Literature DB >> 23554708

The distribution of HLA-A, -B, and -DRB1 alleles and haplotypes in inhabitants of Guizhou Province of China.

Qinqin Pan1, Su Fan, Xiaoyan Wang, Xing Zhao, Meng Pan, Chengya Wang, Jie Shen.   

Abstract

The present study was aimed to analyze the frequencies of human leukocyte antigen (HLA)-A, -B, and -DRB1 alleles and A-B-DRB1, A-B, A-DRB1 and B-DRB1 haplotypes in inhabitants of Guizhou province, China. All samples were typed in the HLA-A,-B, and -DRB1 loci using the polymerase chain reaction-reverse sequence specific oligonucleotide probe (PCR-rSSOP) method and HLA polymorphisms were analyzed. A total of 18 HLA-A, 31 HLA-B, and 13 HLA-DRB1 alleles were found in the Guizhou population. The first two frequent alleles in the HLA-A, -B, and -DRB1 loci were A*11(30.72%) and A*02(30.65%), B*40(16.27%) and B*46(16.27%), and DRB1*09(15.91%) and DRB1*15(13.51%), respectively. The most common haplotype was A*02-B*46-DRB1*09(5.59%) in A-B-DRB1, A*02-B*46(11.73%) in A-B, B*46-DRB1*09(7.49%) in B-DRB1, and A*02-DRB1*09(8.08%) in A-DRB1. Some haplotypes with strong linkage disequilibrium (LD) were found not only in the common haplotypes, such as A*33-B*58, B*30-DRB1*07, and B*33-DRB1*03, but also in the rare haplotypes, such as A*01-B*37, B*37-DRB1*10, and A*01-DRB1*10. Guizhou inhabitants shared some characteristics of the Southern Chinese population but also had their own unique features. Overall, HLA polymorphism in Guizhou population was more consistent with that of Chengdu population than that of other populations in China.

Entities:  

Keywords:  Guizhou; allele; disequilibrium; haplotype; human leukocyte antigen; linkage

Year:  2011        PMID: 23554708      PMCID: PMC3596729          DOI: 10.1016/S1674-8301(11)60044-4

Source DB:  PubMed          Journal:  J Biomed Res        ISSN: 1674-8301


INTRODUCTION

Guizhou province is located in the southwest of China. It adjoins Sichuan province and Chongqing municipality to the north, Yunnan province to the west, Guangxi province to the south and Hunan province to the east. Guizhou is a mountainous province; however, while it is mountainous in the west, the eastern and southern regions are relatively flat. Guizhou covers an area of over 176,000 square kilometers with a total population of more than 35,245,000. Guizhou is one of the provinces that contain the greatest number of minority groups. There are 49 ethnic groups living there, with minorities making up about 38% of the population and their compositions rank third in China after Yunnan Province and Xinjiang Autonomous Region. Human leukocyte antigen (HLA) genes are located at the short arm of chromosome 6 within a region of a few million base pairs. HLA is an extremely polymorphic genetic system and its constituent gene products play important roles in the immune response for unrelated hematopoietic stem cell transplantation[1],[2]. HLA haplotype analysis is important for identifying appropriate donors, and the most important clinical application of HLA haplotype has been the selection of suitable donors in transplantation[3]. HLA matching at the haplotype level may have a higher likelihood of matching at other loci than matching merely at the allele level[4]. On the other hand, an accurate and adequate characterization of the distribution of HLA alleles and haplotypes at the population level may have been lagging. Hence, determination of the distribution of HLA alleles and haplotypes in different populations is necessary for selecting acceptable unrelated donors for patients. With the development of the Chinese Marrow Donor Program (CMDP), more and more HLA typing data have become availabe, which provides us a good chance for analyzing HLA polymorphism. In addition, HLA typing technology has developed rapidly with the development of CMDP, and PCR technology has been applied in the DNA- based HLA typing method. Techniques available for DNA typing include sequence specific oligonucleotide probes (SSOP), sequence-specific primers (SSP) and sequence-based typing (SBT). However SBT technology requires expensive equipment, and the first two techniques give rise to flexibility with respect to the desired level of resolution depending on the number of oligonucleotide probes or primers used[5],[6]. In this paper, we examined the frequencies of HLA-A, -B, and -DRB1 alleles in a total of 2,879 persons residing in the Guizhou province of China. Furthermore, we estimated the frequencies of two or three locus haplotypes and the linkage disequilibrium test between two pairs of loci.

MATERIALS AND METHODS

Subjects

Analysis included 2,879 donors recruited into the CMDP Guizhou Branch from August 2006 to December 2007. All donors, regardless of ethnic groups, were included in this study (Han 85%; Miao, Dong, and Buji etc 15%, aged from 20-45 years) and were typed for HLA-A, HLA-B and HLA-DRB1 in our laboratory. The experiment protocol was approved by the Institutional Review Board of the First Affiliated Hospital of Nanjing Medical University, and all subjects signed informed consent.

HLA typing

All donors were typed using PCR-reverse SSOP (PCR-rSSOP) method for HLA-A, -B and -DRB1 using commercial kits (LABtype rSSO Typing Test, lot# A007, B009, DRB0010, OLI, CA, USA). LABType® SSO is a reverse SSO (rSSO) DNA typing method using SSOP and color-coded microspheres to identify HLA alleles. First, genomic DNA was isolated from whole blood using the salting-out procedure with commercial kits (DNA Isolation Kit, Dynal Biotech, Brown Deer, Wisconsin, USA). The appropriate DNA concentration was 20-40 ng/µL and the relatively good purity of A260/A280 was 1.6-1.8. Then, the sample DNA was subjected to PCR amplification (PE9700, Thermo cycler Life technologies, USA) in a 10 µL reaction volume, with the PCR run at 96°C for 3 min, 96°C for 20 s, 60°C for 20 s, and 72°C for 20 s, for 5 cycles, and 96°C for 10 s, 60°C for 15 s, and 72°C for 20 s for 30 cycles followed by 72°C for 10 min and stored at 4°C forever. After amplification, the PCR products were denatured and neutralized with acids and bases, and then the PCR products were hybridized with the corresponding locus beads at 60°C for 15 min, which were washed three times using the washing buffer. Then, streptavidin conjugated phycoerythrin (SAPE) was reacted with the products for 5 min at 60°C, and following washing, the products were detected using the Luminex 200 after being suspended with 60 µL washing buffer. Fluorescence signals were identified by the laser Luminex 200 (Luminex, USA), and lastly the HLA typing was obtained from the software HLAtools.

Statistical analysis

HLA allele frequencies (AF) were determined for each allele in donors using the formula: AF (%) = (n/2N)×100%, where n indicates the sum of a particular allele and N indicates the total number of individuals. The maximum-likelihood haplotype frequencies, the Hardy-Weinberg equilibrium, and the linkage disequilibrium (LD) test were computed by the software Arlequin 3.01 using the expectation-maximization (EM) algorithm. Hardy-Weinberg exact tests were performed on all samples for each of the three HLA loci. The EM algorithm is a very general principle for handling missing data in statistical analysis. This algorithm has been described in detail somewhere as applied to estimation of multilocus haplotype frequencies. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step[7],[8]. The parameters reflecting LD intensity of D, D′, and r2, and chi-square value given by Arlequin were also shown and the mathematic definitions of D, D′ and r2 were given in detail elsewhere[9].

RESULTS

Hardy-Weinberg equilibrium examination

Hardy-Weinberg exact tests were performed on the three HLA loci. The observed, expected homozygosities and the statistical P value are given in . The results showed that the P values at the three loci were all more than 0.05. The P value was used to measure the magnitude of the deviation in a population sample, if a P value greater than 0.05, indicated that the population were consistent with Hardy-Weinberg equilibrium[10], which meant that the population was random and the sample size was adequately large[11],[12].
Table 1

The Hardy-Weinberg equilibrium of HLA-A, -B, and -DRB1 loci in Guizhou population

LocusGenotbs.Heter.Exp.Heter.PSD
A2,8790.7740.7740.1310.001
B2,8790.9110.9030.2630.000
DRB12,8790.8980.9000.6990.001

Allele frequencies

A total of 18 HLA-A, 31 HLA-B, and 13 HLA-DRB1 alleles were found in Guizhou population. In the HLA-A locus, A*11 was the most frequent allele in the present study with a frequency of 30.72%, followed by A*02(30.65%), A*24(17.07%), and A*33(7.43%). In the HLA-B locus, B*40 and B*46 were ranked as the first two frequent alleles with the same frequency of 16.27%, followed by B*15 (13.89%), B*13(9.66%), B*51(6.34%) and B*58(6.32%). In the HLA-DRB1 locus, DRB1*09 was the most common one (15.91%), followed by DRB1*15(13.51%), DRB1*12 (13.06%), DRB1*04 (10.44%) and DRB1*14 (9.34%). In addition, some HLA alleles were found to be very rare in the Guizhou population. For example, A*25(0.02%) and A*36(0.02%) in the HLA-A locus, and B*53(0.02%) and B*59(0.02%) in the HLA-B locus. Besides, some HLA alleles were not detected at all, such as A*43, B*82 and B*83. The frequencies of HLA-A, -B, and -DRB1 alleles are described in . The HLA allele distribution () showed that the majority of Guizhou population harbored the most common alleles. There were three alleles in the HLA-A locus (over 10%) with a cumulative frequency of 78.44%, three alleles in the HLA-B locus with a cumulative frequency of 46.43%, and four alleles in the HLA-DRB1 locus with a cumulative frequency of 52.92%. Overall, the alleles with frequencies more than 1% in the HLA- A, -B, and -DRB1 loci made up 90% of the total population.
Table 2

Frequencies of HLA-A, -B, and DRB1 alleles in Guizhou population

Allele groupAllele frequency (%)Allele groupAllele frequency (%)Allele groupAllele frequency(%)
HLA-A*B*140.07B*586.32
 A*011.98B*1513.89B*590.02
 A*0230.65B*180.59B*670.50
 A*031.72B*271.77B*810.03
 A*1130.72B*354.18Blank0.06
 A*230.19B*370.88HLA-DRB1*
 A*2417.07B*383.30DRB1*012.17
 A*250.02B*392.10DRB1*035.03
 A*262.29B*4016.27DRB1*0410.44
 A*290.75B*410.05DRB1*075.14
 A*303.26B*441.80DRB1*087.29
 A*312.67B*450.03DRB1*0915.91
 A*320.55B*4616.27DRB1*101.59
 A*337.43B*470.03DRB1*115.95
 A*340.06B*481.78DRB1*1213.06
 A*360.02B*490.10DRB1*135.69
 A*680.46B*500.35DRB1*149.34
 A*690.07B*516.34DRB1*1513.51
 A*740.05B*522.01DRB1*164.84
 Blank0.04B*530.02Blank0.04
HLA-B*B*542.57
 B*072.47B*553.96
 B*080.90B*560.90
 B*139.66B*570.78

(N = 2,879×2)

Table 3

Distribution of HLA-A, -B, and -DRB1 genes

Frequency range (%)HLA-A
HLA-B
HLA-DRB1
nCumulative frequencynCumulative frequencynCumulative frequency
Total number1899.96%3199.94%1399.96%
 > 10%378.44%346.43%452.92%
 1%-10%619.35%1348.26%947.04%
 0.1%-1%41.95%85.00%00
 < 0.1%50.22%70.25%00
(N = 2,879×2)

Haplotype frequencies and linkage disequilibrium (LD)

The haplotypes of A-B-DRB1, A-B, B-DRB1, and A-DRB1 occurring at frequency over 1% are summarized in . The most common A-B-DRB1 haplotype in this study was A*02-B*46-DRB1*09 with a frequency of 5.59%, followed by A*33-B*58-DRB1*03 (2.80%), A*30-B*13-DRB1*07 (2.23%) and A*02-B*46-DRB1*14 (2.10%). The most common A-B haplotype was A*02-B*46 with a frequency of 11.73%, followed by A*11-B*15 (6.89%), A*11-B*40 (6.19%), A*33-B*58 (5.10%), and A*24-B*40 (5.01%). In the B-DRB1 haplotype, B*46-DRB1*09 was the most common with a frequency of 7.49%, followed by B*15-DRB1*12 (3.82%), B*58-DRB1*03 (3.47%) and B*46-DRB1*14 (2.94%). In the A-DRB1 haplotype, some common haplotypes could be ranked as A*02-DRB1*09 with a frequency of 8.08%, followed by A*11-DRB1*12 (6.07%), A*11-DRB1*15 (5.68%) and A*11-DRB1*04 (3.57%).
Table 4

Common haplotypes in Guizhou population occurring at a frequency over 1%

A-B-DRB1ML-HF (%)A-BML-HF (%)B-DRB1ML-HF (%)A-DRB1ML-HF (%)
02XX 46XX 09XX5.5902XX 46XX11.7346XX 09XX7.4902XX 09XX8.08
33XX 58XX 03XX2.8011XX 15XX6.8915XX 12XX3.8211XX 12XX6.07
30XX 13XX07XX2.2311XX40XX6.1958XX 03XX3.4711XX 15XX5.68
02XX 46XX 14XX2.1033XX 58XX5.1046XX 14XX2.9411XX 04XX3.57
11XX 15XX 15XX1.5824XX 40XX5.0115XX 15XX2.9302XX 12XX3.57
02XX 46XX 08XX1.4711XX 13XX3.9215XX 04XX2.8802XX 15XX3.53
33XX 58XX 13XX1.4002XX 40XX3.4813XX 07XX2.8502XX 04XX3.08
11XX 15XX 04XX1.3502XX 15XX3.1813XX 15XX2.7633XX 03XX2.85
11XX 46XX 09XX1.2711XX46XX2.8040XX 12XX2.5102XX 08XX2.76
11XX 40XX 12XX1.2230XX 13XX2.7840XX 15XX2.4502XX 14XX2.53
11XX 40XX 08XX1.1624XX 15XX2.7340XX 09XX2.3024XX 09XX2.51
24XX 40XX 15XX1.0002XX 38XX2.0440XX 08XX2.1611XX 08XX2.51
11XX51XX1.9846XX 08XX2.0924XX 15XX2.48
02XX 13XX1.9440XX 11XX1.9324XX 12XX2.47
02XX 51XX1.6758XX 13XX1.7711XX 09XX2.46
11XX55XX1.5240XX 04XX1.6711XX 14XX2.36
02XX 55XX1.4015XX 09XX1.5630XX 07XX2.30
24XX 51XX1.3913XX 12XX1.5424XX 14XX2.25
24XX 35XX1.1751XX 09XX1.4124XX 04XX2.19
24XX 46XX1.1351XX 14XX1.2702XX 16XX2.03
11XX39XX1.1040XX 16XX1.1711XX 11XX1.80
24XX 54XX1.0740XX 14XX1.1602XX 11XX1.73
46XX 12XX1.0711XX 13XX1.66
33XX 13XX1.66
11XX 16XX1.53
24XX 11XX1.24
24XX 08XX1.20

ML-HF: Maximum-likehood haplotype frequencies.

Linkage disequilibrium

The results of linkage disequilibrium (LD) test between two pairs loci are summarized in - ranked by the LD parameter, r2 value. Some strong LD haplotypes were detected between two loci, including the common haplotypes and the rare haplotypes. For example, in the A-B haplotype, the haplotype with the strongest LD were A*33-B*58 with a frequency of 5.1%, while the haplotype with the second strongest LD was a rare haplotype (A*01-B*37) only with a frequency of 0.68%. In the A-DRB1 haplotype, the first two strongest LD haplotypes were common haplotypes including A*30-DRB1*07 (2.30%) and A*33-DRB1*03 (2.85%). However, the third strongest one was a rare haplotype A*29-DRB1*10 with a frequency of 0.38%. While in the B-DRB1 haplotype, B*37-DRB1*10 with a frequency of 0.76% was ranked as the first strongest LD haplotype, followed by three common haplotypes, which were B*58-DRB1*03 (3.46%), B*46-DRB1*09 (7.49%) and B*13-DRB1*07 (2.85%).
Table 5

The relative strongest linkage equilibrium between HLA-A and -B

HaplotypeObserved frequencies (%)Expected frequencies (%)DD′r2chi-square
A*33-B*585.100.470.0460.7940.5303043.778
A*01-B*370.680.020.0070.7600.2561468.645
A*29-B*070.640.020.0060.8570.2171246.909
A*30-B*132.780.320.0240.8230.2141230.311
A*02-B*4611.734.990.0750.6600.1921101.331
A*01-B*570.510.020.0050.6370.158910.244
A*23-B*490.0500.0010.4990.136780.135
A*23-B*450.17000.4990.045259.864
A*24-B*405.012.770.0270.1980.037213.080
A*23-B*410.02000.3320.030172.608
A*11-B*156.894.260.0270.2800.029164.227
A*32-B*440.160.550.0020.3000.027156.994
A*02-B*580.231.930.017-0.8920.024135.708
A*11-B*462.805.00-0.026-0.5130.023130.330
A*36-B*570.02001.0000.0220.008
A*33-B*440.660.130.0050.3040.021122.448
A*02-B*382.041.010.0110.5040.020112.472
A*03-B*440.290.030.0020.1460.020116.798
Table 7

The relative strongest linkage equilibrium between HLA-B and -DRB1

HaplotypeObserved frequencies (%)Expected frequencies (%)DD′r2chi-square
B*37-DRB1*100.760.010.0100.8600.4102342.480
B*58-DRB1*033.460.320.0300.6700.3602040.560
B*46-DRB1*097.492.590.0500.4000.150877.110
B*13-DRB1*072.850.500.0200.5200.140791.810
B*07-DRB1*010.840.050.0100.3900.130766.340
B*08-DRB1*030.760.050.0100.8400.120696.090
B*57-DRB1*070.530.0400.6700.070377.250
B*58-DRB1*131.770.360.0100.2600.060356.830
B*15-DRB1*123.821.810.0200.2000.040207.150
B*07-DRB1*100.450.0400.2500.040234.870
B*15-DRB1*042.881.450.0200.1900.030154.070
B*13-DRB1*152.761.310.0200.1900.030146.350
ML-HF: Maximum-likehood haplotype frequencies.

Comparison of the frequent alleles between Guizhou province and other populations

The first three frequent alleles in the HLA-A,-B, and -DRB1 loci in Guizhou province and other populations were obtained from the previous studies: the provinces of Shanxi[13], Henan[14], Jiangsu[15], Hunan[16], and Hainan[17]. As it can be seen from , A*11, A*02, and A*24 were more frequent in Guizhou than in other provinces in China, regardless of whether the population was the northern Chinese or southern Chinese. A*11 was more frequent in southern Chinese than the northern Chinese and A*02 was less frequent in Hunan and Hainan provinces than in the northern Chinese. In the the HLA-B locus, B*40 and B*46 were more frequent in Guizhou than in other provinces in China. In the HLA-DRB1 locus, DRB1*12 in Guizhou was the most frequent allele among the six provinces, and the frequency of DRB1*15 was between that of the northern Chinese and southern Chinese.
Table 8

The first three frequent alleles in HLA-A,-B, and -DRB1 loci in Guizhou province and other populations in China

AllelGuizhouShanxiHenanJiangsuHunanHainan
A*1130.7217.9316.6618.5620.8818.35
A*0230.6529.2629.0929.5519.6415.45
A*2417.0716.1215.7016.7912.0111.03
B*4016.2712.9813.1513.5815.3110.78
B*4616.277.156.249.4111.867.55
B*1513.8913.8413.7014.409.548.55
DRB1*0915.9112.8513.0216.1513.017.56
DRB1*1513.5116.7717.8613.099.559.50
DRB1*1213.0610.679.9512.228.898.25

(%)

(%)

DISCUSSION

Guizhou province is in the southwest of China. One would expect that Guizhou presents some of the characteristics of the Southern Chinese population. The common alleles in the Chinese population, such as A*02, A*11, A*24, A*33, B* 40, B*58, B*15, B*46, DRB1*09, DRB1*15, DRB1*12, and DRB1*04, are also found frequently in Guizhou population. Meanwhile, it was shown that inhabitants of Guizhou province exhibit some differences from those of the other provinces of China in some alleles, especially differences from some minority groups, such as Hui, Wa, and Drung[18]-[20]. For example, in locus A, A*02 (30.65%) and A*11 (30.72%) were the first two most frequent alleles in Guizhou province, and there were nearly no differences in the frequencies of two alleles. In Chengdu population[21], A*11 was the most frequent allele with a frequency of 31.50%, and A*02 was the second most frequent allele with a frequency of 31.03%, which is nearly the same as that reported for Guizhou province. The frequency of A*02 in Guizhou province is consistent with that of Southern Chinese, such as that in Jiangsu (A*02, 29.55%)[15] and Shanghai (A*02, 31.34%)[22]. The first four most frequent alleles in Guizhou were in the order of A*11, A*02, A*24 and A*33, and this order is the same as that of Chengdu[21]. In contrast, the first four most frequent alleles in the A locus in Jiangsu and Shanghai are all in the order of A*02, A*11, A*24 and A*33[15], [22]. The first four most frequent alleles in Yunnan province for Han Chinese are in the order of A*24, A*02, A*11 and A*33, which differ more from those in Guizhou population than Jiangsu and Shanghai, although Yunnan province is adjacent to Guizhou province. In the B locus, B*46 (16.27%) is the most common allele in Guizhou population, which is also the most common one in Chengdu(16.3%)[21] and Yunnan (17.9%)[23]. While in Jiangsu[15] and Shanxi[13], B*15 is the most common one. The first four most frequent alleles in the B locus in Guizhou are in the order of B*40, B*46, B*15 and B*13, for Han Chinese in Yunnan are B*46, B*15, B*40 and B*13[23], in Jiangsu are B*15, B*40, B*13 and B*46[15]. The four alleles are all the same but in different order. In the DRB1 locus, DRB1*09 (15.91%) is the most predominant allele, which is also the most predominant one in Jiangsu[15], Shanghai[22] and Chengdu[21] and the first four most frequent alleles in DRB1 locus in Guizhou are in the same order as that in Chengdu, with the same order of DRB1*09, DRB1*12, DRB1*15, and DRB1*04. By comparison of the frequencies of the HLA alleles in several provinces, Guizhou is more consistent with Chengdu than other provinces. HLA haplotypes of two and/or three loci have been reported in various worldwide populations[24], which show great difference from the population of Guizhou in haplotype distribution. The most common haplotype in Guizhou is A*02-B*46-DRB1*09, which is the same as that in Chengdu[21]. While in Jiangsu, Shanxi province and Shanghai[15],[13],[22], the most common haplotype is A*30-B*13-DRB1*07. While in Yunnan province, A*24-B*15-DRB1*15 is the most common haplotype with a frequency of 4.1%, followed by A*24-B*46-DRB1*08 (3.5%) and A*24-B*15-DRB1*12(2.9%)[23]. However, these three haplotypes are relatively rare in Guizhou province. The distribution of the HLA-A, -B, and -DRB1 alleles () showed that the majority of Guizhou population harbor the common alleles, which means that most patients for homologous stem cell transplantation (HSCT) would readily find HLA-A, -B, and -DRB1 matched donors in CMDP Guizhou registry if they carry those common alleles. HLA haplotype estimate is a valuable tool in the management of donor registries. It has been used to project how many donors would be needed to achieve a certain probability of finding an HLA-matched donor. Another useful application of the haplotype frequency is to predict the probability that a donor typed at low or intermediate-resolution would match a specific patient at high resolution. Besides, HLA haplotype provides valuable information in tracing the source of historical genetic inputs. In summary, the present study reported HLA-A, -B, and -DRB1 allele frequencies and haplotype frequencies in Guizhou population. The results would be useful as baseline data for donor selection of hematopoietic stem cell or solid organ transplantation, anthropology studies and HLA disease association analysis.
Table 6

The relative strongest linkage equilibrium between HLA-A and -DRB1

HaplotypeObserved frequencies (%)Expected frequencies (%)DD′r2chi-square
A*30-DRB1*072.300.1700.6970.3031739.976
A*33-DRB1*032.850.370.0250.5370.1901094.590
A*29-DRB1*100.380.010.0400.5040.118675.721
A*01-DRB1*100.580.030.0060.3570.102588.272
A*02-DRB1*098.084.870.0380.3490.052298.950
A*33-DRB1*131.670.420.0130.5370.049279.805
A*11-DRB1*126.074.000.0250.2760.026147.557
A*02-DRB1*030.361.540.012-0.8080.01587.747
A*11-DRB1*155.684.160.0180.1910.01374.271
A*11-DRB1*070.381.580.012-0.7360.01374.900
A*02-DRB1*130.561.74-0.010-0.6000.01054.862
  19 in total

1.  Analysis of the distribution of HLA-B alleles in populations from five continents.

Authors:  F Williams; A Meenagh; C Darke; A Acosta; A S Daar; C Gorodezky; M Hammond; E Nascimento; D Middleton
Journal:  Hum Immunol       Date:  2001-06       Impact factor: 2.850

2.  A note on exact tests of Hardy-Weinberg equilibrium.

Authors:  Janis E Wigginton; David J Cutler; Goncalo R Abecasis
Journal:  Am J Hum Genet       Date:  2005-03-23       Impact factor: 11.025

3.  The distribution of HLA alleles revealed a founder effect in the geographically isolated Chinese population, Drung.

Authors:  Shangwu Chen; Qingsong Hu; Zehuan Liu; Yonggui Fu; Jianghai Lin; Hong Tao; Yuping Wu; Anlong Xu
Journal:  Mol Immunol       Date:  2006-10-27       Impact factor: 4.407

4.  G. H. Hardy (1908) and Hardy-Weinberg equilibrium.

Authors:  A W F Edwards
Journal:  Genetics       Date:  2008-07       Impact factor: 4.562

5.  Large-scale DNA-based typing of HLA-A and HLA-B at low resolution is highly accurate specific and reliable.

Authors:  C K Hurley; M Maiers; J Ng; D Wagage; J Hegland; J Baisch; R Endres; M Fernandez-Vina; U Heine; S Hsu; M Kamoun; Y Mitsuishi; D Monos; H Noreen; L Perlee; S Rodriguez-Marino; A Smith; P Stastny; M Trucco; S Y Yang; N Yu; R Holsten; R J Hartzman; M Setterholm
Journal:  Tissue Antigens       Date:  2000-04

6.  HLA-A, HLA-B, and HLA-DRB1 alleles and haplotypes in Naxi and Han populations in southwestern China (Yunnan province).

Authors:  L Shi; S B Xu; J Ohashi; H Sun; J K Yu; X Q Huang; Y F Tao; L Yu; S Horai; J Y Chu; K Tokunaga
Journal:  Tissue Antigens       Date:  2006-01

7.  World Marrow Donor Association guidelines for use of HLA nomenclature and its validation in the data exchange among hematopoietic stem cell donor registries and cord blood banks.

Authors:  W Bochtler; M Maiers; M Oudshoorn; S G E Marsh; C Raffoux; C Mueller; C K Hurley
Journal:  Bone Marrow Transplant       Date:  2007-04-16       Impact factor: 5.483

8.  [Gene and haplotype frequencies for the loci HLA-A, B and DRB1 in 11755 north Chinese Han bone marrow registry donors].

Authors:  Qiang-Ju Wu; Meng-Li Liu; Jun Qi; Sheng Liu; Yan Zhang; Xiao-Qian Wei
Journal:  Zhongguo Shi Yan Xue Ye Xue Za Zhi       Date:  2007-04

9.  The polymorphism and haplotype analysis of HLA-A, -B and -DRB1 genes of population in Jiangsu province of China.

Authors:  K R Miao; Q Q Pan; R C Tang; X P Zhou; S Fan; X Y Wang; X Zhao; M Xue; X Y Zhou; C Y Wang
Journal:  Int J Immunogenet       Date:  2007-12       Impact factor: 1.466

10.  HLA-A, -B, -DR haplotype frequencies from DNA typing data of 26,266 Chinese bone marrow donors.

Authors:  Ke-Ming Du; Yun Ji; Jun-Hua Xie; Min Fu; Ying Sun; Ye Jin; Ji-Li Sun; Jian-Hao Yang; Zheng Zhang; Zhen Mao; Da-Zhuang Liu; Kai-Cheng Qian; Tong-Mao Zhao
Journal:  Hum Immunol       Date:  2007-05-24       Impact factor: 2.850

View more
  6 in total

Review 1.  New strategies for improving stem cell therapy in ischemic heart disease.

Authors:  Peisen Huang; Xiaqiu Tian; Qing Li; Yuejin Yang
Journal:  Heart Fail Rev       Date:  2016-11       Impact factor: 4.214

2.  The evolutionary dynamics and epidemiological history of hepatitis C virus genotype 6, including unique strains from the Li community of Hainan Island, China.

Authors:  Ru Xu; Elihu Aranday-Cortes; E Carol McWilliam Leitch; Joseph Hughes; Joshua B Singer; Vattipally Sreenu; Lily Tong; Ana da Silva Filipe; Connor G G Bamford; Xia Rong; Jieting Huang; Min Wang; Yongshui Fu; John McLauchlan
Journal:  Virus Evol       Date:  2022-02-16

3.  Banking on iPSC--is it doable and is it worthwhile.

Authors:  Susan Solomon; Fernando Pitossi; Mahendra S Rao
Journal:  Stem Cell Rev Rep       Date:  2015-02       Impact factor: 5.739

4.  High-Resolution HLA-A Typing in Normal Iranian Population

Authors:  Azadeh Hadadianpour; Mohammad Hasan Samiee Aref; Sirous Zeinali
Journal:  Iran Biomed J       Date:  2017-09-27

5.  Development of a humanized HLA-A30 transgenic mouse model.

Authors:  Meng-Min Zhu; Bo-Wen Niu; Ling-Ling Liu; Hua Yang; Bo-Yin Qin; Xiu-Hua Peng; Li-Xiang Chen; Yang Liu; Chao Wang; Xiao-Nan Ren; Chun-Hua Xu; Xiao-Hui Zhou; Feng Li
Journal:  Animal Model Exp Med       Date:  2022-07-06

6.  Diversity of extended HLA-DRB1 haplotypes in the Finnish population.

Authors:  Annika Wennerström; Efthymia Vlachopoulou; L Elisa Lahtela; Riitta Paakkanen; Katja T Eronen; Mikko Seppänen; Marja-Liisa Lokki
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

  6 in total

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