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Jabalameli MR, Lin JR, Zhang Q, Wang Z, Mitra J, Nguyen N, Gao T, Khusidman M, Sathyan S, Atzmon G, Milman S, Vijg J, Barzilai N, Zhang ZD. Polygenic prediction of human longevity on the supposition of pervasive pleiotropy. Sci Rep 2024; 14:19981. [PMID: 39198552 DOI: 10.1038/s41598-024-69069-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 07/31/2024] [Indexed: 09/01/2024] Open
Abstract
The highly polygenic nature of human longevity renders pleiotropy an indispensable feature of its genetic architecture. Leveraging the genetic correlation between aging-related traits (ARTs), we aimed to model the additive variance in lifespan as a function of the cumulative liability from pleiotropic segregating variants. We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. Given the highly complex and non-linear interactions between the genetic determinants of longevity, we reasoned that a composite polygenic score would approximate a substantial portion of the variance in lifespan and developed the integrated longevity genetic scores (iLGSs) for distinguishing exceptional survival. We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. We assessed the predictive performance of our model for distinguishing the enrichment of exceptional longevity among long-lived individuals in two replication cohorts (the Scripps Wellderly cohort and the Medical Genome Reference Bank (MRGB)) and showed that the median lifespan in the highest decile of our composite prognostic index is up to 4.8 years longer. Finally, using the proteomic correlates of iLGS, we identified protein markers associated with exceptional longevity irrespective of chronological age and prioritized drugs with repurposing potentials for gerotherapeutics. Together, our approach demonstrates a promising framework for polygenic modeling of additive liability conferred by ARTs in defining exceptional longevity and assisting the identification of individuals at a higher risk of mortality for targeted lifestyle modifications earlier in life. Furthermore, the proteomic signature associated with iLGS highlights the functional pathway upstream of the PI3K-Akt that can be effectively targeted to slow down aging and extend lifespan.
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Affiliation(s)
- M Reza Jabalameli
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Jhih-Rong Lin
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Quanwei Zhang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Zhen Wang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Joydeep Mitra
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Nha Nguyen
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Tina Gao
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Mark Khusidman
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Sanish Sathyan
- Department of Neurology, Albert Einstein College of Medicine, New York, NY, USA
| | - Gil Atzmon
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Sofiya Milman
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Jan Vijg
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
- Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Zhengdong D Zhang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA.
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2
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Taylor DJ, Chhetri SB, Tassia MG, Biddanda A, Yan SM, Wojcik GL, Battle A, McCoy RC. Sources of gene expression variation in a globally diverse human cohort. Nature 2024; 632:122-130. [PMID: 39020179 PMCID: PMC11291278 DOI: 10.1038/s41586-024-07708-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 06/12/2024] [Indexed: 07/19/2024]
Abstract
Genetic variation that influences gene expression and splicing is a key source of phenotypic diversity1-5. Although invaluable, studies investigating these links in humans have been strongly biased towards participants of European ancestries, which constrains generalizability and hinders evolutionary research. Here to address these limitations, we developed MAGE, an open-access RNA sequencing dataset of lymphoblastoid cell lines from 731 individuals from the 1000 Genomes Project6, spread across 5 continental groups and 26 populations. Most variation in gene expression (92%) and splicing (95%) was distributed within versus between populations, which mirrored the variation in DNA sequence. We mapped associations between genetic variants and expression and splicing of nearby genes (cis-expression quantitative trait loci (eQTLs) and cis-splicing QTLs (sQTLs), respectively). We identified more than 15,000 putatively causal eQTLs and more than 16,000 putatively causal sQTLs that are enriched for relevant epigenomic signatures. These include 1,310 eQTLs and 1,657 sQTLs that are largely private to underrepresented populations. Our data further indicate that the magnitude and direction of causal eQTL effects are highly consistent across populations. Moreover, the apparent 'population-specific' effects observed in previous studies were largely driven by low resolution or additional independent eQTLs of the same genes that were not detected. Together, our study expands our understanding of human gene expression diversity and provides an inclusive resource for studying the evolution and function of human genomes.
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Affiliation(s)
- Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Surya B Chhetri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Michael G Tassia
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Arjun Biddanda
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Stephanie M Yan
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
- Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
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3
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Taylor DJ, Eizenga JM, Li Q, Das A, Jenike KM, Kenny EE, Miga KH, Monlong J, McCoy RC, Paten B, Schatz MC. Beyond the Human Genome Project: The Age of Complete Human Genome Sequences and Pangenome References. Annu Rev Genomics Hum Genet 2024; 25:77-104. [PMID: 38663087 DOI: 10.1146/annurev-genom-021623-081639] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
The Human Genome Project was an enormous accomplishment, providing a foundation for countless explorations into the genetics and genomics of the human species. Yet for many years, the human genome reference sequence remained incomplete and lacked representation of human genetic diversity. Recently, two major advances have emerged to address these shortcomings: complete gap-free human genome sequences, such as the one developed by the Telomere-to-Telomere Consortium, and high-quality pangenomes, such as the one developed by the Human Pangenome Reference Consortium. Facilitated by advances in long-read DNA sequencing and genome assembly algorithms, complete human genome sequences resolve regions that have been historically difficult to sequence, including centromeres, telomeres, and segmental duplications. In parallel, pangenomes capture the extensive genetic diversity across populations worldwide. Together, these advances usher in a new era of genomics research, enhancing the accuracy of genomic analysis, paving the path for precision medicine, and contributing to deeper insights into human biology.
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Affiliation(s)
- Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA; , ,
| | - Jordan M Eizenga
- Genomics Institute, University of California, Santa Cruz, California, USA; , ,
| | - Qiuhui Li
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA; ,
| | - Arun Das
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA; ,
| | - Katharine M Jenike
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA;
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA;
| | - Karen H Miga
- Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA
- Genomics Institute, University of California, Santa Cruz, California, USA; , ,
| | - Jean Monlong
- Institut de Recherche en Santé Digestive, Université de Toulouse, INSERM, INRA, ENVT, UPS, Toulouse, France;
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA; , ,
| | - Benedict Paten
- Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA
- Genomics Institute, University of California, Santa Cruz, California, USA; , ,
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA; ,
- Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA; , ,
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4
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Hou K, Xu Z, Ding Y, Mandla R, Shi Z, Boulier K, Harpak A, Pasaniuc B. Calibrated prediction intervals for polygenic scores across diverse contexts. Nat Genet 2024; 56:1386-1396. [PMID: 38886587 DOI: 10.1038/s41588-024-01792-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 05/08/2024] [Indexed: 06/20/2024]
Abstract
Polygenic scores (PGS) have emerged as the tool of choice for genomic prediction in a wide range of fields. We show that PGS performance varies broadly across contexts and biobanks. Contexts such as age, sex and income can impact PGS accuracy with similar magnitudes as genetic ancestry. Here we introduce an approach (CalPred) that models all contexts jointly to produce prediction intervals that vary across contexts to achieve calibration (include the trait with 90% probability), whereas existing methods are miscalibrated. In analyses of 72 traits across large and diverse biobanks (All of Us and UK Biobank), we find that prediction intervals required adjustment by up to 80% for quantitative traits. For disease traits, PGS-based predictions were miscalibrated across socioeconomic contexts such as annual household income levels, further highlighting the need of accounting for context information in PGS-based prediction across diverse populations.
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Affiliation(s)
- Kangcheng Hou
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
| | - Ziqi Xu
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
| | - Yi Ding
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Ravi Mandla
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Zhuozheng Shi
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Kristin Boulier
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA
| | - Arbel Harpak
- Department of Population Health, The University of Texas at Austin, Austin, TX, USA
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Bogdan Pasaniuc
- Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Institute for Precision Health, University of California Los Angeles, Los Angeles, CA, USA.
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5
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Crowley JJ, Cappi C, Ochoa-Panaifo ME, Frederick RM, Kook M, Wiese AD, Rancourt D, Atkinson EG, Giusti-Rodriguez P, Anderberg JL, Abramowitz JS, Adorno VR, Aguirre C, Alves GS, Alves GS, Ancalade N, Arellano Espinosa AA, Arnold PD, Ayton DM, Barbosa IG, Castano LMB, Barrera CN, Berardo MC, Berrones D, Best JR, Bigdeli TB, Burton CL, Buxbaum JD, Callahan JL, Carneiro MCB, Cepeda SL, Chazelle E, Chire JM, Munoz MC, Quiroz PC, Cobite J, Comer JS, Costa DL, Crosbie J, Cruz VO, Dager G, Daza LF, de la Rosa-Gómez A, Del Río D, Delage FZ, Dreher CB, Fay L, Fazio T, Ferrão YA, Ferreira GM, Figueroa EG, Fontenelle LF, Forero DA, Fragoso DTH, Gadad BS, Garrison SR, González A, Gonzalez LD, González MA, Gonzalez-Barrios P, Goodman WK, Grice DE, Guintivano J, Guttfreund DG, Guzick AG, Halvorsen MW, Hovey JD, Huang H, Irreño-Sotomonte J, Janssen-Aguilar R, Jensen M, Jimenez Reynolds AZ, Lujambio JAJ, Khalfe N, Knutsen MA, Lack C, Lanzagorta N, Lima MO, Longhurst MO, Lozada Martinez DA, Luna ES, Marques AH, Martinez MS, de Los Angeles Matos M, Maye CE, McGuire JF, Menezes G, Minaya C, Miño T, Mithani SM, de Oca CM, Morales-Rivero A, Moreira-de-Oliveira ME, Morris OJ, Muñoz SI, Naqqash Z, Núñez Bracho AA, Núñez Bracho BE, Rojas MCO, Olavarria Castaman LA, Balmaceda TO, Ortega I, Patel DI, Patrick AK, Paz Y Mino M, Perales Orellana JL, Stumpf BP, Peregrina T, Duarte TP, Piacsek KL, Placencia M, Prieto MB, Quarantini LC, Quarantini-Alvim Y, Ramos RT, Ramos IC, Ramos VR, Ramsey KA, Ray EV, Richter MA, Riemann BC, Rivas JC, Rosario MC, Ruggero CJ, Ruiz-Chow AA, Ruiz-Velasco A, Sagarnaga MN, Sampaio AS, Saraiva LC, Schachar RJ, Schneider SC, Schweissing EJ, Seligman LD, Shavitt RG, Soileau KJ, Stewart SE, Storch SB, Strouphauer ER, Cuevas VT, Timpano KR, la Garza BTD, Vallejo-Silva A, Vargas-Medrano J, Vásquez MI, Martinez GV, Weinzimmer SA, Yanez MA, Zai G, Zapata-Restrepo LM, Zappa LM, Zepeda-Burgos RM, Zoghbi AW, Miguel EC, Rodriguez CI, Martinez Mallen MC, Moya PR, Borda T, Moyano MB, Mattheisen M, Pereira S, Lázaro-Muñoz G, Martinez-Gonzalez KG, Pato MT, Nicolini H, Storch EA. Latin American Trans-ancestry INitiative for OCD genomics (LATINO): Study protocol. Am J Med Genet B Neuropsychiatr Genet 2024; 195:e32962. [PMID: 37946624 PMCID: PMC11076176 DOI: 10.1002/ajmg.b.32962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 09/26/2023] [Accepted: 10/06/2023] [Indexed: 11/12/2023]
Abstract
Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder. Worldwide, its prevalence is ~2% and its etiology is mostly unknown. Identifying biological factors contributing to OCD will elucidate underlying mechanisms and might contribute to improved treatment outcomes. Genomic studies of OCD are beginning to reveal long-sought risk loci, but >95% of the cases currently in analysis are of homogenous European ancestry. If not addressed, this Eurocentric bias will result in OCD genomic findings being more accurate for individuals of European ancestry than other ancestries, thereby contributing to health disparities in potential future applications of genomics. In this study protocol paper, we describe the Latin American Trans-ancestry INitiative for OCD genomics (LATINO, https://www.latinostudy.org). LATINO is a new network of investigators from across Latin America, the United States, and Canada who have begun to collect DNA and clinical data from 5000 richly phenotyped OCD cases of Latin American ancestry in a culturally sensitive and ethical manner. In this project, we will utilize trans-ancestry genomic analyses to accelerate the identification of OCD risk loci, fine-map putative causal variants, and improve the performance of polygenic risk scores in diverse populations. We will also capitalize on rich clinical data to examine the genetics of treatment response, biologically plausible OCD subtypes, and symptom dimensions. Additionally, LATINO will help elucidate the diversity of the clinical presentations of OCD across cultures through various trainings developed and offered in collaboration with Latin American investigators. We believe this study will advance the important goal of global mental health discovery and equity.
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Affiliation(s)
- James J Crowley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Carolina Cappi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | | | - Renee M Frederick
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Minjee Kook
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Andrew D Wiese
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Diana Rancourt
- Department of Psychology, University of South Florida, Tampa, Florida, USA
| | - Elizabeth G Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Paola Giusti-Rodriguez
- Department of Psychiatry, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Jacey L Anderberg
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Jonathan S Abramowitz
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Victor R Adorno
- Hospital Psiquiátrico de Asunción, Direccion General, Asuncion, Central, Paraguay
| | - Cinthia Aguirre
- Departamento de Psiquiatría, Hospital Psiquiátrico de Asunción, Asuncion, Central, Paraguay
| | - Gilberto S Alves
- Hospital Nina Rodrigues/Universidade Federal do Maranhão (UFMA), Sao Luis do Maranhao, Maranhao, Brazil
| | - Gustavo S Alves
- Hospital Universitário Professor Edgard Santos, Serviço de Psiquiatria, Laboratório de Neuropsicofarmacologia-LANP, Universidade Federal da Bahia, Salvador, Bahia, Brazil
- Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Pós-Graduação em Medicina e Saúde, Salvador, Bahia, Brazil
| | - NaEshia Ancalade
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Daphne M Ayton
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Izabela G Barbosa
- Departamento de Saúde Mental da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | | | - María Celeste Berardo
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Dayan Berrones
- Department of Psychology, Rice University, Houston, Texas, USA
| | - John R Best
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- VA New York Harbor Healthcare System, Brooklyn, New York, USA
| | - Christie L Burton
- Department of Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Maria Cecília B Carneiro
- Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Paraná, Curitiba, Parana, Brazil
| | - Sandra L Cepeda
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Evelyn Chazelle
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Jessica M Chire
- Instituto Nacional de Salud Mental "Honorio Delgado-Hideyo Noguchi", Dirección de Niños y Adolescentes Lima, Lima, Peru
| | | | | | - Journa Cobite
- Department of Counseling Psychology, University of Houston, Houston, Texas, USA
| | - Jonathan S Comer
- Department of Psychology, Florida International University, Miami, Florida, USA
| | - Daniel L Costa
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Jennifer Crosbie
- Department of Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Victor O Cruz
- Instituto Nacional de Salud Mental "Honorio Delgado-Hideyo Noguchi", Oficina Ejecutiva de Investigación, Lima, Lima, Peru
- School of Medicine, Universidad San Martin de Porres, Lima, Lima, Peru
| | - Guillermo Dager
- Corporación Universitaria Rafael Nuñez, Cartagena, Bolivar, Colombia
| | - Luisa F Daza
- Hospital Psiquiátrico Universitario Del Valle, Cali, Valle del Cauca, Colombia
| | - Anabel de la Rosa-Gómez
- Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | | | - Fernanda Z Delage
- Departamento de Medicina Forense e Psiquiatria, Universidade Federal do Paraná, Curitiba, Parana, Brazil
| | - Carolina B Dreher
- Departamento de Psiquiatria, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Psiquiatria, Clínica Médica, Porto Alegre, Rio Grande do Sul, Brazil
| | - Lucila Fay
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Tomas Fazio
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Ygor A Ferrão
- Departamento de Psiquiatria, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Gabriela M Ferreira
- Departamento de Medicina Forense e Psiquiatria, Universidade Federal do Paraná, Curitiba, Parana, Brazil
- Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Parana, Brazil
| | - Edith G Figueroa
- Departamento de Psiquiatría de Adultos, Instituto Nacional de Salud Mental "Honorio Delgado-Hideyo Noguchi", Lima, Lima, Peru
| | - Leonardo F Fontenelle
- Departamento de Psiquiatria e Medicina Legal, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
- Departamento de Psiquiatria, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Diego A Forero
- Fundación Universitaria del Área Andina, Escuela de Salud y Ciencias del Deporte, Bogota, Bogota, Colombia
| | - Daniele T H Fragoso
- Departamento de Medicina Forense e Psiquiatria, Universidade Federal do Paraná, Curitiba, Parana, Brazil
| | - Bharathi S Gadad
- Department of Psychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | | | | | - Laura D Gonzalez
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Marco A González
- Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Polaris Gonzalez-Barrios
- Departamento de Psiquiatría, Universidad de Puerto Rico, San Juan, Puerto Rico, USA
- Universidad de Puerto Rico Campus de Ciências Médicas, San Juan, Puerto Rico, USA
| | - Wayne K Goodman
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Dorothy E Grice
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jerry Guintivano
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Andrew G Guzick
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Matthew W Halvorsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joseph D Hovey
- Department of Psychological Science, The University of Texas Rio Grande Valley, Edinburg, Texas, USA
| | - Hailiang Huang
- Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, Massachusetts, USA
| | - Jonathan Irreño-Sotomonte
- Center for Mental Health-Cersame, School of Medicine and Health Sciences, Universidad del Rosario, Bogota, District of Colombia, Colombia
| | - Reinhard Janssen-Aguilar
- Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suarez, Subdirección de Psiquiatría, Ciudad de México, Ciudad de Mexico, Mexico
| | - Matias Jensen
- Centro de Neurociencias, Universidad de Valparaíso, Valparaiso, Chile
| | | | | | - Nasim Khalfe
- Baylor College of Medicine, School of Medicine, Houston, Texas, USA
| | - Madison A Knutsen
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
- Department of Psychology, Augustana College, Rock Island, Illinois, USA
| | - Caleb Lack
- Department of Psychology, University of Central Oklahoma, Edmond, Oklahoma, USA
| | - Nuria Lanzagorta
- Departamento de Investigación Clínica, Grupo Médico Carracci, Ciudad de México, Ciudad de Mexico, Mexico
| | - Monicke O Lima
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Melanie O Longhurst
- Department of Psychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | | | - Elba S Luna
- Instituto Nacional de Salud Mental "Honorio Delgado-Hideyo Noguchi", Oficina Ejecutiva de Investigación, Lima, Lima, Peru
| | - Andrea H Marques
- National Institute of Mental Heatlh (NIMH), Bethesda, Maryland, USA
| | - Molly S Martinez
- DFW OCD Treatment Specialists, Richardson, Texas, USA
- Specialists in OCD and Anxiety Recovery (SOAR), Richardson, Texas, USA
| | - Maria de Los Angeles Matos
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Caitlyn E Maye
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Joseph F McGuire
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gabriela Menezes
- Programa de Ansiedade, Obsessões e Compulsões, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Charlene Minaya
- Department of Psychology, Fordham University, New York, New York, USA
| | - Tomás Miño
- Centro de Neurociencias, Universidad de Valparaíso, Valparaiso, Chile
| | - Sara M Mithani
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | | | | | - Maria E Moreira-de-Oliveira
- Programa de Ansiedade, Obsessões e Compulsões, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Olivia J Morris
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Sandra I Muñoz
- Facultad de Estudios Superiores Iztacala, Tlalnepantla de Baz, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Zainab Naqqash
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | - Trinidad Olivos Balmaceda
- Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Valparaiso, Valparaiso, Chile
| | - Iliana Ortega
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Darpan I Patel
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Ainsley K Patrick
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Mariel Paz Y Mino
- Clínica de Salud Mental USFQ, Universidad San Francisco de Quito, Quito, Pichincha, Ecuador
- Universidad San Francisco de Quito, Quito, Pichincha, Ecuador
| | - Jose L Perales Orellana
- Universidad Tegnológica Privada de Santa Cruz (UTEPSA), Santa Cruz de la Sierra, Andres Ibañez, Bolivia
| | - Bárbara Perdigão Stumpf
- Departamento de Saúde Mental da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | | | | | - Maritza Placencia
- Departamento Académico de Ciencias Dinámicas, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - María Belén Prieto
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
| | - Lucas C Quarantini
- Hospital Universitário Professor Edgard Santos, Serviço de Psiquiatria, Laboratório de Neuropsicofarmacologia-LANP, Universidade Federal da Bahia, Salvador, Bahia, Brazil
- Departamento de Neurociências e Saúde Mental, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Yana Quarantini-Alvim
- Hospital Universitário Professor Edgard Santos, Serviço de Psiquiatria, Laboratório de Neuropsicofarmacologia-LANP, Universidade Federal da Bahia, Salvador, Bahia, Brazil
- Faculdade Santa Casa, Faculdade de Psicologia, Salvador, Bahia, Brazil
| | - Renato T Ramos
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Iaroslava C Ramos
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Psychiatry, Frederick Thompson Anxiety Disorders Centre, Toronto, Ontario, Canada
| | - Vanessa R Ramos
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Kesley A Ramsey
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Elise V Ray
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Margaret A Richter
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Juan C Rivas
- Hospital Psiquiátrico Universitario Del Valle, Cali, Valle del Cauca, Colombia
- Departamento de Psiquiatría, Universidad del Valle, Cali, Valle del Cauca, Colombia
- Departamento de Psiquiatria, Universidad ICESI, Cali, Valle del Cauca, Colombia
- Departamento de Psiquiatria, Fundación Valle del Lili, Cali, Valle del Cauca, Colombia
| | - Maria C Rosario
- Departamento de Psiquiatria da, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Sao Paulo, Brazil
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, Texas, USA
| | | | - Alejandra Ruiz-Velasco
- Department of Psychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Melisa N Sagarnaga
- Facultad de Psicología, Universidad de Buenos Aires, Buenos Aires, Buenos Aires, Argentina
| | - Aline S Sampaio
- Hospital Universitário Professor Edgard Santos, Serviço de Psiquiatria, Laboratório de Neuropsicofarmacologia-LANP, Universidade Federal da Bahia, Salvador, Bahia, Brazil
- Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Pós-Graduação em Medicina e Saúde, Salvador, Bahia, Brazil
- Departamento de Neurociências e Saúde Mental, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Leonardo C Saraiva
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Russell J Schachar
- Department of Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Sophie C Schneider
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Ethan J Schweissing
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Laura D Seligman
- Department of Psychological Science, The University of Texas Rio Grande Valley, Edinburg, Texas, USA
| | - Roseli G Shavitt
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Keaton J Soileau
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - S Evelyn Stewart
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
- BC Mental Health and Substance Use Services, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Shaina B Storch
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Vissente Tapia Cuevas
- Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Valparaiso, Valparaiso, Chile
| | - Kiara R Timpano
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | | | - Alexie Vallejo-Silva
- Center for Mental Health-Cersame, School of Medicine and Health Sciences, Universidad del Rosario, Bogota, District of Colombia, Colombia
| | - Javier Vargas-Medrano
- Department of Psychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - María I Vásquez
- Hospital Nacional Arzobispo Loayza, Servicio de Salud Mental, Lima, Lima, Peru
| | - Guadalupe Vidal Martinez
- Department of Psychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Saira A Weinzimmer
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Mauricio A Yanez
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Gwyneth Zai
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Brain Sciences, Centre for Addiction and Mental Health, Neurogenetics Section, Toronto, Ontario, Canada
| | - Lina M Zapata-Restrepo
- Departamento de Psiquiatria, Fundación Valle del Lili, Cali, Valle del Cauca, Colombia
- Facultad de Ciencias de la Salud, Universidad ICESI, Cali, Valle, Colombia
- Department of Neurology, Global Brain Health Institute-University of California San Francisco, San Francisco, California, USA
| | - Luz M Zappa
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
- Departamento de Salud Mental, Hospital de Niños Ricardo Gutierrez, Buenos Aires, Buenos Aires, Argentina
- Hospital Universitario Austral, Materno Infantil, Buenos Aires, Buenos Aires, Argentina
| | - Raquel M Zepeda-Burgos
- Centro de Investigación en Ciencias y Humanidades, Universidad Dr. José Matías Delgado, Santa Tecla, La Libertad, El Salvador
| | - Anthony W Zoghbi
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
- Department of Psychiatry, New York State Psychiatric Institute, New York, New York, USA
| | - Euripedes C Miguel
- Departamento de Psiquiatria, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Carolyn I Rodriguez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
- Department of Psychiatry, Temerty Faculty of Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
| | | | - Pablo R Moya
- Universidad de Valparaíso, Instituto de Fisiología Valparaiso, Valparaiso, Chile
- Centro Interdisciplinario de Neurociencia de Valparaiso (CINV), Valparaiso, Chile
| | - Tania Borda
- Instituto Realize, Buenos Aires, Buenos Aires, Argentina
- Facultad de Psicología, Universidad Catolica Argentina, Buenos Aires, Buenos Aires, Argentina
| | - María Beatriz Moyano
- Centro Interdisciplinario de Tourette, TOC, TDAH y Trastornos Asociados (CITA), Buenos Aires, Buenos Aires, Argentina
- Asociación de Psiquiatras Argentinos (APSA), Buenos Aires, Buenos Aires, Argentina
- Asociación de Psiquiatras Argentinos (APSA), Presidente del Capítulo de Investigacion en Psiquiatria, Buenos Aires, Buenos Aires, Argentina
| | - Manuel Mattheisen
- Department of Community Health and Epidemiology & Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
- LMU Munich, Institute of Psychiatric Phenomics and Genomics (IPPG), Munich, Germany
| | - Stacey Pereira
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Gabriel Lázaro-Muñoz
- Center for Bioethics, Harvard University School of Medicine, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Michele T Pato
- Department of Psychiatry, Rutgers University-Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
| | - Humberto Nicolini
- Departamento de Psiquiatría, Ciudad de México, Grupo Médico Carracci, Ciudad de Mexico, Mexico
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Ciudad de México, Instituto Nacional de Medicina Genómica, Ciudad de Mexico, Mexico
| | - Eric A Storch
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
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Liu L, Wu Y, Li Y, Li M. A Polygenic Risk Analysis for Identifying Ulcerative Colitis Patients with European Ancestry. Genes (Basel) 2024; 15:684. [PMID: 38927620 PMCID: PMC11202467 DOI: 10.3390/genes15060684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/19/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024] Open
Abstract
The incidence of ulcerative colitis (UC) has increased globally. As a complex disease, the genetic predisposition for UC could be estimated by the polygenic risk score (PRS), which aggregates the effects of a large number of genetic variants in a single quantity and shows promise in identifying individuals at higher lifetime risk of UC. Here, based on a cohort of 2869 UC cases and 2900 controls with genotype array datasets, we used PRSice-2 to calculate PRS, and systematically analyzed factors that could affect the power of PRS, including GWAS summary statistics, population stratification, and impact of variants. After leveraging a stepwise condition analysis, we eventually established the best PRS model, achieving an AUC of 0.713. Meanwhile, samples in the top 20% of the PRS distribution had a risk of UC more than ten times higher than samples in the lowest 20% (OR = 10.435, 95% CI 8.571-12.703). Our analyses demonstrated that including population-enriched, more disease-associated SNPs and using GWAS summary statistics from similar ethnic background can improve the power of PRS. Strictly following the principle of focusing on one population in all aspects of generating PRS can be a cost-effective way to apply genotype-array-derived PRS to practical risk estimation.
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Affiliation(s)
- Ling Liu
- College of Chemistry, Sichuan University, Chengdu 610065, China
| | - Yiming Wu
- College of Life Science, China West Normal University, Nanchong 637009, China
| | - Yizhou Li
- College of Cyber Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Menglong Li
- College of Chemistry, Sichuan University, Chengdu 610065, China
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Martínez-Levy GA, Maya-Martínez M, García-Marín LM, Díaz-Torres S, Gómez LM, Benjet C, Rentería ME, Cruz-Fuentes CS, Rabinowitz JA. Associations of externalizing polygenic scores with externalizing disorders among Mexican youth. J Psychiatr Res 2024; 171:346-353. [PMID: 38354668 DOI: 10.1016/j.jpsychires.2024.01.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/21/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024]
Abstract
Several studies have examined the association of externalizing polygenic scores (PGS) with externalizing symptoms in samples of European ancestry. However, less is known about the associations of externalizing polygenic vulnerability in relation to phenotypic externalizing disorders among individuals of different ancestries, such as Mexican youth. Here, we leveraged the largest genome-wide association study on externalizing behaviors that included over 1 million individuals of European ancestry to examine associations of externalizing PGS with a range of externalizing disorders in Mexican adolescents, and investigated whether adversity exposure in childhood moderated these associations. Participants (N = 1064; age range 12-17 years old; 58.8% female) were adolescents recruited for a general population survey on adolescent mental health in the Mexico City Metropolitan region and were genotyped. Childhood adversity exposure and externalizing disorders, specifically attention-deficit hyperactivity disorder (ADHD), conduct disorder, oppositional defiant disorder, and substance use disorder, were assessed via the computer-assisted World Mental Health Composite International Diagnostic Interview for adolescents. A greater externalizing PGS was associated with a greater odds of any externalizing disorder (OR = 1.29 [1.12, 1.48]; p < 0.01) and ADHD (OR = 1.40 [1.15, 1.70]; p < 0.01) in the whole sample, and in females in particular. There were no main effects of the externalizing PGS on conduct disorder, oppositional defiant disorder, or substance use disorder, nor did adversity exposure moderate these associations. Our results suggest that greater genetic propensity for externalizing disorders is associated with increased odds of any externalizing disorders and ADHD among Mexican adolescents, furthering our understanding of externalizing disorder manifestation in this population.
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Affiliation(s)
- Gabriela A Martínez-Levy
- Departamento de Genética, Instituto Nacional de Psiquiatría "Ramón de la Fuente Muñíz", Ciudad de México, Mexico
| | - Mateo Maya-Martínez
- Licenciatura en Ciencias Genómicas, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Luis M García-Marín
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Santiago Díaz-Torres
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Lina M Gómez
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Corina Benjet
- Epidemiological and Psychosocial Research, Center for Global Mental Health, Instituto Nacional de Psiquiatria Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Miguel E Rentería
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Carlos S Cruz-Fuentes
- Departamento de Genética, Instituto Nacional de Psiquiatría "Ramón de la Fuente Muñíz", Ciudad de México, Mexico
| | - Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore MD 21205, USA.
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Cao C, Zhang S, Wang J, Tian M, Ji X, Huang D, Yang S, Gu N. PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods. Nucleic Acids Res 2024; 52:D963-D971. [PMID: 37953384 PMCID: PMC10767792 DOI: 10.1093/nar/gkad1029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/04/2023] [Accepted: 10/20/2023] [Indexed: 11/14/2023] Open
Abstract
Polygenic score (PGS) is an important tool for the genetic prediction of complex traits. However, there are currently no resources providing comprehensive PGSs computed from published summary statistics, and it is difficult to implement and run different PGS methods due to the complexity of their pipelines and parameter settings. To address these issues, we introduce a new resource called PGS-Depot containing the most comprehensive set of publicly available disease-related GWAS summary statistics. PGS-Depot includes 5585 high quality summary statistics (1933 quantitative and 3652 binary trait statistics) curated from 1564 traits in European and East Asian populations. A standardized best-practice pipeline is used to implement 11 summary statistics-based PGS methods, each with different model assumptions and estimation procedures. The prediction performance of each method can be compared for both in- and cross-ancestry populations, and users can also submit their own summary statistics to obtain custom PGS with the available methods. Other features include searching for PGSs by trait name, publication, cohort information, population, or the MeSH ontology tree and searching for trait descriptions with the experimental factor ontology (EFO). All scores, SNP effect sizes and summary statistics can be downloaded via FTP. PGS-Depot is freely available at http://www.pgsdepot.net.
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Affiliation(s)
- Chen Cao
- Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Shuting Zhang
- Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jianhua Wang
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300203, China
| | - Min Tian
- Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiaolong Ji
- Department of Biostatistics, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Dandan Huang
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300203, China
| | - Sheng Yang
- Department of Biostatistics, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ning Gu
- Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Medical School, Nanjing University, Nanjing, Jiangsu 210093, China
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Garrett ME, Soldano KL, Erwin KN, Zhang Y, Gordeuk VR, Gladwin MT, Telen MJ, Ashley-Koch AE. Genome-wide meta-analysis identifies new candidate genes for sickle cell disease nephropathy. Blood Adv 2023; 7:4782-4793. [PMID: 36399516 PMCID: PMC10469559 DOI: 10.1182/bloodadvances.2022007451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 10/11/2022] [Accepted: 10/29/2022] [Indexed: 11/19/2022] Open
Abstract
Sickle cell disease nephropathy (SCDN), a common SCD complication, is strongly associated with mortality. Polygenic risk scores calculated from recent transethnic meta-analyses of urinary albumin-to-creatinine ratio and estimated glomerular filtration rate (eGFR) trended toward association with proteinuria and eGFR in SCD but the model fit was poor (R2 < 0.01), suggesting that there are likely unique genetic risk factors for SCDN. Therefore, we performed genome-wide association studies (GWAS) for 2 critical manifestations of SCDN, proteinuria and decreased eGFR, in 2 well-characterized adult SCD cohorts, representing, to the best of our knowledge, the largest SCDN sample to date. Meta-analysis identified 6 genome-wide significant associations (false discovery rate, q ≤ 0.05): 3 for proteinuria (CRYL1, VWF, and ADAMTS7) and 3 for eGFR (LRP1B, linc02288, and FPGT-TNNI3K/TNNI3K). These associations are independent of APOL1 risk and represent novel SCDN loci, many with evidence for regulatory function. Moreover, GWAS SNPs in CRYL1, VWF, ADAMTS7, and linc02288 are associated with gene expression in kidney and pathways important to both renal function and SCD biology, supporting the hypothesis that SCDN pathophysiology is distinct from other forms of kidney disease. Together, these findings provide new targets for functional follow-up that could be tested prospectively and potentially used to identify patients with SCD who are at risk, before onset of kidney dysfunction.
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Affiliation(s)
- Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Karen L. Soldano
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Kyle N. Erwin
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Mark T. Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Marilyn J. Telen
- Division of Hematology, Department of Medicine, Duke University Medical Center, Durham, NC
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Lo Faro V, Johansson T, Höglund J, Hadizadeh F, Johansson Å. Polygenic risk scores and risk stratification in deep vein thrombosis. Thromb Res 2023; 228:151-162. [PMID: 37331118 DOI: 10.1016/j.thromres.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/18/2023] [Accepted: 06/09/2023] [Indexed: 06/20/2023]
Abstract
INTRODUCTION Deep vein thrombosis (DVT) is a complex disease, where 60 % of risk is due to genetic factors, such as the Factor V Leiden (FVL) variant. DVT is either asymptomatic or manifests with unspecific symptoms and, if left untreated, DVT leads to severe complications. The impact is dramatic and currently, there is still a research gap in DVT prevention. We characterized the genetic contribution and stratified individuals based on genetic makeup to evaluate if it favorably impacts risk prediction. METHODS In the UK Biobank (UKB), we performed gene-based association tests using exome sequencing data, as well as a genome-wide association study. We also constructed polygenic risk scores (PRS) in a subset of the cohort (Number of cases = 8231; Number of controls = 276,360) and calculated the impact on the prediction capacity of the PRS in a non-overlapping part of the cohort (Number of cases = 4342; Number of controls = 142,822). We generated additional PRSs that excluded the known causative variants. RESULTS We discovered and replicated a novel common variant (rs11604583) near the region where are located the TRIM51 and LRRC55 genes and identified a novel rare variant (rs187725533) located near the CREB3L1 gene, associated with 2.5-fold higher risk of DVT. In one of the PRS models constructed, the top decile of risk is associated with 3.4-fold increased risk, an effect that is 2.3-fold when excluding FVL carriers. In the top PRS decile, the cumulative risk of DVT at the age of 80 years is 10 % for FVL carriers, contraposed to 5 % for non-carriers. The population attributable fractions of having a high polygenic risk on the rate of DVT was estimated to be around 20 % in our cohort. CONCLUSION Individuals with a high polygenic risk of DVT, and not only carriers of well-studied variants such as FVL, may benefit from prevention strategies.
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Affiliation(s)
- Valeria Lo Faro
- Department of Immunology, Genetics and Pathology, Genomics and Neurobiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
| | - Therese Johansson
- Department of Immunology, Genetics and Pathology, Genomics and Neurobiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Centre for Women's Mental Health during the Reproductive Lifespan - Womher, Uppsala University, Uppsala, Sweden
| | - Julia Höglund
- Department of Immunology, Genetics and Pathology, Genomics and Neurobiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Fatemeh Hadizadeh
- Department of Immunology, Genetics and Pathology, Genomics and Neurobiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Genomics and Neurobiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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11
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Goris A, Vandebergh M, McCauley JL, Saarela J, Cotsapas C. Genetics of multiple sclerosis: lessons from polygenicity. Lancet Neurol 2022; 21:830-842. [PMID: 35963264 DOI: 10.1016/s1474-4422(22)00255-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 11/27/2022]
Abstract
Large-scale mapping studies have identified 236 independent genetic variants associated with an increased risk of multiple sclerosis. However, none of these variants are found exclusively in patients with multiple sclerosis. They are located throughout the genome, including 32 independent variants in the MHC and one on the X chromosome. Most variants are non-coding and seem to act through cell-specific effects on gene expression and splicing. The likely functions of these variants implicate both adaptive and innate immune cells in the pathogenesis of multiple sclerosis, provide pivotal biological insight into the causes and mechanisms of multiple sclerosis, and some of the variants implicated in multiple sclerosis also mediate risk of other autoimmune and inflammatory diseases. Genetics offers an approach to showing causality for environmental factors, through Mendelian randomisation. No single variant is necessary or sufficient to cause multiple sclerosis; instead, each increases total risk in an additive manner. This combined contribution from many genetic factors to disease risk, or polygenicity, has important consequences for how we interpret the epidemiology of multiple sclerosis and how we counsel patients on risk and prognosis. Ongoing efforts are focused on increasing cohort sizes, increasing diversity and detailed characterisation of study populations, and translating these associations into an understanding of the biology of multiple sclerosis.
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Affiliation(s)
- An Goris
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Laboratory for Neuroimmunology, Leuven, Belgium.
| | - Marijne Vandebergh
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Laboratory for Neuroimmunology, Leuven, Belgium
| | - Jacob L McCauley
- John P Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Janna Saarela
- Centre for Molecular Medicine Norway, University of Oslo, Oslo, Norway; Institute for Molecular Medicine Finland and Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Chris Cotsapas
- Departments of Neurology and Genetics, Yale School of Medicine, New Haven, CT, USA
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12
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Widmayer SJ, Evans KS, Zdraljevic S, Andersen EC. Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans. G3 (BETHESDA, MD.) 2022; 12:jkac114. [PMID: 35536194 PMCID: PMC9258552 DOI: 10.1093/g3journal/jkac114] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/02/2022] [Indexed: 11/30/2022]
Abstract
Quantitative genetics in Caenorhabditis elegans seeks to identify naturally segregating genetic variants that underlie complex traits. Genome-wide association studies scan the genome for individual genetic variants that are significantly correlated with phenotypic variation in a population, or quantitative trait loci. Genome-wide association studies are a popular choice for quantitative genetic analyses because the quantitative trait loci that are discovered segregate in natural populations. Despite numerous successful mapping experiments, the empirical performance of genome-wide association study has not, to date, been formally evaluated in C. elegans. We developed an open-source genome-wide association study pipeline called NemaScan and used a simulation-based approach to provide benchmarks of mapping performance in collections of wild C. elegans strains. Simulated trait heritability and complexity determined the spectrum of quantitative trait loci detected by genome-wide association studies. Power to detect smaller-effect quantitative trait loci increased with the number of strains sampled from the C. elegans Natural Diversity Resource. Population structure was a major driver of variation in mapping performance, with populations shaped by recent selection exhibiting significantly lower false discovery rates than populations composed of more divergent strains. We also recapitulated previous genome-wide association studies of experimentally validated quantitative trait variants. Our simulation-based evaluation of performance provides the community with critical context to pursue quantitative genetic studies using the C. elegans Natural Diversity Resource to elucidate the genetic basis of complex traits in C. elegans natural populations.
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Affiliation(s)
- Samuel J Widmayer
- Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Kathryn S Evans
- Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Stefan Zdraljevic
- Department of Biological Chemistry, University of California—Los Angeles, Los Angeles, CA 90095, USA
| | - Erik C Andersen
- Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
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13
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Choudhury A, Brandenburg JT, Chikowore T, Sengupta D, Boua PR, Crowther NJ, Agongo G, Asiki G, Gómez-Olivé FX, Kisiangani I, Maimela E, Masemola-Maphutha M, Micklesfield LK, Nonterah EA, Norris SA, Sorgho H, Tinto H, Tollman S, Graham SE, Willer CJ, Hazelhurst S, Ramsay M. Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits. Nat Commun 2022; 13:2578. [PMID: 35546142 PMCID: PMC9095599 DOI: 10.1038/s41467-022-30098-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 04/18/2022] [Indexed: 12/30/2022] Open
Abstract
Genetic associations for lipid traits have identified hundreds of variants with clear differences across European, Asian and African studies. Based on a sub-Saharan-African GWAS for lipid traits in the population cross-sectional AWI-Gen cohort (N = 10,603) we report a novel LDL-C association in the GATB region (P-value=1.56 × 10−8). Meta-analysis with four other African cohorts (N = 23,718) provides supporting evidence for the LDL-C association with the GATB/FHIP1A region and identifies a novel triglyceride association signal close to the FHIT gene (P-value =2.66 × 10−8). Our data enable fine-mapping of several well-known lipid-trait loci including LDLR, PMFBP1 and LPA. The transferability of signals detected in two large global studies (GLGC and PAGE) consistently improves with an increase in the size of the African replication cohort. Polygenic risk score analysis shows increased predictive accuracy for LDL-C levels with the narrowing of genetic distance between the discovery dataset and our cohort. Novel discovery is enhanced with the inclusion of African data. Genetic associations and polygenic scores for lipid traits have low transferability to African individuals. Here, the authors perform a large sub-Sarahan African lipid GWAS and find that larger datasets and better global representation in discovery GWAS help to bridge this gap.
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Affiliation(s)
- Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Tinashe Chikowore
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,South African Medical Research Council/University of the Witwatersrand Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Dhriti Sengupta
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Palwende Romuald Boua
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santè, Nanoro, Burkina Faso
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Godfred Agongo
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.,C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
| | - Gershim Asiki
- African Population and Health Research Center, Nairobi, Kenya
| | - F Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Eric Maimela
- Department of Public Health, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa
| | - Matshane Masemola-Maphutha
- Department of Pathology and Medical Sciences, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa
| | - Lisa K Micklesfield
- South African Medical Research Council/University of the Witwatersrand Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Shane A Norris
- South African Medical Research Council/University of the Witwatersrand Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santè, Nanoro, Burkina Faso
| | - Halidou Tinto
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santè, Nanoro, Burkina Faso
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sarah E Graham
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.,Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48019, USA
| | | | | | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. .,Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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14
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Baumdicker F, Bisschop G, Goldstein D, Gower G, Ragsdale AP, Tsambos G, Zhu S, Eldon B, Ellerman EC, Galloway JG, Gladstein AL, Gorjanc G, Guo B, Jeffery B, Kretzschumar WW, Lohse K, Matschiner M, Nelson D, Pope NS, Quinto-Cortés CD, Rodrigues MF, Saunack K, Sellinger T, Thornton K, van Kemenade H, Wohns AW, Wong Y, Gravel S, Kern AD, Koskela J, Ralph PL, Kelleher J. Efficient ancestry and mutation simulation with msprime 1.0. Genetics 2022; 220:iyab229. [PMID: 34897427 PMCID: PMC9176297 DOI: 10.1093/genetics/iyab229] [Citation(s) in RCA: 104] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/03/2021] [Indexed: 11/13/2022] Open
Abstract
Stochastic simulation is a key tool in population genetics, since the models involved are often analytically intractable and simulation is usually the only way of obtaining ground-truth data to evaluate inferences. Because of this, a large number of specialized simulation programs have been developed, each filling a particular niche, but with largely overlapping functionality and a substantial duplication of effort. Here, we introduce msprime version 1.0, which efficiently implements ancestry and mutation simulations based on the succinct tree sequence data structure and the tskit library. We summarize msprime's many features, and show that its performance is excellent, often many times faster and more memory efficient than specialized alternatives. These high-performance features have been thoroughly tested and validated, and built using a collaborative, open source development model, which reduces duplication of effort and promotes software quality via community engagement.
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Affiliation(s)
- Franz Baumdicker
- Cluster of Excellence “Controlling Microbes to Fight Infections”, Mathematical and Computational Population Genetics, University of Tübingen, 72076 Tübingen, Germany
| | - Gertjan Bisschop
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh EH9 3FL, UK
| | - Daniel Goldstein
- Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Graham Gower
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, 1350 Copenhagen K, Denmark
| | - Aaron P Ragsdale
- Department of Integrative Biology, University of Wisconsin–Madison, Madison, WI 53706, USA
| | - Georgia Tsambos
- Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010, Australia
| | - Sha Zhu
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
| | - Bjarki Eldon
- Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin 10115, Germany
| | | | - Jared G Galloway
- Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
- Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA
| | - Ariella L Gladstein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7264, USA
- Embark Veterinary, Inc., Boston, MA 02111, USA
| | - Gregor Gorjanc
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Bing Guo
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ben Jeffery
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
| | - Warren W Kretzschumar
- Center for Hematology and Regenerative Medicine, Karolinska Institute, 141 83 Huddinge, Sweden
| | - Konrad Lohse
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh EH9 3FL, UK
| | | | - Dominic Nelson
- Department of Human Genetics, McGill University, Montréal, QC H3A 0C7, Canada
| | - Nathaniel S Pope
- Department of Entomology, Pennsylvania State University, State College, PA 16802, USA
| | - Consuelo D Quinto-Cortés
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Unit of Advanced Genomics, CINVESTAV, Irapuato, Mexico
| | - Murillo F Rodrigues
- Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
| | | | - Thibaut Sellinger
- Professorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, 85354 Freising, Germany
| | - Kevin Thornton
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA
| | | | - Anthony W Wohns
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yan Wong
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
| | - Simon Gravel
- Department of Human Genetics, McGill University, Montréal, QC H3A 0C7, Canada
| | - Andrew D Kern
- Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
| | - Jere Koskela
- Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Peter L Ralph
- Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
- Department of Mathematics, University of Oregon, Eugene, OR 97403-5289, USA
| | - Jerome Kelleher
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
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15
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Barnekow E, Liu W, Helgadottir HT, Michailidou K, Dennis J, Bryant P, Thutkawkorapin J, Wendt C, Czene K, Hall P, Margolin S, Lindblom A. A Swedish Genome-Wide Haplotype Association Analysis Identifies a Novel Breast Cancer Susceptibility Locus in 8p21.2 and Characterizes Three Loci on Chromosomes 10, 11 and 16. Cancers (Basel) 2022; 14:cancers14051206. [PMID: 35267517 PMCID: PMC8909613 DOI: 10.3390/cancers14051206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/17/2022] [Accepted: 02/24/2022] [Indexed: 02/04/2023] Open
Abstract
(1) Background: The heritability of breast cancer is partly explained but much of the genetic contribution remains to be identified. Haplotypes are often used as markers of ethnicity as they are preserved through generations. We have previously demonstrated that haplotype analysis, in addition to standard SNP association studies, could give novel and more detailed information on genetic cancer susceptibility. (2) Methods: In order to examine the association of a SNP or a haplotype to breast cancer risk, we performed a genome wide haplotype association study, using sliding window analysis of window sizes 1−25 and 50 SNPs, in 3200 Swedish breast cancer cases and 5021 controls. (3) Results: We identified a novel breast cancer susceptibility locus in 8p21.1 (OR 2.08; p 3.92 × 10−8), confirmed three known loci in 10q26.13, 11q13.3, 16q12.1-2 and further identified novel subloci within these three loci. Altogether 76 risk SNPs, 3302 risk haplotypes of window size 2−25 and 113 risk haplotypes of window size 50 at p < 5 × 10−8 on chromosomes 8, 10, 11 and 16 were identified. In the known loci haplotype analysis reached an OR of 1.48 in overall breast cancer and in familial cases OR 1.68. (4) Conclusions: Analyzing haplotypes, rather than single variants, could detect novel susceptibility loci even in small study populations but the method requires a fairly homogenous study population.
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Affiliation(s)
- Elin Barnekow
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 11883 Stockholm, Sweden; (C.W.); (S.M.)
- Department of Oncology, Södersjukhuset, 11883 Stockholm, Sweden;
- Correspondence: (E.B.); (A.L.); Tel.: +46-736-565-798 (E.B.); +46-852-485-248 (A.L.)
| | - Wen Liu
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden; (W.L.); (H.T.H.); (P.B.); (J.T.)
- Department of Neuroscience, Uppsala University, 75237 Uppsala, Sweden
| | - Hafdis T. Helgadottir
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden; (W.L.); (H.T.H.); (P.B.); (J.T.)
- Department of Clinical Genetics, Karolinska University Hospital, 17164 Stockholm, Sweden
| | - Kyriaki Michailidou
- The Cyprus Institute of Neurology & Genetics, Cyprus School of Molecular Medicine, 1683 Nicosia, Cyprus;
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB18RN, UK;
| | - Patrick Bryant
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden; (W.L.); (H.T.H.); (P.B.); (J.T.)
- Department of Biochemistry and Biophysics, Stockholm University, 17165 Stockholm, Sweden
- Science for Life Laboratory, 17165 Stockholm, Sweden
| | - Jessada Thutkawkorapin
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden; (W.L.); (H.T.H.); (P.B.); (J.T.)
- Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 11883 Stockholm, Sweden; (C.W.); (S.M.)
- Department of Oncology, Södersjukhuset, 11883 Stockholm, Sweden;
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17165 Stockholm, Sweden;
| | - Per Hall
- Department of Oncology, Södersjukhuset, 11883 Stockholm, Sweden;
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17165 Stockholm, Sweden;
| | - Sara Margolin
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 11883 Stockholm, Sweden; (C.W.); (S.M.)
- Department of Oncology, Södersjukhuset, 11883 Stockholm, Sweden;
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden; (W.L.); (H.T.H.); (P.B.); (J.T.)
- Department of Clinical Genetics, Karolinska University Hospital, 17164 Stockholm, Sweden
- Correspondence: (E.B.); (A.L.); Tel.: +46-736-565-798 (E.B.); +46-852-485-248 (A.L.)
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16
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Jiménez-Kaufmann A, Chong AY, Cortés A, Quinto-Cortés CD, Fernandez-Valverde SL, Ferreyra-Reyes L, Cruz-Hervert LP, Medina-Muñoz SG, Sohail M, Palma-Martinez MJ, Delgado-Sánchez G, Mongua-Rodríguez N, Mentzer AJ, Hill AVS, Moreno-Macías H, Huerta-Chagoya A, Aguilar-Salinas CA, Torres M, Kim HL, Kalsi N, Schuster SC, Tusié-Luna T, Del-Vecchyo DO, García-García L, Moreno-Estrada A. Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes. Front Genet 2022; 12:719791. [PMID: 35046991 PMCID: PMC8762266 DOI: 10.3389/fgene.2021.719791] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Current Genome-Wide Association Studies (GWAS) rely on genotype imputation to increase statistical power, improve fine-mapping of association signals, and facilitate meta-analyses. Due to the complex demographic history of Latin America and the lack of balanced representation of Native American genomes in current imputation panels, the discovery of locally relevant disease variants is likely to be missed, limiting the scope and impact of biomedical research in these populations. Therefore, the necessity of better diversity representation in genomic databases is a scientific imperative. Here, we expand the 1,000 Genomes reference panel (1KGP) with 134 Native American genomes (1KGP + NAT) to assess imputation performance in Latin American individuals of mixed ancestry. Our panel increased the number of SNPs above the GWAS quality threshold, thus improving statistical power for association studies in the region. It also increased imputation accuracy, particularly in low-frequency variants segregating in Native American ancestry tracts. The improvement is subtle but consistent across countries and proportional to the number of genomes added from local source populations. To project the potential improvement with a higher number of reference genomes, we performed simulations and found that at least 3,000 Native American genomes are needed to equal the imputation performance of variants in European ancestry tracts. This reflects the concerning imbalance of diversity in current references and highlights the contribution of our work to reducing it while complementing efforts to improve global equity in genomic research.
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Affiliation(s)
- Andrés Jiménez-Kaufmann
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Amanda Y Chong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Adrián Cortés
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Consuelo D Quinto-Cortés
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Selene L Fernandez-Valverde
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | | | | | - Santiago G Medina-Muñoz
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Mashaal Sohail
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico.,Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - María J Palma-Martinez
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | | | | | - Alexander J Mentzer
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Adrian V S Hill
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.,Nuffield Department of Medicine, The Jenner Institute, University of Oxford, Oxford, United Kingdom
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.,Departamento de Economía, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Alicia Huerta-Chagoya
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Unidad de Investigación de Enfermedades Metabólicas, Mexico City, Mexico.,Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico
| | - Michael Torres
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
| | - Hie Lim Kim
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore.,School of Biological Science, Nanyang Technological University, Singapore
| | - Namrata Kalsi
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore
| | - Stephan C Schuster
- Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University, Singapore.,GenomeAsia 100K (GA100K) Consortium, Singapore.,School of Biological Science, Nanyang Technological University, Singapore
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico.,Instituto de Investigaciones Biomédicas de la UNAM, Mexico City, Mexico
| | - Diego Ortega Del-Vecchyo
- Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), UNAM, Juriquilla, Mexico
| | | | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), Unidad de Genómica Avanzada, Irapuato, Mexico
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17
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Genotype imputation and polygenic score estimation in northwestern Russian population. PLoS One 2022; 17:e0269434. [PMID: 35763490 PMCID: PMC9239469 DOI: 10.1371/journal.pone.0269434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 05/21/2022] [Indexed: 11/19/2022] Open
Abstract
Numerous studies demonstrated the lack of transferability of polygenic score (PGS) models across populations and the problem arising from unequal presentation of ancestries across genetic studies. However, even within European ancestry there are ethnic groups that are rarely presented in genetic studies. For instance, Russians, being one of the largest, diverse, and yet understudied group in Europe. In this study, we evaluated the reliability of genotype imputation for the Russian cohort by testing several commonly used imputation reference panels (e.g. HRC, 1000G, HGDP). HRC, in comparison with two other panels, showed the most accurate results based on both imputation accuracy and allele frequency concordance between masked and imputed genotypes. We built polygenic score models based on GWAS results from the UK biobank, measured the explained phenotypic variance in the Russian cohort attributed to polygenic scores for 11 phenotypes, collected in the clinic for each participant, and finally explored the role of allele frequency discordance between the UK biobank and the study cohort in the resulting PGS performance.
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18
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Barroso I. The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits. Diabetologia 2021; 64:2653-2664. [PMID: 34595549 PMCID: PMC8563561 DOI: 10.1007/s00125-021-05575-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 07/07/2021] [Indexed: 12/11/2022]
Abstract
Type 2 diabetes has a global prevalence, with epidemiological data suggesting that some populations have a higher risk of developing this disease. However, to date, most genetic studies of type 2 diabetes and related glycaemic traits have been performed in individuals of European ancestry. The same is true for most other complex diseases, largely due to use of 'convenience samples'. Rapid genotyping of large population cohorts and case-control studies from existing collections was performed when the genome-wide association study (GWAS) 'revolution' began, back in 2005. Although global representation has increased in the intervening 15 years, further expansion and inclusion of diverse populations in genetic and genomic studies is still needed. In this review, I discuss the progress made in incorporating multi-ancestry participants in genetic analyses of type 2 diabetes and related glycaemic traits, and associated opportunities and challenges. I also discuss how increased representation of global diversity in genetic and genomic studies is required to fulfil the promise of precision medicine for all.
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Affiliation(s)
- Inês Barroso
- Exeter Centre of Excellence for Diabetes research (EXCEED), University of Exeter Medical School, Exeter, UK.
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Heilbron K, Mozaffari SV, Vacic V, Yue P, Wang W, Shi J, Jubb AM, Pitts SJ, Wang X. Advancing drug discovery using the power of the human genome. J Pathol 2021; 254:418-429. [PMID: 33748968 PMCID: PMC8251523 DOI: 10.1002/path.5664] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 03/11/2021] [Accepted: 03/16/2021] [Indexed: 12/31/2022]
Abstract
Human genetics plays an increasingly important role in drug development and population health. Here we review the history of human genetics in the context of accelerating the discovery of therapies, present examples of how human genetics evidence supports successful drug targets, and discuss how polygenic risk scores could be beneficial in various clinical settings. We highlight the value of direct-to-consumer platforms in the era of fast-paced big data biotechnology, and how diverse genetic and health data can benefit society. © 2021 23andMe, Inc. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
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Abstract
The selection pressures that have shaped the evolution of complex traits in humans remain largely unknown, and in some contexts highly contentious, perhaps above all where they concern mean trait differences among groups. To date, the discussion has focused on whether such group differences have any genetic basis, and if so, whether they are without fitness consequences and arose via random genetic drift, or whether they were driven by selection for different trait optima in different environments. Here, we highlight a plausible alternative: that many complex traits evolve under stabilizing selection in the face of shifting environmental effects. Under this scenario, there will be rapid evolution at the loci that contribute to trait variation, even when the trait optimum remains the same. These considerations underscore the strong assumptions about environmental effects that are required in ascribing trait differences among groups to genetic differences.
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Affiliation(s)
- Arbel Harpak
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
| | - Molly Przeworski
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
- Department of Systems Biology, Columbia University, New York, New York, United States of America
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