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Adegunsoye A, Kropski JA, Behr J, Blackwell TS, Corte TJ, Cottin V, Glanville A, Glassberg MK, Griese M, Hunninghake GM, Johannson KA, Keane MP, Kim JS, Kolb M, Maher TM, Oldham JM, Podolanczuk AJ, Rosas IO, Martinez FJ, Noth I, Schwartz DA. Genetics and Genomics of Pulmonary Fibrosis: Charting the Molecular Landscape and Shaping Precision Medicine. Am J Respir Crit Care Med 2024. [PMID: 38573068 DOI: 10.1164/rccm.202401-0238so] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/03/2024] [Indexed: 04/05/2024] Open
Abstract
Recent genetic and genomic advancements have elucidated the complex etiology of idiopathic pulmonary fibrosis (IPF) and other progressive fibrotic interstitial lung diseases (ILDs), emphasizing the contribution of heritable factors. This state-of-the-art review synthesizes evidence on significant genetic contributors to pulmonary fibrosis (PF), including rare genetic variants and common single nucleotide polymorphisms (SNPs). The MUC5B promoter variant is unusual, a common SNP that markedly elevates the risk of early and established PF. We address the utility of genetic variation in enhancing understanding of disease pathogenesis, clinical phenotypes, improving disease definitions, and informing prognosis and treatment response. Critical research gaps are highlighted, particularly the underrepresentation of non-European ancestries in PF genetic studies and the exploration of PF phenotypes beyond usual interstitial pneumonia (UIP)/IPF. We discuss the role of telomere length, often critically short in PF, and its link to progression and mortality, underscoring the genetic complexity involving telomere biology genes (TERT, TERC) and others like SFTPC and MUC5B. Additionally, we address the potential of gene-by-environment interactions to modulate disease manifestation, advocating for precision medicine in PF. Insights from gene expression profiling studies and multi-omic analyses highlight the promise for understanding disease pathogenesis and offer new approaches to clinical care, therapeutic drug development, and biomarker discovery. Finally, we discuss the ethical, legal, and social implications of genomic research and therapies in PF, stressing the need for sound practices and informed clinical genetic discussions. Looking forward, we advocate for comprehensive genetic testing panels and polygenic risk scores to improve the management of PF and related ILDs across diverse populations.
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Affiliation(s)
- Ayodeji Adegunsoye
- University of Chicago, Section of Pulmonary and Critical Care, Dept. of Medicine, Chicago, Illinois, United States;
| | - Jonathan A Kropski
- Vanderbilt University Medical Center, 12328, Nashville, Tennessee, United States
| | - Juergen Behr
- University of Munich, Department of Internal Medicine V, Munich, Germany
| | | | - Tamera J Corte
- Royal Prince Alfred Hospital, Department of Respiratory Medicine, Sydney, New South Wales, Australia
- University of Sydney, 4334, Medical School, Sydney, New South Wales, Australia
| | - Vincent Cottin
- Louis Pradel University Hospital, Respiratory Medicine, Lyon, France
| | - Allan Glanville
- St Vincent's Hospital, Respiratory and Sleep Medicine, Sydney, New South Wales, Australia
| | - Marilyn K Glassberg
- Loyola University Chicago Stritch School of Medicine, 12248, Medicine, Maywood, Illinois, United States
| | | | - Gary M Hunninghake
- Brigham and Women's Hospital, 1861, Medicine, Boston, Massachusetts, United States
| | | | | | - John S Kim
- University of Virginia, 2358, Medicine, Charlottesville, Virginia, United States
| | - Martin Kolb
- McMaster University, Hamilton, Ontario, Canada
| | - Toby M Maher
- University of Southern California Keck School of Medicine, 12223, PCCSM, Los Angeles, California, United States
| | - Justin M Oldham
- University of California Davis, 8789, Pulmonary and Critical Care Medicine, Davis, California, United States
| | - Anna J Podolanczuk
- Weill Cornell Medical College, 12295, Department of Medicine, New York, New York, United States
| | - Ivan O Rosas
- Brigham and Women's Hospital, 1861, Department of Medicine, Division of Pulmonary and Critical Care Medicine, Boston, Massachusetts, United States
| | | | - Imre Noth
- University of Virginia, 2358, Division of Pulmonary and Critical Care Medicine, Charlottesville, Virginia, United States
| | - David A Schwartz
- University of Colorado, School of Medicine, Department of Medicine, Aurora, Colorado, United States
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Jara-Prado A, Guerrero-Camacho JL, Ángeles-López QD, Ochoa-Morales A, Dávila-Ortiz de Montellano DJ, Ramírez-García MÁ, Breda-Yepes M, Durón RM, Delgado-Escueta AV, Barrios-González DA, Martínez-Juárez IE. Association of variants in the ABCB1, CYP2C19 and CYP2C9 genes for Juvenile Myoclonic Epilepsy. Neurol Sci 2024; 45:1635-1643. [PMID: 37875597 DOI: 10.1007/s10072-023-07124-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/06/2023] [Indexed: 10/26/2023]
Abstract
Juvenile myoclonic epilepsy (JME) is the most common of the generalized genetic epilepsies, with multiple causal and susceptibility genes; however, its etiopathogenesis is mainly unknown. The toxic effects caused by xenobiotics in cells occur during their metabolic transformation, mainly by enzymes belonging to cytochrome P450. The elimination of these compounds by transporters of the ABC type protects the central nervous system, but their accumulation causes neuronal damage, resulting in neurological diseases. The present study has sought the association between single nucleotide genetic variants of the CYP2C9, CYP2C19, and ABCB1 genes and the development of JME in patients compared to healthy controls. The CC1236 and GG2677 genotypes of ABCB1 in women; allele G 2677, genotypes GG 2677 and CC 3435 in men; the CYP2C19*2A allele, and the CYP2C19*3G/A genotype in both sexes were found to be risk factors for JME. Furthermore, carriers of the TTGGCC genotype combination of the ABCB1 gene (1236/2677/3435) have a 10.5 times higher risk of developing JME than non-carriers. Using the STRING database, we found an interaction between the proteins encoded by these genes and other possible proteins. These findings indicate that the CYP450 system and ABC transporters could interact with other genes in the JME.
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Affiliation(s)
- Aurelio Jara-Prado
- Genetics Department, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | | | | | - Adriana Ochoa-Morales
- Genetics Department, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | | | | | - Michelle Breda-Yepes
- National Institute of Neurology and Neurosurgery, Epilepsy Clinic, Mexico City, Mexico
| | - Reyna M Durón
- Universidad Tecnológica Centroamericana (UNITEC), Tegucigalpa, Honduras
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Gadhia VV, Loyal J. Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa. Yale J Biol Med 2024; 97:67-72. [PMID: 38559462 PMCID: PMC10964814 DOI: 10.59249/zbsc2656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background: Adverse outcomes from gestational diabetes mellitus (GDM) in the mother and newborn are well established. Genetic variants may predict GDM and Artificial Intelligence (AI) can potentially assist with improved screening and early identification in lower resource settings. There is limited information on genetic variants associated with GDM in sub-Saharan Africa and the implementation of AI in GDM screening in sub-Saharan Africa is largely unknown. Methods: We reviewed the literature on what is known about genetic predictors of GDM in sub-Saharan African women. We searched PubMed and Google Scholar for single nucleotide polymorphisms (SNPs) involved in GDM predisposition in a sub-Saharan African population. We report on barriers that limit the implementation of AI that could assist with GDM screening and offer possible solutions. Results: In a Black South African cohort, the minor allele of the SNP rs4581569 existing in the PDX1 gene was significantly associated with GDM. We were not able to find any published literature on the implementation of AI to identify women at risk of GDM before second trimester of pregnancy in sub-Saharan Africa. Barriers to successful integration of AI into healthcare systems are broad but solutions exist. Conclusions: More research is needed to identify SNPs associated with GDM in sub-Saharan Africa. The implementation of AI and its applications in the field of healthcare in the sub-Saharan African region is a significant opportunity to positively impact early identification of GDM.
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Affiliation(s)
| | - Jaspreet Loyal
- Department of Pediatrics, Yale School of Medicine, New
Haven CT, USA
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Matos J, Helle E, Care M, Moayedi Y, Gollob MH, Thavendiranathan P, Spears D, Hanneman K. Cardiac MRI and Clinical Outcomes in TMEM43 Arrhythmogenic Cardiomyopathy. Radiol Cardiothorac Imaging 2023; 5:e230155. [PMID: 38166344 DOI: 10.1148/ryct.230155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Arrhythmogenic cardiomyopathy is an inherited cardiomyopathy that can involve both ventricles. Several genes have been identified as pathogenic in arrhythmogenic cardiomyopathy, including TMEM43. However, there are limited data on cardiac MRI findings in patients with TMEM43 variants to date. In this case series, cardiac MRI findings and clinical outcomes are described in 14 patients with TMEM43 variants, including eight (57%) with the pathogenic p.Ser358Leu variant (six female patients; mean age, 33 years ± 15 [SD]) and six (43%) with a TMEM43 variant of unknown significance (three female patients; mean age, 38 years ± 11). MRI findings demonstrated left ventricular systolic dysfunction in eight (57%) patients and right ventricular dysfunction in four (29%) patients. Among the nine patients with late gadolinium enhancement imaging, left ventricular late gadolinium enhancement was present in seven (78%; all subepicardial) patients. In summary, TMEM43 variants are associated with high prevalence of subepicardial late gadolinium enhancement and left ventricular dysfunction. Keywords: Arrhythmogenic Cardiomyopathy, Arrhythmogenic Right Ventricular Cardiomyopathy, TMEM43, Cardiac MRI, Genetic Variants Supplemental material is available for this article.
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Affiliation(s)
- João Matos
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Emmi Helle
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Melanie Care
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Yasbanoo Moayedi
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Michael H Gollob
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Paaladinesh Thavendiranathan
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Danna Spears
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
| | - Kate Hanneman
- From the Department of Medical Imaging (J.M., P.T., K.H.) and Division of Cardiology (E.H., M.C., Y.M., M.H.G., P.T., D.S.), Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Paediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada (E.H.); Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland (E.H.); Department of Molecular Genetics, University of Toronto, Toronto, Canada (M.C.); and Toronto General Hospital Research Institute, University Health Network (UHN), University of Toronto, Toronto, Canada (M.H.G., P.T., K.H.)
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Mao XT, Zou WB, Cao Y, Wang YC, Deng SJ, Cooper DN, Férec C, Li ZS, Chen JM, Liao Z. The CEL-HYB1 Hybrid Allele Promotes Digestive Enzyme Misfolding and Pancreatitis in Mice. Cell Mol Gastroenterol Hepatol 2022; 14:55-74. [PMID: 35398595 PMCID: PMC9117557 DOI: 10.1016/j.jcmgh.2022.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS A hybrid allele that originated from homologous recombination between CEL and its pseudogene (CELP), CEL-HYB1 increases the risk of chronic pancreatitis (CP). Although suggested to cause digestive enzyme misfolding, definitive in vivo evidence for this postulate has been lacking. METHODS CRISPR-Cas9 was used to generate humanized mice harboring the CEL-HYB1 allele on a C57BL/6J background. Humanized CEL mice and C57BL/6J mice were used as controls. Pancreata were collected and analyzed by histology, immunohistochemistry, immunoblotting, and transcriptomics. Isolated pancreatic acini were cultured in vitro to measure the secretion and aggregation of CEL-HYB1 protein. Mice were given caerulein injections to induce acute pancreatitis (AP) and CP. RESULTS Pancreata from mice expressing CEL-HYB1 developed pathological features characteristic of focal pancreatitis that included acinar atrophy and vacuolization, inflammatory infiltrates, and fibrosis in a time-dependent manner. CEL-HYB1 expression in pancreatic acini led to decreased secretion and increased intracellular aggregation and triggered endoplasmic reticulum stress compared with CEL. The autophagy levels of pancreata from mice expressing CEL-HYB1 changed at different developmental stages; some aged CEL-HYB1 mice exhibited an accumulation of large autophagic vesicles and impaired autophagy in acinar cells. Administration of caerulein increased the severity of AP/CP in mice expressing CEL-HYB1 compared with control mice, accompanied by higher levels of endoplasmic reticulum stress. CONCLUSIONS Expression of a humanized form of CEL-HYB1 in mice promotes endoplasmic reticulum stress and pancreatitis through a misfolding-dependent pathway. Impaired autophagy appears to be involved in the pancreatic injury in aged CEL-HYB1 mice. These mice have the potential to be used as a model to identify therapeutic targets for CP.
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Affiliation(s)
- Xiao-Tong Mao
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Wen-Bin Zou
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China,Wen-Bin Zou, Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, 168 Changhai Road, Shanghai 200433, China. tel: 0086-21-31161353; fax: 0086-21-55621735.
| | - Yu Cao
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Yuan-Chen Wang
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | | | - David N. Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Claude Férec
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
| | - Zhao-Shen Li
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Jian-Min Chen
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
| | - Zhuan Liao
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai, China,Shanghai Institute of Pancreatic Diseases, Shanghai, China,Correspondence Address correspondence to: Zhuan Liao, Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, 168 Changhai Road, Shanghai 200433, China. tel: 0086-21-31161004; fax: 0086-21-55621735.
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Liu Z, Suo C, Shi O, Lin C, Zhao R, Yuan H, Jin L, Zhang T, Chen X. The Health Impact of MAFLD, a Novel Disease Cluster of NAFLD, Is Amplified by the Integrated Effect of Fatty Liver Disease-Related Genetic Variants. Clin Gastroenterol Hepatol 2022; 20:e855-e875. [PMID: 33387670 DOI: 10.1016/j.cgh.2020.12.033] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Metabolic dysfunction-associated fatty liver disease (MAFLD) is a newly proposed disease category that derived from non-alcoholic fatty liver disease. The impact of MAFLD on health events has not been investigated. METHODS UK Biobank participants were diagnosed for whether MAFLD presented at baseline. Five genetic variants (PNPLA3 rs738409 C/G, TM6SF2 rs58542926 C/T, GCKR rs1260326 T/C, MBOAT7 rs641738 C/T, and HSD17B13 rs72613567 T/TA) were integrated into a genetic risk score (GRS). Cox proportional hazard model was used to examine the association of MAFLD with incident diseases. RESULTS A total of 160 979 (38.0%, 95% confidence interval [CI] 37.9%, 38.2%) participants out of 423 252 were diagnosed as MAFLD. Compared with participants without MAFLD, MAFLD cases had multivariate adjusted hazard ratio (HR) for liver cancer of 1.59 (95% CI, 1.28, 1.98), cirrhosis of 2.77 (2.29, 3.36), other liver diseases of 2.09 (1.95, 2.24), cardiovascular diseases of 1.39 (1.34, 1.44), renal diseases of 1.56 (1.48, 1.65), and cancers of 1.07 (1.05, 1.10). The impact of MAFLD, especially on hepatic events, was amplified by high GRS, of which the genetic variations in PNPLA3, TM6SF2, and MBOAT7 play the principal roles. MAFLD case with normal body weight is also associated with an increased risk of hepatic outcomes, but the genetic factor seems do not influence the risk in this subpopulation. CONCLUSIONS MAFLD is independently associated with an increased risk of both intrahepatic and extrahepatic events. Fatty liver disease related genetic variants amplify the effect of MAFLD on disease outcomes.
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Affiliation(s)
- Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China; Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Oumin Shi
- Health Science Center, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Chunqing Lin
- National Clinical Research Center for Cancer, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Renjia Zhao
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China; Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Huangbo Yuan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Tiejun Zhang
- Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China; Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China.
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Yeo J, Sia AT, Sultana R, Sng BL, Tan EC. Analysis of SCN9A Gene Variants for Acute and Chronic Postoperative Pain and Morphine Consumption After Total Hysterectomy. Pain Med 2020; 21:2642-2649. [PMID: 32403129 DOI: 10.1093/pm/pnaa109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) of the voltage-gated sodium channel alpha subunit gene (SCN9A) have been associated with pain in various settings. The aim of this study was to investigate the association of the SNPs to evaluate the influence of common gene variants on chronic postoperative pain (CPSP) and other related pain variables in a cohort of patients who underwent a scheduled hysterectomy. METHODS DNA samples from a cohort of 1,075 patients who underwent a scheduled total hysterectomy in our hospital were genotyped for three common SCN9A SNPs using TaqMan assays. Multivariate logistic regression models were used to quantify the association between independent covariates such as pain threshold, pain endurance, pain scores, morphine use, and the presence of chronic pain. RESULTS Frequencies of the minor alleles were different between the different ethnic groups. There was a statistically significant association of rs16851799 with morphine consumption and self-reported postoperative pain for the 1,038 subjects genotyped, with the TT genotype reporting higher pain and using more morphine. For the subpopulation of 446 subjects with chronic pain data, there was a similar association with self-reported postoperative pain and tolerance of pressure pain. Univariate analysis also showed a statistically significant association of rs16851799 with CPSP, whereas multivariable analysis revealed a similar association of rs4387806 with this outcome. There were three haplotypes with different relative frequencies for the CPSP and non-CPSP groups. CONCLUSIONS Our results showed that SCN9A polymorphisms could play a role in acute pain perception and the susceptibility to chronic pain.
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Affiliation(s)
| | - Alex T Sia
- Department of Women's Anaesthesia, KK Women's and Children's Hospital, Singapore
| | - Rehana Sultana
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - Ban Leong Sng
- Department of Women's Anaesthesia, KK Women's and Children's Hospital, Singapore
| | - Ene-Choo Tan
- Research Laboratory, KK Women's and Children's Hospital and Paediatrics Academic Clinical Programme, SingHealth Duke-NUS Medical School, Singapore
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Mohd Khair SZN, Ismail AS, Embong Z, Mohamed Yusoff AA. Detection of FZD4, LRP5 and TSPAN12 Genes Variants in Malay Premature Babies with Retinopathy of Prematurity. J Ophthalmic Vis Res 2019; 14:171-178. [PMID: 31114654 PMCID: PMC6504731 DOI: 10.4103/jovr.jovr_210_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Purpose: To determine the mutational analyses of familial exudative vitreoretinopathy (FEVR)-causing genes in Malay patients with retinopathy of prematurity (ROP) to obtain preliminary data for gene alterations in the Malay community. Methods: A comparative cross-sectional study involving 86 Malay premature babies (ROP = 41 and non-ROP = 45) was performed from September 2012 to December 2014. Mutation analyses in (FEVR)-causing genes (NDP, FZD4, LRP5, and TSPAN12) were performed using DNA from premature babies using polymerase chain reaction (PCR) and direct sequencing. Sequencing results were confirmed with PCR-Restriction Fragment Length Polymorphism (RFLP). Results: We found variants of FZD4, LRP5, and TSPAN12 in this study. One patient from each group showed a non-synonymous alteration in FZD4, c.502C>T (p.P168S). A synonymous variant of LRP5 [c.3357G>A (p.V1119V)] was found in 30 ROP and 28 non-ROP patients. Two variants of TSPAN12, c.765G>T (p.P255P) and c.*39C>T (3′UTR), were also recorded (29 and 21 in ROP, 33 and 26 in non-ROP, respectively). Gestational age and birth weight were found to be significantly associated with ROP (P value < 0.001 and 0.001, respectively). Conclusion: Analysis of data obtained from the ROP Malay population will enhance our understanding of these FEVR-causing gene variants. The c.3357G>A (p.V1119V) variant of LRP5, and c.765G>T (p.P255P) and c.*39C>T variants of TSPAN12 could be common polymorphisms in the Malay ethnic group; however, this requires further elucidation. Future studies using larger groups and higher numbers of advanced cases are necessary to evaluate the relationship between FEVR-causing gene variants and the risk of ROP susceptibility in Malaysian infants.
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Affiliation(s)
- Siti Zulaikha Nashwa Mohd Khair
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Abdul Salim Ismail
- Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Zunaina Embong
- Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Abdul Aziz Mohamed Yusoff
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
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Lu Y, Kweon SS, Tanikawa C, Jia WH, Xiang YB, Cai Q, Zeng C, Schmit SL, Shin A, Matsuo K, Jee SH, Kim DH, Kim J, Wen W, Shi J, Guo X, Li B, Wang N, Zhang B, Li X, Shin MH, Li HL, Ren Z, Oh JH, Oze I, Ahn YO, Jung KJ, Conti DV, Schumacher FR, Rennert G, Jenkins MA, Campbell PT, Hoffmeister M, Casey G, Gruber SB, Gao J, Gao YT, Pan ZZ, Kamatani Y, Zeng YX, Shu XO, Long J, Matsuda K, Zheng W. Large-Scale Genome-Wide Association Study of East Asians Identifies Loci Associated With Risk for Colorectal Cancer. Gastroenterology 2019; 156:1455-1466. [PMID: 30529582 PMCID: PMC6441622 DOI: 10.1053/j.gastro.2018.11.066] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 11/26/2018] [Accepted: 11/30/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS Genome-wide association studies (GWASs) have associated approximately 50 loci with risk of colorectal cancer (CRC)-nearly one third of these loci were initially associated with CRC in studies conducted in East Asian populations. We conducted a GWAS of East Asians to identify CRC risk loci and evaluate the generalizability of findings from GWASs of European populations to Asian populations. METHODS We analyzed genetic data from 22,775 patients with CRC (cases) and 47,731 individuals without cancer (controls) from 14 studies in the Asia Colorectal Cancer Consortium. First, we performed a meta-analysis of 7 GWASs (10,625 cases and 34,595 controls) and identified 46,554 promising risk variants for replication by adding them to the Multi-Ethnic Global Array (MEGA) for genotype analysis in 6445 cases and 7175 controls. These data were analyzed, along with data from an additional 5705 cases and 5961 controls genotyped using the OncoArray. We also obtained data from 57,976 cases and 67,242 controls of European descent. Variants at identified risk loci were functionally annotated and evaluated in correlation with gene expression levels. RESULTS A meta-analyses of all samples from people of Asian descent identified 13 loci and 1 new variant at a known locus (10q24.2) associated with risk of CRC at the genome-wide significance level of P < 5 × 10-8. We did not perform experiments to replicate these associations in additional individuals of Asian ancestry. However, the lead risk variant in 6 of these loci was also significantly associated with risk of CRC in European descendants. A strong association (44%-75% increase in risk per allele) was found for 2 low-frequency variants: rs201395236 at 1q44 (minor allele frequency, 1.34%) and rs77969132 at 12p11.21 (minor allele frequency, 1.53%). For 8 of the 13 associated loci, the variants with the highest levels of significant association were located inside or near the protein-coding genes L1TD1, EFCAB2, PPP1R21, SLCO2A1, HLA-G, NOTCH4, DENND5B, and GNAS. For other intergenic loci, we provided evidence for the possible involvement of the genes ALDH7A1, PRICKLE1, KLF5, WWOX, and GLP2R. We replicated findings for 41 of 52 previously reported risk loci. CONCLUSIONS We showed that most of the risk loci previously associated with CRC risk in individuals of European descent were also associated with CRC risk in East Asians. Furthermore, we identified 13 loci significantly associated with risk for CRC in Asians. Many of these loci contained genes that regulate the immune response, Wnt signaling to β-catenin, prostaglandin E2 catabolism, and cell pluripotency and proliferation. Further analyses of these genes and their variants is warranted, particularly for the 8 loci for which the lead CRC risk variants were not replicated in persons of European descent.
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Affiliation(s)
- Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, South Korea
| | - Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Chenjie Zeng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, Korea
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Nan Wang
- General Surgery Department, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Ben Zhang
- Department of Epidemiology and Biostatistics First Affiliated Hospital, Army Medical University, Shapingba District, Chongqing, China
| | - Xinxiang Li
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Hong-Lan Li
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zefang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea
| | - Isao Oze
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Keum Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - David V Conti
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio
| | - Gad Rennert
- Clalit Health Services National Israeli Cancer Control Center, Haifa, Israel; Department of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, Israel; Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Stephen B Gruber
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jing Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhi-Zhong Pan
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan; Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yi-Xin Zeng
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
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Elnaggar J, Tsien F, Yates C, Davis M, Miele L, Hicks C. An Integrative Genomics Approach for Associating Genetic Susceptibility with the Tumor Immune Microenvironment in Triple Negative Breast Cancer. Biomed J Sci Tech Res 2019; 15:11074-11085. [PMID: 38618278 PMCID: PMC11013954 DOI: 10.26717/bjstr.2019.15.002642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Background Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. It is a heterogeneous disease with poor prognosis. Contributing to the worse prognosis in TNBC is the higher rates of relapse and rapid progression to metastatic disease which is often lethal. With the exception of cytotoxic chemotherapy, there is currently no effective targeted therapies. Immunotherapy such as vaccines offer new opportunities for treatment of TNBC. But realizing the potential of immunotherapy and vaccination may require understanding the association between the tumor immune microenvironment and genetic susceptibility to TNBC. The objective of this exploratory study was to investigate the potential association between genetic susceptibility and tumor immune microenvironment in TNBC. Methods We integrated information on genetic variants and genes associated with an increased risk of developing breast cancer with gene expression data from the Caucasian women diagnosed with the basal-like immune activated (N=54) and basal-like immune suppressed (N=60) subtypes of TNBC to discover and characterize immune modulated gene signatures, molecular networks and biological pathways enriched for genetic susceptibility variants. Results The investigation revealed immune modulated gene signatures, molecular networks and biological pathways enriched for genetic susceptibility variants. The discovered pathways included the role of BRCA1 in DNA damage response, hereditary breast cancer, aryl hydrocarbon receptor and molecular mechanisms of cancer signaling pathways. Conclusion The investigation suggests the link between genetic susceptibility and the tumor immune microenvironment in TNBC and establishes putative functional bridges between genetic predisposition and immune modulated pathways.
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Affiliation(s)
- Jacob Elnaggar
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Fern Tsien
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Clayton Yates
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee AL, 36088
| | - Melisa Davis
- Henry Ford Health System, One Ford Place, 3CE, Detroit, MI 48202
| | - Lucio Miele
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Chindo Hicks
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
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11
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Park S, Liu M, Kang S. Alcohol Intake Interacts with CDKAL1, HHEX, and OAS3 Genetic Variants, Associated with the Risk of Type 2 Diabetes by Lowering Insulin Secretion in Korean Adults. Alcohol Clin Exp Res 2018; 42:2326-2336. [PMID: 30207601 DOI: 10.1111/acer.13888] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 08/29/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Since alcohol intake increases the prevalence of type 2 diabetes (T2DM) in Koreans, we tested the hypothesis that the interactions of genetic variants involved in β-cell function and mass with alcohol intake increase the T2DM risk. METHODS The single nucleotide polymorphisms (SNPs) were selected by genome-wide association study for insulin secretion after adjusting for age, gender, area of residence, body mass index, and alcohol intake (p < 1 × 10-4 ) in 8,842 middle-aged adults in the Ansan/Ansung cohort. Genetic risk scores (GRSs) were calculated by summing the risk alleles of 4 selected SNPs, CDKAL1 rs7754840 and rs9460546, HHEX rs5015480, and OAS3 rs2072134. The GRSs were categorized into 3 groups by tertiles, and the association between GRS and insulin secretion was measured using logistic regression after adjusting for confounding factors in the Ansan/Ansung cohort. The results were confirmed by the Rural cohort. RESULTS HOMA-IR was higher and HOMA-B was much lower in the High-GRS than the Low-GRS in both cohorts. T2DM risk was higher by approximately 1.5-fold in the High-GRS than in the Low-GRS in both cohorts. In the High-GRS group, HOMA-B decreased by 0.89- and 0.62-fold in comparison with the Low-GRS in the Ansan/Ansung cohort and Rural cohort. The GRS interacted with alcohol intake to increase the risk of developing T2DM in the Ansan/Ansung cohort (p = 0.036) and Rural cohort (p = 0.071). The risk of T2DM increased in the High-GRS group with high alcohol intake and it was associated with decreased HOMA-B. High alcohol intake decreased HOMA-B regardless of GRS, and HOMA-B was lower in the descending order of Medium-GRS, Low-GRS, and High-GRS. However, HOMA-IR was not altered by alcohol intake, but was elevated in the High-GRS more than in the other groups. CONCLUSIONS Subjects with a High-GRS had an elevated risk of T2DM even with moderate alcohol intakes due to lower HOMA-B. High alcohol intake appears to be a risk factor for all Asians regardless of alcohol intake.
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Affiliation(s)
- Sunmin Park
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
| | - Meiling Liu
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
| | - Suna Kang
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
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12
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Dong J, Levine DM, Buas MF, Zhang R, Onstad L, Fitzgerald RC, Corley DA, Shaheen NJ, Lagergren J, Hardie LJ, Reid BJ, Iyer PG, Risch HA, Caldas C, Caldas I, Pharoah PD, Liu G, Gammon MD, Chow WH, Bernstein L, Bird NC, Ye W, Wu AH, Anderson LA, MacGregor S, Whiteman DC, Vaughan TL, Thrift AP. Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett's Esophagus. Clin Gastroenterol Hepatol 2018; 16:1598-1606.e4. [PMID: 29551738 PMCID: PMC6162842 DOI: 10.1016/j.cgh.2018.03.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 02/23/2018] [Accepted: 03/09/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Genome-wide association studies (GWAS) have identified more than 20 susceptibility loci for esophageal adenocarcinoma (EA) and Barrett's esophagus (BE). However, variants in these loci account for a small fraction of cases of EA and BE. Genetic factors might interact with environmental factors to affect risk of EA and BE. We aimed to identify single nucleotide polymorphisms (SNPs) that may modify the associations of body mass index (BMI), smoking, and gastroesophageal reflux disease (GERD), with risks of EA and BE. METHODS We collected data on single BMI measurements, smoking status, and symptoms of GERD from 2284 patients with EA, 3104 patients with BE, and 2182 healthy individuals (controls) participating in the Barrett's and Esophageal Adenocarcinoma Consortium GWAS, the UK Barrett's Esophagus Gene Study, and the UK Stomach and Oesophageal Cancer Study. We analyzed 993,501 SNPs in DNA samples of all study subjects. We used standard case-control logistic regression to test for gene-environment interactions. RESULTS For EA, rs13429103 at chromosome 2p25.1, near the RNF144A-LOC339788 gene, showed a borderline significant interaction with smoking status (P = 2.18×10-7). Ever smoking was associated with an almost 12-fold increase in risk of EA among individuals with rs13429103-AA genotype (odds ratio=11.82; 95% CI, 4.03-34.67). Three SNPs (rs12465911, rs2341926, rs13396805) at chromosome 2q23.3, near the RND3-RBM43 gene, interacted with GERD symptoms (P = 1.70×10-7, P = 1.83×10-7, and P = 3.58×10-7, respectively) to affect risk of EA. For BE, rs491603 at chromosome 1p34.3, near the EIF2C3 gene, and rs11631094 at chromosome 15q14, at the SLC12A6 gene, interacted with BMI (P = 4.44×10-7) and pack-years of smoking history (P = 2.82×10-7), respectively. CONCLUSION The associations of BMI, smoking, and GERD symptoms with risks of EA and BE appear to vary with SNPs at chromosomes 1, 2, and 15. Validation of these suggestive interactions is warranted.
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Affiliation(s)
- Jing Dong
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - David M Levine
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Matthew F Buas
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Rui Zhang
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Lynn Onstad
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Rebecca C Fitzgerald
- Medical Research Council Cancer Unit, Hutchison-MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, California; San Francisco Medical Center, Kaiser Permanente Northern California, San Francisco, California
| | - Nicholas J Shaheen
- Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Jesper Lagergren
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; School of Cancer Sciences, King's College London, London, United Kingdom
| | - Laura J Hardie
- Division of Epidemiology, LICAMM, School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Brian J Reid
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Prasad G Iyer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Carlos Caldas
- Cancer Research UK, Cambridge Institute, Cambridge, United Kingdom; Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Isabel Caldas
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Paul D Pharoah
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Geoffrey Liu
- Pharmacogenomic Epidemiology, Ontario Cancer Institute, Toronto, Canada
| | - Marilie D Gammon
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Wong-Ho Chow
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute and City of Hope Comprehensive Cancer Center, Duarte, California
| | - Nigel C Bird
- Department of Oncology, Medical School, University of Sheffield, Sheffield, United Kingdom
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California
| | - Lesley A Anderson
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - David C Whiteman
- Cancer Control, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Thomas L Vaughan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Aaron P Thrift
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
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