The largest database of trusted experimental protocols

22 protocols using genomic dna kit

1

Genotyping of WLS Gene SNPs

Check if the same lab product or an alternative is used in the 5 most similar protocols

WLS tagging SNPs (tagSNPs) were selected from the 1000 Genomes Chinese Han Beijing population (CHB) using Haploview23 (link). SNPs with minor allele frequencies (MAF) ≥0.05 were selected based on pairwise tagging with an r2 threshold of 0.5. A final set of 40 tag SNPs was selected within the WLS gene (Supplemental Table S1). Genomic DNA was extracted from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific Inc., California, USA). Genotyping was performed for all SNPs using the Sequenom Mass ARRAY RS1000 system (Sequenom, San Diego, California, USA). The results were processed using Typer Analyzer software (Sequenom), and genotype data were generated from the samples24 (link).
+ Open protocol
+ Expand
2

Genotyping Chinese Han Population

Check if the same lab product or an alternative is used in the 5 most similar protocols
We searched for all SNPs with minor allele frequencies (MAFs) ≥ 0.02 within the region of the MDM4 gene in the 1000 Genomes Project Chinese Han Beijing population database. MAF ≥ 0.02 and tagging r2 ≥ 0.8 were used as a screening standard in the selection of tag SNP, which generated 24 tag SNPs for our study. As a result, these 24 tag SNPs (rs3014610, rs2169137, rs117139931, rs137991330, rs4252707, rs190876924, rs12024619, rs72644182, rs117137314, rs76605997, rs76432362, rs116854458, rs12138846, rs61421373, rs191840558, rs116907825, rs115517182, rs12567161, rs150337092, rs80242302, rs3789044, rs3789043, rs884108 and rs61817485) were included in further analyses. All our selected SNPs had P values greater than 0.05 by the HWE test. Commercial kits were used to extract genomic DNA from peripheral blood leukocytes (Genomic DNA kit, Axygen Scientific Inc., CA, USA). Genotyping was conducted for 24 selected SNPs by using the platform of Sequenom Mass ARRAY RS1000 system (Sequenom, San Diego, CA, USA). Typer Analyzer software (Sequenom, San Diego, California, USA) was used to process signal results to ultimately generate genotype data20 (link). Case and control statuses were blinded during all genotyping processes for quality control. Five percent of the random samples were repeated, and the results were 100% concordant.
+ Open protocol
+ Expand
3

SNP Selection and Genotyping in LTBP3 Gene

Check if the same lab product or an alternative is used in the 5 most similar protocols
For SNP selection, 1000 Genomes Chinese Han Beijing (CHB) data were used as reference data. We extracted all SNPs with MAFs greater than 0.03 within the LTBP3 gene region in 1000 Genome CHB data, resulting in a SNP set of 19. Then, tag SNPs (r2≥0.8) were identified within this SNP set based on the method proposed by Gabriel et al. [14 (link)]. Finally, a total of 9 tag SNPs located within the LTBP3 gene region were selected for genotyping (Supplementary Table S1). We extracted genomic DNA from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA Kit, Axygen Scientific, Inc., CA, U.S.A.). A high-throughput Sequenom MassARRAY platform (Sequenom, San Diego, CA, U.S.A.) was utilized for SNP genotyping. Briefly, the signals from the platform were automatically analyzed using Sequenom Typer 4.0 software, and genotype data were generated from the processed results [15 (link)]. To estimate the genotyping quality, 5% of random samples were repeated for genotyping. With a concordance rate of 100%, the quality of genotyping data was confirmed. The case/control status of the samples was blinded to the technicians during the genotyping process [16 (link)].
+ Open protocol
+ Expand
4

Comprehensive SNP Analysis of FAM35A Gene

Check if the same lab product or an alternative is used in the 5 most similar protocols
We searched for all SNPs with minor allele frequencies (MAF) ≥0.01 within the region of the FAM35A gene in the 1000 Genomes Chinese Han Beijing population (CHB). Then, MAF ≥ 0.01 with pair-wise tagging and r2 ≥ 0.8 were used as the cut-off criteria during tag SNP selection, which generated 31 tag SNPs covering the region of the FAM35A gene for our study. Basic information on the 31 selected SNPs is summarized in the Supplemental Table S1. As we can see from this table, most of our selected SNPs are located at the intronic region. All of our selected SNPs had P values greater than 0.05 on the Hardy-Weinberg equilibrium test. Genomic DNA was extracted from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific Inc., California, USA). Genotyping was performed for all SNPs using the Sequenom Mass ARRAY RS1000 system (Sequenom, San Diego, California, USA). The results were processed using Typer Analyzer software, and genotype data were generated from the samples. Case and control statuses were blinded during all genotyping processes for quality control. Five percent of the random samples were repeated, and the results were 100% concordant.
+ Open protocol
+ Expand
5

SNP Genotyping of GZMB Gene

Check if the same lab product or an alternative is used in the 5 most similar protocols
SNPs with a minor allele frequency (MAF) >0.01, heterozygosity >0.2 and located within the GZMB gene region were extracted for genotyping based on the 1000 genome CHB data. Overall, 15 SNPs were obtained. Genomic DNA was extracted from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific Inc., CA, USA). Genotyping was performed for all SNPs using the MassARRAY platform (Sequenom, San Diego, CA, USA). The genotyping results were generated and processed by using Typer Analyzer software (Sequenom)22 (link). The final genotyping call rate for each SNP was greater than 99%, and the overall genotyping call rate was 99.9%. The quality of our genotyping results ensured the reliability of further statistical analyses.
+ Open protocol
+ Expand
6

SNP Genotyping of SOX9 Gene

Check if the same lab product or an alternative is used in the 5 most similar protocols
Tagged SNPs located within gene regions with minor allele frequency (MAF) > 0.01 in SOX9 in 1000 Chinese Han genomes were chosen for genotyping. Algorithm Tagger integrated in Haploview [12 (link)] was used for SNP tagging, and the r2 criterion used for tagging was 0.8 for both gene regions. The r2 criterion was used for tagging. A total of 7 candidate SNPs were selected for genotyping in this study.
Genomic DNA was isolated from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific, Inc., CA, USA). SNP genotyping was performed using the high-throughput Sequenom MassARRAY platform with iPLEX GOLD chemistry (Sequenom, San Diego, CA, USA) based on the manufacturer’s protocols. The results were processed using Sequenom Typer 4.0 software, and genotype data were generated from the samples [13 (link)]. The case and control sample results were blinded for quality control during genotyping processes [14 (link)], and 5% of samples were randomly processed with a concordance of 100%.
+ Open protocol
+ Expand
7

Genotyping of XPA SNPs

Check if the same lab product or an alternative is used in the 5 most similar protocols
TaqMan SNP genotyping assays were used to confirm genotypes for rs10817938 and rs2808668 at the XPA gene. Approximately 2 ml blood was collected from each subject into an EDTA tube. Genomic DNA was isolated using a Genomic DNA kit (Axygen, CA, USA) according to the manufacturer’s instructions and stored at -20°C until use. Genotyping of rs10817938 and rs2808668 polymorphisms was performed using custom TaqMan SNP genotyping assays (C__31012492_20 for rs10817938 and C__9312100_20 for rs2808668, ThermoFisher, OK, USA). Genotyping and allele analysis were conducted with TaqMan genotyping master mix (ThermoFisher) and an ABI Prism 7900HT genetic detection system according to the manufacturer’s instructions in a final volume of 25 μL including 12.50 μL master mix, 1.25 μL of assay Mix, 11.25 μL of ddH20. PCR conditions were as follows: 95°C for 15 s, 60°C for 1 min, for 40 cycles. Genotype and allelic frequency were calculated based on allelic discrimination plots using automatic allele analysis. Genotype reproducibility was evaluated in 10% duplicate samples and data were 100% concordant.
+ Open protocol
+ Expand
8

Genotyping of MDM2 Gene Variants

Check if the same lab product or an alternative is used in the 5 most similar protocols
Genomic DNA was extracted from blood samples using a Genomic DNA kit (Axygen, CA, USA) according to the manufacturer’s protocol and genomic DNA samples were stored at −20 °C until use. Three validated SNPs rs937283, rs2279744 and rs769412 in the MDM2 gene that were previously found to be associated with cancer development were analyzed. Genotyping for these three SNPs was performed using custom TaqMan® SNP Genotyping Assays. Genotyping or allele analysis was carried out with the ABI Prism 7900HT genetic detection system with Taqman® Genotyping Master Mix (ThermoFisher, OK, USA). The final volume of the PCR system was 25 μL including 12.50 ul of Master Mix, 1.25 ul of Assay Mix, 11.25 ul of ddH20, the PCR conditions were as follows: 95 °C for 15 s, 60 °C for 1 min, for 40 cycles. The allelic discrimination plots by automatic allele analysis were shown in Supplementary Fig. S1.
+ Open protocol
+ Expand
9

Genotyping of GRB2 Gene SNPs

Check if the same lab product or an alternative is used in the 5 most similar protocols
SNPs located within the GRB2 gene region, with a minor allele frequency (MAF) >0.05, were searched in the 1000-genomes CHB database. An r2 ≥0.8 was used as the cutoff criteria in pairwise tagging. Overall, 20 tagging SNPs were selected for further genotyping. The basic information for these 20 tagging SNPs is summarized in Supplemental Table S1. All of these 20 SNPs were intronic SNPs of GRB2. Genomic DNA was extracted from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific Inc., CA, USA). The selected tagging SNPs were genotyped using the high-throughput Sequenom MassARRAY platform (Sequenom, San Diego, CA, USA) according to the manufacturer’s protocol. The results were processed using Sequenom Typer 4.0 software to generate genotypic data. For quality control, the disease state of the sample was unknown throughout the genotyping process. The final genotyping call rate for each SNP was greater than 99%, and the overall genotyping call rate was 99.9%. Subsequently, we randomly selected 5% of the samples for regenotyping, and the results were exactly the same as before.
+ Open protocol
+ Expand
10

Genotyping of Tag SNPs in TLR10 and NFKBIA

Check if the same lab product or an alternative is used in the 5 most similar protocols
Tag SNPs covered the gene regions of TLR10 and NFKBIA and were selected for genotyping based on the 1,000 genome data of Chinese Han populations. Minor allele frequency (MAF) > 0.01 and r2 > 0.6 were utilised as criteria for tagging. A total of 23 tag SNPs, 14 from TLR10 and 9 from NFKBIA, were selected for genotyping. Genomic DNA was extracted from peripheral blood leukocytes according to the manufacturer’s protocol (Genomic DNA kit, Axygen Scientific Inc., California, USA). Genotyping was performed for all SNPs using the Sequenom Mass ARRAY RS1000 system (Sequenom, San Diego, California, USA). The results were processed using Typer Analyzer software (Sequenom)29 (link), and the genotype data were generated from the samples. To ensure the accuracy of the genotyping, we have randomly chosen 5% of our study subjects and repeated the genotyping process for them. The concordance rate of this process was 100%, which indicates that the genotyping results of our study were reliable.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!