0.05). Of these, 4 genes including BGLAP, AHSG, CD44, and HAO1, encoding osteocalcin, fetuin-A, CD44-molecule and glycolate oxidase 1, respectively, were further assessed for their associations with the disease because they carried high proportion of SNPs with statistical differences of allele frequencies between the patient and control groups within the gene. The total of 26 SNPs showed significant differences of allele frequencies between the patient and control groups and haplotypes associated with disease risk were identified. The SNP rs759330 located 144 bp downstream of BGLAP where it is a predicted microRNA binding site at 3′UTR of PAQR6 - a gene encoding progestin and adipoQ receptor family member VI, was genotyped in 216 patients and 216 control subjects and found to have significant differences in its genotype and allele frequencies (P = 0.0007, OR 2.02 and P = 0.0001, OR 2.02, respectively).Conclusions: Our results suggest that these candidate genes are associated with KSD and PAQR6 comes into our view as the most potent candidate since associated SNP rs759330 is located in the miRNA binding site and may affect mRNA expression level. © 2014 Rungroj et al.; licensee BioMed Central Ltd.en_US
dc.identifier.citationBMC Medical Genetics. Vol.15, No.1 (2014)en_US
dc.identifier.doi10.1186/1471-2350-15-50en_US
dc.identifier.issn14712350en_US
dc.identifier.other2-s2.0-84901477863en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/33266
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901477863&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectMedicineen_US
dc.titleA whole genome SNP genotyping by DNA microarray and candidate gene association study for kidney stone diseaseen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84901477863&origin=inwarden_US

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