File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Multifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees

TitleMultifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees
Authors
Keywordsdisease pedigree
liability threshold model
R package
risk predictio
software
Issue Date2018
PublisherJohn 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?
AbstractConstruction 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 Identifierhttp://hdl.handle.net/10722/274427
ISSN
2021 Impact Factor: 2.344
2020 SCImago Journal Rankings: 1.301
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCampbell, DD-
dc.contributor.authorLi, Y-
dc.contributor.authorSham, PC-
dc.date.accessioned2019-08-18T15:01:30Z-
dc.date.available2019-08-18T15:01:30Z-
dc.date.issued2018-
dc.identifier.citationGenetic Epidemiology, 2018, v. 42 n. 2, p. 130-133-
dc.identifier.issn0741-0395-
dc.identifier.urihttp://hdl.handle.net/10722/274427-
dc.description.abstractConstruction 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.languageeng-
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/35841-
dc.relation.ispartofGenetic Epidemiology-
dc.rightsPreprint 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.subjectdisease pedigree-
dc.subjectliability threshold model-
dc.subjectR package-
dc.subjectrisk predictio-
dc.subjectsoftware-
dc.titleMultifactorial disease risk calculator: Risk prediction for multifactorial disease pedigrees-
dc.typeArticle-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.authoritySham, PC=rp00459-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/gepi.22101-
dc.identifier.pmid29178360-
dc.identifier.scopuseid_2-s2.0-85042132504-
dc.identifier.hkuros301002-
dc.identifier.volume42-
dc.identifier.issue2-
dc.identifier.spage130-
dc.identifier.epage133-
dc.identifier.isiWOS:000424904300001-
dc.publisher.placeUnited States-
dc.identifier.issnl0741-0395-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats