How should we be searching for genes for common epilepsy? A critique and a prescription

Association of the carriage of BRD2 rs206787 and rs516535 and GJD2 rs3743123 polymorphisms with juvenile myoclonic epilepsy in Caucasian patients of Siberia

In recent years, the genetics of juvenile myoclonic epilepsy (JME) has been actively studied; the association of JME with the carriage of polymorphic allelic variants of the BRD2 (EJM3 locus) and GJD2 (EJM2 locus) genes has been established. Objective: to establish risk factors for JME in terms of a genetic predisposition; specifically, polymorphic allelic variants rs206787 and rs516535 in the BRD2 gene and rs3743123 in the GJD2 gene. Patients and methods: Examinations were made in 79 patients with JME and in 150 healthy volunteers, who were Caucasian and resided in the Siberian Federal District (SFD) and underwent determination of the carriage of single nucleotide polymorphisms (SNPs) rs206787 and rs516535 in the BRD2 gene and rs3743123 in the GJD2 gene by real-time polymerase chain reaction. Results and discussion. In 2003, American scientists from New York showed that the alleles associated with the development of JME with an autosomal recessive inheritance pattern might be located in the BRD2 gene. Patients with JME are assumed to have an autosomal dominant inheritance pattern of mutations in the BRD2 gene. British scientists revealed that different populations were found to have an association of SNP rs3918149 and no relationship of BRD2 rs206787 to the development of JME in Caucasians, as well as ascertained local linkage disequilibrium in the BRD2 gene. Our investigation has established complete linkage disequilibrium between the loci in patients with JME and in healthy individuals and no association of the carriage of SNPs rs206787 and rs516535 in the BRD2 gene with the development of JME in the patients residing in the SFD (p >0.05). German scientists studied the impact of SNP in the BRD2 gene on a predisposition to a photoparoxysmal response in patients with JME/genetic generalized epilepsy. Our investigation has indicated the association of the carriage of TT/TT haplotype for SNP rs206787 and rs516535 in the BRD2 gene with a photoparoxysmal response in patients with JME (odds ratio (OR), 3.6; 95% confidence interval (CI), 1.37–9.48; p=0.02). We have confirmed that in the studied sample, the carriage of the T allele in the GJD2 gene (rs3743123) in the homozygous form is associated with the development of JME in Caucasian patients residing in the SFD and is a risk factor for JME (OR, 2.66; 95% CI, 1.24–5.74; p=0.04). The clinically significant association of this SNP in the GJD2 gene with the development of JME had been also previously demonstrated in two independent studies conducted in the European populations in the UK and Germany. There is a rise in the proportion of homozygotes in JME patients versus the control group, suggesting that the 588T allele under consideration increases the risk for JME in the homozygous state in the autosomal recessive inheritance pattern. Conclusion. The findings suggest that it is necessary to genotype Caucasian patients with JME, who reside in Siberia, for determination of the carriage of the TT/TT haplotype in terms of the investigated SNPs in the BRD2 gene (EJM 3 locus) and the carriage the T allele (rs3743123) in the GJD2 gene via a personalized approach to predicting the course of JME, as well as for identification of persons at risk for JME in the families having a history of this disease.

DNA methylation of the BRD2 promoter is associated with juvenile myoclonic epilepsy in Caucasians

OBJECTIVE

Juvenile myoclonic epilepsy (JME) is a common adolescent-onset genetic generalized epilepsy (GGE) syndrome. Multiple linkage and association studies have found that BRD2 influences the expression of JME. The BRD2-JME connection is further corroborated by our murine model; Brd2 haploinsufficiency produces characteristics that typify the clinical hallmarks of JME. Neither we, nor several large-scale studies of JME, found JME-related BRD2 coding mutations. Therefore, we investigated noncoding BRD2 regions, seeking the origin of BRD2's JME influence. BRD2's promoter harbors a JME-associated single nucleotide polymorphism (rs3918149) and a CpG (C-phosphate-G dinucleotides) island (CpG76), making it a potential "hotspot" for JME-associated epigenetic variants. Methylating promoter CpG sites causes gene silencing, often resulting in reduced gene expression. We tested for differences in DNA methylation at CpG76 in 3 different subgroups: (1) JME patients versus their unaffected family members, (2) JME versus patients with other forms of GGE, and (3) Caucasian versus non-Caucasian JME patients.

METHODS

We used DNA pyrosequencing to analyze the methylation status of 10 BRD2 promoter CpG sites in lymphoblastoid cells from JME patients of Caucasian and non-Caucasian origin, unaffected family members, and also non-JME GGE patients. We also measured global methylation levels and DNA methyl transferase 1 (DNMT1) transcript expression in JME families by standard methods.

RESULTS

CpG76 is highly methylated in JME patients compared to unaffected family members. In families with non-JME GGE, we found no relationship between promoter methylation and epilepsy. In non-Caucasian JME families, promoter methylation was mostly not associated with epilepsy. This makes the BRD2 promoter a JME-specific, ethnicity-specific, differentially methylated region. Global methylation was constant across groups.

SIGNIFICANCE

BRD2 promoter methylation in JME, and the lack of methylation in unaffected relatives, in non-JME GGE patients, and in non-Caucasian JME, demonstrate that methylation specificity is a possible seizure susceptibility motif in JME risk and suggests JME therapeutics targeting BRD2.

The Rise and Fall and Rise of Linkage Analysis as a Technique for Finding and Characterizing Inherited Influences on Disease Expression

For many years, family-based studies using linkage analysis represented the primary approach for identifying disease genes. This strategy is responsible for the identification of the greatest number of genes proven to cause human disease. However, technical advancements in next generation sequencing and high throughput genotyping, coupled with the apparent simplicity of association testing, led to the rejection of family-based studies and of linkage analysis. At present, genetic association methods, using case-control comparisons, have become the exclusive approach for detecting disease-related genes, particularly those underlying common, complex diseases. In this chapter, we present a historical overview of linkage analysis, including a description of how the approach works, as well as its strengths and weaknesses. We discuss how the transition from family-based studies to population comparison association studies led to a critical loss of information with respect to genetic etiology and inheritance, and we present historical and contemporary examples of linkage analysis "success stories" in identifying genes contributing to the development of human disease. Currently, linkage analysis is re-emerging as a useful approach for identifying disease genes, determining genetic parameters, and resolving genetic heterogeneity. We posit that the combination of linkage analysis, association testing, and high throughput sequencing provides a powerful approach for identifying disease-causing genes.

Linkage Analysis of Genomic Regions Contributing to the Expression of Type 1 Diabetes Microvascular Complications and Interaction with HLA

We conducted linkage analysis to follow up earlier work on microvascular complications of type 1 diabetes (T1D). We analyzed 415 families (2,008 individuals) previously genotyped for 402 SNP markers spanning chromosome 6. We did linkage analysis for the phenotypes of retinopathy and nephropathy. For retinopathy, two linkage peaks were mapped: one located at the HLA region and another novel locus telomeric to HLA. For nephropathy, a linkage peak centromeric to HLA was mapped, but the linkage peak telomeric to HLA seen in retinopathy was absent. Because of the strong association of T1D with DRB1*03:01 and DRB1*04:01, we stratified our analyses based on families whose probands were positive for DRB1*03:01 or DRB1*04:01. When analyzing the DRB1*03:01-positive retinopathy families, in addition to the novel telomeric locus, one centromeric to HLA was identified at the same location as the nephropathy peak. When we stratified on DRB1*04:01-positive families, the HLA telomeric peak strengthened but the centromeric peak disappeared. Our findings showed that HLA and non-HLA loci on chromosome 6 are involved in T1D complications' expression. While the HLA region is a major contributor to the expression of T1D, our results suggest an interaction between specific HLA alleles and other loci that influence complications' expression.