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Innovative strategy for early diagnosis of schizophrenia An innovative strategy that analyzes a region of the genome offers the possibility of early diagnosis of schizophrenia, reports a team led by researchers at Baylor College of Medicine. The strategy applied a machine learning algorithm called SPLS-DA to analyze specific regions of the human genome called CoRSIVs, hoping to reveal epigenetic markers for the condition. In DNA from blood samples, the team identified epigenetic markers, a profile of methyl chemical groups in the DNA, that differ between people diagnosed with schizophrenia and people without the disease and developed a model that would assess an individual s probability of having the condition. Testing the model on an independent dataset revealed that it can identify schizophrenia patients with 80% accuracy. The study appears in the journal

Roberta waterlandChathuraj gunasekaraEmily hendersonChildren nutrition research center at baylorBaylor college of medicineBaylor collegeNutrition research centerரோபர்ட்டா நீர்நிலம்எமிலி ஹென்டர்சன்குழந்தைகள் ஊட்டச்சத்து ஆராய்ச்சி மையம் இல் பேலர்பேலர் கல்லூரி ஆஃப் மருந்துபேலர் கல்லூரிஊட்டச்சத்து ஆராய்ச்சி மையம்