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- Publisher Website: 10.1002/gepi.22101
- Scopus: eid_2-s2.0-85042132504
- PMID: 29178360
- WOS: WOS:000424904300001
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Article: Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees
Title | Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees |
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Authors | |
Keywords | disease pedigree liability threshold model R package risk predictio software |
Issue Date | 2018 |
Publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35841 |
Citation | Genetic Epidemiology, 2018, v. 42 n. 2, p. 130-133 How to Cite? |
Abstract | Construction of multifactorial disease models from epidemiological findings and their application to disease pedigrees for risk prediction is nontrivial for all but the simplest of cases. Multifactorial Disease Risk Calculator is a web tool facilitating this. It provides a user-friendly interface, extending a reported methodology based on a liability-threshold model. Multifactorial disease models incorporating all the following features in combination are handled: quantitative risk factors (including polygenic scores), categorical risk factors (including major genetic risk loci), stratified age of onset curves, and the partition of the population variance in disease liability into genetic, shared, and unique environment effects. It allows the application of such models to disease pedigrees. Pedigree-related outputs are (i) individual disease risk for pedigree members, (ii) n year risk for unaffected pedigree members, and (iii) the disease pedigree's joint liability distribution. Risk prediction for each pedigree member is based on using the constructed disease model to appropriately weigh evidence on disease risk available from personal attributes and family history. Evidence is used to construct the disease pedigree's joint liability distribution. From this, lifetime and n year risk can be predicted. Example disease models and pedigrees are provided at the website and are used in accompanying tutorials to illustrate the features available. The website is built on an R package which provides the functionality for pedigree validation, disease model construction, and risk prediction. Website: http://grass.cgs.hku.hk:3838/mdrc/current. © 2017 WILEY PERIODICALS, INC. |
Persistent Identifier | http://hdl.handle.net/10722/274427 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.977 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Campbell, DD | - |
dc.contributor.author | Li, Y | - |
dc.contributor.author | Sham, PC | - |
dc.date.accessioned | 2019-08-18T15:01:30Z | - |
dc.date.available | 2019-08-18T15:01:30Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Genetic Epidemiology, 2018, v. 42 n. 2, p. 130-133 | - |
dc.identifier.issn | 0741-0395 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274427 | - |
dc.description.abstract | Construction of multifactorial disease models from epidemiological findings and their application to disease pedigrees for risk prediction is nontrivial for all but the simplest of cases. Multifactorial Disease Risk Calculator is a web tool facilitating this. It provides a user-friendly interface, extending a reported methodology based on a liability-threshold model. Multifactorial disease models incorporating all the following features in combination are handled: quantitative risk factors (including polygenic scores), categorical risk factors (including major genetic risk loci), stratified age of onset curves, and the partition of the population variance in disease liability into genetic, shared, and unique environment effects. It allows the application of such models to disease pedigrees. Pedigree-related outputs are (i) individual disease risk for pedigree members, (ii) n year risk for unaffected pedigree members, and (iii) the disease pedigree's joint liability distribution. Risk prediction for each pedigree member is based on using the constructed disease model to appropriately weigh evidence on disease risk available from personal attributes and family history. Evidence is used to construct the disease pedigree's joint liability distribution. From this, lifetime and n year risk can be predicted. Example disease models and pedigrees are provided at the website and are used in accompanying tutorials to illustrate the features available. The website is built on an R package which provides the functionality for pedigree validation, disease model construction, and risk prediction. Website: http://grass.cgs.hku.hk:3838/mdrc/current. © 2017 WILEY PERIODICALS, INC. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35841 | - |
dc.relation.ispartof | Genetic Epidemiology | - |
dc.rights | Preprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | disease pedigree | - |
dc.subject | liability threshold model | - |
dc.subject | R package | - |
dc.subject | risk predictio | - |
dc.subject | software | - |
dc.title | Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees | - |
dc.type | Article | - |
dc.identifier.email | Sham, PC: pcsham@hku.hk | - |
dc.identifier.authority | Sham, PC=rp00459 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/gepi.22101 | - |
dc.identifier.pmid | 29178360 | - |
dc.identifier.scopus | eid_2-s2.0-85042132504 | - |
dc.identifier.hkuros | 301002 | - |
dc.identifier.volume | 42 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 130 | - |
dc.identifier.epage | 133 | - |
dc.identifier.isi | WOS:000424904300001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0741-0395 | - |