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Chunk #117 — ONLINE METHODS — Effect of age on differential expression

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Gene expression elucidates functional impact of polygenic risk for schizophrenia.
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age 77.8) by independently processing the data for each of those sub-cohorts. The differential t-statistics between these independent sub-cohorts were correlated (r = 0.18, P < 2 × 10−16), arguing for some consistency of case-control differences across the lifespan. Still, it is possible that a larger cohort of younger cases and controls would exhibit somewhat different patterns of gene expression changes. It is important to note, however, that the effect of age is not the only possible explanation for a lower correlation; e.g., while Pitt samples compose 26% of all SCZ cases and controls in CMC, 63% of the aged 20–60 CMC samples are from Pitt, and other factors besides age also differ between the Pitt and non-Pitt samples.