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Basic Concepts in Genetics and
Intervertebral Disc Degeneration
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8
CHAPTER

Introduction to Genetics

Genetics has a growing role in the eld of clinical medicine. Genes are the fundamental make-up of any organism; thus, understanding what genes and environmental factors contrib­ute to certain disease traits/phenotypes are of interest. By identifying the mutations in the genes that lead to disease, focused management such as early detection, targeted thera­pies, or even disease prevention can be developed.
With genome sequencing and public access to the elec­tronically compiled genome data, the Human Genome Project allows scientists to identify genes of interest at particular locations in the genome. is can allow researchers to use a certain DNA sequence of a particular gene as an initial refer­ence sequence to carry out mutation screening and permit rapid identication of genetic markers within or adjacent to genes of interest. is database of DNA reference sequences can also help design primers that bind to a certain sequence of the genome. e available data allow studies regarding expression patterns in dierent tissues and sequence varia­tions between subjects such as single nucleotide polymor­phisms (SNPs).
Many genetic disorders have already been identied and stored in the Online Mendelian Inheritance in Man (OMIM) database. e pattern of how genetic information is passed through subsequent generations is based on the Mendelian laws of inheritance. Using modern technology, potential genetic variants that predispose to disease can be determined. For spine surgeons, disc degeneration and scoliosis are two of the most sought aer conditions in terms of genetic back­ground. Both conditions are likely inuenced by multiple genes and various environmental factors. is chapter aims to provide clinicians with a basic concept of genetics with regard to the terminology and principles, with a specic focus on disc degeneration and scoliosis. Readers may be able to equip themselves with a general understanding and thereby the ability to follow novel literature regarding advances in genetics.
Chromosomes and DNA
Before discussing genetics and how to determine genetic varia­tions, concepts of chromosomes, DNA, and polymorphisms
and Scoliosis
Jason Pui Yin Cheung
Kenneth M.C. Cheung
need to be understood. Any single human genome is comprised of 22 pairs of homologous chromosomes with an additional pair of sex chromosomes inherited from parents. A full set of chromosomes is also known as diploid and a half set is known as haploid. Chromosomes are made up of DNA, which is a nucleic acid that carries genetic material. DNA contains a super-phosphate with nitrogenous bases. e nitrogenous bases include base pairs of adenine (A) and guanine (G)— purines—and cytosine (C) and thymine (T)—pyrimidines. Each molecule of DNA is comprised of two nucleotide chains that are coiled in a clockwise fashion to form the double helix. ese chains have two ends, called the 5 and 3 ends, and the two nucleotide chains run in opposite directions, either from 5 to 3 or from 3 to 5. Base pairings in these chains are obligatory A:T and G:C.
e main function of these nucleic acids is coding protein synthesis. e basic architecture of proteins is comprised of amino acids, and the order of sequence in which amino acids are encoded judge the way the resulting protein is formed and functions. ese proteins are encoded by DNA, and therefore by its gene. DNA is double stranded, whereas ribonucleic acid (RNA) is single stranded. In addition to this dierence, uracil (U) replaces T in RNA sequences. Exons are sequences of DNA that contain coding information, whereas introns are noncoding sequences. DNA is used as a template to create RNA in a process known as transcription. As any set of three base pairs form the codes for an amino acid, the transcribed messenger RNA (mRNA) encodes the information for a certain protein with a specic amino acid sequence that is imprinted by a certain gene. rough the transcription process, the DNA strands separate and act as the template for the enzyme RNA polymerase II to synthesize nucleotides in the opposite direction of the DNA template (5 to 3 matched to 3 to 5). is process will include all introns and exons. Despite being a noncoding region, introns have regulatory functions during transcription. Introns are eventually removed aer splicing; the remaining exons form mature mRNA.
e next stage in protein synthesis is known as transla­tion, which occurs in the cell cytoplasm. e mRNA attaches to a ribosome; each ribosome moves along the mRNA to form a matching transfer RNA (tRNA), which will contribute its specic amino acid to a growing protein chain until it reaches a stop codon. Proteins are important for normal
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134 BASIC SCIENCE
bodily functions, as they regulate dierent mechanisms both intracellularly and extracellularly.
Genetic Variations
Despite having pairs of chromosomes, there are variations in sequencing that distinguish between chromosomes. Variants on the same location of paired chromosomes are known as alleles. ey may be homozygous, meaning the same, or het-
erozygous, meaning dierent. Small variations can exist in individual nucleotides. Larger variations include microsatel­lites, deletions, insertions, and copy number variations (CNVs). All variations can cause signicant alteration of the protein structure, thus gene expression and possibly disease manifestation. However, these genetic variants can be manipu­lated into a genetic marker for identifying their location on the DNA sequence. ese markers are important for studying the causative relationship between a genetic variant and an inherited disease.
SNPs are particularly of interest, as they are commonly used for genetic analysis. ey are also commonly found throughout the genome, comprising up to 90% of the genetic variants. ey are 1-base pair (bp) substitutions of DNA sequences that can occur anywhere in the genome. On average, a SNP may be observed in every set of 300 nucleotides; thus, there are approximately 10 million SNPs found in the entire human genome.
Microsatellites or variable number of tandem repeats refer to repeating short nucleotide sequences. Due to the variable number of repeats in dierent chromosomes, it is a useful marker for identifying dierent people. Deletion or insertion of one or more base changes may lead to signicant changes in DNA sequences, thus causing missing or extra amino acids in any protein chain. A complete change in protein sequence may result from more than 3 bp of sequence addition or loss. ese usually cause serious genetic diseases. CNV refers to large structural variations in DNA sequences. e “copy number” refers to the number of duplications that occur. CNV involves duplications of large segments of a certain chromo­some that alters one or more genes. Inversions may also occur as a result of reversal in a segment of chromosome, which may cause complex genetic diseases.
Mutations and Polymorphisms
Mutations result from permanent damages to DNA or replica­tion errors. e eects are variable: from fatal to only mildly detrimental. If fatal, these mutations will not be inherited, thus are very rarely found in the population. For mild cases, individuals are likely to reproduce and encourage the muta­tion to be inherited, leading to an increase in prevalence in the general population. Rare variants are more commonly researched, as they are more likely to have positive ndings in genetic research and usually are associated with more clinically relevant diseases. ey are dened as variants with a minor allele frequency (MAF) of less than 1%. Polymorphisms are dened as MAF greater than 1%; among these, MAF greater than 5% are common variants and those from 1% to 5% are
low-frequency variants. Polymorphisms rarely cause signi­cant external eects despite changes in the gene sequence.
Terminology and Types of Disease
Genotype is the denition of the status of two alleles or actual denotation of the genetic data. In contrast, phenotype is the observable expression of the subjects’ traits. Dierences in genotypes contributed by polymorphisms lead to phenotypi­cal variations between individuals. Expression can exist at the molecular level in the form of protein expression or can be more clinically notable, such as height dierences and symp­toms. As the clinical expression of the disease relies heavily on the genotype, being able to phenotype a disease carefully is very important for any genetic analysis. Not all genotypical dierences may manifest clinically, however, as this relies on penetrance. Incomplete penetrance may not result in disease, as the genotype is not fully expressed clinically. ese cases are considered to be complex genetic disorders in which envi­ronmental factors must interact with the susceptibility genes before developing disease. Many orthopedic conditions—such as osteoarthritis, disc degeneration, and even scoliosis—are types of complex genetic disorders. is is in contrast to Men­delian diseases, which are simpler but rarer forms of disease caused by single gene mutations.
1,2
Usually, these are severe diseases, such as osteogenesis imperfecta. Mendelian diseases are usually predictable in inheritance patterns.
For complex disorders, meticulous qualitative and quantita­tive phenotyping is important to classify disease severity.3 For example, in disc degeneration, most phenotyping relies on magnetic resonance imaging (MRI) which is used to assess the disc’s hydration status, any bulging discs or herniation, and Schmorl’s nodes or endplate irregularities. Qualitatively, whether there is disc degeneration is evaluated. However, quantitative evaluation is more important in these complex disorders, as the phenotype may alter in severity and over time, such as with the degenerative process. On the MRI, Schneiderman’s and Prrmann’s grading describe the signal intensity of the nucleus pulposus on T2-weighted MRI. Schneiderman’s grading describes the signal intensity of the nucleus pulposus by four grades (grade 0 indicating a normal disc and grade 3 indicating hypointensity with disc space narrowing).4 Prrmann’s classica­tion evaluates the homogeneity of disc structure, signal intensity, distinction of nucleus pulposus and anulus brosus, and disc height by ve grades (grade 0 indicating a homogeneous disc structure, hyperintense signal, and normal disc height with grade 5 indicating inhomogeneous disc structure, hypointense signal, loss of distinction between nucleus pulposus and anulus brosus, and collapsed disc space).
5
Gene Mapping
Gene mapping must be performed prior to claiming that a disease is caused by a certain gene. Accurate mapping helps us understand the etiology and pathogenesis, and identies genes that may be manipulated into targeted therapies. e method for gene mapping works dierently for Mendelian versus complex diseases. In Mendelian diseases, due to the
Chapter 8 Basic Concepts in Genetics and Intervertebral Disc Degeneration and Scoliosis 135
rarity of the contributing gene variations, most are identied by studying aected families. Family genetics allow visualiza­tion of the mode of inheritance, and can help locate the position of the genetic variant. Although there are limitations in this analysis because family members are exposed to similar environmental factors and may mask some real genetic factors, examining monozygotic (identical) twins may help analysis for purely genetic disorders since they should both have disease. However, if both monozygotic and dizygotic (non­identical) twins both have similar disease rate (concordance rate), then it is likely that shared environmental factors are the major factor instead. In complex genetic diseases, there is contribution from multiple genes; with their complex interac­tions with the environment, special mapping designs are required. For family-based designs, linkage analysis will be used. For population-based designs, association analysis or biologically relevant candidate gene analysis are used.
Linkage Analysis
Preferably, linkage analysis has the greatest yield with large families and multiple aected members. Genotyping for microsatellite markers is performed to locate disease genes that are nearby (Fig. 8.1). e premise of linkage analysis is that recombination is less likely to occur between the disease gene and the designated genetic marker since their positions are nearby, allowing “linkage” of the disease gene with the marker. In other words, aected members of the same family are likely to pass on this region of the genome with the disease gene. If sucient microsatellite markers are available to cover the whole genome, linkage analysis can help locate the dis­eased gene even if it is unknown at the outset. However, this is dependent on the distance between the disease gene and marker. With a large distance, it is likely that recombination may have occurred in between. us, the rate of recombina­tion can help calculate the distance between the diseased gene and marker used. In general, a 1% recombination rate (θ) is represented as 1 centimorgan (cM) apart or approximately 1 million bp distance.
One of the main tests used is the parametric linkage analy-
sis, in which the test hypothesis (true linkage of the diseased
6,7
gene to the marker) is tested against the null hypothesis (no linkage). Sequential recombination rates are performed to compare the likelihood of either hypothesis. is is known as
likelihood ratio or odds. Using a logarithm to base 10 of this ratio, the logarithm of odds (LOD) score can be calculated. e highest LOD score represents the likely distance between the disease gene and marker.8 LOD is an important parameter to decide whether a nding is signicant or not; a score of 3.3 is required to achieve genome-wide signicance.9 is LOD score can be strengthened by combining results from dierent studies with the same disease model.
With linkage analysis, prior knowledge of the position of the disease gene is unnecessary since it can be determined by linkage with microsatellite markers. us, it is most useful in diseases in which only a small number of genes are involved. e main limitation is its inability to detect common alleles without a strong inuence on the disease. erefore, in common conditions with multiple gene and environmental contributions, such as disc degeneration, association studies are preferred.
Association Studies
Population-based gene association studies aim to identify alleles associated with a single trait across the population. Although it is similar to linkage analysis, in that it identies a disease gene in subjects with a common ancestry (population based instead of family based), it assumes that the “linkage” distance between the marker and disease gene of interest is extremely close so that recombination over generations would not aect its position. us, positive association represents that a particular disease gene is overexpressed in diseased individuals as well as underexpressed in normal subjects.
Association studies can be classied as either direct or indirect.10 Direct association studies target the variants that have functional eects, which leads to disease. Although suc­cessful identication of a predisposing allele shows powerful association, the chance of positive identication is low. In indirect association studies, the association between the marker and disease gene is targeted. is association relies on the concept of linkage disequilibrium (LD), that is, because
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Disease-causing variant(s)
Can be SNP4
SNP4
chr22 (q11.21) q11.21 q12.1 12.2 22q12.3 22q13.31q13.1 q13.222p13 22p12 p11.2
Or adjacent
FIG. 8.1 SNP4 is the disease-causing variant. In linkage analysis, markers nearby (or adjacent in this gure) to
the disease variant can be easily picked up, as recombination is unlikely to have occurred in between.
136 BASIC SCIENCE
B
A
markers are near the disease gene, they are associated and thus lead to higher frequency of disease than expected. Identifying this marker will suggest that a disease-causing variant is nearby, helping to narrow down the search for the disease gene.
Association studies can be conducted via a candidate-gene or genome-wide association type of approach. Candidate-gene approaches utilize possible disease genes that are previously identied or are in relation to the disease pathway and directly screen the individuals for these disease genes using markers, which are usually selected SNPs. Genome-wide association studies (Fig. 8.2) adopt a similar principle as candidate-gene studies, but, rather than testing for possible single genes, a
SNP mapping of the entire genome is performed. All possible SNPs are tested for association with the disease by comparing the frequencies of occurrence between cases and controls. Conventionally, the threshold for genomewide signicance
is 5 × 10−8. Technological advancements with the addition of DNA genechips allow for this scale of study.11 e cost and time spent to perform these studies are now much more reasonable.
Newer Technologies
With the advancement in sequencing technologies,12 whole human genome or whole exon (1%–2% of the human genome)
FIG. 8.2 (A) Genome-wide association studies pick up all single nucleotide polymorphisms (SNPs) between
cases and controls. (B) Manhattan plots are used to dene which SNPs are signicant by logarithm to base 10 of the observed P value.
Chapter 8 Basic Concepts in Genetics and Intervertebral Disc Degeneration and Scoliosis 137
sequencing is becoming more aordable and feasible. is allows assessing of all DNA variations in the genome, such as CNVs instead of only SNPs or microsatellites. Exome sequencing is used for sequencing the protein-coding genes in a genome. us, only the DNA that encodes for proteins is sequenced. is technique is a simpler approach to rare variants. Since diseases are caused by these rare variants, targeting the protein coding sequence usually has a high yield for identifying the causative variants. Because of this, an understanding of the clinical implication of the disease and the protein sequence that is defective is required. is is in contrast to whole-genome sequencing, which determines the entire DNA sequence of an individual’s genome. More than 95% of the genome is thus genotyped, allowing information on the individual’s genetic susceptibility to diseases to be generated. Despite its wide coverage and reduced cost with technological advancements, it is still comparably the most expensive sequencing technique.
Interpretation of Results
Using association studies, possible signicant results may be generated in the form of direct or indirect association or false­positive results. Direct association indicates that the genotyped polymorphisms are the true causal genetic variant leading to disease. Indirect association indicates that the polymorphisms are in LD with the true variant. A false-positive result is usually due to population stratication, suggesting that dierences in allele frequency exist between subpopulations of the subject population, indicating that these individuals are of a dierent ancestry.
As with all statistical analysis, genetic testing to determine whether variants are associated with disease susceptibility requires certain P values. e null hypothesis with regard to P value is the possibility of no association in genotype distri­bution between cases and controls. Similarly, this hypothesis of no association is rejected with a P < .05. Special tests may be adopted in candidate-gene or genome-wide association studies since all variants undergo study. Increased false­positive rates exist with increased hypothesis testing. Bonfer­roni correction is one of the most common approaches13 in these studies. e corrected statistical signicance level is 1/n times what is expected from only one variant testing. ere­fore, the signicance threshold is 0.05 divided by the number of markers under testing.

Disc Degeneration Genetics

ere has been a gradual shi in understanding of disc degen­eration from purely a reaction to aging and prolonged mechanical load to a more complex interaction between genetics (Table 8.1) and environmental factors.14 Earlier studies suggest contributions of age, gender, occupation, ciga­rette smoking, and increased height and weight.15 Using familial studies, several genetic variants have suggested this relationship, as young patients may also develop disc degen­eration.
16,17
In addition, a familial link can be generated due to
similarities (26%–72%) found between identical twin pairs.18 With analysis of monozygotic twins, up to 61% of the genetic variance can be explained by familial aggregation with only limited (16%) contribution by age and mechanical loading.19 Subsequent twin studies suggest that 74% of disc degeneration is heritable aer adjustment for age, body weight and height,
smoking, occupation, and degree of physical exercise.
As compared to spine deformity, in which the phenotype is clear, disc degeneration is overall more subjective for diag­nosis (Fig. 8.3). ere is a wide range of symptoms, severity,
and presentations, with particularly complex MRI features including loss of nucleus pulposus signal intensity, disc her­niation and bulging, endplate irregularities and Schmorl’s nodes, osteophyte formation, and disc space narrowing, Modic changes, and high-intensity zones. Some very young individu­als may develop severe disc degeneration, while some of the elderly may have normal discs. Clinical presentation is espe­cially variable as not all individuals with “black” discs develop back pain.
Despite evidence of heritability suggested by studies of twins, limited validation studies exist for the identied common variants. Considering the substantial population with disc degeneration, causality is still unclear with many unknown common variants still requiring identication. Most of the current studies focus around candidate-gene analysis with common SNPs. However, there is an increasing interest in rare variants due to their role in complex diseases.
Via linkage study, a novel susceptible variant in carbohy­drate sulfotransferase 3 (CHST3) is found to be associated with early-onset disc degeneration.21 is is accomplished by genotyping candidate regions on chromosomes 1, 5, 8, 10, and 20. A follow-up epigenetics study detected a reduction in expression of CHST3 mRNA in intervertebral disc cells of individuals carrying the A allele of the SNP rs4148941. By understanding the biologic pathways leading to the disc degeneration phenotype, probable candidate genes can be used to identify possible disease variants. e extracellular matrix is an integral part of the disc architecture; thus, genes encoding structural proteins including collagen and aggre­can are good candidate genes to analyze with regard to disc degeneration.
e vitamin-D receptor (VDR) has been most commonly replicated in dierent population cohorts, thus is the most robust of all associated genes under study. A Finnish twin study22 rst identied TaqI and FokI polymorphisms mani­festing as reduced signal intensity of the disc on MRI. TaqI has been replicated in a Japanese cohort23 and a Chinese population-based study.24 e next stage of functional valida­tion has yet to be performed, however. e expression of this variant is likely extracellular matrix alterations.
e gene ACAN encodes aggrecan, which is responsible for maintaining disc hydration as it is the major proteoglycan contributing to the cartilage and nucleus pulposus structure of the intervertebral disc. Variable number tandem repeats in ACAN is associated with disc degeneration in a young Japanese cohort,26 which has been replicated in the Han Chinese,27 Korean,28 and Turkish29 populations. A greater risk of symptoms has been observed in smokers (odds ratio [OR]
20
25
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TABLE 8.1 Genetic Variants for Disc Degeneration
Gene Protein Cohort/Study Population Size (N) Variant Reference
ACAN Aggrecan Japanese (64) Variable number tandem repeats 26
Chinese (132) 27 Korean (104) 28 Turkish (100) 29
ASPN Asporin Japanese (1353) D14 allele 3
Chinese (1055)
CHST3 Carbohydrate sulfotransferase 3 Japanese (23,136) Chinese (6088) rs4148941 21
Finnish (6069)
CILP Cartilage intermediate layer
protein
COL11A1 Type XI collagen Japanese (1852) rs1676486 30
COL1A1, COL1A2 Type I collagen Dutch (517) rs1800012 35
COL9A2 Type IX collagen Finnish (966) Trp2 31
COL9A3 Type IX collagen Finnish (492) Trp3 33
GDF5 Growth dierentiation factor Northern European (5259) rs143383 38
IL6 Interleukin 6 Finnish (538) rs1800795
MMP1 Matrix metalloproteinase-1 Chinese (691) –1607 promoter (G to D allele) 40
MMP2 Matrix metalloproteinase-2 Chinese (480) –1306 promoter (T to C allele) 41
MMP3 Matrix metalloproteinase-3 Japanese (109) MMP-3 promoter (5A5A and 5A6A) 42
MMP9 Matrix metalloproteinase-9 Chinese (859) –1562 promoter (C to T allele) 43
PARK2 Parkin (E3 ubiquitin ligase) Northern European (4600) rs926849 47
SKT Sickle tail Japanese (1758) rs16924573 45
THB2 Thrombospondin-2 Japanese (1743) rs9406328 44
VDR Vitamin D receptor Finnish (85 twins) TaqI, FokI 22
Finnish (538) rs2073711 46
Chinese (804) 32
46
rs1800797
Finnish (538) 46
Japanese (205) TaqI 23 Chinese (804) TaqI 24
= 4.5), suggesting further interactions with environmental factors.
Collagen is another structural protein that has been com­monly studied. Type XI collagen encoded by COL11A1 (SNP: rs1676486; T-allele) has been suggested in a Japanese study to be associated with disc herniation and sciatica due to destabi­lizing mRNA.30 Trp2 allele is a rare mutation of COL9A2 (type IX collagen) and is suggested to be a disease-causing mutation in a Finnish family linkage study.31 is association is repli­cated in the Chinese population, in which its frequency is even higher.32 Trp3 is another variant suggested to be causative in a Finnish population,33 but is not replicated in the Chinese32 or Southern European34 cohorts. COL1A1 and COL1A2 are two genes encoding collagen type I, and a SNP (rs1800012) is identied to be associated with disc degeneration.35 However, no large-scale study has replicated these results.
Other degeneration phenotypes, such as osteoarthritis, may have similar variants as disc degeneration. For example, associations with the gene ASPN (Asporin) have been observed in Asian cohorts.3 Asporin is an extracellular matrix protein that contributes to knee osteoarthritis. Growth dierentiation factor (GDF5) is also a commonly used candidate gene for
osteoarthritis36 as it is important for joint formation,37 but has also been shown to lead to disc degeneration. A SNP (rs143383) is related to disc space narrowing and osteophyte formation.38 In a meta-analysis with regard to rs143383, a signicant association can be detected among women for this
phenotype.
38
Matrix metalloproteinases (MMPs) are important proteins that are expressed in intervertebral discs. us, MMPs have increased enzymatic activity and increased expression in degenerated disc cells.39 MMP1, MMP2, MMP3, and MMP9 have been linked to disc degeneration. In a cohort of Southern Chinese subjects, the signicance of the MMP1 variant is found only in subjects older than 40 years.40 A signicant SNP located at the promoter region of MMP2 is associated with severe disc degeneration.41 Polymorphisms of MMP3 may lead to the onset and progression of disc degeneration.42 Finally, for MMP9, a SNP at the promoter region may also be associated with disc degeneration.43 All of these ndings are in Asian cohorts and have yet to be replicated in other ethnicities.
rombospondin-2 genes (THBS2) have also been studied in Japanese cohorts as possible candidate genes. A signicant
Chapter 8 Basic Concepts in Genetics and Intervertebral Disc Degeneration and Scoliosis 139
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FIG. 8.3 Importance and variations in phenotypes observed in disc degeneration. The left T2-weighted
magnetic resonance image (MRI) shows a relatively normal phenotype with signal intensity of the nucleus pulposus. The center MRI shows multiple discs with loss of signal intensity and disc height, bulging and high-intensity zone anteriorly at L4–L5. The right MRI shows discs with normal signal intensities but multiple endplate irregularities and Schmorl’s nodes.
SNP (rs9406328) has been proposed44 to be related to regula­tion of MMP expression in the disc. e combined eects of THBS2 and MMP9 variants amounts to an OR of 3.3 for disc degeneration.
44
Sickle tail (SKT) gene polymorphisms have been analyzed in a Japanese cohort.45 Here, a signicant SNP (rs16924573) observed has been replicated in the Finnish population.46 e risk of lost signal intensity at the nucleus pulposus and the
SKT SNP has been established (OR = 0.27 [95% CI, 0.07–0.96], P = .024).46 However, further functional studies of this rela-
tionship are required.
A recent large-scale (4600 subjects) genome-wide associa­tion study of a Northern European cohort suggests that the SNP (rs926849) of the PARK2 gene (P = 2.8 × 10−8) is also associated with disc degeneration.47 Polymorphisms have also been found for CILP (rs2073711) and IL6 (rs1800795 and rs1800797) genes via association study.
46
From the summary of genetic studies with regard to lumbar disc degeneration, many genes have been reported, but just a few have been replicated with dierent cohorts and ethnicities. A systematic review of disc degeneration association studies14 suggests that most of the reported studies have only a weak level of evidence. It is thus likely that cross-cohort validations are required in subsequent studies to raise the signicance of reported results.

Scoliosis Genetics

Early-Onset Scoliosis and Congenital Scoliosis
Early-onset scoliosis (EOS), according to the Scoliosis Research Society, is a lateral curvature of the spine that is diagnosed before the age of 10. us, any diagnoses can fall
under this category including neuromuscular, syndromic, congenital, and idiopathic scoliosis. With regard to idiopathic scoliosis, both infantile (ages 0–3 years) and juvenile (ages 4–10 years) idiopathic scoliosis are considered EOS. Due to the variable presentations of EOS, little evidence is available in regard to their inheritance. For idiopathic scoliosis, subjects that are younger commonly are boys as compared to older age groups, in which girls are more commonly aected.48 Older­onset scoliosis, in particular, has a higher incidence among relatives.
e occurrence of congenital scoliosis is usually sporadic, with an incidence of 0.5 to 1 per 1000 live births. ogy is likely to be multifactorial, with contributions from both genetic and environmental factors. Vertebral anomalies may arise from the fetal development with mothers exposed to environmental factors such as hypoxia, hyperthermia, carbon monoxide, and alcohol exposure.51 Gestational hypoxia, in particular, has been shown to potentiate abnormal broblast
49,50
Its etiol-
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TABLE 8.2 Genetic Variants for Congenital Scoliosis
Gene Function Cohort/Study Population (N) Variant/Location Reference
JAG1 Notch signaling pathway United States (4 families) Chromosome 20p12 58
PAX 1 United States (48) Chromosomes 20, 21 64
DLL3 United States (50) Chromosome 19 63
United Kingdom (3 families) Chromosome 19q13.1-q13.3 57
TBX6 T-box 6 China (254) rs2289292 rs3809624 62
TABLE 8.3 Genetic Variants for Adolescent Idiopathic Scoliosis
Linkage Cohort/Study Population (N) Reference
Chromosomes 6p,10q,18q United States (1 family) 72
Chromosome 19p13.3 Chinese (7 families) 73
Chromosome X United States (202 families) 75
Chromosomes 5p13, 13q13, 13q32 United States (7 families) 76
Chromosome 17p11 Italy (1 family) 77
Chromosomes 9q31.2-q34.2, 17q25.3-qtel United States (10 families) 78
Gene Protein Cohort/Study Population (N) Variant/Location Reference
CHD7 Chromodomain-helicase-DNA-binding
protein 7 (also associated with CHARGE syndrome)
MATN1 Matrilin 1, cartilage matrix protein Italy (81 families) Chromosome 1p35 81
MTNR1b Melatonin receptor 1B Chinese (1465) rs4753426 82
Xbal Estrogen receptor Japanese (304) Chromosome X 85
CHL1 Neural cell adhesion molecule L1-like protein
(Robo3 related)
LBX1 Ladybird homeobox 1 Japanese (1376 families) rs11190870 90
GPR126 G protein–coupled receptor 126 Japanese (1819 cases) rs6570507 94
France (10) Intron 2 79 United States (52 families) Exons 2–4
Chromosome 8q12
Chinese (376) 86
United States (419 families) rs1400180
rs10510181
ICSG (6 Asian, 3 non-Asian cohorts) 93
80
89
ICSG, International Consortium for Scoliosis Genetics.
growth factor (FGF) signaling in mice, which thus develop congenital scoliosis.
52
e phenotype of congenital scoliosis includes vertebral and rib malformation caused by failure of segmentation or formation in utero. Overall, the genetic understanding (Table
8.2) of this condition is still limited, with only a few signicant
association studies performed. Complex interactions between the signaling pathways such as FGF, Wnt, and Notch, occur in the embryo to form vertebral bodies from somites.53 Various notch pathway genes. including MESP2,54 LFNG,55 and HES7,56 have been identied to trigger normal somite segmentation and vertebral development in mice. Any mutation in these genes alters the pathway of vertebral development and may lead to anomalies. e association is more complex in humans due to the less predictable vertebral and rib malformations. Several gene variants of the Notch pathway have been identi­ed in spondylocostal dysostosis57 and Alagille syndrome.
58,59
However, the actual gene and protein mechanisms responsible for the phenotype representation are still unknown; thus, these mutations may not be the sole contributory element. Via animal studies, several human candidate genes from the Wnt ,
FGF, and Notch signaling pathways have been identied. PAX 1, DLL3, and TBX6 are candidate genes that have been
studied using association analysis.
61–65
One study on Han Chinese subjects comparing patients with congenital scoliosis with normal spines yielded two SNPs of the TBX6 gene (rs2289292 and rs3809624) to be in strong LD (LOD = 57.48), suggesting that these rare variants play important roles in the development of congenital scoliosis.
62
Adolescent Idiopathic Scoliosis
As compared to EOS, adolescent idiopathic scoliosis (AIS) involves patients older than 10 years of age. AIS usually involves girls and with right-sided thoracic involvement instead of the opposite in early-onset idiopathic scoliosis. It is the most common pediatric spinal deformity, aecting 2% to 3% of children.66 ere is an adequate sampling for genetic studies (Table 8.3) as shown by more research in this area as compared to EOS. Original twin studies supported a genetic etiology in AIS. characteristic may dier and may not aect every generation.
48,67
Within AIS families, the disease
49,60
Chapter 8 Basic Concepts in Genetics and Intervertebral Disc Degeneration and Scoliosis 141
Similar to other spinal deformities, it is a complex trait that likely involves more than one gene.
In a further assessment of AIS family history, one study found that 97% of AIS patients have familial origins.68 e genes that contribute to AIS are likely to exist with dierent types of expression and penetrance, which explains why some subjects have more orid phenotypes than others despite sharing a similar gene pool. is suggests that only up to 30% male and 50% female carriers of the disease variant develop more pronounced scoliosis.
69
Based on family studies, linkage analysis and association studies are conducted to identify the disease susceptibility genes. Previous reviews on familial AIS genetics have been published
70,71
with identication of signicant linkage regions specically located on chromosomes 6, 10, and 18. Large family genetics showed the highest LOD score on chromo­some 18.72 is prompted further study into AIS families, which found a plethora of susceptibility areas in the genome that might give rise to scoliosis. Some found linkage areas with a LOD score of 3.63 on chromosome 19p13.3.73 is region was veried in a subset of families with probands having Cobb angles of 30 degrees or greater.74 Others reported the X chro­mosome with a maximum LOD score of 1.6975 and specically kyphoscoliosis to be associated with linkage at chromosomes 5 and 13.76 Other positive ndings were observed with marker D17S799 (LOD 3.20) in a three-generation Italian family,77 and linkage at marker D9S2157 of chromosome 9q (LOD
3.64) and at marker AAT095 of chromosome 17q (LOD 4.08) in the British population.
78
Overlap of genes associated with congenital abnormalities is also observed in AIS subjects. e CHD7 gene has been found to be associated with CHARGE syndrome during gene mapping.79 e CHD7 gene is known to be expressed in undif- ferentiated neuroepithelium and in neural crest mesenchymal cells. It is found in the dorsal root ganglia, cranial nerves, audi­tory area, pituitary area, nasal tissues, and neural retina near the end of the rst trimester. Gao et al.80 identied an A to G SNP in intron 2 of the CHD7 gene that disrupted a transcrip­tion factor binding site associated with late-onset idiopathic scoliosis. Resequencing of the CHD7 gene veried potential functional polymorphisms that may disrupt this transcription factor binding site, suggesting an etiologic overlap between CHARGE syndrome and idiopathic scoliosis.
80
Using genome-wide association studies, several genes have been identied as potential susceptibility genes. An allele of a microsatellite marker in the MATN1 gene is overtransmitted from parents to aected probands, suggesting a link to familial idiopathic scoliosis.81 Using a chicken pinealectomy model, melatonin deciency is observed as a possible disease mecha­nism for AIS. e melatonin receptor 1B (MTNR1B) has also been identied as a possible candidate gene in a study on Chinese AIS subjects.82 A “C-C” genotype with a promoter SNP (rs4753426) signicantly increases the risk of AIS (OR,
1.29). ese results, however, are not veried in Japanese and Hungarian cohorts.
83,84
e Xbal polymorphism of the gene encoding the estrogen receptor has been linked to curve sever­it y.85 Although this association is observed in a Chinese dataset,86 this has not been replicated in other studies.
87
Several contributing variants have been detected by linkage analysis. However, detecting disease genes related to AIS remains limited. Complex genetic disorders such as AIS are expected to be associated with multiple gene variants with only moderate eects of each. In view of this, linkage analysis
may be limited in detection of all genes, and association studies may have better success.88 In addition to larger sample sizes to obtain signicant ndings, identied disease genes
require verication in other populations and ethnicities.
Using genome-wide association studies, several recent ndings are worth mentioning. e SNPs (rs10510181) near the CHL1 gene89 and (rs11190870) near the LBX1 gene90 have been identied and replicated in the Chinese population.
91,92
Several Asian and non-Asian cohorts have also veried rs11190870 in a meta-analysis and yielded P values of 1.22 ×
–43
10
for both genders and 2.94 × 10
–48
for females.93 is is the rst susceptibility locus for AIS that is replicated in several populations. A third signicant SNP (rs6570507) has also been detected in a Japanese population to exist in the GPR126 (encoding G protein–coupled receptor 126) gene, which has been replicated in Chinese and European cohorts.94 ese SNPs are suggested to have ORs of 1.2 to 1.4 for AIS suscep­tibility. ese association studies are now the go-to method for identifying gene variants; further studies are expected to be generated in a similar manner.

Conclusions and the Future

is chapter is an introduction into the eld of genetics. It acts as a basic guideline for clinicians to understand the genetic jargon and available evidence with regard to genetic suscepti­bility genes identied for disc degeneration and scoliosis. Numerous genetic studies have been carried out to locate susceptibility genes responsible for development of lumbar disc degeneration and scoliosis. As both are complex diseases, studies have identied multiple gene interactions as well as dierent risk patterns according to exposure to environmental factors such as aging and smoking for disc degeneration. With increasing demand and interest for higher-level genetic studies, the advancement of genotyping and sequencing technologies have followed suit, with the more complex and stronger association studies and exome-sequencing methods.
Due to these advances, better understanding of complex disorders is possible.95 However, there are still signicant limi­tations in our current understanding. Very few of the suscep­tible genes are replicated, and many of their functions are unknown. Before functional studies can be performed by testing gene knockout in animal models, larger sample sizes with cross-validation of dierent cohorts are necessary to have a more accurate evaluation of possible genetic variants to avoid testing incorrect and false-positive polymorphisms. us, multicenter and multiethnic genetic studies with inter­national collaborations are inevitable to produce results of higher signicance. To ensure standardization among research groups, phenotypes should be dened properly with good reliability of assessment. In addition to the study phenotypes, gene–gene and gene–environmental interactions must be
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142 BASIC SCIENCE
assessed and accounted for during analysis. is is a necessary process for all complex genetic diseases.

KEY REFERENCES

1. Song YQ, Karasugi T, Cheung KM, et al. Lumbar disc degeneration is linked to a carbohydrate sulfotransferase 3 variant. J Clin Invest. 2013;123(11):4909-4917.
2.
Cheung KM, Chan D, Karppinen J, et al. Association of the Taq I
allele in vitamin D receptor with degenerative disc disease and disc bulge in a Chinese population. Spine. 2006;31(10):1143-1148.
3.
Williams FM, Bansal AT, van Meurs JB, et al. Novel genetic
variants associated with lumbar disc degeneration in northern Europeans: a meta-analysis of 4600 subjects. Ann Rheum Dis. 2013;72(7):1141-1148.
4.
Takahashi Y, Kou I, Takahashi A, et al. A genome-wide association
study identies common variants near LBX1 associated with adolescent idiopathic scoliosis. Nat Genet. 2011;43(12):1237-1240.
5.
Londono D, Kou I, Johnson TA, et al. A meta-analysis identies
adolescent idiopathic scoliosis association with LBX1 locus in multiple ethnic groups. J Med Genet. 2014;51(6):401-406.
6.
Kou I, Takahashi Y, Johnson TA, et al. Genetic variants in GPR126
are associated with adolescent idiopathic scoliosis. Nat Genet. 2013;45(6):676-679.

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