Disease Markers
Volume 2015 (2015), Article ID 724935, 7 pages
http://dx.doi.org/10.1155/2015/724935

Research Article

Significant Association of HLA-B Alleles and Genotypes in Thai Children with Autism Spectrum Disorders: A Case-Control Study

Apichaya Puangpetch,1,2 Pongwut Suwannarat,1,2 Montri Chamnanphol,1,2 Napatrupron Koomdee,1,2 Nattawat Ngamsamut,³ Penkhae Limsila,³ and Chonlaphat Sukasem1,2

¹Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
²Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok 10400, Thailand
³Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Department of Mental Health Services, Ministry of Public Health, Samut Prakarn 10270, Thailand

Received 19 August 2015; Revised 20 October 2015; Accepted 27 October 2015

Academic Editor: Donald H. Chace

Copyright © 2015 Apichaya Puangpetch et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Autism is a severe neurodevelopmental disorder. Many susceptible causative genes have been identified. Most of the previous reports showed the relationship between the Human Leukocyte Antigen (HLA) gene and etiology of autism. In order to identify HLA-B alleles associated with autism in Thai population, we compared the frequency of HLA-B allele in 364 autistic subjects with 952 normal subjects by using a two-stage sequence-specific oligonucleotide probe system (PCR-SSOP) method based on flow-cytometry technology. HLA- 13:02 (, OR = 2.229), HLA- 38:02 (, OR = 1.628), HLA- 44:03 (, OR = 1.645), and HLA- 56:01 ( = 1.78 × 10⁻⁴, OR = 4.927) alleles were significantly increased in autistic subjects compared with normal subjects. Moreover, we found that the HLA- 18:02 (, OR = 0.375) and HLA- 46:12 (, OR = 0.147) alleles were negatively associated with autism when compared to normal controls. Both alleles might have a protective role in disease development. In addition, four HLA-B genotypes of autistic patients had statistically significant relationship with control groups, consisting of HLA- 3905 5801 (, OR = 24.697), HLA- 2704 5801 (, OR = 6.872), HLA- 3501 4403 (, OR = 30.269), and HLA- 1801 4402 (P = 0.017, OR = 13.757). This is the first report on HLA-B associated with Thai autism and may serve as a marker for genetic susceptibility to autism in Thai population.

1. Introduction

Autism spectrum disorders (ASD) are neurodevelopmental syndromes characterized by early childhood onset and associated with brain abnormalities [1]. Children with autism have a pattern of behavior deficits in three major domains, namely, social interaction difficulties, verbal and nonverbal communication, and the presence of restricted, repetitive, or stereotypic behaviors or interests. The ASD was classified according to American Psychiatric Association (DSM-IV-TR) 2000 into 5 classes consisting of autistic disorder, Asperger’s syndrome, Rett syndrome, childhood disintegrative disorder (CDD), and pervasive developmental disorders not otherwise specified (PDD-NOS). Clinical features usually have developmental markers of ASD emerging during the first 3 years of life. Prevalence estimates worldwide range from 0.07% to 1.8% [2] and 0.1% in Thailand [3] with a biased male-to-female ratio of 4.2 to 1 [2]. ASD has been incessantly increased so that the understanding of aetiopathogenesis of autism may be important for clinical implementation.

However, the etiology of ASD is still unclear. Genetic, environmental, and immune mechanisms in the nervous system impairments have been proposed [4, 5]. Several immune abnormalities in autistic subjects including the involvement of autoimmune disease and infection have been suggested [6–8]. Moreover, the dysregulation of the immune response such as partial T cell activation [9] and decreased peripheral lymphocyte numbers [10] as well as cytokine production [11] have been studied. The previous report demonstrated that Human Leukocyte Antigen (HLA) alleles are involved in ASD, especially HLA class I molecules playing a vital role in brain development [12–14]. HLA genes are the name for the Major Histocompatibility Complex (MHC) in humans localized on the short arm of chromosome 6 (6p21; about 4 × 10⁶ bp). HLA genes are a high level of polymorphisms composed of class I, II, and III molecules. They are involved in many biological functions such as inflammation, immune response, ligands for immune cell receptors, and complement.

Previous studies demonstrated that HLA- 1, 02, 07, 44, 51, DRβ04 (DR4), DR11, DR13, DR14, DRB 03, DQB 0202, DQB 0302, DQB 0501, and C4B are associated with ASD [15]. Moreover, in 2002, Torres et al. found that HLA-DR4 was susceptible to autism. In contrast, HLA-DR13 has a protective role toward disease development [16]. In addition, Daniels et al. in 1995 reported that the allelic products of certain genes of the MHC were associated with autism including the null allele of the C4B gene (located in class III region of the MHC), the extended haplotype HLA-DRβ04 (DR4) and HLA-DR13 in class II, and A2 and HLA- 44 allele in class I region [17]. The evidence suggests possible associations between HLA alleles and ASD have wide coverage of different ethnicities. Most reports have been noted in Western countries but among Asian populations there is less information. The main aim of this study is to find out the link between HLA-B and ASD in Thai autistic children compared with normal subjects.

2. Materials and Methods

2.1. Subjects

A study was conducted in 1316 Thai individual subjects; 952 subjects were classified as normal control and 364 subjects were diagnosed with autistic spectrum disorder (ASD) according to the 4th edition of the diagnostic and statistical manual of mental disorders criteria (DSM-IV). All autistic subjects were recruited from Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Samut Prakan, Thailand. This study received approval from the Ethical Committee of Ramathibodi Hospital. All patients wrote informed consent document before enrolment in the project.

2.2. Genomic DNA Extraction

Blood samples were taken and collected to EDTA tubes. DNA was isolated by using the MagNA Pure automated extraction system (Roche diagnostics, USA) which is based on magnetic-bead technology with a lysis buffer and proteinase K. Nucleic acids are bound to the surface of the magnetic glass particles. Cellular debris was removed by several washing steps and the purified nucleic acids are eluted. From the 1 mL input volume of EDTA-whole blood, 200 μL output volume of extracted genomic DNA product is obtained.

The quality of genomic DNA was assessed by using NanoDrop ND-1000 for measuring the genomic DNA as well as purity with dynamic ranges around 220 to 750 nm. Wavelength at 260 nm is suitable for measuring the genomic DNA and at 280 nm was used to evaluate contaminated protein in the sample. The recommended purified genomic DNA template for this study is 20 ng and the optical density (OD) ratio at 260/280 nm is greater than 1.7. All DNA was aliquoted and stored at −20°C until tested.

2.3. HLA-B Typing

HLA-B genotyping was carried out based on Polymerase Chain Reaction-sequence-specific oligonucleotides (PCR-SSO) by using the Luminex Multiplex Technology, a flow-cytometry method (Luminex IS 100, USA). Briefly, the PCR product was hybridized against a panel of oligonucleotide probes coated on polystyrene microspheres that have sequences complementary to stretches of polymorphism within the target HLA-B alleles. The amplicon-probe complex is visualized using a colorimetric reaction and fluorescence detection technology. Data analysis for the HLA-B assays was performed with software package HLAfusion 2.0.

2.4. Statistical Analysis

The HLA-B allele frequency of the samples was calculated by direct counting and calculated by dividing the total number of occurrences of that allele by the total number of alleles at that locus in the population. The significance of difference in frequencies of HLA-B alleles between autistic subject and control was compared by Chi-square () test or Fisher’s exact test if the number in any cell of the 2 × 2 contingency tables was less than five. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine levels of significances. For all tests, a probability () of less than 0.05 was significant.

3. Results

3.1. The Characteristics of Autistic Patients and Normal Subjects

The clinical data of 1316 subjects was shown in Table 1. A mean age of 364 autistic patients was years and was divided into 314 male and 50 female (ratio 6.28 : 1), whereas the mean age of 952 normal subjects was and was classified into 677 male and 285 female (ratio 2.34 : 1).

Table 1: Characteristics of autistic patients () and normal subjects ().

Characteristics
Autistic patients
Mean ± SD
Normal subjects
Mean ± SD

Age (years)
9.17 ± 4.99
45.36 ± 26.15

Gender

    Male
314 (86.26%)
667 (70.06%)

    Female
50 (13.74%)
285 (29.93%)

3.2. HLA-B Allele Frequency in Autistic Spectrum Disorders Patients Compared with Normal Subjects

The HLA-B frequencies of 364 autistic patients and 952 normal controls were showed in Table 2. One hundred and thirty-one different HLA-B alleles were identified in this study. In HLA- 13:02 (, OR = 2.229), HLA- 38:02 (, OR = 1.628), HLA- 44:03 (, OR = 1.645), and HLA- 56:01 ( = 1.78 × 10⁻⁴ OR = 4.927) alleles were found to be significantly associated with autism. Two of the HLA-B alleles were negatively linked to autism: HLA- 18:02 (, OR = 0.375) and HLA- 46:12 (, OR = 0.147).

Table 2: HLA-B allele frequency in autistic children and control group.

HLA-B 
alleles
Number of individuals (%)
OR (95% CI)
value

ASD  
Allele frequencies (%)
Control  
Allele frequencies (%)

B 07:02
3 (0.41)
19 (1.00)
0.411 (0.121–1.391)
0.153

B 07:05
19 (2.61)
30 (1.58)
1.674 (0.936–2.993)
0.082

B 07:09
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 07:13
0 (0.00)
3 (0.16)
0.373 (0.019–7.228)
0.514

B 07:14
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 07:18
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 08:01
4 (0.55)
11 (0.58)
0.951 (0.302–2.996)
0.931

B 08:02
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 08:03
1 (0.14)
1 (0.05)
2.618 (0.164–41.906)
0.496

B 08:12
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 08:33
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 13:01
40 (5.49)
146 (7.67)
0.700 (0.488–1.004)
0.527

B13:02
16 (2.20)
19 (1.00)
2.229 (1.140–4.359)
0.019

B 13:03
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 13:09
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 13:28
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 13:39
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 14:02
2 (0.27)
0 (0.00)
13.107 (0.629–273.362)
0.097

B 14:13
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 15:01
12 (1.65)
23 (1.21)
1.371 (0.678–2.769)
0.379

B 15:02
55 (7.55)
160 (8.40)
0.891 (0.648–1.226)
0.477

B 15:03
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 15:04
1 (0.14)
5 (0.26)
0.522 (0.061–4.479)
0.554

B 15:06
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 15:07
1 (0.14)
3 (0.16)
0.872 (0.091–8.393)
0.905

B 15:11
0 (0.00)
7 (0.37)
0.174 (0.010–3.044)
0.231

B 15:12
3 (0.41)
7 (0.37)
1.121 (0.289–4.348)
0.868

B 15:13
2 (0.27)
13 (0.68)
0.401 (0.090–1.780)
0.229

B 15:17
1 (0.14)
10 (0.53)
0.261 (0.034–2.039)
0.200

B 15:18
3 (0.41)
4 (0.21)
1.965 (0.439–8.804)
0.377

B 15:20
2 (0.27)
0 (0.00)
13.107 (0.629–273.362)
0.097

B 15:21
4 (0.55)
6 (0.32)
1.748 (0.492–6.211)
0.388

B 15:22
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 15:25
11 (1.51)
27 (1.42)
1.067 (0.526–2.161)
0.858

B 15:27
2 (0.27)
2 (0.11)
2.619 (0.368–18.634)
0.336

B 15:31
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 15:32
1 (0.14)
8 (0.42)
0.326 (0.041–2.601)
0.291

B 15:35
3 (0.41)
22 (1.16)
0.354 (0.106–1.186)
0.092

B 15:88
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 18:01
24 (3.30)
58 (3.05)
1.085 (0.669–1.759)
0.741

B18:02
7 (0.96)
48 (2.52)
0.375 (0.169–0.836)
0.016

B 18:09
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 18:18
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 27:03
1 (0.14)
5 (0.26)
0.522 (0.061–4.479)
0.554

B 27:04
13 (1.79)
37 (1.94)
0.917 (0.485–1.736)
0.791

B 27:06
12 (1.65)
15 (0.79)
2.111 (0.983–4.531)
0.055

B 27:07
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 27:61
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 27:86
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 35:01
14 (1.92)
36 (1.89)
1.017 (0.546–1.898)
0.957

B 35:02
1 (0.14)
2 (0.11)
1.308 (0.118–14.449)
0.826

B 35:03
6 (0.82)
21 (1.10)
0.745 (0.299–1.854)
0.527

B 35:05
9 (1.24)
39 (2.05)
0.599 (0.288–1.242)
0.168

B 35:08
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 35:11
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 35:58
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 36:68
2 (0.27)
0 (0.00)
13.107 (0.629–273.362)
0.097

B 37:01
4 (0.55)
9 (0.47)
1.163 (0.357–3.789)
0.802

B 38:01
5 (0.69)
4 (0.21)
3.285 (0.879–12.267)
0.077

B38:02
27 (3.71)
44 (2.31)
1.628 (1.001–2.649)
0.049

B 38:13
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 38:17
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 38:20
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 38:22
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 38:23
0 (0.00)
4 (0.21)
0.289 (0.016–5.391)
0.406

B 39:01
7 (0.96)
11 (0.58)
1.412 (0.561–3.554)
0.463

B 39:03
0 (0.00)
3 (0.16)
0.373 (0.019–7.228)
0.514

B 39:05
1 (0.14)
2 (0.11)
1.308 (0.118–14.449)
0.826

B 39:09
6 (0.82)
13 (0.68)
1.209 (0.458–3.192)
0.702

B 39:15
1 (0.14)
13 (0.68)
0.200 (0.026–1.532)
0.121

B 39:24
1 (0.14)
6 (0.32)
0.435 (0.052–3.621)
0.441

B 40:01
72 (9.89)
155 (8.14)
1.239 (0.923–1.661)
0.153

B 40:02
10 (1.37)
24 (1.26)
1.091 (0.519–2.293)
0.818

B 40:03
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 40:04
5 (0.69)
4 (0.21)
3.285 (0.879–12.267)
0.077

B 40:06
3 (0.41)
11 (0.58)
0.712 (0.198–2.559)
0.603

B 40:09
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 40:10
0 (0.00)
6 (0.32)
0.200 (0.011–3.563)
0.274

B 40:23
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 40:59
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 41:01
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 41:10
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 44:01
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 44:02
6 (0.82)
11 (0.58)
1.430 (0.527–3.881)
0.482

B44:03
40 (5.49)
65 (3.41)
1.645 (1.099–2.463)
0.016

B 44:43
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 44:54
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 46:01
86 (11.81)
209 (10.98)
1.086 (0.832–1.419)
0.543

B46:12
2 (0.27)
35 (1.84)
0.147 (0.035–0.613)
0.008

B 46:16
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 48:01
3 (0.41)
7 (0.37)
1.121 (0.289–4.348)
0.868

B 48:03
1 (0.14)
5 (0.26)
0.522 (0.061–4.479)
0.554

B 48:21
0 (0.00)
3 (0.16)
0.373 (0.019–7.228)
0.514

B 50:01
1 (0.14)
2 (0.11)
1.308 (0.118–14.449)
0.826

B 51:01
24 (3.30)
68 (3.57)
0.921 (0.573–1.478)
0.732

B 51:02
6 (0.82)
20 (1.05)
0.783 (0.313–1.957)
0.600

B 51:04
1 (0.14)
6 (0.32)
0.435 (0.052–3.621)
0.441

B 51:06
0 (0.00)
3 (0.16)
0.373 (0.019–7.228)
0.514

B 51:07
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 51:43
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 51:45
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 52:01
10 (1.37)
48 (2.52)
0.538 (0.271–1.070)
0.077

B 52:07
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 52:11
1 (0.14)
1 (0.05)
2.618 (0.164–41.906)
0.496

B 52:25
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 53:17
0 (0.00)
3 (0.16)
0.373 (0.019–7.228)
0.514

B 54:01
14 (1.92)
26 (1.37)
1.416 (0.735–2.728)
0.298

B 54:04
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 54:14
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 54:16
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 55:01
1 (0.14)
9 (0.47)
0.289 (0.037–2.290)
0.240

B 55:02
8 (1.10)
26 (1.37)
0.803 (0.362–1.781)
0.588

B 55:04
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 55:10
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 55:13
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 55:23
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 55:32
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 55:44
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B56:01
13 (1.79)
7 (0.37)
4.927 (1.958–12.399)
1.78 ×

B 56:02
0 (0.00)
4 (0.21)
0.289 (0.016–5.391)
0.406

B 56:03
0 (0.00)
2 (0.11)
0.522 (0.025–10.893)
0.675

B 56:04
0 (0.00)
6 (0.32)
0.200 (0.011–3.563)
0.274

B 56:12
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 56:16
2 (0.27)
1 (0.05)
5.242 (0.474–57.905)
0.176

B 57:01
16 (2.20)
24 (1.26)
1.760 (0.929–3.333)
0.083

B 57:21
1 (0.14)
2 (0.11)
1.308 (0.118–14.449)
0.826

B 58:01
65 (8.93)
163 (8.56)
1.047 (0.775–1.415)
0.764

B 58:34
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

B 58:42
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 67:01
0 (0.00)
1 (0.05)
0.871 (0.035–21.406)
0.933

B 73:01
1 (0.14)
0 (0.00)
7.854 (0.319–193.017)
0.207

Chi-square test.

OR: odds ratio; 95% CI: confidence interval. The bold font in table refers to significant association of alleles.

3.3. HLA-B Genotype Frequencies in Autistic Children and Normal Subjects

There were 442 different HLA-B genotypes in the 1316 subjects. Four HLA-B genotypes of autistic patients had statistically significant relationship with control groups (Table 3) which are composed of HLA- 1801 4402 (, OR = 13.757), HLA- 2704 5801 (, OR = 6.872), HLA- 3501 4403 (, OR = 30.269), and HLA- 3905 5801 (, OR = 24.697).

Table 3: HLA-B genotype frequency in autistic patients compared with control group.

Genotypes
ASD
(%)
Control
(%)
OR (95% CI)
value

1801/ 4402
5 (1.38)
1 (0.10)
13.757 (1.602–118.158)
0.017

B 2704/ 5801
5 (1.38)
2 (0.20)
6.872 (1.327–35.577)
0.022

B 3501/ 4403
5 (1.38)
0 (0.00)
30.269 (1.669–548.816)
0.021

B 3905/ 5801
4 (1.10)
0 (0.00)
24.697 (1.326–459.879)
0.032

Chi-square test. OR: odds ratio; 95% CI: confidence interval.

4. Discussion

Although the causes and mechanisms of ASD were unclear, the genetic and environment factors were believed to play an important role in the pathophysiology of the ASD. It was clear that no single genetic locus was the sole cause of this disorder. Recently, the genome-wide association studies revealed a number of rare mutations. Many of these genes encode proteins integral to formation, refinement, maintenance, function, and/or plasticity of synapses in the CNS; others encode proteins traditionally thought to play roles exclusively in the immune system, including MHC genes [18]. The interruption in MHC expression in the developing brain caused by mutations and/or immune deregulation may contribute to the altered brain connectivity and function characteristic of autism [4, 5, 19]. In addition, increased levels of cytokines in the plasma were found to be linked with greater impairments in characteristic ASD behavioral domains including social interaction and communication, as well as associated features such as aberrant behaviors [11].

Moreover, the A2-B44 and A2-B51 haplotypes were two times more frequent in autistic subjects [16]. In Egypt autistic children study found that autistic children had significant higher frequency of HLA-DRB 11 allele and lower frequency of HLA-DRB 03 allele than healthy-matched-children control (). Acquisition of HLA-DRB 11 and absence of HLA-DRB 03 had significant risk of association with autism and HLA-DRB 11 had a significant risk for association with a family history of autoimmunity in autistic children [20]. Moreover, Chien et al. 2012 suggested that HLA-DRB1 gene might be associated with autism in Han Chinese and found that DR4, DR11, and DR14 had a different effect on intelligence and neuropsychology tests among autistic children [21].

In our study, the findings obtained have shown that HLA- 13:02, HLA- 38:02, HLA- 44:03, and HLA- 56:01 alleles were significantly associated with autism. This data was similar to the previous study by Torres et al. which reported a higher prevalence of HLA- 44 and HLA- 51 among ASD children than controls [13]. Contradictory, the previous finding of Al-Hakbany et al. reported a higher prevalence of HLA- 07 and HLA- 51 among ASD children than controls [15]. In addition, we found that the HLA- 18:02 and HLA- 46:12 alleles were significantly higher among controls than autistic subjects which demonstrated that these alleles might play a protective role toward disease development. We found that only HLA- 44:03 alleles in autistic patients showed a significant difference in HLA-B genotype when compared with normal group. It might be the influence on gene-gene interaction that would result in autism development. The finding of small possibility of HLA-B genotype is a limitation of this study. As the result of HLA-B genotype, there are quite a small number of HLA-B genotypes in control. Either small sample size or family members should be included in further study for proving that those genotypes are associated in autistic patients.

With the different results in HLA-B publication, most of genetic studies unavoidably increase the attention to the ethnic variation. This finding might serve as genetic markers for susceptibility to ASD in Thailand and reveals a cover-up of genetic effect on autism. However, the interaction between HLA and different infectious agents or environmental allergen across geographical regions remains of interest for clarification ASD etiology.

5. Conclusions

Our studies suggest that HLA- 13:02 (, OR = 2.229), HLA- 38:02 (, OR = 1.628), HLA- 44:03 (, OR = 1.645), and HLA- 56:01 ( = 1.78 × 10⁻⁴ OR = 4.927) alleles were significantly increased in autistic subjects compared with normal subjects. These alleles may have a consequence on ASD development. However, the understanding of how HLA-B alleles have an impact on autism still needs more investigation.

Conflict of Interests

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the paper.

Acknowledgments

This study was supported by grants of the (1) Pharmacogenomics for Autistic Child Project, Khoon Poom Foundation, The Project in Her Royal Highness Princess Ubonratana Rajakanya Siriwatana Bhanawadee, (2) Office of National Research Council of Thailand, (3) Faculty of Medicine Ramathibodi Hospital, and (4) Mahidol University. The authors thank all the staff in Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital and all the children and adolescents with ASD who participated in the study.

References

C. Trevarthen and J. T. Delafield-Butt, “Autism as a developmental disorder in intentional movement and affective engagement,” Frontiers in Integrative Neuroscience, vol. 7, article 49, 2013.

E. Fombonne, “Epidemiology of pervasive developmental disorders,” Pediatric Research, vol. 65, no. 6, pp. 591–598, 2009.

K. T. Siriwanarangsun P and S. Arunpongpaisan, “Prevalence of mental disorders in Thailand: a national survey 2003,” Journal of Mental Health of Thailand, vol. 12, pp. 177–178, 2004.

R. Muhle, S. V. Trentacoste, and I. Rapin, “The genetics of autism,” Pediatrics, vol. 113, no. 5, pp. e472–e486, 2004.

M. B. Lauritsen, C. B. Pedersen, and P. B. Mortensen, “Effects of familial risk factors and place of birth on the risk of autism: A nationwide register-based study,” Journal of Child Psychology and Psychiatry and Allied Disciplines, vol. 46, no. 9, pp. 963–971, 2005.

J. Money, N. A. Bobrow, and F. C. Clarke, “Autism and autoimmune disease: a family study,” Journal of Autism and Developmental Disorders, vol. 1, no. 2, pp. 146–160, 1971.

P. Ashwood and J. Van de Water, “A review of autism and the immune response,” Clinical and Developmental Immunology, vol. 11, no. 2, pp. 165–174, 2004.

M. Hornig and W. I. Lipkin, “Infectious and immune factors in the pathogenesis of neurodevelopmental disorders: epidemiology, hypotheses, and animal models,” Mental Retardation and Developmental Disabilities Research Reviews, vol. 7, no. 3, pp. 200–210, 2001.

A. V. Plioplys, A. Greaves, K. Kazemi, and E. Silverman, “Lymphocyte function in autism and Rett syndrome,” Neuropsychobiology, vol. 29, no. 1, pp. 12–16, 1994.

P. Ashwood, A. Anthony, A. A. Pellicer, F. Torrente, J. A. Walker-Smith, and A. J. Wakefield, “Intestinal lymphocyte populations in children with regressive autism: evidence for extensive mucosal immunopathology,” Journal of Clinical Immunology, vol. 23, no. 6, pp. 504–517, 2003.

V. K. Singh, “Plasma increase of interleukin-12 and interferon-gamma. Pathological significance in autism,” Journal of Neuroimmunology, vol. 66, no. 1-2, pp. 143–145, 1996.

L. M. Boulanger, “MHC class I in activity-dependent structural and functional plasticity,” Neuron Glia Biology, vol. 1, no. 3, pp. 283–289, 2004.

A. R. Torres, T. L. Sweeten, A. Cutler et al., “The association and linkage of the HLA-A2 class I allele with autism,” Human Immunology, vol. 67, no. 4-5, pp. 346–351, 2006.

R. Canitano and V. Scandurra, “Risperidone in the treatment of behavioral disorders associated with autism in children and adolescents,” Neuropsychiatric Disease and Treatment, vol. 4, no. 4, pp. 723–730, 2008.

M. Al-Hakbany, S. Awadallah, and L. AL-Ayadhi, “The relationship of HLA class i and ii alleles and haplotypes with autism: a case control study,” Autism Research and Treatment, vol. 2014, Article ID 242048, 6 pages, 2014.

A. R. Torres, A. Maciulis, E. G. Stubbs, A. Cutler, and D. Odell, “The transmission disequilibrium test suggests that HLA-DR4 and DR13 are linked to autism spectrum disorder,” Human Immunology, vol. 63, no. 4, pp. 311–316, 2002.

W. W. Daniels, R. P. Warren, J. D. Odell et al., “Increased frequency of the extended or ancestral haplotype B44-SC30-DR4 in autism,” Neuropsychobiology, vol. 32, no. 3, pp. 120–123, 1995.

D. H. Geschwind, “Genetics of autism spectrum disorders,” Trends in Cognitive Sciences, vol. 15, no. 9, pp. 409–416, 2011.

L. A. Needleman and A. K. McAllister, “The major histocompatibility complex and autism spectrum disorder,” Developmental Neurobiology, vol. 72, no. 10, pp. 1288–1301, 2012.

G. A. Mostafa, A. A. Shehab, and L. Y. Al-Ayadhi, “The link between some alleles on human leukocyte antigen system and autism in children,” Journal of Neuroimmunology, vol. 255, no. 1-2, pp. 70–74, 2013.

Y.-L. Chien, Y.-Y. Wu, C.-H. Chen et al., “Association of HLA-DRB1 alleles and neuropsychological function in autism,” Psychiatric Genetics, vol. 22, no. 1, pp. 46–49, 2012.