liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Novel risk genes for systemic lupus erythematosus predicted by random forest classification
Uppsala University, Sweden.
Uppsala University, Sweden.
Uppsala University, Sweden.
Uppsala University, Sweden; Karolinska Institute, Sweden.
Vise andre og tillknytning
2017 (engelsk)Inngår i: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, artikkel-id 6236Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individuals SLE risk we designed a random forest classifier using SNP genotype data generated on the "Immunochip" from 1,160 patients with SLE and 2,711 controls. Using gene importance scores defined by the random forest classifier, we identified 15 potential novel risk genes for SLE. Of them 12 are associated with other autoimmune diseases than SLE, whereas three genes (ZNF804A, CDK1, and MANF) have not previously been associated with autoimmunity. Random forest classification also allowed prediction of patients at risk for lupus nephritis with an area under the curve of 0.94. By allele-specific gene expression analysis we detected cis-regulatory SNPs that affect the expression levels of six of the top 40 genes designed by the random forest analysis, indicating a regulatory role for the identified risk variants. The 40 top genes from the prediction were overrepresented for differential expression in B and T cells according to RNA-sequencing of samples from five healthy donors, with more frequent over-expression in B cells compared to T cells.

sted, utgiver, år, opplag, sider
NATURE PUBLISHING GROUP , 2017. Vol. 7, artikkel-id 6236
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-140068DOI: 10.1038/s41598-017-06516-1ISI: 000406260100040OAI: oai:DiVA.org:liu-140068DiVA, id: diva2:1136593
Merknad

Funding Agencies|Knut and Alice Wallenberg Foundation; Swedish Research Council for Medicine and Health [521-2014-2263, 521-2013-2830]; Swedish Rheumatism Association; King Gustaf V 80-year Foundation; COMBINE

Tilgjengelig fra: 2017-08-28 Laget: 2017-08-28 Sist oppdatert: 2018-01-13

Open Access i DiVA

fulltext(1356 kB)54 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1356 kBChecksum SHA-512
8fc820d13f658ffde0724a97c765b735da019fa1104126f9ca90a685e327626556516696a9358821be8c022ca671580f3bc5fed31a3e1a0604498a7489ece05d
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Søk i DiVA

Av forfatter/redaktør
Sjöwall, Christopher
Av organisasjonen
I samme tidsskrift
Scientific Reports

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 54 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 163 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf