The fact that genetic factors contribute to the development of scoliosis has been widely accepted [2, 3]. Studies indicated that 11% of first-degree relatives are affected, as are 2.4 and 1.4% of second- and third-degree relatives, respectively [4]. Similar tendencies have been observed in monozygotic twins [5, 6]. The reports regarding the exact way by which the condition is passed on are still ambiguous. Justice et al. suggested the autosomal dominant mode of inheritance [7]. The study of Xiao-Yang et al. [8] demonstrates the abnormal expression of lncRNAs and mRNAs in AIS, and the expression of some lncRNAs was related to clinical features. The differential expression of lncRNAs is potentially valuable in the development of specific PCR markers and in providing more support on treatment and prognosis. However, this study has its limitations. First, although the different expression patterns of identified lncRNA genes suggest potential function in AIS pathogenesis, direct supporting evidence is lacking. Second, only four pairs of samples were used in microarray analysis. This may cause a loss of some important information and decrease the accuracy of biomarker selection. Third, RNA expression was tested in peripheral blood in this study [8].
Nowak et al. paid attention on transcriptional activity of TGF-β2, TGF-β3, and TGFBR2 and the expression profile of TGF-β-responsive genes. He noted that they differ in paravertebral muscle transcriptomes depending on the age of scoliosis onset and the side of the scoliotic curve. He suggested this phenomenon could signify a different involvement of TGF-β signalling in the pathogenesis of juvenile and adolescent curves. Analysis of TGF-β-responsive genes that differ in the concave and convex paravertebral muscle transcriptomes of AIS patients highlights the upregulation of genes localised in the extracellular region of the concave side of the curve (LTBP3, LTBP4, ITGB4, and ITGB5) [9]. This finding may suggest that the extracellular region of paravertebral muscles is an interesting target for future molecular research on AIS pathogenesis. Czeizel et al., on the other hand, proposed a multifactorial or polygenic mode of inheritance to explain the wide variability in the presentation of scoliosis amongst family members [10]. Progress in the mapping of the human genome and current genetic methodology now allows the screening of the entire genome of an individual. The authors cited many different chromosomal loci related to scoliosis, which have been identified in different families [11]. As a tool for the investigation of complex disease, genome-wide association studies (GWAS) were recently applied to the genetic research of AIS [12]. In 2013, Kou et al. identified G protein-coupled receptor 126 (GPR126), which can be implicated in the development of AIS [13]. The functional consequence of GPR126 was also confirmed by in vivo experiments. It was found that GPR126 knockdown zebrafish had shorter body lengths and delayed ossification of the vertebrae, as well as slower escape responses, indicating possible neurological defects [13].
Recently, Sharma et al. [12] performed transmission-disequilibrium tests in 419 AIS families, which identified associated single nucleotide polymorphisms (SNPs) in the proximity of the cell adhesion molecule with homology to the L1CAM (CHL1) gene. They genotyped additional SNPs in chromosome 3p26.3 and tested the association in two follow-up case–control cohorts. They obtained the strongest association in rs10510181 with all three cohorts combined. CHL1encodes an axon guidance protein related to Robo3, mutation of which could lead to horizontal gaze palsy with progressive scoliosis (HGPPS), a rare disease marked by severe scoliosis [14].
Despite continuous efforts, so far no single gene exclusively related to scoliosis has been found [15]. A global meta-analysis of genome-wide association study (GWAS) data should be helpful for the elucidation of genetic loci related to AIS. It seems that scoliosis is a complex genetic disorder, with one or more genes involved, which together with environmental factors can lead to spinal deformities.
There are, however, some tests which can estimate the probability of the progression of the deformity [16]. The risk of the progression score can be calculated using these saliva-based DNA markers that stratify risk for the patients on a scale of 1–200. The test cannot answer the question regarding the cause of the condition, but it allows the making of personalised medical decisions for treatment algorithms, and improves the quality of care.