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

    2011-12-23 03:56:40QinqinPanSuFanXiaoyanWangXingZhaoMengPanChengyaWangJieShen
    THE JOURNAL OF BIOMEDICAL RESEARCH 2011年5期

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

    HLA Laboratory, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China. Received 27 Auguest 2010, Revised 30 October 2010, Accepted 23 March 2011

    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 HLAA, -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/A280was 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

    The results of linkage disequilibrium (LD) test between two pairs loci are summarized in Table 5-7 ranked by the LD parameter, r2value. 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%).

    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 r2were given in detail elsewhere[9].

    RESULTS

    Hardy-Weinberg equilibrium examination

    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 Table 2. The HLA allele distribution (Table 3) 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 1 The Hardy-Weinberg equilibrium of HLA-A, -B, and -DRB1 loci in Guizhou population

    Allele frequencies

    Hardy-Weinberg exact tests were performed on the three HLA loci. The observed, expected homozygosities and the statistical P value are given in Table 1. 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].

    Haplotype frequencies and linkage disequilibrium (LD)

    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.

    Table 2 Frequencies of HLA-A, -B, and DRB1 alleles in Guizhou population (N = 2,879×2)

    Table 3 Distribution of HLA-A, -B, and -DRB1 genes

    Linkage disequilibrium

    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.

    HLA haplotypes of two and/or three loci have been reported in various worldwide populations[24,27], 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.

    Table 4 Common haplotypes in Guizhou population occurring at a frequency over 1%

    Table 5 The relative strongest linkage equilibrium between HLA-A and -B

    Table 6 The relative strongest linkage equilibrium between HLA-A and -DRB1

    Table 7 The relative strongest linkage equilibrium between HLA-B and -DRB1

    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 Table 8, 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(%)

    DISCUSSION

    The haplotypes of A-B-DRB1, A-B, B-DRB1, and A-DRB1 occurring at frequency over 1% are sum-marized in Table 4. 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%).

    世界欠了中國人一個諾貝爾獎!世界更欠了趙忠堯一個諾貝爾獎!可趙忠堯卻對此毫不在意,因為他遠渡重洋不是為了學位,更不是為了拿諾獎,而是為自己的國家和民族學到最前沿的科學和技術(shù)!

    The distribution of the HLA-A, -B, and -DRB1 alleles (Table 2) 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.

    近日,在首屆中國國際進口博覽會上(CIIE),賽默飛世爾科技(以下簡稱賽默飛)攜新品亮相醫(yī)療器械及醫(yī)藥保健展區(qū),全面展示在醫(yī)療健康、制藥與生物制藥、食品安全以及環(huán)境監(jiān)測等領(lǐng)域的前沿科技和數(shù)字化解決方案,呈現(xiàn)其深耕中國35年來的本土化創(chuàng)新成果。

    在水平段的鉆進過程中,氣測值的低值區(qū)有時會被誤認為鉆遇了非儲層,但通過隨后的隨鉆測井數(shù)據(jù)得知鉆遇的依然是儲層(圖1);進入E區(qū)后氣測值雖稍有降幅,但其甲烷相對含量驟然下降,可初步判斷鉆遇非儲層或鉆出油氣層,再結(jié)合巖性上的變化綜合判斷。

    其中,第1到第i個基分類器作為樣本錯誤檢驗模型。根據(jù)公式1可以發(fā)現(xiàn),集成學習準確率pensemble提升的基本條件在于:一是各基分類器的相關(guān)性低;二是各基分類器的查準率p高于0.5;三是有一定數(shù)量的基分類器。因此,提升基分類器的差異化有助于提升集成學習的預測精度(MSE,Mean Squared Error)[16]。

    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.

    例13的謎底是“亞(亞)”,例14的謎底是“災(災)”。例15是20世紀50年代初的產(chǎn)物,對國民黨政治人物頗多罵詈揶揄,其“師”諧“絲”(即形近絞絲旁者。普通話zh、z組聲母拼開口呼的字,當?shù)囟甲xz組聲母),謎底是“藥”(藥)。例16頗有文學色彩,其謎底為“蘇(蘇)”。對于從小就學習簡化字并且在簡化字氛圍中長大、認識繁體字不多的大陸年輕人來說,這類謎語猜起來當然費勁,其淘汰是極有可能的。一些系列字謎也因為謎底中有繁體字而令猜謎者難以展開,如謎底為“特來討煙”的謎語:

    Acknowledgements

    We are grateful to each volunteer who has registered in the CMDP to offer a stranger a second chance at life.

    [1] Hughes AL, Nei M. Maintenance of MHC polymorphism. Nature 1992;355:402.

    [2] Robinson J, Valler MJ, Parham P. IMGT/HLA and IMGT/MHC: sequence databases for the study of the major histocompatibility complex. Nucleic Acids Res 2003; 31:311.

    [3] Robinson J, Waller MJ, Parham P, de Groot N, Bontrop R, Kennedy LJ, et al. 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. Bone Marrow Transplant 2007;39:737.

    [4] Gourraud PA, Lamiraux P, E1-Kadhi N, Raffoux C, Cambon-Thomsen A. Inferred HLA haplotype information for donors from hematopoietic stem cells donor registries. Hum Immunol 2005;66:563-70.

    [5] Hurley CK, Maiers M, Ng J, Wagage D, Hegland J, Baisch J, et al. Large-scale DNA-based typing of HLAA and HLA-B at low resolution is highly accurate, specific, and reliable. Tissue Antigens 2000;55:352.

    [6] Middleton D, Williams F, Hamill MA, Meenagh A. Frequency of HLA-B alleles in a caucasoid population determined by a two-stage PCR-SSOP typing

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