Literature DB >> 28002544

The Genetic Architecture of Major Depressive Disorder in Han Chinese Women.

Roseann E Peterson1, Na Cai2, Tim B Bigdeli1, Yihan Li3, Mark Reimers4, Anna Nikulova5, Bradley T Webb1, Silviu-Alin Bacanu1, Brien P Riley1, Jonathan Flint6, Kenneth S Kendler1.   

Abstract

Importance: Despite the moderate, well-demonstrated heritability of major depressive disorder (MDD), there has been limited success in identifying replicable genetic risk loci, suggesting a complex genetic architecture. Research is needed to quantify the relative contribution of classes of genetic variation across the genome to inform future genetic studies of MDD.
Objectives: To apply aggregate genetic risk methods to clarify the genetic architecture of MDD by estimating and partitioning heritability by chromosome, minor allele frequency, and functional annotations and to test for enrichment of rare deleterious variants. Design, Setting, and Participants: The CONVERGE (China, Oxford, and Virginia Commonwealth University Experimental Research on Genetic Epidemiology) study collected data on 5278 patients with recurrent MDD from 58 provincial mental health centers and psychiatric departments of general medical hospitals in 45 cities and 23 provinces of China. Screened controls (n = 5196) were recruited from a range of locations, including general hospitals and local community centers. Data were collected from August 1, 2008, to October 31, 2012. Main Outcomes and Measures: Genetic risk for liability to recurrent MDD was partitioned using sparse whole-genome sequencing.
Results: In aggregate, common single-nucleotide polymorphisms (SNPs) explained between 20% and 29% of the variance in MDD risk, and the heritability in MDD explained by each chromosome was proportional to its length (r = 0.680; P = .0003), supporting a common polygenic etiology. Partitioning heritability by minor allele frequency indicated that the variance explained was distributed across the allelic frequency spectrum, although relatively common SNPs accounted for a disproportionate fraction of risk. Partitioning by genic annotation indicated a greater contribution of SNPs in protein-coding regions and within 3'-UTR regions of genes. Enrichment of SNPs associated with DNase I-hypersensitive sites was also found in many tissue types, including brain tissue. Examining burden scores from singleton exonic SNPs predicted to be deleterious indicated that cases had significantly more mutations than controls (odds ratio, 1.009; 95% CI, 1.003-1.014; P = .003), including those occurring in genes expressed in the brain (odds ratio, 1.011; 95% CI, 1.003-1.018; P = .004) and within nuclear-encoded genes with mitochondrial gene products (odds ratio, 1.075; 95% CI, 1.018-1.135; P = .009). Conclusions and Relevance: Results support a complex etiology for MDD and highlight the value of analyzing components of heritability to clarify genetic architecture.

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Year:  2017        PMID: 28002544      PMCID: PMC5319866          DOI: 10.1001/jamapsychiatry.2016.3578

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  36 in total

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Review 2.  Mitochondrial DNA polymerase-gamma and human disease.

Authors:  Gavin Hudson; Patrick F Chinnery
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3.  Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases.

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Journal:  Am J Hum Genet       Date:  2014-11-06       Impact factor: 11.025

4.  Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies.

Authors:  Amanda Nicholson; Hannah Kuper; Harry Hemingway
Journal:  Eur Heart J       Date:  2006-11-02       Impact factor: 29.983

5.  The NAD+-dependent deacetylase SIRT1 modulates CLOCK-mediated chromatin remodeling and circadian control.

Authors:  Yasukazu Nakahata; Milota Kaluzova; Benedetto Grimaldi; Saurabh Sahar; Jun Hirayama; Danica Chen; Leonard P Guarente; Paolo Sassone-Corsi
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

6.  A user's guide to the encyclopedia of DNA elements (ENCODE).

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7.  Population structure and eigenanalysis.

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Review 8.  The genetics of major depression.

Authors:  Jonathan Flint; Kenneth S Kendler
Journal:  Neuron       Date:  2014-02-05       Impact factor: 17.173

9.  Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Authors:  S Hong Lee; Stephan Ripke; Benjamin M Neale; Stephen V Faraone; Shaun M Purcell; Roy H Perlis; Bryan J Mowry; Anita Thapar; Michael E Goddard; John S Witte; Devin Absher; Ingrid Agartz; Huda Akil; Farooq Amin; Ole A Andreassen; Adebayo Anjorin; Richard Anney; Verneri Anttila; Dan E Arking; Philip Asherson; Maria H Azevedo; Lena Backlund; Judith A Badner; Anthony J Bailey; Tobias Banaschewski; Jack D Barchas; Michael R Barnes; Thomas B Barrett; Nicholas Bass; Agatino Battaglia; Michael Bauer; Mònica Bayés; Frank Bellivier; Sarah E Bergen; Wade Berrettini; Catalina Betancur; Thomas Bettecken; Joseph Biederman; Elisabeth B Binder; Donald W Black; Douglas H R Blackwood; Cinnamon S Bloss; Michael Boehnke; Dorret I Boomsma; Gerome Breen; René Breuer; Richard Bruggeman; Paul Cormican; Nancy G Buccola; Jan K Buitelaar; William E Bunney; Joseph D Buxbaum; William F Byerley; Enda M Byrne; Sian Caesar; Wiepke Cahn; Rita M Cantor; Miguel Casas; Aravinda Chakravarti; Kimberly Chambert; Khalid Choudhury; Sven Cichon; C Robert Cloninger; David A Collier; Edwin H Cook; Hilary Coon; Bru Cormand; Aiden Corvin; William H Coryell; David W Craig; Ian W Craig; Jennifer Crosbie; Michael L Cuccaro; David Curtis; Darina Czamara; Susmita Datta; Geraldine Dawson; Richard Day; Eco J De Geus; Franziska Degenhardt; Srdjan Djurovic; Gary J Donohoe; Alysa E Doyle; Jubao Duan; Frank Dudbridge; Eftichia Duketis; Richard P Ebstein; Howard J Edenberg; Josephine Elia; Sean Ennis; Bruno Etain; Ayman Fanous; Anne E Farmer; I Nicol Ferrier; Matthew Flickinger; Eric Fombonne; Tatiana Foroud; Josef Frank; Barbara Franke; Christine Fraser; Robert Freedman; Nelson B Freimer; Christine M Freitag; Marion Friedl; Louise Frisén; Louise Gallagher; Pablo V Gejman; Lyudmila Georgieva; Elliot S Gershon; Daniel H Geschwind; Ina Giegling; Michael Gill; Scott D Gordon; Katherine Gordon-Smith; Elaine K Green; Tiffany A Greenwood; Dorothy E Grice; Magdalena Gross; Detelina Grozeva; Weihua Guan; Hugh Gurling; Lieuwe De Haan; Jonathan L Haines; 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  18 in total

1.  Pathway-based polygene risk for severe depression implicates drug metabolism in CONVERGE.

Authors:  Anna R Docherty; Arden Moscati; Tim B Bigdeli; Alexis C Edwards; Roseann E Peterson; Daniel E Adkins; John S Anderson; Jonathan Flint; Kenneth S Kendler; Silviu-Alin Bacanu
Journal:  Psychol Med       Date:  2019-04-02       Impact factor: 7.723

2.  Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk.

Authors:  H M van Loo; C D Van Borkulo; R E Peterson; E I Fried; S H Aggen; D Borsboom; K S Kendler
Journal:  J Affect Disord       Date:  2017-10-29       Impact factor: 4.839

3.  Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression.

Authors:  Roseann E Peterson; Na Cai; Andy W Dahl; Tim B Bigdeli; Alexis C Edwards; Bradley T Webb; Silviu-Alin Bacanu; Noah Zaitlen; Jonathan Flint; Kenneth S Kendler
Journal:  Am J Psychiatry       Date:  2018-03-02       Impact factor: 18.112

4.  Whole-genome single nucleotide variant distribution on genomic regions and its relationship to major depression.

Authors:  Chenglong Yu; Bernhard T Baune; Julio Licinio; Ma-Li Wong
Journal:  Psychiatry Res       Date:  2017-02-20       Impact factor: 3.222

Review 5.  Treatment resistant depression: A multi-scale, systems biology approach.

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Review 6.  Genetics Factors in Major Depression Disease.

Authors:  Maria Shadrina; Elena A Bondarenko; Petr A Slominsky
Journal:  Front Psychiatry       Date:  2018-07-23       Impact factor: 4.157

7.  The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.

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Journal:  Neuropsychopharmacology       Date:  2017-10-09       Impact factor: 7.853

8.  A Longitudinal Model of Human Neuronal Differentiation for Functional Investigation of Schizophrenia Polygenic Risk.

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9.  Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population.

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Review 10.  Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.

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