liu.seSök publikationer i DiVA
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Phenotype prediction accuracy: A Swedish perspective
National Forensic Centre, Sweden.
Linköpings universitet, Institutionen för klinisk och experimentell medicin, Avdelningen för hematopoes och utvecklingsbiologi. Linköpings universitet, Medicinska fakulteten. National Board of Forensic Medicine, Sweden.
National Forensic Centre, Sweden; Lund Univ, Sweden.
Linköpings universitet, Institutionen för klinisk och experimentell medicin, Avdelningen för hematopoes och utvecklingsbiologi. Linköpings universitet, Medicinska fakulteten. National Board of Forensic Medicine, Sweden.
Visa övriga samt affilieringar
2019 (Engelska)Ingår i: Forensic Science International: Genetics Supplement Series, ISSN 1875-1768, E-ISSN 1875-175X, Vol. 7, nr 1, s. 384-386Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Methods for SNP-based phenotype prediction have recently been developed, but prediction accuracy data for several populations and regions are missing. We analysed the accuracy of hair and eye colour predictions for 111 individuals residing in Sweden, using the ForenSeq system and the MiSeq FGx instrument (Verogen). Observed colours were compared to predicted colours, using the colour with the highest probability value for each prediction. Overall, 80% of eye colour predictions were correct, but the system failed to predict intermediate/green eye colour in our cohort. For hair colour, 58% of predictions were correct, and the majority of incorrect predictions were related to brown hair. To assess if prediction accuracy could be improved by the exclusion of predictions with low probabilities, we applied a threshold of amp;gt;= 0.7. The threshold improved eye colour prediction, from 80% to 85% correct predictions, whereas hair colour prediction accuracy was virtually unaffected (58% versus 57% correct predictions). In summary, the phenotype prediction accuracy was acceptable in our cohort and the use of a threshold was only useful for eye colour predictions.

Ort, förlag, år, upplaga, sidor
Elsevier, 2019. Vol. 7, nr 1, s. 384-386
Nyckelord [en]
EVC; Massively parallel sequencing; Phenotype; SNP
Nationell ämneskategori
Analytisk kemi
Identifikatorer
URN: urn:nbn:se:liu:diva-163761DOI: 10.1016/j.fsigss.2019.10.022ISI: 000508217000150Scopus ID: 2-s2.0-85073055664OAI: oai:DiVA.org:liu-163761DiVA, id: diva2:1415777
Tillgänglig från: 2020-03-19 Skapad: 2020-03-19 Senast uppdaterad: 2020-03-26Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Tillmar, Andreas

Sök vidare i DiVA

Av författaren/redaktören
Staadig, AdamTillmar, Andreas
Av organisationen
Avdelningen för hematopoes och utvecklingsbiologiMedicinska fakulteten
I samma tidskrift
Forensic Science International: Genetics Supplement Series
Analytisk kemi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 5 träffar
RefereraExporteraLänk till posten
Permanent länk

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