Genetic prediction of 33 blood group phenotypes using an existing genotype dataset.
Moslemi C, Saekmose SG, Larsen R, Bay JT, Brodersen T, Didriksen M, Hjalgrim H, Banasik K, Nielsen KR, Bruun MT, Dowsett J, Dinh KM, Mikkelsen S, Mikkelsen C, Hansen TF, Ullum H, Erikstrup C, Brunak S, Krogfelt KA, Storry JR, Ostrowski SR, Olsson ML, Pedersen OB.
Moslemi C, et al.
Transfusion. 2023 Dec;63(12):2297-2310. doi: 10.1111/trf.17575. Epub 2023 Nov 3.
Transfusion. 2023.
PMID: 37921035
RESULTS: Predicted phenotypes showed a high balanced accuracy >99.5% in most cases: A, B, C/c, Co(a) /Co(b) , Do(a) /Do(b) , E/e, Jk(a) /Jk(b) , Kn(a) /Kn(b) , Kp(a) /Kp(b) , M/N, S/s, Sd(a) , Se, and Yt(a) /Yt(b) , while some performed slightly worse: Fy( …
RESULTS: Predicted phenotypes showed a high balanced accuracy >99.5% in most cases: A, B, C/c, Co(a) /Co(b) , Do(a) /Do(b) , E/e, Jk(a) / …