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- Publisher Website: 10.1093/bioinformatics/btp183
- Scopus: eid_2-s2.0-65649085584
- PMID: 19346322
- WOS: WOS:000266109500025
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Article: IGG3: A tool to rapidly integrate large genotype datasets for whole-genome imputation and individual-level meta-analysis
Title | IGG3: A tool to rapidly integrate large genotype datasets for whole-genome imputation and individual-level meta-analysis | ||||||
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Authors | |||||||
Issue Date | 2009 | ||||||
Publisher | Oxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/ | ||||||
Citation | Bioinformatics, 2009, v. 25 n. 11, p. 1449-1450 How to Cite? | ||||||
Abstract | Summary: There is an urgent and increasing demand for integrating large genotype datasets across genome-wide association studies and HapMap project for whole-genome imputation and individual-level meta-analysis. A new algorithm was developed to efficiently merge raw genotypes across large datasets and implemented in the latest version of IGG, IGG3. In addition, IGG3 can integrate the latest phased and unphased HapMap genotypes and can flexibly generate complete sets of input files for six popular genotype imputation tools. We demonstrated the efficiency of IGG3 by simulation tests, which could rapidly merge genotypes in tens of thousands of large genotype chips (e.g. Affymetrix Genome-Wide Human SNP Array 6.0 and Illumina Human1m-duo) and in HapMap III project on an ordinary desktop computer. © The Author 2009. Published by Oxford University Press. All rights reserved. | ||||||
Persistent Identifier | http://hdl.handle.net/10722/58279 | ||||||
ISSN | 2023 Impact Factor: 4.4 2023 SCImago Journal Rankings: 2.574 | ||||||
ISI Accession Number ID |
Funding Information: Research Grant Council of Hong Kong (HKU7688/05M & HKU7752/08M, YQS); Research Fund for the Control of Infectious Diseases (No. 08070652, to Y.-Q.S.). | ||||||
References | |||||||
Grants |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, MX | en_HK |
dc.contributor.author | Jiang, L | en_HK |
dc.contributor.author | Kao, PYP | en_HK |
dc.contributor.author | Sham, PC | en_HK |
dc.contributor.author | Song, YQ | en_HK |
dc.date.accessioned | 2010-05-31T03:27:19Z | - |
dc.date.available | 2010-05-31T03:27:19Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Bioinformatics, 2009, v. 25 n. 11, p. 1449-1450 | en_HK |
dc.identifier.issn | 1367-4803 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/58279 | - |
dc.description.abstract | Summary: There is an urgent and increasing demand for integrating large genotype datasets across genome-wide association studies and HapMap project for whole-genome imputation and individual-level meta-analysis. A new algorithm was developed to efficiently merge raw genotypes across large datasets and implemented in the latest version of IGG, IGG3. In addition, IGG3 can integrate the latest phased and unphased HapMap genotypes and can flexibly generate complete sets of input files for six popular genotype imputation tools. We demonstrated the efficiency of IGG3 by simulation tests, which could rapidly merge genotypes in tens of thousands of large genotype chips (e.g. Affymetrix Genome-Wide Human SNP Array 6.0 and Illumina Human1m-duo) and in HapMap III project on an ordinary desktop computer. © The Author 2009. Published by Oxford University Press. All rights reserved. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Oxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/ | en_HK |
dc.relation.ispartof | Bioinformatics | en_HK |
dc.rights | Bioinformatics. Copyright © Oxford University Press. | en_HK |
dc.subject.mesh | Algorithms | en_HK |
dc.subject.mesh | Databases, Genetic | en_HK |
dc.subject.mesh | Genome - genetics | en_HK |
dc.subject.mesh | Genome-Wide Association Study | en_HK |
dc.subject.mesh | Genomics - methods | en_HK |
dc.subject.mesh | Genotype | en_HK |
dc.subject.mesh | Information Storage and Retrieval - methods | en_HK |
dc.subject.mesh | Meta-Analysis as Topic | en_HK |
dc.subject.mesh | Software | en_HK |
dc.title | IGG3: A tool to rapidly integrate large genotype datasets for whole-genome imputation and individual-level meta-analysis | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1367-4803&volume=25 &issue=11&spage=1449&epage=1450&date=2009&atitle=IGG3:+a+tool+to+rapidly+integrate+large+genotype+datasets+for+whole-genome+imputation+and+individual-level+meta-analysis | en_HK |
dc.identifier.email | Li, MX: mxli@hku.hk | en_HK |
dc.identifier.email | Sham, PC: pcsham@hku.hk | en_HK |
dc.identifier.email | Song, YQ: songy@hku.hk | en_HK |
dc.identifier.authority | Li, MX=rp01722 | en_HK |
dc.identifier.authority | Sham, PC=rp00459 | en_HK |
dc.identifier.authority | Song, YQ=rp00488 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1093/bioinformatics/btp183 | en_HK |
dc.identifier.pmid | 19346322 | - |
dc.identifier.scopus | eid_2-s2.0-65649085584 | en_HK |
dc.identifier.hkuros | 158153 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-65649085584&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 25 | en_HK |
dc.identifier.issue | 11 | en_HK |
dc.identifier.spage | 1449 | en_HK |
dc.identifier.epage | 1450 | en_HK |
dc.identifier.eissn | 1460-2059 | - |
dc.identifier.isi | WOS:000266109500025 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.relation.project | Fine mapping candidate loci for nasopharyngeal carcinoma (NPC) in southern Chinese specifically linked to EBV aetiopathogenesis | - |
dc.identifier.scopusauthorid | Li, MX=17135391100 | en_HK |
dc.identifier.scopusauthorid | Jiang, L=23012303800 | en_HK |
dc.identifier.scopusauthorid | Kao, PYP=24280722500 | en_HK |
dc.identifier.scopusauthorid | Sham, PC=34573429300 | en_HK |
dc.identifier.scopusauthorid | Song, YQ=7404921212 | en_HK |
dc.identifier.citeulike | 4285138 | - |