AS_genotyping
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010002476 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:HC genotyping data for lead SNPs using Illuminia Global Array V2.0
| EGAD00010002475 | EGA
Project description:Genotyping data on 192 schizophrenia cases and 181 healthy controls was generated using Psych Array V 1.3 Aim: To identify CNVs and SNPs associated with increased risk of schizophrenia
2024-01-16 | GSE242813 | GEO
Project description:Porcine 60K BeadChip genotyping arrays (Illumina) are increasingly being applied in pig genomics to validate SNPs identified by re-sequencing or assembly-versus-assembly method. Here we report that more than 98% SNPs identified from the porcine 60K BeadChip genotyping array (Illumina) were consistent with the SNPs identified from the assembly-based method. This result demonstrates that whole-genome de novo assembly is a reliable approach to deriving accurate maps of SNPs.
2016-07-05 | GSE83910 | GEO
Project description:Crossbreeding has been an effective method to improve crossbred performance in pig industry. To have a global view of a classic three-way crossbreeding system of Duroc x (Landrace x Yorkshire) (DLY), we identified SNPs for each pig breed and crossbred individual originated from a DLY pig family to estimate the influence of purebreds on crossbred offspring using whole-genome sequencing. To confirm the accuracy of the SNPs identified by whole-genome sequencing, therefore, we performed the porcine 60K BeadChip genotyping array (Illumina) for each sequenced pig individual.
2018-12-05 | GSE123327 | GEO
Project description:The Pacific oyster (Crassostrea gigas) is a kind of marine bivalve of great economic and ecological importance and is among the animals possessing the highest level of genome DNA variations. Despite large efforts made for the discovery of Pacific oyster SNPs in many research groups, challenge still remains as how to utilize SNPs in a high-throughput, transferable and economical manner. In the study, we constructed an oyster 190K SNP array with Affymetrix Axiom genotyping technology. A total of 190,420 SNPs were designed on the chip, which were selected from 54 M SNPs identified by re-sequencing of more than 400 Pacific oysters. Genotyping results from 96 wild oysters indicated that 133,984 (70.4%) SNPs were polymorphic and successfully converted on the chip. Carrying 133K polymorphic SNPs, the oyster 190K SNP array is the first high density SNP chip with the largest throughput currently in mollusc and is commercially available to the worldwide research community.
2017-03-22 | GSE94633 | GEO
Project description:Genotyping arrays are tools for high throughput genotyping, which is required in genome-wide association studies (GWAS). Since the first cucumber genome draft was reported, genetic maps were constructed mainly based on simple-sequence repeats (SSRs) or on combinations of SSRs and other sequence-related amplified polymorphism (SRAP). In this study we developed the first cucumber genotyping array which consisted of 32,864 single nucleotide polymorphisms (SNPs). These markers cover the cucumber genome every 2.1Kb and have parents/F1 hybridizations as a training set. The training set was validated with Fludigm technology and had 98% concordance. The application of the genotyping array was illustrated by constructed a genetic map of 600 cM in length based on recombinant inbred lines (RIL) population of a 9930XGy14 cross of which compromise of 11564 SNPs. The markers collinearity between the genetic map and genome references of the two parents estimated as R2=0.97. Moreover, this comparison supports a translocation in the beginning of chromosome 5 that occurred in the lineage of 9930 and Gy14 as well as local variation in the recombination rate. We also used the array to investigate the local allele frequencies along the cucumber genome and found specific region with segregation distortions. We believe that the genotyping array together with the training set would be a powerful tool in applications such as quantitative-trait loci (QTL) analysis and GWAS.
2015-05-01 | GSE57294 | GEO
Project description:Via a GWA study, several SNPs have been identified as markers capable of predicting prognosis of lung cancer patients receiving TKIs therapy as first-line treatment. In order to get insights into how these genetic variants are linked to traits of interest, we conducted a genome-wide eQTL study by integrated analyses of SNP genotyping array data and gene expression array data of 115 subjects of lung adenocarcinoma. Our study successfully identified several SNPs as eQTLs, whose genotype were significantly associated with expression levels of several already known genes related to lung cancer.
2016-04-30 | GSE46539 | GEO
Project description:To accelerate genetic studies in sugarcane, an Axiom Sugarcane100K single nucleotide polymorphism (SNP) array was designed and customized in this study. Target enrichment sequencing 300 sugarcane accessions selected from the world collection of sugarcane and related grass species yielded more than four million SNPs, from which a total of 31,449 single dose (SD) SNPs and 68,648 low dosage (33,277 SD and 35,371 double dose) SNPs from two datasets respectively were selected and tiled on Affymetrix Axiom SNP array. Most of selected SNPs (91.77%) were located within genic regions (12,935 genes), with an average of 7.1 SNPs/gene according to sorghum gene models. This newly developed array was used to genotype 469 sugarcane clones, including one F1 population derived from cross between Green German and IND81-146, one selfing population derived from CP80-1827, and 11 diverse sugarcane accessions as controls. Results of genotyping revealed a high polymorphic SNP rate (77.04%) among the 469 samples. Three linkage maps were constructed by using SD SNP markers, including a genetic map for Green German with 3,482 SD SNP markers spanning 3,336 cM, a map for IND81-146 with 1,513 SD SNP markers spanning 2,615 cM, and a map for CP80-1827 with 536 SD SNP markers spanning 3,651 cM. Quantitative trait loci (QTL) analysis identified a total of 18 QTLs controlling Sugarcane yellow leaf virus resistance segregating in the two mapping populations, harboring 27 disease resistant genes. This study demonstrated the successful development and utilization of a SNP array as an efficient genetic tool for high throughput genotyping in highly polyploid sugarcane.
2019-12-17 | GSE128450 | GEO
Project description:Porcine 60K BeadChip genotyping arrays (Illumina) are increasingly being applied in pig genomics to validate SNPs identified by re-sequencing or assembly-versus-assembly method. Here we report that more than 98% SNPs identified from the porcine 60K BeadChip genotyping array (Illumina) were consistent with the SNPs identified from the assembly-based method. This result demonstrates that whole-genome de novo assembly is a reliable approach to deriving accurate maps of SNPs. To compare SNPs identified by genotyping arrays and de novo assembly method, we genotyped 10 pig breeds by porcine 60K BeadChip genotyping array (Illumina), including 1 berkshire pig, 1 hampshire pig, 1 landrace pig, 1 large white pig,1 piétrain pig, 1 bamei pig,1 jinhua pig, 1 meishan pig, 1 rongchang pig and 1 Tibetan wild boar.
2016-07-05 | E-GEOD-83910 | biostudies-arrayexpress