Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes.

IF 29 1区 生物学 Q1 GENETICS & HEREDITY
Camiel M van der Laan,Hill F Ip,Marijn Schipper,Jouke-Jan Hottenga,Beate St Pourcain,Tetyana Zayats,René Pool,Eva M L Krapohl,Isabell Brikell,María Soler Artigas,Judit Cabana-Domínguez,Ilja M Nolte,Koen Bolhuis,Teemu Palviainen,Hadi Zafarmand,Scott Gordon,Fazil Aliev,S Alexandra Burt,Carol A Wang,Gretchen Saunders,Ville Karhunen,Daniel E Adkins,Richard Border,Roseann E Peterson,Joseph A Prinz,Elisabeth Thiering,Natàlia Vilor-Tejedor,Tarunveer S Ahluwalia,Andrea Allegrini,Kaili Rimfeld,Qi Chen,Yi Lu,Joanna Martin,Rosa Bosch,Josep Antoni Ramos-Quiroga,Alexander Neumann,Judith Ensink,Katrina L Grasby,José J Morosoli,Xiaoran Tong,Shelby Marrington,James G Scott,Andrey A Shabalin,Robin Corley,Luke M Evans,Karen Sugden,Silvia Alemany,Lærke Sass,Rebecca Vinding,Erik A Ehli,Fiona A Hagenbeek,Eske M Derks,Henrik Larsson,Harold Snieder,Charlotte Cecil,Alyce M Whipp,Tellervo Korhonen,Eero Vuoksimaa,Richard J Rose,André G Uitterlinden,Jan Haavik,Jennifer R Harris,Øyvind Helgeland,Stefan Johansson,Gun Peggy S Knudsen,Pal Rasmus Njolstad,Qing Lu,Alina Rodriguez,Anjali K Henders,Abdullah Mamun,Jackob M Najman,Sandy Brown,Christian Hopfer,Kenneth Krauter,Chandra A Reynolds,Andrew Smolen,Michael Stallings,Sally Wadsworth,Tamara L Wall,Lindon Eaves,Judy L Silberg,Allison Miller,Alexandra Havdahl,Sabrina Llop,Maria-Jose Lopez-Espinosa,Klaus Bønnelykke,Jordi Sunyer,Louise Arseneault,Marie Standl,Joachim Heinrich,Joseph Boden,John Pearson,John Horwood,Martin Kennedy,Richie Poulton,Hermine H Maes,John Hewitt,William E Copeland,Christel M Middeldorp,Gail M Williams,Naomi Wray,Marjo-Riitta Järvelin,Matt McGue,William Iacono,Avshalom Caspi,Terrie E Moffitt,Andrew J O Whitehouse,Craig E Pennell,Kelly L Klump,Chang Jiang,Danielle M Dick,Ted Reichborn-Kjennerud,Nicholas G Martin,Sarah E Medland,Tanja Vrijkotte,Jaakko Kaprio,Henning Tiemeier,George Davey Smith,Catharina A Hartman,Albertine J Oldehinkel,Miquel Casas,Marta Ribasés,Paul Lichtenstein,Sebastian Lundström,Robert Plomin,Meike Bartels,Michel G Nivard,Dorret I Boomsma,Natalia Llonga
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引用次数: 0

Abstract

We performed a genome-wide association meta-analysis (GWAMA) of 290,134 attention-deficit/hyperactivity disorder (ADHD) symptom measures of 70,953 unique individuals from multiple raters, ages and instruments (ADHDSYMP). Next, we meta-analyzed the results with a study of ADHD diagnosis (ADHDOVERALL). ADHDSYMP returned no genome-wide significant variants. We show that the combined ADHDOVERALL GWAMA identified 39 independent loci, of which 17 were new. Using a recently developed gene-mapping method, Fine-mapped Locus Assessment Model of Effector genes, we identified 22 potential ADHD effector genes implicating several new biological processes and pathways. Moderate negative genetic correlations (rg < -0.40) were observed with multiple cognitive traits. In three cohorts, polygenic scores (PGSs) based on ADHDOVERALL outperformed PGSs based on ADHD symptoms and diagnosis alone. Our findings support the notion that clinical ADHD is at the extreme end of a continuous liability that is indexed by ADHD symptoms. We show that including ADHD symptom counts helps to identify new genes implicated in ADHD.
儿童ADHD症状和诊断的全基因组关联荟萃分析确定了新的基因座和潜在的效应基因。
我们对来自多个评分者、年龄和工具(ADHDSYMP)的70,953个独特个体的290,134个注意缺陷/多动障碍(ADHD)症状测量进行了全基因组关联荟萃分析(GWAMA)。接下来,我们将结果与ADHD诊断研究(ADHDOVERALL)进行meta分析。ADHDSYMP未返回全基因组显著变异。我们发现联合ADHDOVERALL GWAMA鉴定出39个独立位点,其中17个是新的。使用最近开发的基因定位方法,效应基因的精细定位位点评估模型,我们确定了22个潜在的ADHD效应基因,涉及一些新的生物学过程和途径。与多项认知性状存在中度负相关(rg < -0.40)。在三个队列中,基于ADHDOVERALL的多基因评分(pgs)优于仅基于ADHD症状和诊断的pgs。我们的研究结果支持这样一种观点,即临床ADHD是由ADHD症状索引的持续责任的极端末端。我们表明,包括ADHD症状计数有助于识别与ADHD有关的新基因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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