bioRxiv Science⌕ Search

Biology subjects

Undiagnosed Disease Network,

Publications and source records attributed to Undiagnosed Disease Network,.

2 recordsLinked to original sources

A New Disease Gene for Hypokalemic Periodic Paralysis, KCNA7, Established in a Multigenerational Family

Hypokalemic periodic paralysis (HypoPP) is an inherited skeletal muscle ion channelopathy of CACNA1S or SCN4A characterized by recurrent episodes of weakness, often triggered by rest after exercise or by reduced K+ (carbohydrate ingestion, stress). Here, we describe a multigenerational family in whom a KCNA7 missense variant [c.834A>C (p.Arg278Ser)] co-segregated with susceptibility to recurrent attacks of weakness in association with hypokalemia as low as 1.3 mEq/L and a 40% decrement of the compound muscle action potential after exercise, suggesting an additional HypoPP gene. Arg278 is the outermost positively charged residue (R1) within the S4 transmembrane segment of the voltage-sensor domain of KV1.7, orthologous to the canonical patten of arginine missense mutations at R1 or R2 in S4 segments for HypoPP-mutant CaV1.1 and NaV1.4 channels. To determine the functional consequences of Arg278Ser, we expressed wild-type and mutant KV1.7 channels in Xenopus oocytes and HEK293 cells. Arg278Ser, but not wild-type KV1.7, generated an anomalous inwardly rectifying current at hyperpolarized membrane potentials that was nonselective Na+ or K+, consistent with the anomalous gating pore conductance that causes susceptibility to HypoPP. Other pathogenic variants of KCNA7 have previously been implicated only in inherited cardiac arrhythmias. Collectively, the genetic, structural and electrophysiological findings support KCNA7 Arg278Ser as a pathogenic variant underlying HypoPP and implicate KCNA7 as a disease gene for periodic paralysis, extending the established gating-pore mechanism of HypoPP to KV1.7.

genetics↗

WebSeq: A Genomic Data Analytics Platform for Monogenic Disease Discovery

Whole exome sequencing (WES) is commonly used to study monogenic diseases. The application of this sequencing technology has gained in popularity amongst clinicians and researchers as WES pricing has declined. The accumulation of WES data creates a need for a robust, flexible, scalable and easy-to-use analytics platform to allow researchers to gain biological insight from this genomic data. We present WebSeq, a self-contained server and web interface to facilitate intuitive analysis of WES data. WebSeq provides access to sophisticated tools and pipelines through a user-friendly and modern web interface. WebSeq has modules that support i) FASTQ to VCF conversion, ii) VCF to ANNOVAR1 CSV conversion, iii) family-based analyses for Mendelian disease gene discovery, iv) cohort-wide gene enrichment analyses, (v) an automated IGV2 browser, and (vi) a virtual gene panel analysis module. WebSeq Pro, our expanded pipeline, also supports SNP genotype analyses such as ancestry inference and kinship testing. WebSeq Lite, our minimal pipeline, supports family-based analyses, cohort-wide gene enrichment analyses, and a virtual gene panel along with the IGV2 browser module. We anticipate that the rigorous use of our web application will allow researchers to expedite discoveries from human genomic data3. WebSeq Lite, WebSeq, and WebSeq Pro are fully containerized using Docker4, run on all major operating systems, and are freely available for personal, academic, and non-profit use at http://bitly.ws/g6cn

bioinformatics↗