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Svyatova G, Berezina G, Danyarova L, Kuanyshbekova R, Urazbayeva G. Genetic predisposition to gestational diabetes mellitus in the Kazakh population. Diabetes Metab Syndr 2022; 16:102675. [PMID: 36427366 DOI: 10.1016/j.dsx.2022.102675] [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: 09/16/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS The purpose of the study was to conduct a comparative analysis of population frequencies of alleles and genotypes of polymorphic variants of genes for impaired insulin synthesis and associated with insulin signal transduction. METHODS This investigation uses a genomic database of 1800 conditionally healthy individuals of Kazakh ethnicity, who underwent full genome genotyping using OmniChip 2.5-8 Illumina chips of ∼2.5 million Single Nucleotide Polymorphism at deCODE Iceland Genomic Centre. RESULTS The highest frequency of carriage of minor A allele - 17.6% rs4607517 polymorphism of Glucokinase gene, unfavorable genotypes A/G - 29.5% and A/A - 3.0% in comparison with European and Asian populations, indicates a contribution of hereditary family forms of Maturity-onset diabetes of the young type 2 to gestational diabetes mellitus in Kazakh population. CONCLUSIONS The study of the associations of genetic markers of gestational diabetes mellitus will allow timely identification of high-risk groups before and at an early stage of pregnancy, carrying out the necessary effective preventive measures and, in the case of gestational diabetes mellitus development, optimizing the correction of carbohydrate metabolism disorders and predicting outcomes for the mother and the fetus.
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Affiliation(s)
- Gulnara Svyatova
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Galina Berezina
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Laura Danyarova
- Department of Scientific Research Management, Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan.
| | - Roza Kuanyshbekova
- Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - Gulfairuz Urazbayeva
- Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
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Xu F, Chen S, Zhou S, Yue C, Yang X, Zhang X, Zhan K, He D. Genome-wide association, RNA-seq and iTRAQ analyses identify candidate genes controlling radicle length of wheat. Front Plant Sci 2022; 13:939544. [PMID: 36247556 PMCID: PMC9554269 DOI: 10.3389/fpls.2022.939544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/25/2022] [Indexed: 06/16/2023]
Abstract
The radicle, present in the embryo of a seed, is the first root to emerge at germination, and its rapid growth is essential for establishment and survival of the seedling. However, there are few studies on the critical mechanisms underlying radicle and then radicle length in wheat seedlings, despite its importance as a food crop throughout the world. In the present study, 196 wheat accessions from the Huanghuai Wheat Region were screened to measure radicle length under 4 hydroponic culture environments over 3 years. Different expression genes and proteins (DEGs/DEPs) between accessions with extremely long [Yunong 949 (WRL1), Zhongyu 9,302 (WRL2)] and short roots [Yunong 201 (WRS1), Beijing 841 (WRS2)] were identified in 12 sets of root tissue samples by RNA-seq and iTRAQ (Isobaric tags for relative and absolute quantification). Phenotypic results showed that the elongation zone was significantly longer in root accessions with long roots compared to the short-rooted accessions. A genome-wide association study (GWAS) identified four stable chromosomal regions significantly associated with radicle length, among which 1A, 4A, and 7A chromosomes regions explained 7.17% to12.93% of the phenotypic variation. The omics studies identified the expression patterns of 24 DEGs/DEPs changed at both the transcriptional and protein levels. These DEGs/DEPs were mainly involved in carbon fixation in photosynthetic organisms, photosynthesis and phenylpropanoid biosynthesis pathways. TraesCS1A02G104100 and TraesCS2B02G519100 were involved in the biosynthesis of tricin-lignins in cell walls and may affect the extension of cell walls in the radicle elongation zone. A combination of GWAS and RNA-seq analyses revealed 19 DEGs with expression changes in the four accessions, among which, TraesCS1A02G422700 (a cysteine-rich receptor-like protein kinase 6, CRK6) also showed upregulation in the comparison group by RNA-seq, iTRAQ, and qRT-PCR. BSMV-mediated gene silencing also showed that TaCRK6 improves root development in wheat. Our data suggest that TaCRK6 is a candidate gene regulating radicle length in wheat.
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Affiliation(s)
- Fengdan Xu
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
- Research Institute of Plant Nutrition and Resources and Environments, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Shulin Chen
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Sumei Zhou
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Chao Yue
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Xiwen Yang
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Xiang Zhang
- Research Institute of Plant Nutrition and Resources and Environments, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Kehui Zhan
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Dexian He
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
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Liu C, Liu Y, Yu Y, Zhao Y, Zhang D, Yu A. Identification of Up-Regulated ANXA3 Resulting in Fracture Non-Union in Patients With T2DM. Front Endocrinol (Lausanne) 2022; 13:890941. [PMID: 35813617 PMCID: PMC9263855 DOI: 10.3389/fendo.2022.890941] [Citation(s) in RCA: 4] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/23/2022] [Indexed: 11/22/2022] Open
Abstract
Diabetes mellitus is a metabolic disorder that increases fracture risk and interferes with bone formation and impairs fracture healing. Genomic studies on diabetes and fracture healing are lacking. We used a weighted co-expression network analysis (WGCNA) method to identify susceptibility modules and hub genes associated with T2DM and fracture healing. First, we downloaded the GSE95849, GSE93213, GSE93215, and GSE142786 data from the Gene Expression Omnibus (GEO) website, analyzed differential expression genes and constructed a WGCNA network. Second, we screened out 30 hub genes, which were found to be enriched in neutrophil activation, translational initiation, RAGE receptor binding, propanoate metabolism, and other pathways through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) analyses. Third, we searched for genes related to bone metabolism and fracture healing in the published genome-wide single nucleotide polymorphism (SNP) data, built a protein-protein interaction (PPI) network with hub genes, and found that they were associated with metabolic process, blood vessel development, and extracellular matrix organization. ANXA3 was identified as the biomarker based on gene expression and correlation analysis. And the AUC value of it was 0.947. Fourth, we explored that ANXA3 was associated with neutrophils in fracture healing process by single-cell RNA sequencing analysis. Finally, we collected clinical patient samples and verified the expression of ANXA3 by qRT-PCR in patents with T2DM and fracture non-union. In conclusion, this is the first genomics study on the effect of T2DM on fracture healing. Our study identified some characteristic modules and hub genes in the etiology of T2DM-associated fracture non-union, which may help to further investigate the molecular mechanisms. Up-regulated ANXA3 potentially contributed to fracture non-union in T2DM by mediating neutrophils. It can be a prognostic biomarker and potential therapeutic target.
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Affiliation(s)
| | | | | | | | | | - Aixi Yu
- *Correspondence: Dong Zhang, ; Aixi Yu,
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Yi Q, Álvarez-Iglesias L, Malvar RA, Romay MC, Revilla P. A worldwide maize panel revealed new genetic variation for cold tolerance. Theor Appl Genet 2021; 134:1083-1094. [PMID: 33582854 DOI: 10.1007/s00122-020-03753-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 08/19/2020] [Accepted: 12/12/2020] [Indexed: 05/21/2023]
Abstract
A large association panel of 836 maize inbreds revealed a broader genetic diversity of cold tolerance, as predominantly favorable QTL with small effects were identified, indicating that genomic selection is the most promising option for breeding maize for cold tolerance. Maize (Zea mays L.) has limited cold tolerance, and breeding for cold tolerance is a noteworthy bottleneck for reaching the high potential of maize production in temperate areas. In this study, we evaluate a large panel of 836 maize inbred lines to detect genetic loci and candidate genes for cold tolerance at the germination and seedling stages. Genetic variation for cold tolerance was larger than in previous reports with moderately high heritability for most traits. We identified 187 significant single-nucleotide polymorphisms (SNPs) that were integrated into 159 quantitative trait loci (QTL) for emergence and traits related to early growth. Most of the QTL have small effects and are specific for each environment, with the majority found under control conditions. Favorable alleles are more frequent in 120 inbreds including all germplasm groups, but mainly from Minnesota and Spain. Therefore, there is a large, potentially novel, genetic variability in the germplasm groups represented by these inbred lines. Most of the candidate genes are involved in metabolic processes and intracellular membrane-bounded organelles. We expect that further evaluations of germplasm with broader genetic diversity could identify additional favorable alleles for cold tolerance. However, it is not likely that further studies will find favorable alleles with large effects for improving cold tolerance in maize.
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Affiliation(s)
- Q Yi
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - L Álvarez-Iglesias
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
| | - R A Malvar
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain
| | - M C Romay
- Institute for Genomic Diversity, Cornell University, Ithaca, NY14853, USA
| | - Pedro Revilla
- Misión Biológica de Galicia (CSIC), Apartado 28, E-36080, Pontevedra, Spain.
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Talouarn E, Bardou P, Palhière I, Oget C, Clément V, Tosser-Klopp G, Rupp R, Robert-Granié C. Genome wide association analysis on semen volume and milk yield using different strategies of imputation to whole genome sequence in French dairy goats. BMC Genet 2020; 21:19. [PMID: 32085723 PMCID: PMC7035711 DOI: 10.1186/s12863-020-0826-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 02/13/2020] [Indexed: 01/17/2023] Open
Abstract
Background Goats were domesticated 10,500 years ago to supply humans with useful resources. Since then, specialized breeds that are adapted to their local environment have been developed and display specific genetic profiles. The VarGoats project is a 1000 genomes resequencing program designed to cover the genetic diversity of the Capra genus. In this study, our main objective was to assess the use of sequence data to detect genomic regions associated with traits of interest in French Alpine and Saanen breeds. Results Direct imputation from the GoatSNP50 BeadChip genotypes to sequence level was investigated in these breeds using FImpute and different reference panels: within-breed, all Capra hircus sequenced individuals, European goats and French mainland goats. The best results were obtained with the French goat panel with allele and genotype concordance rates reaching 0.86 and 0.75 in the Alpine and 0.86 and 0.73 in the Saanen breed respectively. Mean correlations tended to be low in both breeds due to the high proportion of variants with low frequencies. For association analysis, imputation was performed using FImpute for 1129 French Alpine and Saanen males using within-breed and French panels on 23,338,436 filtered variants. The association results of both imputation scenarios were then compared. In Saanen goats, a large region on chromosome 19 was significantly linked to semen volume and milk yield in both scenarios. Significant variants for milk yield were annotated for 91 genes on chromosome 19 in Saanen goats. For semen volume, the annotated genes include YBOX2 which is related to azoospermia or oligospermia in other species. New signals for milk yield were detected on chromosome 2 in Alpine goats and on chromosome 5 in Saanen goats when using a multi-breed panel. Conclusion Even with very small reference populations, an acceptable imputation quality can be achieved in French dairy goats. GWAS on imputed sequences confirmed the existence of QTLs and identified new regions of interest in dairy goats. Adding identified candidates to a genotyping array and sequencing more individuals might corroborate the involvement of identified regions while removing potential imputation errors.
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Affiliation(s)
- Estelle Talouarn
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France.
| | - Philippe Bardou
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France.,Sigenae, INRAE, 31326, Castanet-Tolosan, France
| | - Isabelle Palhière
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France
| | - Claire Oget
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France
| | | | | | - Gwenola Tosser-Klopp
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France
| | - Rachel Rupp
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France
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Veljkovic N, Zaric B, Djuric I, Obradovic M, Sudar-Milovanovic E, Radak D, Isenovic ER. Genetic Markers for Coronary Artery Disease. Medicina (Kaunas) 2018; 54:E36. [PMID: 30344267 PMCID: PMC6122104 DOI: 10.3390/medicina54030036] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/18/2018] [Accepted: 05/22/2018] [Indexed: 12/22/2022]
Abstract
Coronary artery disease (CAD) and myocardial infarction (MI) are recognized as leading causes of mortality in developed countries. Although typically associated with behavioral risk factors, such as smoking, sedentary lifestyle, and poor dietary habits, such vascular phenotypes have also long been recognized as being related to genetic background. We review the currently available data concerning genetic markers for CAD in English and non-English articles with English abstracts published between 2003 and 2018. As genetic testing is increasingly available, it may be possible to identify adequate genetic markers representing the risk profile and to use them in a clinical setting.
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Affiliation(s)
- Nevena Veljkovic
- Centre for Multidisciplinary Research and Engineering, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Bozidarka Zaric
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Ilona Djuric
- Department for Endocrinology and Immunoradiology 11080 Zemun, Institute for the Application of Nuclear Energy-INEP, University of Belgrade, 11000 Belgrade, Serbia.
| | - Milan Obradovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Emina Sudar-Milovanovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Djordje Radak
- School of Medicine, Dedinje Cardiovascular Institute, University of Belgrade, 11000 Belgrade, Serbia.
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
- Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia.
| | - Esma R Isenovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
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