Dataset Information

Single Nucleotide Polymorphisms in the BDNF, VDR, and DNASE 1 Genes in Dry Eye Disease Patients: A Case-Control Study.

ABSTRACT: To identify single nucleotide polymorphisms (SNPs) in the brain-derived neurotrophic factor (BDNF), vitamin D receptor (VDR), and DNASE1 genes that may be associated with dry eye disease (DED), and determine whether this association varies by the presence of depression.A case-control study was performed with 64 DED cases and 51 controls. We collected 2 mL of saliva following a routine eye exam. Genotyping was performed using both custom and predesigned TaqMan SNP genotyping assays for 12 hypothesized SNPs. Genotype and allele frequencies of cases and controls were evaluated. Odds ratios were calculated for allele frequencies. Stratified analysis was performed to determine if the association between SNPs and DED varied by depression status.A total of 18% of cases had the minor allele A of Val66Met (rs6265) SNP in the BDNF gene compared with 9% of the controls (P = 0.05). Odds ratio was 2.22. Two SNPs (Fokl-rs2228570 and Apal-rs7975232) in the VDR genes also varied between DED cases and controls. Cases were 1.72 and 1.66 times more likely to have the minor allele A in rs2228570 and rs7975232, respectively, than controls (P = 0.06 for both). While not statistically significant, among patients with depression, DED cases were 3.93 times more likely to have the minor allele A of the Val66Met SNP compared to controls.This pilot study showed that Val66Met in the BDNF gene and two SNPs, Fokl and Apal, in the VDR gene may potentially be associated with DED. Additionally, the association between DED and Val66Met may vary by depression status.

SUBMITTER: Hallak JA

PROVIDER: S-EPMC5102496 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Single Nucleotide Polymorphisms in the BDNF, VDR, and DNASE 1 Genes in Dry Eye Disease Patients: A Case-Control Study.

Hallak Joelle A JA Tibrewal Sapna S Mohindra Neil N Gao Xiaoyi X Jain Sandeep S

Investigative ophthalmology & visual science 20150901 10

<h4>Purpose</h4>To identify single nucleotide polymorphisms (SNPs) in the brain-derived neurotrophic factor (BDNF), vitamin D receptor (VDR), and DNASE1 genes that may be associated with dry eye disease (DED), and determine whether this association varies by the presence of depression.<h4>Methods</h4>A case-control study was performed with 64 DED cases and 51 controls. We collected 2 mL of saliva following a routine eye exam. Genotyping was performed using both custom and predesigned TaqMan SNP ...[more]

PMID: 26393465

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Project description:Background:DNA prediction of eye color represent one application of the externally visible characteristics (EVC), which attained growing interest in the field of DNA forensic phenotyping. This is mainly due to its ability to narrow the pool of suspects without the need to compare any retrieved DNA material from the crime scene to a reference DNA. Several methods and multiplex genetic panel were proposed with variable prediction accuracy between different populations. However, such panel was not previously tested in the Saudi population, nor any populations of the Middle East and North Africa origin. Method:A panel of eleven single nucleotide polymorphisms (SNPs) was tested for their association with three eye colors (brown, hazel, and intermediate) in 80 volunteer Saudi individuals. SNPs and haplotype association test with eye colors were performed to identify the top significant SNPs with the three eye colors. Also, multinomial logistic regression was used to construct the prediction model using a training set of 60 subjects, and a validation set of 20 subjects. The goodness of fit parameter of the model to correctly predicts each eye color as compared to the other was performed. Results:Eye color was significantly associated with rs12913832, rs7170852, and rs916977 that are located within HERC2. SNP rs12913832 was the top significant SNP (p-value?=?1.78E-15) that accounted for the association in this region, as the other SNPs were not significant after adjusting for rs12913832. A prediction model containing five SNPs showed high prediction accuracy with Area Under the receiver operating characteristic Curves (AUC) equals to 0.95 and 0.83 for brown and intermediate eye colors, respectively. However, the model's performance was very low for predicting the hazel eye color with AUC equals 0.75. Discussion:Despite the small sample size of our study, we reported very significant SNP associations with eye color. Our model to predict eye colors based on DNA material showed high accuracy for brown and intermediate eye colors. The eye color prediction-model underperformed for the hazel eye colors, suggesting that larger sample size, as well as more comprehensive set of SNPs, could improve the model-prediction accuracy.

Project description:In this report, we describe a case control study in a Chinese population aimed at identifying possible associations between susceptibility to cervical cancer and single nucleotide polymorphisms in XRCC1 194C>T, XRCC1 280G>A, XRCC1 399G>A, ERCC2 751A>C, ERCC2 156C>A, ERCC1 118C>T, PARP1 762T>C, RAD51 135G>C and HER2 655A>G. The cases comprised 154 patients: 80 cervical squamous cell carcinomas (SCCs), 2 adenocarcinomas and 72 cervical intraepithelial neoplasias (CINs). A total of 177 healthy women were recruited as the controls. A significant association was found between ERCC1 118C>T and SCC in the additive genetic model [odds ratio (OR)=1.711; 95% confidence interval (CI), 1.089-2.880; p=0.021] and the dominant genetic model (OR=1.947; 95% CI, 1.056-3.590; p=0.033). Among women with a smoking family member, ERCC1 118C>T increased SCC risk in the additive model (OR=2.800; 95% CI, 1.314-5.968; p=0.008). For women who had first intercourse before 22 years of age, XRCC1 280G>A was found to act as a protective factor for SCC under the additive model (OR=0.228; 95% CI, 0.058-0.900; p=0.035), while RAD51 135G>C was a risk factor for CIN (OR=4.246; 95% CI, 1.335-13.502; p=0.014). For women who had first intercourse after 22 years of age, the additive genetic model showed RAD51 135G>C (OR=0.359; 95% CI, 0.138-0.934; p=0.036) and HER2 655A>G (OR=0.309; 95% CI, 0.098-0.972; p=0.045) to be protective factors for SCC. XRCC1 399G>A increased CIN risk among women who first gave birth before the age of 22 in the additive genetic model (OR=4.459; 95% CI, 1.139-17.453; p=0.032). For those who first gave birth after age 22, ERCC1 118C>T was found to be a risk factor for SCC in the additive genetic model (OR=1.884; 95% CI, 1.088-3.264; p=0.024). A significant interaction was observed between RAD51 135G>C and age at first intercourse (p(interaction)=0.033 for SCC, p(interaction)=0.021 for CIN), as well with sexual partner number (p(interaction)=0.001 for SCC). The interaction between HER2 655A>G and age at first intercourse, ERCC2 156C>A and family smoking status and XRCC1 280G>A and alcohol consumption were significant, with p(interaction)=0.023 for SCC, p(interaction)=0.021 for CIN and p(interaction)=0.025 for SCC, respectively.

Dataset Information

Single Nucleotide Polymorphisms in the BDNF, VDR, and DNASE 1 Genes in Dry Eye Disease Patients: A Case-Control Study.

Publications

Single Nucleotide Polymorphisms in the BDNF, VDR, and DNASE 1 Genes in Dry Eye Disease Patients: A Case-Control Study.

Similar Datasets

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