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Ouni N, Chaaben AB, Kablouti G, Ayari F, Douik H, Abaza H, Gara S, Elgaaied-Benammar A, Guemira F, Tamouza R. The Impact of HLA-G 3'UTR Polymorphisms in Breast Cancer in a Tunisian Population. Immunol Invest 2019; 48:521-532. [PMID: 30945586 DOI: 10.1080/08820139.2019.1569043] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Human leukocyte antigens G and E (HLA-G and HLA-E) are nonclassical major histocompatibility complex (MHC) class I molecules. These molecules play an important role in immune surveillance by inhibiting natural killer and cytotoxic T cells responsible for immune escape. The expression of HLA-G and HLA-E has been associated with several diseases including tumor. The main objective of the study is to evaluate the impact of three HLA-G 3'UTR potential polymorphisms: +3187 A > G (rs9380142), +3142 G > C (rs1063320), +2960 14-base pair (bp) Insertion/Deletion (Ins/Del) (rs66554220), and the HLA-E*01:01/01:03 A > G (rs1264457) polymorphism in Tunisian breast cancer population. A total of 355 patients and 381 controls were genotyping for HLA-G and HLA-E polymorphisms using a Taq Man assay. +3142 C allele and +3142 C/C genotype were significantly associated with increased risk of breast cancer (p = 0.00002; OR = 1.58; 95% CI = 27-1.97) (49% versus 35%; p = 0.0001; OR = 1.79; 95% CI = 1.32-2.44). In addition, Del allele and the homozygous state for Del/Del genotype confer a risk for breast cancer (52% versus 45%, p = 0.006; OR = 1.33, 95% CI = 1.08-1.64) (28% versus 22%, p = 0.039; OR = 1.43, 95% CI = 0.90-2.25). However, no statistical significant differences were reported for HLA-G + 3187 A > G and HLA-E variations and breast cancer in a Tunisian population. The found results indicate that HLA-G may play an important role in the breast cancer.
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Affiliation(s)
- Nesrine Ouni
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Arij Ben Chaaben
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
- b Jean Dausset Laboratory and INSERM, U1160 , Saint Louis Hospital , Paris , France
| | - Ghalia Kablouti
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Fayza Ayari
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Hayet Douik
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Hajer Abaza
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Sonia Gara
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Amel Elgaaied-Benammar
- c Immunology Department, Faculty of Mathematics, Physics and Natural Sciences , Tunis El Manar University , Tunis , Tunisia
| | - Fethi Guemira
- a Clinical Biology Department , Salah Azaiz Institute , Tunis , Tunisia
| | - Ryad Tamouza
- d INSERM, U955, Translational Psychiatry , Paris-East University , Creteil , France
- e AP-HP, DHU PePSY, Department of Psychiatry , Hôpital Henri Mondor, Université Paris-Est-Creteil , Creteil , France
- f Fondation FondaMental , Creteil , France
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Sillo TO, Beggs AD, Morton DG, Middleton G. Mechanisms of immunogenicity in colorectal cancer. Br J Surg 2019; 106:1283-1297. [PMID: 31216061 PMCID: PMC6772007 DOI: 10.1002/bjs.11204] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/06/2019] [Accepted: 03/12/2019] [Indexed: 12/24/2022]
Abstract
Background The immune response in cancer is increasingly understood to be important in determining clinical outcomes, including responses to cancer therapies. New insights into the mechanisms underpinning the immune microenvironment in colorectal cancer are helping to develop the role of immunotherapy and suggest targeted approaches to the management of colorectal cancer at all disease stages. Method A literature search was performed in PubMed, MEDLINE and Cochrane Library databases to identify relevant articles. This narrative review discusses the current understanding of the contributors to immunogenicity in colorectal cancer and potential applications for targeted therapies. Results Responsiveness to immunotherapy in colorectal cancer is non-uniform. Several factors, both germline and tumour-related, are potential determinants of immunogenicity in colorectal cancer. Current approaches target tumours with high immunogenicity driven by mutations in DNA mismatch repair genes. Recent work suggests a role for therapies that boost the immune response in tumours with low immunogenicity. Conclusion With the development of promising therapies to boost the innate immune response, there is significant potential for the expansion of the role of immunotherapy as an adjuvant to surgical treatment in colorectal cancer.
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Affiliation(s)
- T O Sillo
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - A D Beggs
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - D G Morton
- Academic Department of Surgery, College of Medical and Dental Sciences, Queen Elizabeth Hospital, Birmingham, UK
| | - G Middleton
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
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Maroilley T, Lemonnier G, Lecardonnel J, Esquerré D, Ramayo-Caldas Y, Mercat MJ, Rogel-Gaillard C, Estellé J. Deciphering the genetic regulation of peripheral blood transcriptome in pigs through expression genome-wide association study and allele-specific expression analysis. BMC Genomics 2017; 18:967. [PMID: 29237423 PMCID: PMC5729405 DOI: 10.1186/s12864-017-4354-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 11/28/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Efforts to improve sustainability in livestock production systems have focused on two objectives: investigating the genetic control of immune function as it pertains to robustness and disease resistance, and finding predictive markers for use in breeding programs. In this context, the peripheral blood transcriptome represents an important source of biological information about an individual's health and immunological status, and has been proposed for use as an intermediate phenotype to measure immune capacity. The objective of this work was to study the genetic architecture of variation in gene expression in the blood of healthy young pigs using two approaches: an expression genome-wide association study (eGWAS) and allele-specific expression (ASE) analysis. RESULTS The blood transcriptomes of 60-day-old Large White pigs were analyzed by expression microarrays for eGWAS (242 animals) and by RNA-Seq for ASE analysis (38 animals). Using eGWAS, the expression levels of 1901 genes were found to be associated with expression quantitative trait loci (eQTLs). We recovered 2839 local and 1752 distant associations (Single Nucleotide Polymorphism or SNP located less or more than 1 Mb from expression probe, respectively). ASE analyses confirmed the extensive cis-regulation of gene transcription in blood, and revealed allelic imbalance in 2286 SNPs, which affected 763 genes. eQTLs and ASE-genes were widely distributed on all chromosomes. By analyzing mutually overlapping eGWAS results, we were able to describe putative regulatory networks, which were further refined using ASE data. At the functional level, genes with genetically controlled expression that were detected by eGWAS and/or ASE analyses were significantly enriched in biological processes related to RNA processing and immune function. Indeed, numerous distant and local regulatory relationships were detected within the major histocompatibility complex region on chromosome 7, revealing ASE for most class I and II genes. CONCLUSIONS This study represents, to the best of our knowledge, the first genome-wide map of the genetic control of gene expression in porcine peripheral blood. These results represent an interesting resource for the identification of genetic markers and blood biomarkers associated with variations in immunity traits in pigs, as well as any other complex traits for which blood is an appropriate surrogate tissue.
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Affiliation(s)
- T Maroilley
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
| | - G Lemonnier
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - J Lecardonnel
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - D Esquerré
- GenPhySE, INRA, INPT, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France
| | - Y Ramayo-Caldas
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - M J Mercat
- IFIP - Institut du porc/BIOPORC, La Motte au Vicomte, BP 35104, 35651, Le Rheu, France
| | - C Rogel-Gaillard
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
| | - J Estellé
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
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Joshi AD, Andersson C, Buch S, Stender S, Noordam R, Weng LC, Weeke PE, Auer PL, Boehm B, Chen C, Choi H, Curhan G, Denny JC, De Vivo I, Eicher JD, Ellinghaus D, Folsom AR, Fuchs C, Gala M, Haessler J, Hofman A, Hu F, Hunter DJ, Janssen HL, Kang JH, Kooperberg C, Kraft P, Kratzer W, Lieb W, Lutsey PL, Murad SD, Nordestgaard BG, Pasquale LR, Reiner AP, Ridker PM, Rimm E, Rose LM, Shaffer CM, Schafmayer C, Tamimi RM, Uitterlinden AG, Völker U, Völzke H, Wakabayashi Y, Wiggs JL, Zhu J, Roden DM, Stricker BH, Tang W, Teumer A, Hampe J, Tybjærg-Hansen A, Chasman DI, Chan AT, Johnson AD. Four Susceptibility Loci for Gallstone Disease Identified in a Meta-analysis of Genome-Wide Association Studies. Gastroenterology 2016; 151:351-363.e28. [PMID: 27094239 PMCID: PMC4959966 DOI: 10.1053/j.gastro.2016.04.007] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 04/06/2016] [Accepted: 04/07/2016] [Indexed: 01/01/2023]
Abstract
BACKGROUND & AIMS A genome-wide association study (GWAS) of 280 cases identified the hepatic cholesterol transporter ABCG8 as a locus associated with risk for gallstone disease, but findings have not been reported from any other GWAS of this phenotype. We performed a large-scale, meta-analysis of GWASs of individuals of European ancestry with available prior genotype data, to identify additional genetic risk factors for gallstone disease. METHODS We obtained per-allele odds ratio (OR) and standard error estimates using age- and sex-adjusted logistic regression models within each of the 10 discovery studies (8720 cases and 55,152 controls). We performed an inverse variance weighted, fixed-effects meta-analysis of study-specific estimates to identify single-nucleotide polymorphisms that were associated independently with gallstone disease. Associations were replicated in 6489 cases and 62,797 controls. RESULTS We observed independent associations for 2 single-nucleotide polymorphisms at the ABCG8 locus: rs11887534 (OR, 1.69; 95% confidence interval [CI], 1.54-1.86; P = 2.44 × 10(-60)) and rs4245791 (OR, 1.27; P = 1.90 × 10(-34)). We also identified and/or replicated associations for rs9843304 in TM4SF4 (OR, 1.12; 95% CI, 1.08-1.16; P = 6.09 × 10(-11)), rs2547231 in SULT2A1 (encodes a sulfoconjugation enzyme that acts on hydroxysteroids and cholesterol-derived sterol bile acids) (OR, 1.17; 95% CI, 1.12-1.21; P = 2.24 × 10(-10)), rs1260326 in glucokinase regulatory protein (OR, 1.12; 95% CI, 1.07-1.17; P = 2.55 × 10(-10)), and rs6471717 near CYP7A1 (encodes an enzyme that catalyzes conversion of cholesterol to primary bile acids) (OR, 1.11; 95% CI, 1.08-1.15; P = 8.84 × 10(-9)). Among individuals of African American and Hispanic American ancestry, rs11887534 and rs4245791 were associated positively with gallstone disease risk, whereas the association for the rs1260326 variant was inverse. CONCLUSIONS In this large-scale GWAS of gallstone disease, we identified 4 loci in genes that have putative functions in cholesterol metabolism and transport, and sulfonylation of bile acids or hydroxysteroids.
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Affiliation(s)
- Amit D. Joshi
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA,Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital Boston, MA,To whom correspondence should be addressed: Amit D. Joshi, MBBS, PhD, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts 02114, USA. Tel: +1 617 724 7558; Charlotte Andersson, MD, PhD, The Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, Massachusetts 01702, USA. , Andrew T. Chan, MD, MPH, Massachusetts General Hospital and Harvard Medical School, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, GRJ-825C, Boston, Massachusetts 02114, USA. Tel:+1 617 724 0283; Fax: +1 617 726 3673; , Andrew D. Johnson, PhD, Division of Intramural Research, National Heart, Lung and Blood Institute, Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, 73 Mt. Wayte Ave., Suite #2, Framingham, MA, 01702, USA. Tel: +1 508 663 4082; Fax: +1 508 626 1262;
| | - Charlotte Andersson
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts.
| | - Stephan Buch
- Medical Department 1, University Hospital Dresden, TU Dresden, Dresden Germany
| | - Stefan Stender
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark
| | - Raymond Noordam
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Lu-Chen Weng
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN
| | - Peter E. Weeke
- Department of Medicine, Vanderbilt University, Nashville, TN,Department of Cardiology, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Paul L. Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Bernhard Boehm
- Department of Internal Medicine I, Ulm University Hospital, Ulm, Germany
| | - Constance Chen
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA
| | - Hyon Choi
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA
| | - Gary Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Renal Division, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Joshua C. Denny
- Department of Medicine, Vanderbilt University, Nashville, TN,Department of Biomedical Informatics, Vanderbilt University, Nashville, TN
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA,Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - John D. Eicher
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Aaron R. Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN
| | - Charles Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Manish Gala
- Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Frank Hu
- Department of Epidemiology, Harvard School of Public Health, Boston, MA,Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - David J. Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Harry L.A. Janssen
- Department of Gastroenterology and Hepatology, Erasmus MC, Rotterdam, the Netherlands,Toronto Centre for Liver Disease, Toronto Western and General Hospital, University Health Network, Toronto, Canada
| | - Jae H. Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Wolfgang Kratzer
- Department of Internal Medicine I, Ulm University Hospital, Ulm, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian Albrechts Universität Kiel, Niemannsweg 11, Kiel, Germany
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN
| | - Sarwa Darwish Murad
- Department of Gastroenterology and Hepatology, Erasmus MC, Rotterdam, the Netherlands
| | - Børge G. Nordestgaard
- The Copenhagen General Population Study and,Department of Clinical Biochemistry, Herlev Hospital, Herlev Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Louis R. Pasquale
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Alex P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Paul M Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Eric Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA,Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Lynda M. Rose
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | | | - Clemens Schafmayer
- Department of General, Abdominal, Thoracic and Transplantation Surgery, University of Kiel, Kiel, Germany
| | - Rulla M. Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany,German Center for Cardiovascular Research, Partner Site Greifswald,German Center for Diabetes Research, Site Greifswald
| | - Yoshiyuki Wakabayashi
- The National Heart, Lung, and Blood Institute, DNA Sequencing Core Laboratory, Bethesda, MD
| | - Janey L. Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Jun Zhu
- The National Heart, Lung, and Blood Institute, DNA Sequencing Core Laboratory, Bethesda, MD
| | - Dan M. Roden
- Department of Medicine, Vanderbilt University, Nashville, TN
| | - Bruno H. Stricker
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, TU Dresden, Dresden Germany
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark,Department of Clinical Biochemistry, Herlev Hospital, Herlev Denmark
| | - Daniel I. Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Andrew T. Chan
- Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital Boston, MA,Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,To whom correspondence should be addressed: Amit D. Joshi, MBBS, PhD, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts 02114, USA. Tel: +1 617 724 7558; Charlotte Andersson, MD, PhD, The Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, Massachusetts 01702, USA. , Andrew T. Chan, MD, MPH, Massachusetts General Hospital and Harvard Medical School, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, GRJ-825C, Boston, Massachusetts 02114, USA. Tel:+1 617 724 0283; Fax: +1 617 726 3673; , Andrew D. Johnson, PhD, Division of Intramural Research, National Heart, Lung and Blood Institute, Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, 73 Mt. Wayte Ave., Suite #2, Framingham, MA, 01702, USA. Tel: +1 508 663 4082; Fax: +1 508 626 1262;
| | - Andrew D. Johnson
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA,To whom correspondence should be addressed: Amit D. Joshi, MBBS, PhD, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, Massachusetts General Hospital, 55 Fruit Street, Boston, Massachusetts 02114, USA. Tel: +1 617 724 7558; Charlotte Andersson, MD, PhD, The Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, Massachusetts 01702, USA. , Andrew T. Chan, MD, MPH, Massachusetts General Hospital and Harvard Medical School, Clinical and Translational Epidemiology Unit, Division of Gastroenterology, GRJ-825C, Boston, Massachusetts 02114, USA. Tel:+1 617 724 0283; Fax: +1 617 726 3673; , Andrew D. Johnson, PhD, Division of Intramural Research, National Heart, Lung and Blood Institute, Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, 73 Mt. Wayte Ave., Suite #2, Framingham, MA, 01702, USA. Tel: +1 508 663 4082; Fax: +1 508 626 1262;
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He Q, Kong L, Wang Y, Wang S, Chan TA, Holland E. Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits. Comput Stat Data Anal 2015; 95:222-239. [PMID: 28133403 DOI: 10.1016/j.csda.2015.10.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Genetic studies often involve quantitative traits. Identifying genetic features that influence quantitative traits can help to uncover the etiology of diseases. Quantile regression method considers the conditional quantiles of the response variable, and is able to characterize the underlying regression structure in a more comprehensive manner. On the other hand, genetic studies often involve high-dimensional genomic features, and the underlying regression structure may be heterogeneous in terms of both effect sizes and sparsity. To account for the potential genetic heterogeneity, including the heterogeneous sparsity, a regularized quantile regression method is introduced. The theoretical property of the proposed method is investigated, and its performance is examined through a series of simulation studies. A real dataset is analyzed to demonstrate the application of the proposed method.
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Affiliation(s)
- Qianchuan He
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Linglong Kong
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada T6G 2G1
| | - Yanhua Wang
- School of Mathematics, Beijing Institute of Technology, Beijing, 100081, China
| | - Sijian Wang
- Department of Biostatistics & Medical Informatics and Department of Statistics, The University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Timothy A Chan
- Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Eric Holland
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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Larson NB, McDonnell S, French AJ, Fogarty Z, Cheville J, Middha S, Riska S, Baheti S, Nair AA, Wang L, Schaid DJ, Thibodeau SN. Comprehensively evaluating cis-regulatory variation in the human prostate transcriptome by using gene-level allele-specific expression. Am J Hum Genet 2015; 96:869-82. [PMID: 25983244 PMCID: PMC4457953 DOI: 10.1016/j.ajhg.2015.04.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 04/17/2015] [Indexed: 12/17/2022] Open
Abstract
The identification of cis-acting regulatory variation in primary tissues has the potential to elucidate the genetic basis of complex traits and further our understanding of transcriptomic diversity across cell types. Expression quantitative trait locus (eQTL) association analysis using RNA sequencing (RNA-seq) data can improve upon the detection of cis-acting regulatory variation by leveraging allele-specific expression (ASE) patterns in association analysis. Here, we present a comprehensive evaluation of cis-acting eQTLs by analyzing RNA-seq gene-expression data and genome-wide high-density genotypes from 471 samples of normal primary prostate tissue. Using statistical models that integrate ASE information, we identified extensive cis-eQTLs across the prostate transcriptome and found that approximately 70% of expressed genes corresponded to a significant eQTL at a gene-level false-discovery rate of 0.05. Overall, cis-eQTLs were heavily concentrated near the transcription start and stop sites of affected genes, and effects were negatively correlated with distance. We identified multiple instances of cis-acting co-regulation by using phased genotype data and discovered 233 SNPs as the most strongly associated eQTLs for more than one gene. We also noted significant enrichment (25/50, p = 2E-5) of previously reported prostate cancer risk SNPs in prostate eQTLs. Our results illustrate the benefit of assessing ASE data in cis-eQTL analyses by showing better reproducibility of prior eQTL findings than of eQTL mapping based on total expression alone. Altogether, our analysis provides extensive functional context of thousands of SNPs in prostate tissue, and these results will be of critical value in guiding studies examining disease of the human prostate.
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Affiliation(s)
- Nicholas B Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
| | - Shannon McDonnell
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Amy J French
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Zach Fogarty
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - John Cheville
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Sumit Middha
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Shaun Riska
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Saurabh Baheti
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Asha A Nair
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Liang Wang
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Daniel J Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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Tofigh A, Suderman M, Paquet ER, Livingstone J, Bertos N, Saleh SM, Zhao H, Souleimanova M, Cory S, Lesurf R, Shahalizadeh S, Garcia Lopez N, Riazalhosseini Y, Omeroglu A, Ursini-Siegel J, Park M, Dumeaux V, Hallett M. The prognostic ease and difficulty of invasive breast carcinoma. Cell Rep 2014; 9:129-142. [PMID: 25284793 DOI: 10.1016/j.celrep.2014.08.073] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Revised: 07/18/2014] [Accepted: 08/27/2014] [Indexed: 11/26/2022] Open
Abstract
Breast carcinoma (BC) has been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The sheer number of reported signatures has led to speculation that everything is prognostic in BC. Here, we show that this ubiquity is an apparition caused by a poor understanding of the interrelatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological profile, or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers but who experience a distant metastasis within 5 years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intratumoral heterogeneity.
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Affiliation(s)
- Ali Tofigh
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada
| | - Matthew Suderman
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada
| | - Eric R Paquet
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada
| | - Julie Livingstone
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada
| | - Nicholas Bertos
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada
| | - Sadiq M Saleh
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada; Department of Biochemistry, McGill University, Montreal, QC H3G1Y6, Canada
| | - Hong Zhao
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada
| | - Margarita Souleimanova
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada
| | - Sean Cory
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada
| | - Robert Lesurf
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada; Department of Biochemistry, McGill University, Montreal, QC H3G1Y6, Canada
| | | | - Norberto Garcia Lopez
- Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada; McGill University Health Centre, McGill University, Montreal, QC H3A 1A1, Canada
| | - Yasser Riazalhosseini
- Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada; McGill University and Génome Québec Innovation Centre, Montreal, QC H3A 0G1, Canada
| | - Atilla Omeroglu
- Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada; McGill University Health Centre, McGill University, Montreal, QC H3A 1A1, Canada
| | - Josie Ursini-Siegel
- Lady Davis Institute for Medical Research, McGill University, Montreal, QC H3T1E2, Canada; Department of Oncology, McGill University, Montreal, QC H2W1S6, Canada
| | - Morag Park
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Department of Biochemistry, McGill University, Montreal, QC H3G1Y6, Canada; Department of Oncology, McGill University, Montreal, QC H2W1S6, Canada
| | - Vanessa Dumeaux
- Department of Oncology, McGill University, Montreal, QC H2W1S6, Canada; Institute of Community Medicine, UiT the Arctic University of Norway, Tromso 9037, Norway
| | - Michael Hallett
- The Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A1A3, Canada; Centre for Bioinformatics, McGill University, Montreal, QC H3G0B1, Canada; Department of Biochemistry, McGill University, Montreal, QC H3G1Y6, Canada.
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Ganesh S, Chasman D, Larson M, Guo X, Verwoert G, Bis J, Gu X, Smith A, Yang ML, Zhang Y, Ehret G, Rose L, Hwang SJ, Papanicolau G, Sijbrands E, Rice K, Eiriksdottir G, Pihur V, Ridker P, Vasan R, Newton-Cheh C, Raffel LJ, Amin N, Rotter JI, Liu K, Launer LJ, Xu M, Caulfield M, Morrison AC, Johnson AD, Vaidya D, Dehghan A, Li G, Bouchard C, Harris TB, Zhang H, Boerwinkle E, Siscovick DS, Gao W, Uitterlinden AG, Rivadeneira F, Hofman A, Willer CJ, Franco OH, Huo Y, Witteman JC, Munroe PB, Gudnason V, Palmas W, van Duijn C, Fornage M, Levy D, Psaty BM, Chakravarti A, Newton-Cheh C, Johnson T, Gateva V, Tobin M, Bochud M, Coin L, Najjar S, Zhao J, Heath S, Eyheramendy S, Papadakis K, Voight B, Scott L, Zhang F, Farrall M, Tanaka T, Wallace C, Chambers J, Khaw KT, Nilsson P, van der Harst P, Polidoro S, Grobbee D, Onland-Moret N, Bots M, Wain L, Elliott K, Teumer A, Luan J, Lucas G, Kuusisto J, Burton P, Hadley D, McArdle W, Brown M, Dominiczak A, Newhouse S, Samani N, Webster J, Zeggini E, Beckmann J, Bergmann S, Lim N, Song K, Vollenweider P, Waeber G, Waterworth D, Yuan X, Groop L, Orho-Melander M, Allione A, Di Gregorio A, Guarrera S, Panico S, Ricceri F, Romanazzi V, Sacerdote C, Vineis P, Barroso I, Sandhu M, Luben R, Crawford G, Jousilahti P, Perola M, Boehnke M, Bonnycastle L, Collins F, Jackson A, Mohlke K, Stringham H, Valle T, Willer C, Bergman R, Morken M, Döring A, Gieger C, Illig T, Meitinger T, Org E, Pfeufer A, Wichmann H, Kathiresan S, Marrugat J, O’Donnell C, Schwartz S, Siscovick D, Subirana I, Freimer N, Hartikainen AL, McCarthy M, O’Reilly P, Peltonen L, Pouta A, de Jong P, Snieder H, van Gilst W, Clarke R, Goel A, Hamsten A, Peden J, Seedorf U, Syvänen AC, Tognoni G, Lakatta E, Sanna S, Scheet P, Schlessinger D, Scuteri A, Dörr M, Ernst F, Felix S, Homuth G, Lorbeer R, Reffelmann T, Rettig R, Völker U, Galan P, Gut I, Hercberg S, Lathrop G, Zeleneka D, Deloukas P, Soranzo N, Williams F, Zhai G, Salomaa V, Laakso M, Elosua R, Forouhi N, Völzke H, Uiterwaal C, van der Schouw Y, Numans M, Matullo G, Navis G, Berglund G, Bingham S, Kooner J, Paterson A, Connell J, Bandinelli S, Ferrucci L, Watkins H, Spector T, Tuomilehto J, Altshuler D, Strachan D, Laan M, Meneton P, Wareham N, Uda M, Jarvelin MR, Mooser V, Melander O, Loos R, Elliott P, Abecasis G, Caulfield M, Munroe P. Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. Am J Hum Genet 2014; 95:49-65. [PMID: 24975945 DOI: 10.1016/j.ajhg.2014.06.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 06/03/2014] [Indexed: 01/11/2023] Open
Abstract
Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.
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Elshimali YI, Khaddour H, Sarkissyan M, Wu Y, Vadgama JV. The clinical utilization of circulating cell free DNA (CCFDNA) in blood of cancer patients. Int J Mol Sci 2013; 14:18925-58. [PMID: 24065096 PMCID: PMC3794814 DOI: 10.3390/ijms140918925] [Citation(s) in RCA: 182] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Revised: 08/26/2013] [Accepted: 08/30/2013] [Indexed: 02/06/2023] Open
Abstract
Qualitative and quantitative testing of circulating cell free DNA (CCFDNA) can be applied for the management of malignant and benign neoplasms. Detecting circulating DNA in cancer patients may help develop a DNA profile for early stage diagnosis in malignancies. The technical issues of obtaining, using, and analyzing CCFDNA from blood will be discussed.
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Affiliation(s)
- Yahya I. Elshimali
- Division of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, 1720 East 120th Street, Los Angeles, CA 90059, USA; E-Mails: (M.S.); (Y.W.); (J.V.V.)
- Author to whom correspondence should be addressed; E-Mail: or ; Tel.: +1-818-515-7618; Fax: +1-818-994-9875
| | - Husseina Khaddour
- Laboratory Diagnostic Medicine, Faculty of Pharmacy, Mazzeh (17th April Street), Damascus University, Damascus, Syria; E-Mail:
| | - Marianna Sarkissyan
- Division of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, 1720 East 120th Street, Los Angeles, CA 90059, USA; E-Mails: (M.S.); (Y.W.); (J.V.V.)
| | - Yanyuan Wu
- Division of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, 1720 East 120th Street, Los Angeles, CA 90059, USA; E-Mails: (M.S.); (Y.W.); (J.V.V.)
- David Geffen School of Medicine at UCLA, UCLA’s Jonsson Comprehensive Cancer Center, 8-684 Factor Building, Box 951781, Los Angeles, CA 90095-1781, USA
| | - Jaydutt V. Vadgama
- Division of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, 1720 East 120th Street, Los Angeles, CA 90059, USA; E-Mails: (M.S.); (Y.W.); (J.V.V.)
- David Geffen School of Medicine at UCLA, UCLA’s Jonsson Comprehensive Cancer Center, 8-684 Factor Building, Box 951781, Los Angeles, CA 90095-1781, USA
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