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Sarovic D. Commentary: Autism: A model of neurodevelopmental diversity informed by genomics. Front Psychiatry 2023; 14:1113592. [PMID: 36761863 PMCID: PMC9902494 DOI: 10.3389/fpsyt.2023.1113592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/09/2023] [Indexed: 01/25/2023] Open
Affiliation(s)
- Darko Sarovic
- Gillberg Neuropsychiatry Centre, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Harvard Medical School, Boston, MA, United States.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.,Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden.,MedTech West, Gothenburg, Sweden
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2
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Oheim R, Tsourdi E, Seefried L, Beller G, Schubach M, Vettorazzi E, Stürznickel J, Rolvien T, Ehmke N, Delsmann A, Genest F, Krüger U, Zemojtel T, Barvencik F, Schinke T, Jakob F, Hofbauer LC, Mundlos S, Kornak U. Genetic Diagnostics in Routine Osteological Assessment of Adult Low Bone Mass Disorders. J Clin Endocrinol Metab 2022; 107:e3048-e3057. [PMID: 35276006 PMCID: PMC9202726 DOI: 10.1210/clinem/dgac147] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Indexed: 12/17/2022]
Abstract
CONTEXT Many different inherited and acquired conditions can result in premature bone fragility/low bone mass disorders (LBMDs). OBJECTIVE We aimed to elucidate the impact of genetic testing on differential diagnosis of adult LBMDs and at defining clinical criteria for predicting monogenic forms. METHODS Four clinical centers broadly recruited a cohort of 394 unrelated adult women before menopause and men younger than 55 years with a bone mineral density (BMD) Z-score < -2.0 and/or pathological fractures. After exclusion of secondary causes or unequivocal clinical/biochemical hallmarks of monogenic LBMDs, all participants were genotyped by targeted next-generation sequencing. RESULTS In total, 20.8% of the participants carried rare disease-causing variants (DCVs) in genes known to cause osteogenesis imperfecta (COL1A1, COL1A2), hypophosphatasia (ALPL), and early-onset osteoporosis (LRP5, PLS3, and WNT1). In addition, we identified rare DCVs in ENPP1, LMNA, NOTCH2, and ZNF469. Three individuals had autosomal recessive, 75 autosomal dominant, and 4 X-linked disorders. A total of 9.7% of the participants harbored variants of unknown significance. A regression analysis revealed that the likelihood of detecting a DCV correlated with a positive family history of osteoporosis, peripheral fractures (> 2), and a high normal body mass index (BMI). In contrast, mutation frequencies did not correlate with age, prevalent vertebral fractures, BMD, or biochemical parameters. In individuals without monogenic disease-causing rare variants, common variants predisposing for low BMD (eg, in LRP5) were overrepresented. CONCLUSION The overlapping spectra of monogenic adult LBMD can be easily disentangled by genetic testing and the proposed clinical criteria can help to maximize the diagnostic yield.
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Affiliation(s)
- Ralf Oheim
- Ralf Oheim, MD, Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Lottestraße 59, 22529 Hamburg, Germany.
| | - Elena Tsourdi
- Department of Medicine III, Technische Universität Dresden Medical Center, 01307 Dresden, Germany
- Center for Healthy Aging, Technische Universität Dresden Medical Center, 01307 Dresden, Germany
| | - Lothar Seefried
- Orthopedic Center for Musculoskeletal Research, Orthopedic Department, University of Würzburg, 97070 Würzburg, Germany
| | - Gisela Beller
- Centre of Muscle and Bone Research, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Max Schubach
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Eik Vettorazzi
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Julian Stürznickel
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany
- Department of Orthopaedics and Trauma Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Tim Rolvien
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany
- Department of Orthopaedics and Trauma Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Nadja Ehmke
- Institute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Alena Delsmann
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany
| | - Franca Genest
- Orthopedic Center for Musculoskeletal Research, Orthopedic Department, University of Würzburg, 97070 Würzburg, Germany
| | - Ulrike Krüger
- Core Facility Genomics, Berlin Institute of Health (BIH), 10178 Berlin, Germany
| | - Tomasz Zemojtel
- Core Facility Genomics, Berlin Institute of Health (BIH), 10178 Berlin, Germany
| | - Florian Barvencik
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany
| | - Thorsten Schinke
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 22529 Hamburg, Germany
| | - Franz Jakob
- Orthopedic Center for Musculoskeletal Research, Orthopedic Department, University of Würzburg, 97070 Würzburg, Germany
| | - Lorenz C Hofbauer
- Department of Medicine III, Technische Universität Dresden Medical Center, 01307 Dresden, Germany
- Center for Healthy Aging, Technische Universität Dresden Medical Center, 01307 Dresden, Germany
| | - Stefan Mundlos
- Institute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
- BIH Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10178 Berlin, Germany
- Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Uwe Kornak
- Correspondence: Uwe Kornak, PhD, Institute of Human Genetics, Universitätsmedizin Göttingen, Heinrich-Düker-Weg 12, 37073 Göttingen, Germany.
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Bomba L, Walter K, Guo Q, Surendran P, Kundu K, Nongmaithem S, Karim MA, Stewart ID, Langenberg C, Danesh J, Di Angelantonio E, Roberts DJ, Ouwehand WH, Dunham I, Butterworth AS, Soranzo N. Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites. Am J Hum Genet 2022; 109:1038-1054. [PMID: 35568032 PMCID: PMC9247822 DOI: 10.1016/j.ajhg.2022.04.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/13/2022] [Indexed: 12/11/2022] Open
Abstract
Metabolite levels measured in the human population are endophenotypes for biological processes. We combined sequencing data for 3,924 (whole-exome sequencing, WES, discovery) and 2,805 (whole-genome sequencing, WGS, replication) donors from a prospective cohort of blood donors in England. We used multiple approaches to select and aggregate rare genetic variants (minor allele frequency [MAF] < 0.1%) in protein-coding regions and tested their associations with 995 metabolites measured in plasma by using ultra-high-performance liquid chromatography-tandem mass spectrometry. We identified 40 novel associations implicating rare coding variants (27 genes and 38 metabolites), of which 28 (15 genes and 28 metabolites) were replicated. We developed algorithms to prioritize putative driver variants at each locus and used mediation and Mendelian randomization analyses to test directionality at associations of metabolite and protein levels at the ACY1 locus. Overall, 66% of reported associations implicate gene targets of approved drugs or bioactive drug-like compounds, contributing to drug targets' validating efforts.
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Affiliation(s)
- Lorenzo Bomba
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Klaudia Walter
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Qi Guo
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Kousik Kundu
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Suraj Nongmaithem
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Mohd Anisul Karim
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Isobel D Stewart
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0SL, UK; Computational Medicine, Berlin Institute of Health at Charité - Utniversitätsmedizin Berlin, Berlin 10117, Germany
| | - John Danesh
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK; Human Technopole, Palazzo Italia, Viale Rita Levi-Montalcini 1, 20157 Milan, Italy
| | - David J Roberts
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; NHS Blood and Transplant-Oxford Centre, Level 2, John Radcliffe Hospital, Oxford OX3 9BQ, UK; Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9BQ, UK
| | - Willem H Ouwehand
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK
| | | | - Ian Dunham
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK
| | - Nicole Soranzo
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SD, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Human Technopole, Palazzo Italia, Viale Rita Levi-Montalcini 1, 20157 Milan, Italy.
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Wannowius M, Karakus E, Geyer J. Functional Analysis of Rare Genetic Variants in the Negative Regulator of Intracellular Calcium Signaling RCAS/SLC10A7. Front Mol Biosci 2021; 8:741946. [PMID: 34671644 PMCID: PMC8521665 DOI: 10.3389/fmolb.2021.741946] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/15/2021] [Indexed: 12/05/2022] Open
Abstract
The solute carrier family 10 member SLC10A7 is a negative regulator of intracellular calcium signaling (RCAS). In cell culture, SLC10A7 expression is negatively correlated with store-operated calcium entry (SOCE) via the plasma membrane. SLC10A7-deficient cells have significantly increased calcium influx after treatment with thapsigargin for depletion of ER calcium stores, whereas SLC10A7/RCAS overexpression limits calcium influx. Genetic variants in the human SLC10A7 gene are associated with skeletal dysplasia and amelogenesis imperfecta and reveal loss of function on cellular calcium influx. More recently, an additional disease-related genetic variant (P303L) as well as some novel genetic variants (V235F, T221M, I136M, L210F, P285L, and G146S) have been identified. In the present study, these variants were expressed in HEK293 cells to study their subcellular localization and their effect on cellular calcium influx. All variants were properly sorted to the ER compartment and closely co-localized with the STIM protein, a functional component of SOCE. The variants P303L and L210F showed significantly reduced effects on cellular calcium influx compared to the wild type but still maintained some degree of residual activity. This might explain the milder phenotype of patients bearing the P303L variant and might indicate disease potential for the newly identified L210F variant. In contrast, all other variants behaved like the wild type. In conclusion, the occurrence of variants in the SLC10A7 gene should be considered in patients with skeletal dysplasia and amelogenesis imperfecta. In addition to the already established variants, the present study identifies another potential disease-related SLC10A7/RCAS variant, namely, L210F, which seems to be most frequent in South Asian populations.
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Affiliation(s)
- Marie Wannowius
- Institute of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany
| | - Emre Karakus
- Institute of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany
| | - Joachim Geyer
- Institute of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Justus Liebig University Giessen, Giessen, Germany
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Li J, Yang S, Pu Z, Dai J, Jiang T, Du F, Jiang Z, Cheng Y, Dai G, Wang J, Qi J, Cao L, Cheng X, Ren C, Li X, Qin Y. Whole-exome sequencing identifies SGCD and ACVRL1 mutations associated with total anomalous pulmonary venous return (TAPVR) in Chinese population. Oncotarget 2018; 8:27812-27819. [PMID: 28412737 PMCID: PMC5438610 DOI: 10.18632/oncotarget.15434] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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: 08/01/2016] [Accepted: 02/06/2017] [Indexed: 12/30/2022] Open
Abstract
As a rare type of Congenital Heart Defects (CHD), the genetic mechanism of Total Anomalous Pulmonary Venous Return (TAPVR) remains unknown, although previous studies have revealed potential disease-driving regions/genes. Blood samples collected from the 6 sporadic TAPVR cases and 81 non-TAPVR controls were subjected to whole exome sequencing. All detected variations were confirmed by direct Sanger sequencing. Here, we identified 2 non-synonymous missense mutations: c.C652T, p.R218W in activin A receptor type II-like 1 (ACVRL1), c.C717G, p.D239E in sarcoglycan delta (SGCD). Our results offered the landscape of mutations for TAPVR in Chinese population firstly and are valuable in the mutation-based pre- and post-natal screening and genetic diagnosis for TAPVR.
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Affiliation(s)
- Jun Li
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Shiwei Yang
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Zhening Pu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Tao Jiang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Fangzhi Du
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhu Jiang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yue Cheng
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Genyin Dai
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Jun Wang
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Jirong Qi
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Liming Cao
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Xueying Cheng
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Cong Ren
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
| | - Xinli Li
- Department of Cardiology, The First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Yuming Qin
- Department of Cardiology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
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Lyozin GT, Kosaka Y, Bhattacharje G, Yost HJ, Brunelli L. Direct Isolation of Seamless Mutant Bacterial Artificial Chromosomes. ACTA ACUST UNITED AC 2017; 118:8.6.1-8.6.29. [PMID: 28369677 DOI: 10.1002/cpmb.34] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Seamless (i.e., without unwanted DNA sequences) mutant bacterial artificial chromosomes (BACs) generated via recombination-mediated genetic engineering (recombineering) are better suited to study gene function compared to complementary DNA (cDNA) because they contain only the specific mutation and provide all the regulatory sequences required for in vivo gene expression. However, precisely mutated BACs are typically rare (∼1:1,000 to 1:100,000), making their isolation quite challenging. Although these BACs have been classically isolated by linking the mutation to additional genes, i.e., selectable markers, this approach is prone to false positives and is labor-intensive because it requires the subsequent removal of the selectable marker. We created Founder Principle-driven Enrichment (FPE), a method based on the population genetics "founder principle," to directly isolate rare mutant BACs, without any selectable marker, from liquid cultures via the polymerase chain reaction (PCR). Here, we provide a detailed description of FPE, including protocols for BAC recombineering and PCR screening. © 2017 by John Wiley & Sons, Inc.
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Affiliation(s)
- George T Lyozin
- Eccles Institute of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.,University of Nebraska and Children's Hospital Medical Center, Omaha, Nebraska
| | - Yasuhiro Kosaka
- Eccles Institute of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Gourab Bhattacharje
- Eccles Institute of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - H Joseph Yost
- Eccles Institute of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Luca Brunelli
- Eccles Institute of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.,Department of Pediatrics (Neonatology), The University of Utah School of Medicine, Salt Lake City, Utah
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7
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Yu B, Li AH, Metcalf GA, Muzny DM, Morrison AC, White S, Mosley TH, Gibbs RA, Boerwinkle E. Loss-of-function variants influence the human serum metabolome. Sci Adv 2016; 2:e1600800. [PMID: 27602404 PMCID: PMC5007069 DOI: 10.1126/sciadv.1600800] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 08/03/2016] [Indexed: 05/17/2023]
Abstract
The metabolome is a collection of small molecules resulting from multiple cellular and biological processes that can act as biomarkers of disease, and African-Americans exhibit high levels of genetic diversity. Exome sequencing of a sample of deeply phenotyped African-Americans allowed us to analyze the effects of annotated loss-of-function (LoF) mutations on 308 serum metabolites measured by untargeted liquid and gas chromatography coupled with mass spectrometry. In an independent sample, we identified and replicated four genes harboring six LoF mutations that significantly affected five metabolites. These sites were related to a 19 to 45% difference in geometric mean metabolite levels, with an average effect size of 25%. We show that some of the affected metabolites are risk predictors or diagnostic biomarkers of disease and, using the principle of Mendelian randomization, are in the causal pathway of disease. For example, LoF mutations in SLCO1B1 elevate the levels of hexadecanedioate, a fatty acid significantly associated with increased blood pressure levels and risk of incident heart failure in both African-Americans and an independent sample of European-Americans. We show that SLCO1B1 LoF mutations significantly increase the risk of incident heart failure, thus implicating the metabolite in the causal pathway of disease. These results reveal new avenues into gene function and the understanding of disease etiology by integrating -omic technologies into a deeply phenotyped population study.
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Affiliation(s)
- Bing Yu
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Alexander H. Li
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ginger A. Metcalf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Donna M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alanna C. Morrison
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Simon White
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Thomas H. Mosley
- Department of Medicine (Geriatrics), University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Corresponding author.
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