“…We used the RESEARCH app of the Face2Gene suite to evaluate a classifier for the five most prevalent GPIBDs, that is PIGA (n=20), PIGN (n=11), PIGT (n=12), PIGV (n=25), and PGAP3 (n=23) at the current moment. Our original sample set thus consists of frontal facial photos of 91 individuals with a molecularly confirmed diagnosis of HPMRS or MCAHS, including cases that have been previously published [5, 9-11, 13-15, 19, 27-29, 31-33, 38, 43, 47, 49, 50, 52-56, 60, 63]. The mean accuracy that is achieved on this original sample set is 52.2 %, which is significantly better than randomly expected.…”