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Abstract
Multiple sclerosis (MS) is an inflammatory autoimmune disease affecting the central nervous system (CNS). The pathogenesis of MS is characterized by neuronal axonal degeneration and demyelination. Among the genes that raises MS risk are the HLA-class II genes. The goals of this study were to investigate the role of the HLA-DRB1 and HLA-DQB1 genes (for the first time) in Jordanian MS patients and their association with MS disease. The association of these genes with other clinical features, such as optic neuritis, sensory impairment, and brainstem symptoms in MS patients was investigated as well using PCR-SSP techniques. Our findings indicated an association between HLA-DRB1 * 03:01 (Pc = 0.01) and HLA-DRB1 * 04:01 (Pc = 0.004) alleles with Jordanian MS patients. In addition, a significant linkage between HLA-DRB1 * 15:01 and HLA-DQB1 * 06:01 alleles (Pc ≤ 0.001 and Pc = 0.012, respectively) were presented among Jordanian MS patients with optic neuritis compared to Jordanian MS patients without optic neuritis. Moreover, HLA-DQB1 * 05:01 and HLA-DQB1 * 06:02 alleles (Pc ≤ 0.001 and Pc = 0.006, respectively) was found to be related with sensory impairment in MS patients. Additionally, HLA-DRB1 * 07:01 allele indicates a positive correlation in MS patients with brainstem symptoms (Pc < 0.001). Moreover, our results indicated that there is no association on the HLA-DRB1 ~ HLA-DQB1 haplotype level and MS disease. Knowing the genes that are linked to MS, they may facilitate MS diagnosis, prevention, and treatment at earlier stage. Also, these results may serve in the development of more potent therapeutic regimens for MS and its related complications, such as optic neuritis, sensory impairment, and brainstem symptoms.
Citation: Khdair SI, Al-Khareisha L, Abusara OH, Hammad AM, Khudair A (2025) HLA-class II genes association with multiple sclerosis: An immunogenetic prediction among multiple sclerosis Jordanian patients. PLoS ONE 20(2): e0318824. https://doi.org/10.1371/journal.pone.0318824
Editor: Sreeram V. Ramagopalan, University of Oxford, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
Received: November 17, 2024; Accepted: January 21, 2025; Published: February 25, 2025
Copyright: © 2025 Khdair et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The project was fully funded from Al-Zaytoonah University of Jordan grants (Grants numbers: 31/11/2020-2021 and 58/17/2022-2023). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: There are no competing interests to declare.
1. Introduction
Multiple sclerosis (MS) is an inflammation in which the nerve cells in the central nervous system (CNS) are affected leading to the disease state. Demyelination and neuroaxonal damage are the hallmarks of MS, which cause a variety of signs and symptoms, such as optic neuritis and physical disability [1]. Young adults are more susceptible to MS, in which females are impacted almost three times as frequently as males [2]. Worldwide, the predictable number of people with MS is over 1.8 million [3].
Environmental and genetic factors can both affect the likelihood of developing the disease. As for the environmental factors, the most well-known include vitamin D status, smoking, and Epstein-Barr virus [4]. Numerous studies have reported that there are genetic association between MS and major histocompatibility complex (MHC) genes, such as class II Human Leukocyte Antigen (HLA)-DR alleles being of great interest [5–7]. A study by the International Multiple Sclerosis Genetics Consortium has documented that there are more than 200 risk genetic variants that contribute to MS, but the HLA alleles remain the strongest being linked to MS [8]. In addition, a longitudinal review study which include 72 published articles (1993-2004) was completed by Human Genome Epidemiology has showed that MHC class II region, notably individuals with HLA-DRB1 * 15:01 allele, was in high risk to MS [9,10].
Antigen presentation on the surface of various cells can be due to MHC class II genes. These cells include dendritic cells, macrophages, and other immune cells. Collectively, these cells are known as antigen presenting cells (APCs). In autoimmune disease, MHC class II molecules -inappropriately- have the ability to be expressed on other cell types, such as astrocytes and oligodendrocytes in the brain [11–13]. Nevertheless, the mechanism of susceptibility to MS via MHC class II genes in unknown. However, one of the suggested mechanisms that explain the role of HLA-DRB1 * 15:01 allele in MS pathogenesis is that the Myelin Basic Protein (MBP), myelin oligodendrocyte glycoprotein, and proteolipid protein are three primary potential antigens for MS. Human MBP has received the most attention in studies that deal with the immune response against myelin antigens. Several studies (based on the structural theory) mentioned that the expression of HLA-DRB1 * 15:01 allele in MS patients had an immunodominant response to residues 84-102 of human MBP. Within the residues 85-99 of MPB; valine residue at location 89 and phenylalanine residue at location 92 were discovered to be located in the P1 and P4 anchor residues of the HLA-DRB1 * 15:01 peptide binding groove [10,14,15]. In a recent study, HLA-DR * 15 allele subtypes have been shown to work as an autoreactive T cell repertoire, in which the HLA-DRB1 * 15 allele’s immunopeptidome presenting the foreign peptides and self-antigens are same as to autoreactive CD4 + T cells in MS [16].
MS affects many people in different geographical areas. For example, in North America, Western Europe, and Australasia, there are claims to be more than 100 cases per 100,000 individuals [17]. In terms of MS risk zones, countries of the Middle East and North Africa (MENA) region are considered part of the low- to moderate-intensity zone [18], and there is a scarcity of information of MS prevalence in Arab countries including Jordan.
Our study is the first one in terms of investigating the association of HLA-DRB1 and HLA-DQB1 allele polymorphisms and HLA-DRB1 ~ HLA-DQB1 haplotypes with MS disease among Jordanian MS patients compared to healthy participants. In addition, we studied the linkage of HLA-DRB1 and HLA-DQB1 allele polymorphisms and HLA-DRB1 ~ HLA-DQB1 haplotypes with different clinical features of MS, such as optic neuritis, sensory impairment, and brainstem symptoms in Jordanian MS patients.
2. Materials and methods
2.1. Sample collection
A total of 75 healthy participants representing the control group and 65 MS patients were involved in our study. The inclusion criteria for this study were that all volunteers should be Jordanians and not relatives. A questionnaire was distributed among healthy participants for the purpose of fulfilling their inclusion and exclusion criteria. A family history of autoimmune diseases was exclusion criteria for healthy participants. MS patients were all Jordanians and were enrolled from neuro-medicine clinic at Al-Bashir Hospital, Amman, Jordan from February 2022 to November 2022. Whereas the exclusion criterion is that for patients who have other autoimmune diseases apart from MS. MS patients’ information were obtained from their records at the neuro-medicine clinic at Al-Bashir Hospital, Amman, Jordan. MS patients were diagnosed according to McDonald diagnostic criteria [19]. About 3 ml of blood was collected in ethylenediaminetetraacetic acid tubes (EDTA) from each volunteer after signing a consent form. The Ministry of Health, Amman, Jordan granted its approval for the conduction of the study (Institutional Review Board number: 263/2021).
2.2. DNA extraction and HLA genotyping
The DNA was extracted from the 3 mL blood sample collected from individuals using the Wizard® Kit (Promega, USA) according to manufacturer’s protocol. Briefly, it involves a four-stage technique to extract DNA from buffy coat of white blood cells after centrifugation. These are accomplished by the Cell Lysis Solution and the Nuclei Lysis Solution to lyse the red blood cells and white blood cells along with their nuclei, respectively, and then a salt-precipitation step to precipitate and remove the cellular proteins while the high molecular weight genomic DNA being present in the solution. Lastly, the genomic DNA is concentrated and desalted using an isopropanol solution. The purity of the DNA sample was assessed using a Nano-Drop spectrophotometer (Quawell, Canada). The amount of DNA used was around 45 ng and its purity was determined at the wavelengths A260/A280 nm, which were between 1.8 and 2.0. Genetic Constitution of HLA-DRB1 and HLA-DQB1 alleles was achieved via PCR-SSP using One Lamda (generic and high resolution) Micro SSP™ Typing Trays (Thermo Fisher Scientific Inc., USA) according to manufacturer’s protocol.
2.3. Statistical analyses
SPSS version 26 software (IBM Analytics, USA) was used to carry out the statistical analyses as discussed before [20]. Chi-square test was used to examine differences in HLA-DRB1 and HLA-DQB1 allele and haplotype frequencies (%) between MS and the healthy group. The odds ratio (OR) and 95% Confidence Interval (CI) were used to express the relative risk and p values under 0.05 were used to determine the significance of the results. In addition, following Chi-square analysis P value with less than 0.05, was corrected according to adjusted residual value. Bonferroni multiple comparison test was performed to correct the calculated P values. This was done in order to decrease Type I error [21]. Corrected P Values (Pc) below 0.013 was determined significant [22].
3. Results
3.1. Clinical characteristics of the volunteers
The age for MS patients involved in the study ranged from 19 to 58 years (mean age = 36.85 ± 9.5). The gender ratio representing female to male patients (F/M) was 1.5. The mean age of MS onset was 33.13 years. However, the average age of the control group was 26.17 years ± 6.02 and the gender ratio F/M was 0.66. The clinical parameters for the healthy volunteers and MS patients in this study are presented in Table 1.
3.2. HLA-DRB1 and HLA-DQB1 alleles within MS patients and healthy control group
A significant difference between MS patients and healthy individuals in the following HLA-DRB1 class II alleles were observed: HLA-DRB1 * 03:01 (Pc = 0.01) and HLA-DRB1 * 04:01 (Pc = 0.004) are linked positively to MS, with a frequency of 19.2% and 5.4%, respectively, compared to the control group, 8.7% and 0%, respectively (Table 2). While HLA-DRB1 * 04:03 (Pc = 0.001) allele showed a negative association with MS (Table 2).
HLA-DQB1 alleles’ frequency is shown in Table 3. Our results presented no association in MS group compared to the control group, but HLA-DQB1 * 06:03 (Pc = 0.002) may be suggested as protective allele since it linked to the control group.
3.3. HLA-DRB1 ~ HLA-DQB1 haplotype within MS patients and healthy control group
For haplotypes, no parents’ samples were accessible. The HLA haplotype approximation was accomplished by HaploStats software based on haplotype frequencies. Our results showed no statistical significance in HLA-DRB1 ~ HLA-DQB1 haplotype in MS patients (Table 4). The following HLA-DRB1 ~ HLA-DQB1 haplotypes showed statistical significance in control group in comparison to MS patients: HLA-DRB1 * 04:03 ~ HLA-DQB1 * 03:02 (Pc = 0.004) and HLA-DRB1 * 13:01 ~ HLA-DQB1 * 06:03 (Pc = 0.002) (Table 4).
3.4. Association between HLA-DRB1 and HLA-DQB1 alleles and HLA-DRB1 ~ HLA-DQB1 haplotype within MS patients (intra group)
The HLA-DRB1 * 03:01, HLA-DRB1 * 11:01, and HLA-DRB1 * 15:01 alleles were the most frequently observed in MS patients who have optic neuritis. However, a statistically significant association was observed among MS patients with optic neuritis in the HLA-DRB1 * 15:01 (Pc < 0.001) (S1 Table). Furthermore, HLA-DQB1 * 06:01 (Pc = 0.012) allele showed positive association with MS with optic neuritis, with a frequency of 10.9% in MS patients with optic neuritis and 2.4% in MS patients without optic neuritis (S1 Table). Additionally, our data showed no association in HLA-DRB1 ~ HLA-DQB1 haplotype among MS group with optic neuritis (S2 Table). While the HLA-DRB1 * 03:01, HLA-DRB1 * 11:01, and HLA-DRB1 * 15:01 alleles were the most frequently observed in MS patients with sensory impairment, but they do not reach a statistically significant association (S3 Table). Moreover, HLA-DQB1 * 05:01 and HLA-DQB1 * 06:02 alleles also demonstrated a positive correlation with MS with sensory impairment with Pc values of Pc < 0.001 and Pc = 0.006, respectively (S3 Table). Additionally, HLA-DRB1 * 07:01 allele indicated a positive correlation in MS with brainstem symptoms with Pc value < 0.001 (S4 Table).
4. Discussion
MS is a chronic inflammatory disease that impairs the CNS function of young people. This work is considered the first in terms of studying the association of HLA class II genes among Jordanian MS patients compared to healthy individuals. In addition, we studied the association of HLA class II genes in MS patients with different clinical features, such as optic neuritis, sensory impairment, and brainstem symptoms. Our findings showed a significant association between MS patients and HLA-DRB1 * 03:01 and HLA-DRB1 * 04:01 alleles in comparison to the control healthy group, which indicate that these alleles are associated with MS disease among Jordanians. On the contrary, the suggested protective HLA-DRB1 allele is HLA-DRB1 * 04:03 as well as HLA-DQB1 * 06:03 allele.
Regarding the association of HLA-DRB1 * 03:01 with Jordanian MS patients, this finding aligns with several previous studies that has been conducted in Sardinian, Australian, and African-American populations [23–25]. Moreover, our study has demonstrated that HLA-DRB1 * 0401 allele influence MS susceptibility in Jordanian patients, which is similar to other studies being performed in Australian and Caucasians populations [24,26]. In addition, our results revealed strong association between HLA-DRB1 * 15:01 allele and MS with optic neuritis. This result is comparable with other studies that have been conducted consistently in different populations from Europe, Africa, and Latin America. They have shown that MS is associated with HLA-DRB1 * 15:01 allele of HLA class II gene, as well as HLA-DRB1 * 15 displayed a stronger association among Americans [27–29].
Furthermore, several studies have been conducted in the MENA countries, such as the Arabian Gulf, Iranian, Tunisian, and Saudi MS patients, and showed that HLA-DRB1 * 15:01 is high risk with MS disease [30–33]. In contrast, a study showed no association between HLA-DRB1 * 15:01 and MS among Bahraini patients [34]. Also, our results presented that HLA-DRB1 * 04:03 has protective effects for MS disease among Jordanians. On the other hand, previous work from Sweden and Italy have demonstrated the protective effects of HLA-DRB1 * 07:01 [6,35]. Additionally, regarding HLA-DQB1 alleles, our results indicated that HLA-DQB1 * 06:03 allele has protective effect to MS disease since this allele was completely absent among MS patients. In addition, regarding HLA haplotype level, according to earlier work in Caucasians that has shown that HLA class II haplotype with the strongest correlation with MS is HLA-DRB1 * 15:01 ~ HLA-DQB1 * 06:02 [31]. Our results revealed no association on the haplotype level with MS disease.
Moreover, an intra-group analysis in our study was conducted to show which HLA class II alleles contribute to MS clinical features susceptibility or have protective effect against these features. This was achieved by comparing the expression of HLA subtypes alleles between MS patients based on their clinical features. The analysis showed that a significant link between optic neuritis in MS patients and HLA-DRB1 * 15:01 and HLA-DQB1 * 06:01 alleles compared to MS group without optic neuritis. Similarly, the same result was obtained in Japanese MS patients [36]. However, Deschamps et al. reported that HLA-DRB1 * 15 did not significantly affect the risk of optic neuritis in French population, compared to the control group, although it was linked to a higher susceptibility to MS [37]. While in other MS populations in the Netherlands and India demonstrated that HLA-DRB1 * 03:01 allele is linked with optic neuritis [38–40]. Several HLA class II alleles has also been shown to be associated with optic neuritis, such as HLA-DRB1 * 16:02 in China and HLA-DRB1 * 04:05 in South Brazil [26,41]. Also, our study revealed a significant association between the sensory impairment and HLA-DQB1 * 05:01 and HLA-DQB1 * 06:02 alleles but there is no linkage with HLA-DRB1 alleles. While HLA-DRB1 * 01:01 allele decreased the spinal cord involvement and sensory impairment manifestation in Japanese MS patients, a reduction of brainstem symptoms was linked to HLA-DRB1 * 09:01 and HLA-DRB1 * 13:02 [36]. On the other hand, our results suggested that HLA-DRB1 * 07:01 is positively associated with brainstem symptoms in Jordanian MS patients. Genetic ethnic diversity along with differences in populations and geographic areas may be attributed to the variations in the results. All in all, we admit that the current study has some limitations, such as small sample size and the variation in gender distribution among the studied groups. Nevertheless, to the best of our knowledge, this is the first study in Jordan, to highlight the influence of HLA class II genes in Jordanian MS patients. However, further studies with larger sample size are needed. In addition, to best of our knowledge, there are no studies that have reported the difference in association between HLA genes and gender in MS patients, hence, future studies to include such investigations between males and females would be useful. So far, the results of our study can be used as preliminary study until replicated in a larger sample size in the future work.
5. Conclusions
In conclusion, HLA-DRB1 * 03:01, HLA-DRB1 * 04:01 alleles are reported as risk factors for Jordanians MS patients, according to our analysis of the HLA class II immunogenetic profile of MS patients in Jordan. These alleles could therefore be used as potential predictive indicators for early MS risk screening. Furthermore, these alleles have positive association with different autoimmune diseases among Jordanians, such as systemic lupus erythematous and juvenile diabetes as was reported in our previous studies [42,43]. Moreover, there are different HLA class II genes among Jordanians MS patients that are linked with several MS manifestations, such as: the HLA-DRB1 * 15:01 and HLA-DQB1 * 06:01 alleles increase the likelihood of optic neuritis, HLA-DRB1 * 07:01 is linked to brainstem symptoms, and sensory impairment was linked with HLA-DQB1 * 05:01 and HLA-DQB1 * 06:02 alleles. Knowing how these genotypes work may also help in the development of more potent therapy regimens for MS and its related problems, such as optic neuritis, sensory impairment, and brainstem symptoms. Understanding the etiology and progression of MS is important for the prevention, diagnosis, and clinical management of aforementioned disorders associated with MS. It is necessary to study additional genetic markers that are thought to be candidate risk genes for Jordanian MS patients in order to further understand the disease’s pathogenesis.
Supporting Information
S1 Table. Frequency of HLA-DRB1 and HLA-DQB1 allele among MS patients with optic neuritis and without optic neuritis.
N: number of volunteers, Pc: Corrected P value ≤ 0.013 OR: odds ratio, CI: Confidence Interval.
https://doi.org/10.1371/journal.pone.0318824.s001
(DOCX)
S2 Table. The frequency of HLA-DRB1 ~ HLA-DQB1 haplotype among MS patients with and without optic neuritis in Jordanian population.
N: number of volunteers, Pc: Corrected P value ≤ 0.013 OR: odds ratio, CI: Confidence Interval.
https://doi.org/10.1371/journal.pone.0318824.s002
(DOCX)
S3 Table. The frequency of HLA-DRB1 and HLA-DQB1 alleles among MS patients with sensory impairment and without sensory impairment.
N: number of volunteers, Pc: Corrected P value ≤ 0.013 OR: odds ratio, CI: Confidence Interval.
https://doi.org/10.1371/journal.pone.0318824.s003
(DOCX)
S4 Table. Frequency of HLA-DRB1 alleles among MS patients with brainstem symptoms and without brainstem symptoms.
N: number of volunteers, Pc: Corrected P value ≤ 0.013 OR: odds ratio, CI: Confidence Interval.
https://doi.org/10.1371/journal.pone.0318824.s004
(DOCX)
Acknowledgments
The authors would like to thank all the volunteers who took apart in this study, as well as all the team in neuro-medicine clinic at Al-Bashir Hospital, Amman for their help in collecting the samples.
References
- 1. McGinley MP, Goldschmidt CH, Rae-Grant AD. Diagnosis and treatment of multiple sclerosis: a review. JAMA. 2021;325(8):765–79. pmid:33620411
- 2. Ghanavati R, Shafiei M, Galehdari H. Association between HLA-A*02 genotype and multiple sclerosis in khuzestan province, Iran. Jundishapur J Health Sci. 2018;10(2):e59769.
- 3. WHO. Multiple sclerosis 2023 [cited 2024 19 March. ]. Available from: https://www.who.int/news-room/fact-sheets/detail/multiple-sclerosis
- 4. Belbasis L, Bellou V, Evangelou E, Ioannidis JP, Tzoulaki I. Environmental risk factors and multiple sclerosis: an umbrella review of systematic reviews and meta-analyses. Lancet Neurol. 2015;14(3):263–73. pmid:25662901
- 5. Ramagopalan SV, Ebers GC. Multiple sclerosis: major histocompatibility complexity and antigen presentation. Genome Med. 2009;1(11):105. pmid:19895714
- 6. Ballerini C, Guerini FR, Rombolà G, Rosati E, Massacesi L, Ferrante P, et al. HLA-multiple sclerosis association in continental Italy and correlation with disease prevalence in Europe. J Neuroimmunol. 2004;150(1-2):178–85. pmid:15081263
- 7. Dyment DA, Herrera BM, Cader MZ, Willer CJ, Lincoln MR, Sadovnick AD, et al. Complex interactions among MHC haplotypes in multiple sclerosis: susceptibility and resistance. Hum Mol Genet. 2005;14(14):2019–26. pmid:15930013
- 8. International-Multiple-Sclerosis-Genetics-Consortium. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science. 2019;365(6460.
- 9. Hollenbach JA, Oksenberg JR. The immunogenetics of multiple sclerosis: A comprehensive review. J Autoimmun. 2015;64:13–25. pmid:26142251
- 10. Schmidt H, Williamson D, Ashley-Koch A. HLA-DR15 haplotype and multiple sclerosis: a HuGE review. Am J Epidemiol. 2007;165(10):1097–109. pmid:17329717
- 11. Martin R, Sospedra M, Eiermann T, Olsson T. Multiple sclerosis: doubling down on MHC. Trends Genet. 2021;37(9):784–97. pmid:34006391
- 12. Fontana A, Fierz W, Wekerle H. Astrocytes present myelin basic protein to encephalitogenic T-cell lines. Nature. 1984;307(5948):273–6. pmid:6198590
- 13. Falcão AM, van Bruggen D, Marques S, Meijer M, Jäkel S, Agirre E, et al. Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis. Nat Med. 2018;24(12):1837–44. pmid:30420755
- 14. Smith KJ, Pyrdol J, Gauthier L, Wiley DC, Wucherpfennig KW. Crystal structure of HLA-DR2 (DRA*0101, DRB1*1501) complexed with a peptide from human myelin basic protein. J Exp Med. 1998;188(8):1511–20. pmid:9782128
- 15. Quelvennec E, Bera O, Cabre P, Alizadeh M, Smadja D, Jugde F, et al. Genetic and functional studies in multiple sclerosis patients from Martinique attest for a specific and direct role of the HLA-DR locus in the syndrome. Tissue Antigens. 2003;61(2):166–71. pmid:12694585
- 16. Wang J, Jelcic I, Mühlenbruch L, Haunerdinger V, Toussaint NC, Zhao Y, et al. HLA-DR15 Molecules Jointly Shape an Autoreactive T Cell Repertoire in Multiple Sclerosis. Cell. 2020;183(5):1264–81.e20. pmid:33091337
- 17. Hauser SL, Bar-Or A, Comi G, Giovannoni G, Hartung HP, Hemmer B, et al; OPERA I and OPERA II Clinical Investigators. Ocrelizumab versus Interferon Beta-1a in Relapsing Multiple Sclerosis. N Engl J Med. 2017;376(3):221–34. pmid:28002679
- 18. Maghbooli Z, Sahraian MA, Naser Moghadasi A. Multiple sclerosis and human leukocyte antigen genotypes: Focus on the Middle East and North Africa region. Mult Scler J Exp Transl Clin. 2020;6(1):2055217319881775. pmid:31976083
- 19. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162–73. pmid:29275977
- 20. Al-Qerem W, Jarab AS, Badinjki M, Hyassat D, Qarqaz R. Exploring variables associated with medication non-adherence in patients with type 2 diabetes mellitus. PLoS One. 2021;16(8):e0256666. pmid:34424940
- 21. Armstrong RA. When to use the Bonferroni correction. Ophthalmic Physiol Opt. 2014;34(5):502–8. pmid:24697967
- 22. Beasley TM, Schumacker RE. Multiple Regression Approach to Analyzing Contingency Tables: Post Hoc and Planned Comparison Procedures. J Exp Edu. 1995;64(1):79–93.
- 23. Marrosu MG, Murru MR, Costa G, Murru R, Muntoni F, Cucca F, et al. DRB1-DQA1-DQB1 loci and multiple sclerosis predisposition in the Sardinian population. Hum Mol Genet. 1998;7(8):1235–7. pmid:9668164
- 24. Stankovich J, Butzkueven H, Marriott M, Chapman C, Tubridy N, Tait BD, et al; ANZgene Consortium. HLA-DRB1 associations with disease susceptibility and clinical course in Australians with multiple sclerosis. Tissue Antigens. 2009;74(1):17–21. pmid:19392788
- 25. Isobe N, Gourraud PA, Harbo HF, Caillier SJ, Santaniello A, Khankhanian P, et al. Genetic risk variants in African Americans with multiple sclerosis. Neurology. 2013;81(3):219–27. pmid:23771490
- 26. Wang H, Dai Y, Qiu W, Zhong X, Wu A, Wang Y, et al. HLA-DPB1 0501 is associated with susceptibility to anti-aquaporin-4 antibodies positive neuromyelitis optica in southern Han Chinese. J Neuroimmunol. 2011;233(1-2):181–4. pmid:21130504
- 27. McDonnell GV, Mawhinney H, Graham CA, Hawkins SA, Middleton D. A study of the HLA-DR region in clinical subgroups of multiple sclerosis and its influence on prognosis. J Neurol Sci. 1999;165(1):77–83. pmid:10426152
- 28. Rojas OL, Rojas-Villarraga A, Cruz-Tapias P, Sánchez JL, Suárez-Escudero JC, Patarroyo MA, et al. HLA class II polymorphism in Latin American patients with multiple sclerosis. Autoimmun Rev. 2010;9(6):407–13. pmid:19896562
- 29. De Silvestri A, Capittini C, Mallucci G, Bergamaschi R, Rebuffi C, Pasi A, et al. The Involvement of HLA Class II Alleles in Multiple Sclerosis: A Systematic Review with Meta-analysis. Dis Markers. 2019;2019:1409069. pmid:31781296
- 30. Al-Shammri S, Nelson RF, Al-Muzairi I, Akanji AO. HLA determinants of susceptibility to multiple sclerosis in an Arabian Gulf population. Mult Scler. 2004;10(4):381–6. pmid:15327033
- 31. Zabihi R, Galehdari H, Shafiee M, Kazeminejad SR, Alavi SM. Analysis of HLA-DQB1*0602 in multiple sclerosis patients in khuzestan province, Iran. Arch Iran Med. 2015;18(10):698–702pmid:26443252
- 32. Messadi A, Najiba FM, Ouerhani S, Zaweli J, Louatti I, Layouni S, et al. HLA class II alleles and multiple sclerosis in Tunisian patients. Clin Neurol Neurosurg. 2010;112(10):849–52. pmid:20691532
- 33. Al Jumah M, Kojan S, Al Shehri AM, Al Balwi M, Al Abdulkarim I, Masuadi EM, et al. HLA class II polymorphism in Saudi patients with multiple sclerosis. Hla. 2018;91(1):17–22. pmid:29131543
- 34. Al-Nashmi M, Taha S, Salem AH, Alsharoqi I, Bakhiet M. Distinct HLA class I and II genotypes and haplotypes are associated with multiple sclerosis in Bahrain. Biomed Rep. 2018;9(6):531–9. pmid:30546882
- 35. Masterman T, Ligers A, Olsson T, Andersson M, Olerup O, Hillert J. HLA-DR15 is associated with lower age at onset in multiple sclerosis. Ann Neurol. 2000;48(2):211–9. pmid:10939572
- 36. Watanabe M, Nakamura Y, Sato S, Niino M, Fukaura H, Tanaka M, et al. HLA genotype-clinical phenotype correlations in multiple sclerosis and neuromyelitis optica spectrum disorders based on Japan MS/NMOSD Biobank data. Sci Rep. 2021;11(1):607. pmid:33436735
- 37. Deschamps R, Paturel L, Jeannin S, Chausson N, Olindo S, Béra O, et al. Different HLA class II (DRB1 and DQB1) alleles determine either susceptibility or resistance to NMO and multiple sclerosis among the French Afro-Caribbean population. Mult Scler. 2011;17(1):24–31. pmid:20861181
- 38. Zéphir H, Fajardy I, Outteryck O, Blanc F, Roger N, Fleury M, et al. Is neuromyelitis optica associated with human leukocyte antigen? Mult Scler. 2009;15(5):571–9. pmid:19299434
- 39. Bruijstens AL, Wong YYM, van Pelt DE, van der Linden PJE, Haasnoot GW, Hintzen RQ, et al. HLA association in MOG-IgG- and AQP4-IgG-related disorders of the CNS in the Dutch population. Neurol Neuroimmunol Neuroinflamm. 2020;7(3):e702. pmid:32198229
- 40. Pandit L, Malli C, D’Cunha A, Mustafa S. Human leukocyte antigen association with neuromyelitis optica in a south Indian population. Mult Scler. 2015;21(9):1217–8. pmid:25698175
- 41. Kay CSK, Scola RH, Arndt RC, Lorenzoni PJ, Werneck LC. HLA-alleles class I and II associated with genetic susceptibility to neuromyelitis optica in Brazilian patients. Arq Neuropsiquiatr. 2019;77(4):239–47. pmid:31090804
- 42. Khdair SI, Al-Bdour R, Jarrar W, Hammad A, Al-Jayeh A, Masa’deh M, et al. Immunogenetic profiling of SLE and LN among Jordanian patients. J Personal Med. 2022;12(12):1955. pmid:36556176
- 43. Khdair SI, Jarrar W, Jarrar YB, Bataineh S, Al-Khaldi O. Association of HLA-DRB1 and -DQ alleles and haplotypes with type 1 diabetes in Jordanians. Endocr Metab Immune Disord Drug Targets. 2020;20(6):895–902. pmid:31742498