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Stenson PD, Mort M, Ball EV, Evans K, Hayden M, Heywood S, Hussain M, Phillips AD, Cooper DN. The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies. Hum Genet 2017. [PMID: 28349240 DOI: 10.1007/s00439‐017‐1779‐6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
The Human Gene Mutation Database (HGMD®) constitutes a comprehensive collection of published germline mutations in nuclear genes that underlie, or are closely associated with human inherited disease. At the time of writing (March 2017), the database contained in excess of 203,000 different gene lesions identified in over 8000 genes manually curated from over 2600 journals. With new mutation entries currently accumulating at a rate exceeding 17,000 per annum, HGMD represents de facto the central unified gene/disease-oriented repository of heritable mutations causing human genetic disease used worldwide by researchers, clinicians, diagnostic laboratories and genetic counsellors, and is an essential tool for the annotation of next-generation sequencing data. The public version of HGMD ( http://www.hgmd.org ) is freely available to registered users from academic institutions and non-profit organisations whilst the subscription version (HGMD Professional) is available to academic, clinical and commercial users under license via QIAGEN Inc.
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Affiliation(s)
- Peter D Stenson
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
| | - Matthew Mort
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Edward V Ball
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Katy Evans
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Matthew Hayden
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Sally Heywood
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Michelle Hussain
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Andrew D Phillips
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - David N Cooper
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
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152
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Stenson PD, Mort M, Ball EV, Evans K, Hayden M, Heywood S, Hussain M, Phillips AD, Cooper DN. The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies. Hum Genet 2017; 136:665-677. [PMID: 28349240 PMCID: PMC5429360 DOI: 10.1007/s00439-017-1779-6] [Citation(s) in RCA: 883] [Impact Index Per Article: 126.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 03/14/2017] [Indexed: 02/06/2023]
Abstract
The Human Gene Mutation Database (HGMD®) constitutes a comprehensive collection of published germline mutations in nuclear genes that underlie, or are closely associated with human inherited disease. At the time of writing (March 2017), the database contained in excess of 203,000 different gene lesions identified in over 8000 genes manually curated from over 2600 journals. With new mutation entries currently accumulating at a rate exceeding 17,000 per annum, HGMD represents de facto the central unified gene/disease-oriented repository of heritable mutations causing human genetic disease used worldwide by researchers, clinicians, diagnostic laboratories and genetic counsellors, and is an essential tool for the annotation of next-generation sequencing data. The public version of HGMD (http://www.hgmd.org) is freely available to registered users from academic institutions and non-profit organisations whilst the subscription version (HGMD Professional) is available to academic, clinical and commercial users under license via QIAGEN Inc.
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Affiliation(s)
- Peter D Stenson
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
| | - Matthew Mort
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Edward V Ball
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Katy Evans
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Matthew Hayden
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Sally Heywood
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Michelle Hussain
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Andrew D Phillips
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - David N Cooper
- School of Medicine, Institute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
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153
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154
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Abstract
Whole-genome and exome sequencing in human populations has revealed the tolerance of each gene for loss-of-function variation. By understanding this tolerance, it has become increasingly possible to identify genes that would make safe therapeutic targets and to identify rare genetic risk factors and phenotypes at the scale of individual genomes. To date, the vast majority of surveyed loss-of-function variants are in protein-coding regions of the genome mainly due to the focus on these regions by exome-based sequencing projects and their relative ease of interpretability. As whole-genome sequencing becomes more prevalent, new strategies will be required to uncover impactful variation in non-coding regions of the genome where the architecture of genome function is more complex. In this review, we investigate recent studies of loss-of-function variation and emerging approaches for interpreting whole-genome sequencing data to identify rare and impactful non-coding loss-of-function variants.
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Affiliation(s)
- Zachary Zappala
- Department of Genetics, Stanford University, California, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, California, USA
- Department of Pathology, Stanford University, California, USA
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155
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156
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The roles of RNA processing in translating genotype to phenotype. NATURE REVIEWS. MOLECULAR CELL BIOLOGY 2016. [PMID: 27847391 DOI: 10.1038/nrm.2016.139.] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A goal of human genetics studies is to determine the mechanisms by which genetic variation produces phenotypic differences that affect human health. Efforts in this respect have previously focused on genetic variants that affect mRNA levels by altering epigenetic and transcriptional regulation. Recent studies show that genetic variants that affect RNA processing are at least equally as common as, and are largely independent from, those variants that affect transcription. We highlight the impact of genetic variation on pre-mRNA splicing and polyadenylation, and on the stability, translation and structure of mRNAs as mechanisms that produce phenotypic traits. These results emphasize the importance of including RNA processing signals in analyses to identify functional variants.
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157
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Manning KS, Cooper TA. The roles of RNA processing in translating genotype to phenotype. Nat Rev Mol Cell Biol 2016; 18:102-114. [PMID: 27847391 DOI: 10.1038/nrm.2016.139] [Citation(s) in RCA: 129] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A goal of human genetics studies is to determine the mechanisms by which genetic variation produces phenotypic differences that affect human health. Efforts in this respect have previously focused on genetic variants that affect mRNA levels by altering epigenetic and transcriptional regulation. Recent studies show that genetic variants that affect RNA processing are at least equally as common as, and are largely independent from, those variants that affect transcription. We highlight the impact of genetic variation on pre-mRNA splicing and polyadenylation, and on the stability, translation and structure of mRNAs as mechanisms that produce phenotypic traits. These results emphasize the importance of including RNA processing signals in analyses to identify functional variants.
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Affiliation(s)
- Kassie S Manning
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas 77030, USA.,Integrative Molecular and Biomedical Sciences Program, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Thomas A Cooper
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.,Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas 77030, USA.,Integrative Molecular and Biomedical Sciences Program, Baylor College of Medicine, Houston, Texas 77030, USA
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158
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Using large sequencing data sets to refine intragenic disease regions and prioritize clinical variant interpretation. Genet Med 2016; 19:496-504. [PMID: 27657688 DOI: 10.1038/gim.2016.134] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 07/28/2016] [Indexed: 01/03/2023] Open
Abstract
PURPOSE Classification of novel variants is a major challenge facing the widespread adoption of comprehensive clinical genomic sequencing and the field of personalized medicine in general. This is largely because most novel variants do not have functional, genetic, or population data to support their clinical classification. METHODS To improve variant interpretation, we leveraged the Exome Aggregation Consortium (ExAC) data set (N = ~60,000) as well as 7,000 clinically curated variants in 132 genes identified in more than 11,000 probands clinically tested for cardiomyopathies, rasopathies, hearing loss, or connective tissue disorders to perform a systematic evaluation of domain level disease associations. RESULTS We statistically identify regions that are most sensitive to functional variation in the general population and also most commonly impacted in symptomatic individuals. Our data show that a significant number of exons and domains in genes strongly associated with disease can be defined as disease-sensitive or disease-tolerant, leading to potential reclassification of at least 26% (450 out of 1,742) of variants of uncertain clinical significance in the 132 genes. CONCLUSION This approach leverages domain functional annotation and associated disease in each gene to prioritize candidate disease variants, increasing the sensitivity and specificity of novel variant assessment within these genes.Genet Med advance online publication 22 September 2016.
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159
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Jagannathan S, Bradley RK. Translational plasticity facilitates the accumulation of nonsense genetic variants in the human population. Genome Res 2016; 26:1639-1650. [PMID: 27646533 PMCID: PMC5131816 DOI: 10.1101/gr.205070.116] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 09/16/2016] [Indexed: 01/12/2023]
Abstract
Genetic variants that disrupt protein-coding DNA are ubiquitous in the human population, with about 100 such loss-of-function variants per individual. While most loss-of-function variants are rare, a subset have risen to high frequency and occur in a homozygous state in healthy individuals. It is unknown why these common variants are well tolerated, even though some affect essential genes implicated in Mendelian disease. Here, we combine genomic, proteomic, and biochemical data to demonstrate that many common nonsense variants do not ablate protein production from their host genes. We provide computational and experimental evidence for diverse mechanisms of gene rescue, including alternative splicing, stop codon readthrough, alternative translation initiation, and C-terminal truncation. Our results suggest a molecular explanation for the mild fitness costs of many common nonsense variants and indicate that translational plasticity plays a prominent role in shaping human genetic diversity.
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Affiliation(s)
- Sujatha Jagannathan
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.,Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.,Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Robert K Bradley
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.,Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
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160
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Eight Mutations of Three Genes (EDA, EDAR, and WNT10A) Identified in Seven Hypohidrotic Ectodermal Dysplasia Patients. Genes (Basel) 2016; 7:genes7090065. [PMID: 27657131 PMCID: PMC5042395 DOI: 10.3390/genes7090065] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 09/01/2016] [Accepted: 09/12/2016] [Indexed: 01/03/2023] Open
Abstract
Hypohidrotic ectodermal dysplasia (HED) is characterized by abnormal development of the teeth, hair, and sweat glands. Ectodysplasin A (EDA), Ectodysplasin A receptor (EDAR), and EDAR-associated death domain (EDARADD) are candidate genes for HED, but the relationship between WNT10A and HED has not yet been validated. In this study, we included patients who presented at least two of the three ectodermal dysplasia features. The four genes were analyzed in seven HED patients by PCR and Sanger sequencing. Five EDA and one EDAR heterozygous mutations were identified in families 1–6. Two WNT10A heterozygous mutations were identified in family 7 as a compound heterozygote. c.662G>A (p.Gly221Asp) in EDA and c.354T>G (p.Tyr118*) in WNT10A are novel mutations. Bioinformatics analyses results confirmed the pathogenicity of the two novel mutations. In family 7, we also identified two single-nucleotide polymorphisms (SNPs) that were predicted to affect the splicing of EDAR. Analysis of the patient’s total RNA revealed normal splicing of EDAR. This ascertained that the compound heterozygous WNT10A mutations are the genetic defects that led to the onset of HED. Our data revealed the genetic basis of seven HED patients and expended the mutational spectrum. Interestingly, we confirmed WNT10A as a candidate gene of HED and we propose WNT10A to be tested in EDA-negative HED patients.
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161
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Ferreira PG, Oti M, Barann M, Wieland T, Ezquina S, Friedländer MR, Rivas MA, Esteve-Codina A, Rosenstiel P, Strom TM, Lappalainen T, Guigó R, Sammeth M. Sequence variation between 462 human individuals fine-tunes functional sites of RNA processing. Sci Rep 2016; 6:32406. [PMID: 27617755 PMCID: PMC5019111 DOI: 10.1038/srep32406] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 08/03/2016] [Indexed: 12/23/2022] Open
Abstract
Recent advances in the cost-efficiency of sequencing technologies enabled the combined DNA- and RNA-sequencing of human individuals at the population-scale, making genome-wide investigations of the inter-individual genetic impact on gene expression viable. Employing mRNA-sequencing data from the Geuvadis Project and genome sequencing data from the 1000 Genomes Project we show that the computational analysis of DNA sequences around splice sites and poly-A signals is able to explain several observations in the phenotype data. In contrast to widespread assessments of statistically significant associations between DNA polymorphisms and quantitative traits, we developed a computational tool to pinpoint the molecular mechanisms by which genetic markers drive variation in RNA-processing, cataloguing and classifying alleles that change the affinity of core RNA elements to their recognizing factors. The in silico models we employ further suggest RNA editing can moonlight as a splicing-modulator, albeit less frequently than genomic sequence diversity. Beyond existing annotations, we demonstrate that the ultra-high resolution of RNA-Seq combined from 462 individuals also provides evidence for thousands of bona fide novel elements of RNA processing-alternative splice sites, introns, and cleavage sites-which are often rare and lowly expressed but in other characteristics similar to their annotated counterparts.
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Affiliation(s)
- Pedro G. Ferreira
- Bioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain
- Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland
- Instituto de Investigação e Inovação em Saúde, (i3S) Universidade do Porto, 4200-625 Porto, Portugal
- Institute of Molecular Pathology and Immunology (IPATIMUP), University of Porto, 4200-625 Porto, Portugal
| | - Martin Oti
- Institute of Biophysics Carlos Chagas Filho (IBCCF), Federal University of Rio de Janeiro (UFRJ), 21941-902 Rio de Janeiro, Brazil
| | - Matthias Barann
- Institute of Clinical Molecular Biology, Christians-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
| | - Thomas Wieland
- Institute of Human Genetics, Helmholtz Center Munich, 85764 Neuherberg, Germany
| | - Suzana Ezquina
- Center for Human Genome and Stem-cell research (HUG-CELL), University of São Paulo (USP), 05508090 São Paulo, Brazil
| | - Marc R. Friedländer
- Science for Life Laboratory, Stockholm University, Box 1031, 17121 Solna, Sweden
| | - Manuel A. Rivas
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Anna Esteve-Codina
- Centre Nacional d’Anàlisi Genòmica, 08028 Barcelona, Catalonia, Spain
- Center for Research in Agricultural Genomics (CRAG), Autonome University of Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, Christians-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
| | - Tim M Strom
- Institute of Human Genetics, Helmholtz Center Munich, 85764 Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, 81675 Munich, Germany
| | - Tuuli Lappalainen
- Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland
- Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, 1211 Geneva, Switzerland
- Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland
| | - Roderic Guigó
- Bioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), 08003 Barcelona, Catalonia, Spain
| | - Michael Sammeth
- Bioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain
- Institute of Biophysics Carlos Chagas Filho (IBCCF), Federal University of Rio de Janeiro (UFRJ), 21941-902 Rio de Janeiro, Brazil
- National Center of Scientific Computing (LNCC), 2233-6000 Petrópolis, Rio de Janeiro, Brazil
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162
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The rules and impact of nonsense-mediated mRNA decay in human cancers. Nat Genet 2016; 48:1112-8. [PMID: 27618451 PMCID: PMC5045715 DOI: 10.1038/ng.3664] [Citation(s) in RCA: 281] [Impact Index Per Article: 35.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 08/11/2016] [Indexed: 12/19/2022]
Abstract
Premature termination codons (PTCs) cause a large proportion of inherited human genetic diseases. PTC-containing transcripts can be degraded by an mRNA surveillance pathway termed nonsense-mediated mRNA decay (NMD). However, the efficiency of NMD varies; it is inefficient when a PTC is located downstream of the last exon junction complex (EJC). We used matched exome and transcriptome data from 9,769 human tumors to systematically elucidate the rules of NMD targeting in human cells. An integrated model incorporating multiple rules beyond the canonical EJC model explains approximately three-quarters of the non-random variance in NMD efficiency across thousands of PTCs. We also show that dosage compensation may mask the effects of NMD. Applying the NMD model identifies signatures of both positive and negative selection on NMD-triggering mutations in human tumors and provides a classification of tumor suppressor genes.
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163
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Castel SE, Mohammadi P, Chung WK, Shen Y, Lappalainen T. Rare variant phasing and haplotypic expression from RNA sequencing with phASER. Nat Commun 2016; 7:12817. [PMID: 27605262 PMCID: PMC5025529 DOI: 10.1038/ncomms12817] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Accepted: 08/03/2016] [Indexed: 11/09/2022] Open
Abstract
Haplotype phasing of genetic variants is important for clinical interpretation of the genome, population genetic analysis and functional genomic analysis of allelic activity. Here we present phASER, an accurate approach for phasing variants that are overlapped by sequencing reads, including those from RNA sequencing (RNA-seq), which often span multiple exons due to splicing. Using diverse RNA-seq data we demonstrate that this provides more accurate phasing of rare variants compared with population-based phasing and allows phasing of variants in the same gene up to hundreds of kilobases away that cannot be obtained from DNA sequencing (DNA-seq) reads. We show that in the context of medical genetic studies this improves the resolution of compound heterozygotes. Additionally, phASER provides measures of haplotypic expression that increase power and accuracy in studies of allelic expression. In summary, phasing using RNA-seq and phASER is accurate and improves studies where rare variant haplotypes or allelic expression is needed.
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Affiliation(s)
- Stephane E. Castel
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Pejman Mohammadi
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, 10032, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, 10032, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
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164
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Chardon JW, Jasmin BJ, Kothary R, Parks RJ. Report on the 3rd Ottawa International Conference on Neuromuscular Biology, Disease and Therapy - September 24-26, 2015, Ottawa, Canada. J Neuromuscul Dis 2016; 3:431-442. [PMID: 27854234 PMCID: PMC5123627 DOI: 10.3233/jnd-169001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Jodi Warman Chardon
- Department of Medicine, The Ottawa Hospital and University of Ottawa.,Centre for Neuromuscular Disease, University of Ottawa.,Department of Pediatrics (Genetics), Children's Hospital of Eastern Ontario.,Neurosciences and Clinical Epidemiology Programs, Ottawa Hospital Research Institute
| | - Bernard J Jasmin
- Centre for Neuromuscular Disease, University of Ottawa.,Department of Cellular and Molecular Medicine, University of Ottawa
| | - Rashmi Kothary
- Regenerative Medicine Program, Ottawa Hospital Research Institute.,Department of Medicine, The Ottawa Hospital and University of Ottawa.,Centre for Neuromuscular Disease, University of Ottawa.,Department of Cellular and Molecular Medicine, University of Ottawa
| | - Robin J Parks
- Regenerative Medicine Program, Ottawa Hospital Research Institute.,Department of Medicine, The Ottawa Hospital and University of Ottawa.,Department of Biochemistry, Microbiology and Immunology, University of Ottawa.,Centre for Neuromuscular Disease, University of Ottawa
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165
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Martinez-Picado J, McLaren PJ, Erkizia I, Martin MP, Benet S, Rotger M, Dalmau J, Ouchi D, Wolinsky SM, Penugonda S, Günthard HF, Fellay J, Carrington M, Izquierdo-Useros N, Telenti A. Identification of Siglec-1 null individuals infected with HIV-1. Nat Commun 2016; 7:12412. [PMID: 27510803 PMCID: PMC4987525 DOI: 10.1038/ncomms12412] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 06/30/2016] [Indexed: 12/16/2022] Open
Abstract
Siglec-1/CD169 is a myeloid-cell surface receptor critical for HIV-1 capture and infection of bystander target cells. To dissect the role of SIGLEC1 in natura, we scan a large population genetic database and identify a loss-of-function variant (Glu88Ter) that is found in ∼1% of healthy people. Exome analysis and direct genotyping of 4,233 HIV-1-infected individuals reveals two Glu88Ter homozygous and 97 heterozygous subjects, allowing the analysis of ex vivo and in vivo consequences of SIGLEC1 loss-of-function. Cells from these individuals are functionally null or haploinsufficient for Siglec-1 activity in HIV-1 capture and trans-infection ex vivo. However, Siglec-1 protein truncation does not have a measurable impact on HIV-1 acquisition or AIDS outcomes in vivo. This result contrasts with the known in vitro functional role of Siglec-1 in HIV-1 trans-infection. Thus, it provides evidence that the classical HIV-1 infectious routes may compensate for the lack of Siglec-1 in fuelling HIV-1 dissemination within infected individuals.
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Affiliation(s)
- Javier Martinez-Picado
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
- University of Vic-Central University of Catalonia (UVic-UCC), 08500 Vic, Barcelona, Spain
| | - Paul J. McLaren
- National HIV and Retrovirology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada R3E 0W3
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada R3E 0J9
| | - Itziar Erkizia
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Maureen P. Martin
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, USA
| | - Susana Benet
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Margalida Rotger
- Institute of Microbiology, University Hospital Center and University of Lausanne, 1011 Lausanne, Switzerland
| | - Judith Dalmau
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Dan Ouchi
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Steven M. Wolinsky
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Sudhir Penugonda
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Mary Carrington
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, USA
- Ragon Institute for MGH, MIT and Harvard, Cambridge, Massachusetts 02139, USA
| | - Nuria Izquierdo-Useros
- AIDS Research Institute IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Amalio Telenti
- Genomic Medicine, J. Craig Venter Institute, La Jolla, California 12037, USA
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166
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Rivas MA, Graham D, Sulem P, Stevens C, Desch AN, Goyette P, Gudbjartsson D, Jonsdottir I, Thorsteinsdottir U, Degenhardt F, Mucha S, Kurki MI, Li D, D'Amato M, Annese V, Vermeire S, Weersma RK, Halfvarson J, Paavola-Sakki P, Lappalainen M, Lek M, Cummings B, Tukiainen T, Haritunians T, Halme L, Koskinen LLE, Ananthakrishnan AN, Luo Y, Heap GA, Visschedijk MC, MacArthur DG, Neale BM, Ahmad T, Anderson CA, Brant SR, Duerr RH, Silverberg MS, Cho JH, Palotie A, Saavalainen P, Kontula K, Färkkilä M, McGovern DPB, Franke A, Stefansson K, Rioux JD, Xavier RJ, Daly MJ, Barrett J, de Lane K, Edwards C, Hart A, Hawkey C, Jostins L, Kennedy N, Lamb C, Lee J, Lees C, Mansfield J, Mathew C, Mowatt C, Newman B, Nimmo E, Parkes M, Pollard M, Prescott N, Randall J, Rice D, Satsangi J, Simmons A, Tremelling M, Uhlig H, Wilson D, Abraham C, Achkar JP, Bitton A, Boucher G, Croitoru K, Fleshner P, Glas J, Kugathasan S, Limbergen JV, Milgrom R, Proctor D, Regueiro M, Schumm PL, Sharma Y, Stempak JM, Targan SR, Wang MH. A protein-truncating R179X variant in RNF186 confers protection against ulcerative colitis. Nat Commun 2016; 7:12342. [PMID: 27503255 PMCID: PMC4980482 DOI: 10.1038/ncomms12342] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 06/24/2016] [Indexed: 01/05/2023] Open
Abstract
Protein-truncating variants protective against human disease provide in vivo validation of therapeutic targets. Here we used targeted sequencing to conduct a search for protein-truncating variants conferring protection against inflammatory bowel disease exploiting knowledge of common variants associated with the same disease. Through replication genotyping and imputation we found that a predicted protein-truncating variant (rs36095412, p.R179X, genotyped in 11,148 ulcerative colitis patients and 295,446 controls, MAF=up to 0.78%) in RNF186, a single-exon ring finger E3 ligase with strong colonic expression, protects against ulcerative colitis (overall P=6.89 × 10(-7), odds ratio=0.30). We further demonstrate that the truncated protein exhibits reduced expression and altered subcellular localization, suggesting the protective mechanism may reside in the loss of an interaction or function via mislocalization and/or loss of an essential transmembrane domain.
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Affiliation(s)
- Manuel A. Rivas
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Daniel Graham
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | | | - Christine Stevens
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - A. Nicole Desch
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Philippe Goyette
- Research Center, Montreal Heart Institute, Montréal, Québec, Canada H1T1C8
| | - Daniel Gudbjartsson
- deCODE Genetics, Amgen Inc., 101 Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, 101 Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics, Amgen Inc., 101 Reykjavik, Iceland
- Department of Immunology, Landspitali, the National University Hospital of Iceland, 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Amgen Inc., 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24118 Kiel, Germany
| | - Sören Mucha
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24118 Kiel, Germany
| | - Mitja I. Kurki
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Dalin Li
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California 90048 USA
| | - Mauro D'Amato
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Stockholm, Sweden
- BioCruces Health Research Institute and IKERBASQUE, Basque Foundation for Science, 48903 Bilbao, Spain
| | - Vito Annese
- Unit of Gastroenterology, Istituto di Ricovero e Cura a Carattere Scientifico-Casa Sollievo della Sofferenza (IRCCS-CSS) Hospital, 71013 San Giovanni Rotondo, Italy
- Strutture Organizzative Dipartimentali (SOD) Gastroenterologia 2, Azienda Ospedaliero Universitaria (AOU) Careggi, 50134 Florence, Italy
| | - Severine Vermeire
- Department of Clinical and Experimental Medicine, Translational Research in GastroIntestinal Disorders (TARGID), Katholieke Universiteit (KU) Leuven, Leuven 3000, Belgium
- Division of Gastroenterology, University Hospital Gasthuisberg, BE-3000 Leuven, Belgium
| | - Rinse K. Weersma
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Jonas Halfvarson
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, SE 701 82 Örebro, Sweden
| | - Paulina Paavola-Sakki
- Department of Medicine, University of Helsinki, 00100 Helsinki, Finland
- Helsinki University Hospital, 00100 Helsinki, Finland
- Clinic of Gastroenterology, Helsinki University Hospital, 00100 Helsinki, Finland
| | - Maarit Lappalainen
- Department of Medicine, University of Helsinki, 00100 Helsinki, Finland
- Helsinki University Hospital, 00100 Helsinki, Finland
- Research Programs Unit, Immunobiology, and Department of Medical and Clinical Genetics, University of Helsinki, 00014 Helsinki, Finland
| | - Monkol Lek
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Beryl Cummings
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Taru Tukiainen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Talin Haritunians
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California 90048 USA
| | - Leena Halme
- Department of Transplantation and Liver Surgery, University of Helsinki, 00100 Helsinki, Finland
| | - Lotta L. E. Koskinen
- Research Programs Unit, Immunobiology, and Department of Medical and Clinical Genetics, University of Helsinki, 00014 Helsinki, Finland
- Department of Medical Genetics, Biomedicum Helsinki, University of Helsinki, 00100 Helsinki, Finland
| | - Ashwin N. Ananthakrishnan
- Gastroenterology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Yang Luo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Graham A. Heap
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Marijn C. Visschedijk
- Department of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Daniel G. MacArthur
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Benjamin M. Neale
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Tariq Ahmad
- Peninsula College of Medicine and Dentistry, Exeter PL6 8BU, UK
| | - Carl A. Anderson
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Steven R. Brant
- Meyerhoff Inflammatory Bowel Disease Center, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, 21205, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, 21205, USA
| | - Richard H. Duerr
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, USA
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261, USA
| | - Mark S. Silverberg
- Department of Medicine, Inflammatory Bowel Disease Centre, Mount Sinai Hospital, Toronto, Ontario, Canada M5G 1X5
| | - Judy H Cho
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut 06510, USA
| | - Aarno Palotie
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Institute for Molecular Medicine Finland, University of Helsinki, 00100 Helsinki, Finland
- Massachusetts General Hospital, Center for Human Genetic Research, Psychiatric and Neurodevelopmental Genetics Unit, Boston, Massachusetts 02114, USA
| | - Päivi Saavalainen
- Research Programs Unit, Immunobiology, University of Helsinki, 00100 Helsinki, Finland
| | - Kimmo Kontula
- Department of Medicine, University of Helsinki, 00100 Helsinki, Finland
- Helsinki University Hospital, 00100 Helsinki, Finland
| | - Martti Färkkilä
- Department of Medicine, University of Helsinki, 00100 Helsinki, Finland
- Helsinki University Hospital, 00100 Helsinki, Finland
- Clinic of Gastroenterology, Helsinki University Hospital, 00100 Helsinki, Finland
| | - Dermot P. B. McGovern
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Inflammatory Bowel Disease Center, Cedars-Sinai Medical Center, Los Angeles, California 90048 USA
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24118 Kiel, Germany
| | - Kari Stefansson
- deCODE Genetics, Amgen Inc., 101 Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - John D. Rioux
- Research Center, Montreal Heart Institute, Montréal, Québec, Canada H1T1C8
- Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada H3T 1J4
| | - Ramnik J. Xavier
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Gastroenterology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Mark J. Daly
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - J. Barrett
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - K. de Lane
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - C. Edwards
- Department of Gastroenterology, Torbay Hospital, Devon, UK
| | - A. Hart
- Department of Medicine, St. Mark's Hospital, Middlesex, UK
| | - C. Hawkey
- Nottingham Digestive Disease Centre, Queens Medical Centre, Nottingham, UK
| | - L. Jostins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Headington, UK
- Christ Church, University of Oxford, Oxford, UK
| | - N. Kennedy
- Gastrointestinal Unit, Wester General Hospital, University of Edinburgh, Edinburgh, UK
| | - C. Lamb
- Newcastle University, Newcastle upon Tyne, UK
| | - J. Lee
- Inflammatory Bowel Disease Research Group, Addenbrooke's Hospital, Cambridge, UK
| | - C. Lees
- Gastrointestinal Unit, Wester General Hospital, University of Edinburgh, Edinburgh, UK
| | | | - C. Mathew
- Department of Medical and Molecular Genetics, Guy's Hospital, London, UK
- Department of Medical and Molecular Genetics, King's College London School of Medicine, Guy's Hospital, London, UK
| | - C. Mowatt
- Department of Medicine, Ninewells Hospital and Medical School, Dundee, UK
| | - B. Newman
- Genetic Medicine, Manchester Academic Health Science Centre, Manchester, UK
- The Manchester Centre for Genomic Medicine, University of Manchester, Manchester, UK
| | - E. Nimmo
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - M. Parkes
- Inflammatory Bowel Disease Research Group, Addenbrooke's Hospital, Cambridge, UK
| | - M. Pollard
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - N. Prescott
- Department of Medical and Molecular Genetics, Guy's Hospital, London, UK
- Department of Medical and Molecular Genetics, King's College London School of Medicine, Guy's Hospital, London, UK
| | - J. Randall
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - D. Rice
- IBD Pharmacogenetics, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - J. Satsangi
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - A. Simmons
- Translational Gastroenterology Unit, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - M. Tremelling
- Gastroenterology & General Medicine, Norfolk and Norwich University Hospital, Norwich, UK
| | - H. Uhlig
- Translational Gastroenterology Unit and the Department of Pediatrics, University of Oxford, Oxford, UK
| | - D. Wilson
- Pediatric Gastroenterology and Nutrition, Royal Hospital for Sick Children, Edinburgh, UK
- Child Life and Health, University of Edinburgh, Edinburgh, UK
| | - C. Abraham
- Section of Digestive Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - J. P. Achkar
- Department of Gastroenterology and Hepatology, Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Pathobiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - A. Bitton
- Division of Gastroenterology, Royal Victoria Hospital, Montréal, Québec, Canada
| | - G. Boucher
- Research Center, Montreal Heart Institute, Montréal, Québec, Canada H1T1C8
| | - K. Croitoru
- Inflammatory Bowel Disease Group, Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - P. Fleshner
- Department of Transplantation and Liver Surgery, University of Helsinki, 00100 Helsinki, Finland
| | - J. Glas
- Division of Gastroenterology, Royal Victoria Hospital, Montréal, Québec, Canada
| | - S. Kugathasan
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - J. V. Limbergen
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Hospital for Sick Children, Toronto, Ontario, Canada
| | - R. Milgrom
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut 06510, USA
| | - D. Proctor
- Section of Digestive Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - M. Regueiro
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261, USA
| | - P. L. Schumm
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Y. Sharma
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - J. M. Stempak
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut 06510, USA
| | - S. R. Targan
- Department of Transplantation and Liver Surgery, University of Helsinki, 00100 Helsinki, Finland
| | - M. H. Wang
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, USA
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167
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Jungbluth H, Ochala J, Treves S, Gautel M. Current and future therapeutic approaches to the congenital myopathies. Semin Cell Dev Biol 2016; 64:191-200. [PMID: 27515125 DOI: 10.1016/j.semcdb.2016.08.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 08/04/2016] [Accepted: 08/08/2016] [Indexed: 12/14/2022]
Abstract
The congenital myopathies - including Central Core Disease (CCD), Multi-minicore Disease (MmD), Centronuclear Myopathy (CNM), Nemaline Myopathy (NM) and Congenital Fibre Type Disproportion (CFTD) - are a genetically heterogeneous group of early-onset neuromuscular conditions characterized by distinct histopathological features, and associated with a substantial individual and societal disease burden. Appropriate supportive management has substantially improved patient morbidity and mortality but there is currently no cure. Recent years have seen an exponential increase in the genetic and molecular understanding of these conditions, leading to the identification of underlying defects in proteins involved in calcium homeostasis and excitation-contraction coupling, thick/thin filament assembly and function, redox regulation, membrane trafficking and/or autophagic pathways. Based on these findings, specific therapies are currently being developed, or are already approaching the clinical trial stage. Despite undeniable progress, therapy development faces considerable challenges, considering the rarity and diversity of specific conditions, and the size and complexity of some of the genes and proteins involved. The present review will summarize the key genetic, histopathological and clinical features of specific congenital myopathies, and outline therapies already available or currently being developed in the context of known pathogenic mechanisms. The relevance of newly discovered molecular mechanisms and novel gene editing strategies for future therapy development will be discussed.
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Affiliation(s)
- Heinz Jungbluth
- Department of Paediatric Neurology, Neuromuscular Service, Evelina's Children Hospital, Guy's & St. Thomas' Hospital NHS Foundation Trust, London, United Kingdom; Randall Division for Cell and Molecular Biophysics, Muscle Signalling Section Biophysics and Cardiovascular Division, King's College BHF Centre of Research Excellence, United Kingdom; Department of Basic and Clinical Neuroscience, IoPPN, King's College, London, United Kingdom.
| | - Julien Ochala
- Centre of Human and Aerospace Physiological Sciences, King's College London, United Kingdom
| | - Susan Treves
- Departments of Biomedicine and Anaesthesia, Basel University Hospital, 4031 Basel, Switzerland
| | - Mathias Gautel
- Randall Division for Cell and Molecular Biophysics, Muscle Signalling Section Biophysics and Cardiovascular Division, King's College BHF Centre of Research Excellence, United Kingdom
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168
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Carithers LJ, Ardlie K, Barcus M, Branton PA, Britton A, Buia SA, Compton CC, DeLuca DS, Peter-Demchok J, Gelfand ET, Guan P, Korzeniewski GE, Lockhart NC, Rabiner CA, Rao AK, Robinson KL, Roche NV, Sawyer SJ, Segrè AV, Shive CE, Smith AM, Sobin LH, Undale AH, Valentino KM, Vaught J, Young TR, Moore HM. A Novel Approach to High-Quality Postmortem Tissue Procurement: The GTEx Project. Biopreserv Biobank 2016; 13:311-9. [PMID: 26484571 PMCID: PMC4675181 DOI: 10.1089/bio.2015.0032] [Citation(s) in RCA: 513] [Impact Index Per Article: 64.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The Genotype-Tissue Expression (GTEx) project, sponsored by the NIH Common Fund, was established to study the correlation between human genetic variation and tissue-specific gene expression in non-diseased individuals. A significant challenge was the collection of high-quality biospecimens for extensive genomic analyses. Here we describe how a successful infrastructure for biospecimen procurement was developed and implemented by multiple research partners to support the prospective collection, annotation, and distribution of blood, tissues, and cell lines for the GTEx project. Other research projects can follow this model and form beneficial partnerships with rapid autopsy and organ procurement organizations to collect high quality biospecimens and associated clinical data for genomic studies. Biospecimens, clinical and genomic data, and Standard Operating Procedures guiding biospecimen collection for the GTEx project are available to the research community.
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Affiliation(s)
- Latarsha J Carithers
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Kristin Ardlie
- 2 The Broad Institute of MIT and Harvard , Cambridge, Massachusetts
| | - Mary Barcus
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Philip A Branton
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Angela Britton
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Stephen A Buia
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Carolyn C Compton
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - David S DeLuca
- 2 The Broad Institute of MIT and Harvard , Cambridge, Massachusetts
| | - Joanne Peter-Demchok
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Ellen T Gelfand
- 2 The Broad Institute of MIT and Harvard , Cambridge, Massachusetts
| | - Ping Guan
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Greg E Korzeniewski
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Nicole C Lockhart
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Chana A Rabiner
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Abhi K Rao
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Karna L Robinson
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Nancy V Roche
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Sherilyn J Sawyer
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Ayellet V Segrè
- 2 The Broad Institute of MIT and Harvard , Cambridge, Massachusetts
| | - Charles E Shive
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Anna M Smith
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Leslie H Sobin
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Anita H Undale
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Kimberly M Valentino
- 3 Biospecimen Research Group, Clinical Research Directorate, Leidos Biomedical Research, Inc. , Frederick, Maryland
| | - Jim Vaught
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
| | - Taylor R Young
- 2 The Broad Institute of MIT and Harvard , Cambridge, Massachusetts
| | - Helen M Moore
- 1 Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, National Cancer Institute (NCI), National Institutes of Health (NIH) , Bethesda, Maryland
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Lappalainen T. Functional genomics bridges the gap between quantitative genetics and molecular biology. Genome Res 2016; 25:1427-31. [PMID: 26430152 PMCID: PMC4579327 DOI: 10.1101/gr.190983.115] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Deep characterization of molecular function of genetic variants in the human genome is becoming increasingly important for understanding genetic associations to disease and for learning to read the regulatory code of the genome. In this paper, I discuss how recent advances in both quantitative genetics and molecular biology have contributed to understanding functional effects of genetic variants, lessons learned from eQTL studies, and future challenges in this field.
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Affiliation(s)
- Tuuli Lappalainen
- New York Genome Center, New York, New York 10013, USA; Department of Systems Biology, Columbia University, New York, New York 10032, USA
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170
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Krueger F, Andrews SR. SNPsplit: Allele-specific splitting of alignments between genomes with known SNP genotypes. F1000Res 2016; 5:1479. [PMID: 27429743 DOI: 10.12688/f1000research.9037.1] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/20/2016] [Indexed: 11/20/2022] Open
Abstract
Sequencing reads overlapping polymorphic sites in diploid mammalian genomes may be assigned to one allele or the other. This holds the potential to detect gene expression, chromatin modifications, DNA methylation or nuclear interactions in an allele-specific fashion. SNPsplit is an allele-specific alignment sorter designed to read files in SAM/BAM format and determine the allelic origin of reads or read-pairs that cover known single nucleotide polymorphic (SNP) positions. For this to work libraries must have been aligned to a genome in which all known SNP positions were masked with the ambiguity base 'N' and aligned using a suitable mapping program such as Bowtie2, TopHat, STAR, HISAT2, HiCUP or Bismark. SNPsplit also provides an automated solution to generate N-masked reference genomes for hybrid mouse strains based on the variant call information provided by the Mouse Genomes Project. The unique ability of SNPsplit to work with various different kinds of sequencing data including RNA-Seq, ChIP-Seq, Bisulfite-Seq or Hi-C opens new avenues for the integrative exploration of allele-specific data.
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Affiliation(s)
- Felix Krueger
- Bioinformatics Group, The Babraham Institute, Cambridge, UK
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171
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Krueger F, Andrews SR. SNPsplit: Allele-specific splitting of alignments between genomes with known SNP genotypes. F1000Res 2016; 5:1479. [PMID: 27429743 PMCID: PMC4934512 DOI: 10.12688/f1000research.9037.2] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/21/2016] [Indexed: 12/20/2022] Open
Abstract
Sequencing reads overlapping polymorphic sites in diploid mammalian genomes may be assigned to one allele or the other. This holds the potential to detect gene expression, chromatin modifications, DNA methylation or nuclear interactions in an allele-specific fashion. SNPsplit is an allele-specific alignment sorter designed to read files in SAM/BAM format and determine the allelic origin of reads or read-pairs that cover known single nucleotide polymorphic (SNP) positions. For this to work libraries must have been aligned to a genome in which all known SNP positions were masked with the ambiguity base 'N' and aligned using a suitable mapping program such as Bowtie2, TopHat, STAR, HISAT2, HiCUP or Bismark. SNPsplit also provides an automated solution to generate N-masked reference genomes for hybrid mouse strains based on the variant call information provided by the Mouse Genomes Project. The unique ability of SNPsplit to work with various different kinds of sequencing data including RNA-Seq, ChIP-Seq, Bisulfite-Seq or Hi-C opens new avenues for the integrative exploration of allele-specific data.
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Affiliation(s)
- Felix Krueger
- Bioinformatics Group, The Babraham Institute, Cambridge, UK
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172
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Sheynkman GM, Shortreed MR, Cesnik AJ, Smith LM. Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2016; 9:521-45. [PMID: 27049631 PMCID: PMC4991544 DOI: 10.1146/annurev-anchem-071015-041722] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Mass spectrometry-based proteomics has emerged as the leading method for detection, quantification, and characterization of proteins. Nearly all proteomic workflows rely on proteomic databases to identify peptides and proteins, but these databases typically contain a generic set of proteins that lack variations unique to a given sample, precluding their detection. Fortunately, proteogenomics enables the detection of such proteomic variations and can be defined, broadly, as the use of nucleotide sequences to generate candidate protein sequences for mass spectrometry database searching. Proteogenomics is experiencing heightened significance due to two developments: (a) advances in DNA sequencing technologies that have made complete sequencing of human genomes and transcriptomes routine, and (b) the unveiling of the tremendous complexity of the human proteome as expressed at the levels of genes, cells, tissues, individuals, and populations. We review here the field of human proteogenomics, with an emphasis on its history, current implementations, the types of proteomic variations it reveals, and several important applications.
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Affiliation(s)
- Gloria M Sheynkman
- Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215;
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; ,
| | - Michael R Shortreed
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; ,
| | - Anthony J Cesnik
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; ,
| | - Lloyd M Smith
- Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; ,
- Genome Center of Wisconsin, University of Wisconsin, Madison, Wisconsin 53706;
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173
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Nam JW, Choi SW, You BH. Incredible RNA: Dual Functions of Coding and Noncoding. Mol Cells 2016; 39:367-74. [PMID: 27137091 PMCID: PMC4870183 DOI: 10.14348/molcells.2016.0039] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 03/20/2016] [Accepted: 03/29/2016] [Indexed: 11/27/2022] Open
Abstract
Since the RNA world hypothesis was proposed, a large number of regulatory noncoding RNAs (ncRNAs) have been identified in many species, ranging from microorganisms to mammals. During the characterization of these newly discovered RNAs, RNAs having both coding and noncoding functions were discovered, and these were considered bifunctional RNAs. The recent use of computational and high-throughput experimental approaches has revealed increasing evidence of various sources of bifunctional RNAs, such as protein-coding mRNAs with a noncoding isoform and long ncRNAs bearing a small open reading frame. Therefore, the genomic diversity of Janus-faced RNA molecules that have dual characteristics of coding and noncoding indicates that the functional roles of RNAs have to be revisited in cells on a genome-wide scale. Such studies would allow us to further understand the complex gene-regulatory network in cells. In this review, we discuss three major genomic sources of bifunctional RNAs and present a handful of examples of bifunctional RNA along with their functional roles.
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Affiliation(s)
- Jin-Wu Nam
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763,
Korea
- Research Institute for Natural Sciences, Hanyang University, Seoul 04763,
Korea
| | - Seo-Won Choi
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763,
Korea
| | - Bo-Hyun You
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763,
Korea
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174
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Discovery of rare variants for complex phenotypes. Hum Genet 2016; 135:625-34. [PMID: 27221085 DOI: 10.1007/s00439-016-1679-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 04/28/2016] [Indexed: 12/27/2022]
Abstract
With the rise of sequencing technologies, it is now feasible to assess the role rare variants play in the genetic contribution to complex trait variation. While some of the earlier targeted sequencing studies successfully identified rare variants of large effect, unbiased gene discovery using exome sequencing has experienced limited success for complex traits. Nevertheless, rare variant association studies have demonstrated that rare variants do contribute to phenotypic variability, but sample sizes will likely have to be even larger than those of common variant association studies to be powered for the detection of genes and loci. Large-scale sequencing efforts of tens of thousands of individuals, such as the UK10K Project and aggregation efforts such as the Exome Aggregation Consortium, have made great strides in advancing our knowledge of the landscape of rare variation, but there remain many considerations when studying rare variation in the context of complex traits. We discuss these considerations in this review, presenting a broad range of topics at a high level as an introduction to rare variant analysis in complex traits including the issues of power, study design, sample ascertainment, de novo variation, and statistical testing approaches. Ultimately, as sequencing costs continue to decline, larger sequencing studies will yield clearer insights into the biological consequence of rare mutations and may reveal which genes play a role in the etiology of complex traits.
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175
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Abstract
The recent increase in genomic data is revealing an unexpected perspective of gene loss as a pervasive source of genetic variation that can cause adaptive phenotypic diversity. This novel perspective of gene loss is raising new fundamental questions. How relevant has gene loss been in the divergence of phyla? How do genes change from being essential to dispensable and finally to being lost? Is gene loss mostly neutral, or can it be an effective way of adaptation? These questions are addressed, and insights are discussed from genomic studies of gene loss in populations and their relevance in evolutionary biology and biomedicine.
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176
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Genetic Variants in the Bone Morphogenic Protein Gene Family Modify the Association between Residential Exposure to Traffic and Peripheral Arterial Disease. PLoS One 2016; 11:e0152670. [PMID: 27082954 PMCID: PMC4833382 DOI: 10.1371/journal.pone.0152670] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 03/17/2016] [Indexed: 02/06/2023] Open
Abstract
There is a growing literature indicating that genetic variants modify many of the associations between environmental exposures and clinical outcomes, potentially by increasing susceptibility to these exposures. However, genome-scale investigations of these interactions have been rarely performed particularly in the case of air pollution exposures. We performed race-stratified genome-wide gene-environment interaction association studies on European-American (EA, N = 1623) and African-American (AA, N = 554) cohorts to investigate the joint influence of common single nucleotide polymorphisms (SNPs) and residential exposure to traffic (“traffic exposure”)—a recognized vascular disease risk factor—on peripheral arterial disease (PAD). Traffic exposure was estimated via the distance from the primary residence to the nearest major roadway, defined as the nearest limited access highways or major arterial. The rs755249-traffic exposure interaction was associated with PAD at a genome-wide significant level (P = 2.29x10-8) in European-Americans. Rs755249 is located in the 3’ untranslated region of BMP8A, a member of the bone morphogenic protein (BMP) gene family. Further investigation revealed several variants in BMP genes associated with PAD via an interaction with traffic exposure in both the EA and AA cohorts; this included interactions with non-synonymous variants in BMP2, which is regulated by air pollution exposure. The BMP family of genes is linked to vascular growth and calcification and is a novel gene family for the study of PAD pathophysiology. Further investigation of BMP8A using the Genotype Tissue Expression Database revealed multiple variants with nominally significant (P < 0.05) interaction P-values in our EA cohort were significant BMP8A eQTLs in tissue types highlight relevant for PAD such as rs755249 (tibial nerve, eQTL P = 3.6x10-6) and rs1180341 (tibial artery, eQTL P = 5.3x10-6). Together these results reveal a novel gene, and possibly gene family, associated with PAD via an interaction with traffic air pollution exposure. These results also highlight the potential for interactions studies, particularly at the genome scale, to reveal novel biology linking environmental exposures to clinical outcomes.
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177
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Narasimhan VM, Xue Y, Tyler-Smith C. Human Knockout Carriers: Dead, Diseased, Healthy, or Improved? Trends Mol Med 2016; 22:341-351. [PMID: 26988438 PMCID: PMC4826344 DOI: 10.1016/j.molmed.2016.02.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 02/18/2016] [Accepted: 02/19/2016] [Indexed: 01/11/2023]
Abstract
Whole-genome and whole-exome sequence data from large numbers of individuals reveal that we all carry many variants predicted to inactivate genes (knockouts). This discovery raises questions about the phenotypic consequences of these knockouts and potentially allows us to study human gene function through the investigation of homozygous loss-of-function carriers. Here, we discuss strategies, recent results, and future prospects for large-scale human knockout studies. We examine their relevance to studying gene function, population genetics, and importantly, the implications for accurate clinical interpretations.
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Affiliation(s)
| | - Yali Xue
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
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178
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Fan Q, Verhoeven VJM, Wojciechowski R, Barathi VA, Hysi PG, Guggenheim JA, Höhn R, Vitart V, Khawaja AP, Yamashiro K, Hosseini SM, Lehtimäki T, Lu Y, Haller T, Xie J, Delcourt C, Pirastu M, Wedenoja J, Gharahkhani P, Venturini C, Miyake M, Hewitt AW, Guo X, Mazur J, Huffman JE, Williams KM, Polasek O, Campbell H, Rudan I, Vatavuk Z, Wilson JF, Joshi PK, McMahon G, St Pourcain B, Evans DM, Simpson CL, Schwantes-An TH, Igo RP, Mirshahi A, Cougnard-Gregoire A, Bellenguez C, Blettner M, Raitakari O, Kähönen M, Seppala I, Zeller T, Meitinger T, Ried JS, Gieger C, Portas L, van Leeuwen EM, Amin N, Uitterlinden AG, Rivadeneira F, Hofman A, Vingerling JR, Wang YX, Wang X, Tai-Hui Boh E, Ikram MK, Sabanayagam C, Gupta P, Tan V, Zhou L, Ho CEH, Lim W, Beuerman RW, Siantar R, Tai ES, Vithana E, Mihailov E, Khor CC, Hayward C, Luben RN, Foster PJ, Klein BEK, Klein R, Wong HS, Mitchell P, Metspalu A, Aung T, Young TL, He M, Pärssinen O, van Duijn CM, Jin Wang J, Williams C, Jonas JB, Teo YY, Mackey DA, Oexle K, Yoshimura N, Paterson AD, Pfeiffer N, Wong TY, Baird PN, Stambolian D, Wilson JEB, Cheng CY, Hammond CJ, Klaver CCW, Saw SM, Rahi JS, Korobelnik JF, Kemp JP, Timpson NJ, Smith GD, Craig JE, Burdon KP, Fogarty RD, Iyengar SK, Chew E, Janmahasatian S, Martin NG, MacGregor S, Xu L, Schache M, Nangia V, Panda-Jonas S, Wright AF, Fondran JR, Lass JH, Feng S, Zhao JH, Khaw KT, Wareham NJ, Rantanen T, Kaprio J, Pang CP, Chen LJ, Tam PO, Jhanji V, Young AL, Döring A, Raffel LJ, Cotch MF, Li X, Yip SP, Yap MK, Biino G, Vaccargiu S, Fossarello M, Fleck B, Yazar S, Tideman JWL, Tedja M, Deangelis MM, Morrison M, Farrer L, Zhou X, Chen W, Mizuki N, Meguro A, Mäkelä KM. Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error. Nat Commun 2016; 7:11008. [PMID: 27020472 PMCID: PMC4820539 DOI: 10.1038/ncomms11008] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Accepted: 02/10/2016] [Indexed: 02/07/2023] Open
Abstract
Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10(-5)), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.
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Affiliation(s)
- Qiao Fan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Virginie J. M. Verhoeven
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Robert Wojciechowski
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 20205, USA
| | - Veluchamy A. Barathi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
| | - Jeremy A. Guggenheim
- School of Optometry and Vision Sciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - René Höhn
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
- Department of Ophthalmology, Inselspital, University Hospital Bern, CH-3010 Bern, Switzerland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Anthony P. Khawaja
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - S Mohsen Hosseini
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Yi Lu
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Jing Xie
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Cécile Delcourt
- Université de Bordeaux, ISPED (Institut de Santé Publique d'Épidémiologie et de Développement), Bordeaux 33000, France
- INSERM, U1219-Bordeaux Population Health Research Center, Bordeaux 33000, France
| | - Mario Pirastu
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Juho Wedenoja
- Department of Public Health, University of Helsinki, Helsinki 00014, Finland
- Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - Puya Gharahkhani
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- UCL Institute of Ophthalmology, London SE1 7EH, UK
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Alex W. Hewitt
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Xiaobo Guo
- Department of Statistical Science, School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou 510275, China
| | - Johanna Mazur
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, 55131 Mainz, Germany
| | - Jenifer E. Huffman
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Katie M. Williams
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- Department of Ophthalmology, King's College London, London SE1 7EH, UK
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split 21000, Croatia
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Igor Rudan
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Zoran Vatavuk
- Department of Ophthalmology, Sisters of Mercy University Hospital, Zagreb 10000, Croatia
| | - James F. Wilson
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Peter K. Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - George McMahon
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, The Netherlands
| | - David M. Evans
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Claire L. Simpson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Tae-Hwi Schwantes-An
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Alireza Mirshahi
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
- Dardenne Eye Hospital, Bonn-Bad Godesberg, 53177 Bonn, Germany
| | - Audrey Cougnard-Gregoire
- Université de Bordeaux, ISPED (Institut de Santé Publique d'Épidémiologie et de Développement), Bordeaux 33000, France
- INSERM, U1219-Bordeaux Population Health Research Center, Bordeaux 33000, France
| | - Céline Bellenguez
- Inserm, U1167, Lille 59000, France
- Univ. Lille, U1167, Lille 59000, France
- Université Lille 2, Lille 59000, France
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, 55131 Mainz, Germany
| | - Olli Raitakari
- Research Centre of Applied and Preventive Medicine, University of Turku, Turku 20520, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Ilkka Seppala
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Tanja Zeller
- Clinic for General and Interventional Cardiology, University Heart Center Hamburg, 20246 Hamburg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | | | - Janina S. Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Laura Portas
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | | | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
| | - Xu Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Eileen Tai-Hui Boh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - M. Kamran Ikram
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Preeti Gupta
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Vincent Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Lei Zhou
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Candice E. H. Ho
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Wan'e Lim
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Roger W. Beuerman
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Rosalynn Siantar
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - E-Shyong Tai
- Duke-NUS Medical School, Singapore 169857, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Department of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Chiea-Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Robert N. Luben
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Paul J. Foster
- Division of Genetics and Epidemiology, UCL Institute of Ophthalmology, London EC1V 9EL, UK
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 2PD, UK
| | - Barbara E. K. Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726, USA
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726, USA
| | - Hoi-Suen Wong
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Paul Mitchell
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Terri L. Young
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin 53705, USA
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
| | - Olavi Pärssinen
- Department of Ophthalmology, Central Hospital of Central Finland, Jyväskylä 40620, Finland
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Jyväskylä 40014, Finland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Jie Jin Wang
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Cathy Williams
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Jost B. Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
- Medical Faculty Mannheim, Department of Ophthalmology, Ruprecht-Karls-University Heidelberg, 69115 Mannheim, Germany
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
| | - David A. Mackey
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania 7000, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Konrad Oexle
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Nagahisa Yoshimura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Andrew D. Paterson
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Paul N. Baird
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Dwight Stambolian
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Joan E. Bailey Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- Department of Ophthalmology, King's College London, London SE1 7EH, UK
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Seang-Mei Saw
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Jugnoo S. Rahi
- Medical Research Council Centre of Epidemiology for Child Health, Institute of Child Health, University College London, London WC1E 6BT, UK
- Institute of Ophthalmology, Moorfields Eye Hospital, London EC1V 2PD, UK
- Ulverscroft Vision Research Group, University College London, London WC1E 6BT, UK
| | - Jean-François Korobelnik
- Université de Bordeaux, 33400 Talence, France
- INSERM (Institut National de la Santé Et de la Recherche Médicale), ISPED (Institut de Santé Publique d'épidémiologie et de Développement), Centre INSERM U897-Epidemiologie-Biostatistique, 33076 Bordeaux, France
| | - John P. Kemp
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - Jamie E. Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Kathryn P. Burdon
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Rhys D. Fogarty
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, Ohio 44106, USA
- Department of Genetics, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Emily Chew
- National Eye Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Sarayut Janmahasatian
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
| | - Nicholas G. Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Stuart MacGregor
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Liang Xu
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
| | - Maria Schache
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Vinay Nangia
- Suraj Eye Institute, Nagpur, Maharashtra 440001, India
| | | | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Jeremy R. Fondran
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
| | - Jonathan H. Lass
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, Ohio 44106, USA
| | - Sheng Feng
- Department of Pediatric Ophthalmology, Duke Eye Center For Human Genetics, Durham, North Carolina 27710, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Sciences, University of Cambridge, Cambridge CB2 1TN, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Nick J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Taina Rantanen
- Gerontology Research Center, University of Jyväskylä, Jyväskylä Finland
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki 00014, Finland
- Institute for Molecular Medicine, University of Helsinki, Helsinki 00014, Finland
- Department of Mental Health and Alcohol Abuse Services, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Pancy O. Tam
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
| | - Vishal Jhanji
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Alvin L. Young
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Leslie J. Raffel
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Mary-Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute, Bethesda, Maryland 20892, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, California 90502, USA
| | - Shea Ping Yip
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
| | - Maurice K.H. Yap
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council, Pavia 27100, Italy
| | - Simona Vaccargiu
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Maurizio Fossarello
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Brian Fleck
- Princess Alexandra Eye Pavilion, Edinburgh EH3 9HA, UK
| | - Seyhan Yazar
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Jan Willem L. Tideman
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Milly Tedja
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Margaret M. Deangelis
- Department of Ophthalmology and Visual Sciences, Moran Eye Center, University of Utah, Salt Lake City, Utah 84132, USA
| | - Margaux Morrison
- Department of Ophthalmology and Visual Sciences, John Moran Eye Center, University of Utah, Salt Lake City, Utah 84132, USA
| | - Lindsay Farrer
- Departments of Medicine (Biomedical Genetics), Ophthalmology, Neurology, Epidemiology and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, Massachusetts 02118, USA
| | - Xiangtian Zhou
- School of ophthalmology and optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Wei Chen
- School of ophthalmology and optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Nobuhisa Mizuki
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Kanagawa 236-0027, Japan
| | - Akira Meguro
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Kanagawa 236-0027, Japan
| | - Kari Matti Mäkelä
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33014, Finland
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Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW. Translating RNA sequencing into clinical diagnostics: opportunities and challenges. Nat Rev Genet 2016; 17:257-71. [PMID: 26996076 PMCID: PMC7097555 DOI: 10.1038/nrg.2016.10] [Citation(s) in RCA: 431] [Impact Index Per Article: 53.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
RNA-based measurements have the potential for application across diverse areas of human health, including disease diagnosis, prognosis and therapeutic selection. Current clinical applications include infectious diseases, cancer, transplant medicine and fetal monitoring. RNA sequencing (RNA-seq) allows for the detection of a wide variety of RNA species, including mRNA, non-coding RNA, pathogen RNA, chimeric gene fusions, transcript isoforms and splice variants, and provides the capability to quantify known, pre-defined RNA species and rare RNA transcript variants within a sample. In addition to differential expression and detection of novel transcripts, RNA-seq also supports the detection of mutations and germline variation for hundreds to thousands of expressed genetic variants, facilitating assessment of allele-specific expression of these variants. Circulating RNAs and small regulatory RNAs, such as microRNAs, are very stable. These RNA species are vigorously being tested for their potential as biomarkers. However, there are currently few agreed upon methods for isolation or quantitative measurements and a current lack of quality controls that can be used to test platform accuracy and sample preparation quality. Analytical, bioinformatic and regulatory challenges exist, and ongoing efforts toward the establishment of benchmark standards, assay optimization for clinical conditions and demonstration of assay reproducibility are required to expand the clinical utility of RNA-seq.
RNA sequencing (RNA-seq) is a powerful approach for comprehensive analyses of transcriptomes. This Review describes the widespread potential applications of RNA-seq in clinical medicine, such as detecting disease-associated mutations and gene expression disruptions, as well as characteristic non-coding RNAs, circulating extracellular RNAs or pathogen RNAs. The authors also highlight the challenges in adopting RNA-seq routinely into clinical practice. With the emergence of RNA sequencing (RNA-seq) technologies, RNA-based biomolecules hold expanded promise for their diagnostic, prognostic and therapeutic applicability in various diseases, including cancers and infectious diseases. Detection of gene fusions and differential expression of known disease-causing transcripts by RNA-seq represent some of the most immediate opportunities. However, it is the diversity of RNA species detected through RNA-seq that holds new promise for the multi-faceted clinical applicability of RNA-based measures, including the potential of extracellular RNAs as non-invasive diagnostic indicators of disease. Ongoing efforts towards the establishment of benchmark standards, assay optimization for clinical conditions and demonstration of assay reproducibility are required to expand the clinical utility of RNA-seq.
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Affiliation(s)
- Sara A Byron
- Center for Translational Innovation, Translational Genomics Research Institute, Phoenix, Arizona 85004, USA
| | | | - David M Engelthaler
- Pathogen Genomics Division, Translational Genomics Research Institute, Flagstaff, Arizona 86001, USA
| | - John D Carpten
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona 85004, USA
| | - David W Craig
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona 85004, USA
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180
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Bean LJH, Hegde MR. Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine. Hum Mutat 2016; 37:559-63. [PMID: 26931283 DOI: 10.1002/humu.22982] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 02/16/2016] [Accepted: 02/18/2016] [Indexed: 01/08/2023]
Abstract
Revolutionary changes in sequencing technology and the desire to develop therapeutics for rare diseases have led to the generation of an enormous amount of genomic data in the last 5 years. Large-scale sequencing done in both research and diagnostic laboratories has linked many new genes to rare diseases, but has also generated a number of variants that we cannot interpret today. It is clear that we remain a long way from a complete understanding of the genomic variation in the human genome and its association with human health and disease. Recent studies identified susceptibility markers to infectious diseases and also the contribution of rare variants to complex diseases in different populations. The sequencing revolution has also led to the creation of a large number of databases that act as "keepers" of data, and in many cases give an interpretation of the effect of the variant. This interpretation is based on reports in the literature, prediction models, and in some cases is accompanied by functional evidence. As we move toward the practice of genomic medicine, and consider its place in "personalized medicine," it is time to ask ourselves how we can aggregate this wealth of data into a single database for multiple users with different goals.
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Affiliation(s)
- Lora J H Bean
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia.,Emory Genetics Laboratory, Decatur, Georgia
| | - Madhuri R Hegde
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia.,Emory Genetics Laboratory, Decatur, Georgia
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181
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Narasimhan VM, Hunt KA, Mason D, Baker CL, Karczewski KJ, Barnes MR, Barnett AH, Bates C, Bellary S, Bockett NA, Giorda K, Griffiths CJ, Hemingway H, Jia Z, Kelly MA, Khawaja HA, Lek M, McCarthy S, McEachan R, O'Donnell-Luria A, Paigen K, Parisinos CA, Sheridan E, Southgate L, Tee L, Thomas M, Xue Y, Schnall-Levin M, Petkov PM, Tyler-Smith C, Maher ER, Trembath RC, MacArthur DG, Wright J, Durbin R, van Heel DA. Health and population effects of rare gene knockouts in adult humans with related parents. Science 2016; 352:474-7. [PMID: 26940866 DOI: 10.1126/science.aac8624] [Citation(s) in RCA: 202] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 02/18/2016] [Indexed: 12/13/2022]
Abstract
Examining complete gene knockouts within a viable organism can inform on gene function. We sequenced the exomes of 3222 British adults of Pakistani heritage with high parental relatedness, discovering 1111 rare-variant homozygous genotypes with predicted loss of function (knockouts) in 781 genes. We observed 13.7% fewer homozygous knockout genotypes than we expected, implying an average load of 1.6 recessive-lethal-equivalent loss-of-function (LOF) variants per adult. When genetic data were linked to the individuals' lifelong health records, we observed no significant relationship between gene knockouts and clinical consultation or prescription rate. In this data set, we identified a healthy PRDM9-knockout mother and performed phased genome sequencing on her, her child, and control individuals. Our results show that meiotic recombination sites are localized away from PRDM9-dependent hotspots. Thus, natural LOF variants inform on essential genetic loci and demonstrate PRDM9 redundancy in humans.
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Affiliation(s)
| | - Karen A Hunt
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK
| | - Christopher L Baker
- Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Konrad J Karczewski
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael R Barnes
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Anthony H Barnett
- Diabetes and Endocrine Centre, Heart of England NHS Foundation Trust and University of Birmingham, Birmingham B9 5SS, UK
| | - Chris Bates
- TPP, Mill House, Troy Road, Leeds LS18 5TN, UK
| | - Srikanth Bellary
- Aston Research Centre for Healthy Ageing, Aston University, Birmingham B4 7ET, UK
| | - Nicholas A Bockett
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Kristina Giorda
- 10X Genomics, 7068 Koll Center Parkway, Suite 415, Pleasanton, CA 94566, USA
| | - Christopher J Griffiths
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Harry Hemingway
- Farr Institute of Health Informatics Research, London NW1 2DA, UK. Institute of Health Informatics, University College London, London NW1 2DA, UK
| | - Zhilong Jia
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - M Ann Kelly
- School of Clinical and Experimental Medicine, University of Birmingham, Birmingham B15 2TT, UK
| | - Hajrah A Khawaja
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Monkol Lek
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shane McCarthy
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Rosie McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK
| | - Anne O'Donnell-Luria
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kenneth Paigen
- Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Constantinos A Parisinos
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Eamonn Sheridan
- Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK
| | - Laura Southgate
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Louise Tee
- School of Clinical and Experimental Medicine, University of Birmingham, Birmingham B15 2TT, UK
| | - Mark Thomas
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Yali Xue
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | | | - Petko M Petkov
- Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | | | - Eamonn R Maher
- Department of Medical Genetics, University of Cambridge and National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Box 238, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Richard C Trembath
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. Faculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK
| | - Richard Durbin
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
| | - David A van Heel
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK.
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182
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Pseudo-Reference-Based Assembly of Vertebrate Transcriptomes. Genes (Basel) 2016; 7:genes7030010. [PMID: 26927182 PMCID: PMC4808791 DOI: 10.3390/genes7030010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Revised: 02/05/2016] [Accepted: 02/17/2016] [Indexed: 11/17/2022] Open
Abstract
High-throughput RNA sequencing (RNA-seq) provides a comprehensive picture of the transcriptome, including the identity, structure, quantity, and variability of expressed transcripts in cells, through the assembly of sequenced short RNA-seq reads. Although the reference-based approach guarantees the high quality of the resulting transcriptome, this approach is only applicable when the relevant reference genome is present. Here, we developed a pseudo-reference-based assembly (PRA) that reconstructs a transcriptome based on a linear regression function of the optimized mapping parameters and genetic distances of the closest species. Using the linear model, we reconstructed transcriptomes of four different aves, the white leg horn, turkey, duck, and zebra finch, with the Gallus gallus genome as a pseudo-reference, and of three primates, the chimpanzee, gorilla, and macaque, with the human genome as a pseudo-reference. The resulting transcriptomes show that the PRAs outperformed the de novo approach for species with within about 10% mutation rate among orthologous transcriptomes, enough to cover distantly related species as far as chicken and duck. Taken together, we suggest that the PRA method can be used as a tool for reconstructing transcriptome maps of vertebrates whose genomes have not yet been sequenced.
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183
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Clapham KR, Chu AY, Wessel J, Natarajan P, Flannick J, Rivas MA, Sartori S, Mehran R, Baber U, Fuster V, Scott RA, Rader DJ, Boehnke M, McCarthy MI, Altshuler DM, Kathiresan S, Peloso GM. A null mutation in ANGPTL8 does not associate with either plasma glucose or type 2 diabetes in humans. BMC Endocr Disord 2016; 16:7. [PMID: 26822414 PMCID: PMC4730725 DOI: 10.1186/s12902-016-0088-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 01/22/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Experiments in mice initially suggested a role for the protein angiopoietin-like 8 (ANGPTL8) in glucose homeostasis. However, subsequent experiments in model systems have challenged this proposed role. We sought to better understand the importance of ANGPTL8 in human glucose homeostasis by examining the association of a null mutation in ANGPTL8 with fasting glucose levels and risk for type 2 diabetes. METHODS A naturally-occurring null mutation in human ANGPTL8 (rs145464906; c.361C > T; p.Q121X) is carried by ~1 in 1000 individuals of European ancestry and is associated with higher levels of plasma high-density lipoprotein cholesterol, suggesting that this mutation has functional significance. We examined the association of p.Q121X with fasting glucose levels and risk for type 2 diabetes in up to 95,558 individuals (14,824 type 2 diabetics and 80,734 controls). RESULTS We found no significant association of p.Q121X with either fasting glucose or type 2 diabetes (p-value = 0.90 and 0.65, respectively). Given our sample sizes, we had >98 % power to detect at least a 0.23 mmol/L effect on plasma glucose and >95 % power to detect a 70 % increase in risk for type 2 diabetes. CONCLUSION Disruption of ANGPTL8 function in humans does not seem to have a large effect on measures of glucose tolerance.
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Affiliation(s)
- Katharine R Clapham
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, MA, 01702, USA
| | - Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN, 46202, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Pradeep Natarajan
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Manuel A Rivas
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
| | - Samantha Sartori
- Cardiovascular Institute, Mount Sinai Medical Center, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Roxana Mehran
- Cardiovascular Institute, Mount Sinai Medical Center, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Usman Baber
- Cardiovascular Institute, Mount Sinai Medical Center, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Valentin Fuster
- Cardiovascular Institute, Mount Sinai Medical Center, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0SL, UK
| | - Daniel J Rader
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michael Boehnke
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Churchill Hospital, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - David M Altshuler
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Sekar Kathiresan
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
| | - Gina M Peloso
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA.
- , 801 Massachusetts Ave, Crosstown Center, Third Floor, Boston, MA, 02118, USA.
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184
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Systematic identification of genes with a cancer-testis expression pattern in 19 cancer types. Nat Commun 2016; 7:10499. [PMID: 26813108 PMCID: PMC4737856 DOI: 10.1038/ncomms10499] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 12/17/2015] [Indexed: 02/06/2023] Open
Abstract
Cancer-testis (CT) genes represent the similarity between the processes of spermatogenesis and tumorigenesis. It is possible that their selective expression pattern can help identify driver genes in cancer. In this study, we integrate transcriptomics data from multiple databases and systematically identify 876 new CT genes in 19 cancer types. We explore their relationship with testis-specific regulatory elements. We propose that extremely highly expressed CT genes (EECTGs) are potential drivers activated through epigenetic mechanisms. We find mutually exclusive associations between EECTGs and somatic mutations in mutated genes, such as PIK3CA in breast cancer. We also provide evidence that promoter demethylation and close non-coding RNAs (namely, CT-ncRNAs) may be two mechanisms to reactivate EECTG gene expression. We show that the meiosis-related EECTG (MEIOB) and its nearby CT-ncRNA have a role in tumorigenesis in lung adenocarcinoma. Our findings provide methods for identifying epigenetic-driver genes of cancer, which could serve as targets of future cancer therapies. Genes normally expressed in the testis but aberrantly expressed in cancer are termed cancer testis antigens. In this study, the authors catalogue the expression of these genes in 19 different cancer types and correlate expression with some somatically mutated oncogenes.
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185
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Deming Y, Xia J, Cai Y, Lord J, Del-Aguila JL, Fernandez MV, Carrell D, Black K, Budde J, Ma S, Saef B, Howells B, Bertelsen S, Bailey M, Ridge PG, Holtzman D, Morris JC, Bales K, Pickering EH, Lee JM, Heitsch L, Kauwe J, Goate A, Piccio L, Cruchaga C. Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits. Sci Rep 2016; 6:18092. [PMID: 36647296 PMCID: PMC4698720 DOI: 10.1038/srep18092] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 11/11/2015] [Indexed: 01/23/2023] Open
Abstract
Genome-wide association studies of 146 plasma protein levels in 818 individuals revealed 56 genome-wide significant associations (28 novel) with 47 analytes. Loci associated with plasma levels of 39 proteins tested have been previously associated with various complex traits such as heart disease, inflammatory bowel disease, Type 2 diabetes and multiple sclerosis. These data suggest that these plasma protein levels may constitute informative endophenotypes for these complex traits. We found three potential pleiotropic genes: ABO for plasma SELE and ACE levels, FUT2 for CA19-9 and CEA plasma levels and APOE for ApoE and CRP levels. We also found multiple independent signals in loci associated with plasma levels of ApoH, CA19-9, FetuinA, IL6r and LPa. Our study highlights the power of biological traits for genetic studies to identify genetic variants influencing clinically relevant traits, potential pleiotropic effects and complex disease associations in the same locus.
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Affiliation(s)
- Yuetiva Deming
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Jian Xia
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China
| | - Yefei Cai
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Jenny Lord
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Human Genetics Programme, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK
| | - Jorge L. Del-Aguila
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - David Carrell
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Kathleen Black
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - John Budde
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - ShengMei Ma
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Benjamin Saef
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Bill Howells
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Sarah Bertelsen
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
| | - Matthew Bailey
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Perry G. Ridge
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - David Holtzman
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
- Department of Developmental Biology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, 4488 Forest Park Ave., St Louis, MO 63108, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
- Department of Developmental Biology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, 4488 Forest Park Ave., St Louis, MO 63108, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - Kelly Bales
- Neuroscience Research Unit, Worldwide Research and Development, Pfizer, Inc., Groton, CT, USA
| | - Eve H. Pickering
- Neuroscience Research Unit, Worldwide Research and Development, Pfizer, Inc., Groton, CT, USA
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - Laura Heitsch
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - John Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Alison Goate
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, 4488 Forest Park Ave., St Louis, MO 63108, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
| | - Laura Piccio
- Department of Neurology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave. B8134, St. Louis, MO 63110, USA
- Hope Center for Neurological Disorders. Washington University School of Medicine, 660 S. Euclid Ave. B8111, St. Louis, MO 63110, USA
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186
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Zeng B, Li R, Hu Y, Hu B, Zhao Q, Liu H, Yuan P, Wang Y. A novel mutation and a known mutation in the CLCN7 gene associated with relatively stable infantile malignant osteopetrosis in a Chinese patient. Gene 2016; 576:176-81. [DOI: 10.1016/j.gene.2015.10.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 07/17/2015] [Accepted: 10/12/2015] [Indexed: 01/28/2023]
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187
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Bartha I, Rausell A, McLaren PJ, Mohammadi P, Tardaguila M, Chaturvedi N, Fellay J, Telenti A. The Characteristics of Heterozygous Protein Truncating Variants in the Human Genome. PLoS Comput Biol 2015; 11:e1004647. [PMID: 26642228 PMCID: PMC4671652 DOI: 10.1371/journal.pcbi.1004647] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 11/06/2015] [Indexed: 11/18/2022] Open
Abstract
Sequencing projects have identified large numbers of rare stop-gain and frameshift variants in the human genome. As most of these are observed in the heterozygous state, they test a gene’s tolerance to haploinsufficiency and dominant loss of function. We analyzed the distribution of truncating variants across 16,260 autosomal protein coding genes in 11,546 individuals. We observed 39,893 truncating variants affecting 12,062 genes, which significantly differed from an expectation of 12,916 genes under a model of neutral de novo mutation (p<10−4). Extrapolating this to increasing numbers of sequenced individuals, we estimate that 10.8% of human genes do not tolerate heterozygous truncating variants. An additional 10 to 15% of truncated genes may be rescued by incomplete penetrance or compensatory mutations, or because the truncating variants are of limited functional impact. The study of protein truncating variants delineates the essential genome and, more generally, identifies rare heterozygous variants as an unexplored source of diversity of phenotypic traits and diseases. Genome sequencing provides evidence for large numbers of putative protein truncating variants in humans. Most truncating variants are only observed in few individuals but are collectively prevalent and widely distributed across the coding genome. Most of the truncating variants are so rare that they are only observed in heterozygosis. The current study identifies 10% of genes where heterozygous truncations are not observed and describes their biological characteristics. In addition, for genes where rare truncations are observed, we argue that these are an unexplored source of diversity of phenotypic traits and diseases.
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Affiliation(s)
- István Bartha
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Antonio Rausell
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Paul J. McLaren
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Pejman Mohammadi
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- Computational Biology Group, ETH Zurich, Zurich, Switzerland
| | - Manuel Tardaguila
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nimisha Chaturvedi
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Jacques Fellay
- SIB Swiss Institute of Bioinformatics, Lausanne and Basel, Switzerland
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Amalio Telenti
- J. Craig Venter Institute, La Jolla, California, United States of America
- * E-mail:
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188
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Darman R, Seiler M, Agrawal A, Lim K, Peng S, Aird D, Bailey S, Bhavsar E, Chan B, Colla S, Corson L, Feala J, Fekkes P, Ichikawa K, Keaney G, Lee L, Kumar P, Kunii K, MacKenzie C, Matijevic M, Mizui Y, Myint K, Park E, Puyang X, Selvaraj A, Thomas M, Tsai J, Wang J, Warmuth M, Yang H, Zhu P, Garcia-Manero G, Furman R, Yu L, Smith P, Buonamici S. Cancer-Associated SF3B1 Hotspot Mutations Induce Cryptic 3′ Splice Site Selection through Use of a Different Branch Point. Cell Rep 2015; 13:1033-45. [DOI: 10.1016/j.celrep.2015.09.053] [Citation(s) in RCA: 247] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Revised: 08/21/2015] [Accepted: 09/18/2015] [Indexed: 10/22/2022] Open
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189
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Uehara DT, Freitas ÉL, Alves LU, Mazzeu JF, Auricchio MT, Tabith A, Monteiro ML, Rosenberg C, Mingroni-Netto RC. A novel KCNQ4 mutation and a private IMMP2L-DOCK4 duplication segregating with nonsyndromic hearing loss in a Brazilian family. Hum Genome Var 2015; 2:15038. [PMID: 27081546 PMCID: PMC4785540 DOI: 10.1038/hgv.2015.38] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 08/17/2015] [Accepted: 08/24/2015] [Indexed: 02/07/2023] Open
Abstract
Here we describe a novel missense variant in the KCNQ4 gene and a private duplication at 7q31.1 partially involving two genes (IMMP2L and DOCK4). Both mutations segregated with nonsyndromic hearing loss in a family with three affected individuals. Initially, we identified the duplication in a screening of 132 unrelated cases of hearing loss with a multiplex ligation-dependent probe amplification panel of genes that are candidates to have a role in hearing, including IMMP2L. Mapping of the duplication by array-CGH revealed that the duplication also encompassed the 3′-end of DOCK4. Subsequently, whole-exome sequencing identified the breakpoint of the rearrangement, thereby confirming the existence of a fusion IMMP2L-DOCK4 gene. Transcription products of the fusion gene were identified, indicating that they escaped nonsense-mediated messenger RNA decay. A missense substitution (c.701A>T) in KCNQ4 (a gene at the DFNA2A locus) was also identified by whole-exome sequencing. Because the substitution is predicted to be probably damaging and KCNQ4 has been implicated in hearing loss, this mutation might explain the deafness in the affected individuals, although a hypothetical effect of the product of the fusion gene on hearing cannot be completely ruled out.
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Affiliation(s)
- Daniela T Uehara
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
| | - Érika L Freitas
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
| | - Leandro U Alves
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
| | | | - Maria Tbm Auricchio
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
| | - Alfredo Tabith
- DERDIC, Pontifical Catholic University of São Paulo , São Paulo, Brazil
| | - Mário Lr Monteiro
- Department of Ophthalmology and Otorhinolaryngology, Faculty of Medicine, University of São Paulo , São Paulo, Brazil
| | - Carla Rosenberg
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
| | - Regina C Mingroni-Netto
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo , São Paulo, Brazil
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190
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Castel SE, Levy-Moonshine A, Mohammadi P, Banks E, Lappalainen T. Tools and best practices for data processing in allelic expression analysis. Genome Biol 2015; 16:195. [PMID: 26381377 PMCID: PMC4574606 DOI: 10.1186/s13059-015-0762-6] [Citation(s) in RCA: 218] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 08/28/2015] [Indexed: 12/25/2022] Open
Abstract
Allelic expression analysis has become important for integrating genome and transcriptome data to characterize various biological phenomena such as cis-regulatory variation and nonsense-mediated decay. We analyze the properties of allelic expression read count data and technical sources of error, such as low-quality or double-counted RNA-seq reads, genotyping errors, allelic mapping bias, and technical covariates due to sample preparation and sequencing, and variation in total read depth. We provide guidelines for correcting such errors, show that our quality control measures improve the detection of relevant allelic expression, and introduce tools for the high-throughput production of allelic expression data from RNA-sequencing data.
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Affiliation(s)
- Stephane E Castel
- New York Genome Center, New York, NY, USA.
- Department of Systems Biology, Columbia University, New York, NY, USA.
| | | | - Pejman Mohammadi
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | | | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA.
- Department of Systems Biology, Columbia University, New York, NY, USA.
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191
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Heyes S, Pratt WS, Rees E, Dahimene S, Ferron L, Owen MJ, Dolphin AC. Genetic disruption of voltage-gated calcium channels in psychiatric and neurological disorders. Prog Neurobiol 2015; 134:36-54. [PMID: 26386135 PMCID: PMC4658333 DOI: 10.1016/j.pneurobio.2015.09.002] [Citation(s) in RCA: 164] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 09/08/2015] [Accepted: 09/08/2015] [Indexed: 12/15/2022]
Abstract
Voltage-gated calcium channel classification—genes and proteins. Genetic analysis of neuropsychiatric syndromes. Calcium channel genes identified from GWA studies of psychiatric disorders. Rare mutations in calcium channel genes in psychiatric disorders. Pathophysiological sequelae of CACNA1C mutations and polymorphisms. Monogenic disorders resulting from harmful mutations in other voltage-gated calcium channel genes. Changes in calcium channel gene expression in disease. Involvement of voltage-gated calcium channels in early brain development.
This review summarises genetic studies in which calcium channel genes have been connected to the spectrum of neuropsychiatric syndromes, from bipolar disorder and schizophrenia to autism spectrum disorders and intellectual impairment. Among many other genes, striking numbers of the calcium channel gene superfamily have been implicated in the aetiology of these diseases by various DNA analysis techniques. We will discuss how these relate to the known monogenic disorders associated with point mutations in calcium channels. We will then examine the functional evidence for a causative link between these mutations or single nucleotide polymorphisms and the disease processes. A major challenge for the future will be to translate the expanding psychiatric genetic findings into altered physiological function, involvement in the wider pathology of the diseases, and what potential that provides for personalised and stratified treatment options for patients.
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Affiliation(s)
- Samuel Heyes
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK
| | - Wendy S Pratt
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK
| | - Elliott Rees
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - Shehrazade Dahimene
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK
| | - Laurent Ferron
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - Annette C Dolphin
- Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK.
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192
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Baran Y, Subramaniam M, Biton A, Tukiainen T, Tsang EK, Rivas MA, Pirinen M, Gutierrez-Arcelus M, Smith KS, Kukurba KR, Zhang R, Eng C, Torgerson DG, Urbanek C, Li JB, Rodriguez-Santana JR, Burchard EG, Seibold MA, MacArthur DG, Montgomery SB, Zaitlen NA, Lappalainen T. The landscape of genomic imprinting across diverse adult human tissues. Genome Res 2015; 25:927-36. [PMID: 25953952 PMCID: PMC4484390 DOI: 10.1101/gr.192278.115] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 05/07/2015] [Indexed: 12/24/2022]
Abstract
Genomic imprinting is an important regulatory mechanism that silences one of the parental copies of a gene. To systematically characterize this phenomenon, we analyze tissue specificity of imprinting from allelic expression data in 1582 primary tissue samples from 178 individuals from the Genotype-Tissue Expression (GTEx) project. We characterize imprinting in 42 genes, including both novel and previously identified genes. Tissue specificity of imprinting is widespread, and gender-specific effects are revealed in a small number of genes in muscle with stronger imprinting in males. IGF2 shows maternal expression in the brain instead of the canonical paternal expression elsewhere. Imprinting appears to have only a subtle impact on tissue-specific expression levels, with genes lacking a systematic expression difference between tissues with imprinted and biallelic expression. In summary, our systematic characterization of imprinting in adult tissues highlights variation in imprinting between genes, individuals, and tissues.
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Affiliation(s)
- Yael Baran
- The Blavatnik School of Computer Science, Tel-Aviv University, Tel Aviv 69978, Israel
| | - Meena Subramaniam
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Anne Biton
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Taru Tukiainen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Emily K Tsang
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Biomedical Informatics Program, Stanford University, Stanford, California 94305, USA
| | - Manuel A Rivas
- Wellcome Trust Center for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland
| | - Maria Gutierrez-Arcelus
- Department of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland
| | - Kevin S Smith
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Kim R Kukurba
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Rui Zhang
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Dara G Torgerson
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Cydney Urbanek
- Integrated Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206, USA
| | - Jin Billy Li
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | | | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, USA
| | - Max A Seibold
- Integrated Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206, USA; Department of Pediatrics, National Jewish Health, Denver, Colorado 80206, USA; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado-Denver, Denver, Colorado 80045, USA
| | - Daniel G MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University, Stanford, California 94305, USA; Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Noah A Zaitlen
- Department of Medicine, University of California San Francisco, San Francisco, California 94158, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, New York 10013, USA; Department of Systems Biology, Columbia University, New York, New York 10032, USA
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193
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Research Highlights. Nat Biotechnol 2015. [DOI: 10.1038/nbt.3281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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194
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Affiliation(s)
- Greg Gibson
- School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.
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195
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Human genetics: GTEx pilot quantifies eQTL variation across tissues and individuals. Nat Rev Genet 2015; 16:375. [PMID: 26077371 DOI: 10.1038/nrg3969] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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196
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Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science 2015; 348:648-60. [PMID: 25954001 PMCID: PMC4547484 DOI: 10.1126/science.1262110] [Citation(s) in RCA: 3513] [Impact Index Per Article: 390.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2014] [Accepted: 04/03/2015] [Indexed: 12/11/2022]
Abstract
Understanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysis of RNA sequencing data from 1641 samples across 43 tissues from 175 individuals, generated as part of the pilot phase of the Genotype-Tissue Expression (GTEx) project. We describe the landscape of gene expression across tissues, catalog thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants, describe complex network relationships, and identify signals from genome-wide association studies explained by eQTLs. These findings provide a systematic understanding of the cellular and biological consequences of human genetic variation and of the heterogeneity of such effects among a diverse set of human tissues.
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Affiliation(s)
- GTEx Consortium
- Corresponding author: Kristin G. Ardlie () or Emmanouil T. Dermitzakis ()
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