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15 protocols using puregene system

1

Genomic Ancestry Analysis via MALD

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DNA was extracted from peripheral blood using the PureGene system (Gentra Systems, Minneapolis, MN). The MALD study was based on the streamlined panel of 1,509 ancestry informative marker (AIM) single nucleotide polymorphisms (SNPs) genotyped using the Illumina African American admixture panel covering all 22 autosomes and chromosome X. Genome-wide association study (GWAS) data was obtained from the Illumina Omni5 array inclusive of exome chip content. All genotyping was performed in the Center for Genomics and Personalized Medicine Research at WFSM.
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2

Genotyping RTN1 SNPs for T2D-ESKD

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DNA was extracted from peripheral blood using the PureGene system (Gentra Systems, Minneapolis, MN). RTN1 SNPs of interest were identified utilizing data from a published T2D-ESKD GWAS in AAs [5 (link)]. Imputation was performed using HumanHap36; SNPs with quality scores r2>0.83 were considered. SNP selection (66 directly genotyped and 153 imputed) was based on location within the RTN1 gene region, 10kb proximal flanking sequence and 1.5kb distal flanking sequence were included. Association with T2D-ESKD was considered significant at p<0.05 due to the a priori hypothesis for involvement of RTN1 in ESKD [7 (link)]. Replication genotyping of RTN1 SNPs was performed in all cases and controls utilizing the Sequenom MassArray system (Sequenom, San Diego, CA) in the Center for Genomics at WFSM. SNPs were PCR-amplified using primers designed in Assay Design 3.1 (Sequenom) and genotypes were analyzed using the Typer Analyzer program (Sequenom). Call rates >97% were achieved and quality control was ensured using blind duplicates within each cohort.
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3

Genotypic Imputation of Deceased Donor DNA

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DNA samples from deceased donors were provided by the HLA laboratories at Wake Forest, UAB and Emory. DNA in the Wake Forest discovery sample was extracted from peripheral blood using the PureGene system (Gentra Systems). Directly genotyped data were obtained using the Illumina 5M chip. Genotypic imputation was performed using the 1000 Genomes (phase 1 version 3, cosmopolitan panel).22 (link) Genotyping for the replication analysis was performed using the Sequenom genotyping system (Sequenom Inc).
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4

Genetics of T2D and ESKD in African Americans

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This cross-sectional case-control study was designed to examine the genetics of T2D and ESKD in African Americans [5] (link). Patients with T2D-ESKD were recruited from dialysis facilities. T2D was diagnosed in African Americans who reported developing T2D after the age of 25 years and did not receive only insulin therapy since diagnosis. In addition, cases had at least one of the following three criteria for inclusion: a) T2D diagnosed at least 5 years before initiating renal replacement therapy, b) background or greater diabetic retinopathy by self-report and/or c) ≥100 mg/dl proteinuria on urinalysis in the absence of other causes of nephropathy. Unrelated African American controls without a current diagnosis of diabetes or renal disease were recruited from the community and internal medicine clinics. All T2D-ESKD cases and controls lacking T2D and ESKD were born in North Carolina, South Carolina, Georgia, Tennessee or Virginia. DNA extraction was performed using the PureGene system (Gentra Systems; Minneapolis, MN).
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5

Genome-wide Genotyping for PTSD Genetics

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Whole blood samples were obtained through venipuncture. DNA was extracted from these samples using the Puregene system (Gentra Systems, Minneapolis, MN). Briefly, whole-genome data was generated across three different platforms, including the Illumina HumanHap650 Beadchip, the Illumina Human1M-Duo Beadchip, and the Illumina HumanOmni2.5 Beadchip (Illumina, San Diego, CA) as part of a larger GWAS study on the genetics of PTSD (Ashley-Koch et al., in press ). Quality control procedures included the use of Centre d'Etude du Polymorphism Humain (CEPH) samples as well as masked sample duplicates as controls. Probes were required to have a call rate > 98% and Hardy-Weinberg Equilibrium (HWE) p-values > 10−6 in controls. Missing genotypes were imputed using a global reference panel from The 1000 Genomes Project (www.1000genomes.org) in order to increase genomic coverage and obtain a concordant set of SNPs across the samples genotyped using different chips. Additional details regarding our imputation approach are available in Ashley-Koch et al. in press .
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6

Genomic Data Imputation in GWAS

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DNA in AA-DHS participants was extracted from peripheral blood using the PureGene system (Gentra Systems, Minneapolis, MN). The AA-DHS GWAS utilized the Illumina 5 M chip; the JHS GWAS genotyping was performed with the Affymetrix 6.0 chip. Genotypic data in both studies were imputed to 1000 Genomes (phase 1 version 3, cosmopolitan panel) [21 (link)].
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7

Genetic Variant Analysis in African Americans

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DNA from AA-DHS participants was extracted from peripheral blood using the PureGene system (Gentra Systems, Minneapolis, MN). The AA-DHS GWAS utilized the Illumina 5M chip. Quality control (QC) checks in AA-DHS led to the exclusion of 12 individuals from the analyses: six had call rates <95%, two had discordant self-reported and genetically determined sex, one had a heterozygosity score outside of the mean ±4 times the standard error interval, two had the same sample identifiers and one had 100% European ancestry. GWAS analyses were performed on up to 697 individuals.
Imputation was performed using IMPUTE2 with phased haplotype data obtained from SHAPEIT2 [16 (link)]. Directly genotyped variants with a Hardy-Weinberg Equilibrium (HWE) p-value ≥1x10-04 and a call rate ≥95% were included and imputation was based on 3,436,913 autosomal variants. The multi-ethnic 1,000 Genomes Phase I integrated variant set release (v3) was used as the reference panel. Statistical analysis was performed for imputed variants that had an info score above 50%, a minor allele frequency (MAF) >1% and a HWE p-value ≥1x10-04.
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8

DNA Extraction from Frozen Buffy Coat Samples

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Blood samples were collected by venipuncture at the antecubital fossa during examination 4 (1991–1993), examination 5 (1994–1996) or examination 6 (1997–1999) and stored at − 70 °C. Frozen buffy coat samples were used for extraction of DNA. The PureGene system (Gentra Systems, Inc.) was used to isolate total cellular DNA, which was quantified using PicoGreen staining (Molecular Probes).
Procedures performed were in compliance with institutional guidelines and were approved by the Kuakini Medical Center Institutional Review Board. Written informed consent was obtained at all examinations from study participants or from family representatives if participants were unable to provide consent.
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9

FOXO3 Genotyping and Longevity

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DNA was isolated from the buffy coat of peripheral blood using the PureGene system (Gentra Systems, Minneapolis, MN) and quantified using PureGreen staining (Molecular Probes, Eugene, OR). We selected the FOXO3 longevity-associated allele rs2802292, which has been shown to be strongly correlated with coronary artery disease mortality and longevity in Japanese and other ethnicities (4 (link),5 (link),8 (link),18 (link)). The genotype for SNP rs2802292 (G—longevity associated; TT—not associated with longevity) was assessed using the standard TaqMan PCR method and commercial TaqMan Assays. G-allele carriers represent those participants who carry at least one copy of the G allele (TG or GG genotype).
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10

Genotyping of Eight SNPs in Buccal Swabs

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Genotyping of these eight SNPs was performed using standard methods as follows. Briefly, DNA was extracted from subject buccal swabs using the PureGene system (Qiagen). DNA quality and quantity was verified with spectrophotometry, and sample aliquots were diluted to 10 ng/ul. The DNA dilutions were genotyped in 96-well plate format using ABI/LifeTechnologies TaqMan SNP genotyping assays at the UF Pharmacogenomics Core, with an Applied Biosystems 7900 HT platform. The plates included several blanks and duplicates for quality control. In addition, genotyping of a few random samples was validated by DNA sequencing or restrictions digest of PCR products as a further quality control. Distribution of genotypes, haplotypes and diplotypes is shown in Tables 1 and 2.
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