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Genetic control of human brain transcript expression in Alzheimer Disease

Webster, Jennifer A., Gibbs, J. Raphael, Clarke, Jennifer, Ray, Monika, Zhang, Weixiong, Holmans, Peter Alan ORCID:, Rohrer, Kristen, Zhao, Alice, Marlowe, Lauren, Kaleem, Mona, McCorquodale, Donald S., Cuello, Cindy, Leung, Doris, Bryden, Leslie, Nath, Priti, Zismann, Victoria L., Joshipura, Keta, Huentelman, Matthew J., Hu-Lince, Diane, Coon, Keith D., Craig, David W., Pearson, John V., NACC-Neuropathology Group, Heward, Chrsitopher B., Reiman, Eria M., Stephan, Dietrich, Hardy, John and Myers, Amanda J. 2009. Genetic control of human brain transcript expression in Alzheimer Disease. American Journal of Human Genetics 84 (4) , pp. 445-458. 10.1016/j.ajhg.2009.03.011

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We recently surveyed the relationship between the human brain transcriptome and genome in a series of neuropathologically normal postmortem samples. We have now analyzed additional samples with a confirmed pathologic diagnosis of late-onset Alzheimer disease (LOAD; final n = 188 controls, 176 cases). Nine percent of the cortical transcripts that we analyzed had expression profiles correlated with their genotypes in the combined cohort, and approximately 5% of transcripts had SNP-transcript relationships that could distinguish LOAD samples. Two of these transcripts have been previously implicated in LOAD candidate-gene SNP-expression screens. This study shows how the relationship between common inherited genetic variants and brain transcript expression can be used in the study of human brain disorders. We suggest that studying the transcriptome as a quantitative endo-phenotype has greater power for discovering risk SNPs influencing expression than the use of discrete diagnostic categories such as presence or absence of disease.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Systems Immunity Research Institute (SIURI)
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Subjects: Q Science > QH Natural history > QH426 Genetics
Publisher: Elsevier
ISSN: 0002-9297
Last Modified: 19 Oct 2022 10:15

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