Literature DB >> 36017067

Neuropsychiatric Genetics of Psychosis in the Mexican Population: A Genome-Wide Association Study Protocol for Schizophrenia, Schizoaffective, and Bipolar Disorder Patients and Controls.

Beatriz Camarena1, Elizabeth G Atkinson2,3,4, Mark Baker2, Claudia Becerra-Palars5, Lori B Chibnik2,3, Raúl Escamilla-Orozco5, Joanna Jiménez-Pavón5, Zan Koenig6, Carla Márquez-Luna7, Alicia R Martin2,3,4, Ingrid Pamela Morales-Cedillo1, Ana Maria Olivares2, Hiram Ortega-Ortiz5, Alejandra Monserrat Rodriguez-Ramírez1, Ricardo Saracco-Alvarez8, Rebecca E Basaldua6, Brena F Sena2,6, Karestan C Koenen2,6.   

Abstract

No large-scale genome-wide association studies (GWASs) of psychosis have been conducted in Mexico or Latin America to date. Schizophrenia and bipolar disorder in particular have been found to be highly heritable and genetically influenced. However, understanding of the biological basis of psychosis in Latin American populations is limited as previous genomic studies have almost exclusively relied on participants of Northern European ancestry. With the goal of expanding knowledge on the genomic basis of psychotic disorders within the Mexican population, the National Institute of Psychiatry Ramón de la Fuente Muñiz (INPRFM), the Harvard T.H. Chan School of Public Health, and the Broad Institute's Stanley Center for Psychiatric Research launched the Neuropsychiatric Genetics Research of Psychosis in Mexican Populations (NeuroMex) project to collect and analyze case-control psychosis samples from 5 states across Mexico. This article describes the planned sample collection and GWAS protocol for the NeuroMex study. The 4-year study will span from April 2018 to 2022 and aims to recruit 9,208 participants: 4,604 cases and 4,604 controls. Study sites across Mexico were selected to ensure collected samples capture the genomic diversity within the Mexican population. Blood samples and phenotypic data will be collected during the participant interview process and will contribute to the development of a local biobank in Mexico. DNA extraction will be done locally and genetic analysis will take place at the Broad Institute in Cambridge, MA. We will collect extensive phenotypic information using several clinical scales. All study materials including phenotypic instruments utilized are openly available in Spanish and English. The described study represents a long-term collaboration of a number of institutions from across Mexico and the Boston area, including clinical psychiatrists, clinical researchers, computational biologists, and managers at the 3 collaborating institutions. The development of relevant data management, quality assurance, and analysis plans are the primary considerations in this protocol article. Extensive management and analysis processes were developed for both the phenotypic and genetic data collected. Capacity building, partnerships, and training between and among the collaborating institutions are intrinsic components to this study and its long-term success.
Copyright © 2021 by S. Karger AG, Basel.

Entities:  

Keywords:  Bipolar disorder; Genome-wide association studies; Mexico; Neuropsychiatric genetics; Psychosis; Schizophrenia

Year:  2021        PMID: 36017067      PMCID: PMC8740081          DOI: 10.1159/000518926

Source DB:  PubMed          Journal:  Complex Psychiatry        ISSN: 2673-298X


  58 in total

1.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

2.  RFMix: a discriminative modeling approach for rapid and robust local-ancestry inference.

Authors:  Brian K Maples; Simon Gravel; Eimear E Kenny; Carlos D Bustamante
Journal:  Am J Hum Genet       Date:  2013-08-01       Impact factor: 11.025

3.  Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia.

Authors:  Zhiqiang Li; Jianhua Chen; Hao Yu; Lin He; Yifeng Xu; Dai Zhang; Qizhong Yi; Changgui Li; Xingwang Li; Jiawei Shen; Zhijian Song; Weidong Ji; Meng Wang; Juan Zhou; Boyu Chen; Yahui Liu; Jiqiang Wang; Peng Wang; Ping Yang; Qingzhong Wang; Guoyin Feng; Benxiu Liu; Wensheng Sun; Baojie Li; Guang He; Weidong Li; Chunling Wan; Qi Xu; Wenjin Li; Zujia Wen; Ke Liu; Fang Huang; Jue Ji; Stephan Ripke; Weihua Yue; Patrick F Sullivan; Michael C O'Donovan; Yongyong Shi
Journal:  Nat Genet       Date:  2017-10-09       Impact factor: 38.330

4.  Data quality control in genetic case-control association studies.

Authors:  Carl A Anderson; Fredrik H Pettersson; Geraldine M Clarke; Lon R Cardon; Andrew P Morris; Krina T Zondervan
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

5.  A twin study of genetic relationships between psychotic symptoms.

Authors:  Alastair G Cardno; Frühling V Rijsdijk; Pak C Sham; Robin M Murray; Peter McGuffin
Journal:  Am J Psychiatry       Date:  2002-04       Impact factor: 18.112

Review 6.  Genetic relationships between schizophrenia, bipolar disorder, and schizoaffective disorder.

Authors:  Alastair G Cardno; Michael J Owen
Journal:  Schizophr Bull       Date:  2014-02-24       Impact factor: 9.306

7.  Evidence that polygenic risk for psychotic disorder is expressed in the domain of neurodevelopment, emotion regulation and attribution of salience.

Authors:  J van Os; Y van der Steen; Md A Islam; S Gülöksüz; B P Rutten; C J Simons
Journal:  Psychol Med       Date:  2017-04-24       Impact factor: 7.723

Review 8.  5HTTLPR: White Knight or Dark Blight?

Authors:  Dennis L Murphy; Michelle S Maile; Nicholas M Vogt
Journal:  ACS Chem Neurosci       Date:  2013-01-16       Impact factor: 4.418

9.  RICOPILI: Rapid Imputation for COnsortias PIpeLIne.

Authors:  Max Lam; Swapnil Awasthi; Hunna J Watson; Jackie Goldstein; Georgia Panagiotaropoulou; Vassily Trubetskoy; Robert Karlsson; Oleksander Frei; Chun-Chieh Fan; Ward De Witte; Nina R Mota; Niamh Mullins; Kim Brügger; S Hong Lee; Naomi R Wray; Nora Skarabis; Hailiang Huang; Benjamin Neale; Mark J Daly; Manuel Mattheisen; Raymond Walters; Stephan Ripke
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

10.  The Identification of Admixture Patterns Could Refine Pharmacogenetic Counseling: Analysis of a Population-Based Sample in Mexico.

Authors:  José Jaime Martínez-Magaña; Alma Delia Genis-Mendoza; Jorge Ameth Villatoro Velázquez; Beatriz Camarena; Raul Martín Del Campo Sanchez; Clara Fleiz Bautista; Marycarmen Bustos Gamiño; Esbehidy Reséndiz; Alejandro Aguilar; María Elena Medina-Mora; Humberto Nicolini
Journal:  Front Pharmacol       Date:  2020-04-22       Impact factor: 5.810

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