TY - JOUR
T1 - Biomarker discovery in attention deficit hyperactivity disorder
T2 - RNA sequencing of whole blood in discordant twin and case-controlled cohorts
AU - McCaffrey, Timothy A.
AU - St. Laurent, Georges
AU - Shtokalo, Dmitry
AU - Antonets, Denis
AU - Vyatkin, Yuri
AU - Jones, Daniel
AU - Battison, Eleanor
AU - Nigg, Joel T.
N1 - Funding Information:
The authors are grateful to The Michigan State University Twins Registry, and the Co-Directors Dr. Kelly Klump and Dr. S. Alexandra Burt, for providing blood samples and clinical data for these studies, and to the OHSU Genomics Core, especially Beth Wilmot, for RNA sample processing. The authors are also very grateful to Debra Dederich of SeqLL for her dedicated work in sample processing for RNAseq data generation. The authors are grateful to Richard Wargowsky for preparation of color figures, and to Maxim Ri for help with bioinformatic analysis.
Funding Information:
The authors are grateful to The Abracadabra Foundation, and the St. Laurent Family, through The St. Laurent Institute, for their generous philanthropic support of this work. The funding organizations were apprised of, but had no role in the design, analysis, or interpretation of the data, nor were they involved in the writing of the manuscript. Acknowledgements
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Background: A variety of DNA-based methods have been applied to identify genetic markers of attention deficit hyperactivity disorder (ADHD), but the connection to RNA-based gene expression has not been fully exploited. Methods: Using well defined cohorts of discordant, monozygotic twins from the Michigan State University Twin Registry, and case-controlled ADHD cases in adolescents, the present studies utilized advanced single molecule RNA sequencing to identify expressed changes in whole blood RNA in ADHD. Multiple analytical strategies were employed to narrow differentially expressed RNA targets to a small set of potential biomarkers of ADHD. Results: RNA markers common to both the discordant twin study and case-controlled subjects further narrowed the putative targets, some of which had been previously associated with ADHD at the DNA level. The potential role of several differentially expressed genes, including ABCB5, RGS2, GAK, GIT1 and 3 members of the galactose metabolism pathway (GALE, GALT, GALK1) are substantiated by prior associations to ADHD and by established mechanistic connections to molecular pathways relevant to ADHD and behavioral control. Conclusions: The convergence of DNA, RNA, and metabolic data suggests these may be promising targets for diagnostics and therapeutics in ADHD.
AB - Background: A variety of DNA-based methods have been applied to identify genetic markers of attention deficit hyperactivity disorder (ADHD), but the connection to RNA-based gene expression has not been fully exploited. Methods: Using well defined cohorts of discordant, monozygotic twins from the Michigan State University Twin Registry, and case-controlled ADHD cases in adolescents, the present studies utilized advanced single molecule RNA sequencing to identify expressed changes in whole blood RNA in ADHD. Multiple analytical strategies were employed to narrow differentially expressed RNA targets to a small set of potential biomarkers of ADHD. Results: RNA markers common to both the discordant twin study and case-controlled subjects further narrowed the putative targets, some of which had been previously associated with ADHD at the DNA level. The potential role of several differentially expressed genes, including ABCB5, RGS2, GAK, GIT1 and 3 members of the galactose metabolism pathway (GALE, GALT, GALK1) are substantiated by prior associations to ADHD and by established mechanistic connections to molecular pathways relevant to ADHD and behavioral control. Conclusions: The convergence of DNA, RNA, and metabolic data suggests these may be promising targets for diagnostics and therapeutics in ADHD.
KW - Attention-deficit/hyperactivity disorder (ADHD)
KW - GIT1
KW - Galactose
KW - RNA sequencing
KW - Transcriptome
KW - Twins
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U2 - 10.1186/s12920-020-00808-8
DO - 10.1186/s12920-020-00808-8
M3 - Article
C2 - 33115496
AN - SCOPUS:85094108368
SN - 1755-8794
VL - 13
JO - BMC Medical Genomics
JF - BMC Medical Genomics
IS - 1
M1 - 160
ER -