Literature DB >> 33479212

Integrative analysis of genome-wide association studies identifies novel loci associated with neuropsychiatric disorders.

Xueming Yao1, Joseph T Glessner2, Junyi Li1, Xiaohui Qi1, Xiaoyuan Hou1, Chonggui Zhu3, Xiaoge Li4, Michael E March2, Liu Yang5,6, Frank D Mentch2, Heather S Hain2, Xinyi Meng1, Qianghua Xia7, Hakon Hakonarson8,9,10, Jin Li11,12,13.   

Abstract

Neuropsychiatric disorders, such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) share common clinical presentations, suggesting etiologic overlap. A substantial proportion of SNP-based heritability for neuropsychiatric disorders is attributable to genetic components, and genome-wide association studies (GWASs) focusing on individual diseases have identified multiple genetic loci shared between these diseases. Here, we aimed at identifying novel genetic loci associated with individual neuropsychiatric diseases and genetic loci shared by neuropsychiatric diseases. We performed multi-trait joint analyses and meta-analysis across five neuropsychiatric disorders based on their summary statistics from the Psychiatric Genomics Consortium (PGC), and further carried out a replication study of ADHD among 2726 cases and 16299 controls in an independent pediatric cohort. In the multi-trait joint analyses, we found five novel genome-wide significant loci for ADHD, one novel locus for BIP, and ten novel loci for MDD. We further achieved modest replication in our independent pediatric dataset. We conducted fine-mapping and functional annotation through an integrative multi-omics approach and identified causal variants and potential target genes at each novel locus. Gene expression profile and gene-set enrichment analysis further suggested early developmental stage expression pattern and postsynaptic membrane compartment enrichment of candidate genes at the genome-wide significant loci of these neuropsychiatric disorders. Therefore, through a multi-omics approach, we identified novel genetic loci associated with the five neuropsychiatric disorders which may help to better understand the underlying molecular mechanism of neuropsychiatric diseases.

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Year:  2021        PMID: 33479212      PMCID: PMC7820351          DOI: 10.1038/s41398-020-01195-5

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  94 in total

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Authors:  Max Lam; W David Hill; Joey W Trampush; Jin Yu; Emma Knowles; Gail Davies; Eli Stahl; Laura Huckins; David C Liewald; Srdjan Djurovic; Ingrid Melle; Kjetil Sundet; Andrea Christoforou; Ivar Reinvang; Pamela DeRosse; Astri J Lundervold; Vidar M Steen; Thomas Espeseth; Katri Räikkönen; Elisabeth Widen; Aarno Palotie; Johan G Eriksson; Ina Giegling; Bettina Konte; Annette M Hartmann; Panos Roussos; Stella Giakoumaki; Katherine E Burdick; Antony Payton; William Ollier; Ornit Chiba-Falek; Deborah K Attix; Anna C Need; Elizabeth T Cirulli; Aristotle N Voineskos; Nikos C Stefanis; Dimitrios Avramopoulos; Alex Hatzimanolis; Dan E Arking; Nikolaos Smyrnis; Robert M Bilder; Nelson A Freimer; Tyrone D Cannon; Edythe London; Russell A Poldrack; Fred W Sabb; Eliza Congdon; Emily Drabant Conley; Matthew A Scult; Dwight Dickinson; Richard E Straub; Gary Donohoe; Derek Morris; Aiden Corvin; Michael Gill; Ahmad R Hariri; Daniel R Weinberger; Neil Pendleton; Panos Bitsios; Dan Rujescu; Jari Lahti; Stephanie Le Hellard; Matthew C Keller; Ole A Andreassen; Ian J Deary; David C Glahn; Anil K Malhotra; Todd Lencz
Journal:  Am J Hum Genet       Date:  2019-08-01       Impact factor: 11.025

3.  The heritability of bipolar affective disorder and the genetic relationship to unipolar depression.

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Journal:  Arch Gen Psychiatry       Date:  2003-05

4.  Heritability of bipolar spectrum disorders. Unity or heterogeneity?

Authors:  Jack Edvardsen; Svenn Torgersen; Espen Røysamb; Sissel Lygren; Ingunn Skre; Sidsel Onstad; Per Anders Oien
Journal:  J Affect Disord       Date:  2007-08-09       Impact factor: 4.839

5.  A genome-wide association study of schizophrenia using brain activation as a quantitative phenotype.

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6.  MAGMA: generalized gene-set analysis of GWAS data.

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Journal:  PLoS Comput Biol       Date:  2015-04-17       Impact factor: 4.475

7.  Association of Rare Copy Number Variants With Risk of Depression.

Authors:  Kimberley Marie Kendall; Elliott Rees; Matthew Bracher-Smith; Sophie Legge; Lucy Riglin; Stanley Zammit; Michael Conlon O'Donovan; Michael John Owen; Ian Jones; George Kirov; James Tynan Rhys Walters
Journal:  JAMA Psychiatry       Date:  2019-08-01       Impact factor: 21.596

8.  FINEMAP: efficient variable selection using summary data from genome-wide association studies.

Authors:  Christian Benner; Chris C A Spencer; Aki S Havulinna; Veikko Salomaa; Samuli Ripatti; Matti Pirinen
Journal:  Bioinformatics       Date:  2016-01-14       Impact factor: 6.937

9.  A polygenic p factor for major psychiatric disorders.

Authors:  Saskia Selzam; Jonathan R I Coleman; Avshalom Caspi; Terrie E Moffitt; Robert Plomin
Journal:  Transl Psychiatry       Date:  2018-10-02       Impact factor: 6.222

Review 10.  Genomic insights into the overlap between psychiatric disorders: implications for research and clinical practice.

Authors:  Joanne L Doherty; Michael J Owen
Journal:  Genome Med       Date:  2014-04-28       Impact factor: 11.117

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