TOP3B: A Novel Candidate Gene in Juvenile Myoclonic Epilepsy?

Juvenile myoclonic epilepsy (JME) is characterized by seizures, severe cognitive abnormalities, and behavior impairments. These features could evolve over time and get worse, especially when the encephalopathy is pharmacoresistant. Thus, genetic studies should provide a better understanding of infantile epilepsy syndromes. Herein, we investigate the genetics of JME in a consanguineous family analyzing the copy number variations detected using over 700 K SNP arrays. We identified a 254-kb deletion in the 22q11.2 region, including only the TOP3B gene, detected in the patient and her father. TOP3B encodes a topoisomerase DNA (III) β protein and has been implicated in several neurological diseases such as schizophrenia and autism. In this study, we discuss the implication of the 22q11.2 region in neurodevelopmental disorders and the association of TOP3B with epilepsy.

Estimating the Total Pathogenic Allele Frequency of Autosomal Recessive Disorders in Case of Consanguinity

OBJECTIVE

Estimating the total allele frequency of all pathogenic alleles of an autosomal recessive disease is not possible if only mutational data of a sample of affected individuals are available. However, if the affected individuals come from a population where consanguinity is not uncommon, this total allele frequency can be estimated by additionally using the positive individual inbreeding coefficients or an estimate of the population inbreeding coefficient. In this paper, we propose two estimators.

METHODS/RESULTS

We propose to estimate the total allele frequency by a conditional maximum likelihood estimator if a part of the affected individuals in the sample comes from consanguineous marriages with known inbreeding coefficients. A simulation study shows that this estimator is unbiased and robust. We propose a second estimator which is based on an estimate of the population inbreeding coefficient. The method is applied to mutational data and individual inbreeding coefficients of Tunisian patients with congenital adrenal hyperplasia.

CONCLUSION

Additionally using individual inbreeding coefficients or an estimate of the population inbreeding coefficient makes it possible to estimate the total allele frequency. Since consanguinity is commonly practiced in many parts of the world, the estimators proposed in the paper are of practical importance.

Determining the genome-wide kinship coefficient seems unhelpful in distinguishing consanguineous couples with a high versus low risk for adverse reproductive outcome

Background

Offspring of consanguineous couples are at increased risk of congenital disorders. The risk increases as parents are more closely related. Individuals that have the same degree of relatedness according to their pedigree, show variable genomic kinship coefficients. To investigate whether we can differentiate between couples with high- and low risk for offspring with congenital disorders, we have compared the genomic kinship coefficient of consanguineous parents with a child affected with an autosomal recessive disorder with that of consanguineous parents with only healthy children, corrected for the degree of pedigree relatedness.

Methods

151 consanguineous couples (73 cases and 78 controls) from 10 different ethnic backgrounds were genotyped on the Affymetrix platform and passed quality control checks. After pruning SNPs in linkage disequilibrium, 57,358 SNPs remained. Kinship coefficients were calculated using three different toolsets: PLINK, King and IBDelphi, yielding five different estimates (IBDelphi, PLINK (all), PLINK (by population), King robust (all) and King homo (by population)). We performed a one-sided Mann Whitney test to investigate whether the median relative difference regarding observed and expected kinship coefficients is bigger for cases than for controls. Furthermore, we fitted a mixed effects linear model to correct for a possible population effect.

Results

Although the estimated degrees of genomic relatedness with the different toolsets show substantial variability, correlation measures between the different estimators demonstrated moderate to strong correlations. Controls have higher point estimates for genomic kinship coefficients. The one-sided Mann Whitney test did not show any evidence for a higher median relative difference for cases compared to controls. Neither did the regression analysis exhibit a positive association between case–control status and genomic kinship coefficient.

Conclusions

In this case–control setting, in which we compared consanguineous couples corrected for degree of pedigree relatedness, a higher degree of genomic relatedness was not significantly associated with a higher likelihood of having an affected child. Further translational research should focus on which parts of the genome and which pathogenic mutations couples are sharing. Looking at relatedness coefficients by determining genome-wide SNPs does not seem to be an effective measure for prospective risk assessment in consanguineous parents.

Electronic supplementary material

The online version of this article (doi:10.1186/s12881-015-0191-0) contains supplementary material, which is available to authorized users.