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Cirulli ET, Schiabor Barrett KM, Bolze A, Judge DP, Pawloski PA, Grzymski JJ, Lee W, Washington NL. A power-based sliding window approach to evaluate the clinical impact of rare genetic variants in the nucleotide sequence or the spatial position of the folded protein. HGG Adv 2024; 5:100284. [PMID: 38509709 PMCID: PMC11004801 DOI: 10.1016/j.xhgg.2024.100284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 03/22/2024] Open
Abstract
Systematic determination of novel variant pathogenicity remains a major challenge, even when there is an established association between a gene and phenotype. Here we present Power Window (PW), a sliding window technique that identifies the impactful regions of a gene using population-scale clinico-genomic datasets. By sizing analysis windows on the number of variant carriers, rather than the number of variants or nucleotides, statistical power is held constant, enabling the localization of clinical phenotypes and removal of unassociated gene regions. The windows can be built by sliding across either the nucleotide sequence of the gene (through 1D space) or the positions of the amino acids in the folded protein (through 3D space). Using a training set of 350k exomes from the UK Biobank (UKB), we developed PW models for well-established gene-disease associations and tested their accuracy in two independent cohorts (117k UKB exomes and 65k exomes sequenced at Helix in the Healthy Nevada Project, myGenetics, or In Our DNA SC studies). The significant models retained a median of 49% of the qualifying variant carriers in each gene (range 2%-98%), with quantitative traits showing a median effect size improvement of 66% compared with aggregating variants across the entire gene, and binary traits' odds ratios improving by a median of 2.2-fold. PW showcases that electronic health record-based statistical analyses can accurately distinguish between novel coding variants in established genes that will have high phenotypic penetrance and those that will not, unlocking new potential for human genomics research, drug development, variant interpretation, and precision medicine.
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Affiliation(s)
| | | | - Alexandre Bolze
- Helix, 101 S Ellsworth Ave Suite 350, San Mateo, CA 94401, USA
| | - Daniel P Judge
- Division of Cardiology, Medical University of South Carolina, 30 Courtenay Drive, MSC 592, Charleston, SC 29425, USA
| | | | - Joseph J Grzymski
- University of Nevada, 2215 Raggio Pkwy, Reno, NV 89512, USA; Renown Institute for Health Innovation, Reno, NV 89512, USA
| | - William Lee
- Helix, 101 S Ellsworth Ave Suite 350, San Mateo, CA 94401, USA
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2
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Levy ME, Burrows E, Chilunda V, Pawloski PA, Heaton PR, Grzymski J, Goldman JD, McEwen LM, Wyman D, Dei Rossi A, Dai H, Isaksson M, Washington NL, Basler T, Tsan K, Nguyen J, Ramirez J, Sandoval E, Lee W, Lu J, Luo S. SARS-CoV-2 Antiviral Prescribing Gaps Among Non-Hospitalized High-Risk Adults. Clin Infect Dis 2024:ciad796. [PMID: 38170452 DOI: 10.1093/cid/ciad796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/07/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
Within a multi-state clinical cohort, SARS-CoV-2 antiviral prescribing patterns were evaluated from April 2022-June 2023 among non-hospitalized SARS-CoV-2-infected patients with risk factors for severe COVID-19. Among 3,247 adults, only 31.9% were prescribed an antiviral agent (87.6% nirmatrelvir/ritonavir, 11.9% molnupiravir, 0.5% remdesivir), highlighting the need to identify and address treatment barriers.
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Affiliation(s)
| | | | | | | | - Phillip R Heaton
- Department of Pathology and Laboratory Medicine, HealthPartners, Bloomington, Minnesota, USA
| | - Joseph Grzymski
- Department of Internal Medicine, University of Nevada Reno, School of Medicine, Reno, Nevada, USA
- Renown Health, Reno, Nevada, USA
| | - Jason D Goldman
- Providence St. Joseph Health System, Renton, Washington, USA
- Swedish Center for Research and Innovation, Swedish Medical Center, Seattle, Washington, USA
- Division of Infectious Disease, University of Washington, Seattle, Washington, USA
| | | | | | | | - Hang Dai
- Helix, San Mateo, California, USA
| | | | | | | | | | | | | | | | | | - James Lu
- Helix, San Mateo, California, USA
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3
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Matteson NL, Hassler GW, Kurzban E, Schwab MA, Perkins SA, Gangavarapu K, Levy JI, Parker E, Pride D, Hakim A, De Hoff P, Cheung W, Castro-Martinez A, Rivera A, Veder A, Rivera A, Wauer C, Holmes J, Wilson J, Ngo SN, Plascencia A, Lawrence ES, Smoot EW, Eisner ER, Tsai R, Chacón M, Baer NA, Seaver P, Salido RA, Aigner S, Ngo TT, Barber T, Ostrander T, Fielding-Miller R, Simmons EH, Zazueta OE, Serafin-Higuera I, Sanchez-Alavez M, Moreno-Camacho JL, García-Gil A, Murphy Schafer AR, McDonald E, Corrigan J, Malone JD, Stous S, Shah S, Moshiri N, Weiss A, Anderson C, Aceves CM, Spencer EG, Hufbauer EC, Lee JJ, King AJ, Ramesh KS, Nguyen KN, Saucedo K, Robles-Sikisaka R, Fisch KM, Gonias SL, Birmingham A, McDonald D, Karthikeyan S, Martin NK, Schooley RT, Negrete AJ, Reyna HJ, Chavez JR, Garcia ML, Cornejo-Bravo JM, Becker D, Isaksson M, Washington NL, Lee W, Garfein RS, Luna-Ruiz Esparza MA, Alcántar-Fernández J, Henson B, Jepsen K, Olivares-Flores B, Barrera-Badillo G, Lopez-Martínez I, Ramírez-González JE, Flores-León R, Kingsmore SF, Sanders A, Pradenas A, White B, Matthews G, Hale M, McLawhon RW, Reed SL, Winbush T, McHardy IH, Fielding RA, Nicholson L, Quigley MM, Harding A, Mendoza A, Bakhtar O, Browne SH, Olivas Flores J, Rincon Rodríguez DG, Gonzalez Ibarra M, Robles Ibarra LC, Arellano Vera BJ, Gonzalez Garcia J, Harvey-Vera A, Knight R, Laurent LC, Yeo GW, Wertheim JO, Ji X, Worobey M, Suchard MA, Andersen KG, Campos-Romero A, Wohl S, Zeller M. Genomic surveillance reveals dynamic shifts in the connectivity of COVID-19 epidemics. Cell 2023; 186:5690-5704.e20. [PMID: 38101407 PMCID: PMC10795731 DOI: 10.1016/j.cell.2023.11.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 08/21/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Abstract
The maturation of genomic surveillance in the past decade has enabled tracking of the emergence and spread of epidemics at an unprecedented level. During the COVID-19 pandemic, for example, genomic data revealed that local epidemics varied considerably in the frequency of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage importation and persistence, likely due to a combination of COVID-19 restrictions and changing connectivity. Here, we show that local COVID-19 epidemics are driven by regional transmission, including across international boundaries, but can become increasingly connected to distant locations following the relaxation of public health interventions. By integrating genomic, mobility, and epidemiological data, we find abundant transmission occurring between both adjacent and distant locations, supported by dynamic mobility patterns. We find that changing connectivity significantly influences local COVID-19 incidence. Our findings demonstrate a complex meaning of "local" when investigating connected epidemics and emphasize the importance of collaborative interventions for pandemic prevention and mitigation.
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Affiliation(s)
| | - Gabriel W Hassler
- Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA; Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - David Pride
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA; Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Anelizze Castro-Martinez
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; Sanford Consortium of Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Andrea Rivera
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Anthony Veder
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Ariana Rivera
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Cassandra Wauer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Jacqueline Holmes
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Jedediah Wilson
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Shayla N Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Rebecca Tsai
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA; Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA
| | | | - Oscar E Zazueta
- Department of Epidemiology, Secretaria de Salud de Baja California, Tijuana, Baja California, Mexico
| | | | - Manuel Sanchez-Alavez
- Centro de Diagnostico COVID-19 UABC, Tijuana, Baja California, Mexico; Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | | | - Abraham García-Gil
- Clinical Laboratory Department, Salud Digna, A.C, Tijuana, Baja California, Mexico
| | | | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Jeremy Corrigan
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Alana Weiss
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Emily G Spencer
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Emory C Hufbauer
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Justin J Lee
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Alison J King
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Kelly N Nguyen
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Kieran Saucedo
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | | | - Kathleen M Fisch
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Smruthi Karthikeyan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Robert T Schooley
- Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Agustin J Negrete
- Facultad de Ciencias de la Salud Universidad Autonoma de Baja California Valle de Las Palmas, Tijuana, Baja California, Mexico
| | - Horacio J Reyna
- Facultad de Ciencias de la Salud Universidad Autonoma de Baja California Valle de Las Palmas, Tijuana, Baja California, Mexico
| | - Jose R Chavez
- Facultad de Ciencias de la Salud Universidad Autonoma de Baja California Valle de Las Palmas, Tijuana, Baja California, Mexico
| | - Maria L Garcia
- Facultad de Ciencias de la Salud Universidad Autonoma de Baja California Valle de Las Palmas, Tijuana, Baja California, Mexico
| | - Jose M Cornejo-Bravo
- Facultad de Ciencias Quimicas e Ingenieria, Universidad Autonoma de Baja California, Tijuana, Baja California, Mexico
| | | | | | | | | | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Benjamin Henson
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Beatriz Olivares-Flores
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, CDMX, Mexico
| | - Gisela Barrera-Badillo
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, CDMX, Mexico
| | - Irma Lopez-Martínez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, CDMX, Mexico
| | - José E Ramírez-González
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, CDMX, Mexico
| | - Rita Flores-León
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE), Ciudad de México, CDMX, Mexico
| | | | - Alison Sanders
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Sharon L Reed
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California, San Diego, La Jolla, CA, USA
| | | | | | | | | | | | | | | | - Sara H Browne
- Division of Infectious Disease and Global Public Health, University of California, San Diego, La Jolla, CA, USA; Specialist in Global Health, Encinitas, CA, USA
| | - Jocelyn Olivas Flores
- Facultad de Ciencias Quimicas e Ingenieria, Universidad Autonoma de Baja California, Tijuana, Baja California, Mexico; University of HealthMx, Tijuana, Baja California, Mexico
| | - Diana G Rincon Rodríguez
- University of HealthMx, Tijuana, Baja California, Mexico; Facultad de Medicina, Universidad Xochicalco, Tijuana, Baja California, Mexico
| | - Martin Gonzalez Ibarra
- University of HealthMx, Tijuana, Baja California, Mexico; Facultad de Medicina, Universidad Xochicalco, Tijuana, Baja California, Mexico
| | - Luis C Robles Ibarra
- University of HealthMx, Tijuana, Baja California, Mexico; Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Tijuana, Baja California, Mexico
| | - Betsy J Arellano Vera
- University of HealthMx, Tijuana, Baja California, Mexico; Instituto Mexicano del Seguro Social, Tijuana, Baja California, Mexico
| | - Jonathan Gonzalez Garcia
- University of HealthMx, Tijuana, Baja California, Mexico; SIMNSA, Tijuana, Baja California, Mexico
| | | | - Rob Knight
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, USA; Sanford Consortium of Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Sanford Consortium of Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA; Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Joel O Wertheim
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Xiang Ji
- Department of Mathematics, School of Science and Engineering, Tulane University, New Orleans, LA, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Marc A Suchard
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA.
| | - Abraham Campos-Romero
- Innovation and Research Department, Salud Digna, A.C, Tijuana, Baja California, Mexico
| | - Shirlee Wohl
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA.
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Schiabor Barrett KM, Cirulli ET, Bolze A, Rowan C, Elhanan G, Grzymski JJ, Lee W, Washington NL. Cardiomyopathy prevalence exceeds 30% in individuals with TTN variants and early atrial fibrillation. Genet Med 2023; 25:100012. [PMID: 36637017 DOI: 10.1016/j.gim.2023.100012] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 01/11/2023] Open
Abstract
PURPOSE TTN truncating variants (TTNtvs) represent the largest known genetic cause of dilated cardiomyopathies (DCMs), however their penetrance for DCM in general populations is low. More broadly, patients with cardiomyopathies (CMs) often exhibit other cardiac conditions, such as atrial fibrillation (Afib), which has also been linked to TTNtvs. This retrospective analysis aims to characterize the relationship between different cardiac conditions in those with TTNtvs and identify individuals with the highest risk of DCM. METHODS In this work we leverage longitudinal electronic health record and exome sequencing data from approximately 450,000 individuals in 2 health systems to statistically confirm and pinpoint the genetic footprint of TTNtv-related diagnoses aside from CM, such as Afib, and determine whether vetting additional significantly associated phenotypes better stratifies CM risk across those with TTNtvs. We focused on TTNtvs in exons with a percentage spliced in >90% (hiPSI TTNtvs), a representation of constitutive cardiac expression. RESULTS When controlling for CM and Afib, other cardiac conditions retained only nominal association with TTNtvs. A sliding window analysis of TTNtvs across the locus confirms that the association is specific to hiPSI exons for both CM and Afib, with no meaningful associations in percent spliced in ≤90% exons (loPSI TTNtvs). The combination of hiPSI TTNtv status and early Afib diagnosis (before age 60) found a subset of TTNtv individuals at high risk for CM. The prevalence of CM in this subset was 33%, a rate that was 3.5 fold higher than that in individuals with hiPSI TTNtvs (9% prevalence), 5-fold higher than that in individuals without TTNtvs with early Afib (6% prevalence), and 80-fold higher than that in the general population. CONCLUSION Our retrospective analyses revealed that those with hiPSI TTNtvs and early Afib (∼1/2900) have a high prevalence of CM (33%), far exceeding that in other individuals with TTNtvs and in those without TTNtvs with an early Afib diagnosis. These results show that combining phenotypic information along with genomic population screening can identify patients at higher risk for progressing to symptomatic heart failure.
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Affiliation(s)
| | | | | | - Chris Rowan
- Renown Health, Reno, NV; University of Nevada, School of Medicine, Reno, NV
| | - Gai Elhanan
- Renown Health, Reno, NV; Center for Genomic Medicine, Desert Research Institute, Reno, NV
| | - Joseph J Grzymski
- Renown Health, Reno, NV; Center for Genomic Medicine, Desert Research Institute, Reno, NV
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5
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Bolze A, Basler T, White S, Dei Rossi A, Wyman D, Dai H, Roychoudhury P, Greninger AL, Hayashibara K, Beatty M, Shah S, Stous S, McCrone JT, Kil E, Cassens T, Tsan K, Nguyen J, Ramirez J, Carter S, Cirulli ET, Schiabor Barrett K, Washington NL, Belda-Ferre P, Jacobs S, Sandoval E, Becker D, Lu JT, Isaksson M, Lee W, Luo S. Evidence for SARS-CoV-2 Delta and Omicron co-infections and recombination. Med (N Y) 2022; 3:848-859.e4. [PMID: 36332633 PMCID: PMC9581791 DOI: 10.1016/j.medj.2022.10.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/14/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Between November 2021 and February 2022, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta and Omicron variants co-circulated in the United States, allowing for co-infections and possible recombination events. METHODS We sequenced 29,719 positive samples during this period and analyzed the presence and fraction of reads supporting mutations specific to either the Delta or Omicron variant. FINDINGS We identified 18 co-infections, one of which displayed evidence of a low Delta-Omicron recombinant viral population. We also identified two independent cases of infection by a Delta-Omicron recombinant virus, where 100% of the viral RNA came from one clonal recombinant. In the three cases, the 5' end of the viral genome was from the Delta genome and the 3' end from Omicron, including the majority of the spike protein gene, though the breakpoints were different. CONCLUSIONS Delta-Omicron recombinant viruses were rare, and there is currently no evidence that Delta-Omicron recombinant viruses are more transmissible between hosts compared with the circulating Omicron lineages. FUNDING This research was supported by the NIH RADx initiative and by the Centers for Disease Control Contract 75D30121C12730 (Helix).
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Affiliation(s)
| | | | | | | | | | | | - Pavitra Roychoudhury
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA 98195, USA
| | - Alexander L Greninger
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA 98195, USA
| | | | - Mark Beatty
- County of San Diego Health and Human Services, San Diego, CA 92110, USA
| | - Seema Shah
- County of San Diego Health and Human Services, San Diego, CA 92110, USA
| | - Sarah Stous
- County of San Diego Health and Human Services, San Diego, CA 92110, USA
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Butler-Laporte G, Povysil G, Kosmicki JA, Cirulli ET, Drivas T, Furini S, Saad C, Schmidt A, Olszewski P, Korotko U, Quinodoz M, Çelik E, Kundu K, Walter K, Jung J, Stockwell AD, Sloofman LG, Jordan DM, Thompson RC, Del Valle D, Simons N, Cheng E, Sebra R, Schadt EE, Kim-Schulze S, Gnjatic S, Merad M, Buxbaum JD, Beckmann ND, Charney AW, Przychodzen B, Chang T, Pottinger TD, Shang N, Brand F, Fava F, Mari F, Chwialkowska K, Niemira M, Pula S, Baillie JK, Stuckey A, Salas A, Bello X, Pardo-Seco J, Gómez-Carballa A, Rivero-Calle I, Martinón-Torres F, Ganna A, Karczewski KJ, Veerapen K, Bourgey M, Bourque G, Eveleigh RJM, Forgetta V, Morrison D, Langlais D, Lathrop M, Mooser V, Nakanishi T, Frithiof R, Hultström M, Lipcsey M, Marincevic-Zuniga Y, Nordlund J, Schiabor Barrett KM, Lee W, Bolze A, White S, Riffle S, Tanudjaja F, Sandoval E, Neveux I, Dabe S, Casadei N, Motameny S, Alaamery M, Massadeh S, Aljawini N, Almutairi MS, Arabi YM, Alqahtani SA, Al Harthi FS, Almutairi A, Alqubaishi F, Alotaibi S, Binowayn A, Alsolm EA, El Bardisy H, Fawzy M, Cai F, Soranzo N, Butterworth A, Geschwind DH, Arteaga S, Stephens A, Butte MJ, Boutros PC, Yamaguchi TN, Tao S, Eng S, Sanders T, Tung PJ, Broudy ME, Pan Y, Gonzalez A, Chavan N, Johnson R, Pasaniuc B, Yaspan B, Smieszek S, Rivolta C, Bibert S, Bochud PY, Dabrowski M, Zawadzki P, Sypniewski M, Kaja E, Chariyavilaskul P, Nilaratanakul V, Hirankarn N, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Tokunaga K, Sugiyama M, Kawai Y, Hasegawa T, Naito T, Namkoong H, Edahiro R, Kimura A, Ogawa S, Kanai T, Fukunaga K, Okada Y, Imoto S, Miyano S, Mangul S, Abedalthagafi MS, Zeberg H, Grzymski JJ, Washington NL, Ossowski S, Ludwig KU, Schulte EC, Riess O, Moniuszko M, Kwasniewski M, Mbarek H, Ismail SI, Verma A, Goldstein DB, Kiryluk K, Renieri A, Ferreira MAR, Richards JB. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative. PLoS Genet 2022; 18:e1010367. [PMID: 36327219 PMCID: PMC9632827 DOI: 10.1371/journal.pgen.1010367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/29/2022] [Indexed: 11/05/2022] Open
Abstract
Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.
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Grants
- 409511 CIHR
- RG/13/13/30194 British Heart Foundation
- C18281/A29019 Cancer Research UK
- 100558 CIHR
- MC_PC_20004 Medical Research Council
- 365825 CIHR
- UL1 TR001873 NCATS NIH HHS
- RG/18/13/33946 British Heart Foundation
- CH/12/2/29428 British Heart Foundation
- CanCOGeN HostSeq
- Fonds de Recherche Québec Santé (FRQS)
- Génome Québec
- Public Health Agency of Canada
- Canadian Institutes of Health Research (CIHR)
- Lady Davis Institute of the Jewish General Hospital
- Canadian Foundation for Innovation
- NIH Foundation
- McGill Interdisciplinary Initiative in Infection and Immunity (MI4)
- Jewish General Hospital Foundation
- McGill University
- Calcul Québec and Compute Canada
- Compute Canada
- Vagelos College of Physicians & Surgeons Office for Research
- Biomedical Informatics Resource of the Columbia University Irving Institute for Clinical and Translational Research (CTSA)
- National Center for Advancing Translational Sciences, National Institutes of Health
- German Research Foundation
- NGS Competence Center Tübingen
- West German Genome Center
- Stiftung Universitätsmedizin Essen
- Technical University of Munich
- BONFOR program of the Medical Faculty, University of Bonn
- Emmy-Noether programm of the German Research Foundation
- State of Saarland
- Dr. Rolf M. Schwiete Foundation
- Munich Clinician Scientist Programm
- Netzwerk-Universitaetsmedizin-COVIM
- Federal Ministry of Education and Research
- Swiss National Science Foundation
- Leenaards Foundation
- Santos-Suarez Foundation
- Carigest
- MIUR project “Dipartimenti di Eccellenza 2018-2020”
- Bando Ricerca COVID-19 Toscana
- charity fund 2020 from Intesa San Paolo
- Italian Ministry of University and Research
- Istituto Buddista Italiano Soka Gakkai
- Instituto de Salud Carlos III
- GePEM
- DIAVIR
- Resvi-Omics
- ReSVinext
- Enterogen
- Agencia Gallega para la Gestión del Conocimiento en Salud
- BI-BACVIR
- CovidPhy
- Agencia Gallega de Innovación (GAIN):
- GEN-COVID
- Framework Partnership Agreement between the Consellería de Sanidad de la XUNTA de Galicia
- GENVIP-IDIS
- consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias
- F. Hoffmann-La Roche Ltd
- U.S. Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, and Biomedical Advanced Research and Development Authority
- Nevada Governor's Office of Economic Development
- Renown Health and the Renown Health Foundation
- Ratchadapiseksompotch Fund, Faculty of Medicine, Chulalongkorn University
- Healthcare-associated Infection Research Group STAR (Special Task Force for Activating Research)
- Grant for Development of New Faculty Staff, Ratchadaphiseksomphot Endowment Fund
- e-ASIA Joint Research Program (National Science and Technology Development Agency)
- Health Systems Research Institute, TSRI Fund
- Thailand Research Fund
- Ratchadapiseksompotch Fund
- Ratchadapiseksompotch Fund, Faculty of Medicine,Chulalongkorn University, Bangkok, Thailand
- Health Systems Research Institute
- Ratchadapisek Sompoch Endowment Fund, Chulalongkorn University
- NHS Blood and Transplant
- National Institute for Health Research
- UK Medical Research Council
- Japan Agency for Medical Research and Development
- Japan Science and Technology Agency
- National Center for Global Health and Medicine
- Agency for Medical Research and Development
- Polish National Science Centre
- Medical Research Agency
- Perelman School of Medicine at University of Pennsylvania
- Smilow family
- National Center for Advancing Translational Sciences of the National Institutes of Health
- Polish Medical Research Agency
- Qatar Foundation for Education, Science and Community Development
- Saudi Ministry of Health
- King Abdulaziz City for Science and Technology
- European Union’s Horizon 2020 research and innovation program
- Science for Life Laboratory
- Swedish Research Council
- Knut and Alice Wallenberg Foundation
- OCRC
- Microsoft COVID Compute Funding
- Illumina
- UCLA David Geffen School of Medicine - Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research Award Program
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Affiliation(s)
- Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University, New York city, New York, United States of America
| | - Jack A. Kosmicki
- Regeneron Genetics Center, Tarrytown, New York, United States of America
| | | | - Theodore Drivas
- Division of Human Genetics, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Simone Furini
- Department of Medical Biotechnologies, Med Biotech Hub and Competence Center, University of Siena, Siena, Italy
| | - Chadi Saad
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Axel Schmidt
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | | | - Urszula Korotko
- IMAGENE.ME SA, Bialystok, Poland
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, Bialystok, Poland
| | - Mathieu Quinodoz
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
- Department of Ophthalmology, University Hospital Basel, Basel, Switzerland
| | - Elifnaz Çelik
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland
- Department of Ophthalmology, University Hospital Basel, Basel, Switzerland
| | - Kousik Kundu
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Klaudia Walter
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Junghyun Jung
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, United States of America
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Amy D. Stockwell
- Genentech Inc, South San Francisco, California, United States of America
| | - Laura G. Sloofman
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Daniel M. Jordan
- Mount Sinai Clnical Intelligence Center, Charles Bronfman Institute for Personalized Medicine, Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Ryan C. Thompson
- Icahn Institute of Data Science and Genomics Technology, New York city, New York, United States of America
| | - Diane Del Valle
- Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Nicole Simons
- Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Esther Cheng
- Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York city,New York, United States of America
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York city,New York, United States of America
| | - Seunghee Kim-Schulze
- Department of Oncological Science, Human Immune Monitoring Center, Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Sacha Gnjatic
- Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Miriam Merad
- Precision Immunology Institute, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Joseph D. Buxbaum
- Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Noam D. Beckmann
- Precision Immunology Institute, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | - Alexander W. Charney
- Mount Sinai Clinical Intelligence Center; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York city, New York, United States of America
| | | | - Timothy Chang
- Department of Neurology, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Tess D. Pottinger
- Institute for Genomic Medicine, Columbia University, New York city, New York, United States of America
| | - Ning Shang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York city, New York, United States of America
| | - Fabian Brand
- Institute of Genomic Statistics and Bioinformatics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Francesca Fava
- Department of Medical Biotechnologies, Med Biotech Hub and Competence Center, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
- Medical Genetics, University of Siena, Siena, Italy
| | - Francesca Mari
- Department of Medical Biotechnologies, Med Biotech Hub and Competence Center, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
- Medical Genetics, University of Siena, Siena, Italy
| | - Karolina Chwialkowska
- IMAGENE.ME SA, Bialystok, Poland
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, Bialystok, Poland
| | - Magdalena Niemira
- Centre for Clinical Research, Medical University of Bialystok, Bialystok, Poland
| | | | - J Kenneth Baillie
- Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
- Centre for Inflammation Research, The Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- Intensive Care Unit, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | | | - Antonio Salas
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigaciones Sanitarias, Hospital Clínico Universitario de Santiago (SERGAS), Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Xabier Bello
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigaciones Sanitarias, Hospital Clínico Universitario de Santiago (SERGAS), Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Jacobo Pardo-Seco
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigaciones Sanitarias, Hospital Clínico Universitario de Santiago (SERGAS), Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Alberto Gómez-Carballa
- Unidade de Xenética, Instituto de Ciencias Forenses (INCIFOR), Facultade de Medicina, Universidade de Santiago de Compostela, and GenPoB Research Group, Instituto de Investigaciones Sanitarias, Hospital Clínico Universitario de Santiago (SERGAS), Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Irene Rivero-Calle
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Federico Martinón-Torres
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
- Translational Pediatrics and Infectious Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachussets, United States of America
| | - Konrad J. Karczewski
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Kumar Veerapen
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Mathieu Bourgey
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
| | - Guillaume Bourque
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Robert JM Eveleigh
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
| | - Vincenzo Forgetta
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
| | - David Morrison
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
| | - David Langlais
- McGill Genome Center, McGill University, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Mark Lathrop
- McGill Genome Center, McGill University, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Vincent Mooser
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Tomoko Nakanishi
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Research Fellow, Japan Society for the Promotion of Science, Tokyo, Japan
| | - Robert Frithiof
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Michael Hultström
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Miklos Lipcsey
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Hedenstierna Laboratory, CIRRUS, Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Yanara Marincevic-Zuniga
- Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Jessica Nordlund
- Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - William Lee
- Helix, San Mateo, California, United States of America
| | | | - Simon White
- Helix, San Mateo, California, United States of America
| | | | | | | | - Iva Neveux
- Center for Genomic Medicine, Desert Research Institute, Reno, Nevada United States of America
| | - Shaun Dabe
- Renown Health, Reno, Nevada, United States of America
| | - Nicolas Casadei
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
- NGS Competence Center Tuebingen, Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Susanne Motameny
- West German Genome Center, site Cologne, University of Cologne, Cologne, Germany
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Manal Alaamery
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Salam Massadeh
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Nora Aljawini
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Mansour S. Almutairi
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Yaseen M. Arabi
- Ministry of the National Guard Health Affairs, King Abdullah International Medical Research Center and King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Saleh A. Alqahtani
- Liver Transplant Unit, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
- Division of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Fawz S. Al Harthi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Amal Almutairi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Fatima Alqubaishi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Sarah Alotaibi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Albandari Binowayn
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Ebtehal A. Alsolm
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hadeel El Bardisy
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Mohammad Fawzy
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Fang Cai
- Genentech Inc, South San Francisco, California, United States of America
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Adam Butterworth
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom
| | | | | | | | | | | | | | | | | | - Daniel H. Geschwind
- Department of Neurology, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Stephanie Arteaga
- Department of Neurology, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Alexis Stephens
- Department of Pediatrics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Manish J. Butte
- Department of Pediatrics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
- Department of Microbiology, Immunology, and Molecular Genetics (MIMG), David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Paul C. Boutros
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Takafumi N. Yamaguchi
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Shu Tao
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Stefan Eng
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Timothy Sanders
- Office of Health Informatics and Analytics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Paul J. Tung
- Office of Health Informatics and Analytics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Michael E. Broudy
- Office of Health Informatics and Analytics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Yu Pan
- Office of Health Informatics and Analytics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Alfredo Gonzalez
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Nikhil Chavan
- Office of Health Informatics and Analytics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Ruth Johnson
- Department of Computer Science, McGill University, Montréal, Québec, Canada
| | - Bogdan Pasaniuc
- Department of Human Genetics, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
- Department of Computational Medicine, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
- Department of Pathology, David Geffen School of Medicine, University of California—Los Angeles, Los Angeles, California, United States of America
| | - Brian Yaspan
- Genentech Inc, South San Francisco, California, United States of America
| | - Sandra Smieszek
- Vanda Pharmaceuticals, Washington, District of Columbia, United States of America
| | - Carlo Rivolta
- Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
- Department of Ophthalmology, University Hospital Basel, Basel, Switzerland
| | - Stephanie Bibert
- Infectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pierre-Yves Bochud
- Infectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Maciej Dabrowski
- MNM Bioscience Inc., Cambridge, Massachusetts, United States of America
| | - Pawel Zawadzki
- MNM Bioscience Inc., Cambridge, Massachusetts, United States of America
- Faculty of Physics, Adam Mickiewicz University, Poznan, Poland
| | | | - Elżbieta Kaja
- MNM Bioscience Inc., Cambridge, Massachusetts, United States of America
- Department of Medical Chemistry and Laboratory Medicine, Poznań University of Medical Sciences, Poznań, Poland
| | - Pajaree Chariyavilaskul
- Clinical Pharmacokinetics and Pharmacogenomics Research Unit, Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Voraphoj Nilaratanakul
- Healthcare-associated Infection Research Group STAR (Special Task Force for Activating Research) and Division of Infectious Diseases, Department of Medicine,Chulalongkorn University, Bangkok, Thailand
| | - Nattiya Hirankarn
- Center of Excellence in Immunology and Immune-mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, and Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Monnat Pongpanich
- Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | - Chureerat Phokaew
- Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Wanna Chetruengchai
- Center of Excellence for Medical Genomics, Medical Genomics Cluster, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Katsushi Tokunaga
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Masaya Sugiyama
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Yosuke Kawai
- Genome Medical Science Project, National Center for Global Health and Medicine (NCGM), Tokyo, Japan
| | - Takanori Hasegawa
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, United States of America
| | - Malak S. Abedalthagafi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hugo Zeberg
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Joseph J. Grzymski
- Center for Genomic Medicine, Desert Research Institute, Reno, Nevada United States of America
| | | | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
- NGS Competence Center Tuebingen, Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Kerstin U. Ludwig
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
- West German Genome Center, site Bonn, University of Bonn, Bonn, Germany
| | - Eva C. Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Institute of Virology, Technical University Munich/Helmholtz Zentrum München, Munich, Germany
| | - Olaf Riess
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
- NGS Competence Center Tuebingen, Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | - Marcin Moniuszko
- Department of Regenerative Medicine and Immune Regulation, Medical University of Bialystok, Bialystok, Poland
- Department of Allergology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Miroslaw Kwasniewski
- IMAGENE.ME SA, Bialystok, Poland
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, Bialystok, Poland
| | - Hamdi Mbarek
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Said I. Ismail
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Anurag Verma
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
| | - David B. Goldstein
- Institute for Genomic Medicine, Columbia University, New York city, New York, United States of America
- Department of Genetics & Development, Columbia University, New York city, New York, United States of America
| | - Krzysztof Kiryluk
- Institute for Genomic Medicine, Columbia University, New York city, New York, United States of America
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York city, New York, United States of America
| | - Alessandra Renieri
- Department of Medical Biotechnologies, Med Biotech Hub and Competence Center, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
- Medical Genetics, University of Siena, Siena, Italy
| | | | - J Brent Richards
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Infectious Diseases and Immunity in Global Health Program, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
- Department of Twin Research, King’s College London, London, United Kingdom
- 5 Prime Sciences Inc, Montreal, Quebec, Canada
- * E-mail:
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7
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Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Schiabor Barrett KM, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission. Nature 2022; 609:101-108. [PMID: 35798029 PMCID: PMC9433318 DOI: 10.1038/s41586-022-05049-6] [Citation(s) in RCA: 140] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 06/29/2022] [Indexed: 11/23/2022]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing and/or sequencing capacity, which can also introduce biases1–3. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing4,5. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We developed and deployed improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detected emerging variants of concern up to 14 days earlier in wastewater samples, and identified multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission. Emerging SARS-CoV-2 variants of concern were detected early and multiple cases of virus spread not captured by clinical genomic surveillance were identified using high-resolution wastewater and clinical sequencing.
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Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA.,Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA.,Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | | | | | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.,Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego, USA
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Pradeep K Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA, USA.,Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. .,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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8
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Bolze A, Neveux I, Schiabor Barrett KM, White S, Isaksson M, Dabe S, Lee W, Grzymski JJ, Washington NL, Cirulli ET. HLA-A∗03:01 is associated with increased risk of fever, chills, and stronger side effects from Pfizer-BioNTech COVID-19 vaccination. HGG Adv 2022; 3:100084. [PMID: 35005651 PMCID: PMC8719913 DOI: 10.1016/j.xhgg.2021.100084] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/28/2021] [Indexed: 11/29/2022] Open
Abstract
COVID-19 vaccines are safe and highly effective, but some individuals experience unpleasant reactions to vaccination. As the majority of adults in the United States have received a COVID-19 vaccine this year, there is an unprecedented opportunity to study the genetics of reactions to vaccination via surveys of individuals who are already part of genetic research studies. Here, we have queried 17,440 participants in the Helix DNA Discovery Project and Healthy Nevada Project about their reactions to COVID-19 vaccination. Our genome-wide association study identifies an association between severe difficulties with daily routine after vaccination and HLA-A∗03:01. This association was statistically significant only for those who received the Pfizer-BioNTech vaccine (BNT162b2; n = 3,694; p = 4.70E−11; OR = 2.07 [95% CI 1.67–2.56]), and showed a smaller effect size in those who received the Moderna vaccine (mRNA-1273; n = 3,610; p = 0.005; OR = 1.32 [95% CI 1.09–1.59]). In Pfizer-BioNTech recipients, HLA-A∗03:01 was associated with a 2-fold increase in risk of self-reported severe difficulties with daily routine following vaccination. The effect was consistent across ages, sexes, and whether the person had previously had a COVID-19 infection. The reactions experienced by HLA-A∗03:01 carriers were driven by associations with chills, fever, fatigue, and generally feeling unwell.
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Affiliation(s)
- Alexandre Bolze
- Helix, 101 South Ellsworth Avenue, Suite 350, San Mateo, CA 94401, USA
| | - Iva Neveux
- Center for Genomic Medicine, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA
| | | | - Simon White
- Helix, 101 South Ellsworth Avenue, Suite 350, San Mateo, CA 94401, USA
| | - Magnus Isaksson
- Helix, 101 South Ellsworth Avenue, Suite 350, San Mateo, CA 94401, USA
| | - Shaun Dabe
- Renown Health, 1155 Mill Street, Reno, NV 89502, USA
| | - William Lee
- Helix, 101 South Ellsworth Avenue, Suite 350, San Mateo, CA 94401, USA
| | - Joseph J Grzymski
- Center for Genomic Medicine, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA
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9
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Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Barrett KMS, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission. medRxiv 2022:2021.12.21.21268143. [PMID: 35411350 PMCID: PMC8996633 DOI: 10.1101/2021.12.21.21268143] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.
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Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M. Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M. Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B. Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C. Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L. Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Nicholson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian H Mchardy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David P Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S. Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K. Martin
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R. MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T. Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA
| | - Pradeep K. Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C. Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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10
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Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Barrett KMS, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission. medRxiv 2022. [PMID: 35411350 DOI: 10.1101/2022.01.27.22269965] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.
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Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Nicholson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian H Mchardy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA
| | - Pradeep K Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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11
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Bolze A, Luo S, White S, Cirulli ET, Wyman D, Dei Rossi A, Machado H, Cassens T, Jacobs S, Schiabor Barrett KM, Tanudjaja F, Tsan K, Nguyen J, Ramirez JM, Sandoval E, Wang X, Wong D, Becker D, Laurent M, Lu JT, Isaksson M, Washington NL, Lee W. SARS-CoV-2 variant Delta rapidly displaced variant Alpha in the United States and led to higher viral loads. Cell Rep Med 2022; 3:100564. [PMID: 35474739 PMCID: PMC8922438 DOI: 10.1016/j.xcrm.2022.100564] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/10/2022] [Accepted: 02/17/2022] [Indexed: 11/22/2022]
Abstract
We report on the sequencing of 74,348 SARS-CoV-2 positive samples collected across the United States and show that the Delta variant, first detected in the United States in March 2021, made up the majority of SARS-CoV-2 infections by July 1, 2021 and accounted for >99.9% of the infections by September 2021. Not only did Delta displace variant Alpha, which was the dominant variant at the time, it also displaced the Gamma, Iota, and Mu variants. Through an analysis of quantification cycle (Cq) values, we demonstrate that Delta infections tend to have a 1.7× higher viral load compared to Alpha infections (a decrease of 0.8 Cq) on average. Our results are consistent with the hypothesis that the increased transmissibility of the Delta variant could be due to the ability of the Delta variant to establish a higher viral load earlier in the infection as compared to the Alpha variant. Alpha was dominant in spring 2021 and went extinct in fall 2021 in the United States Delta also displaced Gamma, Iota, and Mu variants On average, viral load was ∼1.7× higher in Delta infections versus Alpha infections
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12
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Schiabor Barrett KM, Bolze A, Ni Y, White S, Isaksson M, Sharma L, Levin E, Lee W, Grzymski JJ, Lu JT, Washington NL, Cirulli ET. Positive predictive value highlights four novel candidates for actionable genetic screening from analysis of 220,000 clinicogenomic records. Genet Med 2021; 23:2300-2308. [PMID: 34385667 PMCID: PMC8629756 DOI: 10.1038/s41436-021-01293-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/19/2021] [Accepted: 07/19/2021] [Indexed: 11/30/2022] Open
Abstract
PURPOSE To identify conditions that are candidates for population genetic screening based on population prevalence, penetrance of rare variants, and actionability. METHODS We analyzed exome and medical record data from >220,000 participants across two large population health cohorts with different demographics. We performed a gene-based collapsing analysis of rare variants to identify genes significantly associated with disease status. RESULTS We identify 74 statistically significant gene-disease associations across 27 genes. Seven of these conditions have a positive predictive value (PPV) of at least 30% in both cohorts. Three are already used in population screening programs (BRCA1, BRCA2, LDLR), and we also identify four new candidates for population screening: GCK with diabetes mellitus, HBB with β-thalassemia minor and intermedia, PKD1 with cystic kidney disease, and MIP with cataracts. Importantly, the associations are actionable in that early genetic screening of each of these conditions is expected to improve outcomes. CONCLUSION We identify seven genetic conditions where rare variation appears appropriate to assess in population screening, four of which are not yet used in screening programs. The addition of GCK, HBB, PKD1, and MIP rare variants into genetic screening programs would reach an additional 0.21% of participants with actionable disease risk, depending on the population.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Joseph J Grzymski
- Renown Institute for Health Innovation, Reno, NV, USA
- Desert Research Institute, Reno, NV, USA
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13
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van Blokland IV, Lanting P, Ori APS, Vonk JM, Warmerdam RCA, Herkert JC, Boulogne F, Claringbould A, Lopera-Maya EA, Bartels M, Hottenga JJ, Ganna A, Karjalainen J, Hayward C, Fawns-Ritchie C, Campbell A, Porteous D, Cirulli ET, Schiabor Barrett KM, Riffle S, Bolze A, White S, Tanudjaja F, Wang X, Ramirez JM, Lim YW, Lu JT, Washington NL, de Geus EJC, Deelen P, Boezen HM, Franke LH. Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility. PLoS One 2021; 16:e0255402. [PMID: 34379666 PMCID: PMC8357137 DOI: 10.1371/journal.pone.0255402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 07/15/2021] [Indexed: 01/24/2023] Open
Abstract
Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-reported disease-related symptoms. Here, we demonstrate that this COVID-19 prediction model has reasonable and consistent performance across multiple independent cohorts and that our attempt to improve upon this model did not result in improved predictions. Using the existing COVID-19 prediction model, we then conducted a GWAS on the predicted phenotype using a total of 1,865 predicted cases and 29,174 controls. While we did not find any common, large-effect variants that reached genome-wide significance, we do observe suggestive genetic associations at two SNPs (rs11844522, p = 1.9x10-7; rs5798227, p = 2.2x10-7). Explorative analyses furthermore suggest that genetic variants associated with other viral infectious diseases do not overlap with COVID-19 susceptibility and that severity of COVID-19 may have a different genetic architecture compared to COVID-19 susceptibility. This study represents a first effort that uses a symptom-based predicted phenotype as a proxy for COVID-19 in our pursuit of understanding the genetic susceptibility of the disease. We conclude that the inclusion of symptom-based predicted cases could be a useful strategy in a scenario of limited testing, either during the current COVID-19 pandemic or any future viral outbreak.
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Affiliation(s)
- Irene V. van Blokland
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pauline Lanting
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anil P. S. Ori
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Judith M. Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert C. A. Warmerdam
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Johanna C. Herkert
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Floranne Boulogne
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Annique Claringbould
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Structural Computational Biology unit, EMBL, Heidelberg, Germany
| | - Esteban A. Lopera-Maya
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, FGB, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, FGB, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
- Analytic and Translational Genetics Unit (ATGU), Massachusetts General Hospital, Boston, MA, United States of America
| | | | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Chloe Fawns-Ritchie
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Archie Campbell
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - David Porteous
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | | | | | - Stephen Riffle
- Helix OpCo LLC, San Mateo, California, United States of America
| | - Alexandre Bolze
- Helix OpCo LLC, San Mateo, California, United States of America
| | - Simon White
- Helix OpCo LLC, San Mateo, California, United States of America
| | | | - Xueqing Wang
- Helix OpCo LLC, San Mateo, California, United States of America
| | | | - Yan Wei Lim
- Helix OpCo LLC, San Mateo, California, United States of America
| | - James T. Lu
- Helix OpCo LLC, San Mateo, California, United States of America
| | | | - Eco J. C. de Geus
- Department of Biological Psychology, FGB, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Amsterdam UMC, Amsterdam, The Netherlands
| | - Patrick Deelen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - H. Marike Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lude H. Franke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
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14
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Luo S, Jiang R, Grzymski JJ, Lee W, Lu JT, Washington NL. Comprehensive Allele Genotyping in Critical Pharmacogenes Reduces Residual Clinical Risk in Diverse Populations. Clin Pharmacol Ther 2021; 110:759-767. [PMID: 33930192 PMCID: PMC8453755 DOI: 10.1002/cpt.2279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/19/2021] [Indexed: 11/25/2022]
Abstract
Genomic‐guided pharmaceutical prescribing is increasingly recognized as an important clinical application of genetics. Accurate genotyping of pharmacogenomic (PGx) genes can be difficult, owing to their complex genetic architecture involving combinations of single‐nucleotide polymorphisms and structural variation. Here, we introduce the Helix PGx database, an open‐source star allele, genotype, and resulting metabolic phenotype frequency database for CYP2C9, CYP2C19, CYP2D6, and CYP4F2, based on short‐read sequencing of >86,000 unrelated individuals enrolled in the Helix DNA Discovery Project. The database is annotated using a pipeline that is clinically validated against a broad range of alleles and designed to call CYP2D6 structural variants with high (98%) accuracy. We find that CYP2D6 has greater allelic diversity than the other genes, manifest in both a long tail of low‐frequency star alleles, as well as a disproportionate fraction (36%) of all novel predicted loss‐of‐function variants identified. Across genes, we observe that many rare alleles (<0.1% frequency) in the overall cohort have 10 times higher frequency in one or more subgroups with non‐European genetic ancestry. Extending these PGx genotypes to predicted metabolic phenotypes, we demonstrate that >90% of the cohort harbors a high‐risk variant in one of the four pharmacogenes. Based on the recorded prescriptions for >30,000 individuals in the Healthy Nevada Project, combined with predicted PGx metabolic phenotypes, we anticipate that standard‐of‐care screening of these 4 pharmacogenes could impact nearly half of the general population.
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Affiliation(s)
| | | | - Joseph J Grzymski
- Desert Research Institute, Reno, Nevada, USA.,Renown Institute of Health Innovation, Reno, Nevada, USA
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15
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Washington NL, Gangavarapu K, Zeller M, Bolze A, Cirulli ET, Schiabor Barrett KM, Larsen BB, Anderson C, White S, Cassens T, Jacobs S, Levan G, Nguyen J, Ramirez JM, Rivera-Garcia C, Sandoval E, Wang X, Wong D, Spencer E, Robles-Sikisaka R, Kurzban E, Hughes LD, Deng X, Wang C, Servellita V, Valentine H, De Hoff P, Seaver P, Sathe S, Gietzen K, Sickler B, Antico J, Hoon K, Liu J, Harding A, Bakhtar O, Basler T, Austin B, MacCannell D, Isaksson M, Febbo PG, Becker D, Laurent M, McDonald E, Yeo GW, Knight R, Laurent LC, de Feo E, Worobey M, Chiu CY, Suchard MA, Lu JT, Lee W, Andersen KG. Emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States. Cell 2021; 184:2587-2594.e7. [PMID: 33861950 PMCID: PMC8009040 DOI: 10.1016/j.cell.2021.03.052] [Citation(s) in RCA: 197] [Impact Index Per Article: 65.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/25/2021] [Accepted: 03/24/2021] [Indexed: 11/30/2022]
Abstract
The highly transmissible B.1.1.7 variant of SARS-CoV-2, first identified in the United Kingdom, has gained a foothold across the world. Using S gene target failure (SGTF) and SARS-CoV-2 genomic sequencing, we investigated the prevalence and dynamics of this variant in the United States (US), tracking it back to its early emergence. We found that, while the fraction of B.1.1.7 varied by state, the variant increased at a logistic rate with a roughly weekly doubling rate and an increased transmission of 40%–50%. We revealed several independent introductions of B.1.1.7 into the US as early as late November 2020, with community transmission spreading it to most states within months. We show that the US is on a similar trajectory as other countries where B.1.1.7 became dominant, requiring immediate and decisive action to minimize COVID-19 morbidity and mortality.
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Affiliation(s)
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | | | | | | | - Brendan B Larsen
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | | | | | | | | | | | | | | | | | | | | | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Laura D Hughes
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92122, USA
| | - Xianding Deng
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Candace Wang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Holly Valentine
- University of California, San Diego, San Diego, CA 92093, USA
| | - Peter De Hoff
- University of California, San Diego, San Diego, CA 92093, USA
| | - Phoebe Seaver
- University of California, San Diego, San Diego, CA 92093, USA
| | - Shashank Sathe
- University of California, San Diego, San Diego, CA 92093, USA
| | | | | | | | | | | | | | | | - Tracy Basler
- San Diego County Health and Human Services Agency, San Diego, CA 92101, USA
| | - Brett Austin
- San Diego County Health and Human Services Agency, San Diego, CA 92101, USA
| | - Duncan MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | | | | | | | | | - Eric McDonald
- San Diego County Health and Human Services Agency, San Diego, CA 92101, USA
| | - Gene W Yeo
- University of California, San Diego, San Diego, CA 92093, USA
| | - Rob Knight
- University of California, San Diego, San Diego, CA 92093, USA
| | | | | | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94158, USA; Innovative Genomics Institute, Berkeley, CA 94720, USA
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, and Departments of Biomathematics and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | | | | | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92122, USA.
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16
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Read RW, Schlauch KA, Lombardi VC, Cirulli ET, Washington NL, Lu JT, Grzymski JJ. Genome-Wide Identification of Rare and Common Variants Driving Triglyceride Levels in a Nevada Population. Front Genet 2021; 12:639418. [PMID: 33763119 PMCID: PMC7982958 DOI: 10.3389/fgene.2021.639418] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/12/2021] [Indexed: 01/08/2023] Open
Abstract
Clinical conditions correlated with elevated triglyceride levels are well-known: coronary heart disease, hypertension, and diabetes. Underlying genetic and phenotypic mechanisms are not fully understood, partially due to lack of coordinated genotypic-phenotypic data. Here we use a subset of the Healthy Nevada Project, a population of 9,183 sequenced participants with longitudinal electronic health records to examine consequences of altered triglyceride levels. Specifically, Healthy Nevada Project participants sequenced by the Helix Exome+ platform were cross-referenced to their electronic medical records to identify: (1) rare and common single-variant genome-wide associations; (2) gene-based associations using a Sequence Kernel Association Test; (3) phenome-wide associations with triglyceride levels; and (4) pleiotropic variants linked to triglyceride levels. The study identified 549 significant single-variant associations (p < 8.75 × 10-9), many in chromosome 11's triglyceride hotspot: ZPR1, BUD13, APOC3, APOA5. A well-known protective loss-of-function variant in APOC3 (R19X) was associated with a 51% decrease in triglyceride levels in the cohort. Sixteen gene-based triglyceride associations were identified; six of these genes surprisingly did not include a single variant with significant associations. Results at the variant and gene level were validated with the UK Biobank. The combination of a single-variant genome-wide association, a gene-based association method, and phenome wide-association studies identified rare and common variants, genes, and phenotypes associated with elevated triglyceride levels, some of which may have been overlooked with standard approaches.
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Affiliation(s)
- Robert W. Read
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | - Karen A. Schlauch
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
| | - Vincent C. Lombardi
- Department of Microbiology and Immunology, School of Medicine, University of Nevada, Reno, Reno, NV, United States
| | | | | | - James T. Lu
- Helix Opco, LLC., San Mateo, CA, United States
| | - Joseph J. Grzymski
- Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States
- Renown Health, Reno, NV, United States
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17
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Washington NL, Gangavarapu K, Zeller M, Bolze A, Cirulli ET, Barrett KMS, Larsen BB, Anderson C, White S, Cassens T, Jacobs S, Levan G, Nguyen J, Ramirez JM, Rivera-Garcia C, Sandoval E, Wang X, Wong D, Spencer E, Robles-Sikisaka R, Kurzban E, Hughes LD, Deng X, Wang C, Servellita V, Valentine H, De Hoff P, Seaver P, Sathe S, Gietzen K, Sickler B, Antico J, Hoon K, Liu J, Harding A, Bakhtar O, Basler T, Austin B, Isaksson M, Febbo PG, Becker D, Laurent M, McDonald E, Yeo GW, Knight R, Laurent LC, de Feo E, Worobey M, Chiu C, Suchard MA, Lu JT, Lee W, Andersen KG. Genomic epidemiology identifies emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States. medRxiv 2021:2021.02.06.21251159. [PMID: 33564780 PMCID: PMC7872373 DOI: 10.1101/2021.02.06.21251159] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
As of January of 2021, the highly transmissible B.1.1.7 variant of SARS-CoV-2, which was first identified in the United Kingdom (U.K.), has gained a strong foothold across the world. Because of the sudden and rapid rise of B.1.1.7, we investigated the prevalence and growth dynamics of this variant in the United States (U.S.), tracking it back to its early emergence and onward local transmission. We found that the RT-qPCR testing anomaly of S gene target failure (SGTF), first observed in the U.K., was a reliable proxy for B.1.1.7 detection. We sequenced 212 B.1.1.7 SARS-CoV-2 genomes collected from testing facilities in the U.S. from December 2020 to January 2021. We found that while the fraction of B.1.1.7 among SGTF samples varied by state, detection of the variant increased at a logistic rate similar to those observed elsewhere, with a doubling rate of a little over a week and an increased transmission rate of 35-45%. By performing time-aware Bayesian phylodynamic analyses, we revealed several independent introductions of B.1.1.7 into the U.S. as early as late November 2020, with onward community transmission enabling the variant to spread to at least 30 states as of January 2021. Our study shows that the U.S. is on a similar trajectory as other countries where B.1.1.7 rapidly became the dominant SARS-CoV-2 variant, requiring immediate and decisive action to minimize COVID-19 morbidity and mortality.
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Affiliation(s)
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
| | | | | | | | - Brendan B. Larsen
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
| | | | | | | | | | | | | | | | | | | | | | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
| | | | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
| | - Laura D. Hughes
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xianding Deng
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Candace Wang
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | | | | | | | | | | | | | | | | | | | | | | | - Tracy Basler
- San Diego County Health and Human Services Agency, San Diego, CA
| | - Brett Austin
- San Diego County Health and Human Services Agency, San Diego, CA
| | | | | | | | | | - Eric McDonald
- San Diego County Health and Human Services Agency, San Diego, CA
| | | | | | | | | | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
| | - Charles Chiu
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
- Innovative Genomics Institute, Berkeley, CA
| | - Marc A. Suchard
- Department of Biostatistics, Fielding School of Public Health, and Departments of Biomathematics and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | | | | | - Kristian G. Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA
- Scripps Research Translational Institute, La Jolla, CA
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18
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Bonnefond A, Boissel M, Bolze A, Durand E, Toussaint B, Vaillant E, Gaget S, Graeve FD, Dechaume A, Allegaert F, Guilcher DL, Yengo L, Dhennin V, Borys JM, Lu JT, Cirulli ET, Elhanan G, Roussel R, Balkau B, Marre M, Franc S, Charpentier G, Vaxillaire M, Canouil M, Washington NL, Grzymski JJ, Froguel P. Pathogenic variants in actionable MODY genes are associated with type 2 diabetes. Nat Metab 2020; 2:1126-1134. [PMID: 33046911 DOI: 10.1038/s42255-020-00294-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/08/2020] [Indexed: 02/07/2023]
Abstract
Genome-wide association studies have identified 240 independent loci associated with type 2 diabetes (T2D) risk, but this knowledge has not advanced precision medicine. In contrast, the genetic diagnosis of monogenic forms of diabetes (including maturity-onset diabetes of the young (MODY)) are textbook cases of genomic medicine. Recent studies trying to bridge the gap between monogenic diabetes and T2D have been inconclusive. Here, we show a significant burden of pathogenic variants in genes linked with monogenic diabetes among people with common T2D, particularly in actionable MODY genes, thus implying that there should be a substantial change in care for carriers with T2D. We show that, among 74,629 individuals, this burden is probably driven by the pathogenic variants found in GCK, and to a lesser extent in HNF4A, KCNJ11, HNF1B and ABCC8. The carriers with T2D are leaner, which evidences a functional metabolic effect of these mutations. Pathogenic variants in actionable MODY genes are more frequent than was previously expected in common T2D. These results open avenues for future interventions assessing the clinical interest of these pathogenic mutations in precision medicine.
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Affiliation(s)
- Amélie Bonnefond
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France.
- Department of Metabolism, Imperial College London, London, UK.
| | - Mathilde Boissel
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | - Emmanuelle Durand
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Bénédicte Toussaint
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Emmanuel Vaillant
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Stefan Gaget
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Franck De Graeve
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Aurélie Dechaume
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Frédéric Allegaert
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - David Le Guilcher
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Loïc Yengo
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
- Institute for Molecular Bioscience, the University of Queensland, St Lucia, Australia
| | - Véronique Dhennin
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | | | | | - Gai Elhanan
- Desert Research Institute, Reno, NV, USA
- Renown Institute of Health Innovation, Reno, NV, USA
| | - Ronan Roussel
- Department of Diabetology Endocrinology Nutrition, Hôpital Bichat, DHU FIRE, Assistance Publique Hôpitaux de Paris, Paris, France
- Inserm U1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Beverley Balkau
- Inserm U1018, Institut Gustave Roussy, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
| | - Michel Marre
- Inserm U1138, Centre de Recherche des Cordeliers, Paris, France
- CMC Ambroise Paré, Neuilly-sur-Seine, France
| | - Sylvia Franc
- CERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France
- Department of Diabetes, Sud-Francilien Hospital, University Paris-Sud, Orsay, Corbeil-Essonnes, France
| | - Guillaume Charpentier
- CERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France
| | - Martine Vaxillaire
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Mickaël Canouil
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | - Joseph J Grzymski
- Desert Research Institute, Reno, NV, USA
- Renown Institute of Health Innovation, Reno, NV, USA
| | - Philippe Froguel
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France.
- Department of Metabolism, Imperial College London, London, UK.
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19
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Rashkin MD, Bowes J, Dunaway K, Dhaliwal J, Loomis E, Riffle S, Washington NL, Ziegler C, Lu J, Levin E. Genetic counseling, 2030: An on-demand service tailored to the needs of a price conscious, genetically literate, and busy world. J Genet Couns 2020; 28:456-465. [PMID: 30964579 DOI: 10.1002/jgc4.1123] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 03/06/2019] [Accepted: 03/08/2019] [Indexed: 12/20/2022]
Abstract
The practice of genetic counseling is going to be impacted by the public's expectation that goods, services, information, and experiences happen on demand, wherever and whenever people want them. Building from trends that are currently taking shape, this article looks just over a decade into the future-to 2030-to provide a description of how the field of genetics and genetic counseling will be changed, as well as advice for genetic counselors for how to prepare. We build from the prediction that a large portion of the general public will have access to their digitized whole genome sequence anytime, any place, on any device. We focus on five topics downstream of this prediction: public health, personal autonomy, polygenic scores (PGS), evolving clinical practices, and genetic privacy.
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Affiliation(s)
| | | | | | | | | | | | | | | | - James Lu
- Helix Opco, LLC, San Carlos, California
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20
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Cirulli ET, White S, Read RW, Elhanan G, Metcalf WJ, Tanudjaja F, Fath DM, Sandoval E, Isaksson M, Schlauch KA, Grzymski JJ, Lu JT, Washington NL. Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts. Nat Commun 2020; 11:542. [PMID: 31992710 PMCID: PMC6987107 DOI: 10.1038/s41467-020-14288-y] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/19/2019] [Indexed: 02/08/2023] Open
Abstract
Understanding the impact of rare variants is essential to understanding human health. We analyze rare (MAF < 0.1%) variants against 4264 phenotypes in 49,960 exome-sequenced individuals from the UK Biobank and 1934 phenotypes (1821 overlapping with UK Biobank) in 21,866 members of the Healthy Nevada Project (HNP) cohort who underwent Exome + sequencing at Helix. After using our rare-variant-tailored methodology to reduce test statistic inflation, we identify 64 statistically significant gene-based associations in our meta-analysis of the two cohorts and 37 for phenotypes available in only one cohort. Singletons make significant contributions to our results, and the vast majority of the associations could not have been identified with a genotyping chip. Our results are available for interactive browsing in a webapp (https://ukb.research.helix.com). This comprehensive analysis illustrates the biological value of large, deeply phenotyped cohorts of unselected populations coupled with NGS data. Population-based association analyses of rare genetic variants with complex traits are limited by the availability of data from sufficiently large cohorts. Here, Cirulli et al. report gene-based collapsing analysis of exomes from 49,960 participants of the UK Biobank and 21,866 participants of the Healthy Nevada Project over a total of 4377 traits.
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Affiliation(s)
| | - Simon White
- Helix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA
| | - Robert W Read
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.,Renown Institute of Health Innovation, Reno, NV, 89512, USA
| | - Gai Elhanan
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.,Renown Institute of Health Innovation, Reno, NV, 89512, USA
| | - William J Metcalf
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.,Renown Institute of Health Innovation, Reno, NV, 89512, USA
| | | | - Donna M Fath
- Helix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA
| | - Efren Sandoval
- Helix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA
| | - Magnus Isaksson
- Helix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA
| | - Karen A Schlauch
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.,Renown Institute of Health Innovation, Reno, NV, 89512, USA
| | - Joseph J Grzymski
- Desert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.,Renown Institute of Health Innovation, Reno, NV, 89512, USA
| | - James T Lu
- Helix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA
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21
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Philippakis AA, Azzariti DR, Beltran S, Brookes AJ, Brownstein CA, Brudno M, Brunner HG, Buske OJ, Carey K, Doll C, Dumitriu S, Dyke SOM, den Dunnen JT, Firth HV, Gibbs RA, Girdea M, Gonzalez M, Haendel MA, Hamosh A, Holm IA, Huang L, Hurles ME, Hutton B, Krier JB, Misyura A, Mungall CJ, Paschall J, Paten B, Robinson PN, Schiettecatte F, Sobreira NL, Swaminathan GJ, Taschner PE, Terry SF, Washington NL, Züchner S, Boycott KM, Rehm HL. The Matchmaker Exchange: a platform for rare disease gene discovery. Hum Mutat 2016; 36:915-21. [PMID: 26295439 DOI: 10.1002/humu.22858] [Citation(s) in RCA: 340] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 07/21/2015] [Indexed: 12/21/2022]
Abstract
There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for "the needle in a haystack" to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease-specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can "match" these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.
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Affiliation(s)
- Anthony A Philippakis
- The Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Department of Cardiology, Brigham & Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Danielle R Azzariti
- Laboratory for Molecular Medicine, Partners Personalized Medicine, Boston, Massachusetts
| | - Sergi Beltran
- Centro Nacional de Análisis Genómico, Barcelona, Spain
| | | | - Catherine A Brownstein
- Harvard Medical School, Boston, Massachusetts.,Division of Genetics and Genomics and the Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts
| | - Michael Brudno
- Department of Computer Science, University of Toronto, Toronto, Canada.,Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Han G Brunner
- Radboud University Medical Center, Department of Human Genetics, Nijmegen 6500 HB, The Netherlands.,Maastricht University Medical Center, Department of Clinical Genetics, Maastricht 6202AZ, The Netherlands
| | - Orion J Buske
- Department of Computer Science, University of Toronto, Toronto, Canada.,Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | | | | | - Sergiu Dumitriu
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Stephanie O M Dyke
- Centre of Genomics and Policy, Faculty of Medicine, McGill University, Quebec, Canada
| | - Johan T den Dunnen
- Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Helen V Firth
- East Anglian Medical Genetics Service, Box 134, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, 77030
| | - Marta Girdea
- Department of Computer Science, University of Toronto, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | | | - Melissa A Haendel
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Ada Hamosh
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Ingrid A Holm
- Harvard Medical School, Boston, Massachusetts.,Division of Genetics and Genomics and the Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts
| | - Lijia Huang
- The Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Matthew E Hurles
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - Ben Hutton
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - Joel B Krier
- Harvard Medical School, Boston, Massachusetts.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, 02115
| | - Andriy Misyura
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | | | - Justin Paschall
- European Molecular Biology Laboratory European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, Santa Cruz, California
| | - Peter N Robinson
- Institute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin 13353, Germany.,Max Planck Institute for Molecular Genetics, Berlin 14195, Germany.,Institute for Bioinformatics, Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin 14195, Germany.,Berlin Brandenburg Center for Regenerative Therapies, Berlin 13353, Germany
| | | | - Nara L Sobreira
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Ganesh J Swaminathan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - Peter E Taschner
- Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.,Generade Center of Expertise Genomics, University of Applied Sciences Leiden, Leiden, The Netherlands
| | | | | | - Stephan Züchner
- Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Kym M Boycott
- Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Heidi L Rehm
- The Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Laboratory for Molecular Medicine, Partners Personalized Medicine, Boston, Massachusetts.,Department of Pathology, Brigham & Women's Hospital, Boston, Massachusetts
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22
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Smedley D, Jacobsen JOB, Jäger M, Köhler S, Holtgrewe M, Schubach M, Siragusa E, Zemojtel T, Buske OJ, Washington NL, Bone WP, Haendel MA, Robinson PN. Next-generation diagnostics and disease-gene discovery with the Exomiser. Nat Protoc 2015; 10:2004-15. [PMID: 26562621 DOI: 10.1038/nprot.2015.124] [Citation(s) in RCA: 210] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Exomiser is an application that prioritizes genes and variants in next-generation sequencing (NGS) projects for novel disease-gene discovery or differential diagnostics of Mendelian disease. Exomiser comprises a suite of algorithms for prioritizing exome sequences using random-walk analysis of protein interaction networks, clinical relevance and cross-species phenotype comparisons, as well as a wide range of other computational filters for variant frequency, predicted pathogenicity and pedigree analysis. In this protocol, we provide a detailed explanation of how to install Exomiser and use it to prioritize exome sequences in a number of scenarios. Exomiser requires ∼3 GB of RAM and roughly 15-90 s of computing time on a standard desktop computer to analyze a variant call format (VCF) file. Exomiser is freely available for academic use from http://www.sanger.ac.uk/science/tools/exomiser.
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Affiliation(s)
- Damian Smedley
- Skarnes Faculty Group, Wellcome Trust Sanger Institute, Hinxton, UK
| | | | - Marten Jäger
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Brandenburg Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Köhler
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Manuel Holtgrewe
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute for Health, Berlin, Germany
| | - Max Schubach
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Enrico Siragusa
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute for Health, Berlin, Germany.,Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Tomasz Zemojtel
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.,Labor Berlin - Charité Vivantes, Humangenetik, Berlin, Germany
| | - Orion J Buske
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nicole L Washington
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - William P Bone
- The National Institutes of Health (NIH) Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, Bethesda, Maryland, USA
| | - Melissa A Haendel
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health &Science University, Portland, Oregon, USA
| | - Peter N Robinson
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Brandenburg Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, Berlin, Germany.,Max Planck Institute for Molecular Genetics, Berlin, Germany.,Department of Mathematics and Computer Science, Institute for Bioinformatics, Freie Universität Berlin, Berlin, Germany
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23
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Mungall CJ, Washington NL, Nguyen-Xuan J, Condit C, Smedley D, Köhler S, Groza T, Shefchek K, Hochheiser H, Robinson PN, Lewis SE, Haendel MA. Use of model organism and disease databases to support matchmaking for human disease gene discovery. Hum Mutat 2015; 36:979-84. [PMID: 26269093 PMCID: PMC5473253 DOI: 10.1002/humu.22857] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 07/22/2015] [Indexed: 11/10/2022]
Abstract
The Matchmaker Exchange application programming interface (API) allows searching a patient's genotypic or phenotypic profiles across clinical sites, for the purposes of cohort discovery and variant disease causal validation. This API can be used not only to search for matching patients, but also to match against public disease and model organism data. This public disease data enable matching known diseases and variant-phenotype associations using phenotype semantic similarity algorithms developed by the Monarch Initiative. The model data can provide additional evidence to aid diagnosis, suggest relevant models for disease mechanism and treatment exploration, and identify collaborators across the translational divide. The Monarch Initiative provides an implementation of this API for searching multiple integrated sources of data that contextualize the knowledge about any given patient or patient family into the greater biomedical knowledge landscape. While this corpus of data can aid diagnosis, it is also the beginning of research to improve understanding of rare human diseases.
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Affiliation(s)
| | - Nicole L. Washington
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Jeremy Nguyen-Xuan
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Christopher Condit
- San Diego Supercomputing Center, UC San Diego, La Jolla, California, USA
| | - Damian Smedley
- Wellcome Trust Sanger Institute, Mouse Informatics group, Hinxton, UK
| | - Sebastian Köhler
- Charité - Universitätsmedizin Berlin, Institute for Medical and Human Genetics, Berlin, Germany
| | - Tudor Groza
- Garvan Institute, Kinghorn Centre for Clinical Genomics, Sydney, Australia
| | - Kent Shefchek
- Department of Biomedical Informatics and Clinical Epidemiology, Oregon Health and Science University
| | - Harry Hochheiser
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Peter N. Robinson
- Charité - Universitätsmedizin Berlin, Institute for Medical and Human Genetics, Berlin, Germany
| | - Suzanna E. Lewis
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Melissa A. Haendel
- Department of Biomedical Informatics and Clinical Epidemiology, Oregon Health and Science University
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24
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Buske OJ, Girdea M, Dumitriu S, Gallinger B, Hartley T, Trang H, Misyura A, Friedman T, Beaulieu C, Bone WP, Links AE, Washington NL, Haendel MA, Robinson PN, Boerkoel CF, Adams D, Gahl WA, Boycott KM, Brudno M. PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases. Hum Mutat 2015; 36:931-40. [PMID: 26251998 DOI: 10.1002/humu.22851] [Citation(s) in RCA: 101] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 07/28/2015] [Indexed: 01/18/2023]
Abstract
The discovery of disease-causing mutations typically requires confirmation of the variant or gene in multiple unrelated individuals, and a large number of rare genetic diseases remain unsolved due to difficulty identifying second families. To enable the secure sharing of case records by clinicians and rare disease scientists, we have developed the PhenomeCentral portal (https://phenomecentral.org). Each record includes a phenotypic description and relevant genetic information (exome or candidate genes). PhenomeCentral identifies similar patients in the database based on semantic similarity between clinical features, automatically prioritized genes from whole-exome data, and candidate genes entered by the users, enabling both hypothesis-free and hypothesis-driven matchmaking. Users can then contact other submitters to follow up on promising matches. PhenomeCentral incorporates data for over 1,000 patients with rare genetic diseases, contributed by the FORGE and Care4Rare Canada projects, the US NIH Undiagnosed Diseases Program, the EU Neuromics and ANDDIrare projects, as well as numerous independent clinicians and scientists. Though the majority of these records have associated exome data, most lack a molecular diagnosis. PhenomeCentral has already been used to identify causative mutations for several patients, and its ability to find matching patients and diagnose these diseases will grow with each additional patient that is entered.
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Affiliation(s)
- Orion J Buske
- Department of Computer Science, University of Toronto, Toronto, Canada.,Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Marta Girdea
- Department of Computer Science, University of Toronto, Toronto, Canada.,Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Sergiu Dumitriu
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Bailey Gallinger
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.,Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Heather Trang
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.,Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Andriy Misyura
- Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Tal Friedman
- Department of Computer Science, University of Toronto, Toronto, Canada
| | - Chandree Beaulieu
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - William P Bone
- Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - Amanda E Links
- Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - Nicole L Washington
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California
| | - Melissa A Haendel
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Peter N Robinson
- Institute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Cornelius F Boerkoel
- Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - David Adams
- Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - William A Gahl
- Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, Maryland
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Michael Brudno
- Department of Computer Science, University of Toronto, Toronto, Canada.,Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.,Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada
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25
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Groza T, Köhler S, Moldenhauer D, Vasilevsky N, Baynam G, Zemojtel T, Schriml LM, Kibbe WA, Schofield PN, Beck T, Vasant D, Brookes AJ, Zankl A, Washington NL, Mungall CJ, Lewis SE, Haendel MA, Parkinson H, Robinson PN. The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease. Am J Hum Genet 2015; 97:111-24. [PMID: 26119816 PMCID: PMC4572507 DOI: 10.1016/j.ajhg.2015.05.020] [Citation(s) in RCA: 149] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 05/22/2015] [Indexed: 12/24/2022] Open
Abstract
The Human Phenotype Ontology (HPO) is widely used in the rare disease community for differential diagnostics, phenotype-driven analysis of next-generation sequence-variation data, and translational research, but a comparable resource has not been available for common disease. Here, we have developed a concept-recognition procedure that analyzes the frequencies of HPO disease annotations as identified in over five million PubMed abstracts by employing an iterative procedure to optimize precision and recall of the identified terms. We derived disease models for 3,145 common human diseases comprising a total of 132,006 HPO annotations. The HPO now comprises over 250,000 phenotypic annotations for over 10,000 rare and common diseases and can be used for examining the phenotypic overlap among common diseases that share risk alleles, as well as between Mendelian diseases and common diseases linked by genomic location. The annotations, as well as the HPO itself, are freely available.
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Affiliation(s)
- Tudor Groza
- School of Information Technology and Electrical Engineering, University of Queensland, St. Lucia, QLD 4072, Australia; Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia
| | - Sebastian Köhler
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Dawid Moldenhauer
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; University of Applied Sciences, Wiesenstrasse 14, 35390 Giessen, Germany
| | - Nicole Vasilevsky
- Library, Oregon Health & Science University, Portland, OR 97239, USA
| | - Gareth Baynam
- School of Paediatrics and Child Health, University of Western Australia, Perth, WA 6840, Australia; Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA 6150, Australia; Office of Population Health Genomics, Public Health and Clinical Services Division, Department of Health, Perth, WA 6004, Australia; Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, WA 6008, Australia; Telethon Kids Institute, Perth, WA 6008, Australia
| | - Tomasz Zemojtel
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznań, Poland
| | - Lynn Marie Schriml
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD 21201, USA; Institute for Genome Sciences, School of Medicine, University of Maryland, Baltimore, MD 21201, USA
| | - Warren Alden Kibbe
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Paul N Schofield
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UK; The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Tim Beck
- Department of Genetics, University of Leicester, Leicester LE1 7RH, UK
| | - Drashtti Vasant
- European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD UK
| | - Anthony J Brookes
- Department of Genetics, University of Leicester, Leicester LE1 7RH, UK
| | - Andreas Zankl
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia; Academic Department of Medical Genetics, The Children's Hospital at Westmead, Sydney, NSW 2145, Australia; Discipline of Genetic Medicine, Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
| | - Nicole L Washington
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Christopher J Mungall
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Suzanna E Lewis
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Melissa A Haendel
- Library, Oregon Health & Science University, Portland, OR 97239, USA
| | - Helen Parkinson
- European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD UK
| | - Peter N Robinson
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany; Berlin Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; Institute of Bioinformatics, Department of Mathematics and Computer Science, Freie Universität Berlin, Takustrasse 9, 14195 Berlin, Germany.
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26
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Ibn-Salem J, Köhler S, Love MI, Chung HR, Huang N, Hurles ME, Haendel M, Washington NL, Smedley D, Mungall CJ, Lewis SE, Ott CE, Bauer S, Schofield PN, Mundlos S, Spielmann M, Robinson PN. Deletions of chromosomal regulatory boundaries are associated with congenital disease. Genome Biol 2014; 15:423. [PMID: 25315429 PMCID: PMC4180961 DOI: 10.1186/s13059-014-0423-1] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Accepted: 07/24/2014] [Indexed: 12/21/2022] Open
Abstract
Background Recent data from genome-wide chromosome conformation capture analysis indicate that the human genome is divided into conserved megabase-sized self-interacting regions called topological domains. These topological domains form the regulatory backbone of the genome and are separated by regulatory boundary elements or barriers. Copy-number variations can potentially alter the topological domain architecture by deleting or duplicating the barriers and thereby allowing enhancers from neighboring domains to ectopically activate genes causing misexpression and disease, a mutational mechanism that has recently been termed enhancer adoption. Results We use the Human Phenotype Ontology database to relate the phenotypes of 922 deletion cases recorded in the DECIPHER database to monogenic diseases associated with genes in or adjacent to the deletions. We identify combinations of tissue-specific enhancers and genes adjacent to the deletion and associated with phenotypes in the corresponding tissue, whereby the phenotype matched that observed in the deletion. We compare this computationally with a gene-dosage pathomechanism that attempts to explain the deletion phenotype based on haploinsufficiency of genes located within the deletions. Up to 11.8% of the deletions could be best explained by enhancer adoption or a combination of enhancer adoption and gene-dosage effects. Conclusions Our results suggest that enhancer adoption caused by deletions of regulatory boundaries may contribute to a substantial minority of copy-number variation phenotypes and should thus be taken into account in their medical interpretation. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0423-1) contains supplementary material, which is available to authorized users.
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27
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Contrino S, Smith RN, Butano D, Carr A, Hu F, Lyne R, Rutherford K, Kalderimis A, Sullivan J, Carbon S, Kephart ET, Lloyd P, Stinson EO, Washington NL, Perry MD, Ruzanov P, Zha Z, Lewis SE, Stein LD, Micklem G. modMine: flexible access to modENCODE data. Nucleic Acids Res 2011; 40:D1082-8. [PMID: 22080565 PMCID: PMC3245176 DOI: 10.1093/nar/gkr921] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
In an effort to comprehensively characterize the functional elements within the genomes of the important model organisms Drosophila melanogaster and Caenorhabditis elegans, the NHGRI model organism Encyclopaedia of DNA Elements (modENCODE) consortium has generated an enormous library of genomic data along with detailed, structured information on all aspects of the experiments. The modMine database (http://intermine.modencode.org) described here has been built by the modENCODE Data Coordination Center to allow the broader research community to (i) search for and download data sets of interest among the thousands generated by modENCODE; (ii) access the data in an integrated form together with non-modENCODE data sets; and (iii) facilitate fine-grained analysis of the above data. The sophisticated search features are possible because of the collection of extensive experimental metadata by the consortium. Interfaces are provided to allow both biologists and bioinformaticians to exploit these rich modENCODE data sets now available via modMine.
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Affiliation(s)
- Sergio Contrino
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK
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28
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Washington NL, Stinson EO, Perry MD, Ruzanov P, Contrino S, Smith R, Zha Z, Lyne R, Carr A, Lloyd P, Kephart E, McKay SJ, Micklem G, Stein LD, Lewis SE. The modENCODE Data Coordination Center: lessons in harvesting comprehensive experimental details. Database (Oxford) 2011; 2011:bar023. [PMID: 21856757 PMCID: PMC3170170 DOI: 10.1093/database/bar023] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The model organism Encyclopedia of DNA Elements (modENCODE) project is a National Human Genome Research Institute (NHGRI) initiative designed to characterize the genomes of Drosophila melanogaster and Caenorhabditis elegans. A Data Coordination Center (DCC) was created to collect, store and catalog modENCODE data. An effective DCC must gather, organize and provide all primary, interpreted and analyzed data, and ensure the community is supplied with the knowledge of the experimental conditions, protocols and verification checks used to generate each primary data set. We present here the design principles of the modENCODE DCC, and describe the ramifications of collecting thorough and deep metadata for describing experiments, including the use of a wiki for capturing protocol and reagent information, and the BIR-TAB specification for linking biological samples to experimental results. modENCODE data can be found at http://www.modencode.org.
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Affiliation(s)
- Nicole L Washington
- Lawrence Berkeley National Laboratory, Genomics Division, 1 Cyclotron Road MS64-121, Berkeley, CA 94720, USA
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29
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Gerstein MB, Lu ZJ, Van Nostrand EL, Cheng C, Arshinoff BI, Liu T, Yip KY, Robilotto R, Rechtsteiner A, Ikegami K, Alves P, Chateigner A, Perry M, Morris M, Auerbach RK, Feng X, Leng J, Vielle A, Niu W, Rhrissorrakrai K, Agarwal A, Alexander RP, Barber G, Brdlik CM, Brennan J, Brouillet JJ, Carr A, Cheung MS, Clawson H, Contrino S, Dannenberg LO, Dernburg AF, Desai A, Dick L, Dosé AC, Du J, Egelhofer T, Ercan S, Euskirchen G, Ewing B, Feingold EA, Gassmann R, Good PJ, Green P, Gullier F, Gutwein M, Guyer MS, Habegger L, Han T, Henikoff JG, Henz SR, Hinrichs A, Holster H, Hyman T, Iniguez AL, Janette J, Jensen M, Kato M, Kent WJ, Kephart E, Khivansara V, Khurana E, Kim JK, Kolasinska-Zwierz P, Lai EC, Latorre I, Leahey A, Lewis S, Lloyd P, Lochovsky L, Lowdon RF, Lubling Y, Lyne R, MacCoss M, Mackowiak SD, Mangone M, McKay S, Mecenas D, Merrihew G, Miller DM, Muroyama A, Murray JI, Ooi SL, Pham H, Phippen T, Preston EA, Rajewsky N, Rätsch G, Rosenbaum H, Rozowsky J, Rutherford K, Ruzanov P, Sarov M, Sasidharan R, Sboner A, Scheid P, Segal E, Shin H, Shou C, Slack FJ, Slightam C, Smith R, Spencer WC, Stinson EO, Taing S, Takasaki T, Vafeados D, Voronina K, Wang G, Washington NL, Whittle CM, Wu B, Yan KK, Zeller G, Zha Z, Zhong M, Zhou X, Ahringer J, Strome S, Gunsalus KC, Micklem G, Liu XS, Reinke V, Kim SK, Hillier LW, Henikoff S, Piano F, Snyder M, Stein L, Lieb JD, Waterston RH. Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project. Science 2010; 330:1775-87. [PMID: 21177976 PMCID: PMC3142569 DOI: 10.1126/science.1196914] [Citation(s) in RCA: 741] [Impact Index Per Article: 52.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.
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Affiliation(s)
- Mark B. Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06511, USA
| | - Zhi John Lu
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Eric L. Van Nostrand
- Department of Genetics, Stanford University Medical Center, Stanford, CA 94305, USA
| | - Chao Cheng
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Bradley I. Arshinoff
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
- Department of Molecular Genetics, University of Toronto, 27 King's College Circle, Toronto, Ontario M5S 1A1, Canada
| | - Tao Liu
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA
- Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Kevin Y. Yip
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Rebecca Robilotto
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Andreas Rechtsteiner
- Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kohta Ikegami
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Pedro Alves
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Aurelien Chateigner
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Marc Perry
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
| | - Mitzi Morris
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Raymond K. Auerbach
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Xin Feng
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
- Department of Biomedical Engineering, State University of New York at Stonybrook, Stonybrook, NY 11794, USA
| | - Jing Leng
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Anne Vielle
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Wei Niu
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06824, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520–8005, USA
| | - Kahn Rhrissorrakrai
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Ashish Agarwal
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06511, USA
| | - Roger P. Alexander
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Galt Barber
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064 USA
| | - Cathleen M. Brdlik
- Department of Genetics, Stanford University Medical Center, Stanford, CA 94305, USA
| | - Jennifer Brennan
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Adrian Carr
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Ming-Sin Cheung
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Hiram Clawson
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064 USA
| | - Sergio Contrino
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | | | - Abby F. Dernburg
- Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA, and Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Arshad Desai
- Ludwig Institute Cancer Research/Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0653, USA
| | - Lindsay Dick
- David Rockefeller Graduate Program, Rockefeller University, 1230 York Avenue New York, NY 10065, USA
| | - Andréa C. Dosé
- Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA, and Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Jiang Du
- Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06511, USA
| | - Thea Egelhofer
- Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sevinc Ercan
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ghia Euskirchen
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06824, USA
| | - Brent Ewing
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Elise A. Feingold
- Division of Extramural Research, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, Bethesda, MD 20892–9305, USA
| | - Reto Gassmann
- Ludwig Institute Cancer Research/Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0653, USA
| | - Peter J. Good
- Division of Extramural Research, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, Bethesda, MD 20892–9305, USA
| | - Phil Green
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Francois Gullier
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Michelle Gutwein
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Mark S. Guyer
- Division of Extramural Research, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, Bethesda, MD 20892–9305, USA
| | - Lukas Habegger
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Ting Han
- Life Sciences Institute, Department of Human Genetics, University of Michigan, 210 Washtenaw Avenue, Ann Arbor, MI 48109–2216, USA
| | - Jorja G. Henikoff
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
| | - Stefan R. Henz
- Max Planck Institute for Developmental Biology, Spemannstrasse 37-39, 72076 Tübingen, Germany
| | - Angie Hinrichs
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064 USA
| | - Heather Holster
- Roche NimbleGen, 500 South Rosa Road, Madison, WI 53719, USA
| | - Tony Hyman
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - A. Leo Iniguez
- Roche NimbleGen, 500 South Rosa Road, Madison, WI 53719, USA
| | - Judith Janette
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520–8005, USA
| | - Morten Jensen
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Masaomi Kato
- Department of Molecular, Cellular and Developmental Biology, Post Office Box 208103, Yale University, New Haven, CT 06520, USA
| | - W. James Kent
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064 USA
| | - Ellen Kephart
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
| | - Vishal Khivansara
- Life Sciences Institute, Department of Human Genetics, University of Michigan, 210 Washtenaw Avenue, Ann Arbor, MI 48109–2216, USA
| | - Ekta Khurana
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - John K. Kim
- Life Sciences Institute, Department of Human Genetics, University of Michigan, 210 Washtenaw Avenue, Ann Arbor, MI 48109–2216, USA
| | - Paulina Kolasinska-Zwierz
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Eric C. Lai
- Sloan-Kettering Institute, 1275 York Avenue, Post Office Box 252, New York, NY 10065, USA
| | - Isabel Latorre
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Amber Leahey
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Suzanna Lewis
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 64-121, Berkeley, CA 94720 USA
| | - Paul Lloyd
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
| | - Lucas Lochovsky
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Rebecca F. Lowdon
- Division of Extramural Research, National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Suite 4076, Bethesda, MD 20892–9305, USA
| | - Yaniv Lubling
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Rachel Lyne
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Michael MacCoss
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Sebastian D. Mackowiak
- Max-Delbrück-Centrum für Molekulare Medizin, Division of Systems Biology, Robert-Rössle-Strasse 10, D-13125 Berlin-Buch, Germany
| | - Marco Mangone
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Sheldon McKay
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11542 USA
| | - Desirea Mecenas
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Gennifer Merrihew
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - David M. Miller
- Department of Cell and Developmental Biology, Vanderbilt University, 465 21st Avenue South, Nashville, TN 37232–8240, USA
| | - Andrew Muroyama
- Ludwig Institute Cancer Research/Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0653, USA
| | - John I. Murray
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Siew-Loon Ooi
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
| | - Hoang Pham
- Howard Hughes Medical Institute, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA, and Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Taryn Phippen
- Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Elicia A. Preston
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Nikolaus Rajewsky
- Max-Delbrück-Centrum für Molekulare Medizin, Division of Systems Biology, Robert-Rössle-Strasse 10, D-13125 Berlin-Buch, Germany
| | - Gunnar Rätsch
- Friedrich Miescher Laboratory of the Max Planck Society, Spemannstrasse 39, 72076 Tübingen, Germany
| | - Heidi Rosenbaum
- Roche NimbleGen, 500 South Rosa Road, Madison, WI 53719, USA
| | - Joel Rozowsky
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Kim Rutherford
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Peter Ruzanov
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
| | - Mihail Sarov
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Rajkumar Sasidharan
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Andrea Sboner
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Paul Scheid
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Hyunjin Shin
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA
- Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Chong Shou
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Frank J. Slack
- Department of Molecular, Cellular and Developmental Biology, Post Office Box 208103, Yale University, New Haven, CT 06520, USA
| | - Cindie Slightam
- Department of Developmental Biology, Stanford University Medical Center, 279 Campus Drive, Stanford, CA 94305–5329, USA
| | - Richard Smith
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - William C. Spencer
- Department of Cell and Developmental Biology, Vanderbilt University, 465 21st Avenue South, Nashville, TN 37232–8240, USA
| | - E. O. Stinson
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 64-121, Berkeley, CA 94720 USA
| | - Scott Taing
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA
| | - Teruaki Takasaki
- Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Dionne Vafeados
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Ksenia Voronina
- Ludwig Institute Cancer Research/Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0653, USA
| | - Guilin Wang
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520–8005, USA
| | - Nicole L. Washington
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 64-121, Berkeley, CA 94720 USA
| | - Christina M. Whittle
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Beijing Wu
- Department of Developmental Biology, Stanford University Medical Center, 279 Campus Drive, Stanford, CA 94305–5329, USA
| | - Koon-Kiu Yan
- Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA
| | - Georg Zeller
- Friedrich Miescher Laboratory of the Max Planck Society, Spemannstrasse 39, 72076 Tübingen, Germany
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Zheng Zha
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
| | - Mei Zhong
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06824, USA
| | - Xingliang Zhou
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Julie Ahringer
- Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Susan Strome
- Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kristin C. Gunsalus
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
- New York University, Abu Dhabi, United Arab Emirates
| | - Gos Micklem
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK, and Cambridge Systems Biology Centre, Tennis Court Road, Cambridge CB2 1QR, UK
| | - X. Shirley Liu
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA
- Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Valerie Reinke
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520–8005, USA
| | - Stuart K. Kim
- Department of Genetics, Stanford University Medical Center, Stanford, CA 94305, USA
- Department of Developmental Biology, Stanford University Medical Center, 279 Campus Drive, Stanford, CA 94305–5329, USA
| | - LaDeana W. Hillier
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
| | - Steven Henikoff
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA
| | - Fabio Piano
- Center for Genomics and Systems Biology, Department of Biology, New York University, 1009 Silver Center, 100 Washington Square East, New York, NY 10003–6688, USA
- New York University, Abu Dhabi, United Arab Emirates
| | - Michael Snyder
- Department of Genetics, Stanford University Medical Center, Stanford, CA 94305, USA
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06824, USA
| | - Lincoln Stein
- Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada
- Department of Molecular Genetics, University of Toronto, 27 King's College Circle, Toronto, Ontario M5S 1A1, Canada
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11542 USA
| | - Jason D. Lieb
- Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Robert H. Waterston
- Department of Genome Sciences, University of Washington School of Medicine, William H. Foege Building S350D, 1705 NE Pacific Street, Post Office Box 355065, Seattle, WA 98195–5065, USA
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Roy S, Ernst J, Kharchenko PV, Kheradpour P, Negre N, Eaton ML, Landolin JM, Bristow CA, Ma L, Lin MF, Washietl S, Arshinoff BI, Ay F, Meyer PE, Robine N, Washington NL, Di Stefano L, Berezikov E, Brown CD, Candeias R, Carlson JW, Carr A, Jungreis I, Marbach D, Sealfon R, Tolstorukov MY, Will S, Alekseyenko AA, Artieri C, Booth BW, Brooks AN, Dai Q, Davis CA, Duff MO, Feng X, Gorchakov AA, Gu T, Henikoff JG, Kapranov P, Li R, MacAlpine HK, Malone J, Minoda A, Nordman J, Okamura K, Perry M, Powell SK, Riddle NC, Sakai A, Samsonova A, Sandler JE, Schwartz YB, Sher N, Spokony R, Sturgill D, van Baren M, Wan KH, Yang L, Yu C, Feingold E, Good P, Guyer M, Lowdon R, Ahmad K, Andrews J, Berger B, Brenner SE, Brent MR, Cherbas L, Elgin SCR, Gingeras TR, Grossman R, Hoskins RA, Kaufman TC, Kent W, Kuroda MI, Orr-Weaver T, Perrimon N, Pirrotta V, Posakony JW, Ren B, Russell S, Cherbas P, Graveley BR, Lewis S, Micklem G, Oliver B, Park PJ, Celniker SE, Henikoff S, Karpen GH, Lai EC, MacAlpine DM, Stein LD, White KP, Kellis M. Identification of functional elements and regulatory circuits by Drosophila modENCODE. Science 2010; 330:1787-97. [PMID: 21177974 DOI: 10.1126/science.1198374] [Citation(s) in RCA: 899] [Impact Index Per Article: 64.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.
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Affiliation(s)
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- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
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Washington NL, Haendel MA, Mungall CJ, Ashburner M, Westerfield M, Lewis SE. Linking human diseases to animal models using ontology-based phenotype annotation. PLoS Biol 2009; 7:e1000247. [PMID: 19956802 PMCID: PMC2774506 DOI: 10.1371/journal.pbio.1000247] [Citation(s) in RCA: 223] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2009] [Accepted: 10/13/2009] [Indexed: 11/18/2022] Open
Abstract
A novel method for quantifying the similarity between phenotypes by the use of ontologies can be used to search for candidate genes, pathway members, and human disease models on the basis of phenotypes alone. Scientists and clinicians who study genetic alterations and disease have traditionally described phenotypes in natural language. The considerable variation in these free-text descriptions has posed a hindrance to the important task of identifying candidate genes and models for human diseases and indicates the need for a computationally tractable method to mine data resources for mutant phenotypes. In this study, we tested the hypothesis that ontological annotation of disease phenotypes will facilitate the discovery of new genotype-phenotype relationships within and across species. To describe phenotypes using ontologies, we used an Entity-Quality (EQ) methodology, wherein the affected entity (E) and how it is affected (Q) are recorded using terms from a variety of ontologies. Using this EQ method, we annotated the phenotypes of 11 gene-linked human diseases described in Online Mendelian Inheritance in Man (OMIM). These human annotations were loaded into our Ontology-Based Database (OBD) along with other ontology-based phenotype descriptions of mutants from various model organism databases. Phenotypes recorded with this EQ method can be computationally compared based on the hierarchy of terms in the ontologies and the frequency of annotation. We utilized four similarity metrics to compare phenotypes and developed an ontology of homologous and analogous anatomical structures to compare phenotypes between species. Using these tools, we demonstrate that we can identify, through the similarity of the recorded phenotypes, other alleles of the same gene, other members of a signaling pathway, and orthologous genes and pathway members across species. We conclude that EQ-based annotation of phenotypes, in conjunction with a cross-species ontology, and a variety of similarity metrics can identify biologically meaningful similarities between genes by comparing phenotypes alone. This annotation and search method provides a novel and efficient means to identify gene candidates and animal models of human disease, which may shorten the lengthy path to identification and understanding of the genetic basis of human disease. Model organisms such as fruit flies, mice, and zebrafish are useful for investigating gene function because they are easy to grow, dissect, and genetically manipulate in the laboratory. By examining mutations in these organisms, one can identify candidate genes that cause disease in humans, and develop models to better understand human disease and gene function. A fundamental roadblock for analysis is, however, the lack of a computational method for describing and comparing phenotypes of mutant animals and of human diseases when the genetic basis is unknown. We describe here a novel method using ontologies to record and quantify the similarity between phenotypes. We tested our method by using the annotated mutant phenotype of one member of the Hedgehog signaling pathway in zebrafish to identify other pathway members with similar recorded phenotypes. We also compared human disease phenotypes to those produced by mutation in model organisms, and show that orthologous and biologically relevant genes can be identified by this method. Given that the genetic basis of human disease is often unknown, this method provides a means for identifying candidate genes, pathway members, and disease models by computationally identifying similar phenotypes within and across species.
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Affiliation(s)
- Nicole L Washington
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Abstract
FER-1 is required for fusion of specialized vesicles, called membranous organelles, with the sperm plasma membrane during Caenorhabditis elegans spermiogenesis. To investigate its role in membranous organelle fusion, we examined ten fer-1 mutations and found that they all cause the same defect in membrane fusion. FER-1 and the ferlin protein family are membrane proteins with four to seven C2 domains. These domains commonly mediate Ca2+ -dependent lipid-processing events. Most of the fer-1 mutations fall within these C2 domains, showing that they have distinct, non-redundant functions. We found that membranous organelle fusion requires intracellular Ca2+ and that C2 domain mutations alter Ca2+ sensitivity. This suggests that the C2 domains are involved in Ca2+ sensing and further supports their independent function. Using two immunological approaches we found three FER-1 isoforms, two of which might arise from FER-1 by proteolysis. By both light and electron microscopy, these FER-1 proteins were found to be localized to membranous organelle membranes. Dysferlin, a human homologue of FER-1 involved in muscular dystrophy, is required for vesicle fusion during Ca2+ -induced muscle membrane repair. Our results suggest that the ferlin family members share a conserved mechanism to regulate cell-type-specific membrane fusion.
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Affiliation(s)
- Nicole L Washington
- Department of Molecular and Cellular Biology, The University of Arizona, 1007 E. Lowell Street, Life Sciences South 452, Tucson, AZ, 85721, USA
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