Whole genome and exome sequencing realignment supports the assignment of KCNJ12, KCNJ17, and KCNJ18 paralogous genes in thyrotoxic periodic paralysis locus: functional characterization of two polymorphic Kir2.6 isoforms.

Abstract

Next-generation sequencing (NGS) has enriched the understanding of the human genome. However, homologous or repetitive sequences shared among genes frequently produce dubious alignments and can puzzle NGS mutation analysis, especially for paralogous potassium channels. Potassium inward rectifier (Kir) channels are important to establish the resting membrane potential and regulating the muscle excitability. Mutations in Kir channels cause disorders affecting the heart and skeletal muscle, such as arrhythmia and periodic paralysis. Recently, a susceptibility muscle channelopathy-thyrotoxic periodic paralysis (TPP)-has been related to Kir2.6 channel (KCNJ18 gene). Due to their high nucleotide sequence homology, variants found in the potassium channels Kir2.6 and Kir2.5 have been mistakenly attributable to Kir2.2 polymorphisms or mutations. We aimed at elucidating nucleotide misalignments by performing realignment of whole exome sequencing (WES) and whole genome sequencing (WGS) reads to specific Kir2.2, Kir2.5, and Kir2.6 cDNA sequences using BWA-MEM/GATK pipeline. WES/WGS reads correctly aligned 26.9/43.2, 37.6/31.0, and 35.4/25.8% to Kir2.2, Kir2.5, and Kir2.6, respectively. Realignment was able to reduce over 94% of misalignments. No putative mutations of Kir2.6 were identified for the three TPP patients included in the cohort of 36 healthy controls using either WESorWGS. We also distinguished sequences for a single Kir2.2, a single Kir2.5 sequence, and two Kir2.6 isoforms, which haplotypes were named RRAI and QHEV, based on changes at 39, 40, 56, and 249 residues. Electrophysiology records on both Kir2.6_RRAI and _QHEV showed typical rectifying currents. In our study, the reduction of misalignments allowed the elucidation of paralogous gene sequences and two distinct Kir2.6 haplotypes, and pointed the need for checking the frequency of these polymorphisms in other populations with different genetic background.