Genetic control of human brain transcript expression in Alzheimer disease. Export

@article{citeulike:4389585, abstract = {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.}, author = {Webster, Jennifer A. and Gibbs, J. Raphael and Clarke, Jennifer and Ray, Monika and Zhang, Weixiong and Holmans, Peter and Rohrer, Kristen and Zhao, Alice and Marlowe, Lauren and Kaleem, Mona and McCorquodale, Donald S. and Cuello, Cindy and Leung, Doris and Bryden, Leslie and Nath, Priti and Zismann, Victoria L. and Joshipura, Keta and Huentelman, Matthew J. and Hu-Lince, Diane and Coon, Keith D. and Craig, David W. and Pearson, John V. and {NACC-Neuropathology Group} and Heward, Christopher B. and Reiman, Eric M. and Stephan, Dietrich and Hardy, John and Myers, Amanda J.}, citeulike-article-id = {4389585}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.ajhg.2009.03.011}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19361613}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19361613}, doi = {10.1016/j.ajhg.2009.03.011}, issn = {1537-6605}, journal = {American journal of human genetics}, keywords = {alzheimers, microarray, phenotype}, month = {April}, number = {4}, pages = {445--458}, posted-at = {2009-10-22 20:13:08}, priority = {2}, title = {Genetic control of human brain transcript expression in Alzheimer disease.}, url = {http://dx.doi.org/10.1016/j.ajhg.2009.03.011}, volume = {84}, year = {2009} }

TY - JOUR ID - citeulike:4389585 L3 - citeulike-article-id:4389585 N2 - 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. IS - 4 JF - American journal of human genetics SN - 1537-6605 EP - 458 TI - Genetic control of human brain transcript expression in Alzheimer disease. VL - 84 SP - 445 KW - alzheimers KW - microarray KW - phenotype AU - Webster, Jennifer AU - Gibbs, Raphael AU - Clarke, Jennifer AU - Ray, Monika AU - Zhang, Weixiong AU - Holmans, Peter AU - Rohrer, Kristen AU - Zhao, Alice AU - Marlowe, Lauren AU - Kaleem, Mona AU - McCorquodale, Donald AU - Cuello, Cindy AU - Leung, Doris AU - Bryden, Leslie AU - Nath, Priti AU - Zismann, Victoria AU - Joshipura, Keta AU - Huentelman, Matthew AU - Hu-Lince, Diane AU - Coon, Keith AU - Craig, David AU - Pearson, John AU - Heward, Christopher AU - Reiman, Eric AU - Stephan, Dietrich AU - Hardy, John AU - Myers, Amanda PY - 2009/04// UR - http://dx.doi.org/10.1016/j.ajhg.2009.03.011 ER -