<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Smit DJA</submitter><funding>NICHD NIH HHS</funding><funding>National Institute on Alcohol Abuse and Alcoholism</funding><funding>NIDA NIH HHS</funding><funding>Epilepsy Society</funding><funding>NIMH NIH HHS</funding><funding>NIAAA NIH HHS</funding><funding>Brain and Behavior Research Foundation</funding><funding>National Institutes of Health</funding><funding>Australian Research Council</funding><funding>Stiftelsen Kristian Gerhard Jebsen</funding><funding>Freistaat Sachsen</funding><funding>Norges Forskningsråd</funding><funding>European Research Council</funding><funding>Koninklijke Nederlandse Akademie van Wetenschappen</funding><funding>NIDDK NIH HHS</funding><funding>Ministerio de Ciencia e Innovación</funding><funding>Dutch Research Council (NWO)</funding><funding>National Health and Medical Research Council</funding><funding>National Institute of Mental Health</funding><funding>National Institute on Drug Abuse</funding><funding>NIH HHS</funding><funding>National Science Foundation</funding><funding>European Regional Development Fund</funding><pagination>e02188</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8413828</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(8)</volume><pubmed_abstract>&lt;h4>Background and purpose&lt;/h4>The ENIGMA-EEG working group was established to enable large-scale international collaborations among cohorts that investigate the genetics of brain function measured with electroencephalography (EEG). In this perspective, we will discuss why analyzing the genetics of functional brain activity may be crucial for understanding how neurological and psychiatric liability genes affect the brain.&lt;h4>Methods&lt;/h4>We summarize how we have performed our currently largest genome-wide association study of oscillatory brain activity in EEG recordings by meta-analyzing the results across five participating cohorts, resulting in the first genome-wide significant hits for oscillatory brain function located in/near genes that were previously associated with psychiatric disor</pubmed_abstract><journal>Brain and behavior</journal><pubmed_title>Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity.</pubmed_title><pmcid>PMC8413828</pmcid><funding_grant_id>R01MH58799‐03</funding_grant_id><funding_grant_id>K18DC017383</funding_grant_id><funding_grant_id>R21AA026919</funding_grant_id><funding_grant_id>024.001.003</funding_grant_id><funding_grant_id>1926794</funding_grant_id><funding_grant_id>R01 DK092127</funding_grant_id><funding_grant_id>01254</funding_grant_id><funding_grant_id>MH089995</funding_grant_id><funding_grant_id>MH089951</funding_grant_id><funding_grant_id>01413</funding_grant_id><funding_grant_id>21668</funding_grant_id><funding_grant_id>APP1172917</funding_grant_id><funding_grant_id>DP0212016</funding_grant_id><funding_grant_id>U10 AA008401</funding_grant_id><funding_grant_id>AA008401</funding_grant_id><funding_grant_id>230374</funding_grant_id><funding_grant_id>771057</funding_grant_id><funding_grant_id>R01D0042157-01A1</funding_grant_id><funding_grant_id>MH081802</funding_grant_id><funding_grant_id>602768</funding_grant_id><funding_grant_id>R01 MH058799</funding_grant_id><funding_grant_id>DA018673</funding_grant_id><funding_grant_id>DK092127‐04</funding_grant_id><funding_grant_id>R01D0042157‐01A1</funding_grant_id><funding_grant_id>PAH/6635</funding_grant_id><funding_grant_id>A79600334</funding_grant_id><funding_grant_id>K01DA037914</funding_grant_id><funding_grant_id>APP1158127</funding_grant_id><funding_grant_id>A79801419</funding_grant_id><funding_grant_id>EB020403</funding_grant_id><funding_grant_id>MH068457‐06</funding_grant_id><funding_grant_id>DGE‐1926736</funding_grant_id><funding_grant_id>R21 AA026919</funding_grant_id><funding_grant_id>AA009367</funding_grant_id><funding_grant_id>PGC2018‐099013‐A‐I00</funding_grant_id><funding_grant_id>P50 HD103537</funding_grant_id><funding_grant_id>DA036216</funding_grant_id><funding_grant_id>DA005147</funding_grant_id><funding_grant_id>T32 DA037183</funding_grant_id><funding_grant_id>284167</funding_grant_id><funding_grant_id>DP2HD098859</funding_grant_id><funding_grant_id>U24 MH068457</funding_grant_id><funding_grant_id>A79906588</funding_grant_id><pubmed_authors>Jawinski P</pubmed_authors><pubmed_authors>Luykx JJ</pubmed_authors><pubmed_authors>Porjesz B</pubmed_authors><pubmed_authors>de Geus EJC</pubmed_authors><pubmed_authors>Andreassen OA</pubmed_authors><pubmed_authors>Burwell SJ</pubmed_authors><pubmed_authors>Medland SE</pubmed_authors><pubmed_authors>Sander C</pubmed_authors><pubmed_authors>Hensch T</pubmed_authors><pubmed_authors>Hegerl U</pubmed_authors><pubmed_authors>Elvsashagen T</pubmed_authors><pubmed_authors>Harper J</pubmed_authors><pubmed_authors>Wright MJ</pubmed_authors><pubmed_authors>Iacono WG</pubmed_authors><pubmed_authors>Malone SM</pubmed_authors><pubmed_authors>Smit DJA</pubmed_authors><pubmed_authors>Boomsma DI</pubmed_authors><pubmed_authors>Magne CL</pubmed_authors><pubmed_authors>Sisodiya SM</pubmed_authors><pubmed_authors>Meyers JL</pubmed_authors><pubmed_authors>Moberget T</pubmed_authors><pubmed_authors>van Dellen E</pubmed_authors><pubmed_authors>Chorlian DB</pubmed_authors><pubmed_authors>Via M</pubmed_authors><pubmed_authors>Gordon RL</pubmed_authors><pubmed_authors>Jonsson EG</pubmed_authors><pubmed_authors>Thompson PM</pubmed_authors><pubmed_authors>van Beijsterveldt CEM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity.</name><description>&lt;h4>Background and purpose&lt;/h4>The ENIGMA-EEG working group was established to enable large-scale international collaborations among cohorts that investigate the genetics of brain function measured with electroencephalography (EEG). In this perspective, we will discuss why analyzing the genetics of functional brain activity may be crucial for understanding how neurological and psychiatric liability genes affect the brain.&lt;h4>Methods&lt;/h4>We summarize how we have performed our currently largest genome-wide association study of oscillatory brain activity in EEG recordings by meta-analyzing the results across five participating cohorts, resulting in the first genome-wide significant hits for oscillatory brain function located in/near genes that were previously associated with psychiatric disor</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Aug</publication><modification>2026-05-08T10:09:48.902Z</modification><creation>2022-02-11T10:21:26.109Z</creation></dates><accession>S-EPMC8413828</accession><cross_references><pubmed>34291596</pubmed><doi>10.1002/brb3.2188</doi></cross_references></HashMap>