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Title: ELN and FBN2 gene variants as risk factors for two sportsrelated
musculoskeletal injuries
Creators: El Khoury, L., Posthumus, M., Collins, M., van der Merwe, W.,
Handley, C. J., Cook, J. and Raleigh, S. M.
DOI: 10.1055/s00341390492
Example citation: El Khoury, L., Posthumus, M., Collins, M., van der Merwe,
W., Handley, C. J., Cook, J. and Raleigh, S. M. (2015) ELN and FBN2 gene
variants as risk factors for two sportsrelated musculoskeletal injuries.
International Journal of Sports Medicine. 36(4), pp. 333337. 01724622.
It is advisable to refer to the publisher's version if you intend to cite from this
work.
Version: Accepted version
Official URL: https://www.thieme
connect.com/products/ejournals/abstract/10.1055/s00341390492
Note: © 2016 Georg Thieme Verlag KG
http://nectar.northampton.ac.uk/8000/
1
ELN and FBN2 gene variants as risk factors for two sports related musculoskeletal
2
injuries
3
Abstract
4
The ELN and FBN2 proteins are important in extracellular matrix function. The ELN
5
rs2071307 and FBN2 rs331079 gene variants have been associated with soft tissue
6
pathologies. We aimed to determine whether these variants were predisposing factors for
7
both Achilles tendinopathy (AT) and anterior cruciate ligament (ACL) ruptures.
8
For the AT study, 135 cases (TEN group) and 239 asymptomatic controls were recruited.
9
For the ACL rupture study our cohort consisted of 141 cases (ACL group) and 219 controls.
10
Samples were genotyped for both the ELN rs2071307 and FBN2 rs331079 variants using
11
TaqMan assays. Analysis of variance and chi-squared tests were used to determine whether
12
either variant was associated with AT or ACL rupture with significance set at p<0.05.
13
The GG genotype of the FBN2 variant was significantly over-represented within the TEN
14
group (p=0.035; OR=1.83; 95% CI 1.04–3.25) compared to the CON group. We also found
15
that the frequency of the G allele was significantly different between the TEN (p=0.017;
16
OR=1.90; 95% CI 1.11–3.27) and ACL groups (p=0.047; OR=1.76; 95% CI 1.00–3.10)
17
compared to controls. The ELN rs207137 variant was not associated with either AT or ACL
18
rupture. In conclusion, DNA sequence variation within the FBN2 gene is associated with both
19
AT and ACL rupture.
20
Keywords Gene; Achilles Tendinopathy; Tendon rupture; Ligament rupture; Injury
21
prevention.
22
1
23
Introduction
24
Injury to the Achilles tendon and the anterior cruciate ligament are severe traumas typically
25
sustained during sports activities. Achilles tendon injuries, including chronic Achilles
26
tendinopathy (AT) and acute Achilles tendon rupture, are prevalent within athletic populations
27
[26]. Indeed, the lifetime incidence of AT is approximately 10% in the general population and
28
as high as 50% within competitive runners [12]. Chronic AT may be due, in part, to excessive
29
exposure of the Achilles tendon to acute or repetitive mechanical loading forces experienced
30
during exercise [15]. Anterior cruciate ligament (ACL) ruptures have low lifetime prevalence
31
in the general population but have been reported to be nearly 80% among netball players [7].
32
The most common mechanism of ACL rupture involves a sudden change in an athlete’s
33
direction or rapid deceleration [19]. Both AT and ACL ruptures are complex multifactorial
34
phenotypes with several intrinsic and extrinsic risk factors. However, the exact aetiology is
35
not yet fully understood [3].
36
Among the intrinsic risk factors, several genetic sequence variants have been shown to
37
increase the risk (predispose individuals) to AT and ACL ruptures. Variants within the TNC
38
[3], MMP3 [29], GDF5 [23] and TIMP2 genes [5] are associated with the risk of AT.
39
Furthermore, variants within the COL1A1 [22] and COL12A1 genes [24] have also been
40
associated with ACL ruptures. Interestingly, a variant within the COL5A1 gene was found to
41
be associated with both AT [16] and ACL ruptures [25]. These findings show that both
42
chronic AT and ACL ruptures have a partial polygenic basis where complex interactions
43
between genes and the environment are likely to exacerbate the risk of both types of injuries
44
[3]. All the genes described above encode proteins with either a structural or regulatory role
45
in maintaining the homeostasis of the soft tissue extracellular matrix (ECM). Therefore, it is
46
fair to assume that other genes, which code for additional regulatory components of the ECM
47
might also be candidates for AT and ACL rupture.
2
48
Elastin (ELN) is an insoluble polymer composed of several tropoelastin molecules covalently
49
bound to each other by cross-links [31]. ELN proteins contribute to tendon and ligament
50
elasticity by allowing them to stretch and return to their original state. These proteins have an
51
important load-bearing role in musculoskeletal tissues and are expressed in places where
52
mechanical energy is stored [8]. The ELN rs2071307 gene variant has been shown to be
53
associated with other multifactorial conditions of the extracellular matrix, such as aortic
54
stenosis [6] and aortic aneurysm [33]. Interestingly, the ELN rs2071307 variant is located
55
within exon 20 of the gene and is a non-synonymous SNP. It is predicted to be deleterious
56
(Queen’s University. http://compbio.cs.queensu.ca/F-SNP/) since it substitutes a hydrophobic
57
amino acid glycine with a hydrophilic serine residue (National Center for Biotechnology
58
Information. http://www.ncbi.nlm.nih.gov/projects/SNP/). This substitution may disrupt the
59
integrity of the microfibrils rendering them more prone to damage [18] and therefore this
60
variant may predispose to soft tissue damage during sports performance.
61
Fibrillins are large glycoproteins present in the extracellular matrix of tendons and ligaments
62
[2]. Both fibrillin-1 (FBN-1) and fibrillin-2 (FBN-2) share high amino acid homology and are
63
involved in providing strength and flexibility to various soft tissues. FBN-2 is abundant in
64
elastic tissues, such as tendons and ligaments [35] where it plays an important role in the
65
assembly of elastic fibres [2]. Mutations within the FBN2 gene are known to associate with
66
musculoskeletal
67
Furthermore, the rs331079 variant located within intron 7 of the gene (University of Florida.
68
www.snpper.chip.org) has previously been associated with intracranial aneurysms [32].
69
As both the FBN2 rs331079 and the ELN rs2071307 variants associate with other conditions
70
related to the extracellular matrix we considered them as possible risk determinants for both
71
AT and ACL rupture. Accordingly, the aim of this study was to test that hypothesis.
pathologies
such
as
congenital
contractural
arachnodactyly
[9].
72
3
73
Material and Methods
74
One hundred and thirty five (60 Australian (AUS) and 75 South African (SA)) Caucasian
75
participants with Achilles tendinopathy (TEN group) were recruited to this study from the
76
Musculoskeletal Research Centre at La Trobe University in Melbourne, and from the Medical
77
Practice at the Sports Science Institute of South Africa. Furthermore, 239 (143 AUS and 96
78
SA) asymptomatic Caucasian controls (CON groups) were recruited to this study from
79
recreational sports clubs within the Melbourne area in Australia, and within the Cape Town
80
area in South Africa. Chronic AT was clinically diagnosed as described by Mokone et al.[17]
81
in the first manuscript describing the South African AT cohort. The Australian cohort used the
82
same clinical diagnosis described by Mokone et al. In addition, diagnosis was confirmed with
83
soft tissue ultrasound examination in all the AUS and 40 of 75 SA participants. In addition,
84
141 South African Caucasian participants with surgically diagnosed ACL ruptures (ACL
85
group) and 219 apparently healthy (CON group), unrelated, physically active, gender
86
matched South African Caucasian participants without any self-reported history of ligament
87
or tendon injury were recruited for this study as previously described [22]. Seventy four
88
participants sustained the injury through a non-contact mechanism and were analysed as a
89
separate subgroup (NON subgroup).
90
Previous injury data was used as inclusion criteria in the various cohorts analysed. In the
91
AUS Achilles cohort, the CON group had no history of any tendon injury, whereas in the SA
92
Achilles cohort, the CON group merely had no previous history of Achilles tendon injuries. In
93
the case of ACL rupture, the first ACL rupture was documented as the specific inclusion
94
injury. Therefore, by definition, no participant in the ACL group had a previous ACL rupture
95
None of the participants included in this study had symptoms or signs of Ehlers-Danlos
96
syndrome (EDS), hypermobility or benign hypermobility joint syndrome or other monogenic
97
connective tissue disorders when their medical examinations were reviewed by the medical
98
practitioner [16,17,34].
4
99
Physical activity data was recorded for the South African Achilles tendinopathy cohort (SA
100
CON and SA TEN), but not for the Australian Achilles tendinopathy cohort (AUS CON and
101
AUS TEN). In addition physical activity data was also recorded for the South African ACL
102
cohort (SA ACL and SA CON). The data recorded for the SA CON and SA TEN groups
103
included total years participated in running and high impact sports, as well as hours per week
104
of participation in the last 2 years. The data reported for the ACL cohort included years of
105
participation in contact sports, non-contact jumping sports, non-contact non-jumping sports
106
and skiing sports, .Data were collected as previously described [16, 25].
107
Based on our earlier work, this study had a large enough sample size to detect associations
108
with an OR of 2.0 at p<0.05 with 80% power [28]. All participants gave informed written
109
consent, in accordance with the journal’s recommendations [10,11], and all completed a
110
medical and injury history questionnaire. Ethical approval was obtained from the Research
111
Ethics Committees at the University of Cape Town, South Africa, La Trobe University,
112
Australia, Monash University, Australia and the University of Northampton, United Kingdom
113
prior to initiating this work.
114
For the Australian cohort, DNA was extracted from whole blood using Qiagen DNA extraction
115
kits (Flexigene DNA kit, Qiagen P/L, Valencia, California, USA) as per the manufacturer’s
116
recommendations. DNA from the South African individuals was extracted from blood using
117
the method described by Lahiri and Nurnberg [14] and modified by Mokone et. al. [16,17].
118
Upon extraction, DNA was frozen at -20 °C for long-term storage, and smaller aliquots were
119
stored at 4 °C for short term usage.
120
DNA from all participants was genotyped for the FBN2 rs331079 and ELN rs2071307 gene
121
variants using fluorescence-based TaqMan assays (Applied Biosystems, Foster City, CA,
122
USA). PCR reactions contained allele-specific probes and primers in a PCR mastermix
123
containing AmpliTaq DNA Polymerase Gold (Applied Biosystems, Foster City, CA, USA) in a
124
total reaction volume of 12 μL. PCR was performed on an Applied Biosystems
5
125
StepOnePlusTM real-time PCR system (Applied Biosystems, Foster City, CA, USA).
126
Genotypes were called according to output clustering profiles using Applied Biosystems
127
StepOnePlusTM real-time PCR software Version 2.1 (Applied Biosystems, Foster City, CA,
128
USA). Rox was used as a passive reference to normalise fluorescence signal intensity
129
relative to the amount of sample used.
130
The
131
(http://hydra.usc.edu/gxe). The initial calculations were done using a recessive model and a
132
disease population prevalence of 10%. Assuming a risk allele frequency of 60%, a matched
133
case-control population of 136 individuals per group was adequate to detect an allelic OR of
134
2.0 at a power of 80% and a significance level of 5%.
135
Data were analysed using SPSS Version 20 (SPSS Science Inc, Chicago, Ill, USA) statistical
136
program. A one-way analysis of variance was used to establish if any significant difference
137
existed between the characteristics of the TEN and CON groups within the Australian and
138
South African cohorts as well as between the ACL rupture and CON groups. A chi-squared
139
(2) analysis or Fisher’s exact test was used to determine if significance differences existed
140
between genotype and/or allele frequencies, as well as other categorical data between the
141
groups. In all analysis significance was accepted when p<0.05. Adjustments for multiple
142
testing were not conducted as it has been previously described [21] that no appropriate
143
method exists. Furthermore, the Bonferroni adjustment was considered too conservative [21]
144
and inappropriate for a situation like this where there is prior evidence that the gene of
145
interest is associated with a trait [20]. Hardy-Weinberg equilibrium was determined using the
146
program Genepop web version 3.4 (Curtin University. http://genepop.curtin.edu.au/).
statistical
power
of
the
study
was
determined
using
Quanto
v1.2
147
6
148
Results
149
Running was the predominant sporting activity resulting in Achilles tendon injuries (63.1%,
150
N=65) in the SA cohort. The SA groups were matched for the mean number of years
151
participating in running (CON, 8.7 ± 8.2 yrs, n=95; TEN, 10.0 ± 11.0 yrs, n=62; p=0.402).
152
However, there was a significant difference in hours of training between the two groups
153
(CON, 3.6 ± 3.0 hrs/week, n=91; TEN, 2.4 ± 2.7 hrs/week, n=55; p=0.011), where the SA
154
CON group trained for more hours per week. The SA TEN participants participated in more
155
years of high impact sports compared to the SA CON group in the past (CON, 9.4 ± 8.4 yrs,
156
n=95; TEN, 13.1 ± 11.1 yrs, n=62; p=0.018), however, the SA CON group performed a
157
greater amount of high impact sports during the last 2 years (CON, 3.6 ± 3.1 yrs, n=95; TEN,
158
2.5 ± 12.9 yrs, N=62; p=0.029. Although all AUS participants were physically active
159
individuals, the type of sporting activity involved in, the hours of training and the frequency of
160
activity were not recorded.
161
The SA ACL and SA CON groups were matched for years of participation in contact sports
162
(SA CON, 11.7 ± 7.1 yrs, n=219; SA ACL, 11.5 ± 8.0 yrs, n=141; p=0.892), non-contact
163
jumping sports (SA CON, 27.8 ± 19.9 yrs, n=190; SA ACL, 25.7 ± 22.6 yrs, n=141; p=0.398),
164
non-contact non-jumping sports (SA CON, 11.5 ± 7.1 yrs, n=219; SA ACL, 10.5 ± 8.5 yrs,
165
n=141; p=0.575), and skiing sports (SA CON, 19.1 ± 16.9 yrs, n=219; SA ACL, 8.6 ± 8.5 yrs,
166
n=141; p=0.094).
167
Since the ELN rs2071307 and FBN2 rs331079 allele and genotype frequencies in both of the
168
South African (SA) and Australian (AUS) TEN and CON groups were similar (Supplementary
169
table 1), the data was collectively analysed. The CON and TEN groups were similarly
170
matched for age and gender (Table 1).
171
similarly matched for height. Furthermore, when co-varied for sex and age at recruitment, the
172
TEN group was found to be significantly heavier (p<0.001) with larger BMIs (p<0.001) (Table
173
1). The TEN group was recruited on average 5.1 years after the initial injury.
When co-varied for sex, the two groups were
7
174
Participants in the AUS TEN group carrying the ELN rs2071307 AA (53.1 ± 11.6, n=10)
175
genotype were significantly (p=0.005) older when they reported their initial Achilles tendon
176
injury when compared to those with a GG (37.2 ± 12.6, n=16) or GA (37.8 ± 13.6, n=32)
177
genotype. There were, however, no significant differences in the mean ages of the three
178
genotype groups in the CON AUS group (GG: 40.7 ± 11.8, n=48; GA: 37.4 ± 12.2, n=68; AA:
179
40.1 ± 12.1, n=24; p=0.323). There were no other significant genotype effects of either
180
variants with respect to height, weight, BMI, or sex in the AT group (data not shown).
181
Furthermore, the investigated variants did not show any interaction with age, height, weight,
182
BMI and sex in the ACL population (data not shown).
183
The genotype frequency distributions of the FBN2 rs331079 and the ELN rs2071307 variants
184
within the AT and the ACL rupture groups are shown in table 2. In the combined TEN cohort,
185
the FBN2 rs331079 genotype frequency was significantly different (p=0.035) between the
186
CON (GG, 76.9%; GC + CC, 23.1%) and TEN (GG, 85.9%; GC + CC, 14.1%) groups (Table
187
2). The GG genotype was significantly over-represented within the TEN group (p=0.035;
188
OR=1.83; 95% CI 1.04 – 3.25). We also found a significant (p=0.017; OR=1.90; 95% CI 1.11
189
– 3.27) allele frequency distribution difference for the FBN2 rs331079 variant between the
190
CON (G, 87.4%; C, 12.6%) and TEN (G, 93.0%; C, 7.0%) groups (Table 2). Similarly, we
191
also found a significant (p=0.047; OR=1.76; 95% CI 1.00 – 3.10) allele frequency distribution
192
difference of the rs331079 locus between the CON (G, 89.3%; C, 10.7) and ACL (G, 93.6%;
193
C, 6.4%) groups. Also, in the AT population, there were no significant ELN rs2071307
194
genotype (p=0.795) or allelic (p=0.741) frequency differences between the CON and TEN
195
groups (Table 2).
196
Although not significant, we found a tendency towards an allelic (p=0.064) association for the
197
ELN rs2071307 variant and a tendency towards a genotypic (p=0.075; p=0.112) association
198
between the CON and ACL groups for the FBN2 rs331079 and ELN rs2071307 variants
199
respectively. There were no genotypic or allelic associations between the CON and NON
8
200
subgroup. Furthermore, these gene variants did not show any significant distribution
201
difference when participants were grouped into genders (data not shown).
202
Discussion
203
We have shown that the FBN2 rs331079 variant is significantly associated with the risk of
204
both AT and ACL rupture. Specifically, the GG genotype was over-represented in
205
participants with chronic AT and the G allele was over-represented in both pathologies.
206
Therefore, it appears that individuals carrying the G allele or the GG genotype are
207
approximately twice as likely to develop either of the two injuries. Interestingly this same
208
variant has recently been shown to associate with intracranial aneurysms in a Dutch
209
population [32]. However, in the Dutch study it was the C allele that was found to be the risk
210
factor as opposed to the G allele. It is noteworthy that FBN2 mRNA levels have been shown
211
to be elevated in rat Achilles tendon undergoing repair with expression of FBN2 reported to
212
be increased for ten days post injury [13]. Similarly, an increase in the expression of FBN2
213
has been found in other pathologies such as mitral valve prolapse [27].
214
ELN and FBN-2 are known to form a network of microfibrils that maintains the tendon
215
architecture [31]. An increase in FBN-2 levels might be expected to increase the density of
216
the tendon and lead to an increase in tendon stiffness and rigidity possibly affecting the
217
compliance of the tendon to muscle movement [4]. On the other hand, a decrease in FBN-2
218
levels could result in weaker tendons caused by structural deficiencies in the microfibril
219
network [30]. Impairment of the function of FBN-2 is believed to be a major determinant of
220
microfibrillopathy [30] which is speculated to precede a tendinopathy. Furthermore, the
221
increase in FBN2 expression levels observed during tendon repair [13] is consistent with an
222
important role for FBN-2 in maintaining the tendon’s architectural integrity.
223
Mutations such as the G3532T and G3590A substitutions have been found within the FBN2
224
gene that lead to the development of connective tissue disorders such as congenital
225
contractural arachnodactyly [9]. The rs331079 variant that we investigated in this study
9
226
resides
227
www.snpper.chip.org). Although intronic variants do not determine the primary sequence of
228
a protein molecule [1], they may have other, hitherto, undiscovered roles that are necessary
229
for appropriate expression of protein molecules. However, at present the functionality of this
230
variant has not been described and therefore we do not know why it predisposes individuals
231
to AT and ACL rupture. The rs331079 variant is known to be part of a linkage block in
232
Caucasians and is in high linkage disequilibrium (D'=1) with the FBN2 rs331081, rs331082,
233
and rs331085 variants (Wellcome Trust Sanger Institute. www.ensembl.com). All three of
234
these additional variants are also located within intron 7 of the FBN2 gene (University of
235
Florida. www.snpper.chip.org). The linkage disequilibrium between the rs331079 variant that
236
we investigated and rs331081, rs331082, and rs331085 means that it is conceivable that one
237
of these linked variants may also have a role in predisposing to AT or ACL.
238
Our data do not support an association between the ELN rs2071307 variant and either AT or
239
ACL ruptures. It is interesting to note however, that although we found no relationship
240
between this variant and either pathology; the rs2071307 SNP is a non-synonymous and
241
possibly deleterious polymorphism (Queen’s University. http://compbio.cs.queensu.ca/F-
242
SNP/) which results in a change of amino acid from hydrophobic glycine to hydrophilic serine
243
(University of Florida. www.snpper.chip.org). It is possible of course, that other variants
244
within this gene may be associated with either AT or ACL ruptures.
245
Although our study found a significant association between the FBN2 rs331079 G allele and
246
the risk of AT and ACL rupture, the work has some limitations. Firstly, although our SA
247
cohorts (both TEN and ACL rupture groups) were matched for some aspects of physical
248
activity there were some differences in training behaviour and previous exposure to high
249
impact sports for the TEN cohort.. Secondly, we did not have detailed information on sports
250
history for the Australian cohort. Levels of physical activity should be accurately documented
251
in future studies.Furthermore, although the study was sufficiently powered to detect
252
associations with relatively large effects it should be repeated in bigger cohorts. Likewise,
within
an
intronic
region
of
the
FBN2
gene
(University
of
Florida.
10
253
additional association studies should be carried out in populations of different ethnicities
254
showing different minor allele frequencies for the rs331079 (African, 3%; European, 10%; ad-
255
mixed American, 28%; East Asian, 7%) and the rs2071307 (African, 26%; European, 39%;
256
ad-mixed
257
www.1000genomes.org).
258
Finally, the findings from this study advance our understanding of the polygenic basis of
259
musculoskeletal injuries. We suggest that the FBN2 rs331079 variant should be considered
260
as an additional genetic locus to include in an injury risk assessment model that might be
261
used to identify athletes who are predisposed to AT and ACL ruptures.
American,
30%;
East
Asian,
14%)
variants
(1000
Genomes
Project,
262
11
263
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List of legends
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Table 1: General characteristics of the Achilles tendinopathy group (TEN), the anterior
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cruciate ligament rupture group (ACL), and the ACL subgroup with the non-contact (NON)
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mechanism of injury as well as their respective control groups.
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Table 2: The genotype and allele frequency distribution of the two selected candidate
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variants within the Achilles tendinopathy (TEN), ACL ruptures (ACL) and their respective
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asymptomatic control (CON) groups.
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