OBJECTIVE: To establish a genotyping method for Diego, MNS and Kell blood groups based on quantitative real-time PCR (qPCR) technology, and preliminarily apply it to the screening of rare blood groups in blood donors. METHODS: Blood group gene standards containing heterozygous and homozygous alleles were prepared by blood group serological and PCR-SBT methods. Specific amplification primers and hybridization probes were designed, and explore to establish the qPCR method for detecting Diego, MNS, and Kell blood group genotypes. Then the established qPCR method was used to identify blood group genotypes of 186 blood donor samples. RESULTS: A method based on qPCR technology was established to identify Dia/Dib, S/s and K/k blood group antigens. The genotyping results of the gene standard samples were consistent with the serological testing results and genotypes detected by PCR-SBT. qPCR testing of 186 samples identified 11 cases of DI*A/B heterozygosity and 19 cases of GYPB*S/s heterozygosity, and the rest were DI*B/B, GYPB*s/s, KEL*02/02 homozygosity. No rare blood group genotypes of DI*A/A, GYPB*S/S, KEL*01.01/01.01 were found. CONCLUSION The established qPCR method is suitable for genotyping on Diego, MNS and Kell blood group, and it can be used for batch screening of blood donors and the establishment of rare blood group bank.
Humans ; Genotype ; Genotyping Techniques/methods* ; Real-Time Polymerase Chain Reaction/methods* ; Blood Group Antigens/genetics* ; Kell Blood-Group System/genetics* ; Blood Donors ; Blood Grouping and Crossmatching/methods* ; Erythrocytes ; MNSs Blood-Group System/genetics*

Gene expression labeling and conditional manipulation of gene function are important for elaborate dissection of gene function. However, contemporary generation of pairwise dual-function knockin alleles to achieve both conditional and geno-tagging effects with a single donor has not been reported. Here we first developed a strategy based on a flipping donor named FoRe to generate conditional knockout alleles coupled with fluorescent allele-labeling through NHEJ-mediated unidirectional targeted insertion in zebrafish facilitated by the CRISPR/Cas system. We demonstrated the feasibility of this strategy at sox10 and isl1 loci, and successfully achieved Cre-induced conditional knockout of target gene function and simultaneous switch of the fluorescent reporter, allowing generation of genetic mosaics for lineage tracing. We then improved the donor design enabling efficient one-step bidirectional knockin to generate paired positive and negative conditional alleles, both tagged with two different fluorescent reporters. By introducing Cre recombinase, these alleles could be used to achieve both conditional knockout and conditional gene restoration in parallel; furthermore, differential fluorescent labeling of the positive and negative alleles enables simple, early and efficient real-time discrimination of individual live embryos bearing different genotypes prior to the emergence of morphologically visible phenotypes. We named our improved donor as Bi-FoRe and demonstrated its feasibility at the sox10 locus. Furthermore, we eliminated the undesirable bacterial backbone in the donor using minicircle DNA technology. Our system could easily be expanded for other applications or to other organisms, and coupling fluorescent labeling of gene expression and conditional manipulation of gene function will provide unique opportunities to fully reveal the power of emerging single-cell sequencing technologies.
Alleles ; Animals ; CRISPR-Cas Systems ; DNA End-Joining Repair ; DNA, Circular/metabolism* ; Embryo, Nonmammalian ; Gene Editing/methods* ; Gene Knock-In Techniques ; Gene Knockout Techniques ; Genes, Reporter ; Genetic Loci ; Genotyping Techniques ; Green Fluorescent Proteins/metabolism* ; Integrases/metabolism* ; Luminescent Proteins/metabolism* ; Mutagenesis, Insertional ; Single-Cell Analysis ; Zebrafish/metabolism*

Objective To evaluate the effectiveness of single nucleotide polymorphism （SNP） genoty-ping in combination with identity by state （IBS） strategy in full sibling testing. Methods Thirty-five blood samples were collected from a four-generation family. Ninety autosomal SNPs were genotyped using Precision ID Identity Panel. The distribution of IBS scores for full siblings and other relationships were calculated and compared. The relationships were determined using Fisher discriminant function and threshold method, respectively. Results Based on family members and previous research, 44, 30, 111, 71 and 1 000 pairs of full siblings （FS）, grandparent-grandchild （GG）, uncle/aunt-nephew/niece （UN）, first cousins （FC） and unrelated individuals （UI） were obtained, respectively. The average IBS scores were 148, 130, 132, 124 and 120, respectively. Except for the GG and UN pairs, the distribution differences among the other relationships had statistical significance （P<0.05）. The false rates of Fisher discriminant function to determine relationships were 1.3%, 22.3%, 17.0% and 38.7% for FS, GG, UN and FC, respectively. Based on the simulation data, the thresholds t₁=128 and t₂=141 were recommended to determine full sibling relationships （the false rate ≤0.05%）. Conclusion The 90 SNP genetic markers included in the Precision ID Identity Panel meet the testing requirements for full sibling relationships. The threshold method based on IBS has a relatively lower false rate and is more flexible.
Genotype ; Genotyping Techniques/methods* ; Humans ; Polymorphism, Single Nucleotide/genetics* ; Siblings

Identifying antimicrobial resistant (AMR) bacteria in metagenomics samples is essential for public health and food safety. Next-generation sequencing (NGS) technology has provided a powerful tool in identifying the genetic variation and constructing the correlations between genotype and phenotype in humans and other species. However, for complex bacterial samples, there lacks a powerful bioinformatic tool to identify genetic polymorphisms or copy number variations (CNVs) for given genes. Here we provide a Bayesian framework for genotype estimation for mixtures of multiple bacteria, named as Genetic Polymorphisms Assignments (GPA). Simulation results showed that GPA has reduced the false discovery rate (FDR) and mean absolute error (MAE) in CNV and single nucleotide variant (SNV) identification. This framework was validated by whole-genome sequencing and Pool-seq data from Klebsiella pneumoniae with multiple bacteria mixture models, and showed the high accuracy in the allele fraction detections of CNVs and SNVs in AMR genes between two populations. The quantitative study on the changes of AMR genes fraction between two samples showed a good consistency with the AMR pattern observed in the individual strains. Also, the framework together with the genome annotation and population comparison tools has been integrated into an application, which could provide a complete solution for AMR gene identification and quantification in unculturable clinical samples. The GPA package is available at https://github.com/IID-DTH/GPA-package.
Bacteria ; genetics ; Bayes Theorem ; DNA Copy Number Variations ; Genome, Bacterial ; Genotyping Techniques ; High-Throughput Nucleotide Sequencing ; Humans ; Klebsiella pneumoniae ; genetics ; Metagenomics ; methods ; Polymorphism, Genetic ; Software

Deficiency Diseases ; blood ; diagnosis ; genetics ; Genotyping Techniques ; Humans ; Microfluidic Analytical Techniques ; Micronutrients ; deficiency ; Polymorphism, Single Nucleotide ; Precision Medicine ; methods ; Risk Assessment

OBJECTIVETo study the genetic polymorphisms of human leukocyte antigen (HLA)- A, B, C, DRB1, DQA1, DQB1, DPA1and DPB1among ethnic Hans from southern China.

METHODS481 randomly selected individuals were genotyped using a polymerase chain reaction (PCR) sequence-based typing (SBT) method for the above genes. Their allele frequencies were determined by direct counting.

RESULTSIn total, 28 HLA-A, 57 HLA-B, 28 HLA-C, 40 HLA-DRB1, 18 HLA-DQA1, 17 HLA-DQB1, 6 HLA-DPA1and 21 HLA-DPB1alleles were identified. Among these, common alleles (with allelic frequencies > 0.05) included A*1101, A*2402, A*0207, A*3303, A*0201, B*40:01, B*46:01, B*58:01, B*13:01, B*15:02, C*01:02, C*07:02, C*03:04, C*03:02, C*08:01, C*03:03, C*04:01, DRB1*09:01, DRB1*15:01, DRB1*12:02, DRB1*08:03, DRB1*03:01, DRB1*04:05, DRB1*11:01, DQA1*01:02, DQA1*03:02, DQA1*03:03, DQA1*06:01, DQA1*01:03, DQA1*05:05, DQA1*01:04, DQA1*03:01, DQA1*05:01, DQB1*03:01, DQB1*03:03, DQB1*06:01, DQB1*05:02, DQB1*03:02, DQB1*02:01, DQB1*03:02, DQB1*06:02, DPA1*02:02, DPA1*01:03, DPA1*02:01, DPB1*05:01, DPB1*02:01, DPB1*13:01, DPB1*04:01and DPB1*02:02.For each of the locus, the overall frequencies of common alleles were 75.57%, 52.81%, 78.28%, 62.16%, 86.70%, 77.23%, 95.32% and 81.59%, respectively.

CONCLUSIONThe allelic frequencies of the 8 selected HLA loci among ethnic Hans from southern China may served as a reference for anthropology, legal medicine, transplantation and disease association studies.

Alleles ; Asian Continental Ancestry Group ; genetics ; China ; Gene Frequency ; Genotype ; Genotyping Techniques ; methods ; HLA-A Antigens ; genetics ; HLA-B Antigens ; genetics ; HLA-C Antigens ; genetics ; HLA-DP Antigens ; genetics ; HLA-DQ alpha-Chains ; genetics ; HLA-DQ beta-Chains ; genetics ; HLA-DRB1 Chains ; genetics ; Histocompatibility Antigens Class I ; genetics ; Histocompatibility Antigens Class II ; genetics ; Humans ; Linkage Disequilibrium ; Polymerase Chain Reaction ; Polymorphism, Genetic

OBJECTIVETo study genetic polymorphisms of the KIR2DS4 gene among ethnic Hans from southern China.

METHODSGenomic DNA was isolated from 306 unrelated individuals and amplified with KIR2DS4-specific PCR primers. KIR2DS4-positive samples were genotyped for the entire coding sequence by sequencing-based typing (SBT). Assignment of allelic genotypes was accomplished by using Assign 3.5 software. For samples with inconclusive SBT results, RT-PCR products covering the entire coding sequence of the KIR2DS4 gene were subjected to cloning and haplotype sequencing.

RESULTSAmong all tested samples, 297 were demonstrated to have carried the KIR2DS4 framework gene. For KIR2DS4-positive samples subjected to SBT for the entire coding sequences, no background was observed with the obtained sequences. Three of the seven identified alleles were of novel types, which were officially named by the KIR subcommittee of the World Health Organization Nomenclature Committee for Factors of HLA System. The observed frequencies for the 7 alleles were KIR2DS4*00101 (78.8%), *003 (10.5%), *004 (16.0%), *010 (23.2%), *017 (0.3%), *00105 (0.3%) and *018 (0.7%), respectively. Allele KIR2DS4*007 was not found. The overall frequency for normal cell-surface expression KIR2DS4 alleles including 2DS4*00101, *017 and *00105 was 79.4%, and that for non cell-surface expression alleles including 2DS4*003, *004, *010 and *018 was 50.4%. The ratio between the two was 1.6:1.

CONCLUSIONThe present study has elucidated the allelic diversity of KIR2DS4 among ethnic Hans from southern China, which may provide valuable data for transplantation as well as studies on KIR-associated disease and evolution.

Alleles ; Asian Continental Ancestry Group ; genetics ; Base Sequence ; China ; Gene Frequency ; Genotype ; Genotyping Techniques ; methods ; Haplotypes ; Humans ; Polymorphism, Genetic ; Receptors, KIR ; genetics ; Sequence Analysis, DNA ; methods

OBJECTIVETo explore the molecular basis for a CD36 deficiency individual and distribution of CD36 gene mutation in Guangxi population.

METHODSA female individual was studied. CD36 phenotype was detected by monoclonal antibody immobilization of platelet antigens assay (MAIPA) and flow cytometry (FCM). The coding regions of the CD36 gene were sequenced. A DNA-based polymerase chain reaction-sequence specific primer (PCR-SSP) assay was used to verify the identified mutation. Cell lines expressing the mutant and wild-type CD36[CD36(MT) and CD36(WT)] were established, with the expression of CD36 determined by Western blotting. The distribution of CD36 gene mutation was investigated among 1010 unrelated individuals with the PCR-SSP assay.

RESULTSBoth MAIPA and FCM assays showed that the patient had type II CD36 deficiency. DNA sequencing showed that she has carried a heterozygous mutation T538C (Trp180Arg) in the exon 6 of CD36. Sequencing of cDNA clone confirmed that there was a nucleotide substitution at position 538 (538T>C). Western blotting also confirmed that the CD36 did not express on the CD36(MT) cell line that expressed the 538C mutant, but did express on the CD36(WT) cell line. The novel CD36 mutation T538C was further verified with 100% concordance of genotyping results by DNA-based PCR-SSP assay and 1010 unrelated individuals. No CD36 538C allele was detected among the 1010 individuals.

CONCLUSIONThis study has identified a novel CD36 mutation T538C(Trp180Arg)(GenBank: HM217022.1), and established a genotyping method for the novel sequence-specific primer PCR. The novel mutation is rare in Guangxi and can cause type II CD36 deficiency.

Base Sequence ; Blood Platelet Disorders ; genetics ; Blood Platelets ; cytology ; metabolism ; Blotting, Western ; CD36 Antigens ; genetics ; metabolism ; Cells, Cultured ; DNA Mutational Analysis ; DNA Primers ; genetics ; Exons ; genetics ; Female ; Flow Cytometry ; Fluorescent Antibody Technique ; Genetic Diseases, Inborn ; genetics ; Genotype ; Genotyping Techniques ; methods ; Humans ; Middle Aged ; Monocytes ; cytology ; metabolism ; Mutation, Missense ; Polymerase Chain Reaction ; methods

OBJECTIVE: This study was conducted using the human papillomavirus (HPV) DNA chip test (HDC), in order to determine whether the HPV genotype is a predictor of residual disease in a subsequent hysterectomy following a loop electrosurgical excision procedure (LEEP) for cervical intraepithelial neoplasia (CIN) 3. METHODS: Between January 2002 and February 2015, a total of 189 patients who underwent a hysterectomy within 6 months of LEEP caused by CIN 3 were included in this study. We analyzed their epidemiological data, pathological parameters, high-risk HPV (HR-HPV) load as measured by the hybrid capture II assay, and HR-HPV genotype as measured by the HDC. A logistic regression model was used to analyze the relationship between covariates and the probability of residual disease in subsequent hysterectomy specimens. RESULTS: Of the 189 patients, 92 (48.7%) had residual disease in the hysterectomy specimen, CIN 2 in seven patients, CIN 3 in 79 patients, IA1 cancer in five patients, and IA2 cancer in one patient. Using multivariate analysis, the results were as follows: cone margin positivity (odds ratio [OR], 2.43; 95% CI, 1.18 to 5.29; p<0.05), HPV viral load > or =220 relative light unit (OR, 2.98; 95% CI, 1.38 to 6.43; p<0.01), positive endocervical cytology (OR, 8.97; 95% CI, 3.81 to 21.13; p<0.001), and HPV-16 or HPV-18 positivity (OR, 9.07; 95% CI, 3.86 to 21.30; p<0.001). CONCLUSION: The HPV-16 or HPV-18 genotype is a reliable predictive factor of residual disease in a subsequent hysterectomy following a LEEP for CIN 3.
Adult ; Aged ; Aged, 80 and over ; Cervical Intraepithelial Neoplasia/*surgery/virology ; Electrosurgery/methods ; Female ; Genotype ; Genotyping Techniques/methods ; Human papillomavirus 16/genetics/*isolation & purification ; Human papillomavirus 18/genetics/*isolation & purification ; Humans ; Hysterectomy ; Middle Aged ; Neoplasm, Residual ; Papillomavirus Infections/*virology ; Prognosis ; Retrospective Studies ; Uterine Cervical Neoplasms/*surgery/virology ; Viral Load

In order to evaluate the performance of a molecular Hain line probe assay (Hain LPA) for rapid detection of rifampicin and isoniazid resistance of Mycobacterium tuberculosis in China, 1612 smear positive patients were consecutively enrolled in this study. Smear positive sputum specimens were collected for Hain LPA and conventional drug susceptibility testing (DST). The sensitivity and specificity of Hain LPA were analyzed by using conventional DST as golden reference. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for rifampicin resistance detection were 88.33%, 97.66%, 81.54%, and 98.62%, respectively. The sensitivity, specificity, PPV and NPV for isoniazid resistance detection were 80.25%, 98.07%, 87.25%, and 96.78%, respectively. These findings suggested that Hain LPA can be an effective method worthy of broader use in China.
China ; Genotyping Techniques ; methods ; Humans ; Isoniazid ; pharmacology ; Mycobacterium tuberculosis ; drug effects ; genetics ; isolation & purification ; Rifampin ; pharmacology ; Tuberculosis, Multidrug-Resistant ; diagnosis ; microbiology