liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients
Univ Michigan, MI 48109 USA.
Univ Michigan, MI 48109 USA.
Univ Michigan, MI 48109 USA; Morgridge Inst Res, WI 53715 USA.
Univ Michigan, MI 48109 USA.
Show others and affiliations
2018 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 9, article id 4178Article in journal (Refereed) Published
Abstract [en]

Psoriatic arthritis (PsA) is a complex chronic musculoskeletal condition that occurs in similar to 30% of psoriasis patients. Currently, no systematic strategy is available that utilizes the differences in genetic architecture between PsA and cutaneous-only psoriasis (PsC) to assess PsA risk before symptoms appear. Here, we introduce a computational pipeline for predicting PsA among psoriasis patients using data from six cohorts with amp;gt;7000 genotyped PsA and PsC patients. We identify 9 new loci for psoriasis or its subtypes and achieve 0.82 area under the receiver operator curve in distinguishing PsA vs. PsC when using 200 genetic markers. Among the top 5% of our PsA prediction we achieve amp;gt;90% precision with 100% specificity and 16% recall for predicting PsA among psoriatic patients, using conditional inference forest or shrinkage discriminant analysis. Combining statistical and machine-learning techniques, we show that the underlying genetic differences between psoriasis subtypes can be used for individualized subtype risk assessment.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2018. Vol. 9, article id 4178
National Category
Urology and Nephrology
Identifiers
URN: urn:nbn:se:liu:diva-152385DOI: 10.1038/s41467-018-06672-6ISI: 000446800200016PubMedID: 30301895OAI: oai:DiVA.org:liu-152385DiVA, id: diva2:1259638
Note

Funding Agencies|Arthritis National Research Foundation; National Psoriasis Foundation; National Institutes of Health [R01AR042742, R01AR050511, R01AR054966, R01AR063611, R01AR065183, K01AR072129]; Foundation for the National Institutes of Health; Dermatology Foundation; Dawn and Dudley Holmes Foundation; Babcock Memorial Trust; Krembil Foundation; Doris Duke Foundation [2013106]; National Institute of Health [K08AR060802, R01AR06907]; Taubman Medical Research Institute, Frances; Kenneth Eisenberg Emerging Scholar; Ann Arbor Veterans Affairs Hospital

Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2019-03-21

Open Access in DiVA

fulltext(2671 kB)3 downloads
File information
File name FULLTEXT01.pdfFile size 2671 kBChecksum SHA-512
1d74902c362a19427111b76a5065f89d82aa3054a34df5019f927502f376d80c099cc574ed56e4fac8a9c146810f10f48dfbe1d9fac240fec9a0911b69725a7f
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Enerbäck, Charlotta
By organisation
Division of Cell BiologyFaculty of Medicine and Health SciencesDepartment of Dermatology and Venerology
In the same journal
Nature Communications
Urology and Nephrology

Search outside of DiVA

GoogleGoogle Scholar
Total: 3 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 24 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf