Literature DB >> 20732625

Meta-analysis of genome-wide association studies of attention-deficit/hyperactivity disorder.

Benjamin M Neale1, Sarah E Medland, Stephan Ripke, Philip Asherson, Barbara Franke, Klaus-Peter Lesch, Stephen V Faraone, Thuy Trang Nguyen, Helmut Schäfer, Peter Holmans, Mark Daly, Hans-Christoph Steinhausen, Christine Freitag, Andreas Reif, Tobias J Renner, Marcel Romanos, Jasmin Romanos, Susanne Walitza, Andreas Warnke, Jobst Meyer, Haukur Palmason, Jan Buitelaar, Alejandro Arias Vasquez, Nanda Lambregts-Rommelse, Michael Gill, Richard J L Anney, Kate Langely, Michael O'Donovan, Nigel Williams, Michael Owen, Anita Thapar, Lindsey Kent, Joseph Sergeant, Herbert Roeyers, Eric Mick, Joseph Biederman, Alysa Doyle, Susan Smalley, Sandra Loo, Hakon Hakonarson, Josephine Elia, Alexandre Todorov, Ana Miranda, Fernando Mulas, Richard P Ebstein, Aribert Rothenberger, Tobias Banaschewski, Robert D Oades, Edmund Sonuga-Barke, James McGough, Laura Nisenbaum, Frank Middleton, Xiaolan Hu, Stan Nelson.   

Abstract

OBJECTIVE: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of existing studies to boost statistical power.
METHOD: We used data from four projects: a) the Children's Hospital of Philadelphia (CHOP); b) phase I of the International Multicenter ADHD Genetics project (IMAGE); c) phase II of IMAGE (IMAGE II); and d) the Pfizer-funded study from the University of California, Los Angeles, Washington University, and Massachusetts General Hospital (PUWMa). The final sample size consisted of 2,064 trios, 896 cases, and 2,455 controls. For each study, we imputed HapMap single nucleotide polymorphisms, computed association test statistics and transformed them to z-scores, and then combined weighted z-scores in a meta-analysis.
RESULTS: No genome-wide significant associations were found, although an analysis of candidate genes suggests that they may be involved in the disorder.
CONCLUSIONS: Given that ADHD is a highly heritable disorder, our negative results suggest that the effects of common ADHD risk variants must, individually, be very small or that other types of variants, e.g., rare ones, account for much of the disorder's heritability. 2010 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20732625      PMCID: PMC2928252          DOI: 10.1016/j.jaac.2010.06.008

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  37 in total

1.  Variance-Components QTL linkage analysis of selected and non-normal samples: conditioning on trait values.

Authors:  P C Sham; J H Zhao; S S Cherny; J K Hewitt
Journal:  Genet Epidemiol       Date:  2000       Impact factor: 2.135

2.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

3.  What is the prevalence of adult ADHD? Results of a population screen of 966 adults.

Authors:  Stephen V Faraone; Joseph Biederman
Journal:  J Atten Disord       Date:  2005-11       Impact factor: 3.256

4.  Identification of loci associated with schizophrenia by genome-wide association and follow-up.

Authors:  Michael C O'Donovan; Nicholas Craddock; Nadine Norton; Hywel Williams; Timothy Peirce; Valentina Moskvina; Ivan Nikolov; Marian Hamshere; Liam Carroll; Lyudmila Georgieva; Sarah Dwyer; Peter Holmans; Jonathan L Marchini; Chris C A Spencer; Bryan Howie; Hin-Tak Leung; Annette M Hartmann; Hans-Jürgen Möller; Derek W Morris; Yongyong Shi; GuoYin Feng; Per Hoffmann; Peter Propping; Catalina Vasilescu; Wolfgang Maier; Marcella Rietschel; Stanley Zammit; Johannes Schumacher; Emma M Quinn; Thomas G Schulze; Nigel M Williams; Ina Giegling; Nakao Iwata; Masashi Ikeda; Ariel Darvasi; Sagiv Shifman; Lin He; Jubao Duan; Alan R Sanders; Douglas F Levinson; Pablo V Gejman; Sven Cichon; Markus M Nöthen; Michael Gill; Aiden Corvin; Dan Rujescu; George Kirov; Michael J Owen; Nancy G Buccola; Bryan J Mowry; Robert Freedman; Farooq Amin; Donald W Black; Jeremy M Silverman; William F Byerley; C Robert Cloninger
Journal:  Nat Genet       Date:  2008-09       Impact factor: 38.330

5.  SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap.

Authors:  Andrew D Johnson; Robert E Handsaker; Sara L Pulit; Marcia M Nizzari; Christopher J O'Donnell; Paul I W de Bakker
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

Review 6.  Molecular genetics of attention-deficit/hyperactivity disorder.

Authors:  Stephen V Faraone; Roy H Perlis; Alysa E Doyle; Jordan W Smoller; Jennifer J Goralnick; Meredith A Holmgren; Pamela Sklar
Journal:  Biol Psychiatry       Date:  2005-01-21       Impact factor: 13.382

7.  The haplotype-relative-risk (HRR) method for analysis of association in nuclear families.

Authors:  M Knapp; S A Seuchter; M P Baur
Journal:  Am J Hum Genet       Date:  1993-06       Impact factor: 11.025

8.  Genome-wide association scan of the time to onset of attention deficit hyperactivity disorder.

Authors:  Jessica Lasky-Su; Richard J L Anney; Benjamin M Neale; Barbara Franke; Kaixin Zhou; Julian B Maller; Alejandro Arias Vasquez; Wai Chen; Philip Asherson; Jan Buitelaar; Tobias Banaschewski; Richard Ebstein; Michael Gill; Ana Miranda; Fernando Mulas; Robert D Oades; Herbert Roeyers; Aribert Rothenberger; Joseph Sergeant; Edmund Sonuga-Barke; Hans Christoph Steinhausen; Eric Taylor; Mark Daly; Nan Laird; Christoph Lange; Stephen V Faraone
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-12-05       Impact factor: 3.568

9.  Estimation of significance thresholds for genomewide association scans.

Authors:  Frank Dudbridge; Arief Gusnanto
Journal:  Genet Epidemiol       Date:  2008-04       Impact factor: 2.135

10.  Gene-wide analyses of genome-wide association data sets: evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk.

Authors:  V Moskvina; N Craddock; P Holmans; I Nikolov; J S Pahwa; E Green; M J Owen; M C O'Donovan
Journal:  Mol Psychiatry       Date:  2008-12-09       Impact factor: 15.992

View more
  184 in total

Review 1.  Genetic architectures of psychiatric disorders: the emerging picture and its implications.

Authors:  Patrick F Sullivan; Mark J Daly; Michael O'Donovan
Journal:  Nat Rev Genet       Date:  2012-07-10       Impact factor: 53.242

2.  Differential expression of SLC9A9 and interacting molecules in the hippocampus of rat models for attention deficit/hyperactivity disorder.

Authors:  Yanli Zhang-James; Frank A Middleton; Terje Sagvolden; Stephen V Faraone
Journal:  Dev Neurosci       Date:  2012-07-06       Impact factor: 2.984

3.  Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources.

Authors:  Suhua Chang; Weina Zhang; Lei Gao; Jing Wang
Journal:  Protein Cell       Date:  2012-07-10       Impact factor: 14.870

4.  A genome-wide association study on common SNPs and rare CNVs in anorexia nervosa.

Authors:  K Wang; H Zhang; C S Bloss; V Duvvuri; W Kaye; N J Schork; W Berrettini; H Hakonarson
Journal:  Mol Psychiatry       Date:  2010-11-16       Impact factor: 15.992

Review 5.  Genetics in child and adolescent psychiatry: methodological advances and conceptual issues.

Authors:  Sarah Hohmann; Nicoletta Adamo; Benjamin B Lahey; Stephen V Faraone; Tobias Banaschewski
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-04-08       Impact factor: 4.785

Review 6.  The attentive brain: insights from developmental cognitive neuroscience.

Authors:  Dima Amso; Gaia Scerif
Journal:  Nat Rev Neurosci       Date:  2015-10       Impact factor: 34.870

7.  Identification of Genetic Loci Shared Between Attention-Deficit/Hyperactivity Disorder, Intelligence, and Educational Attainment.

Authors:  Kevin S O'Connell; Alexey Shadrin; Olav B Smeland; Shahram Bahrami; Oleksandr Frei; Francesco Bettella; Florian Krull; Chun C Fan; Ragna B Askeland; Gun Peggy S Knudsen; Anne Halmøy; Nils Eiel Steen; Torill Ueland; G Bragi Walters; Katrín Davíðsdóttir; Gyða S Haraldsdóttir; Ólafur Ó Guðmundsson; Hreinn Stefánsson; Ted Reichborn-Kjennerud; Jan Haavik; Anders M Dale; Kári Stefánsson; Srdjan Djurovic; Ole A Andreassen
Journal:  Biol Psychiatry       Date:  2019-11-29       Impact factor: 13.382

8.  Cadherin 13: human cis-regulation and selectively-altered addiction phenotypes and cerebral cortical dopamine in knockout mice.

Authors:  Jana Drgonova; Donna Walther; G Luke Hartstein; Mohammad O Bukhari; Michael H Baumann; Jonathan Katz; Frank Scott Hall; Elizabeth R Arnold; Shaun Flax; Anthony Riley; Olga Rivero-Martin; Klaus-Peter Lesch; Juan Troncoso; Barbara Ranscht; George R Uhl
Journal:  Mol Med       Date:  2016-08-18       Impact factor: 6.354

9.  Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.

Authors: 
Journal:  Lancet       Date:  2013-02-28       Impact factor: 79.321

10.  Copy Number Variants and Polygenic Risk Scores Predict Need of Care in Autism and/or ADHD Families.

Authors:  Sonja LaBianca; Jette LaBianca; Anne Katrine Pagsberg; Klaus Damgaard Jakobsen; Vivek Appadurai; Alfonso Buil; Thomas Werge
Journal:  J Autism Dev Disord       Date:  2021-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.