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Chapter 8 Basic Concepts in Genetics and Intervertebral Disc Degeneration and Scoliosis 143
32. Jim JJ, Noponen-Hietala N, Cheung KM, et al. e TRP2
allele of COL9A2 is an age-dependent risk factor for the development and severity of intervertebral disc degeneration. Spine. 2005;30(24):2735-2742.
33. Paassilta P, Lohiniva J, Goring HH, et al. Identication of a novel common genetic risk factor for lumbar disk disease. JAMA. 2001;285(14):1843-1849.
34. Kales SN, Linos A, Chatzis C, et al. e role of collagen IX tryptophan polymorphisms in symptomatic intervertebral disc disease in Southern European patients. Spine. 2004;29(11):1266-1270.
35. Pluijm SM, van Essen HW, Bravenboer N, et al. Collagen type I alpha1 Sp1 polymorphism, osteoporosis, and intervertebral disc degeneration in older men and women. Ann Rheum Dis. 2004;63(1):71-77.
36. Miyamoto Y, Mabuchi A, Shi D, et al. A functional polymorphism in the 5’ UTR of GDF5 is associated with susceptibility to osteoarthritis. Nat Genet. 2007;39(4): 529-533.
37. Francis-West PH, Abdelfattah A, Chen P, et al. Mechanisms of GDF-5 action during skeletal development. Development. 1999;126(6):1305-1315.
38. Williams FM, Popham M, Hart DJ, et al. GDF5 single-nucleotide polymorphism rs143383 is associated with lumbar disc degeneration in Northern European women. Arthritis Rheum. 2011;63(3):708-712.
39. Bachmeier BE, Nerlich A, Mittermaier N, et al. Matrix metalloproteinase expression levels suggest distinct enzyme roles during lumbar disc herniation and degeneration. Eur Spine J. 2009;18(11):1573-1586.
40. Song YQ, Ho DW, Karppinen J, et al. Association between promoter -1607 polymorphism of MMP1 and lumbar disc disease in Southern Chinese. BMC Med Genet. 2008; 9:38.
41. Dong DM, Yao M, Liu B, et al. Association between the
-1306C/T polymorphism of matrix metalloproteinase-2 gene and lumbar disc disease in Chinese young adults. Eur Spine J. 2007;16(11):1958-1961.
42. Takahashi M, Haro H, Wakabayashi Y, et al. e association of degeneration of the intervertebral disc with 5a/6a polymorphism in the promoter of the human matrix metalloproteinase-3 gene. J Bone Joint Surg Br. 2001;83(4):491-495.
43. Sun ZM, Miao L, Zhang YG, et al. Association between the
-1562 C/T polymorphism of matrix metalloproteinase-9 gene and lumbar disc disease in the young adult population in North China. Connect Tissue Res. 2009;50(3):181-185.
44. Hirose Y, Chiba K, Karasugi T, et al. A functional polymorphism in THBS2 that aects alternative splicing and MMP binding is associated with lumbar-disc herniation. Am J Hum Genet. 2008;82(5):1122-1129.
45. Karasugi T, Semba K, Hirose Y, et al. Association of the tag SNPs in the human SKT gene (KIAA1217) with lumbar disc herniation. J Bone Miner Res. 2009;24(9):1537-1543.
46. Kelempisioti A, Eskola PJ, Okulo A, et al. Genetic susceptibility of intervertebral disc degeneration among young Finnish adults. BMC Med Genet. 2011;12:153.
47. 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.
48. Wynne-Davies R. Familial (idiopathic) scoliosis. A family survey. J Bone Joint Surg Br. 1968;50(1):24-30.
49. Giampietro PF, Blank RD, Raggio CL, et al. Congenital and idiopathic scoliosis: clinical and genetic aspects. Clin Med Res. 2003;1(2):125-136.
50. Shands AR Jr, Eisberg HB. e incidence of scoliosis in the
state of Delaware; a study of 50,000 minilms of the chest made during a survey for tuberculosis. J Bone Joint Surg Am. 1955;37-A(6):1243-1249.
51. Ingalls TH, Curley FJ. Principles governing the genesis of congenital malformations induced in mice by hypoxia. N Engl J Med. 1957;257(23):1121-1127.
52. Sparrow DB, Chapman G, Smith AJ, et al. A mechanism for gene-environment interaction in the etiology of congenital scoliosis. Cell. 2012;149(2):295-306.
53. Pourquie O. Vertebrate segmentation: from cyclic gene networks to scoliosis. Cell. 2011;145(5):650-663.
54. Whittock NV, Sparrow DB, Wouters MA, et al. Mutated
MESP2 causes spondylocostal dysostosis in humans. Am J Hum Genet. 2004;74(6):1249-1254.
55. Sparrow DB, Chapman G, Wouters MA, et al. Mutation of the LUNATIC FRINGE gene in humans causes spondylocostal dysostosis with a severe vertebral phenotype. Am J Hum Genet. 2006;78(1):28-37.
56. Sparrow DB, Sillence D, Wouters MA, et al. Two novel missense mutations in HAIRY-AND-ENHANCER-OF-SPLIT-7 in a family with spondylocostal dysostosis. Eur J Hum Genet. 2010;18(6):674-679.
57. Bulman MP, Kusumi K, Frayling TM, et al. Mutations in the human delta homologue, DLL3, cause axial skeletal defects in spondylocostal dysostosis. Nat Genet. 2000;24(4): 438-441.
58. Li L, Krantz ID, Deng Y, et al. Alagille syndrome is caused by mutations in human Jagged1, which encodes a ligand for Notch1. Nat Genet. 1997;16(3):243-251.
59. Oda T, Elkahloun AG, Pike BL, et al. Mutations in the human Jagged1 gene are responsible for Alagille syndrome. Nat Genet. 1997;16(3):235-242.
60. Giampietro PF. Genetic aspects of congenital and idiopathic scoliosis. Scientica (Cairo). 2012;2012:152365.
61. Erol B, Tracy MR, Dormans JP, et al. Congenital scoliosis and vertebral malformations: characterization of segmental defects for genetic analysis. J Pediatr Orthop. 2004;24(6): 674-682.
62. Fei Q, Wu Z, Wang H, et al. e association analysis of TBX6 polymorphism with susceptibility to congenital scoliosis in a Chinese Han population. Spine. 2010;35(9):983-988.
63. Giampietro PF, Raggio CL, Reynolds C, et al. DLL3 as a candidate gene for vertebral malformations. Am J Med Genet A. 2006;140(22):2447-2453.
64. Giampietro PF, Raggio CL, Reynolds CE, et al. An analysis of PAX1 in the development of vertebral malformations. Clin Genet. 2005;68(5):448-453.
65. Maisenbacher MK, Han JS, O’Brien ML, et al. Molecular analysis of congenital scoliosis: a candidate gene approach. Hum Genet. 2005;116(5):416-419.
66. Weinstein SL. Natural history. Spine. 1999;24(24):2592-2600.
67. Andersen MO, omsen K, Kyvik KO. Adolescent idiopathic scoliosis in twins: a population-based survey. Spine. 2007;32(8):927-930.
68. Ogilvie JW, Braun J, Argyle V, et al. e search for idiopathic scoliosis genes. Spine. 2006;31(6):679-681.
69. Axenovich TI, Zaidman AM, Zorkoltseva IV, et al. Segregation analysis of idiopathic scoliosis: demonstration of a major gene eect. Am J Med Genet. 1999;86(4):389-394.
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70. Cheung KM, Wang T, Qiu GX, et al. Recent advances in the aetiology of adolescent idiopathic scoliosis. Int Orthop. 2008;32(6):729-734.
71. Miller NH. Genetics of familial idiopathic scoliosis. Clin Orthop Relat Res. 2007;462:6-10.
72. Wise CA, Barnes R, Gillum J, et al. Localization of susceptibility to familial idiopathic scoliosis. Spine. 2000;25(18):2372-2380.
73. Chan V, Fong GC, Luk KD, et al. A genetic locus for adolescent idiopathic scoliosis linked to chromosome 19p13.3. Am J Hum Genet. 2002;71(2):401-406.
74. Alden KJ, Marosy B, Nzegwu N, et al. Idiopathic scoliosis: identication of candidate regions on chromosome 19p13. Spine. 2006;31(16):1815-1819.
75. Justice CM, Miller NH, Marosy B, et al. Familial idiopathic scoliosis: evidence of an X-linked susceptibility locus. Spine. 2003;28(6):589-594.
76. Miller NH, Marosy B, Justice CM, et al. Linkage analysis of genetic loci for kyphoscoliosis on chromosomes 5p13, 13q13.3, and 13q32. Am J Med Genet A. 2006;140(10):1059-1068.
77. Salehi LB, Mangino M, De Serio S, et al. Assignment of a locus for autosomal dominant idiopathic scoliosis (IS) to human chromosome 17p11. Hum Genet. 2002;111(4-5):401-404.
78. Ocaka L, Zhao C, Reed JA, et al. Assignment of two loci for autosomal dominant adolescent idiopathic scoliosis to chromosomes 9q31.2-q34.2 and 17q25.3-qtel. J Med Genet. 2008;45(2):87-92.
79. Sanlaville D, Etchevers HC, Gonzales M, et al. Phenotypic spectrum of CHARGE syndrome in fetuses with CHD7 truncating mutations correlates with expression during human development. J Med Genet. 2006;43(3):211-217.
80. Gao X, Gordon D, Zhang D, et al. CHD7 gene polymorphisms are associated with susceptibility to idiopathic scoliosis. Am J Hum Genet. 2007;80(5):957-965.
81. Montanaro L, Parisini P, Greggi T, et al. Evidence of a linkage between matrilin-1 gene (MATN1) and idiopathic scoliosis. Scoliosis. 2006;1:21.
82. Qiu XS, Tang NL, Yeung HY, et al. Melatonin receptor 1B (MTNR1B) gene polymorphism is associated with the occurrence of adolescent idiopathic scoliosis. Spine. 2007;32(16):1748-1753.
83. Morocz M, Czibula A, Grozer ZB, et al. Association study of BMP4, IL6, Leptin, MMP3, and MTNR1B gene promoter
polymorphisms and adolescent idiopathic scoliosis. Spine. 2011;36(2):E123-E130.
84. Takahashi Y, Matsumoto M, Karasugi T, et al. Lack of association between adolescent idiopathic scoliosis and previously reported single nucleotide polymorphisms in
MATN1, MTNR1B, TPH1, and IGF1 in a Japanese population. J Orthop Res. 2011;29(7):1055-1058.
85. Inoue M, Minami S, Nakata Y, et al. Association between estrogen receptor gene polymorphisms and curve severity of idiopathic scoliosis. Spine. 2002;27(21):2357-2362.
86. Wu J, Qiu Y, Zhang L, et al. Association of estrogen receptor gene polymorphisms with susceptibility to adolescent idiopathic scoliosis. Spine. 2006;31(10):1131-1136.
87. Tang NL, Yeung HY, Lee KM, et al. A relook into the association of the estrogen receptor [alpha] gene (PvuII, XbaI) and adolescent idiopathic scoliosis: a study of 540 Chinese cases. Spine. 2006;31(21):2463-2468.
88. Freely associating. Nat Genet. 1999;22(1):1-2.
89. Sharma S, Gao X, Londono D, et al. Genome-wide association studies of adolescent idiopathic scoliosis suggest candidate susceptibility genes. Hum Mol Genet. 2011;20(7): 1456-1466.
90. 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.
91. Fan YH, Song YQ, Chan D, et al. SNP rs11190870 near LBX1 is associated with adolescent idiopathic scoliosis in southern Chinese. J Hum Genet. 2012;57(4):244-246.
92. Gao W, Peng Y, Liang G, et al. Association between common variants near LBX1 and adolescent idiopathic scoliosis replicated in the Chinese Han population. PLoS ONE. 2013;8(1):e53234.
93. 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.
94. 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.
95. Chan WC, Sze KL, Samartzis D, et al. Structure and biology of the intervertebral disk in health and disease. Orthop Clin North Am. 2011;42(4):447-464, vii.
Twin Studies: Elucidating Genetic and
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9
CHAPTER
For the latter half of the 20th century, problems with back pain and degenerative conditions were thought to be primarily a result of excessive loading and the cumulative eects of
physical demands on the back. us, injury and “wear-and­tear” models were commonly used to explain degenerative conditions and back pain.1 Accordingly, prevention focused on ergonomic interventions, education in proper liing and
other strategies aimed at decreasing daily loading of the spine, particularly through workplace safety and health initiatives.2 However, over the past few decades, a dramatic shi has occurred away from this view such that degenerative condi­tions, such as disc degeneration and lumbar spinal stenosis, are now thought to be substantially driven by genetic factors. While environmental factors are also important, exposure to heavy materials handling and other physical demands that were once believed to be the primary risk factors appear to have relatively modest eects overall. Twin studies have been major contributors to this shi in how common degenerative spinal conditions are viewed.
is chapter briey reviews some of the highlights of what has been learned about common degenerative conditions through twin studies. Many examples come from the Twin Spine Study, a research program spanning more than 2 decades utilizing the Finnish Twin Cohort,3 and projects utilizing the TwinsUK registry,5 which have been long-standing contribu­tors in the area. Chapter 8 focuses specically on genotypes suspected of inuencing risk of various common spinal disor­ders and the biologic mechanisms through which they may act. is chapter concentrates on the contribution of twin
studies to elucidating overall genetic versus environmental
inuences.

Twin Studies

Many traits, conditions, and diseases run in families; therefore, family history is oen assessed in the work-up of a patient. However, families share not only genes but also many aspects of the environment (here dened very broadly as all nonge- netic inuences, be they physical, chemical or microbiologic agents, lifestyle factors, or psychosocial inuences). ese
3,4
Environmental Inuences
Michele C. Battié
Jaakko Kaprio
nongenetic environmental inuences are more important during the time that family members share a common house­hold, that is, during childhood and adolescence, but these inuences can be maintained either socially or even through epigenetic mechanisms. If we study nuclear families (parents and children), we can observe familial aggregation but cannot be condent in ascribing where it arises from—is it common
genes, shared exposures and experiences, or both? Naturally, there may be opportunities to conduct experiments (in animal models) or even interventions/eld trials in humans to resolve this, but for many putative causes of disease, such experimen­tation is not possible logistically or ethically.
One approach to provide more insight into the relative role of genetics versus environment is the study of twins. Two types of twinning exist. First, monozygotic (MZ; early division of the zygote into two individuals) twins share the same genomic sequence and hence are genetically identical, thus oen called
identical twins. However, external inuences act in them in utero and postnatally; thus, they can be and are to some degree phenotypically dierent from one another. Dizygotic (DZ)
twinning arises from the release and fertilization of two eggs. DZ twins are genetically full siblings and oen called noniden-
tical, or fraternal, twins. Both twinning types result in a twin pregnancy with birth of the two individuals at the same time.
For more than 100 years, the realization of two types of twins has led to comparison of the similarity of MZ versus DZ twins to provide information about the contribution of genetic factors. If MZ and DZ twin pairs are overall more similar than two individuals chosen at random from the same population, this result, like those from other types of family studies, is evidence for familial aggregation and familial inuences on the trait being studied. If there is no dierence in the average
similarity of MZ versus DZ cotwins, this speaks to primarily nongenetic family inuences giving rise to familial resem-
blance and suggests the absence of genetic inuences. If there are genetic inuences, then MZ twins would be expected to resemble each other for the trait in question more than DZ twins, as MZ twins share the same genomic sequence and DZ twins share only 50% of their segregating genes, on average.
For a trait that is due to multiple genes, each of quite small
eect, the similarity of MZ twins is expected to be twice that
I
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146 BASIC SCIENCE
of DZ twins. If assessed as correlations, the expected genetic correlation of MZ pairs is unity (1) and that of DZ twins is
0.5. is has been found to be the case for multiple traits, a prime example of this being height. Such eects are additive
across all contributing loci and each risk allele contributes equally in both heterozygotes (i.e., carrying one risk allele) and homozygotes (carrying two risk alleles having twice the eect size compared to heterozygotes). is source of varia-
tion in the phenotype is known as additive genetic variance (A). Extensive reviews of twin study designs and modeling approaches are available elsewhere.
6,7
Genetic eects may also be due to dominance, that is, the
sum of all nonlinear eects of alleles at a locus, in which the heterozygote phenotype value deviates from the midvalue predicted from the two homozygotes. e genetic correlation reecting dominance eects is unity in MZ but only 0.25 in DZ pairs; this gives rise to genetic variance due to dominance (D). Finally, there may be gene-gene interactions or epistasis aecting phenotypes.
Nongenetic variance in a trait is divided into that shared by the twin siblings, that is, those experiences and exposures that make them similar, termed environmental eects in common (C) and those that are not shared; that is, unique to each twin (E). ese are distinguished by whether the eects of the experiences and exposures are shared and have equal eects on both twins, not by the actual environmental factor. us, if both twins exercise extensively and that has eects on back pain, for example, that will create common (C) eects on back pain, but if only one twin does so, this will result in a contribution to unique environmental eects (E).
Based on these expectations, it is possible to model data from MZ and DZ twin pairs, to derive estimates of the relative contribution of genetics, and thus estimate the heritability of a trait. e latter is dened as the proportion of total variance
for a trait accounted for by genetic factors, typically additive (A), but sometimes the overall genetic variance A+D. Of note is that A eects are transmitted from one generation to the
next, but D eects are not. e current statistical approaches to modeling permit evaluation of which models best account for the observed variance in a trait, providing the best statisti­cal t. us, we can evaluate which of several models ts the data when a single trait is looked at. e simplest model is unique environment only (E), thus rejecting all evidence for familial eects. As measurement error and random eects are
part of E, E is included in all more complex models. An AE model would specify that the pattern of twin similarity in MZ and DZ models ts a polygenic additive model, with no shared environmental eects (C) and no genetic eects due to domi­nance (D). Alternative models CE, ACE, and ADE can also be specied and tested. By comparing the t of two models, such
as ACE and AE, one can decide whether shared environment
(C) eects are statistically compelling. e broad sense heri­tability or overall genetic inuences from both A and D will
be primarily reported from the so-called “classic twin studies” included in this chapter.
e statistical models and soware to run such models have developed greatly in the past 30 years. At present, many types of multivariate and longitudinal models based on twin
data are possible. Multivariate models permit answering ques­tions about the degree of shared genetic or environmental
eects across related traits. Such an example is our analysis of the genetic correlation of back pain and MRI-assessed disc degeneration.8 Likewise, the longitudinal stability and change of genetic eects can be assessed. In other words, are the same genetic eects present in disc degeneration when assessed 10 years later, as the participants have aged? While genes do not change in structure over time, their expression and activ­ity do, resulting in possible novel genetic eects as people develop and age. Finally, these models permit assessment of gene-environment interactions, asking whether a known exposure modies the impact of genetic variation. An example is the well-replicated nding that physical activity buers the impact of genes on obesity; among sedentary persons, genes account for a much larger fraction of variance in body mass index (BMI) than among physically active persons. is
observation from twin studies9 has now been extensively cor­roborated using measured genotypes associated with BMI.9a ese designs have not yet been extensively used in back pain studies.
All of the aforementioned models target primarily the estimation of familial aggregation and the contribution of genetic and shared environmental eects. ere is a massive twin literature on this topic summarized in a recent review article.10 Nearly all studied traits have some degree of genetic
inuence.
When studying the association of a putative risk factor or exposure on an outcome, such as back pain, the association may be causal, that is, implying that reducing the risk factor would lead to a reduction in back pain. Alternatively, it can be due to confounding. Measurement of known confounders and adjustment for them in statistical models has been the stan­dard approach in observational epidemiology, be they cohort or case-control studies. However, not all confounders are known or measureable. Genetic factors underlying back pain, as shown by the studies in this chapter, may be shared with genetic eects on the risk factor. us, the association of
smoking with disc degeneration may be causal (and there are plausible biologic explanations for that) or it may be accounted for by confounders, known and unknown. As smoking itself is, in part, heritable and genes for various aspects of smoking behavior have been identied,11 there is potential for con-
founding due to shared genes.
Study designs that adjust for genetic variation made pos­sible by the study of twins are exposure-discordant and matched case-control designs to study nongenetic eects. As
MZ twins share the same genomic sequence, all dierences between the twins arise from nongenetic causes. If we can identify twin pairs in which one smokes and the other does not (exposure discordant), then a test of the causal hypothesis of the association between smoking and back pain would be to study back pain in a suciently large number of such pairs discordant for smoking. If the MZ cotwins who are smokers have signicantly more back pain than their cotwins who do
not smoke, strong evidence would be provided to support a causal hypothesis. e design controls for genetic background
and for sex and age eects as well as the exposures that both
Chapter 9 Twin Studies: Elucidating Genetic and Environmental Inuences 147
twins have shared (such as numerous childhood and adoles­cent exposures from their common childhood home). Matched case-control designs have also been used for the study of environmental inuences on back pain, selecting pairs in
which one cotwin has back pain and the other is “pain free.”

Critical Importance of Phenotype

It is the observable trait (e.g., lumbar spinal stenosis, disc narrowing, and chronic low back pain), referred to as the phenotype, that we are trying to better understand through whatever genetic or other research is being conducted. us, a clear, well-conceptualized case denition is critical, yet oen neglected. Inadequate phenotype denitions or descriptions
can lead to an incorrect interpretation of results and inability to replicate ndings. is problem became very apparent
when a simple literature search was performed to identify gene association studies of “disc disease.”29 Denitions of pheno-
types under the rubric of “lumbar disc disease” varied greatly, ranging from “discogenic sciatica” with severe, unilateral pain radiating from the back to below the knee to a loss of disc signal observed on magnetic resonance imaging (MRI) regardless of back pain history. Phenotypes of “degenerative disc disease” also lacked consistency in the underlying concept, varying from observations of disc signal loss, narrowing or bulging irrespective of history of back symptoms, to a diagno­sis of degenerative disc disease for chronic low back pain for which spine surgery was planned.29 Such widely varying, dis­parate phenotype denitions reveal underdeveloped clinical concepts (e.g., degenerative disc disease) that are the root of much miscommunication and misunderstanding. is
problem is receiving long overdue attention; there are several international groups currently working toward consensus of broad underlying concepts and associated phenotype deni-
tions of prevalent spinal conditions to create a common lan­guage to move the eld forward. Furthermore, agreement on phenotype denitions would greatly facilitate the search for associated gene variants, as very large subject samples are needed, typically requiring meta-analyses across studies to condently identify associated genes.
Phenotype measurement accuracy and precision are also important in all studies, including twin studies, as inaccurate measurements dilute or mask true associations. A couple of examples of this come from twin studies. For example, with respect to smoking, when nicotine intake was of interest and the associated phenotype was dened as the reported number of cigarettes smoked per day, the most strongly associated single nucleotide polymorphism within a cluster of three nico­tinic acetylcholine receptor genes accounted for only 1% of the variance in nicotine intake. However, the variance explained by the single nucleotide polymorphism increased nearly vefold when the phenotype was dened using cotinine, a more accurate biomarker of nicotine intake.12 Some discrepant ndings related to the heritability of disc degeneration, as indicated by disc signal loss on MRI, may have their roots in a similar problem. When dened by a four-point qualitative score, disc signal loss was not found to be heritable in a classic
twin study of English and Australian women.13 However, when using a more precise quantitative, continuous MRI measure of disc signal, disc desiccation was found to be sub­stantially heritable (30%–54%) in a classic twin study of Finnish men.
14
Genetic Versus Environmental Inuences on Lumbar Degenerative and Pathoanatomic Findings
Disc Degeneration
High suspicions of substantial genetic inuences are oen raised when traits are observed to be much more similar within family members than would be expected by chance. Such was the case for disc degeneration. While there had been a number of previous case reports documenting high degrees of similarity in disc degeneration within family members, it was two studies of independent samples of Finnish male monozygotic twins in 1995, one with 20 pairs and the other 116 pairs, which provided strong evidence of familial aggrega­tion suggesting that disc degeneration may be much more genetically determined than previously thought (Fig. 9.1).15 Not only were the lumbar spines of the cotwins morphologi­cally similar, as might have been expected, they were also similar in terms of the degree, type, and location of qualita­tively assessed degenerative ndings (e.g., disc signal loss,
narrowing, and bulging) on MRI. e suspicion that the simi­larities observed may have been largely due to genetic inu-
ences rather than shared environmental inuences was heightened as exposures to the main suspected environmental risk factors explained very little of the variance in disc degen­eration or the high degree of cotwin similarities.
Later, heritability, or the proportion of population vari­ance in a trait or disease accounted for by interindividual genetic variation, was estimated for various disc degeneration phenotypes using a classic twin study design and genetic inuences were conrmed to be high. In a classic twin study
involving primarily English and Australian women (326 twin pairs) reported in 1999, Sambrook et al. found that approxi­mately 75% of the variance in disc degeneration—dened as a summary score of disc signal loss, bulging, disc narrowing, and osteophyte formation—was explained by genetic inu-
ences.13 A later study of a sample of 300 pairs of monozygotic and dizygotic adult male Finnish twins investigated genetic inuences on disc signal, bulging, and narrowing and found less dramatic but substantial heritability estimates of 29% to 54% depending on the particular phenotype.
Findings from the latter study also included multivariate analyses to examine shared genetic inuences between traits.
e ndings suggested that disc signal, bulging, and narrow­ing have primarily shared genetic inuences, with lumbar disc
bulging and narrowing nearly fully sharing their genetic inuences (genetic correlations >0.90). However, degenerative
ndings at upper and lower lumbar levels have important independent genetic eects. us, it may be wise to consider lumbar level when dening phenotypes for gene mapping of
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FIG. 9.1 A high degree of similarities in disc degeneration and endplate defects or irregularities was noted
between twin siblings, often despite high discordance in lifetime occupational loading histories. (From Battié MC, Videman T, Kaprio J, et al. The Twin Spine Study: contributions to a changing view of disc degeneration. Spine J. 2009;9(1):47–59.)
Chapter 9 Twin Studies: Elucidating Genetic and Environmental Inuences 149
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I
AB
FIG. 9.2 (A) Top, Images from a pair of 51-year-old male monozygotic twins from the Twin Spine Study;
bottom, images of the same pair 15 years later. (B) Top, Images from a pair of 36-year-old male monozygotic twins; bottom, images of the same pair 15 years later.
disc degeneration and related pathology or, at least, to consider upper and lower lumbar levels separately.
14
Not surprisingly, as disc degeneration is substantially genetically determined when studied in cross-sectional studies, the rate or progression of degenerative ndings (disc
signal loss, bulging) assessed longitudinally has also demon­strated familial aggregation and genetic inuences (Fig.
16–18
9.2).
Yet, it is interesting that familial aggregation explained 56% of the variance in progression of disc narrowing in 75 MZ male twin pairs,16 whereas no heritability was found for the progression of disc narrowing in a classic twin study of 234 pairs of primarily female MZ and DZ twins.18 e contrasting
ndings are curious, as it seems unlikely that the high degree of familial aggregation for disc narrowing found in the male MZ twins would be entirely explained by shared environmen­tal inuences. While heritability of progression is notable, the identication of stark variations in the development of degen­erative and pathoanatomic ndings between MZ cotwins may oer unique opportunities for exploration of possible environ-
mental and behavioral inuences.
When considering overall genetic inuences, it should be kept in mind that heritability of a trait in a population is not necessarily static. For example, if important inuential envi­ronmental and behavioral exposures change over time and explain more or less of the population variance in a trait, all else being equal, there will be inverse variations in the herita­bility of the trait. In addition, heritability of a trait may vary
by gender and age. For example, ndings from the previously mentioned twin study of disc degeneration progression in women suggested that genetic inuences on progression of
disc bulging were only clear under the age of 50 years.18 While heritability is an important concept related to the overall magnitude of genetic versus environmental inuences on a trait at the population level, it must be recognized that there is a highly complex interplay between genetic and environ­mental factors, as seen in epigenetics and gene expression, for example.
Beyond heritability estimates, classic twin studies with multivariate analyses have allowed the examination of shared genetic inuences between phenotypes to test hypotheses regarding shared etiologies or possible pathways of genetic inuences on clinical phenotypes. For example, a couple of studies have investigated disc degeneration as one pathway through which genes may inuence back pain reporting. Both studies identied shared genetic inuences between disc degeneration and back pain phenotypes. In one study, signi-
cant genetic correlations were observed for disc degeneration (narrowing) and hospitalization due to back problems, dura­tion of worst back pain episode, and presence of disabling back pain over the prior year, but only a minority of the genetic variance of the pain phenotypes examined was explained by genetic inuences in common with disc degen-
eration.20 Both studies found that while disc degeneration may be one pathway through which genes inuence back pain
19,20
150 BASIC SCIENCE
phenotypes, it would appear to account for only a small portion of genetic inuences on back pain problems at the
population level.
e role of disc degeneration in lumbar range of motion and lordosis has also been investigated in twin studies using multivariate analyses. Findings from the Finnish Twin Spine Study (300 male pairs) suggested that lumbar exion was pre-
dominantly inuenced by genetic factors (64%) and extension to a lesser extent (39%).20 Following an earlier observation of an association between lesser lumbar range of motion and greater disc degeneration aer adjusting for age,21 cor­relations between the genetic components of the phenotypes were examined. e genetic correlations of lumbar extension
and the disc degeneration phenotypes of disc bulging and disc narrowing demonstrated shared genetic inuences (r =
–0.38 to –0.43, respectively).20 us, one pathway through
which genetic inuences appear to aect lumbar extension is through degenerative changes of the spinal motion segment as seen through disc bulging and narrowing, which explained approximately one-h of the genetic inuences on lumbar
extension.
Lumbar lordosis has also been shown to be largely geneti­cally determined in a classic twin study of women from the TwinsUK registry, with a heritability estimate of 59% based on 123 twin pairs. While multivariate analyses were not con­ducted to look specically at shared genetic inuences between lordosis and disc degeneration, more disc degeneration—as indicated by a summary score of disc signal, bulging, narrow­ing, and anterior osteophytes—was found to be strongly associated with less lordosis.
22
Modic Changes
Modic changes are signal variations at the endplate extending into the vertebral body as seen on MRI,23 which have been associated with disc degeneration and back pain. changes are classied into three types. Type 1 is thought to reect edema and is demonstrated by decreased signal on T1-weighted MR images and increased signal on T2-weighted images; type 2, fatty degeneration demonstrated by increased signal on both T1- and T2-weighted images; and type 3, endplate sclerosis with decreased signal on both T1- and T2-weighted images.
A twin study of mostly women from the TwinsUK registry suggests that Modic changes are primarily environmentally determined, with overall genetic inuences on their presence estimated at 30%. However, as only T2-weighted images were available in the study, the presence of type 1 and type 2 Modic changes could not be dierentiated.24 Given that Modic changes are associated with disc degeneration, it could be informative to investigate shared genetic and other inuences to gain insights into the causal pathways and mechanisms of these phenotypes.
e TwinsUK registry study also found that when both Modic changes and a summary disc degeneration variable— including disc signal, narrowing, and osteophytes—was con­sidered in multivariable analysis, only disc degeneration remained in the model explaining “having ever experienced
24,25
Modic
back pain disability lasting more than one day.”24 Yet our preliminary analyses utilizing the Twin Spine Study cohort as a population-based sample of Finnish men suggest that while correlated, both disc degeneration and Modic changes have modest independent contributions to explaining back pain depending on the back pain phenotype. More research is needed to understand the relationships of Modic changes, disc degeneration, and back pain, with careful attention given to the particular case denitions or phenotypes of each.
Schmorl’s Nodes and Endplate Defects
Endplate defects have attracted attention recently as another possible condition or pathology underlying back pain. ere
appear to be several distinct endplate lesion or defect types, which vary in their association with back pain.
26,27
From visual inspection of the osseous endplates of a large cadaveric study, defects were categorized by Wang et al. as Schmorl’s nodes, fractures, erosions, and calcication.
26,27
Unfortunately, chal­lenges in adequately visualizing the endplate on MRI and other clinical imaging modalities create diculties in both
detecting and characterizing endplate defects, but this will likely improve as imaging technologies continue to develop. Presently, given prior and current limitations, endplate defects visualized on MRI are oen lumped into the category of
Schmorl’s nodes.
In another study using the TwinsUK data from over 250 twin pairs, Schmorl’s nodes were found to be common in middle-aged women and highly genetic, as indicated by a heritability estimate of 70%.28 Furthermore, the endplate defects labeled as Schmorl’s nodes were associated with disc degeneration and back pain. However, in multivariable analy­ses, once disc degeneration was in the model, no independent association of Schmorl’s nodes with the back pain phenotype remained. us, the association of the endplate defects with
back pain appeared to be through their association with disc degeneration. A clearer understanding of the interrelationship of endplate defects, disc degeneration, and back pain may require improved imaging and careful attention to the specic
denitions of the imaging and pain phenotypes.
Lumbar Spinal Stenosis
Lumbar spinal stenosis is an increasingly common clinical syndrome responsible for chronic pain and disability in older adults. It is considered to be primarily a degenerative condi­tion, but through an investigation of 299 twin pairs in the Finnish Twin Spine study, the pathoanatomic component was found to be highly genetic.29 e heritability of lumbar spinal
stenosis was estimated at 67% when assessed from the clinical perspective of an experienced spine surgeon using a standard qualitative rating scheme for MRI. When dural sac cross­sectional area was measured quantitatively across lumbar levels at the narrowest point at each disc, the heritability estimate was even higher (81%).
In the sample of Finnish male twins, spinal stenosis as measured at the narrowest point of the spinal canal at the disc level was explained from the best-tting model by additive
Chapter 9 Twin Studies: Elucidating Genetic and Environmental Inuences 151
and dominance genetic inuences as well as unique environ­mental eects, whereas the mean anteroposterior diameter of the bony canal, as measured along the length of the vertebral body, had a particularly strong dominance genetic component, suggesting an inuence of one or more major genes or impor­tant gene–gene interactions. If this is truly the case and is not due to chance uctuation, there may be implications for the search for inuential genes with substantial eects. However, even with a relatively large sample of 598 twins, the study was underpowered to denitively distinguish additive and domi­nance genetic eects simultaneously.
Disc degeneration as measured through disc bulging and stature as a measure of bone size and development were investigated as possible pathways through which genes may be inuencing spinal stenosis. Remarkably, additive genetic inuences on dural sac cross-sectional area (measured at the disc level) were fully shared with those of disc bulging, while dominance genetic inuences were completely independent. is suggests the presence of a set of gene variants with eects that are additive to each other and usually small and another set of gene variants with specic eects that tend to interact with each other, creating larger eects. Consistent with earlier research (other than on achrondroplasia) revealing low cor­relations of bony lumbar vertebral canal size and vertebral body size or stature, skeletal size or development as depicted through standing height had no genetic association with dural sac cross-sectional area.
29
Another interesting nding from the Finnish twin study was that the heritability across lumbar levels diered depend­ing on the particular stenosis phenotype used. e genetic contribution to the variance in qualitatively assessed lumbar spinal stenosis diered signicantly by lumbar level, being less at the lower than upper lumbar levels. Yet, heritability esti­mates were similarly high across all lumbar levels for dural sac cross-sectional area measured quantitatively. is dierence in heritability by spinal level between the surgeon’s qualitative assessments and the quantitative measurements suggest that the spine surgeon’s assessments may be taking other factors into account in determining stenosis beyond dural sac cross­sectional area, which are more aected by environmental inuences in the lower than upper lumbar levels.
While a narrow canal, either central or foraminal, is an essential aspect of the clinical diagnosis of spinal stenosis, ndings on imaging are generally poorly correlated with symptoms and disability. us, it cannot be assumed that the heritability estimates for the pathoanatomic aspects of spinal stenosis will generalize to the clinical syndrome. Furthermore, there are likely to be mediators (e.g., neurovascular or inam­matory factors) that cause symptoms to manifest in the pres­ence of a narrow canal, which may have their own sets of genetic and environmental inuences.
Genetic Versus Environmental Inuences on Back Pain
Back pain phenotypes, while very important, present many research challenges. Among them are the subjective nature of
reported back pain, measuring symptoms that are oen tran­sient and of varying intensity when present, and inaccurate recall. Furthermore, there are no universally accepted case denitions for back pain that have been consistently used across twin and other studies, making it dicult to compare study results and conduct meta-analyses.
Despite the challenges, there have been approximately a dozen twin studies of the heritability of back pain, dened in a variety of ways, coming primarily from developed countries of Northern Europe and Scandinavia.
19,20,30–37
Several years ago Nielsen et al.38 conducted a review of twin studies of pain, which investigated back and neck pain separately from other pain conditions. While they found widely varying heritability estimates ranging from 0% to 68%, when studies of children and the elderly were excluded, estimates were less disparate in the remaining studies of adults. e related meta-analysis of back pain studies yielded an overall heritability estimate of 34% (95% condence interval, 30–39%). ere was also a tendency noted for greater heritability for case denitions involving more severe back pain problems.
20,34
In the aforementioned review, widespread pain and the diagnosis of bromyalgia, which oen includes back pain, had a somewhat higher heritability estimate of around 50% based on available studies.38 Concordant with a higher genetic inu­ence on widespread pain compared to single-site musculoskel­etal pain, a Swedish twin study found a higher heritability estimate for concurrent back and neck pain (60%) than for either when present alone (24–30%).35 However, there have been conicting ndings. Heritability estimates for neck, thoracic, and lumbar pain experienced separately or altogether were similar (32–39%) in a large sample (>15,000) of Danish twins, with lower estimates for various combinations of pain aecting any two spinal regions.
32
Pain comorbidity is common in cases of back pain problems and raises questions about shared genetic or environmental inuences, which can be investigated through twin studies. A few studies from the TwinsUK registry have investigated shared genetic inuences between back pain and pain at other musculoskeletal sites and chronic widespread pain.
37,39
Both studies, using dierent analytic approaches, supported substantial shared genetic inuences between the pain phe­notypes. e authors reported that 39% of the variance in chronic widespread pain and 70% of the variance in low back pain interfering with daily activities due to genetic inuences was attributable to shared genetic eects and that roughly 40% and 67% of the residual variation was caused by shared environmental inuences aecting both pain syndromes.39 Moderate to high genetic correlations for pain in dierent spinal regions (neck, thoracic, and lumbar) have also been found in a large Danish twin study (>15,000).32 e possibility of largely shared inuential gene variants, as well as envi­ronmental factors, between back pain and musculoskeletal pain at various body sites and chronic widespread pain has important implications. Such ndings may point to systemic pain mediators (e.g., inammatory and neurologic) or dif­ferences in pain processing, rather than purely local factors (e.g., disc degeneration) driving pain, which could inform the search for important causal factors and mechanisms that are
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needed to develop more eective preventive and therapeutic interventions.
Specic Environmental and Behavioral Inuences on Disc Degeneration and Back Pain
Exposure-Discordant Twin Studies of Disc Degeneration
When twin studies were rst used in the early 1990s to study the etiology of common spinal conditions, the main suspected risk factors for disc degeneration, pathology, and so-called degenerative disc disease were heavy physical loading (typically occupational), exposure to motorized vehicles and associated whole-body vibration, and cigarette smoking. Eects of height, weight, and genetics were unclear.40 However, there was much conicting evidence and uncertainty related to whether or not these factors did indeed aect the disc, as there were concerns about inadequate control of potentially confounding factors in the available epidemiologic literature. is motivated a series of studies using exposure-discordant MZ twins selected from the Finnish Twin Cohort to examine each of the suspected factors.3 As discussed earlier in this chapter, well-designed, exposure-discordant MZ twin studies provide an exception­ally high degree of control of confounding factors, particularly since genetic inuences on disc degeneration are substantial.
e rst study of this type related to spinal conditions was of the eects of long-term cigarette smoking on disc degenera­tion (disc signal, bulging, and narrowing).41 Findings from the study of 20 MZ twin pairs with an average smoking discor­dance of 32 pack-years revealed greater disc degeneration in smokers as compared to their nonsmoking cotwins. Also, the dierence was present across spinal levels, supporting a mechanism acting systemically. While degeneration was clearly higher in smoking than nonsmoking cotwins (mean, 18%), smoking only explained 2% of the variance in disc degeneration in the study sample. In addition to providing evidence of smoking eects, the study demonstrated the e­ciency of the exposure-discordant twin study design in investigating environmental and behavioral inuences on spinal conditions of multifactorial etiology.
Subsequently, the same design has been used to study the eects of driving and associated whole-body vibration,42 heavy physical workload,3 excessive body weight,43 recalled trauma or injury to the back,44 and various types of exercise on disc degeneration in men.45 e studies of heavy physical loading were remarkable in that despite extreme, long-term contrasts
between cotwins in disc degeneration (e.g., signal, bulging, narrowing) were modest or equivocal. is was also the case for cotwins who had maintained highly discordant body weight43 or were discordant in recalled history of back trauma or injury.44 In 12 twin pairs, in which cotwins had an average contrast of 2300 versus 200 hours of weightliing exercise, there was only slightly more degeneration seen in the mid- to lower thoracic region in the weightliers as compared to their MZ cotwins. A dierence was not observed in the lumbar
region.45 ese ndings suggest that routinely performed heavy occupational and leisure physical activities have a rela­tively minor eect on disc degeneration. Finally, our study of 45 pairs of MZ twins grossly discordant for exposure to driving and associated whole-body vibration revealed no tendency for greater disc degeneration in the drivers, even when consider­ing a range of phenotypes of lumbar degeneration.42 Collec­tively, the studies provided strong evidence raising doubts about whether the main previously suspected environmental risk factors were really important causative factors in disc degeneration.
Cohort and Matched Case-Control Studies of Back Pain
ere have been several exposure-discordant twin studies of various back pain phenotypes embedded in larger twin cohort studies of back pain, such as an investigation of incident low back pain in 1387 elderly Danes, including 86 pairs that were discordant for occasional strenuous activity at baseline.46 e more active elderly twins had signicantly lower risk of developing low back pain of both shorter and longer duration over the following 2 years. We will likely see many more twin studies of back pain using similar combined study designs, as in just the past year combined cohort and case-control designs have been reported investigating the eects of edu­cational attainment,47 obesity and body fat distribution,48 and depression.
49

Summary

Twin studies have been major contributors to the shi away from the long-standing injury or wear-and-tear model of degenerative spinal conditions, in which exposure to heavy occupational and other physical loading factors were viewed as the major determinants. Following consistent evidence from so-called “classic” twin studies, it is now recognized that spinal function, degenerative conditions, pathology, and pain have important genetic inuences. As a result, twin studies have been transformative in changing the research agenda for common spinal disorders.
Furthermore, a combination of cohort, exposure-discordant, and matched case-control twin studies are helping elucidate the eects of suspected environmental factors and have persuasively demonstrated that some factors once thought to have major eects on spinal degeneration (e.g., routine, heavy physical loading) have much more modest inuences. Yet, environmental factors are clearly important, particularly for back pain phenotypes, although the specic factors with major eects remain elusive. Twin studies examining gene– environment interactions, which have not yet been widely utilized in degenerative and other spinal conditions, may shed light on such factors and the complex interplay between genetic and environmental factors that surely exists. Finally, much more attention needs to be given to phenotype denition to enhance the success of future twin and other studies of common spinal disorders.