51
|
Roy J, Shaikh TM, Del Río Mendoza L, Hosain S, Chapara V, Rahman M. Genome-wide association mapping and genomic prediction for adult stage sclerotinia stem rot resistance in Brassica napus (L) under field environments. Sci Rep 2021; 11:21773. [PMID: 34741104 PMCID: PMC8571315 DOI: 10.1038/s41598-021-01272-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 10/22/2021] [Indexed: 12/11/2022] Open
Abstract
Sclerotinia stem rot (SSR) is a fungal disease of rapeseed/canola that causes significant seed yield losses and reduces its oil content and quality. In the present study, the reaction of 187 diverse canola genotypes to SSR was characterized at full flowering stage using the agar plug to stem inoculation method in four environments. Genome-wide association study (GWAS) using three different algorithms identified 133 significant SNPs corresponding with 123 loci for disease traits like stem lesion length (LL), lesion width (LW), and plant mortality at 14 (PM_14D) and 21 (PM_21D) days. The explained phenotypic variation of these SNPs ranged from 3.6 to 12.1%. Nineteen significant SNPs were detected in two or more environments, disease traits with at least two GWAS algorithms. The strong correlations observed between LL and other three disease traits evaluated, suggest they could be used as proxies for SSR resistance phenotyping. Sixty-nine candidate genes associated with disease resistance mechanisms were identified. Genomic prediction (GP) analysis with all the four traits employing genome-wide markers resulted in 0.41-0.64 predictive ability depending on the model specifications. The highest predictive ability for PM_21D with three models was about 0.64. From our study, the identified resistant genotypes and stable significant SNP markers will serve as a valuable resource for future SSR resistance breeding. Our study also suggests that genomic selection holds promise for accelerating canola breeding progress by enabling breeders to select SSR resistance genotypes at the early stage by reducing the need to phenotype large numbers of genotypes.
Collapse
Affiliation(s)
- Jayanta Roy
- Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA
| | - T M Shaikh
- Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA
| | - Luis Del Río Mendoza
- Department of Plant Pathology, North Dakota State University, Fargo, ND, 58108, USA
| | - Shakil Hosain
- Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA
| | - Venkat Chapara
- Langdon Extension Research Extension Center, North Dakota State University, Langdon, ND, 58249, USA
| | - Mukhlesur Rahman
- Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA.
| |
Collapse
|
52
|
Nakamura Y, Okamoto W, Kato T, Esaki T, Kato K, Komatsu Y, Yuki S, Masuishi T, Nishina T, Ebi H, Sawada K, Taniguchi H, Fuse N, Nomura S, Fukui M, Matsuda S, Sakamoto Y, Uchigata H, Kitajima K, Kuramoto N, Asakawa T, Olsen S, Odegaard JI, Sato A, Fujii S, Ohtsu A, Yoshino T. Circulating tumor DNA-guided treatment with pertuzumab plus trastuzumab for HER2-amplified metastatic colorectal cancer: a phase 2 trial. Nat Med 2021; 27:1899-1903. [PMID: 34764486 PMCID: PMC8604726 DOI: 10.1038/s41591-021-01553-w] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [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] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 09/23/2021] [Indexed: 12/26/2022]
Abstract
The applicability of circulating tumor DNA (ctDNA) genotyping to inform enrollment of patients with cancer in clinical trials has not been established. We conducted a phase 2 trial to evaluate the efficacy of pertuzumab plus trastuzumab for metastatic colorectal cancer (mCRC), with human epidermal growth factor receptor 2 (HER2) amplification prospectively confirmed by tumor tissue or ctDNA analysis ( UMIN000027887 ). HER2 amplification was confirmed in tissue and/or ctDNA in 30 patients with mCRC. The study met the primary endpoint with a confirmed objective response rate of 30% in 27 tissue-positive patients and 28% in 25 ctDNA-positive patients, as compared to an objective response rate of 0% in a matched real-world reference population treated with standard-of-care salvage therapy. Post hoc exploratory analyses revealed that baseline ctDNA genotyping of HER2 copy number and concurrent oncogenic alterations adjusted for tumor fraction stratified patients according to efficacy with similar accuracy to tissue genotyping. Decreased ctDNA fraction 3 weeks after treatment initiation associated with therapeutic response. Pertuzumab plus trastuzumab showed similar efficacy in patients with mCRC with HER2 amplification in tissue or ctDNA, showing that ctDNA genotyping can identify patients who benefit from dual-HER2 blockade as well as monitor treatment response. These findings warrant further use of ctDNA genotyping in clinical trials for HER2-amplified mCRC, which might especially benefit patients in first-line treatment.
Collapse
Affiliation(s)
- Yoshiaki Nakamura
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
| | - Wataru Okamoto
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
- Cancer Treatment Center, Hiroshima University Hospital, Hiroshima, Japan
| | - Takeshi Kato
- Department of Surgery, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Taito Esaki
- Department of Gastrointestinal and Medical Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Ken Kato
- Department of Head and Neck, Esophageal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Yoshito Komatsu
- Department of Cancer Center, Hokkaido University Hospital, Sapporo, Japan
| | - Satoshi Yuki
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Japan
| | - Toshiki Masuishi
- Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Tomohiro Nishina
- Gastrointestinal Medical Oncology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Japan
| | - Hiromichi Ebi
- Division of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Kentaro Sawada
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Medical Oncology, Kushiro Rosai Hospital, Kushiro, Japan
| | - Hiroya Taniguchi
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Nozomu Fuse
- Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Shogo Nomura
- Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Makoto Fukui
- Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Seiko Matsuda
- Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Yasutoshi Sakamoto
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hiroshi Uchigata
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
| | - Kana Kitajima
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
| | - Naomi Kuramoto
- Translational Research Support Section, National Cancer Center Hospital East, Kashiwa, Japan
| | | | - Steve Olsen
- Clinical and Medical Affairs, Guardant Health AMEA, Redwood City CA, USA
| | | | - Akihiro Sato
- Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Satoshi Fujii
- Division of Pathology, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Japan
- Department of Molecular Pathology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Atsushi Ohtsu
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Takayuki Yoshino
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
| |
Collapse
|
53
|
Urnikyte A, Molyte A, Kučinskas V. Genome-Wide Landscape of North-Eastern European Populations: A View from Lithuania. Genes (Basel) 2021; 12:genes12111730. [PMID: 34828336 PMCID: PMC8623362 DOI: 10.3390/genes12111730] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 01/15/2023] Open
Abstract
There are still several unanswered questions regarding about ancient events in the Lithuanian population. The Lithuanians, as the subject of this study, are of great interest as they represent a partially isolated population maintaining an ancient genetic composition and show genetic uniqueness in European comparisons. To elucidate the genetic relationships between the Lithuania and North-Eastern European and West Siberian populations, we analyzed the population structure, effective population size, and recent positive selection from genome-wide single nucleotide polymorphism (SNP) data. We identified the close genetic proximity of Lithuanians to neighboring populations (Latvians, Estonians, Belarusians) and in part with West and South Slavs (Poles, Slovaks, and Slovenians), however, with particular genetic distinctiveness. The estimated long-term Ne values ranged from ~5900 in the Estonian population to ~2400 in the South Russian population. The divergence times between the Lithuanian and study populations ranged from 240 to 12,871 YBP. We also found evidence of selection in 24 regions, 21 of which have not been discovered in previous analyses of selection. Undoubtedly, the genetic diversity analysis of geographically specific regions may provide new insights into microevolutionary processes affecting local human populations.
Collapse
Affiliation(s)
- Alina Urnikyte
- Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariškiu St. 2, LT-08661 Vilnius, Lithuania; (A.M.); (V.K.)
- Correspondence: ; Tel.: +370-698-55292
| | - Alma Molyte
- Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariškiu St. 2, LT-08661 Vilnius, Lithuania; (A.M.); (V.K.)
- Department of Information Systems, Faculty of Fundamentals Sciences, Vilnius Gediminas Technical University, Saulėtekio Al. 11, LT-10223 Vilnius, Lithuania
| | - Vaidutis Kučinskas
- Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Santariškiu St. 2, LT-08661 Vilnius, Lithuania; (A.M.); (V.K.)
| |
Collapse
|
54
|
Vela-Amieva M, Alcántara-Ortigoza MA, Ibarra-González I, González-del Angel A, Fernández-Hernández L, Guillén-López S, López-Mejía L, Carrillo-Nieto RI, Belmont-Martínez L, Fernández-Lainez C. An Updated PAH Mutational Spectrum of Phenylketonuria in Mexican Patients Attending a Single Center: Biochemical, Clinical-Genotyping Correlations. Genes (Basel) 2021; 12:genes12111676. [PMID: 34828281 PMCID: PMC8620669 DOI: 10.3390/genes12111676] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 11/21/2022] Open
Abstract
Establishing the genotypes of patients with hyperphenylalaninemia (HPA)/phenylketonuria (PKU, MIM#261600) has been considered a cornerstone for rational medical management. However, knowledge of the phenylalanine hydroxylase gene (PAH) mutational spectrum in Latin American populations is still limited. Herein, we aim to update the mutational PAH spectrum in the largest cohort of HPA/PKU Mexican patients (N = 124) reported to date. The biallelic PAH genotype was investigated by Sanger automated sequencing, and genotypes were correlated with documented biochemical phenotypes and theoretical tetrahydrobiopterin (BH4) responsiveness. Patients were biochemically classified as having classic PKU (50%, 62/124), mild PKU (20.2%, 25/124) and mild HPA (29.8%, 37/124). Furthermore, 78.2% of the included patients (97/124) were identified by newborn screening. A total of 60 different pathogenic variants were identified, including three novel ones (c. 23del, c. 625_626insC and c. 1315 + 5_1315 + 6insGTGTAACAG), the main categories being missense changes (58%, 35/60) and those affecting the catalytic domain (56.6%, 34/60), and c. 60 + 5G > T was the most frequent variant (14.5%, 36/248) mainly restricted (69.2%) to patients from the central and western parts of Mexico. These 60 types of variants constituted 100 different biallelic PAH genotypes, with the predominance of compound-heterozygous ones (96/124, 77%). The expected BH4 responsiveness based on the PAH genotype was estimated in 52% of patients (65/124), mainly due to the p. (Val388Met) (rs62516101) allele. Instead, our study identified 27 null variants with an allelic phenotype value of zero, with a predominance of c. 60 + 5G > T, which predicts the absence of BH4 responsiveness. An identical genotype reported in BIOPKUdb was found in 92/124 (74%) of our patients, leading to a genotype–phenotype concordance in 80/92 (86.9%) of them. The high number of variants found confirms the heterogeneous and complex mutational landscape of HPA/PKU in Mexico.
Collapse
Affiliation(s)
- Marcela Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
| | - Miguel Angel Alcántara-Ortigoza
- Laboratorio de Biología Molecular, Subdirección de Investigación Médica, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.A.A.-O.); (A.G.-d.A.); (L.F.-H.)
| | - Isabel Ibarra-González
- Unidad de Genética de la Nutrición, Instituto de Investigaciones Biomédicas, UNAM/Instituto Nacional de Pediatría, Ciudad de Mexico 04530, Mexico;
| | - Ariadna González-del Angel
- Laboratorio de Biología Molecular, Subdirección de Investigación Médica, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.A.A.-O.); (A.G.-d.A.); (L.F.-H.)
| | - Liliana Fernández-Hernández
- Laboratorio de Biología Molecular, Subdirección de Investigación Médica, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.A.A.-O.); (A.G.-d.A.); (L.F.-H.)
| | - Sara Guillén-López
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
| | - Lizbeth López-Mejía
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
| | - Rosa Itzel Carrillo-Nieto
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
| | - Leticia Belmont-Martínez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
| | - Cynthia Fernández-Lainez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Subdirección de Medicina Experimental, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de Mexico 04530, Mexico; (M.V.-A.); (S.G.-L.); (L.L.-M.); (R.I.C.-N.); (L.B.-M.)
- Correspondence: ; Tel.: +52-1-55-10840900 (ext. 1332)
| |
Collapse
|
55
|
Chen L, Chen J, Mo F, Bian Z, Jin C, Chen X, Liang C. Genetic Polymorphisms of IFNG, IFNGR1, and Androgen Receptor and Chronic Prostatitis/Chronic Pelvic Pain Syndrome in a Chinese Han Population. Dis Markers 2021; 2021:2898336. [PMID: 34646402 PMCID: PMC8505099 DOI: 10.1155/2021/2898336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/22/2021] [Accepted: 09/11/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) refers to a common disorder with unclear etiology and unsatisfactory treatment, which reduces the male's quality of life. OBJECTIVE To examine the effects of genetic polymorphisms of IFNG, IFNGR1, and androgen receptor (AR) on CP/CPPS. METHODS The single nucleotide polymorphisms (SNPs) of IFNG, IFNGR1, and AR were genotyped with the improved multiplex ligation detection reaction. The GTEx, RegulomeDB, HaploReg, and 3DSNP databases were adopted to predict the regulatory functions of the genotyped SNPs. The correlation between SNPs and CP/CPPS was analyzed with the χ 2 test, logistic regression, and two genetic models (codominant and log-additive models). The nomogram was built to predict the risk of CP/CPPS occurrence. RESULTS On the whole, 130 CP/CPPS patients and 125 healthy controls were recruited in the study, and 18 SNPs of IFNG, IFNGR1, and AR were genotyped. The results of functional annotation indicated that the 18 genotyped SNPs might have regulatory effects in the whole blood. The rs144488434 was correlated with the elevated CP/CPPS risk (odds ratio (OR): 2.40, 95% confidence interval (CI): 1.12-5.13, χ 2 = 5.37, and P = 0.021) by the χ 2 test. In the built genetic models, rs10457655 was correlated with the elevated National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) scores (codominant model: GA/GG: crude mean difference (MD) = 0.98, 95% CI: -1.71-3.67 and AA/GG: crude MD = 9.10, 95% CI: 0.58-17.62, P = 0.10). In subgroup analysis, rs2069718 was correlated with the elevated CP/CPPS risk (log-additive model: crude OR = 2.18, 95% CI: 1.03-4.64, and P = 0.034) in patients ≥ 35 years. The nomogram integrating age, rs2069718, rs10457655, and rs144488434 showed good performance to predict the risk of CP/CPPS. CONCLUSIONS Genetic polymorphisms of IFNG, IFNGR1, and AR might act as the genetic factors for CP/CPPS susceptibility, which deserved further explorations.
Collapse
Affiliation(s)
- Lei Chen
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Junyi Chen
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Fan Mo
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Zichen Bian
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Chen Jin
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Xianguo Chen
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| | - Chaozhao Liang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui, China
- Institute of Urology, Anhui Medical University, Hefei, 230022 Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022 Anhui, China
| |
Collapse
|
56
|
Park HA, Neumeyer S, Michailidou K, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baten A, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brucker SY, Burwinkel B, Campa D, Canzian F, Castelao JE, Chanock SJ, Chenevix-Trench G, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fritschi L, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grip M, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Han S, Harkness EF, Hart SN, He W, Heemskerk-Gerritsen BAM, Hopper JL, Hunter DJ, Jager A, Jakubowska A, John EM, Jung A, Kaaks R, Kapoor PM, Keeman R, Khusnutdinova E, Kitahara CM, Koppert LB, Koutros S, Kristensen VN, Kurian AW, Lacey J, Lambrechts D, Le Marchand L, Lo WY, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Meindl A, Menon U, Milne RL, Muranen TA, Nevanlinna H, Newman WG, Nordestgaard BG, Offit K, Olshan AF, Olsson H, Park-Simon TW, Peterlongo P, Peto J, Plaseska-Karanfilska D, Presneau N, Radice P, Rennert G, Rennert HS, Romero A, Saloustros E, Sawyer EJ, Schmidt MK, Schmutzler RK, Schoemaker MJ, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Smeets A, Southey MC, Spinelli JJ, Stevens V, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tomlinson I, Troester MA, Truong T, Vachon CM, van Veen EM, Vijai J, Wang S, Wendt C, Winqvist R, Wolk A, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Zheng W, Kraft P, Chang-Claude J. Mendelian randomisation study of smoking exposure in relation to breast cancer risk. Br J Cancer 2021; 125:1135-1145. [PMID: 34341517 PMCID: PMC8505411 DOI: 10.1038/s41416-021-01432-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 04/14/2021] [Accepted: 04/28/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. METHODS We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. RESULTS Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. CONCLUSION Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
Collapse
Affiliation(s)
- Hanla A Park
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Sonja Neumeyer
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Adinda Baten
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Biometry and Clinical Epidemiology, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Y Brucker
- Department of Gynecology and Obstetrics, University of Tübingen, Tübingen, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, WA, Australia
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Gord Glendon
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, QC, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, QC, Canada
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sileny Han
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Nightingale & Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Wei He
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linetta B Koppert
- Department of Surgical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | | | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - James Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, University of Munich, Campus Großhadern, Munich, Germany
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | | | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM - the FIRC Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D, Efremov', MASA, Skopje, Republic of North Macedonia
| | - Nadege Presneau
- School of Life Sciences, University of Westminster, London, UK
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Elinor J Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, King's College London, London, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Lukas Schwentner
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - John J Spinelli
- Population Oncology, BC Cancer, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Victoria Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ian Tomlinson
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Elke M van Veen
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Joseph Vijai
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sophia Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| |
Collapse
|
57
|
Chambers A, Cibrián-Jaramillo A, Karremans AP, Moreno Martinez D, Hernandez-Hernandez J, Brym M, Resende MFR, Moloney R, Sierra SN, Hasing T, Alomia YA, Hu Y. Genotyping-By-Sequencing diversity analysis of international Vanilla collections uncovers hidden diversity and enables plant improvement. Plant Sci 2021; 311:111019. [PMID: 34482920 DOI: 10.1016/j.plantsci.2021.111019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/04/2021] [Accepted: 08/07/2021] [Indexed: 06/13/2023]
Abstract
Genomics-based diversity analysis of natural vanilla populations is important in order to guide conservation efforts and genetic improvement through plant breeding. Vanilla is a cultivated, undomesticated spice that originated in Mesoamerica prior to spreading globally through vegetative cuttings. Vanilla extract from the commercial species, mainly V. planifolia and V. × tahitensis, is used around the world as an ingredient in foods, beverages, cosmetics, and pharmaceuticals. The global reliance on descendants of a few foundational clones in commercial production has resulted in an industry at heightened risk of catastrophic failure due to extremely narrow genetic diversity. Conversely, national and institutional collections including those near the center of cultivation contain previously undiscovered diversity that could bolster the genetic improvement of vanilla and guide conservation efforts. Towards this goal, an international vanilla genotyping effort generated and analyzed 431,204 single nucleotide polymorphisms among 412 accessions and 27 species from eight collections. Phylogenetic and STRUCTURE analysis sorted vanilla by species and identified hybrid accessions. Principal Component Analysis and the Fixation Index (FST) were used to refine relationships among accessions and showed differentiation among species. Analysis of the commercial species split V. planifolia into three types with all V. × tahitensis accessions being most similar to V. planifolia type 2. Finally, an in-depth analysis of V. × tahitensis identified seven V. planifolia and six V. odorata accessions as most similar to the estimated parental genotypes providing additional data in support of the current hybrid theory. The prevalence of probable V. × tahitensis parental accessions from Belize suggests that V. × tahitensis could have originated from this area and highlights the need for vanilla conservation throughout Central and South America. The genetic groupings among accessions, particularly for V. planifolia, can now be used to focus breeding efforts on fewer accessions that capture the greatest diversity.
Collapse
Affiliation(s)
- Alan Chambers
- Tropical Research and Education Center, Horticultural Sciences Department, University of Florida, 18905 SW 280th St, Homestead, FL, 33033, USA.
| | - Angélica Cibrián-Jaramillo
- Ecological and Evolutionary Genomics Laboratory, Unidad de Genómica Avanzada (Langebio), CINVESTAV, Km 9.6 Carretera Irapuato-León, Guanajuato, CP 36824, Mexico.
| | - Adam P Karremans
- Lankester Botanical Garden, University of Costa Rica, P.O. Box 302-7050, Cartago, Costa Rica; Naturalis Biodiversity Center, Endless Forms Group, Sylviusweg 72, Leiden, 2333 BE, the Netherlands.
| | - David Moreno Martinez
- Posgrado en Ecología Tropical, Centro de Investigaciones Tropicales, Universidad Veracruzana, José María Morelos 44, Zona Centro, CP 91000, Xalapa, Veracruz, Mexico.
| | - Juan Hernandez-Hernandez
- Campo Experimental Ixtacuaco, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Km 4.5 Carretera Martínez de la Torre-Tlapacoyan, Veracruz, CP 93600, Mexico.
| | - Maria Brym
- Tropical Research and Education Center, Horticultural Sciences Department, University of Florida, 18905 SW 280th St, Homestead, FL, 33033, USA.
| | - Marcio F R Resende
- Horticultural Sciences Department, University of Florida, Gainesville, FL, USA.
| | - Ruth Moloney
- Corridgeree Belize Ltd, Mile 6, Southern Highway, Silk Grass, Stann Creek District, Belize.
| | - Sheryl N Sierra
- College of Agriculture, Food, Environment and Natural Resources, Cavite State University, Indang, Cavite, 4122, Philippines.
| | | | - Yasmin A Alomia
- Department of Biological Sciences, Faculty of Sciences, Universidad de Los Andes, Cra. 1 Nº 18A - 12, Bogotá, Colombia.
| | - Ying Hu
- Horticultural Sciences Department, University of Florida, Gainesville, FL, USA.
| |
Collapse
|
58
|
Riman S, Iyer H, Vallone PM. Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset. PLoS One 2021; 16:e0256714. [PMID: 34534241 PMCID: PMC8448353 DOI: 10.1371/journal.pone.0256714] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/07/2021] [Indexed: 11/30/2022] Open
Abstract
A likelihood ratio (LR) system is defined as the entire pipeline of the measurement and interpretation processes where probabilistic genotyping software (PGS) is a piece of the whole LR system. To gain understanding on how two LR systems perform, a total of 154 two-person, 147 three-person, and 127 four-person mixture profiles of varying DNA quality, DNA quantity, and mixture ratios were obtained from the filtered (.CSV) files of the GlobalFiler 29 cycles 15s PROVEDIt dataset and deconvolved in two independently developed fully continuous programs, STRmix v2.6 and EuroForMix v2.1.0. Various parameters were set in each software and LR computations obtained from the two software were based on same/fixed EPG features, same pair of propositions, number of contributors, theta, and population allele frequencies. The ability of each LR system to discriminate between contributor (H1-true) and non-contributor (H2-true) scenarios was evaluated qualitatively and quantitatively. Differences in the numeric LR values and their corresponding verbal classifications between the two LR systems were compared. The magnitude of the differences in the assigned LRs and the potential explanations for the observed differences greater than or equal to 3 on the log10 scale were described. Cases of LR < 1 for H1-true tests and LR > 1 for H2-true tests were also discussed. Our intent is to demonstrate the value of using a publicly available ground truth known mixture dataset to assess discrimination performance of any LR system and show the steps used to understand similarities and differences between different LR systems. We share our observations with the forensic community and describe how examining more than one PGS with similar discrimination power can be beneficial, help analysts compare interpretation especially with low-template profiles or minor contributor cases, and be a potential additional diagnostic check even if software in use does contain certain diagnostic statistics as part of the output.
Collapse
Affiliation(s)
- Sarah Riman
- Applied Genetics Group, National Institute of Standards and Technology, Gaithersburg, Maryland, United States of America
| | - Hari Iyer
- Statistical Design, Analysis, Modeling Group, National Institute of Standards and Technology, Gaithersburg, Maryland, United States of America
| | - Peter M. Vallone
- Applied Genetics Group, National Institute of Standards and Technology, Gaithersburg, Maryland, United States of America
| |
Collapse
|
59
|
Abstract
Genome graphs allow very general representations of genetic variation; depending on the model and implementation, variation at different length-scales (single nucleotide polymorphisms (SNPs), structural variants) and on different sequence backgrounds can be incorporated with different levels of transparency. We implement a model which handles this multiscale variation and develop a JSON extension of VCF (jVCF) allowing for variant calls on multiple references, both implemented in our software gramtools. We find gramtools outperforms existing methods for genotyping SNPs overlapping large deletions in M. tuberculosis and is able to genotype on multiple alternate backgrounds in P. falciparum, revealing previously hidden recombination.
Collapse
Affiliation(s)
| | - Martin Hunt
- EMBL-EBI, Hinxton, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | |
Collapse
|
60
|
Lapointe HR, Dong W, Dong WWY, Kirkby D, Woods C, Poon AFY, Howe AYM, Harrigan PR, Brumme CJ. Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay. Viruses 2021; 13:v13091721. [PMID: 34578305 PMCID: PMC8473162 DOI: 10.3390/v13091721] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/17/2021] [Accepted: 08/26/2021] [Indexed: 11/16/2022] Open
Abstract
Despite the effectiveness of direct-acting antiviral agents in treating hepatitis C virus (HCV), cases of treatment failure have been associated with the emergence of resistance-associated substitutions. To better guide clinical decision-making, we developed and validated a near-whole-genome HCV genotype-independent next-generation sequencing strategy. HCV genotype 1-6 samples from direct-acting antiviral agent treatment-naïve and -treated HCV-infected individuals were included. Viral RNA was extracted using a NucliSens easyMAG and amplified using nested reverse transcription-polymerase chain reaction. Libraries were prepared using Nextera XT and sequenced on the Illumina MiSeq sequencing platform. Data were processed by an in-house pipeline (MiCall). Nucleotide consensus sequences were aligned to reference strain sequences for resistance-associated substitution identification and compared to NS3, NS5a, and NS5b sequence data obtained from a validated in-house assay optimized for HCV genotype 1. Sequencing success rates (defined as achieving >100-fold read coverage) approaching 90% were observed for most genotypes in samples with a viral load >5 log10 IU/mL. This genotype-independent sequencing method resulted in >99.8% nucleotide concordance with the genotype 1-optimized method, and 100% agreement in genotype assignment with paired line probe assay-based genotypes. The assay demonstrated high intra-run repeatability and inter-run reproducibility at detecting substitutions above 2% prevalence. This study highlights the performance of a freely available laboratory and bioinformatic approach for reliable HCV genotyping and resistance-associated substitution detection regardless of genotype.
Collapse
Affiliation(s)
- Hope R. Lapointe
- Department of Medicine, Division of Social Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; (H.R.L.); (P.R.H.)
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
| | - Weiyan Dong
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
| | - Winnie W. Y. Dong
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
| | - Don Kirkby
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
| | - Conan Woods
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
| | - Art F. Y. Poon
- Department of Pathology and Laboratory Medicine, Western University, London, ON N6A 3K7, Canada;
| | - Anita Y. M. Howe
- British Columbia Centre for Disease Control, Vancouver, BC V5Z 4R4, Canada;
| | - P. Richard Harrigan
- Department of Medicine, Division of Social Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; (H.R.L.); (P.R.H.)
| | - Chanson J. Brumme
- BC Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada; (W.D.); (W.W.Y.D.); (D.K.); (C.W.)
- Department of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Correspondence:
| |
Collapse
|
61
|
Alam N, Ali S, Akbar N, Ilyas M, Ahmed H, Mustafa A, Khurram S, Sajid Z, Ullah N, Qayyum S, Rahim T, Usman MS, Ali N, Khan I, Pervez K, Sumaira B, Ali N, Sultana N, Tanoli AY, Islam M. Association study of six candidate genes with major depressive disorder in the North-Western population of Pakistan. PLoS One 2021; 16:e0248454. [PMID: 34411117 PMCID: PMC8376078 DOI: 10.1371/journal.pone.0248454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 07/22/2021] [Indexed: 12/25/2022] Open
Abstract
People around the world are currently affected by Major Depressive Disorder (MDD). Despite its many aspects, symptoms, manifestations and impacts, efforts have been made to identify the root causes of the disorder. In particular, genetic studies have concentrated on identifying candidate genes for MDD and exploring associations between these genes and some specific group of individuals. The aim of this research was to find out the association between single nucleotide polymorphisms in 6 candidate genes linked to the neurobiology of major depressive disorder in the North-Western population of Pakistan. We performed a case-control analysis, with 400 MDD and 232 controls. A trained psychiatrist or clinical psychologists evaluated the patients. Six polymorphisms were genotyped and tested for allele and genotype association with MDD. There were no statistical variations between MDD patients and healthy controls for genotypic and allelic distribution of all the polymorphisms observed. Thus, our analysis does not support the major role of these polymorphisms in contributing to MDD susceptibility, although it does not preclude minor impact. The statistically significant correlation between six polymorphisms and major depressive disorder in the studied population was not observed. There are inconsistencies in investigations around the world. Future research, including GWAS and association analysis on larger scale should be addressed for further validation and replication of the present findings.
Collapse
Affiliation(s)
- Naqash Alam
- School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi, China
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Sadiq Ali
- School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Nazia Akbar
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
- * E-mail:
| | - Muhammad Ilyas
- Centre for Omic Sciences, Islamia College University, Peshawar, Pakistan
| | - Habib Ahmed
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Arooj Mustafa
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Shehzada Khurram
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Zeeshan Sajid
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Najeeb Ullah
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Shumaila Qayyum
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Tariq Rahim
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | - Mian Syed Usman
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | - Nawad Ali
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | - Imad Khan
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | - Khola Pervez
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - BiBi Sumaira
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Nasir Ali
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| | - Nighat Sultana
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | | | - Madiha Islam
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, Pakistan
| |
Collapse
|
62
|
Antuori A, Montoya V, Piñeyro D, Sumoy L, Joy J, Krajden M, González-Gómez S, Folch C, Casabona J, Matas L, Colom J, Saludes V, Martró E. Characterization of Acute HCV Infection and Transmission Networks in People Who Currently Inject Drugs in Catalonia: Usefulness of Dried Blood Spots. Hepatology 2021; 74:591-606. [PMID: 33609288 DOI: 10.1002/hep.31757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/13/2021] [Accepted: 01/20/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND AIMS Accurate identification of recent HCV infections is critical for tracing the extent and mechanisms of ongoing transmission. We aimed to validate dried blood spot (DBS) samples for the assessment of Hepatitis C virus (HCV) genetic diversity and to determine epidemiological parameters including incidence, determinants of acute infection, and phylogenetic clustering in people who inject drugs (PWID). APPROACH AND RESULTS HCV nonstructural protein 5B next-generation sequencing was performed from plasma and/or DBS in 220 viremic PWID from the HepCdetect II study. No significant differences were found in consensus sequences or Shannon entropy (SE) intrahost diversity estimate between paired plasma/DBS specimens. SE values were used to identify acute infections with 93.3% sensitivity (95% CI, 0.81-1.06) and 95.0% specificity (95% CI, 0.88-1.02) in a set of well-defined controls. An acute HCV infection (either primary infection or reinfection) was detected in 13.5% of viremic participants and was associated with age ≤30 years (OR, 8.09), injecting less than daily (OR, 4.35), ≤5 years of injected drug use (OR, 3.43), sharing cocaine snorting straws (OR, 2.89), and being unaware of their HCV status (OR, 3.62). Annualized HCV incidence was estimated between 31 and 59/100 person-years. On phylogenetic analysis, 46.8% of viremic cases were part of a transmission pair or cluster; age ≤30 years (OR, 6.16), acute infection (OR, 5.73), and infection with subtype 1a (OR, 4.78) were independently associated with this condition. CONCLUSIONS The results obtained from plasma and DBS characterize PWID with acute infection and those involved in ongoing HCV transmission and allow estimating incidence from cross-sectional data. This information is critical for the design and assessment of targeted harm reduction programs and test-and-treat interventions and to facilitate monitoring of HCV elimination in this key population.
Collapse
Affiliation(s)
- Adrián Antuori
- Microbiology DepartmentLaboratori Clínic Metropolitana NordHospital Universitari Germans Trias i PujolInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
- Genetics and Microbiology DepartmentUniversitat Autònoma de BarcelonaBellaterraSpain
| | | | - David Piñeyro
- High Content Genomics & Bioinformatics UnitInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolProgram of Predictive and Personalized Medicine of CancerBadalonaSpain
| | - Lauro Sumoy
- High Content Genomics & Bioinformatics UnitInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolProgram of Predictive and Personalized Medicine of CancerBadalonaSpain
| | - Jeffrey Joy
- BC Centre for Excellence in HIVVancouverBCCanada
- Department of MedicineUniversity of British ColumbiaVancouverBCCanada
| | - Mel Krajden
- Public Health LaboratoryHepatitis-Clinical Prevention Services British Columbia Centre for Disease ControlVancouverBCCanada
| | - Sara González-Gómez
- Microbiology DepartmentLaboratori Clínic Metropolitana NordHospital Universitari Germans Trias i PujolInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
| | - Cinta Folch
- Centre for Epidemiological Studies on Sexually Transmitted Infections and HIV/AIDS of CataloniaPublic Health Agency of CataloniaBadalonaSpain
- Group 27Biomedical Research Networking Centre in Epidemiology and Public HealthInstituto de Salud Carlos IIIMadridSpain
| | - Jordi Casabona
- Centre for Epidemiological Studies on Sexually Transmitted Infections and HIV/AIDS of CataloniaPublic Health Agency of CataloniaBadalonaSpain
- Group 27Biomedical Research Networking Centre in Epidemiology and Public HealthInstituto de Salud Carlos IIIMadridSpain
| | - Lurdes Matas
- Microbiology DepartmentLaboratori Clínic Metropolitana NordHospital Universitari Germans Trias i PujolInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
- Genetics and Microbiology DepartmentUniversitat Autònoma de BarcelonaBellaterraSpain
- Group 27Biomedical Research Networking Centre in Epidemiology and Public HealthInstituto de Salud Carlos IIIMadridSpain
| | - Joan Colom
- Programme for Prevention, Control and Treatment of HIVSTIs and Viral HepatitisPublic Health Agency of CataloniaBarcelonaSpain
| | - Verónica Saludes
- Microbiology DepartmentLaboratori Clínic Metropolitana NordHospital Universitari Germans Trias i PujolInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
- Genetics and Microbiology DepartmentUniversitat Autònoma de BarcelonaBellaterraSpain
- Group 27Biomedical Research Networking Centre in Epidemiology and Public HealthInstituto de Salud Carlos IIIMadridSpain
| | - Elisa Martró
- Microbiology DepartmentLaboratori Clínic Metropolitana NordHospital Universitari Germans Trias i PujolInstitut d'Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
- Genetics and Microbiology DepartmentUniversitat Autònoma de BarcelonaBellaterraSpain
- Group 27Biomedical Research Networking Centre in Epidemiology and Public HealthInstituto de Salud Carlos IIIMadridSpain
| |
Collapse
|
63
|
Schnurr TM, Jørsboe E, Chadt A, Dahl-Petersen IK, Kristensen JM, Wojtaszewski JFP, Springer C, Bjerregaard P, Brage S, Pedersen O, Moltke I, Grarup N, Al-Hasani H, Albrechtsen A, Jørgensen ME, Hansen T. Physical activity attenuates postprandial hyperglycaemia in homozygous TBC1D4 loss-of-function mutation carriers. Diabetologia 2021; 64:1795-1804. [PMID: 33912980 PMCID: PMC8245392 DOI: 10.1007/s00125-021-05461-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 11/30/2020] [Accepted: 02/24/2021] [Indexed: 12/28/2022]
Abstract
AIMS/HYPOTHESIS The common muscle-specific TBC1D4 p.Arg684Ter loss-of-function variant defines a subtype of non-autoimmune diabetes in Arctic populations. Homozygous carriers are characterised by elevated postprandial glucose and insulin levels. Because 3.8% of the Greenlandic population are homozygous carriers, it is important to explore possibilities for precision medicine. We aimed to investigate whether physical activity attenuates the effect of this variant on 2 h plasma glucose levels after an oral glucose load. METHODS In a Greenlandic population cohort (n = 2655), 2 h plasma glucose levels were obtained after an OGTT, physical activity was estimated as physical activity energy expenditure and TBC1D4 genotype was determined. We performed TBC1D4-physical activity interaction analysis, applying a linear mixed model to correct for genetic admixture and relatedness. RESULTS Physical activity was inversely associated with 2 h plasma glucose levels (β[main effect of physical activity] -0.0033 [mmol/l] / [kJ kg-1 day-1], p = 6.5 × 10-5), and significantly more so among homozygous carriers of the TBC1D4 risk variant compared with heterozygous carriers and non-carriers (β[interaction] -0.015 [mmol/l] / [kJ kg-1 day-1], p = 0.0085). The estimated effect size suggests that 1 h of vigorous physical activity per day (compared with resting) reduces 2 h plasma glucose levels by an additional ~0.7 mmol/l in homozygous carriers of the risk variant. CONCLUSIONS/INTERPRETATION Physical activity improves glucose homeostasis particularly in homozygous TBC1D4 risk variant carriers via a skeletal muscle TBC1 domain family member 4-independent pathway. This provides a rationale to implement physical activity as lifestyle precision medicine in Arctic populations. DATA REPOSITORY The Greenlandic Cardio-Metabochip data for the Inuit Health in Transition study has been deposited at the European Genome-phenome Archive ( https://www.ebi.ac.uk/ega/dacs/EGAC00001000736 ) under accession EGAD00010001428.
Collapse
Affiliation(s)
- Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Jørsboe
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Alexandra Chadt
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Leibniz Center for Diabetes research at the Heinrich-Heine-University Duesseldorf, Medical Faculty, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Duesseldorf, Germany
| | - Inger K Dahl-Petersen
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Jonas M Kristensen
- Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen F P Wojtaszewski
- Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Christian Springer
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Leibniz Center for Diabetes research at the Heinrich-Heine-University Duesseldorf, Medical Faculty, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Duesseldorf, Germany
| | - Peter Bjerregaard
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Søren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hadi Al-Hasani
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Leibniz Center for Diabetes research at the Heinrich-Heine-University Duesseldorf, Medical Faculty, Duesseldorf, Germany
- German Center for Diabetes Research (DZD), Duesseldorf, Germany
| | - Anders Albrechtsen
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Marit E Jørgensen
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Greenland Center for Health Research, University of Greenland, Nuuk, Greenland
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
64
|
Arbyn M, Simon M, Peeters E, Xu L, Meijer CJLM, Berkhof J, Cuschieri K, Bonde J, Ostrbenk Vanlencak A, Zhao FH, Rezhake R, Gultekin M, Dillner J, de Sanjosé S, Canfell K, Hillemanns P, Almonte M, Wentzensen N, Poljak M. 2020 list of human papillomavirus assays suitable for primary cervical cancer screening. Clin Microbiol Infect 2021; 27:1083-1095. [PMID: 33975008 DOI: 10.1016/j.cmi.2021.04.031] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/06/2021] [Accepted: 04/27/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Only clinically validated HPV assays can be accepted in cervical cancer screening. OBJECTIVES To update the list of high-risk HPV assays that fulfil the 2009 international validation criteria (Meijer-2009). DATA SOURCES PubMed/Medline, Embase, Scopus, references from selected studies; published in January 2014 to August 2020. STUDY ELIGIBILITY CRITERIA HPV test validation studies and primary screening studies, involving testing with an index HPV test and a comparator HPV test with reporting of disease outcome (occurrence of histologically confirmed cervical precancer; CIN2+). PARTICIPANTS Women participating in cervical cancer screening. INTERVENTIONS Testing with an index and a comparator HPV test of clinician-collected cervical specimens and assessment of disease outcome ( METHODS Assessment of relative clinical accuracy (including non-inferiority statistics index vs comparator assay) and test reproducibility in individual studies; random effects meta-analyses of the relative clinical sensitivity and specificity of index vs comparator tests. RESULTS Seven hrHPV DNA tests consistently fulfilled all validation criteria in multiple studies using predefined test positivity cut-offs (Abbott RealTime High Risk HPV, Anyplex II HPV HR Detection, BD Onclarity HPV Assay, Cobas 4800 HPV Test, HPV-Risk Assay, PapilloCheck HPV-Screening Test and Xpert HPV). Another assay (Alinity m HR HPV Assay) was fully validated in one validation study. The newer Cobas 6800 HPV Test, was validated in two studies against Cobas 4800. Other tests partially fulfilled the international validation criteria (Cervista HPV HR Test, EUROArray HPV, Hybribio's 14 High-Risk HPV, LMNX Genotyping Kit GP HPV, MALDI-TOF, RIATOL qPCR and a number of other in-house developed assays) since the non-inferior accuracy was reached after a posteriori cut-off optimization, inconsistent accuracy findings in different studies, and/or insufficient reproducibility assessment. The APTIMA HPV Assay targeting E6/E7 mRNA of hrHPV was fully validated in one formal validation study and showed slightly lower pooled sensitivity but higher specificity than the standard comparator tests in seven screening studies. However, the current international validation criteria relate to DNA assays. The additional requirement for longitudinal performance data required for non-DNA based HPV assays was not assessed in this review. CONCLUSIONS Eleven hrHPV DNA assays fulfil all requirements for use in cervical cancer screening using clinician-collected specimens.
Collapse
Affiliation(s)
- Marc Arbyn
- Unit of Cancer Epidemiology, Belgian Cancer Centre, Scientific Institute of Public Health, Brussels, Belgium; Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, University Ghent, Ghent, Belgium.
| | - Marie Simon
- Haute Autorité de Santé, Saint Denis, France
| | - Eliana Peeters
- Unit of Cancer Epidemiology, Belgian Cancer Centre, Scientific Institute of Public Health, Brussels, Belgium
| | - Lan Xu
- Unit of Cancer Epidemiology, Belgian Cancer Centre, Scientific Institute of Public Health, Brussels, Belgium; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chris J L M Meijer
- Department of Pathology, Amsterdam University Medical Centre, location VUMC, Amsterdam, the Netherlands
| | - Johannes Berkhof
- Department of Clinical Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, the Netherlands
| | - Kate Cuschieri
- Scottish HPV Reference Laboratory, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Jesper Bonde
- Molecular Pathology Laboratory, Department of Pathology, Copenhagen University Hospital, Hvidovre, Denmark
| | - Anja Ostrbenk Vanlencak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Fang-Hui Zhao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Remila Rezhake
- Unit of Cancer Epidemiology, Belgian Cancer Centre, Scientific Institute of Public Health, Brussels, Belgium; Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; The 3rd Affiliated Teaching Hospital of Xinjiang Medical University (Affiliated Cancer Hospital), Urumqi, China
| | - Murat Gultekin
- Hacettepe University Faculty of Medicine, Department of Obstetrics and Gynecology, Division of Gynaecological Oncology, Ankara, Turkey
| | - Joakim Dillner
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Karen Canfell
- Cancer Research Division, Cancer Council NSW, Sydney, Australia; School of Public Health, University of Sydney, Sydney, Australia
| | - Peter Hillemanns
- Departments of Gynaecology and Obstetrics, Hannover Medical School, Germany
| | | | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer, Institute, Bethesda, MD, USA
| | - Mario Poljak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| |
Collapse
|
65
|
Jahantigh D, Mirani Sargazi F, Sargazi S, Saravani R, Ghazaey Zidanloo S, Heidari Nia M, Piri M. Relationship between Functional miR-143/145 Cluster Variants and Susceptibility to Type 2 Diabetes Mellitus: A Preliminary Case-Control Study and Bioinformatics Analyses. Endocr Res 2021; 46:129-139. [PMID: 33870836 DOI: 10.1080/07435800.2021.1914079] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Purpose: To investigate the link between two variants (rs4705342 and rs4705343) in the promoter of the miR-143/145 cluster with Type 2 diabetes mellitus (T2DM) risk. Methods:A total of 1200 subjects were genotyped using the ARMS-PCR method. Results: The rs4705342 variant enhanced the risk of T2DM under codominant CC (OR = 3.24; 95% CI: 1.89-5.60), recessive TT+TC (OR = 3.02; 95% CI: 1.77-5.17), and dominant TC+CC (OR = 1.35; 95% CI: 1.08-1.71) genetic models. Individuals carrying the C allele of rs4705342 conferred a 1.43 fold increased risk of T2DM. As regards rs4705343, decreased risk of T2DM was observed under codominant TC (OR = 0.53; 95% CI: 0.42-0.67), over-dominant TT+CC (OR = 0.51; 95% CI: 0.40-0.64), and dominant TC+CC (OR = 0.59; 95% CI: 0.48-0.75) models. Haplotype analysis of the variants showed a 1.941-fold increased risk of T2DM regarding the C T combination. Significant associations were noticed between different haplotypes and lipid indices of T2DM patients. There were no notable changes in p-values after adjustment for BMI. Computational analysis revealed that miR143 and/or miR145 target important genes involved in glucose and lipid metabolism. Conclusions: Functional miR-143/145 variants might influence the risk of T2DM. Hence, clarifying the precise regulatory mechanisms of gene expression in the development of T2DM will significantly guide researchers to find a novel target for therapeutic intervention.
Collapse
Affiliation(s)
- Danial Jahantigh
- Department of Biology, Faculty of Science, University of Sistan and Baluchestan, Zahedan, Iran
| | - Fariba Mirani Sargazi
- Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Saman Sargazi
- Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Ramin Saravani
- Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
- Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | | | - Milad Heidari Nia
- Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Maryam Piri
- Diabetes Center, Ali Asghar Hospital, Zahedan University of Medical Sciences, Zahedan, IR Iran
| |
Collapse
|
66
|
Yuan XL, Zhang R, Zheng Y, Sun L, Wang G, Chen S, Xu Y, Chen SL, Qiu K, Ng TK. Corneal curvature-associated MTOR variant differentiates mild myopia from high myopia in Han Chinese population. Ophthalmic Genet 2021; 42:446-457. [PMID: 33979260 DOI: 10.1080/13816810.2021.1923035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 12/11/2020] [Revised: 02/27/2021] [Accepted: 04/18/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Myopia is the most prevalent ocular disorder in the world, and corneal parameters have been regarded as key ocular biometric parameters determining the refractive status. Here, we aimed to determine the association of genome-wide association study-identified corneal curvature (CC)-related gene variants with different severity of myopia and ocular biometric parameters in Chinese population. METHODS Total 2,101 unrelated Han Chinese subjects were recruited, including 1,649 myopia and 452 control subjects. Five previously reported CC-associated gene variants (PDGFRA, MTOR, WNT7B, CMPK1 and RBP3) were genotyped by TaqMan assay, and their association with different myopia severity and ocular biometric parameters were evaluated. RESULTS Joint additive effect analysis showed that MTOR rs74225573 paired with PDGFRA rs2114039 (P = .009, odds ratio (OR) = 4.91) or CMPK1 rs17103186 (P = .002, OR = 13.03) were significantly associated with higher risk in mild myopia. Critically, mild myopia subjects had significantly higher frequency in MTOR rs74225573 C allele than high myopia subjects (P = .003), especially in male subjects (P = .001, OR = 0.49). High myopia subjects carrying MTOR rs74225573 C allele have significant flatter CC (P = .035) and longer corneal radius (P = .044) than those carrying TT genotype. CONCLUSION This study revealed that male high myopia subjects are more prone to carry CC-related MTOR rs74225573 T allele, whereas mild myopia subjects are prone to carry the C allele. MTOR rs7422573 variant could be a genetic marker to differentiate mild from high myopia in risk assessment. ABBREVIATIONS ACD: anterior chamber depth; AL: axial length; AL/CR: axial length/corneal radius ratio; ANOVA: analysis of variance; CC: corneal curvature; CCT: central corneal thickness; C.I.: confidence interval; CMPK1: cytidine/uridine monophosphate kinase 1; CR: corneal radius; D: diopter; GWAS: genome-wide association studies; HWE: Hardy-Weinberg equilibrium; LT: lens thickness; MIPEP: mitochondrial intermediate peptidase; MTOR: mechanistic target of rapamycin kinase; OR: odds ratio; PDGFRA: platelet-derived growth factor receptor-α; RBP3: retinol-binding protein 3; SD: standard deviation; SE: spherical equivalence; SNTB1: syntrophin beta 1; VCD: vitreous chamber depth; VIPR2: vasoactive intestinal peptide receptor 2; WNT7B: wingless/integrated family member 7B.
Collapse
Affiliation(s)
- Xiang-Ling Yuan
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | - Riping Zhang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Yuqian Zheng
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Lixia Sun
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Geng Wang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Shaowan Chen
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Yanxuan Xu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Shao-Lang Chen
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Kunliang Qiu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Tsz Kin Ng
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| |
Collapse
|
67
|
McAlvay AC, Ragsdale AP, Mabry ME, Qi X, Bird KA, Velasco P, An H, Pires JC, Emshwiller E. Brassica rapa Domestication: Untangling Wild and Feral Forms and Convergence of Crop Morphotypes. Mol Biol Evol 2021; 38:3358-3372. [PMID: 33930151 PMCID: PMC8321528 DOI: 10.1093/molbev/msab108] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
The study of domestication contributes to our knowledge of evolution and crop genetic resources. Human selection has shaped wild Brassica rapa into diverse turnip, leafy, and oilseed crops. Despite its worldwide economic importance and potential as a model for understanding diversification under domestication, insights into the number of domestication events and initial crop(s) domesticated in B. rapa have been limited due to a lack of clarity about the wild or feral status of conspecific noncrop relatives. To address this gap and reconstruct the domestication history of B. rapa, we analyzed 68,468 genotyping-by-sequencing-derived single nucleotide polymorphisms for 416 samples in the largest diversity panel of domesticated and weedy B. rapa to date. To further understand the center of origin, we modeled the potential range of wild B. rapa during the mid-Holocene. Our analyses of genetic diversity across B. rapa morphotypes suggest that noncrop samples from the Caucasus, Siberia, and Italy may be truly wild, whereas those occurring in the Americas and much of Europe are feral. Clustering, tree-based analyses, and parameterized demographic inference further indicate that turnips were likely the first crop type domesticated, from which leafy types in East Asia and Europe were selected from distinct lineages. These findings clarify the domestication history and nature of wild crop genetic resources for B. rapa, which provides the first step toward investigating cases of possible parallel selection, the domestication and feralization syndrome, and novel germplasm for Brassica crop improvement.
Collapse
Affiliation(s)
- Alex C McAlvay
- Institute of Economic Botany, New York Botanical Garden, The Bronx, New York, NY, USA
- Department of Botany, University of Wisconsin-Madison, Madison, WI, USA
| | - Aaron P Ragsdale
- McGill Genome Center and Department of Human Genetics, McGill University, Montreal, Canada; Unit of Advanced Genomics, LANGEBIO, Irapuato, Mexico
| | - Makenzie E Mabry
- Division of Biological Sciences, University of Missouri, Columbia, MO, USA
- Florida Museum of Natural History, Gainesville, FL, USA
| | - Xinshuai Qi
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Kevin A Bird
- Ecology, Evolutionary Biology, and Behavior and Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | | | - Hong An
- Division of Biological Sciences, University of Missouri, Columbia, MO, USA
| | - J Chris Pires
- Division of Biological Sciences, University of Missouri, Columbia, MO, USA
| | - Eve Emshwiller
- Department of Botany, University of Wisconsin-Madison, Madison, WI, USA
| |
Collapse
|
68
|
Abstract
We present a deterministic workflow for genotyping single and double transgenic individuals directly upon nascence that prevents overproduction and reduces wasted animals by two-thirds. In our vector concepts, transgenes are accompanied by two of four clearly distinguishable transformation markers that are embedded in interweaved, but incompatible Lox site pairs. Following Cre-mediated recombination, the genotypes of single and double transgenic individuals were successfully identified by specific marker combinations in 461 scorings.
Collapse
Affiliation(s)
- Frederic Strobl
- Physical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe-Universität Frankfurt Am Main (Campus Riedberg), Max-von-Laue-Straße 15, 60438, Frankfurt am Main, Germany.
| | - Ernst H K Stelzer
- Physical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe-Universität Frankfurt Am Main (Campus Riedberg), Max-von-Laue-Straße 15, 60438, Frankfurt am Main, Germany
| |
Collapse
|
69
|
Soejima M, Koda Y. Rapid detection of phenotypes Bombay se del and nonsecretor rs200157007 SNP (302C > T) by real-time PCR-based methods. Sci Rep 2021; 11:14996. [PMID: 34294843 PMCID: PMC8298435 DOI: 10.1038/s41598-021-94659-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/14/2021] [Indexed: 11/12/2022] Open
Abstract
The sedel allele is one of the nonsecretor alleles (se) of FUT2 generated by an Alu-mediated recombination event and was first found in Indian Bombay phenotype individuals who have anti-H, anti-A, and anti-B antibodies in their serum. As well as anti-A, and anti-B antibodies, anti-H is clinically significant because it causes sever hemolytic transfusion reactions. Like sedel, se302 having a missense single nucleotide polymorphism (SNP), 302C > T, is characteristic of South Asians with a frequency of 10-30%. We developed a real-time PCR melting curve analysis for detection of sedel using a 127-bp amplicon encompassing the breakpoint junction. In addition, by performing duplex PCR by amplifying a 65-bp amplicon of the FUT2 coding region at the same time, we could determine the zygosity of sedel in a single tube. We also developed an Eprobe-mediated PCR assay (Eprobe-PCR) for detection of 302C > T of FUT2. These methods were validated by analyzing 58 Tamils and 54 Sinhalese in Sri Lanka. Both the duplex PCR melting curve analysis for determination of sedel zygosity and the Eprobe-PCR assay for detection of 302C > T exactly determined three genotypes. In addition, the results of the present methods were in complete agreement with those obtained by previously established methods. The two present methods were reliable and seem to be advantageous for large-scale association studies of FUT2 polymorphisms in South Asian populations.
Collapse
Affiliation(s)
- Mikiko Soejima
- Department of Forensic Medicine, Kurume University School of Medicine, Kurume, 830-0011, Japan
| | - Yoshiro Koda
- Department of Forensic Medicine, Kurume University School of Medicine, Kurume, 830-0011, Japan.
| |
Collapse
|
70
|
Zhu Y, Dong W, Ma J, Zhang Y, Zhong X, Pan Z, Liu G, Wu Z, Yao H. Comparative genetic analyses provide clues about capsule switching in Streptococcus suis 2 strains with different virulence levels and genetic backgrounds. Microbiol Res 2021; 250:126814. [PMID: 34256310 DOI: 10.1016/j.micres.2021.126814] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 03/10/2021] [Revised: 06/22/2021] [Accepted: 07/04/2021] [Indexed: 12/19/2022]
Abstract
Streptococcus suis (S. suis) is a major bacterial pathogen in the swine industry and an emerging zoonotic agent. S. suis produces an important extracellular component, capsular polysaccharide (CPS), based on which dozens of serotypes have been identified. Through virulence genotyping, we revealed the relatedness between subpopulations of S. suis serotype 2 (SS2), S. suis serotype 3 (SS3) and S. suis serotype 7 (SS7) strains despite their serotype differences. Multilocus sequence typing (MLST) was used to characterize the whole S. suis population and revealed capsule switching between S. suis strains. Importantly, capsule switching occurred in the SS2, SS3 and SS7 strains belonging to CC28 and CC29, which are phylogenetically distinct from the main CC1 SS2 lineage. To further explore capsule switching in S. suis, comparative genomic analyses were performed using available complete S. suis genomes. Phylogenetic analyses suggested that the SS2 strains could be divided into two clades (1 and 2), and those classified into clade 2 colocalized with SS3 and SS7 strains, in accordance with the above virulence genotyping and MLST analyses. Clade 2 SS2 strains presented high genetic similarity to SS3 and SS7 and shared common competence and defensive elements with them but were significantly different from Clade 1 SS2 strains. Notably, although the cps loci shared by Clade 1 and 2 SS2 strains were almost identical, a specific region of the cps locus of strain NSUI002 (Clade 2 SS2) could be found in the SS3 cps locus but not in the Clade 1 SS2 strain. These data indicated that the SS2 strains in CC28 and CC29 might have acquired the cps locus through capsule switching, which could explain the distinct genetic lineages within the SS2 population.
Collapse
Affiliation(s)
- Yinchu Zhu
- Institute of Animal Husbandry and Veterinary Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China; College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Wenyang Dong
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China; Beijing Advanced Innovation Center for Genomics (ICG) & Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, 100871, China
| | - Jiale Ma
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Yue Zhang
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China; College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaojun Zhong
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Zihao Pan
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Guangjin Liu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Zongfu Wu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China
| | - Huochun Yao
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China; Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing, 210095, China; OIE Reference Lab for Swine Streptococcosis, Nanjing, 210095, China.
| |
Collapse
|
71
|
Weng Z, Yang Y, Wang X, Wu L, Hua S, Zhang H, Meng Z. Parentage Analysis in Giant Grouper ( Epinephelus lanceolatus) Using Microsatellite and SNP Markers from Genotyping-by-Sequencing Data. Genes (Basel) 2021; 12:genes12071042. [PMID: 34356058 PMCID: PMC8304347 DOI: 10.3390/genes12071042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 12/18/2022] Open
Abstract
Pedigree information is necessary for the maintenance of diversity for wild and captive populations. Accurate pedigree is determined by molecular marker-based parentage analysis, which may be influenced by the polymorphism and number of markers, integrity of samples, relatedness of parents, or different analysis programs. Here, we described the first development of 208 single nucleotide polymorphisms (SNPs) and 11 microsatellites for giant grouper (Epinephelus lanceolatus) taking advantage of Genotyping-by-sequencing (GBS), and compared the power of SNPs and microsatellites for parentage and relatedness analysis, based on a mixed family composed of 4 candidate females, 4 candidate males and 289 offspring. CERVUS, PAPA and COLONY were used for mutually verification. We found that SNPs had a better potential for relatedness estimation, exclusion of non-parentage and individual identification than microsatellites, and > 98% accuracy of parentage assignment could be achieved by 100 polymorphic SNPs (MAF cut-off < 0.4) or 10 polymorphic microsatellites (mean Ho = 0.821, mean PIC = 0.651). This study provides a reference for the development of molecular markers for parentage analysis taking advantage of next-generation sequencing, and contributes to the molecular breeding, fishery management and population conservation.
Collapse
Affiliation(s)
- Zhuoying Weng
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Yang Yang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Xi Wang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Lina Wu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Sijie Hua
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Hanfei Zhang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Zining Meng
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
- Southern Laboratory of Ocean Science and Engineering, Zhuhai 519000, China
- Correspondence:
| |
Collapse
|
72
|
Ahn YJ, Fuchs J, Houben A, Heckmann S. High-throughput measuring of meiotic recombination rates in barley pollen nuclei using Crystal Digital PCR TM. Plant J 2021; 107:649-661. [PMID: 33949030 DOI: 10.1111/tpj.15305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/27/2021] [Accepted: 04/28/2021] [Indexed: 06/12/2023]
Abstract
Breeding exploits novel allelic combinations assured by meiotic recombination. Barley (Hordeum vulgare) single pollen nucleus genotyping enables measurement of meiotic recombination rates in gametes before fertilization without the need for segregating populations. However, so far, established methods rely on whole-genome amplification of every single pollen nucleus due to their limited DNA content, thus restricting the number of analyzed samples. In this study, high-throughput measurements of meiotic recombination rates in barley pollen nuclei without whole-genome amplification were performed through a Crystal Digital PCRTM -based genotyping assay. Meiotic recombination rates within two centromeric and two distal chromosomal intervals were measured in hybrid plants by genotyping a total of >42 000 individual pollen nuclei (up to 4900 nuclei analyzed per plant). Determined recombination frequencies in pollen nuclei were similar to frequencies in segregating populations. We improved the efficiency of the genotyping by pretreating the pollen nuclei with a thermostable restriction enzyme. Additional opportunities for a higher sample throughput and a further increase of the genotyping efficiency are presented and discussed. Taken together, single barley pollen nucleus genotyping based on Crystal Digital PCRTM enables reliable, rapid and high-throughput meiotic recombination measurements within defined chromosomal intervals of intraspecific hybrid plants. The successful encapsulation of nuclei from a range of species with different nuclear and genome sizes suggests that the proposed method is broadly applicable to genotyping single nuclei.
Collapse
Affiliation(s)
- Yun-Jae Ahn
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstraße 3, Stadt Seeland, 06466, Germany
| | - Joerg Fuchs
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstraße 3, Stadt Seeland, 06466, Germany
| | - Andreas Houben
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstraße 3, Stadt Seeland, 06466, Germany
| | - Stefan Heckmann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstraße 3, Stadt Seeland, 06466, Germany
| |
Collapse
|
73
|
Jonas MM, Rhee S, Kelly DA, Del Valle‐Segarra A, Feiterna‐Sperling C, Gilmour S, Gonzalez‐Peralta RP, Hierro L, Leung DH, Ling SC, Lobzin Y, Lobritto S, Mizuochi T, Narkewicz MR, Sabharwal V, Wen J, Kei Lon H, Marcinak J, Topp A, Tripathi R, Sokal E. Pharmacokinetics, Safety, and Efficacy of Glecaprevir/Pibrentasvir in Children With Chronic HCV: Part 2 of the DORA Study. Hepatology 2021; 74:19-27. [PMID: 33811356 PMCID: PMC8548879 DOI: 10.1002/hep.31841] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/25/2021] [Accepted: 03/22/2021] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND AIMS Glecaprevir/pibrentasvir (GLE/PIB) has shown high efficacy and safety in chronic HCV-infected adults and adolescents; data in children were limited. DORA part 2 is a phase 2/3, nonrandomized, open-label study evaluating the pharmacokinetics, efficacy, and safety of a pediatric formulation of GLE and PIB in children ages 3 to < 12 years. APPROACH AND RESULTS Children with chronic HCV infection, genotype 1-6, with or without compensated cirrhosis, were divided into three cohorts by age-cohort 2 (9 to < 12 years), cohort 3 (6 to < 9 years), and cohort 4 (3 to < 6 years)-and given weight-based doses of GLE and PIB for 8, 12, or 16 weeks. Primary endpoints were sustained virologic response at posttreatment week 12 (SVR12) and steady-state exposure; secondary endpoints were rates of persistent viremia, relapse, and reinfection. Safety and laboratory abnormalities were assessed. Final pediatric dosages determined to be efficacious were 250 mg GLE + 100 mg PIB (in children weighing ≥ 30 to < 45 kg), 200 mg GLE + 80 mg PIB (≥ 20 to < 30 kg), and 150 mg GLE + 60 mg PIB (12 to < 20 kg). Of 80 participants enrolled and dosed, 96% (77/80) achieved SVR12. One participant, on the initial dose ratio, relapsed by posttreatment week 4; no participants had virologic failures on the final dose ratio of GLE 50 mg/PIB 20 mg. Two nonresponders prematurely discontinued the study. Most adverse events (AEs) were mild; no drug-related serious AEs occurred. Pharmacokinetic exposures were comparable to those of adults. CONCLUSIONS A pediatric formulation of GLE/PIB was highly efficacious and well tolerated in chronic HCV-infected children 3 to < 12 years old.
Collapse
Affiliation(s)
- Maureen M. Jonas
- Division of Gastroenterology, Hepatology, and NutritionBoston Children’s HospitalBostonMA
- Department of PediatricsHarvard Medical SchoolBostonMA
| | | | - Deirdre A. Kelly
- The Liver UnitBirmingham Women’s & Children’s Hospital and University of BirminghamBirminghamUnited Kingdom
| | | | - Cornelia Feiterna‐Sperling
- Department of Pediatric Pulmonology, Immunology, and Intensive Care MedicineCharité–Universitätsmedizin BerlinBerlinGermany
| | - Susan Gilmour
- Stollery Children’s Hospital and University of AlbertaEdmontonABCanada
| | | | | | - Daniel H. Leung
- Division of Gastroenterology, Hepatology, and NutritionTexas Children’s HospitalHoustonTX
- Department of PediatricsBaylor College of MedicineHoustonTX
| | - Simon C. Ling
- Division of Gastroenterology, Hepatology, and NutritionThe Hospital for Sick ChildrenTorontoONCanada
- Department of PaediatricsUniversity of TorontoTorontoONCanada
| | - Yuri Lobzin
- Pediatric Research and Clinical Center for Infectious Diseases and North‐Western State Medical University named after I.I. MechnikovRussian FederationSt. PetersburgRussia
| | - Steven Lobritto
- Morgan Stanley Children’s Hospital of New YorkColumbia University Irving Medical CenterNew YorkNY
| | - Tatsuki Mizuochi
- Department of Pediatrics and Child HealthKurume University School of MedicineKurumeJapan
| | - Michael R. Narkewicz
- Digestive Health InstituteChildren’s Hospital ColoradoSection of Pediatric GastroenterologyHepatology, and NutritionDepartment of Pediatrics University of Colorado School of MedicineAuroraCO
| | - Vishakha Sabharwal
- Division of Pediatric Infectious DiseasesDepartment of PediatricsBoston University Medical CenterBostonMA
| | - Jessica Wen
- The Children’s Hospital Philadelphia and University of PennsylvaniaPhiladelphiaPA
| | | | | | | | | | - Etienne Sokal
- Division of Pediatric Gastroenterology and HepatologyUniversité Catholique de LouvainCliniques Universitaires Saint LucBrusselsBelgium
| |
Collapse
|
74
|
Sah RK, Bahadar N, Bah FB, Adlat S, Oo ZM, Zhang L, Ali F, Zobaer MS, Feng X, Zheng Y. Analysis of Dip2B Expression in Adult Mouse Tissues Using the LacZ Reporter Gene. Curr Issues Mol Biol 2021; 43:529-542. [PMID: 34208944 PMCID: PMC8929063 DOI: 10.3390/cimb43020040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 11/23/2022] Open
Abstract
Disconnected (disco)-interacting protein 2 homolog B (Dip2B) is a member of the Dip2 superfamily and plays an essential role in axonal outgrowth during embryogenesis. In adults, Dip2B is highly expressed in different brain regions, as shown by in situ analysis, and may have a role in axon guidance. However, the expression and biological role of Dip2B in other somatic tissues remain unknown. To better visualize Dip2B expression and to provide insight into the roles of Dip2B during postnatal development, we used a Dip2btm1a(wtsi)komp knock-in mouse model, in which a LacZ-Neo fusion protein is expressed under Dip2b promoter and allowed Dip2B expression to be analyzed by X-gal staining. qPCR analyses showed that Dip2b mRNA was expressed in a variety of somatic tissues, including lung and kidney, in addition to brain. LacZ staining indicated that Dip2B is broadly expressed in neuronal, reproductive, and vascular tissues as well as in the kidneys, heart, liver, and lungs. Moreover, neurons and epithelial cells showed rich staining. The broad and intense patterns of Dip2B expression in adult mice provide evidence of the distribution of Dip2B in multiple locations and, thereby, its implication in numerous physiological roles.
Collapse
Affiliation(s)
- Rajiv Kumar Sah
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
| | - Noor Bahadar
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
- WISH Biotechnologies, Beihu Scinece Park B, Changchun 130000, China
| | - Fatoumata Binta Bah
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
| | - Salah Adlat
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
| | - Zin Mar Oo
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
| | - Luqing Zhang
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
| | - Fawad Ali
- Department of Chemistry, Bacha Khan University, Charsadda 6431, KP, Pakistan;
| | - M S Zobaer
- McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA;
| | - Xuechao Feng
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
- Correspondence: (X.F.); (Y.Z.)
| | - Yaowu Zheng
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China; (R.K.S.); (N.B.); (F.B.B.); (S.A.); (Z.M.O.); (L.Z.)
- Correspondence: (X.F.); (Y.Z.)
| |
Collapse
|
75
|
Roldán Martín MB, Márquez Romero C, Guerra Vilches E, Ruiz Usabiaga J, Barrio Castellanos R, Martín Frías M, Plaza Oliver D, Camarero Salces C. Celiac disease screening in children and adolescents with type 1 diabetes mellitus: What test should be performed? Endocrinol Diabetes Nutr (Engl Ed) 2021; 68:153-158. [PMID: 34167694 DOI: 10.1016/j.endien.2020.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 03/06/2020] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Children and adolescents with type 1 diabetes mellitus (T1DM) are at high risk for the development of celiac disease (CD) because of the common genetic characteristics of both conditions. The study objectives were to investigate the frequency of the human leukocyte antigen system (HLA) for CD in pediatric T1DM patients and to determine whether HLA testing is suitable for CD screening in that population and is cost-effective as compared to serological screening for CD. PATIENTS AND METHODS A retrospective, descriptive study was conducted in 296 patients (148 girls; 148 boys) with T1DM aged <18 years who attended a Madrid hospital. Data on the frequency of genotypes DQ2/DQ8 in a subgroup of 92 patients and the additional cost of performing HLA typing for screening CD were collected. Only when the risk HLA haplotype (DQ2/DQ8) is negative no further serological screening for CD is required. RESULTS Twenty-three patients with T1DM (7.77%) also had CD. Alleles DQ2 or DQ8 were found in 91.3% of patients in whom the HLA haplotype was studied. Thus, only 8.7% with a negative haplotype would have benefited from HLA testing. The additional cost of HLA typing was € 105.2 for each patient with positive DQ2 or DQ8 in our population. CONCLUSIONS HLA typing is not a cost-effective screening method for CD in T1DM because of the frequent association of T1DM with risk genotypes for CD.
Collapse
Affiliation(s)
- M Belén Roldán Martín
- Unidad de Endocrinología y Diabetes, Servicio de Pediatría, Hospital Universitario Ramón y Cajal, Departamento de Medicina y Especialidades Médicas, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
| | | | | | - Juan Ruiz Usabiaga
- Servicio de Atención al Paciente, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Raquel Barrio Castellanos
- Unidad de Endocrinología y Diabetes, Servicio de Pediatría, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - María Martín Frías
- Unidad de Endocrinología y Diabetes, Servicio de Pediatría, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - David Plaza Oliver
- Servicio de Pediatría, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Cristina Camarero Salces
- Unidad de Gastroenterología, Servicio de Pediatría, Hospital Universitario Ramón y Cajal, Departamento de Medicina y Especialidades Médicas, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain
| |
Collapse
|
76
|
Aoki A, Mori Y, Okamoto Y, Jinno H. Development of a genotyping platform for SARS-CoV-2 variants using high-resolution melting analysis. J Infect Chemother 2021; 27:1336-1341. [PMID: 34154921 PMCID: PMC8196315 DOI: 10.1016/j.jiac.2021.06.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/14/2021] [Accepted: 06/06/2021] [Indexed: 01/08/2023]
Abstract
Introduction Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus causing coronavirus disease 2019 (COVID-19), has been expanding globally since late 2019. SARS-CoV-2, an RNA virus, has a genome sequence that can easily undergo mutation. Several mutated SARS-CoV-2 strains, including those with higher infectivity than others, have been reported. To reduce SARS-CoV-2 transmission, it is crucial to trace its infection sources. Here, we developed a simple, easy-to-use genotyping method to identify SARS-CoV-2 variants using a high-resolution melting (HRM) analysis. Methods We investigated five mutation sites, A23403G, G25563T, G26144T, T28144C, and G28882A, which are known strain determinants according to GISAID clades (L, S, V, G, GH, and GR). Results We first employed synthetic DNA fragments containing the five characteristic sites for HRM analysis. All sequences clearly differentiated wild-type from mutant viruses. We then confirmed that RNA fragments were suitable for HRM analysis following reverse transcription. Human saliva did not negatively affect the HRM analysis, which supports the absence of a matrix effect. Conclusions Our results indicate that this HRM-based genotyping method can identify SARS-CoV-2 variants. This novel assay platform potentially paves the way for accurate and rapid identification of SARS-CoV-2 infection sources.
Collapse
Affiliation(s)
- Akira Aoki
- Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-Ku, Nagoya, 468-8503, Japan
| | - Yoko Mori
- Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-Ku, Nagoya, 468-8503, Japan
| | - Yoshinori Okamoto
- Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-Ku, Nagoya, 468-8503, Japan
| | - Hideto Jinno
- Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-Ku, Nagoya, 468-8503, Japan.
| |
Collapse
|
77
|
Lee ON, Fukushima K, Park HY, Kawabata S. QTL Analysis of Stem Elongation and Flowering Time in Lettuce Using Genotyping-by-Sequencing. Genes (Basel) 2021; 12:947. [PMID: 34205694 PMCID: PMC8234873 DOI: 10.3390/genes12060947] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/16/2021] [Accepted: 06/18/2021] [Indexed: 11/16/2022] Open
Abstract
Lettuce plants tend to undergo floral initiation by elongation of flower stalks (bolting) under high-temperature and long-day conditions, which is a serious problem for summer lettuce production. Our objective was to generate a high-density genetic map using SNPs obtained from genotyping-by-sequencing (GBS) analysis of F5 recombinant inbred lines (RILs) and to map QTLs involved in stem growth and flowering time in lettuce. A set of 127 intra-specific RIL mapping populations derived from a cross between two varieties, green and red leaf lettuce, were used to identify QTLs related to the number of days from sowing to bolting (DTB), to flowering of the first flower (DTF), to seed-setting of the first flower (DTS), and the total number of leaves (LN), plant height (PH), and total number of branches of main inflorescence (BN) for two consecutive years. Of the 15 QTLs detected, one that controls DTB, DTF, DTS, LN, and PH detected on LG 7, and another QTL that controls DTF, DTS, and PH detected on LG 1. Analysis of the genomic sequence corresponding to the QTL detected on LG 7 led to the identification of 22 putative candidate genes. A consistent QTL related to bolting and flowering time, and corresponding candidate genes has been reported. This study will be valuable in revealing the genetic basis of stem growth and flowering time in lettuce.
Collapse
Affiliation(s)
- O New Lee
- Department of Bio-Industrial and Bioresource, Sejong University, Neungdong-ro 209, Gwangjin-gu, Seoul 05006, Korea;
- Graduate School of Agricultural & Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan; (K.F.); (S.K.)
| | - Keita Fukushima
- Graduate School of Agricultural & Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan; (K.F.); (S.K.)
| | - Han Yong Park
- Department of Bio-Industrial and Bioresource, Sejong University, Neungdong-ro 209, Gwangjin-gu, Seoul 05006, Korea;
| | - Saneyuki Kawabata
- Graduate School of Agricultural & Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan; (K.F.); (S.K.)
| |
Collapse
|
78
|
Skals R, Krogager ML, Appel EVR, Schnurr TM, Have CT, Gislason G, Poulsen HE, Køber L, Engstrøm T, Stender S, Hansen T, Grarup N, Lee CJY, Andersson C, Torp-Pedersen C, Weeke PE. Insulin resistance genetic risk score and burden of coronary artery disease in patients referred for coronary angiography. PLoS One 2021; 16:e0252855. [PMID: 34143812 PMCID: PMC8213191 DOI: 10.1371/journal.pone.0252855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 05/24/2021] [Indexed: 11/18/2022] Open
Abstract
AIMS Insulin resistance associates with development of metabolic syndrome and risk of cardiovascular disease. The link between insulin resistance and cardiovascular disease is complex and multifactorial. Confirming the genetic link between insulin resistance, type 2 diabetes, and coronary artery disease, as well as the extent of coronary artery disease, is important and may provide better risk stratification for patients at risk. We investigated whether a genetic risk score of 53 single nucleotide polymorphisms known to be associated with insulin resistance phenotypes was associated with diabetes and burden of coronary artery disease. METHODS AND RESULTS We genotyped patients with a coronary angiography performed in the capital region of Denmark from 2010-2014 and constructed a genetic risk score of the 53 single nucleotide polymorphisms. Logistic regression using quartiles of the genetic risk score was performed to determine associations with diabetes and coronary artery disease. Associations with the extent of coronary artery disease, defined as one-, two- or three-vessel coronary artery disease, was determined by multinomial logistic regression. We identified 4,963 patients, of which 17% had diabetes and 55% had significant coronary artery disease. Of the latter, 27%, 14% and 14% had one, two or three-vessel coronary artery disease, respectively. No significant increased risk of diabetes was identified comparing the highest genetic risk score quartile with the lowest. An increased risk of coronary artery disease was found for patients with the highest genetic risk score quartile in both unadjusted and adjusted analyses, OR 1.21 (95% CI: 1.03, 1.42, p = 0.02) and 1.25 (95% CI 1.06, 1.48, p<0.01), respectively. In the adjusted multinomial logistic regression, patients in the highest genetic risk score quartile were more likely to develop three-vessel coronary artery disease compared with patients in the lowest genetic risk score quartile, OR 1.41 (95% CI: 1.10, 1.82, p<0.01). CONCLUSIONS Among patients referred for coronary angiography, only a strong genetic predisposition to insulin resistance was associated with risk of coronary artery disease and with a greater disease burden.
Collapse
Affiliation(s)
- Regitze Skals
- Unit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark
- * E-mail:
| | | | - Emil Vincent R. Appel
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Theresia M. Schnurr
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Christian Theil Have
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar Gislason
- Department of Cardiology, Copenhagen University Hospital Gentofte, Hellerup, Denmark
| | - Henrik Enghusen Poulsen
- Department of Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Lars Køber
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Thomas Engstrøm
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Steen Stender
- Department of Clinical Biochemistry, Copenhagen University Hospital Gentofte, Copenhagen, Denmark
| | - Torben Hansen
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Charlotte Andersson
- Department of Cardiology, Copenhagen University Hospital Gentofte, Hellerup, Denmark
| | | | - Peter E. Weeke
- Department of Cardiology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| |
Collapse
|
79
|
Hailu AW, Degarege A, Adamu H, Costa D, Villier V, Mouhajir A, Favennec L, Razakandrainibe R, Petros B. Molecular characterization of Cryptosporidium spp. from humans in Ethiopia. PLoS One 2021; 16:e0253186. [PMID: 34115820 PMCID: PMC8195372 DOI: 10.1371/journal.pone.0253186] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/31/2021] [Indexed: 11/29/2022] Open
Abstract
Data on the distribution and genotype of Cryptosporidium species is limited in Ethiopia. This study examined the presence and genetic diversity of Cryptosporidium species circulating in Ethiopian human population. Stool samples collected from patients who visited rural (n = 94) and urban (n = 93) health centers in Wurgissa and Hawassa district, respectively, were examined for the presence of Cryptosporidium spp. using microscopy, nested PCR and real-time PCR. To detect infection with PCR, analysis of 18S ribosomal RNA was performed. Subtyping was performed by sequencing a fragment of GP60 gene. The overall prevalence of infection was 46% (n = 86) by microscope and PCR. When 48 (out of 86) PCR positive samples were genotyped, two species were identified: C. parvum (n = 40) and C. hominis (n = 8). When 15 of the 40 C. parvum isolates were subtyped, zoonotic subtypes of IIaA14G1R1 (n = 1), IIaA15G2R1 (n = 1), IIaA16G1R1 (n = 2), IIaA16G3R1 (n = 2), IIaA17G1R1 (n = 1), IIaA19G1R1 (n = 1), IIaA20G1R1 (n = 3), IIaA22G1R1 (n = 1), IIaA22G2R1 (n = 1), IIdA23G1 (n = 1) and IIdA24G1 (n = 1) were identified. When 6 of the 8 C. hominis isolates were subtyped, subtypes IaA20 (n = 5), and IdA21(n = 1) were identified. This study suggests that C. parvum and C. hominis are causes of cryptosporidiosis in human in the Wurgissa district and Hawassa in Ethiopia. Zoonotic transmission might be the main route of transmission.
Collapse
Affiliation(s)
- Ambachew W. Hailu
- Department of Microbial Cellular and Molecular Biology, Biomedical Sciences Stream Addis Ababa University, Addis Ababa, Ethiopia
- * E-mail:
| | - Abraham Degarege
- Department of Epidemiology, University of Nebraska Medical Center College of Public Health, Omaha, Nebraska, United States of America
| | - Haileeyesus Adamu
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Damien Costa
- Université de Rouen Normandie, EA7510 ESCAPE, CNR Laboratoire Expert Cryptosporidioses, CHU-Rouen, Rouen, France
| | - Venceslas Villier
- Université de Rouen Normandie, EA7510 ESCAPE, CNR Laboratoire Expert Cryptosporidioses, CHU-Rouen, Rouen, France
| | - Abdelmounaim Mouhajir
- Université de Rouen Normandie, EA7510 ESCAPE, CNR Laboratoire Expert Cryptosporidioses, CHU-Rouen, Rouen, France
| | - Loic Favennec
- Université de Rouen Normandie, EA7510 ESCAPE, CNR Laboratoire Expert Cryptosporidioses, CHU-Rouen, Rouen, France
| | - Romy Razakandrainibe
- Université de Rouen Normandie, EA7510 ESCAPE, CNR Laboratoire Expert Cryptosporidioses, CHU-Rouen, Rouen, France
| | - Beyene Petros
- Department of Microbial Cellular and Molecular Biology, Biomedical Sciences Stream Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
80
|
Manyana S, Gounder L, Pillay M, Manasa J, Naidoo K, Chimukangara B. HIV-1 Drug Resistance Genotyping in Resource Limited Settings: Current and Future Perspectives in Sequencing Technologies. Viruses 2021; 13:1125. [PMID: 34208165 PMCID: PMC8230827 DOI: 10.3390/v13061125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 12/14/2022] Open
Abstract
Affordable, sensitive, and scalable technologies are needed for monitoring antiretroviral treatment (ART) success with the goal of eradicating HIV-1 infection. This review discusses use of Sanger sequencing and next generation sequencing (NGS) methods for HIV-1 drug resistance (HIVDR) genotyping, focusing on their use in resource limited settings (RLS). Sanger sequencing remains the gold-standard method for detecting HIVDR mutations of clinical relevance but is mainly limited by high sequencing costs and low-throughput. NGS is becoming a more common sequencing method, with the ability to detect low-abundance drug-resistant variants and reduce per sample costs through sample pooling and massive parallel sequencing. However, use of NGS in RLS is mainly limited by infrastructure costs. Given these shortcomings, our review discusses sequencing technologies for HIVDR genotyping, focusing on common in-house and commercial assays, challenges with Sanger sequencing in keeping up with changes in HIV-1 treatment programs, as well as challenges with NGS that limit its implementation in RLS and in clinical diagnostics. We further discuss knowledge gaps and offer recommendations on how to overcome existing barriers for implementing HIVDR genotyping in RLS, to make informed clinical decisions that improve quality of life for people living with HIV.
Collapse
Affiliation(s)
- Sontaga Manyana
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Lilishia Gounder
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Melendhran Pillay
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Justen Manasa
- Department of Laboratory Medicine and Investigative Sciences, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe;
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban 4013, South Africa;
- South African Medical Research Council (SAMRC), CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban 4013, South Africa
| | - Benjamin Chimukangara
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban 4013, South Africa;
| |
Collapse
|
81
|
Nathan A, Beynor JI, Baglaenko Y, Suliman S, Ishigaki K, Asgari S, Huang CC, Luo Y, Zhang Z, Lopez K, Lindestam Arlehamn CS, Ernst JD, Jimenez J, Calderón RI, Lecca L, Van Rhijn I, Moody DB, Murray MB, Raychaudhuri S. Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease. Nat Immunol 2021; 22:781-793. [PMID: 34031617 PMCID: PMC8162307 DOI: 10.1038/s41590-021-00933-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 04/15/2021] [Indexed: 12/27/2022]
Abstract
Multimodal T cell profiling can enable more precise characterization of elusive cell states underlying disease. Here, we integrated single-cell RNA and surface protein data from 500,089 memory T cells to define 31 cell states from 259 individuals in a Peruvian tuberculosis (TB) progression cohort. At immune steady state >4 years after infection and disease resolution, we found that, after accounting for significant effects of age, sex, season and genetic ancestry on T cell composition, a polyfunctional type 17 helper T (TH17) cell-like effector state was reduced in abundance and function in individuals who previously progressed from Mycobacterium tuberculosis (M.tb) infection to active TB disease. These cells are capable of responding to M.tb peptides. Deconvoluting this state-uniquely identifiable with multimodal analysis-from public data demonstrated that its depletion may precede and persist beyond active disease. Our study demonstrates the power of integrative multimodal single-cell profiling to define cell states relevant to disease and other traits.
Collapse
Affiliation(s)
- Aparna Nathan
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jessica I Beynor
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Yuriy Baglaenko
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sara Suliman
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Samira Asgari
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Chuan-Chin Huang
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
- Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Zibiao Zhang
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
- Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kattya Lopez
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Socios En Salud Sucursal Peru, Lima, Peru
| | | | - Joel D Ernst
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Roger I Calderón
- Socios En Salud Sucursal Peru, Lima, Peru
- Programa Acadêmico de Tuberculose, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonid Lecca
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
- Socios En Salud Sucursal Peru, Lima, Peru
| | - Ildiko Van Rhijn
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - D Branch Moody
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Megan B Murray
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
- Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
| |
Collapse
|
82
|
Chen Y, Hu N, Liao L, Yu K, Shu XO, Zheng W, Yuan JM, Koh WP, Qiao YL, Fan JH, Dawsey SM, Freedman ND, Taylor PR, Goldstein AM, Abnet CC. ABO genotypes and the risk of esophageal and gastric cancers. BMC Cancer 2021; 21:589. [PMID: 34022824 PMCID: PMC8141232 DOI: 10.1186/s12885-021-08334-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 05/10/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Blood type has been associated with the risk of gastric cancer, but few studies have examined the association with esophageal squamous cell carcinoma (ESCC). METHODS We conducted a case-control study using genotyping data of Chinese individuals, including cases of 2022 ESCC, 1189 gastric cardia adenocarcinoma, 1161 gastric noncardia adenocarcinoma, and 2696 controls. Genetic blood type was imputed using three single nucleotide polymorphisms. We used logistic regression to examine the association between blood type and the risk of each cancer. RESULTS Compared to blood type O, the risk of ESCC was significantly elevated for blood type B and AB, with the highest risk for type AB (OR, 95%CI: 1.34, 1.07-1.67). Analysis of genotype suggested that the association of ESCC was from carrying the B allele. Similarly, blood type was significantly associated with gastric noncardia adenocarcinoma (P < 0.001) with risk significantly elevated in type A (1.37, 1.14-1.65) and AB (1.44, 1.10-1.89) compared to type O. Blood type was not associated with gastric cardia adenocarcinoma (P = 0.13). CONCLUSIONS This study provides novel insights into the association between blood type and the risk of ESCC and restricted previously observed association to only gastric noncardia cancer, providing important evidence to clarify the pattern of association and suggesting mechanisms of action.
Collapse
Affiliation(s)
- Yingxi Chen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA.
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Linda Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Xiao-Ou Shu
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Woon-Puay Koh
- Health Service and Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - You-Lin Qiao
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Jin-Hu Fan
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Sanford M Dawsey
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. 6E3280, Rockville, MD, 20850, USA
| |
Collapse
|
83
|
Wang WP, Bian HB, Wang XZ, Liu L, Wei D. Association of ERBB4 genetic polymorphism with the risk and prognosis of non-small cell lung cancer in Chinese Han population: A population-based case-control study. Medicine (Baltimore) 2021; 100:e25762. [PMID: 34106605 PMCID: PMC8133196 DOI: 10.1097/md.0000000000025762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 04/10/2021] [Indexed: 12/24/2022] Open
Abstract
The aim of this study was to explore the association of rs1836724 single-nucleotide polymorphism (SNP) of ERBB4 with risk and prognosis of non-small cell lung cancer (NSCLC) in the Chinese Han population.The genotype of rs1836724 SNP of ERBB4 from 258 patients with NSCLC and 200 noncancer controls were detected the TaqMan-MGB probes real-time fluorescence polymerase chain reaction. The distribution of genotype and alleles between the 2 groups was compared, and the association between clinicopathological characteristic and rs1836724 SNP was analyzed. Prognosis and influencing factors were analyzed by Kaplan-Meier and Cox regression analysis.There were significant differences in the genotype and allele distribution of ERBB4 rs1836724 between the NSCLC group and control group (P < .05). And CC genotype of rs1836724 was associated with increased risk of NSCLC in the Chinese Han population. Rs1836724 SNP was associated with TNM stage and lymph nodal metastasis (P = .001, P = .007). The median follow-up was 29 months, and the progression-free survival and overall survival of 258 NSCLC patients were 27.91% and 31.39%, respectively. Patients with GG genotype of rs1836724 had poor progression-free survival and overall survival. Rs1836724 SNP was an independent prognostic marker of NSCLC patients, CC genotype had a high risk of poor prognosis (odds ratio = 1.587, 95% confidence interval: 1.079-2.335, P = .019).In Chinese Han populations, rs1836724 SNP of ERBB4 may contribute toward the increased risk and poor prognosis of NSCLC.
Collapse
|
84
|
Abstract
Synthetic efforts towards nucleosides, nucleotides, oligonucleotides and nucleic acids covalently mercurated at one or more of their base moieties are summarized, followed by a discussion of the proposed, realized and abandoned applications of this unique class of compounds. Special emphasis is given to fields in which active research is ongoing, notably the use of HgII -mediated base pairing to improve the hybridization properties of oligonucleotide probes. Finally, this minireview attempts to anticipate potential future applications of organomercury nucleic acids.
Collapse
Affiliation(s)
- Dattatraya Ukale
- Department of Chemistry, University of Turku, Vatselankatu 2, 20014, Turku, Finland
| | - Tuomas Lönnberg
- Department of Chemistry, University of Turku, Vatselankatu 2, 20014, Turku, Finland
| |
Collapse
|
85
|
Vimaleswaran KS, Bodhini D, Jiang J, Ramya K, Mohan D, Shanthi Rani CS, Lakshmipriya N, Sudha V, Pradeepa R, Anjana RM, Mohan V, Radha V. Circulating adiponectin mediates the association between omentin gene polymorphism and cardiometabolic health in Asian Indians. PLoS One 2021; 16:e0238555. [PMID: 33979354 PMCID: PMC8115825 DOI: 10.1371/journal.pone.0238555] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 03/15/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Plasma omentin levels have been shown to be associated with circulating adiponectin concentrations and cardiometabolic disease-related outcomes. In this study, we aim to examine the association of omentin gene polymorphism with serum adiponectin levels and cardiometabolic health status using a genetic approach, and investigate whether these associations are modified by lifestyle factors. METHODS The study included 945 normal glucose tolerant and 941 unrelated individuals with type 2 diabetes randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), in southern India. Study participants were classified into cardiometabolically healthy and unhealthy, where cardiometabolically healthy were those without hypertension, diabetes, and dyslipidemia. Fasting serum adiponectin levels were measured by radioimmunoassay. The omentin A326T (rs2274907) single nucleotide polymorphism (SNP) was screened by polymerase chain reaction-restriction fragment length polymorphism and direct sequencing. RESULTS The 'A' allele of the omentin SNP was significantly associated with lower adiponectin concentrations after adjusting for age, sex, body mass index (BMI), waist circumference (WC) and cardiometabolic health status (p = 1.90 x 10-47). There was also a significant association between circulating adiponectin concentrations and cardiometabolic health status after adjusting for age, sex, BMI, WC and Omentin SNP (p = 7.47x10-10). However, after adjusting for age, sex, BMI, WC and adiponectin levels, the association of 'A' allele with cardiometabolic health status disappeared (p = 0.79) suggesting that adiponectin serves as a mediator of the association between omentin SNP and cardiometabolic health status. There were no significant interactions between the SNP and dietary factors on adiponectin levels and cardiometabolic health status (p>0.25, for all comparisons). CONCLUSIONS Our findings show that adiponectin might function as a mechanistic link between omentin SNP and increased risk of cardiometabolic diseases independent of common and central obesity in Asian Indians. Before strategies to promote adiponectin modulation could be implemented, further studies are required to confirm the molecular mechanisms involved in this triangular relationship between omentin gene, adiponectin and cardiometabolic diseases.
Collapse
Affiliation(s)
- Karani Santhanakrishnan Vimaleswaran
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, United Kingdom
- Institute for Food, Nutrition, and Health, University of Reading, Reading, United Kingdom
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Juanjie Jiang
- Department of Food and Nutritional Sciences, Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, United Kingdom
| | - Kandaswamy Ramya
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Deepa Mohan
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | | | - Nagarajan Lakshmipriya
- Department of Foods, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai, India
| | - Vasudevan Sudha
- Department of Foods, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai, India
| | - Rajendra Pradeepa
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, & ICMR Centre for Advanced Research on Diabetes, Gopalapuram, Chennai, India
| | - Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, & ICMR Centre for Advanced Research on Diabetes, Gopalapuram, Chennai, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes Care, & ICMR Centre for Advanced Research on Diabetes, Gopalapuram, Chennai, India
| | - Venkatesan Radha
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| |
Collapse
|
86
|
Cheng XD, Xu HF, Wei F, Jiang LX, Zhou HZ. The genotype analysis of the hepatitis C virus in Heilongjiang Province, China. Medicine (Baltimore) 2021; 100:e25203. [PMID: 33950918 PMCID: PMC8104223 DOI: 10.1097/md.0000000000025203] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 02/25/2021] [Indexed: 01/04/2023] Open
Abstract
Introduction: Hepatitis C virus (HCV) infection is a major public health issue. HCV genotype identification is clinically important to tailor the dosage and duration of treatment, and recombination in intra-patient populations of HCV may lead to the generation of escape mutants, as previously observed for other RNA viruses. Up to now, there is no study assessing HCV genotypes and subtypes in Heilongjiang Province, China.Methods: To determine genotype and phylogenetic analysis of HCV in Heilongjiang Province is crucial. In this study, we amplified 3 genome regions (5'UTR, E1, and NS5B) of 30 HCV patients in Heilongjiang Province, amplified products were analyzed by bioinformatics.Results: We found that 23 specimens had concordant subtypes in the 3 gene regions (2a and 1b), 7 HCV patients were considered the recombinants, the recombination pattern of the 7 HCV patients in the 5'UTR, E1, and NS5B region as followed: 1b/2a/1b, 2a/2a/1b, 1b/2a/2a, 1b/2a/1b, 1b/2a/1b, 1b/2a/1b, 2a/2a/1b.Conclusions: The findings in the present study showed that a higher recombination rate (23%) than other researches, and the recombination of 2a/1b in the 5'UTR, E1, and NS5B region was only found in the present study up to now.
Collapse
Affiliation(s)
- Xue-Di Cheng
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, Shandong
- Department of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, PR China
| | - Hua-Feng Xu
- Department of Laboratory Diagnosis, Heilongjiang Provincial Hospital
| | - Feng Wei
- Department of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, PR China
| | - Li-Xin Jiang
- Department of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, PR China
| | - Hai-Zhou Zhou
- Department of Laboratory Diagnosis, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, PR China
| |
Collapse
|
87
|
Tan X, Benedict C. Does the Common Type 2 Diabetes-Susceptibility Variant in the MTNR1B Gene Matter for Glycemic Control Among Patients on Antidiabetic Pharmacotherapy? Mayo Clin Proc 2021; 96:1372-1374. [PMID: 33958070 DOI: 10.1016/j.mayocp.2021.03.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 03/01/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Xiao Tan
- Department of Neuroscience (Sleep Science Lab, BMC), Disciplinary Domain of Medicine and Pharmacy, Uppsala University, Sweden
| | - Christian Benedict
- Department of Neuroscience (Sleep Science Lab, BMC), Disciplinary Domain of Medicine and Pharmacy, Uppsala University, Sweden
| |
Collapse
|
88
|
Marca-Ysabel MV, Rajabli F, Cornejo-Olivas M, Whitehead PG, Hofmann NK, Illanes Manrique MZ, Veliz Otani DM, Milla Neyra AK, Castro Suarez S, Meza Vega M, Adams LD, Mena PR, Rosario I, Cuccaro ML, Vance JM, Beecham GW, Custodio N, Montesinos R, Mazzetti Soler PE, Pericak-Vance MA. Dissecting the role of Amerindian genetic ancestry and the ApoE ε4 allele on Alzheimer disease in an admixed Peruvian population. Neurobiol Aging 2021; 101:298.e11-298.e15. [PMID: 33541779 PMCID: PMC8122013 DOI: 10.1016/j.neurobiolaging.2020.10.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 01/21/2023]
Abstract
Alzheimer disease (AD) is the leading cause of dementia in the elderly and occurs in all ethnic and racial groups. The apolipoprotein E (ApoE) ε4 is the most significant genetic risk factor for late-onset AD and shows the strongest effect among East Asian populations followed by non-Hispanic white populations and has a relatively lower effect in African descent populations. Admixture analysis in the African American and Puerto Rican populations showed that the variation in ε4 risk is correlated with the genetic ancestral background local to the ApoE gene. Native American populations are substantially underrepresented in AD genetic studies. The Peruvian population with up to ~80 of Amerindian (AI) ancestry provides a unique opportunity to assess the role of AI ancestry in AD. In this study, we assess the effect of the ApoE ε4 allele on AD in the Peruvian population. A total of 79 AD cases and 128 unrelated cognitive healthy controls from Peruvian population were included in the study. Genome-wide genotyping was performed using the Illumina Global screening array v2.0. Global ancestry and local ancestry analyses were assessed. The effect of the ApoE ε4 allele on AD was tested using a logistic regression model by adjusting for age, gender, and population substructure (first 3 principal components). Results showed that the genetic ancestry surrounding the ApoE gene is predominantly AI (60.6%) and the ε4 allele is significantly associated with increased risk of AD in the Peruvian population (odds ratio = 5.02, confidence interval: 2.3-12.5, p-value = 2e-4). Our results showed that the risk for AD from ApoE ε4 in Peruvians is higher than we have observed in non-Hispanic white populations. Given the high admixture of AI ancestry in the Peruvian population, it suggests that the AI genetic ancestry local to the ApoE gene is contributing to a strong risk for AD in ε4 carriers. Our data also support the findings of an interaction between the genetic risk allele ApoE ε4 and the ancestral backgrounds located around the genomic region of ApoE gene.
Collapse
Affiliation(s)
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mario Cornejo-Olivas
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurológicas, Lima, Peru; Center for Global Health, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Patrice G Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Natalia K Hofmann
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Diego Martin Veliz Otani
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurológicas, Lima, Peru; Fogarty Northern Pacific Global Health Fellows Program, Lima, Peru; Fogarty Interdisciplinary Cerebrovascular Diseases Training Program in South America, Lima, Peru
| | | | - Sheila Castro Suarez
- CBI en Demencias y Enfermedades Desmielinizantes del Sistema Nervioso, Instituto Nacional de Ciencias Neurológicas, Lima, Peru; Atlantic Fellow of Global Brain Health Institute, San Francisco, CA, USA
| | - Maria Meza Vega
- CBI en Demencias y Enfermedades Desmielinizantes del Sistema Nervioso, Instituto Nacional de Ciencias Neurológicas, Lima, Peru; School of Medicine, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Larry D Adams
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Pedro R Mena
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Isasi Rosario
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA; Dr. John Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA; Dr. John Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA; Dr. John Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA; Dr. John Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | | | - Pilar E Mazzetti Soler
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurológicas, Lima, Peru; School of Medicine, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA; Dr. John Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA.
| |
Collapse
|
89
|
Torkamaneh D, Laroche J, Boyle B, Hyten DL, Belzile F. A bumper crop of SNPs in soybean through high-density genotyping-by-sequencing (HD-GBS). Plant Biotechnol J 2021; 19:860-862. [PMID: 33476468 PMCID: PMC8131051 DOI: 10.1111/pbi.13551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 01/14/2021] [Indexed: 05/03/2023]
Affiliation(s)
- Davoud Torkamaneh
- Département de PhytologieUniversité LavalQuébec CityQCCanada
- Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébec CityQCCanada
- Department of Plant AgricultureUniversity of GuelphGuelphONCanada
| | - Jérôme Laroche
- Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébec CityQCCanada
| | - Brian Boyle
- Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébec CityQCCanada
| | - David L. Hyten
- Department of Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNEUSA
| | - François Belzile
- Département de PhytologieUniversité LavalQuébec CityQCCanada
- Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébec CityQCCanada
| |
Collapse
|
90
|
Santoro M, Siotto M, Germanotta M, Mastrorosa A, Papadopoulou D, Aprile I. Association Study of SLC6A4 (5-HTTLPR) Polymorphism and Its Promoter Methylation with Rehabilitation Outcome in Patients with Subacute Stroke. Genes (Basel) 2021; 12:genes12040579. [PMID: 33923526 PMCID: PMC8073642 DOI: 10.3390/genes12040579] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/14/2022] Open
Abstract
Recently it has been suggested that serotonin transporter (SLC6A4) and its 5HTTLPR polymorphism could be involved in post stroke recovery. Here, we characterized the methylation profile of two different CpG islands within the SLC6A4 promoter region in the whole blood of 50 patients with subacute stroke before and after a six-week rehabilitation treatment. These patients were genotyped for 5HTTLPR polymorphism identifying patients on the basis of short (S) and L (L) alleles: 17 patients LL, 22 patients LS and 11 patients SS. At baseline, all CpG sites for both CpG islands displayed a heterogeneous methylation percentage that were not influenced by the different genotypes. After rehabilitation, we found a significant variation in the methylation levels (increase/decrease) in the specific CpG sites of both CpG islands. The statistical analysis showed a significant relationship between the LL, LS and SS alleles and the outcome of the rehabilitation intervention (χ2 (2,50) = 6.395, p = 0.041). Specifically, we found a significant difference between patients with or without a favorable outcome in the LL (11.1% with a favorable outcome) and in the SS (54.4% with a favorable outcome) groups. Our data suggest that 5-HTTLPR polymorphisms and SLC6A4 promoter methylation may be employed as a non-invasive biological marker of recovery in patients with stroke undergoing rehabilitation.
Collapse
|
91
|
Nam BH, Kim H, Seol D, Kim H, Noh ES, Kim EM, Noh JK, Kim YO, Park JY, Kwak W. Genotyping-by-Sequencing of the regional Pacific abalone (Haliotis discus) genomes reveals population structures and patterns of gene flow. PLoS One 2021; 16:e0247815. [PMID: 33826655 PMCID: PMC8026068 DOI: 10.1371/journal.pone.0247815] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 02/12/2021] [Indexed: 01/05/2023] Open
Abstract
Continuous monitoring of the present genetic status is essential to preserve the genetic resource of wild populations. In this study, we sequenced regional Pacific abalone Haliotis discus samples from three different locations around the Korean peninsula to assess population structure, utilizing Genotyping-by-Sequencing (GBS) method. Using PstI enzyme for genome reduction, we demonstrated the resultant library represented the whole genome region with even spacing, and as a result 16,603 single nucleotide variants (SNVs) were produced. Genetic diversity and population structure were investigated using several methods, and a strong genetic heterogeneity was observed in the Korean abalone populations. Additionally, by comparison of the variant sets among population groups, we were able to discover 26 Korean abalone population-specific SNVs, potentially associated with phenotype differences. This is the first study demonstrating the feasibility of GBS for population genetic study on H. discus. Our results will provide valuable data for the genetic conservation and management of wild abalone populations in Korea and help future GBS studies on the marine mollusks.
Collapse
Affiliation(s)
- Bo-Hye Nam
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Hyaekang Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Donghyeok Seol
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Genome, Inc, Seoul, Republic of Korea
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Genome, Inc, Seoul, Republic of Korea
| | - Eun Soo Noh
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Eun Mi Kim
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Jae Koo Noh
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Young-Ok Kim
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Jung Youn Park
- Biotechnology Research Division, National Institute of Fisheries Science, Busan, Republic of Korea
| | - Woori Kwak
- Genome, Inc, Seoul, Republic of Korea
- * E-mail:
| |
Collapse
|
92
|
Montemayor C, Simone A, Long J, Montemayor O, Delvadia B, Rivera R, Lewis KL, Shahsavari S, Gandla D, Dura K, Krishnan US, Wendzel NC, Elavia N, Grissom S, Karagianni P, Bueno M, Loy D, Cacanindin R, McLaughlin S, Tynuv M, Brunker PAR, Roback J, Adams S, Smith H, Biesecker L, Klein HG. An open-source python library for detection of known and novel Kell, Duffy and Kidd variants from exome sequencing. Vox Sang 2021; 116:451-463. [PMID: 33567470 DOI: 10.1111/vox.13035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND OBJECTIVES Next generation sequencing (NGS) has promising applications in transfusion medicine. Exome sequencing (ES) is increasingly used in the clinical setting, and blood group interpretation is an additional value that could be extracted from existing data sets. We provide the first release of an open-source software tailored for this purpose and describe its validation with three blood group systems. MATERIALS AND METHODS The DTM-Tools algorithm was designed and used to analyse 1018 ES NGS files from the ClinSeq® cohort. Predictions were correlated with serology for 5 antigens in a subset of 108 blood samples. Discrepancies were investigated with alternative phenotyping and genotyping methods, including a long-read NGS platform. RESULTS Of 116 genomic variants queried, those corresponding to 18 known KEL, FY and JK alleles were identified in this cohort. 596 additional exonic variants were identified KEL, ACKR1 and SLC14A1, including 58 predicted frameshifts. Software predictions were validated by serology in 108 participants; one case in the FY blood group and three cases in the JK blood group were discrepant. Investigation revealed that these discrepancies resulted from (1) clerical error, (2) serologic failure to detect weak antigenic expression and (3) a frameshift variant absent in blood group databases. CONCLUSION DTM-Tools can be employed for rapid Kell, Duffy and Kidd blood group antigen prediction from existing ES data sets; for discrepancies detected in the validation data set, software predictions proved accurate. DTM-Tools is open-source and in continuous development.
Collapse
Affiliation(s)
- Celina Montemayor
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Alexandra Simone
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - James Long
- Department of Pathology, Walter Reed NMMC, Bethesda, MD, USA
| | - Oscar Montemayor
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Bhavesh Delvadia
- Blood Bank, Emory Medical Laboratories, Emory University Hospital, Atlanta, GA, USA
| | - Robert Rivera
- Department of Anatomic Pathology, Navy Medical Center, San Diego, CA, USA
| | - Katie L Lewis
- Medical Genomics and Metabolic Genetics Branch, NHGRI, Bethesda, MD, USA
| | - Shahin Shahsavari
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Divya Gandla
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Katherine Dura
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Uma S Krishnan
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Nena C Wendzel
- Department of Pathology, Walter Reed NMMC, Bethesda, MD, USA
| | - Nasha Elavia
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Spencer Grissom
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Panagiota Karagianni
- Department of Pathophysiology, National and Kapodistrian University of Athens, Athens, Greece
| | - Marina Bueno
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Debrean Loy
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Rizaldi Cacanindin
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Steven McLaughlin
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Maxim Tynuv
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | - Patricia A R Brunker
- Division of Transfusion Medicine, Department of Pathology, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - John Roback
- Center for Transfusion and Cellular Therapies, Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Sharon Adams
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| | | | - Leslie Biesecker
- Medical Genomics and Metabolic Genetics Branch, NHGRI, Bethesda, MD, USA
| | - Harvey G Klein
- Department of Transfusion Medicine, NIH Clinical Center, Bethesda, MD, USA
| |
Collapse
|
93
|
Lareau CA, Ludwig LS, Muus C, Gohil SH, Zhao T, Chiang Z, Pelka K, Verboon JM, Luo W, Christian E, Rosebrock D, Getz G, Boland GM, Chen F, Buenrostro JD, Hacohen N, Wu CJ, Aryee MJ, Regev A, Sankaran VG. Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nat Biotechnol 2021; 39:451-461. [PMID: 32788668 PMCID: PMC7878580 DOI: 10.1038/s41587-020-0645-6] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/17/2020] [Indexed: 12/24/2022]
Abstract
Natural mitochondrial DNA (mtDNA) mutations enable the inference of clonal relationships among cells. mtDNA can be profiled along with measures of cell state, but has not yet been combined with the massively parallel approaches needed to tackle the complexity of human tissue. Here, we introduce a high-throughput, droplet-based mitochondrial single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq), a method that combines high-confidence mtDNA mutation calling in thousands of single cells with their concomitant high-quality accessible chromatin profile. This enables the inference of mtDNA heteroplasmy, clonal relationships, cell state and accessible chromatin variation in individual cells. We reveal single-cell variation in heteroplasmy of a pathologic mtDNA variant, which we associate with intra-individual chromatin variability and clonal evolution. We clonally trace thousands of cells from cancers, linking epigenomic variability to subclonal evolution, and infer cellular dynamics of differentiating hematopoietic cells in vitro and in vivo. Taken together, our approach enables the study of cellular population dynamics and clonal properties in vivo.
Collapse
Affiliation(s)
- Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
| | - Leif S Ludwig
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Christoph Muus
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Satyen H Gohil
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Academic Haematology, UCL Cancer Institute, London, UK
| | - Tongtong Zhao
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Zachary Chiang
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Karin Pelka
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey M Verboon
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wendy Luo
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elena Christian
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Daniel Rosebrock
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fei Chen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jason D Buenrostro
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Nir Hacohen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine J Wu
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martin J Aryee
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
| |
Collapse
|
94
|
Aznar-Cormano L, Bonnald J, Krief S, Guma N, Debruyne R. Molecular sexing of degraded DNA from elephants and mammoths: a genotyping assay relevant both to conservation biology and to paleogenetics. Sci Rep 2021; 11:7227. [PMID: 33790303 PMCID: PMC8012363 DOI: 10.1038/s41598-021-86010-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/29/2021] [Indexed: 11/24/2022] Open
Abstract
It is important to determine the sex of elephants from their samples-faeces from the field or seized ivory-for forensic reasons or to understand population demography and genetic structure. Molecular sexing methods developed in the last two decades have often shown limited efficiency, particularly in terms of sensitivity and specificity, due to the degradation of DNA in these samples. These limitations have also prevented their use with ancient DNA samples of elephants or mammoths. Here we propose a novel TaqMan-MGB qPCR assay to address these difficulties. We designed it specifically to allow the characterization of the genetic sex for highly degraded samples of all elephantine taxa (elephants and mammoths). In vitro experiments demonstrated a high level of sensitivity and low contamination risks. We applied this assay in two actual case studies where it consistently recovered the right genotype for specimens of known sex a priori. In the context of a modern conservation survey of African elephants, it allowed determining the sex for over 99% of fecal samples. In a paleogenetic analysis of woolly mammoths, it produced a robust hypothesis of the sex for over 65% of the specimens out of three PCR replicates. This simple, rapid, and cost-effective procedure makes it readily applicable to large sample sizes.
Collapse
Affiliation(s)
- Laetitia Aznar-Cormano
- CNRS, Centre de Recherche en Paléontologie Paris (CR2P), Muséum national d'Histoire naturelle, Sorbonne Université, 57 rue Cuvier, CP 38, 75005, Paris, France
| | - Julie Bonnald
- CNRS, Eco-Anthropologie (EA), Muséum national d'Histoire naturelle, Université Paris Diderot, 17 place du Trocadéro, 75016, Paris, France
- Sebitoli Chimpanzee Project, Sebitoli Research Station, Kibale National Park, Fort Portal, Uganda
| | - Sabrina Krief
- CNRS, Eco-Anthropologie (EA), Muséum national d'Histoire naturelle, Université Paris Diderot, 17 place du Trocadéro, 75016, Paris, France
- Sebitoli Chimpanzee Project, Sebitoli Research Station, Kibale National Park, Fort Portal, Uganda
| | | | - Régis Debruyne
- Direction Générale Déléguée à la Recherche, à l'Expertise, la Valorisation et l'Enseignement (DGD-REVE), Muséum national d'Histoire naturelle, 57 rue Cuvier, CP 17, 75005, Paris, France.
| |
Collapse
|
95
|
Shi Y, Zhang L, Bao Y, Wu P, Zhang X. Association of TNIP1 polymorphisms with hepatocellular carcinoma in a Northwest Chinese Han population. Medicine (Baltimore) 2021; 100:e24843. [PMID: 33761643 PMCID: PMC10545217 DOI: 10.1097/md.0000000000024843] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/04/2020] [Accepted: 01/28/2021] [Indexed: 11/26/2022] Open
Abstract
ABSTRACT Study has demonstrated that TNIP1 polymorphisms are associated with an increased risk of HBV-induced hepatocellular carcinoma (HCC). The purpose of this study was to investigate the correlation between polymorphisms in TNIP1 and HCC risk in a Northwest Chinese Han population.A case-control study was conducted including 473 Hepatocellular carcinoma patients and 564 healthy controls. Three SNPs (rs3792792, rs7708392, and rs10036748) were genotyped with Sequenom MassARRAY technology and their associations with HCC risk were analyzed. These data were evaluated using the Chi-square test/Fisher's exact test, genetic model analysis, and haplotype analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association.Patients with the "G" allele of TNIP1 rs7708392 showed a significantly increased risk of HCC (OR = 1.24, 95%CI: 1.01-1.52, P = .042). Significant association was also shown between TNIP1 rs7708392 and HCC susceptibility in Additive model (OR = 1.25; 95% CI = 1.01-1.54; P = .040). Besides, we also found that the "GC" haplotype of rs7708392 and rs10036748 was significantly associated with higher occurrence of HCC (OR = 1.25, 95% CI: 1.01-1.54, P = .039).These results demonstrate that TNIP1 polymorphisms are associated with increased HCC risk in a Northwest Chinese Han population for the first time, which warrants further investigation in the future.
Collapse
Affiliation(s)
- Yuting Shi
- Cadre Health Care Center, Inner Mongolia Autonomous Region People's Hospital, Saihan District, Hohhot
| | | | - Yang Bao
- Cadre Health Care Center, Inner Mongolia Autonomous Region People's Hospital, Saihan District, Hohhot
| | - Pengfei Wu
- Department of General Medicine, The Second Affiliated Hospital of Inner Mongolia Medical University, Huimin District, Hohhot
| | - Xiaoli Zhang
- Department of Oncology Medicine, Inner Mongolia Autonomous Region People's Hospital, Saihan District, Hohhot, China
| |
Collapse
|
96
|
Abstract
Lung cancer is the leading cause of cancer-associated mortality worldwide. Genetic factors are reported to play important roles in lung carcinogenesis. To evaluate genetic susceptibility, we conducted a hospital-based case-control study on the effects of functional single nucleotide polymorphisms (SNPs) in long non-coding RNAs (lncRNAs) and microRNAs on lung cancer development. A total of 917 lung cancer cases and 925 control subjects were recruited. The MALAT1 rs619586 A/G genotype frequencies between patient and control groups were significantly different (P < .001), specifically, 83.85% vs 75.88% (AA), 15.60% vs 21.79% (AG), and 0.55% vs 2.32% (GG). When the homozygous genotype MALAT1 rs619586 AA was used as the reference group, AG (AG vs AA: adjusted odds ratio [OR] 0.65, 95% confidential interval [CI] 0.51-0.83, P = .001) and GG genotypes were associated with significantly decreased risk of lung cancer (GG vs AA: adjusted OR 0.22, 95% CI 0.08-0.59, P = .003). In the dominant model, MALAT1 rs619586 AG/GG variants were also associated with a significantly decreased risk of lung cancer (adjusted OR 0.61, 95% CI 0.48-0.78, P < .001). In the recessive model, when MALAT1 rs619586 AA/AG genotypes were used as the reference group, the GG homozygous genotype was also associated with significantly decreased risk for lung cancer (adjusted OR 0.24, 95% CI 0.09-0.64, P = .004). Hsa-miR-34b/c rs4938723 T > C, pri-miR-124-1 rs531564 C > G and hsa-miR-423 rs6505162 C > A SNPs were not associated with lung cancer risk. Our collective data indicated that MALAT1 rs619586 A/G SNPs significantly reduced the risk of lung cancer. Large-scale studies on different ethnic populations and tissue-specific biological characterization are required to validate the current findings.
Collapse
Affiliation(s)
- Ming Chen
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Deng Cai
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Haiyong Gu
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jun Yang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Liming Fan
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
97
|
Woschke A, Faber M, Stark K, Holtfreter M, Mockenhaupt F, Richter J, Regnath T, Sobottka I, Reiter-Owona I, Diefenbach A, Gosten-Heinrich P, Friesen J, Ignatius R, Aebischer T, Klotz C. Suitability of current typing procedures to identify epidemiologically linked human Giardia duodenalis isolates. PLoS Negl Trop Dis 2021; 15:e0009277. [PMID: 33764999 PMCID: PMC8023459 DOI: 10.1371/journal.pntd.0009277] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/06/2021] [Accepted: 02/26/2021] [Indexed: 12/26/2022] Open
Abstract
Background Giardia duodenalis is a leading cause of gastroenteritis worldwide. Humans are mainly infected by two different subtypes, i.e., assemblage A and B. Genotyping is hampered by allelic sequence heterozygosity (ASH) mainly in assemblage B, and by occurrence of mixed infections. Here we assessed the suitability of current genotyping protocols of G. duodenalis for epidemiological applications such as molecular tracing of transmission chains. Methodology/Principal findings Two G. duodenalis isolate collections, from an outpatient tropical medicine clinic and from several primary care laboratories, were characterized by assemblage-specific qPCR (TIF, CATH gene loci) and a common multi locus sequence typing (MLST; TPI, BG, GDH gene loci). Assemblage A isolates were further typed at additional loci (HCMP22547, CID1, RHP26, HCMP6372, DIS3, NEK15411). Of 175/202 (86.6%) patients the G. duodenalis assemblage could be identified: Assemblages A 25/175 (14.3%), B 115/175 (65.7%) and A+B mixed 35/175 (20.0%). By incorporating allelic sequence heterozygosity in the analysis, the three marker MLST correctly identified 6/9 (66,7%) and 4/5 (80.0%) consecutive samples from chronic assemblage B infections in the two collections, respectively, and identified a cluster of five independent patients carrying assemblage B parasites of identical MLST type. Extended MLST for assemblage A altogether identified 5/6 (83,3%) consecutive samples from chronic assemblage A infections and 15 novel genotypes. Based on the observed A+B mixed infections it is estimated that only 75% and 50% of assemblage A or B only cases represent single strain infections, respectively. We demonstrate that typing results are consistent with this prediction. Conclusions/Significance Typing of assemblage A and B isolates with resolution for epidemiological applications is possible but requires separate genotyping protocols. The high frequency of multiple infections and their impact on typing results are findings with immediate consequences for result interpretation in this field. Giardia duodenalis is a leading cause of gastroenteritis worldwide. Humans are mainly infected by the two different genetic subtypes, assemblage A and B. Molecular typing tools for epidemiological applications such as tracking transmission, attribution to a source and outbreak investigations have been developed and are highly desirable. However, to what degree the tetraploid genome with allelic sequence heterogeneity (ASH), and the frequent occurrence of mixed, assemblage A and B infections hamper performance is unclear. Here, we assessed the suitability of current genotyping protocols for deciphering the molecular epidemiology of G. duodenalis. Against a common reporting bias, we incorporated ASH in the analysis and we show that typing with resolution for epidemiological applications is possible for both, assemblage A and B isolates, but requires separate protocols. We also demonstrate how the high frequency of multiple infections overall impacts on typing results, which has immediate consequences for result interpretation in this field.
Collapse
Affiliation(s)
- Andreas Woschke
- Department of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch Institute, Berlin, Germany
- Laboratory of Innate Immunity, Institute of Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Mirko Faber
- Department for Infectious Disease Epidemiology, Gastrointestinal Infections, Zoonoses and Tropical Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Klaus Stark
- Department for Infectious Disease Epidemiology, Gastrointestinal Infections, Zoonoses and Tropical Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Martha Holtfreter
- Department of Gastroenterology, Hepatology and Infectiology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Frank Mockenhaupt
- Institute of Tropical Medicine and International Health, Charité University Medicine and Berlin Institute of Health, Corporate member of Free University Berlin and Humboldt University Berlin, Berlin, Germany
| | - Joachim Richter
- Department of Gastroenterology, Hepatology and Infectiology, University Hospital Düsseldorf, Düsseldorf, Germany
- Institute of Tropical Medicine and International Health, Charité University Medicine and Berlin Institute of Health, Corporate member of Free University Berlin and Humboldt University Berlin, Berlin, Germany
| | | | - Ingo Sobottka
- LADR GmbH, Medizinisches Versorgungszentrum, Geesthacht, Germany
| | - Ingrid Reiter-Owona
- Institute of Medical Microbiology, Immunology and Parasitology (IMMIP), University Clinic Bonn, Germany
| | - Andreas Diefenbach
- Laboratory of Innate Immunity, Institute of Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
- Department of Microbiology and Hygiene, Labor Berlin, Charité - Vivantes GmbH, Berlin, Germany
| | - Petra Gosten-Heinrich
- Department of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch Institute, Berlin, Germany
| | | | - Ralf Ignatius
- Laboratory of Innate Immunity, Institute of Microbiology, Infectious Diseases and Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
- MVZ Labor 28, Berlin, Germany
| | - Toni Aebischer
- Department of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch Institute, Berlin, Germany
| | - Christian Klotz
- Department of Infectious Diseases, Unit for Mycotic and Parasitic Agents and Mycobacteria, Robert Koch Institute, Berlin, Germany
- * E-mail:
| |
Collapse
|
98
|
Usman B, Zhao N, Nawaz G, Qin B, Liu F, Liu Y, Li R. CRISPR/Cas9 Guided Mutagenesis of Grain Size 3 Confers Increased Rice ( Oryza sativa L.) Grain Length by Regulating Cysteine Proteinase Inhibitor and Ubiquitin-Related Proteins. Int J Mol Sci 2021; 22:ijms22063225. [PMID: 33810044 PMCID: PMC8004693 DOI: 10.3390/ijms22063225] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/19/2021] [Accepted: 03/20/2021] [Indexed: 12/21/2022] Open
Abstract
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas9)-mediated genome editing has become an important way for molecular breeding in crop plants. To promote rice breeding, we edited the Grain Size 3 (GS3) gene for obtaining valuable and stable long-grain rice mutants. Furthermore, isobaric tags for the relative and absolute quantitation (iTRAQ)-based proteomic method were applied to determine the proteome-wide changes in the GS3 mutants compared with wild type (WT). Two target sites were designed to construct the vector, and the Agrobacterium-mediated method was used for rice transformation. Specific mutations were successfully introduced, and the grain length (GL) and 1000-grain weight (GWT) of the mutants were increased by 31.39% and 27.15%, respectively, compared with WT. The iTRAQ-based proteomic analysis revealed that a total of 31 proteins were differentially expressed in the GS3 mutants, including 20 up-regulated and 11 down-regulated proteins. Results showed that differentially expressed proteins (DEPs) were mainly related to cysteine synthase, cysteine proteinase inhibitor, vacuolar protein sorting-associated, ubiquitin, and DNA ligase. Furthermore, functional analysis revealed that DEPs were mostly enriched in cellular process, metabolic process, binding, transmembrane, structural, and catalytic activities. Pathway enrichment analysis revealed that DEPs were mainly involved in lipid metabolism and oxylipin biosynthesis. The protein-to-protein interaction (PPI) network found that proteins related to DNA damage-binding, ubiquitin-40S ribosomal, and cysteine proteinase inhibitor showed a higher degree of interaction. The homozygous mutant lines featured by stable inheritance and long-grain phenotype were obtained using the CRISPR/Cas9 system. This study provides a convenient and effective way of improving grain yield, which could significantly accelerate the breeding process of long-grain japonica parents and promote the development of high-yielding rice.
Collapse
Affiliation(s)
- Babar Usman
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
| | - Neng Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
| | - Gul Nawaz
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
| | - Baoxiang Qin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
| | - Fang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
| | - Yaoguang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agricultural Bioresources, South China Agricultural University, Guangzhou 510642, China
- Correspondence: (Y.L.); (R.L.); Tel.: +86-20-8528-1908 (Y.L.); +86-136-0009-4135 (R.L.)
| | - Rongbai Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning 530004, China; (B.U.); (N.Z.); (G.N.); (B.Q.); (F.L.)
- Correspondence: (Y.L.); (R.L.); Tel.: +86-20-8528-1908 (Y.L.); +86-136-0009-4135 (R.L.)
| |
Collapse
|
99
|
Demaree B, Delley CL, Vasudevan HN, Peretz CAC, Ruff D, Smith CC, Abate AR. Joint profiling of DNA and proteins in single cells to dissect genotype-phenotype associations in leukemia. Nat Commun 2021; 12:1583. [PMID: 33707421 PMCID: PMC7952600 DOI: 10.1038/s41467-021-21810-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 02/11/2021] [Indexed: 12/13/2022] Open
Abstract
Studies of acute myeloid leukemia rely on DNA sequencing and immunophenotyping by flow cytometry as primary tools for disease characterization. However, leukemia tumor heterogeneity complicates integration of DNA variants and immunophenotypes from separate measurements. Here we introduce DAb-seq, a technology for simultaneous capture of DNA genotype and cell surface phenotype from single cells at high throughput, enabling direct profiling of proteogenomic states in tens of thousands of cells. To demonstrate the approach, we analyze the disease of three patients with leukemia over multiple treatment timepoints and disease recurrences. We observe complex genotype-phenotype dynamics that illustrate the subtlety of the disease process and the degree of incongruity between blast cell genotype and phenotype in different clinical scenarios. Our results highlight the importance of combined single-cell DNA and protein measurements to fully characterize the heterogeneity of leukemia.
Collapse
Affiliation(s)
- Benjamin Demaree
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, USA
| | - Cyrille L Delley
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Harish N Vasudevan
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Cheryl A C Peretz
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Children's Hospital and Research Center Oakland, Oakland, CA, USA
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - David Ruff
- Mission Bio, Inc., South San Francisco, CA, USA
| | - Catherine C Smith
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| |
Collapse
|
100
|
Sabiha B, Bhatti A, Fan KH, John P, Aslam MM, Ali J, Feingold E, Demirci FY, Kamboh MI. Assessment of genetic risk of type 2 diabetes among Pakistanis based on GWAS-implicated loci. Gene 2021; 783:145563. [PMID: 33705809 DOI: 10.1016/j.gene.2021.145563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 08/15/2020] [Revised: 02/28/2021] [Accepted: 03/02/2021] [Indexed: 12/12/2022]
Abstract
Genome-wide association studies (GWAS) have identified multiple type 2 diabetes (T2D) loci, mostly among populations of European descent. There is a high prevalence of T2D among Pakistanis. Both genetic and environmental factors may be responsible for this high prevalence. In order to understand the shared genetic basis of T2D among Pakistanis and Europeans, we examined 77 genome-wide significant variants previously implicated among European populations. We genotyped 77 single-nucleotide polymorphisms (SNPs) by iPLEX® Gold or TaqMan® assays in a case-control sample of 1,683 individuals. Association analysis was performed using logistic regression. A total of 16 SNPs (TCF7L2/rs7903146, GLIS3/rs7041847, CHCHD9/rs13292136, PLEKHA1/rs2292626, FTO/rs9936385, CDKAL1/rs7756992, KCNJ11/rs5215, LOC105372155/rs12970134, KCNQ1/rs163182, CTRB1/rs7202877, ST6GAL1/rs16861329, ADAMTS9-AS2/rs6795735, LOC105370275/rs1359790, C5orf67/rs459193, ZBED3-AS1/rs6878122 and UBE2E2/rs7612463) showed statistically significant associations after controlling for the false discovery rate. While KCNQ1/rs163182 and ZBED3-AS1/rs6878122 showed opposite allelic effects, the remaining significant SNPs had the same allelic effects as reported previously. Our data indicate that a selected number of T2D loci previously identified among populations of European descent also affect the risk of T2D in the Pakistani population.
Collapse
Affiliation(s)
- Bibi Sabiha
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan
| | - Attya Bhatti
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan.
| | - Kang-Hsien Fan
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| | - Peter John
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan
| | - Muhammad Muaaz Aslam
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| | - Johar Ali
- Center for Genome Sciences, Rehman Medical College, Phase-V, Hayatabad, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| | - F Yesim Demirci
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
| |
Collapse
|