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Association of a common genetic variant within ANKK1 with six-month cognitive performance after traumatic brain injury
- Yue, John K;
- Pronger, Angela M;
- Ferguson, Adam R;
- Temkin, Nancy R;
- Sharma, Sourabh;
- Rosand, Jonathan;
- Sorani, Marco D;
- McAllister, Thomas W;
- Barber, Jason;
- Winkler, Ethan A;
- Burchard, Esteban G;
- Hu, Donglei;
- Lingsma, Hester F;
- Cooper, Shelly R;
- Puccio, Ava M;
- Okonkwo, David O;
- Diaz-Arrastia, Ramon;
- Manley, Geoffrey T;
- The COBRIT Investigators;
- The TRACK-TBI Investigators
- et al.
Published Web Location
https://doi.org/10.1007/s10048-015-0437-1Abstract
Genetic association analyses suggest that certain common single nucleotide polymorphisms (SNPs) may adversely impact recovery from traumatic brain injury (TBI). Delineating their causal relationship may aid in development of novel interventions and in identifying patients likely to respond to targeted therapies. We examined the influence of the (C/T) SNP rs1800497 of ANKK1 on post-TBI outcome using data from two prospective multicenter studies: the Citicoline Brain Injury Treatment (COBRIT) trial and Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot (TRACK-TBI Pilot). We included patients with ANKK1 genotyping results and cognitive outcomes at six months post-TBI (n = 492: COBRIT n = 272, TRACK-TBI Pilot n = 220). Using the California Verbal Learning Test Second Edition (CVLT-II) Trial 1-5 Standard Score, we found a dose-dependent effect for the T allele, with T/T homozygotes scoring lowest on the CVLT-II Trial 1-5 Standard Score (T/T 45.1, C/T 51.1, C/C 52.1, ANOVA, p = 0.008). Post hoc testing with multiple comparison-correction indicated that T/T patients performed significantly worse than C/T and C/C patients. Similar effects were observed in a test of non-verbal processing (Wechsler Adult Intelligence Scale, Processing Speed Index). Our findings extend those of previous studies reporting a negative relationship of the ANKK1 T allele with cognitive performance after TBI. In this study, we demonstrate the value of pooling shared clinical, biomarker, and outcome variables from two large datasets applying the NIH TBI Common Data Elements. The results have implications for future multicenter investigations to further elucidate the role of ANKK1 in post-TBI outcome.
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