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Chunk #6 — Materials and methods — Samples — RNA-seq

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Genome- and transcriptome-wide splicing associations with alcohol use disorder.
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decreases the portability of polygenic score analyses. Of the human brain samples 23.22% were female and the average age was 57.34 (s.d. = 8.91, range = 40–73; see Table 1). AUD was defined as a diagnosis of either DSM-IV alcohol abuse (66.66% of AUD cases) or dependence (33.33% of AUD cases). Controls included social or non-drinkers that were not diagnosed with AUD and were well-matched on all covariates (see Supplementary Fig. S2). The most common cause of death was a cardiac complication (67.9% of all samples) followed by respiratory causes. Five individuals died of alcohol toxicity. Multiple brain regions were available for each individual and included: (1) superior pre-frontal cortex (PFC; PRJNA530758), (2) nucleus accumbens (NAc; PRJNA551775), (3) central nucleus of the amygdala (CEA; PRJNA551908) and (4) basolateral amygdala (BLA; PRJNA551909). Human brain samples were collected within three days of death (post-mortem interval range = 9–72 h, M = 32.81, s.d. = 13.75 h). For more information on the human RNA-seq data see Rao et al.14. Briefly, RNA was extracted via the Qiagen RNeasy kit. RNA was sequenced on the Illumina HiSeq 2000, which resulted in an average of 91,252,228 million paired-end reads (s.d. = 33,916,588).Table 1RNA-seq data used in