Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The Complete Genome of a Single Individual by Massively Parallel DNA Sequencing

ABSTRACT: The association of genetic variation with disease and drug response, together with improvements in nucleic acids technologies, has given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome has prevented the routine application of sequencing methods to deciphering complete individual human genomes, and has so far limited the realization of the full potential of genomics for science and human health. Working towards the goal of harnessing the power of genomics, we sequenced the diploid genome of a single individual, Dr. James D. Watson, using a massively-parallel method of sequencing in picoliter size reaction vessels. Here we report the results of genotyping the subject's DNA using an Affymetrix 500k GeneChip as well as copy number variations as reported by Agilent 244k comparative genomic hybridization arrays. Keywords: Genotyping, copy number variation (CNV), aCGH

ORGANISM(S): Homo sapiens

PROVIDER: GSE10668 | GEO | 2008/02/29

SECONDARY ACCESSION(S): PRJNA107641

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The Complete Genome of a Single Individual by Massively Parallel DNA Sequencing

Project description:The association of genetic variation with disease and drug response, together with improvements in nucleic acids technologies, has given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome has prevented the routine application of sequencing methods to deciphering complete individual human genomes, and has so far limited the realization of the full potential of genomics for science and human health. Working towards the goal of harnessing the power of genomics, we sequenced the diploid genome of a single individual, Dr. James D. Watson, using a massively-parallel method of sequencing in picoliter size reaction vessels. Here we report the results of genotyping the subject's DNA using an Affymetrix 500k GeneChip as well as copy number variations as reported by Agilent 244k comparative genomic hybridization arrays. Keywords: Genotyping, copy number variation (CNV), aCGH Affymetrix Gene Chip 500: Duplicate genomic DNA samples from JW's lymphocytes, 250 ng each, were annealed to the Affymetrix 250K NspI and 250K StyI arrays according to the manufacturer's protocol. Genotypes were determined using the Bayesian Robust Linear Model with Mahalanobis distance classifier (BRLMM) algorithm provided by Affymetrix in the GeneChip Genotyping Analysis software v. 4.0. Agilent 244k Whole Human Genome Oligo Microarray: 2 ug of DNA from experimental (JW) and reference samples were processed according to Agilent protocols with some modification. Reference samples were procured from the standard reference Caucasian male, Kleberg Cytogenetics Laboratory, Baylor College of Medicine (Chip 1) and Coriell number NA10851 (Chip 2).

2010-05-26 | E-GEOD-10668 | biostudies-arrayexpress

Homo sapiens

Project description:Genome sequence of Dr. James D. Watson.

| PRJNA28335 | ENA

Polyploidy can drive rapid adaptation in yeast

Project description:Analysis of copy number variation in evolved haploid, diploid, tetraploid strains.

2015-02-28 | GSE51017 | GEO

Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios

Project description:Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aberrations such as loss-of-heterozygosity (LOH). Methods developed for normalization of WGG arrays have mostly focused on diploid, normal samples. However, for cancer samples genomic aberrations may confound normalization and data interpretation. Therefore, we examined the effects of the conventionally used normalization method for Illumina Infinium arrays when applied to cancer samples. We demonstrate an asymmetry in the detection of the two alleles for each SNP, which deleteriously influences both allelic proportions and copy number estimates. The asymmetry is caused by a remaining bias between the two dyes used in the Infinium II assay after using the normalization method in Illumina’s proprietary software (BeadStudio). We propose a quantile normalization strategy for correction of this dye bias. We tested the normalization strategy using 535 individual hybridizations from 10 data sets from the analysis of cancer genomes and normal blood samples generated on Illumina Infinium II 300k version 1 and 2, 370k and 550k BeadChips. We show that the proposed normalization strategy successfully removes asymmetry in estimates of both allelic proportions and copy numbers. Additionally, the normalization strategy reduces the technical variation for copy number estimates while retaining the response to copy number alterations. The proposed normalization strategy represents a valuable low-level analysis tool that improves the quality of data obtained from Illumina Infinium arrays, in particular when used for LOH and copy number variation studies.

2008-10-04 | GSE11977 | GEO

Identification of potential genomic alterations in primary and recurrent synovial sarcoma

Project description:This study aimed to analyze the mutated genes of primary and recurrent SSs (PRSSs), to discover whether these sarcomas exhibit some potential mutated genes between primary and recurrent cases Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aberrations such as loss-of-heterozygosity (LOH). Methods developed for normalization of WGG arrays have mostly focused on diploid, normal samples. However, for cancer samples genomic aberrations may confound normalization and data interpretation. Therefore, we examined the effects of the conventionally used normalization method for Illumina Infinium arrays when applied to cancer samples.

2021-06-25 | GSE178828 | GEO

Population structure and ancestry of Qinchuan cattle by GeneSeek HD Bovine 77k Genotyping BeadChip

Project description:GeneSeek HD Bovine 77k Genotyping array is used to estimate population structure and ancestry of bovine and evaluate loci responsible for complex traits. Further, copy number variation of bovine can be estimated by GeneSeek HD Bovine 77k Genotyping array. Here, we estimate population structure and ancestry of Qinchuan cattle.

2017-06-15 | GSE100038 | GEO

NimbleGen 42M data for the HuRef individual

Project description:The ideal genome sequence for medical interpretation is complete and diploid, capturing the full spectrum of genetic variation. Toward this end, there has been progress in discovery of single nucleotide polymorphism (SNP) and small (<10bp) insertion/deletions (indels), but annotation of larger structural variation (SV) including copy number variation (CNV) has been less comprehensive, even with available diploid sequence assemblies. We applied a multi-step sequence and microarray-based analysis to identify numerous previously unknown SVs within the first genome sequence reported from an individual.

2013-02-12 | GSE20289 | GEO

Agilent custom 24M array CGH data for the HuRef individual

2013-02-12 | GSE20288 | GEO

Agilent custom 244K array CGH data for the HuRef individual

2013-02-12 | GSE20287 | GEO

Illumina SNP and CNV data for the HuRef individual

2013-02-12 | GSE20284 | GEO