TY  - JOUR
A1  - Jain, M.
A1  - Vélez, J. I.
A1  - Acosta, M. T.
A1  - Palacio, L. G.
A1  - Balog, J.
A1  - Roessler, E.
A1  - Pineda, D.
A1  - Londoño, A. C.
A1  - Palacio, J. D.
A1  - Arbelaez, A.
A1  - Lopera, F.
A1  - Elia, J.
A1  - Hakonarson, H.
A1  - Seitz, C.
A1  - Freitag, C. M.
A1  - Palmason, H.
A1  - Meyer, J.
A1  - Romanos, M.
A1  - Walitza, S.
A1  - Hemminger, U.
A1  - Warnke, A.
A1  - Romanos, J.
A1  - Renner, T.
A1  - Jacob, C.
A1  - Lesch, K.-P.
A1  - Swanson, J.
A1  - Castellanos, F. X.
A1  - Bailey-Wilson, J. E.
A1  - Arcos-Burgos, M.
A1  - Muenke, M.
T1  - A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD
JF  - Molecular Psychiatry
N2  - In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P<1 × 10−8) and 11q and 17p (P<1 × 10−6). As we have identified that common variants of the LPHN3 gene were responsible for the 4q linkage signal, we focused on 4q–11q interaction to determine that single-nucleotide polymorphisms (SNPs) harbored in the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 genes, to double the risk of developing ADHD. This interaction not only explains genetic effects much better than taking each of these loci effects by separated but also differences in brain metabolism as depicted by proton magnetic resonance spectroscopy data and pharmacogenetic response to stimulant medication. These findings not only add information about how high order genetic interactions might be implicated in conferring susceptibility to develop ADHD but also show that future studies of the effects of genetic interactions on ADHD clinical information will help to shape predictive models of individual outcome.
KW  - ADHD
KW  - genetic interaction
KW  - LPHN3
KW  - NCAM1
KW  - DRD2
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-125128
VL  - 17
ER  - 
TY  - JOUR
A1  - Postema, Merel C.
A1  - Hoogman, Martine
A1  - Ambrosino, Sara
A1  - Asherson, Philip
A1  - Banaschewski, Tobias
A1  - Bandeira, Cibele E.
A1  - Baranov, Alexandr
A1  - Bau, Claiton H.D.
A1  - Baumeister, Sarah
A1  - Baur‐Streubel, Ramona
A1  - Bellgrove, Mark A.
A1  - Biederman, Joseph
A1  - Bralten, Janita
A1  - Brandeis, Daniel
A1  - Brem, Silvia
A1  - Buitelaar, Jan K.
A1  - Busatto, Geraldo F.
A1  - Castellanos, Francisco X.
A1  - Cercignani, Mara
A1  - Chaim‐Avancini, Tiffany M.
A1  - Chantiluke, Kaylita C.
A1  - Christakou, Anastasia
A1  - Coghill, David
A1  - Conzelmann, Annette
A1  - Cubillo, Ana I.
A1  - Cupertino, Renata B.
A1  - de Zeeuw, Patrick
A1  - Doyle, Alysa E.
A1  - Durston, Sarah
A1  - Earl, Eric A.
A1  - Epstein, Jeffery N.
A1  - Ethofer, Thomas
A1  - Fair, Damien A.
A1  - Fallgatter, Andreas J.
A1  - Faraone, Stephen V.
A1  - Frodl, Thomas
A1  - Gabel, Matt C.
A1  - Gogberashvili, Tinatin
A1  - Grevet, Eugenio H.
A1  - Haavik, Jan
A1  - Harrison, Neil A.
A1  - Hartman, Catharina A.
A1  - Heslenfeld, Dirk J.
A1  - Hoekstra, Pieter J.
A1  - Hohmann, Sarah
A1  - Høvik, Marie F.
A1  - Jernigan, Terry L.
A1  - Kardatzki, Bernd
A1  - Karkashadze, Georgii
A1  - Kelly, Clare
A1  - Kohls, Gregor
A1  - Konrad, Kerstin
A1  - Kuntsi, Jonna
A1  - Lazaro, Luisa
A1  - Lera‐Miguel, Sara
A1  - Lesch, Klaus‐Peter
A1  - Louza, Mario R.
A1  - Lundervold, Astri J.
A1  - Malpas, Charles B
A1  - Mattos, Paulo
A1  - McCarthy, Hazel
A1  - Namazova‐Baranova, Leyla
A1  - Nicolau, Rosa
A1  - Nigg, Joel T.
A1  - Novotny, Stephanie E.
A1  - Oberwelland Weiss, Eileen
A1  - O'Gorman Tuura, Ruth L.
A1  - Oosterlaan, Jaap
A1  - Oranje, Bob
A1  - Paloyelis, Yannis
A1  - Pauli, Paul
A1  - Picon, Felipe A.
A1  - Plessen, Kerstin J.
A1  - Ramos‐Quiroga, J. Antoni
A1  - Reif, Andreas
A1  - Reneman, Liesbeth
A1  - Rosa, Pedro G.P.
A1  - Rubia, Katya
A1  - Schrantee, Anouk
A1  - Schweren, Lizanne J.S.
A1  - Seitz, Jochen
A1  - Shaw, Philip
A1  - Silk, Tim J.
A1  - Skokauskas, Norbert
A1  - Soliva Vila, Juan C.
A1  - Stevens, Michael C.
A1  - Sudre, Gustavo
A1  - Tamm, Leanne
A1  - Tovar‐Moll, Fernanda
A1  - van Erp, Theo G.M.
A1  - Vance, Alasdair
A1  - Vilarroya, Oscar
A1  - Vives‐Gilabert, Yolanda
A1  - von Polier, Georg G.
A1  - Walitza, Susanne
A1  - Yoncheva, Yuliya N.
A1  - Zanetti, Marcus V.
A1  - Ziegler, Georg C.
A1  - Glahn, David C.
A1  - Jahanshad, Neda
A1  - Medland, Sarah E.
A1  - Thompson, Paul M.
A1  - Fisher, Simon E.
A1  - Franke, Barbara
A1  - Francks, Clyde
T1  - Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets
JF  - Journal of Child Psychology and Psychiatry
N2  - Objective
Some studies have suggested alterations of structural brain asymmetry in attention‐deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left‐right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium.

Methods
We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries.

Results
There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from −0.18 to 0.18) and would not survive study‐wide correction for multiple testing.

Conclusion
Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.
KW  - attention‐deficit
KW  - hyperactivity disorder
KW  - brain asymmetry
KW  - brain laterality
KW  - structural MRI
KW  - large‐scale data
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239968
VL  - 62
IS  - 10
SP  - 1202
EP  - 1219
ER  -