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Kang KW, Hong KW, Lee SK. Identification of novel variants for complicating cardiac disease in the scrub typhus infection using whole genome sequencing. Korean J Intern Med 2023; 38:865-871. [PMID: 37939667 PMCID: PMC10636548 DOI: 10.3904/kjim.2023.221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND/AIMS Scrub typhus infection has been known to complicate cardiovascular diseases mainly attributing to high mortality. Genetic susceptibility loci for complicating cardiac diseases such as atrial fibrillation, heart failure, and ischemic heart disease identified by genomic study have been limited in scrub typhus infection. Therefore, we investigated the genetic novel variants predicting complicating cardiac diseases in patients with confirmed scrub typhus infection using whole genome sequencing. METHODS We performed a prospective study for eight consecutive patients with scrub typhus infection. During follow-up, six cases were clinically diagnosed with complicating cardiac diseases and two controls without complicating cardiac diseases. The whole genomes of the all patients were sequenced, and the individual sequence variants were compared between accordcase and control patients. Variant genotypes were compared and identified as a single nucleotide polymorphism (SNP) of the different genotype distributions between six cases and two controls. RESULTS The GG genotype in SNP (rs4977397) of solute carrier 24 family member 2 (SLC24A2) gene and non-TT genotype in SNP (rs2676750) of adenosine deaminase, RNA specific, B2 (ADARB2) gene were distinctively found in the case patients with complicated cardiac disease, compared with control patents in the scrub typhus infection. CONCLUSION We suggest that the SNPs of SLC24A2 and ADARB2 might be genetic surrogate markers for complicating cardiac diseases in the scrub typhus infection. Our study show that early detection based on individual sequence variants might be feasible to predict complicating cardiac diseases in patients with scrub typhus infection, if further studies with more participants confirm these findings.
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Affiliation(s)
- Ki-Woon Kang
- Division of Cardiology, Chung-Ang University Hospital, Chung-Ang University School of Medicine, Seoul,
Korea
| | | | - Seong-Kyu Lee
- Division of Endocrinology, Department of Internal Medicine, Eulji University Hospital, Daejeon,
Korea
- Department of Biochemistry-Molecular Biology, Eulji University School of Medicine, Daejeon,
Korea
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2
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Larach DB, Lewis A, Bastarache L, Pandit A, He J, Sinha A, Douville NJ, Heung M, Mathis MR, Mosley JD, Wanderer JP, Kheterpal S, Zawistowski M, Brummett CM, Siew ED, Robinson-Cohen C, Kertai MD. Limited clinical utility for GWAS or polygenic risk score for postoperative acute kidney injury in non-cardiac surgery in European-ancestry patients. BMC Nephrol 2022; 23:339. [PMID: 36271344 PMCID: PMC9587619 DOI: 10.1186/s12882-022-02964-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/27/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Prior studies support a genetic basis for postoperative acute kidney injury (AKI). We conducted a genome-wide association study (GWAS), assessed the clinical utility of a polygenic risk score (PRS), and estimated the heritable component of AKI in patients who underwent noncardiac surgery. METHODS We performed a retrospective large-scale genome-wide association study followed by a meta-analysis of patients who underwent noncardiac surgery at the Vanderbilt University Medical Center ("Vanderbilt" cohort) or Michigan Medicine, the academic medical center of the University of Michigan ("Michigan" cohort). In the Vanderbilt cohort, the relationship between polygenic risk score for estimated glomerular filtration rate and postoperative AKI was also tested to explore the predictive power of aggregating multiple common genetic variants associated with AKI risk. Similarly, in the Vanderbilt cohort genome-wide complex trait analysis was used to estimate the heritable component of AKI due to common genetic variants. RESULTS The study population included 8248 adults in the Vanderbilt cohort (mean [SD] 58.05 [15.23] years, 50.2% men) and 5998 adults in Michigan cohort (56.24 [14.76] years, 49% men). Incident postoperative AKI events occurred in 959 patients (11.6%) and in 277 patients (4.6%), respectively. No loci met genome-wide significance in the GWAS and meta-analysis. PRS for estimated glomerular filtration rate explained a very small percentage of variance in rates of postoperative AKI and was not significantly associated with AKI (odds ratio 1.050 per 1 SD increase in polygenic risk score [95% CI, 0.971-1.134]). The estimated heritability among common variants for AKI was 4.5% (SE = 4.5%) suggesting low heritability. CONCLUSION The findings of this study indicate that common genetic variation minimally contributes to postoperative AKI after noncardiac surgery, and likely has little clinical utility for identifying high-risk patients.
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Affiliation(s)
- Daniel B Larach
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anita Pandit
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anik Sinha
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas J Douville
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
- Institute of Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA
| | - Michael Heung
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michael R Mathis
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan D Mosley
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan P Wanderer
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | | | - Chad M Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Edward D Siew
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI (VIP-AKI), Tennessee Valley Health System, Nashville Veterans Affairs Hospital, Nashville, TN, USA
| | - Cassianne Robinson-Cohen
- Vanderbilt O'Brien Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Miklos D Kertai
- Division of Adult Cardiothoracic Anesthesiology, Department of Anesthesiology, Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Office 526E, Nashville, TN, 37212, USA.
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3
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Su R, Qiao X, Gao Y, Li X, Jiang W, Chen W, Fan Y, Zheng B, Zhang Y, Liu Z, Wang R, Wang Z, Wang Z, Wan W, Dong Y, Li J. Draft Genome of the European Mouflon ( Ovis orientalis musimon). Front Genet 2020; 11:533611. [PMID: 33329689 PMCID: PMC7710762 DOI: 10.3389/fgene.2020.533611] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 10/26/2020] [Indexed: 11/13/2022] Open
Abstract
Mouflon (Ovis orientalis) with its huge and beautiful horns is considered as one of the ancestors of domesticated sheep. The European mouflon (Ovis orientalis musimon) is in the Asiatic mouflon (O. orientalis) clade. In order to provide novel genome information for mouflon, moreover promote genetic analysis of genus Ovis both domestic and wild, we propose to sequence the mouflon genome. We assembled the highly heterozygous mouflon genome based on Illumina HiSeq platform using the next-generation sequencing technology. Finally, the draft genome we accessed approximately 2.69 Gb (42.15% GC), while N50 sizes of contig and scaffold are 110.1 kb and 10.4 Mb, respectively. The contiguity of this assembly is obviously better than earlier versions. Further analyses predicted 20,814 protein-coding genes in the mouflon genome and 12,390 shared gene families among bovine species. It is estimated that the divergence time between O. orientalis musimon and Ovis aries was 7.6 million years ago. The draft mouflon genome assembly will provide data support and theoretical basis for various investigations of the genus Ovis species in future.
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Affiliation(s)
- Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xian Qiao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yun Gao
- NOWBIO Technology Co. Ltd, Kunming, China
| | - Xiaokai Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Wei Jiang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Wei Chen
- College of Biological Big Data, Yunnan Agricultural University, Kunming, China
- Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, China
| | - Yixing Fan
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Bingwu Zheng
- Daqingshan Wild Animal Park, Hohhot Gardens Management Bureau, Hohhot, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
| | - Zhihong Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
| | - Zhixin Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
| | - Wenting Wan
- Key Laboratory for Space Bioscience and Biotechnology, Center for Ecological and Environmental Sciences, Northwestern Polytechnical University, Xi’an, China
| | - Yang Dong
- College of Biological Big Data, Yunnan Agricultural University, Kunming, China
- Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, China
| | - Jinquan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Engineering Research Center for Goat Genetics and Breeding, Inner Mongolia Autonomous Region, Hohhot, China
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Fouz MF, Appella DH. PNA Clamping in Nucleic Acid Amplification Protocols to Detect Single Nucleotide Mutations Related to Cancer. Molecules 2020; 25:molecules25040786. [PMID: 32059456 PMCID: PMC7070360 DOI: 10.3390/molecules25040786] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 01/30/2020] [Accepted: 02/02/2020] [Indexed: 01/02/2023] Open
Abstract
This review describes the application of peptide nucleic acids (PNAs) as clamps that prevent nucleic acid amplification of wild-type DNA so that DNA with mutations may be observed. These methods are useful to detect single-nucleotide polymorphisms (SNPs) in cases where there is a small amount of mutated DNA relative to the amount of normal (unmutated/wild-type) DNA. Detecting SNPs arising from mutated DNA can be useful to diagnose various genetic diseases, and is especially important in cancer diagnostics for early detection, proper diagnosis, and monitoring of disease progression. Most examples use PNA clamps to inhibit PCR amplification of wild-type DNA to identify the presence of mutated DNA associated with various types of cancer.
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Klein SL, Scheper C, Brügemann K, Swalve HH, König S. Phenotypic relationships, genetic parameters, genome-wide associations, and identification of potential candidate genes for ketosis and fat-to-protein ratio in German Holstein cows. J Dairy Sci 2019; 102:6276-6287. [PMID: 31056336 DOI: 10.3168/jds.2019-16237] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Accepted: 03/14/2019] [Indexed: 12/21/2022]
Abstract
Energy demand for milk production in early lactation exceeds energy intake, especially in high-yielding Holstein cows. Energy deficiency causes increasing susceptibility to metabolic disorders. In addition to several blood parameters, the fat-to-protein ratio (FPR) is suggested as an indicator for ketosis, because a FPR >1.5 refers to high lipolysis. The aim of this study was to analyze phenotypic, quantitative genetic, and genomic associations between FPR and ketosis. In this regard, 8,912 first-lactation Holstein cows were phenotyped for ketosis according to a veterinarian diagnosis key. Ketosis was diagnosed if the cow showed an abnormal carbohydrate metabolism with increased content of ketone bodies in the blood or urine. At least one entry for ketosis in the first 6 wk after calving implied a score = 1 (diseased); otherwise, a score = 0 (healthy) was assigned. The FPR from the first test-day was defined as a Gaussian distributed trait (FPRgauss), and also as a binary response trait (FPRbin), considering a threshold of FPR = 1.5. After imputation and quality controls, 45,613 SNP markers from the 8,912 genotyped cows were used for genomic studies. Phenotypically, an increasing ketosis incidence was associated with significantly higher FPR, and vice versa. Hence, from a practical trait recording perspective, first test-day FPR is suggested as an indicator for ketosis. The ketosis heritability was slightly larger when modeling the pedigree-based relationship matrix (pedigree-based: 0.17; SNP-based: 0.11). For FPRbin, heritabilities were larger when modeling the genomic relationship matrix (pedigree-based: 0.09; SNP-based: 0.15). For FPRgauss, heritabilities were almost identical for both pedigree and genomic relationship matrices (pedigree-based: 0.14; SNP-based: 0.15). Genetic correlations between ketosis with FPRbin and FPRgauss using either pedigree- or genomic-based relationship matrices were in a moderate range from 0.39 to 0.71. Applying genome-wide association studies, we identified the specific SNP rs109896020 (BTA 5, position: 115,456,438 bp) significantly contributing to ketosis. The identified potential candidate gene PARVB in close chromosomal distance is associated with nonalcoholic fatty liver disease in humans. The most important SNP contributing to FPRbin was located within the DGAT1 gene. Different SNP significantly contributed to ketosis and FPRbin, indicating different mechanisms for both traits genomically.
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Affiliation(s)
- S-L Klein
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, 35390 Gießen, Germany.
| | - C Scheper
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, 35390 Gießen, Germany
| | - K Brügemann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, 35390 Gießen, Germany
| | - H H Swalve
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - S König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, 35390 Gießen, Germany
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6
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Kung CP, Maggi LB, Weber JD. The Role of RNA Editing in Cancer Development and Metabolic Disorders. Front Endocrinol (Lausanne) 2018; 9:762. [PMID: 30619092 PMCID: PMC6305585 DOI: 10.3389/fendo.2018.00762] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 12/03/2018] [Indexed: 12/26/2022] Open
Abstract
Numerous human diseases arise from alterations of genetic information, most notably DNA mutations. Thought to be merely the intermediate between DNA and protein, changes in RNA sequence were an afterthought until the discovery of RNA editing 30 years ago. RNA editing alters RNA sequence without altering the sequence or integrity of genomic DNA. The most common RNA editing events are A-to-I changes mediated by adenosine deaminase acting on RNA (ADAR), and C-to-U editing mediated by apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1). Both A-to-I and C-to-U editing were first identified in the context of embryonic development and physiological homeostasis. The role of RNA editing in human disease has only recently started to be understood. In this review, the impact of RNA editing on the development of cancer and metabolic disorders will be examined. Distinctive functions of each RNA editase that regulate either A-to-I or C-to-U editing will be highlighted in addition to pointing out important regulatory mechanisms governing these processes. The potential of developing novel therapeutic approaches through intervention of RNA editing will be explored. As the role of RNA editing in human disease is elucidated, the clinical utility of RNA editing targeted therapies will be needed. This review aims to serve as a bridge of information between past findings and future directions of RNA editing in the context of cancer and metabolic disease.
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Affiliation(s)
- Che-Pei Kung
- ICCE Institute, Washington University School of Medicine, Saint Louis, MO, United States
- Division of Molecular Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, United States
| | - Leonard B. Maggi
- ICCE Institute, Washington University School of Medicine, Saint Louis, MO, United States
- Division of Molecular Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, United States
| | - Jason D. Weber
- ICCE Institute, Washington University School of Medicine, Saint Louis, MO, United States
- Division of Molecular Oncology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, United States
- Siteman Cancer Center, Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, United States
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Bagatini MD, dos Santos AA, Cardoso AM, Mânica A, Reschke CR, Carvalho FB. The Impact of Purinergic System Enzymes on Noncommunicable, Neurological, and Degenerative Diseases. J Immunol Res 2018; 2018:4892473. [PMID: 30159340 PMCID: PMC6109496 DOI: 10.1155/2018/4892473] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 07/03/2018] [Accepted: 07/22/2018] [Indexed: 12/11/2022] Open
Abstract
Evidences show that purinergic signaling is involved in processes associated with health and disease, including noncommunicable, neurological, and degenerative diseases. These diseases strike from children to elderly and are generally characterized by progressive deterioration of cells, eventually leading to tissue or organ degeneration. These pathological conditions can be associated with disturbance in the signaling mediated by nucleotides and nucleosides of adenine, in expression or activity of extracellular ectonucleotidases and in activation of P2X and P2Y receptors. Among the best known of these diseases are atherosclerosis, hypertension, cancer, epilepsy, Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS). The currently available treatments present limited effectiveness and are mostly palliative. This review aims to present the role of purinergic signaling highlighting the ectonucleotidases E-NTPDase, E-NPP, E-5'-nucleotidase, and adenosine deaminase in noncommunicable, neurological, and degenerative diseases associated with the cardiovascular and central nervous systems and cancer. In conclusion, changes in the activity of ectonucleotidases were verified in all reviewed diseases. Although the role of ectonucleotidases still remains to be further investigated, evidences reviewed here can contribute to a better understanding of the molecular mechanisms of highly complex diseases, which majorly impact on patients' quality of life.
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Affiliation(s)
- Margarete Dulce Bagatini
- Coordenação Acadêmica, Universidade Federal da Fronteira Sul, Campus Chapecó, Chapecó, SC, Brazil
- Programa de Pós-graduação em Ciências Biológicas-Bioquímica Toxicológica, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
| | | | - Andréia Machado Cardoso
- Coordenação Acadêmica, Universidade Federal da Fronteira Sul, Campus Chapecó, Chapecó, SC, Brazil
- Programa de Pós-graduação em Ciências Biológicas-Bioquímica Toxicológica, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
| | - Aline Mânica
- Programa de Pós-graduação em Ciências Biológicas-Bioquímica Toxicológica, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
| | - Cristina Ruedell Reschke
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Fabiano Barbosa Carvalho
- Programa de Pós-graduação em Ciências Biológicas-Bioquímica Toxicológica, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil
- Laboratório de Pesquisa em Patologia, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
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8
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Affiliation(s)
- Renjing Liu
- From the Agnes Ginges Laboratory for Diseases of the Aorta, Centenary Institute, University of Sydney, Camperdown, Australia (R.L.); Sydney Medical School, University of Sydney, Sydney, Australia (R.L.); and Section of Cardiovascular Medicine, Department of Medicine, Yale Cardiovascular Research Center (A.J.B., K.A.M.) and Department of Pharmacology, Yale School of Medicine (A.J.B., K.A.M.), Yale University, New Haven, CT
| | - Ashley J Bauer
- From the Agnes Ginges Laboratory for Diseases of the Aorta, Centenary Institute, University of Sydney, Camperdown, Australia (R.L.); Sydney Medical School, University of Sydney, Sydney, Australia (R.L.); and Section of Cardiovascular Medicine, Department of Medicine, Yale Cardiovascular Research Center (A.J.B., K.A.M.) and Department of Pharmacology, Yale School of Medicine (A.J.B., K.A.M.), Yale University, New Haven, CT
| | - Kathleen A Martin
- From the Agnes Ginges Laboratory for Diseases of the Aorta, Centenary Institute, University of Sydney, Camperdown, Australia (R.L.); Sydney Medical School, University of Sydney, Sydney, Australia (R.L.); and Section of Cardiovascular Medicine, Department of Medicine, Yale Cardiovascular Research Center (A.J.B., K.A.M.) and Department of Pharmacology, Yale School of Medicine (A.J.B., K.A.M.), Yale University, New Haven, CT.
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[Genetic factors associated with human extremely longevity; Focusing on centenarian study]. Nihon Ronen Igakkai Zasshi 2018; 55:554-561. [PMID: 30542020 DOI: 10.3143/geriatrics.55.554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
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10
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San-Cristobal R, Navas-Carretero S, Milagro FI, Riezu-Boj JI, Guruceaga E, Celis-Morales C, Livingstone KM, Brennan L, Lovegrove JA, Daniel H, Saris WH, Traczyk I, Manios Y, Gibney ER, Gibney MJ, Mathers JC, Martinez JA. Gene methylation parallelisms between peripheral blood cells and oral mucosa samples in relation to overweight. J Physiol Biochem 2017; 73:465-474. [DOI: 10.1007/s13105-017-0560-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 03/16/2017] [Indexed: 01/08/2023]
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PCR-Based Detection Methods for Single-Nucleotide Polymorphism or Mutation: Real-Time PCR and Its Substantial Contribution Toward Technological Refinement. Adv Clin Chem 2017; 80:45-72. [PMID: 28431642 DOI: 10.1016/bs.acc.2016.11.002] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Single-nucleotide polymorphisms (SNPs) and single-nucleotide mutations result from the substitution of only a single base. The SNP or mutation can be relevant to disease susceptibility, pathogenesis of disease, and efficacy of specific drugs. It is important to detect SNPs or mutations clinically. Methods to distinguish/detect SNPs or mutations should be highly specific and sensitive. In this regard, polymerase chain reaction (PCR) has provided the necessary analytical performance for many molecular analyses. PCR-based methods for SNP/mutation detection are broadly categorized into two types-(1) polymorphic or mutant allele-directed specific analysis using primers matched with substituted nucleotide or using oligonucleotides to block or clamp the nontargeted template, and (2) melting curve analysis, which is combined with the real-time PCR techniques using hydrolysis probes, hybridization probes, or double-stranded DNA-binding fluorescent dyes. Innovative and novel approaches as well as technical improvements have made SNP- or mutation-detection methods increasingly more sophisticated. These advances include DNA/RNA preparation and subsequent amplification steps, and miniaturization of PCR instruments such that testing may be performed with relative ease in clinical laboratories or as a point-of-care test in clinical settings.
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Permuth JB, Reid B, Earp M, Chen YA, Monteiro AN, Chen Z, Group AOCSS, Chenevix-Trench G, Fasching PA, Beckmann MW, Lambrechts D, Vanderstichele A, Niewenhuyse EV, Vergote I, Rossing MA, Doherty JA, Chang-Claude J, Moysich K, Odunsi K, Goodman MT, Shvetsov YB, Wilkens LR, Thompson PJ, Dörk T, Bogdanova N, Butzow R, Nevanlinna H, Pelttari L, Leminen A, Modugno F, Edwards RP, Ness RB, Kelley J, Heitz F, Karlan B, Lester J, Kjaer SK, Jensen A, Giles G, Hildebrandt M, Liang D, Lu KH, Wu X, Levine DA, Bisogna M, Berchuck A, Cramer DW, Terry KL, Tworoger SS, Poole EM, Bandera EV, Fridley B, Cunningham J, Winham SJ, Olson SH, Orlow I, Bjorge L, Kiemeney LA, Massuger L, Pejovic T, Moffitt M, Le N, Cook LS, Brooks-Wilson A, Kelemen LE, Gronwald J, Lubinski J, Wentzensen N, Brinton LA, Lissowska J, Yang H, Hogdall E, Hogdall C, Lundvall L, Pharoah PD, Song H, Campbell I, Eccles D, McNeish I, Whittemore A, McGuire V, Sieh W, Rothstein J, Phelan CM, Risch H, Narod S, McLaughlin J, Anton-Culver H, Ziogas A, Menon U, Gayther S, Ramus SJ, Gentry-Maharaj A, Pearce CL, Wu AH, Kupryjanczyk J, Dansonka-Mieszkowska A, Schildkraut JM, Cheng JQ, Goode EL, Sellers TA. Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration. Oncotarget 2016; 7:72381-72394. [PMID: 27911851 PMCID: PMC5340123 DOI: 10.18632/oncotarget.10546] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 06/13/2016] [Indexed: 01/05/2023] Open
Abstract
RNA editing in mammals is a form of post-transcriptional modification in which adenosine is converted to inosine by the adenosine deaminases acting on RNA (ADAR) family of enzymes. Based on evidence of altered ADAR expression in epithelial ovarian cancers (EOC), we hypothesized that single nucleotide polymorphisms (SNPs) in ADAR genes modify EOC susceptibility, potentially by altering ovarian tissue gene expression. Using directly genotyped and imputed data from 10,891 invasive EOC cases and 21,693 controls, we evaluated the associations of 5,303 SNPs in ADAD1, ADAR, ADAR2, ADAR3, and SND1. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), with adjustment for European ancestry. We conducted gene-level analyses using the Admixture Maximum Likelihood (AML) test and the Sequence-Kernel Association test for common and rare variants (SKAT-CR). Association analysis revealed top risk-associated SNP rs77027562 (OR (95% CI)= 1.39 (1.17-1.64), P=1.0x10-4) in ADAR3 and rs185455523 in SND1 (OR (95% CI)= 0.68 (0.56-0.83), P=2.0x10-4). When restricting to serous histology (n=6,500), the magnitude of association strengthened for rs185455523 (OR=0.60, P=1.0x10-4). Gene-level analyses revealed that variation in ADAR was associated (P<0.05) with EOC susceptibility, with PAML=0.022 and PSKAT-CR=0.020. Expression quantitative trait locus analysis in EOC tissue revealed significant associations (P<0.05) with ADAR expression for several SNPs in ADAR, including rs1127313 (G/A), a SNP in the 3' untranslated region. In summary, germline variation involving RNA editing genes may influence EOC susceptibility, warranting further investigation of inherited and acquired alterations affecting RNA editing.
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Affiliation(s)
| | - Brett Reid
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Madalene Earp
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Y. Ann Chen
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Zhihua Chen
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA
| | - AOCS Study Group
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Queensland, Australia
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Georgia Chenevix-Trench
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Queensland, Australia
| | - Peter A. Fasching
- David Geffen School of Medicine, Department of Medicine, Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center, Erlangen, Germany
| | - Matthias W. Beckmann
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center, Erlangen, Germany
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Adriaan Vanderstichele
- Division of Gynecologic Oncology, Department of Obstetrics and Gynaecology and Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Els Van Niewenhuyse
- Division of Gynecologic Oncology, Department of Obstetrics and Gynaecology and Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Ignace Vergote
- Division of Gynecologic Oncology, Department of Obstetrics and Gynaecology and Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jennifer Anne Doherty
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NY, USA
| | - Jenny Chang-Claude
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kirsten Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Kunle Odunsi
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Marc T. Goodman
- Cancer Prevention and Control, Samuel Oshin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yurii B. Shvetsov
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne R. Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Pamela J. Thompson
- Cancer Prevention and Control, Samuel Oshin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Natalia Bogdanova
- Radiaton Oncology Research Unit, Hannover Medical School, Hannover, Germany
| | - Ralf Butzow
- Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Liisa Pelttari
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Arto Leminen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Francesmary Modugno
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Ovarian Cancer Center of Excellence, Womens Cancer Research Program, Magee-Womens Research Institute & University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Robert P. Edwards
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Ovarian Cancer Center of Excellence, Womens Cancer Research Program, Magee-Womens Research Institute & University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
| | - Roberta B. Ness
- The University of Texas School of Public Health, Houston, TX, USA
| | - Joseph Kelley
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Florian Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/Evang. Huyssens-Stiftung/Knappschaft GmbH, Essen, Germany
- Department of Gynecology and Gynecologic Oncology, Dr. Horst Schmidt Klinik Wiesbaden, Wiesbaden, Germany
| | - Beth Karlan
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jenny Lester
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Susanne K. Kjaer
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Graham Giles
- Cancer Epidemiology Centre, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Michelle Hildebrandt
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dong Liang
- College of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA
| | - Karen H. Lu
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Douglas A. Levine
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Bisogna
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Daniel W. Cramer
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kathryn L. Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shelley S. Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Elizabeth M. Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Elisa V. Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Brooke Fridley
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Julie Cunningham
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Stacey J. Winham
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Sara H. Olson
- Memorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, NY, USA
| | - Irene Orlow
- Memorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, NY, USA
| | - Line Bjorge
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Lambertus A. Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Leon Massuger
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Gynaecology, Nijmegen, The Netherlands
| | - Tanja Pejovic
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Melissa Moffitt
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Nhu Le
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
| | - Linda S. Cook
- Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Angela Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Linda E. Kelemen
- Department of Public Health Sciences, Medical University of South Carolina College of Medicine, Charleston, SC, USA
| | - Jacek Gronwald
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, The Maria Sklodowska-Curie Memorial Cancer Center, Warsaw, Poland
| | - Hanna Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Estrid Hogdall
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Claus Hogdall
- The Juliane Marie Centre, Department of Obstetrics and Gynecology, Rigshospitalet, Copenhagen, Denmark
| | - Lene Lundvall
- The Juliane Marie Centre, Department of Obstetrics and Gynecology, Rigshospitalet, Copenhagen, Denmark
| | - Paul D.P. Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Honglin Song
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Pathology, University of Melbourne, Parkville, VIC, Australia
| | - Diana Eccles
- Faculty of Medicine, University of Southampton, University Hospital Southampton, Southampton, UK
| | - Iain McNeish
- Institute of Cancer Sciences, Unversity of Glasgow, Wolfson Wohl Cancer Research Centre, Beatson Institute for Cancer Research, Glasgow, UK
| | - Alice Whittemore
- Department of Health Research and Policy - Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Valerie McGuire
- Department of Health Research and Policy - Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Weiva Sieh
- Department of Health Research and Policy - Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph Rothstein
- Department of Health Research and Policy - Epidemiology, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Harvey Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Steven Narod
- Women's College Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - Hoda Anton-Culver
- Department of Epidemiology, Director of Genetic Epidemiology Research Institute, UCI School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California Irvine, Irvine, CA, USA
| | - Usha Menon
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Simon Gayther
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Susan J. Ramus
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | | | - Celeste Leigh Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
- Department of Epidemology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, the Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Agnieszka Dansonka-Mieszkowska
- Department of Pathology and Laboratory Diagnostics, the Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Joellen M. Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
- Cancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, USA
| | - Jin Q. Cheng
- Department of Molecular Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Ellen L. Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Thomas A. Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Ovarian Cancer Association Consortium
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High-speed droplet-allele-specific polymerase chain reaction for genotyping of single nucleotide polymorphisms. Methods Mol Biol 2016; 1310:29-35. [PMID: 26024623 DOI: 10.1007/978-1-4939-2690-9_3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Single nucleotide alternations such as single nucleotide polymorphisms (SNPs) or single nucleotide mutations are useful genetic markers for molecular diagnosis, prognosis, drug response, and predisposition to diseases. Rapid identification of SNPs or mutations is clinically important, especially for determining drug responses and selection of molecular-targeted therapy. Here, we describe a rapid genotyping assay based on the allele-specific polymerase chain reaction (AS-PCR) by using our droplet-PCR machine (droplet-AS-PCR).
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Schleinitz D. Genetic Determination of Serum Levels of Diabetes-Associated Adipokines. Rev Diabet Stud 2016; 12:277-98. [PMID: 26859657 PMCID: PMC5275755 DOI: 10.1900/rds.2015.12.277] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 10/06/2015] [Indexed: 12/16/2022] Open
Abstract
Adipose tissue secretes an abundance of proteins. Some of these proteins are known as adipokines and adipose-derived hormones which have been linked with metabolic disorders, including type 2 diabetes, and even with cancer. Variance in serum adipokine concentration is often closely associated with an increase (obesity) or decrease (lipodystrophy) in fat tissue mass, and it is affected by age, gender, and localization of the adipose tissue. However, there may be genetic variants which, in consequence, influence the serum concentration of a certain adipokine, and thereby promote metabolic disturbances or, with regard to the "protective" allele, exert beneficial effects. This review focuses on the genetic determination of serum levels of the following adipokines: adiponectin, chemerin, leptin, progranulin, resistin, retinol binding protein 4, vaspin, adipsin, apelin, and omentin. The article reports on the latest findings from genome-wide association studies (GWAS) and candidate gene studies, showing variants located in/nearby the adipokine genes and other (non-receptor) genes. An extra chapter highlights adipokine-receptor variants. Epigenetic studies on adipokines are also addressed.
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Affiliation(s)
- Dorit Schleinitz
- Integrated Research and Treatment Center AdiposityDiseases, University of Leipzig, Liebigstr. 21, 04103 Leipzig, Germany
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15
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Jiang K, Sun X, Chen Y, Shen Y, Jarvis JN. RNA sequencing from human neutrophils reveals distinct transcriptional differences associated with chronic inflammatory states. BMC Med Genomics 2015; 8:55. [PMID: 26310571 PMCID: PMC4551565 DOI: 10.1186/s12920-015-0128-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 08/11/2015] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The transcriptional complexity of mammalian cells suggests that they have broad abilities to respond to specific environmental stimuli and physiologic contexts. These abilities were not apparent a priori from the structure of mammalian genomes, but have been identified through detailed transcriptome analyses. In this study, we examined the transcriptomes of cells of the innate immune system, human neutrophils, using RNA sequencing (RNAseq). METHODS We sequenced poly-A RNA from nine individual samples corresponding to specific phenotypes: three children with active, untreated juvenile idiopathic arthritis (JIA)(AD), three children with the same disease whose disease was inactive on medication (CRM), and three children with cystic fibrosis (CF). RESULTS We demonstrate that transcriptomes of neutrophils, typically considered non-specific in their responses and functions, display considerable specificity in their transcriptional repertoires dependent on the pathologic context, and included genes, gene isoforms, and long non-coding RNA transcripts. Furthermore, despite the small sample numbers, these findings demonstrate the potential of RNAseq approaches to biomarker development in rheumatic diseases. CONCLUSIONS These data demonstrate the capacity of cells previously considered non-specific in function to adapt their transcriptomes to specific biologic contexts. These data also provide insight into previously unrecognized pathological pathways and show considerable promise for elucidating disease and disease-state specific regulatory networks.
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Affiliation(s)
- Kaiyu Jiang
- Department of Pediatrics, State University of New York at Buffalo School of Medicine, Buffalo, NY, USA.
| | - Xiaoyun Sun
- JP Sulzberger Columbia Genome Center, Columbia University Medical Center, New York, NY, USA.
| | - Yanmin Chen
- Department of Pediatrics, State University of New York at Buffalo School of Medicine, Buffalo, NY, USA.
| | - Yufeng Shen
- JP Sulzberger Columbia Genome Center, Columbia University Medical Center, New York, NY, USA. .,Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
| | - James N Jarvis
- Department of Pediatrics, State University of New York at Buffalo School of Medicine, Buffalo, NY, USA.
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16
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Gasparini CF, Sutherland HG, Maher B, Rodriguez-Acevedo AJ, Khlifi E, Haupt LM, Griffiths LR. Case-control study of ADARB1 and ADARB2 gene variants in migraine. J Headache Pain 2015; 16:511. [PMID: 25916332 PMCID: PMC4397221 DOI: 10.1186/s10194-015-0511-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 03/06/2015] [Indexed: 01/03/2023] Open
Abstract
Background Migraine causes crippling attacks of severe head pain along with associated nausea, vomiting, photophobia and/or phonophobia. The aim of this study was to investigate single nucleotide polymorphisms (SNPs) in the adenosine deaminase, RNA-specific, B1 (ADARB1) and adenosine deaminase, RNA specific, B2 (ADARB2) genes in an Australian case–control Caucasian population for association with migraine. Both candidate genes are highly expressed in the central nervous system and fit criteria for migraine neuropathology. SNPs in the ADARB2 gene were previously found to be positively associated with migraine in a pedigree-based genome wide association study using the genetic isolate of Norfolk Island, Australia. The ADARB1 gene was also chosen for investigation due to its important function in editing neurotransmitter receptor transcripts. Methods Four SNPs in ADARB1 and nine in ADARB2 were selected by inspecting blocks of linkage disequilibrium in Haploview for genotyping using either TaqMan or Sequenom assays. These SNPs were genotyped in two-hundred and ninety one patients who satisfied the International Classification of Headache Disorders-II 2004 diagnostic criteria for migraine, and three-hundred and fourteen controls, and PLINK was used for association testing. Results Chi-square analysis found no significant association between any of the SNPs tested in the ADARB1 and ADARB2 genes in this study and the occurrence of migraine. Conclusions In contrast to findings that SNPs in the ADARB2 gene were positively associated with migraine in the Norfolk Island population, we find no evidence to support the involvement of RNA editing genes in migraine susceptibility in an Australian Caucasian population.
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Affiliation(s)
- Claudia F Gasparini
- Menzies Health Institute Queensland, Griffith University Gold Coast, Parklands Drive, Southport, QLD, 4222, Australia,
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Dynamics of mRNA and polysomal abundance in early 3T3-L1 adipogenesis. BMC Genomics 2014; 15:381. [PMID: 24886538 PMCID: PMC4039748 DOI: 10.1186/1471-2164-15-381] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Accepted: 05/07/2014] [Indexed: 12/31/2022] Open
Abstract
Background Adipogenesis is a complex process, in which immature pre-adipocytes change morphology, micro-anatomy and physiology to become mature adipocytes. These store and accumulate fat and release diverse hormones. Massive changes in protein content and protein composition of the transforming cell take place within a short time-frame. In a previous study we analyzed changes in the abundance of free and polysomal, i.e. ribosome bound, RNAs in the first hours of adipogenesis in the murine cell line 3T3-L1. Here we analyze changes of mRNA levels and their potential contribution to the changing protein pool by determination of mRNA levels and ribosome binding to mRNAs in 3T3-L1 cells stimulated for adipogenesis. We grouped mRNA species into categories with respect to up- or down-regulated transcription and translation and analyzed the groups regarding specific functionalities based on Gene Ontology (GO). Results A shift towards up-regulation of gene expression in early adipogenesis was detected. Genes up-regulated at the transcriptional (TC:up) and translational (TL:up) level (TC:up/TL:up) are very likely involved in control and logistics of translation. Many of them are known to contain a TOP motif. In the TC:up/TL:unchanged group we detected most of the metal binding proteins and metal transporters. In the TC:unchanged/TL:up group several factors of the olfactory receptor family were identified, while in TC:unchanged/TL:down methylation and repair genes are represented. In the TC:down/TL:up group we detected many signaling factors. The TC:down/TL:unchanged group mainly consists of regulatory factors. Conclusions Within the first hours of adipogenesis, changes in transcriptional and translational regulation take place. Notably, genes with a specific biological or molecular function tend to cluster in groups according to their transcriptional and translational regulation. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-381) contains supplementary material, which is available to authorized users.
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Alterations in the extracellular catabolism of nucleotides and platelet aggregation induced by high-fat diet in rats: effects of α-tocopherol. J Physiol Biochem 2014; 70:487-96. [PMID: 24623516 DOI: 10.1007/s13105-014-0327-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Accepted: 02/19/2014] [Indexed: 02/07/2023]
Abstract
The aim of this study was to assess whether α-tocopherol administration prevented alterations in the ectonucleotidase activities and platelet aggregation induced by high-fat diet in rats. Thus, we examined four groups of male rats which received standard diet, high-fat diet (HFD), α-tocopherol (α-Toc), and high-fat diet plus α-tocopherol. HFD was administered ad libitum and α-Toc by gavage using a dose of 50 mg/kg. After 3 months of treatment, animals were submitted to euthanasia, and blood samples were collected for biochemical assays. Results demonstrate that NTPDase, ectonucleotide pyrophosphatase/phosphodiesterase, and 5'-nucleotidase activities were significantly decreased in platelets of HFD group, while that adenosine deaminase (ADA) activity was significantly increased in this group in comparison to the other groups (P < 0.05). When rats that received HFD were treated with α-Toc, the activities of these enzymes were similar to the control, but ADA activity was significantly increased in relation to the control and α-Toc group (P < 0.05). HFD group showed an increased in platelet aggregation in comparison to the other groups, and treatment with α-Toc significantly reduced platelet aggregation in this group. These findings demonstrated that HFD alters platelet aggregation and purinergic signaling in the platelets and that treatment with α-Toc was capable of modulating the adenine nucleotide hydrolysis in this experimental condition.
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Mokry FB, Higa RH, de Alvarenga Mudadu M, Oliveira de Lima A, Meirelles SLC, Barbosa da Silva MVG, Cardoso FF, Morgado de Oliveira M, Urbinati I, Méo Niciura SC, Tullio RR, Mello de Alencar M, Correia de Almeida Regitano L. Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach. BMC Genet 2013; 14:47. [PMID: 23738659 PMCID: PMC3680339 DOI: 10.1186/1471-2156-14-47] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Accepted: 05/23/2013] [Indexed: 12/17/2022] Open
Abstract
Background Meat quality involves many traits, such as marbling, tenderness, juiciness, and backfat thickness, all of which require attention from livestock producers. Backfat thickness improvement by means of traditional selection techniques in Canchim beef cattle has been challenging due to its low heritability, and it is measured late in an animal’s life. Therefore, the implementation of new methodologies for identification of single nucleotide polymorphisms (SNPs) linked to backfat thickness are an important strategy for genetic improvement of carcass and meat quality. Results The set of SNPs identified by the random forest approach explained as much as 50% of the deregressed estimated breeding value (dEBV) variance associated with backfat thickness, and a small set of 5 SNPs were able to explain 34% of the dEBV for backfat thickness. Several quantitative trait loci (QTL) for fat-related traits were found in the surrounding areas of the SNPs, as well as many genes with roles in lipid metabolism. Conclusions These results provided a better understanding of the backfat deposition and regulation pathways, and can be considered a starting point for future implementation of a genomic selection program for backfat thickness in Canchim beef cattle.
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Affiliation(s)
- Fabiana Barichello Mokry
- Department of Genetics and Evolution, Federal University of São Carlos, Rodovia Washington Luiz, km 235, PO BOX 676, 13565-905, São Carlos, Brazil.
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Taira C, Matsuda K, Yamaguchi A, Sueki A, Koeda H, Takagi F, Kobayashi Y, Sugano M, Honda T. Novel high-speed droplet-allele specific-polymerase chain reaction: application in the rapid genotyping of single nucleotide polymorphisms. Clin Chim Acta 2013; 424:39-46. [PMID: 23685227 DOI: 10.1016/j.cca.2013.04.024] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Accepted: 04/23/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND Single nucleotide alterations such as single nucleotide polymorphisms (SNP) and single nucleotide mutations are associated with responses to drugs and predisposition to several diseases, and they contribute to the pathogenesis of malignancies. We developed a rapid genotyping assay based on the allele-specific polymerase chain reaction (AS-PCR) with our droplet-PCR machine (droplet-AS-PCR). METHODS Using 8 SNP loci, we evaluated the specificity and sensitivity of droplet-AS-PCR. Buccal cells were pretreated with proteinase K and subjected directly to the droplet-AS-PCR without DNA extraction. The genotypes determined using the droplet-AS-PCR were then compared with those obtained by direct sequencing. RESULTS Specific PCR amplifications for the 8 SNP loci were detected, and the detection limit of the droplet-AS-PCR was found to be 0.1-5.0% by dilution experiments. Droplet-AS-PCR provided specific amplification when using buccal cells, and all the genotypes determined within 9 min were consistent with those obtained by direct sequencing. CONCLUSIONS Our novel droplet-AS-PCR assay enabled high-speed amplification retaining specificity and sensitivity and provided ultra-rapid genotyping. Crude samples such as buccal cells were available for the droplet-AS-PCR assay, resulting in the reduction of the total analysis time. Droplet-AS-PCR may therefore be useful for genotyping or the detection of single nucleotide alterations.
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Affiliation(s)
- Chiaki Taira
- Department of Laboratory Medicine, Shinshu University Hospital, 3-1-1 Asahi, Matsumoto 390-8621, Japan
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Escudero A, Carreño B, Retamal N, Celis C, Castro L, Aguayo C, Acurio J, Escudero C. Elevated concentrations of plasma adenosine in obese children. Biofactors 2012; 38:422-8. [PMID: 22890589 DOI: 10.1002/biof.1039] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 07/01/2012] [Accepted: 07/18/2012] [Indexed: 01/19/2023]
Abstract
There are no data regarding adenosine levels in obese children, even though is a ubiquitous molecule implicated in the regulation of lipid metabolism in humans. To determinate whether adenosine plasma levels are related with anthropometric and biochemical markers in children, we studied 51 students belong to Ramon Belmar School in Linares, Chile. Review of clinical data and frequent food questionnaire were taken in order to collect the information. Plasma adenosine levels were measured by high-performance liquid chromatography and biochemical parameters including insulin, glucose, total proteins, and lipid profile by using standard colorimetric assays. Children with detectable (above 0.1 μM) adenosine plasma levels (n = 30; BMI, 22.3 ± 0.7) had higher total cholesterol (P < 0.05); triglycerides (P < 0.01) and LDL-cholesterol (P < 0.05) concentrations than children with undetectable adenosine levels (n = 21; BMI, 23.9 ± 0.61). Among the analyzed variables, only BMI and BMI standard deviation score (BMI-SDS) were positively correlated with adenosine levels. Besides, obese children (n = 10) showed significantly high adenosine levels compared to controls (n = 11; 1.8 ± 0.2 vs. 1.2 ± 0.1 μM/mg protein, respectively. P < 0.05), but not compared to overweight children (n = 9). In conclusion, obesity in children is associated to high adenosine plasma levels. This study opens a new perspective to investigate the role of adenosine in the regulation of lipid metabolism in obese children.
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Affiliation(s)
- Andrea Escudero
- Vascular Physiology Laboratory, Department of Basic Sciences, University of Bío-Bío, Chillán, Chile
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