A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Implementation of CYP2D6 copy-number imputation panel and frequency of key pharmacogenetic variants in Finnish individuals with a psychotic disorder
Tekijät: Häkkinen Katja, Kiiski Johanna I., Lähteenvuo Markku, Jukuri Tuomas, Suokas Kimmo, Niemi-Pynttäri Jussi, Kieseppä Tuula, Männynsalo Teemu, Wegelius Asko, Haaki Willehard, Lahdensuo Kaisla, Kajanne Risto, Kaunisto Mari A., Tuulio-Henriksson Annamari, Kampman Olli, Hietala Jarmo, Veijola Juha, Lönnqvist Jouko, Isometsä Erkki, Paunio Tiina, Suvisaari Jaana, Kalso Eija, Niemi Mikko, Tiihonen Jari, Daly Mark, Palotie Aarno, Ahola-Olli Ari V.
Kustantaja: SPRINGERNATURE
Julkaisuvuosi: 2022
Journal: Pharmacogenomics Journal
Tietokannassa oleva lehden nimi: PHARMACOGENOMICS JOURNAL
Lehden akronyymi: PHARMACOGENOMICS J
Vuosikerta: 22
Aloitussivu: 166
Lopetussivu: 172
Sivujen määrä: 7
ISSN: 1470-269X
eISSN: 1473-1150
DOI: https://doi.org/10.1038/s41397-022-00270-y
Verkko-osoite: https://www.nature.com/articles/s41397-022-00270-y
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/174929685
We demonstrate that CYP2D6 copy-number variation (CNV) can be imputed using existing imputation algorithms. Additionally, we report frequencies of key pharmacogenetic variants in individuals with a psychotic disorder from the genetically bottle-necked population of Finland. We combined GWAS chip and CYP2D6 CNV data from the Breast Cancer Pain Genetics study to construct an imputation panel (n = 902) for CYP2D6 CNV. The resulting data set was used as a CYP2D6 CNV imputation panel in 9262 non-related individuals from the SUPER-Finland study. Based on imputation of 9262 individuals we confirm the higher frequency of CYP2D6 ultrarapid metabolizers and a 22-fold enrichment of the UGT1A1 decreased function variant rs4148323 (UGT1A1*6) in Finland compared with non-Finnish Europeans. Similarly, the NUDT15 variant rs116855232 was highly enriched in Finland. We demonstrate that imputation of CYP2D6 CNV is possible and the methodology enables studying CYP2D6 in large biobanks with genome-wide data.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
