Genome Wide Association Study of an Association between Gene Polymorphisms and the Increased Frequency of Cytogenetic Abnormalities in the Persons Exposed to Long-Term Irradiation

2019 ◽  
pp. 18-25
Author(s):  
М. Халюзова ◽  
M. Khalyuzova ◽  
М. Цыганов ◽  
M. Tsyganov ◽  
Д. Исубакова ◽  
...  
Keyword(s):  
Association Study ◽  
Chromosomal Aberrations ◽  
Genome Wide Association Study ◽  
De Novo ◽  
Dose Range ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Polymorphic Variants ◽  
Siberian Group

Purpose: To conduct genome wide association study of the association of 750,000 SNPs and an increased frequency of different types of chromosomal aberrations, induced by chronic irradiation in the dose range of 100–300 mSv. Material and methods: The study was conducted among Siberian Group of Chemical Enterprises healthy employees (n = 37) exposed to professional external γ-radiation in a dose range of 100–300 mSv. The de novo induced CNVs were previously detected in these persons. Mean dose – 188.8 ± 8.3 mSv, median – 185 mSv, interquartile range – 147.8–218.7 mSv, min – 103.4 mSv, max – 295.8 mSv. Genotyping of DNA samples from 37 employees was carried out by microarray CytoScan™ HD Array (Affymetrix, USA), containing 750,000 SNP-markers of 36,000 genes. The standard cytogenetic analysis was performed in the entire examined group. Results: We analyzed the association of these SNPs with the frequencies of aberrant cells and following chromosomal aberrations: single chromatid fragments, chromatid exchanges, paired fragments, dicentrics, rings, and translocations. We have found that 8 SNPs (rs10779468, rs158735, rs158710, rs158712, rs11131536, rs528170, rs9533572, rs10512439) are associated with the frequency of aberrant cells. Conclusion: We have discovered polymorphic variants that are associated with an increased frequency of aberrant cells in workers of Siberian Group of Chemical Enterprises exposed to irradiation at a dose of 100–300 mSv. This polymorphic variants can be considered as potential markers of individual radiosensitivity. To confirm identified associations, further validation studies on an extended sample of people exposed to radiation are needed.

scholarly journals Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

2019 ◽  
Author(s):  
Waltram Ravelombola ◽  
Jun Qin ◽  
Ainong Shi ◽  
Fengmin Wang ◽  
Yan Feng ◽  
...  
Keyword(s):  
Association Study ◽  
Genomic Selection ◽  
Candidate Genes ◽  
Plant Height ◽  
Seed Weight ◽  
Genome Wide Association Study ◽  
Agronomic Traits ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Wide

Abstract Background Soybean [ Glycine max (L.) Merr.] is a legume of great interest worldwide. Enhancing genetic gain for agronomic traits via molecular approaches has been long considered as the main task for soybean breeders and geneticists. The objectives of this study were to evaluate maturity, plant height, seed weight, and yield in a diverse soybean accession panel, to conduct a genome-wide association study (GWAS) for these traits and identify SNP markers associated with the four traits, and to assess genomic selection (GS) accuracy. Results A total of 250 soybean accessions were evaluated for maturity, plant height, seed weight, and yield over three years. This panel was genotyped with a total of 10,259 high quality SNPs postulated from genotyping by sequencing (GBS). GWAS was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model, and GS was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that a total of 20, 31, 37, 31, and 23 SNPs were significantly associated with the average 3-year data for maturity, plant height, seed weight, and yield, respectively; some significant SNPs were mapped into previously described loci ( E2 , E4 , and Dt1 ) affecting maturity and plant height in soybean and a new locus mapped on chromosome 20 was significantly associated with plant height; Glyma.10g228900 , Glyma.19g200800 , Glyma.09g196700 , and Glyma.09g038300 were candidate genes found in the vicinity of the top or the second best SNP for maturity, plant height, seed weight, and yield, respectively; a 11.5-Mb region of chromosome 10 was associated with both seed weight and yield; and GS accuracy was trait-, year-, and population structure-dependent. Conclusions The SNP markers identified from this study for plant height, maturity, seed weight and yield can be used to improve the four agronomic traits through marker-assisted selection (MAS) and GS in soybean breeding programs. After validation, the candidate genes can be transferred to new cultivars using SNP markers through MAS. The high GS accuracy has confirmed that the four agronomic traits can be selected in molecular breeding through GS.

scholarly journals Genome-wide association study overcomes the genome complexity in autohexaploid chrysanthemum and tags SNP markers onto the flower color genes

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Katsuhiko Sumitomo ◽  
Kenta Shirasawa ◽  
Sachiko Isobe ◽  
Hideki Hirakawa ◽  
Tamotsu Hisamatsu ◽  
...  
Keyword(s):  
Single Dose ◽  
Association Study ◽  
Allele Frequency ◽  
Dna Markers ◽  
Genome Wide Association Study ◽  
Chrysanthemum Morifolium ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Complexity ◽  
Genome Wide

Abstract The use of DNA markers has revolutionized selection in crop breeding by linkage mapping and QTL analysis, but major problems still remain for polyploid species where marker-assisted selection lags behind the situation in diploids because of its high genome complexity. To overcome the complex genetic mode in the polyploids, we investigated the development of a strategy of genome-wide association study (GWAS) using single-dose SNPs, which simplify the segregation patterns associated polyploids, with respect to the development of DNA markers. In addition, we employed biparental populations for the GWAS, wherein the SNP allele frequency could be predicted. The research investigated whether the method could be used to effectively develop DNA markers for petal color in autohexaploid chrysanthemum (Chrysanthemum morifolium; 2n = 6x = 54). The causal gene for this trait is already-known CmCCD4a encoding a dioxygenase which cleaves carotenoids in petals. We selected 9,219 single-dose SNPs, out of total 52,489 SNPs identified by dd-RAD-Seq, showing simplex (1 × 0) and double-simplex (1 × 1) inheritance pattern according to alternative allele frequency with respect to the SNP loci in the F1 population. GWAS, using these single-dose SNPs, discovered highly reproducible SNP markers tightly linked to the causal genes. This is the first report of a straightforward GWAS-based marker developing system for use in autohexaploid species.

scholarly journals MULTI-TRAIT MODELS FOR GENOMIC REGIONS ASSOCIATED WITH MAL DE RÍO CUARTO AND BACTERIAL DISEASE IN MAIZE

2021 ◽  
Vol 32 (Issue 1) ◽  
pp. 25-33
Author(s):  
M. Ruiz ◽  
E.A. Rossi ◽  
N.C. Bonamico ◽  
M.G. Balzarini
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Mixed Linear Model ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Bacterial Disease ◽  
Maize Germplasm ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Maize (Zea Mays L.) production has been greatly benefited from the improvement of inbred lines in regard to the resistance to diseases. However, the absence of resistant genotypes to bacteriosis is remarkable. The aim of the study was to identify genomic regions for resistance to Mal de Río Cuarto (MRC) and to bacterial disease (BD) in a diverse maize germplasm evaluated in the Argentinian region where MRC virus is endemic. A maize diverse population was assessed for both diseases during the 2019-2020 crop season. Incidence and severity of MRC and BD were estimated for each line and a genome wide association study (GWAS) was conducted with 78,376 SNP markers. A multi-trait mixed linear model was used for simultaneous evaluation of resistance to MRC and BD in the scored lines. The germplasm showed high genetic variability for both MRC and BD resistance. No significant genetic correlation was observed between the response to both diseases. Promising genomic regions for resistance to MRC and BD were identified and will be confirmed in further trials. Key words: maize disease; genome wide association study; SNP; multi-trait model

scholarly journals MULTI-TRAIT MODELS FOR GENOMIC REGIONS ASSOCIATED WITH MAL DE RÍO CUARTO AND BACTERIAL DISEASE IN MAIZE

2021 ◽  
Vol 32 (Issue 1) ◽  
pp. 25-33
Author(s):  
M. Ruiz ◽  
E.A. Ross ◽  
N.C. Bonamico ◽  
M.G. Balzarini
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Mixed Linear Model ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Bacterial Disease ◽  
Maize Germplasm ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Maize (Zea Mays L.) production has been greatly benefited from the improvement of inbred lines in regard to the resistance to diseases. However, the absence of resistant genotypes to bacteriosis is remarkable. The aim of the study was to identify genomic regions for resistance to Mal de Río Cuarto (MRC) and to bacterial disease (BD) in a diverse maize germplasm evaluated in the Argentinian region where MRC virus is endemic. A maize diverse population was assessed for both diseases during the 2019-2020 crop season. Incidence and severity of MRC and BD were estimated for each line and a genome wide association study (GWAS) was conducted with 78,376 SNP markers. A multi-trait mixed linear model was used for simultaneous evaluation of resistance to MRC and BD in the scored lines. The germplasm showed high genetic variability for both MRC and BD resistance. No significant genetic correlation was observed between the response to both diseases. Promising genomic regions for resistance to MRC and BD were identified and will be confirmed in further trials. Key words: maize disease; genome wide association study; SNP; multi-trait model

scholarly journals Genome-Wide Association Study of Root and Shoot Related Traits in Spring Soybean (Glycine max L.) at Seedling Stages Using SLAF-Seq

2021 ◽  
Vol 12 ◽  
Author(s):  
Ajmal Mandozai ◽  
Abdourazak Alio Moussa ◽  
Qi Zhang ◽  
Jing Qu ◽  
Yeyao Du ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Abiotic Stress Tolerance ◽  
Root Systems ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Entire Genome ◽  
Root Branching ◽  
Genome Wide ◽  
High Efficient

Root systems can display variable genetic architectures leading to nutrient foraging or improving abiotic stress tolerance. Breeding for new soybean varieties with efficient root systems has tremendous potential in enhancing resource use efficiency and plant adaptation for challenging climates. In this study, root related traits were analyzed in a panel of 260 spring soybean with genome-wide association study (GWAS). Genotyping was done with specific locus amplified fragment sequencing (SLAF-seq), and five GWAS models (GLM, MLM, CMLM, FaST-LMM, and EMMAX) were used for analysis. A total of 179,960 highly consistent SNP markers distributed over the entire genome with an inter-marker distance of 2.36 kb was used for GWAS analysis. Overall, 27 significant SNPs with a phenotypic contribution ranging from 20 to 72% and distributed on chromosomes 2, 6, 8, 9, 13, 16 and 18 were identified and two of them were found to be associated with multiple root-related traits. Based on the linkage disequilibrium (LD) distance of 9.5 kb for the different chromosomes, 11 root and shoot regulating genes were detected based on LD region of a maximum 55-bp and phenotypic contribution greater than 22%. Expression analysis revealed an association between expression levels of those genes and the degree of root branching number. The current study provides new insights into the genetic architecture of soybean roots, and the underlying SNPs/genes could be critical for future breeding of high-efficient root system in soybean.

scholarly journals Assessment of population differentiation and linkage disequilibrium in Solanum pimpinellifolium using genome-wide high-density SNP markers

2018 ◽  
Author(s):  
Ya-Ping Lin ◽  
Chu-Yin Liu ◽  
Kai-Yi Chen
Keyword(s):  
Linkage Disequilibrium ◽  
Dna Sequencing ◽  
Association Study ◽  
Population Differentiation ◽  
Population Stratification ◽  
Genome Wide Association Study ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Solanum Pimpinellifolium ◽  
Genome Wide

ABSTRACTTo mine new favorable alleles for tomato breeding, we investigated the feasibility of utilizing Solanum pimpinellifolium as a diverse panel of genome-wide association study through the restriction site-associated DNA sequencing technique. Previous attempts to conduct genome-wide association study using S. pimpinellifolium were impeded by an inability to correct for population stratification and by lack of high-density markers to address the issue of rapid linkage disequilibrium decay. In the current study, a set of 24,330 SNPs was identified using 99 S. pimpinellifolium accessions from the Tomato Genetic Resource Center. Approximately 84% PstI site-associated DNA sequencing regions were located in the euchromatic regions, resulting in the tagging of most SNPs on or near genes. Our genotypic data suggested that the optimum number of S. pimpinellifolium ancestral subpopulations was three, and accessions were classified into seven groups. In contrast to the SolCAP SNP genotypic data of previous studies, our SNP genotypic data consistently confirmed the population differentiation, achieving a relatively uniform correction of population stratification. Moreover, as expected, rapid linkage disequilibrium decay was observed in S. pimpinellifolium, especially in euchromatic regions. Approximately two-thirds of the flanking SNP markers did not display linkage disequilibrium. Our result suggests that higher density of molecular markers and more accessions are required to conduct the genome-wide association study utilizing the Solanum pimpinellifolium collection.

scholarly journals Genome-wide association study reveals the genes associated with the leaf inclusion contents in Chinese medical tree Eucommia ulmoides

2021 ◽  
Vol 85 (2) ◽  
pp. 233-241
Author(s):  
Yong-Cheng Liu ◽  
Xiao-Xi Peng ◽  
Yan-Bing Lu ◽  
Xue-Xian Wu ◽  
Lin-Wu Chen ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Significant Snps ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Eucommia Ulmoides ◽  
Genetic Loci ◽  
Single Nucleotide ◽  
Gutta Percha ◽  
Genome Wide

ABSTRACT Eucommia ulmoides is an economic tree that can biosynthesize secondary metabolites with pharmacological functions. Genetic basis of biosynthesis of these compounds is almost unknown. Therefore, genomic-wide association study was performed to exploit the genetic loci maybe involved in biosynthetic pathways of 5 leaf inclusions (aucubin, chlorogenic acid, gutta-percha, polyphenols, total flavonoids). It was shown that contents of the 5 leaf metabolites have a wide variation following normal distribution. A total of 2 013 102 single nucleotide polymorphism (SNP) markers were identified in a population containing 62 individual clones. Through genome-wide association study analysis, many SNP loci were identified perhaps associated with phenotypes of the leaf inclusions. Higher transcriptional levels of the candidate genes denoted by significant SNPs in leaves suggested they may be involved in biosynthesis of the leaf inclusions. These genetic loci provide with invaluable information for further studies on the gene functions in biosynthesis of the leaf inclusions and selective breeding of the plus trees.

scholarly journals A Genome-Wide Association Study for Resistance to the Insect Pest Leptocybe invasa in Eucalyptus grandis Reveals Genomic Regions and Positional Candidate Defense Genes

2020 ◽  
Vol 61 (7) ◽  
pp. 1285-1296
Author(s):  
Lorraine Mhoswa ◽  
Marja M O’Neill ◽  
Makobatjatji M Mphahlele ◽  
Caryn N Oates ◽  
Kitt G Payn ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Eucalyptus Grandis ◽  
Nucleotide Binding ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Wide ◽  
A Genome ◽  
Leptocybe Invasa ◽  
Genomic Regions

Abstract The galling insect, Leptocybe invasa, causes significant losses in plantations of various Eucalyptus species and hybrids, threatening its economic viability. We applied a genome-wide association study (GWAS) to identify single-nucleotide polymorphism (SNP) markers associated with resistance to L. invasa. A total of 563 insect-challenged Eucalyptus grandis trees, from 61 half-sib families, were genotyped using the EUChip60K SNP chip, and we identified 15,445 informative SNP markers in the test population. Multi-locus mixed-model (MLMM) analysis identified 35 SNP markers putatively associated with resistance to L. invasa based on four discreet classes of insect damage scores: (0) not infested, (1) infested showing evidence of oviposition but no gall development, (2) infested with galls on leaves, midribs or petioles and (3) stunting and lethal gall formation. MLMM analysis identified three associated genomic regions on chromosomes 3, 7 and 8 jointly explaining 17.6% of the total phenotypic variation. SNP analysis of a validation population of 494 E. grandis trees confirmed seven SNP markers that were also detected in the initial association analysis. Based on transcriptome profiles of resistant and susceptible genotypes from an independent experiment, we identified several putative candidate genes in associated genomic loci including Nucleotide-binding ARC- domain (NB-ARC) and toll-interleukin-1-receptor-Nucleotide binding signal- Leucine rich repeat (TIR-NBS-LRR) genes. Our results suggest that Leptocybe resistance in E. grandis may be influenced by a few large-effect loci in combination with minor effect loci segregating in our test and validation populations.

scholarly journals The Minnesota Center for Twin and Family Research Genome-Wide Association Study

2012 ◽  
Vol 15 (6) ◽  
pp. 767-774 ◽  
Author(s):  
Michael B. Miller ◽  
Saonli Basu ◽  
Julie Cunningham ◽  
Eleazar Eskin ◽  
Steven M. Malone ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Generalized Least Squares ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Family Research ◽  
Genome Wide ◽  
A Genome ◽  
Array Quality ◽  
The Rich

As part of the Genes, Environment and Development Initiative, the Minnesota Center for Twin and Family Research (MCTFR) undertook a genome-wide association study, which we describe here. A total of 8,405 research participants, clustered in four-member families, have been successfully genotyped on 527,829 single nucleotide polymorphism (SNP) markers using Illumina's Human660W-Quad array. Quality control screening of samples and markers as well as SNP imputation procedures are described. We also describe methods for ancestry control and how the familial clustering of the MCTFR sample can be accounted for in the analysis using a Rapid Feasible Generalized Least Squares algorithm. The rich longitudinal MCTFR assessments provide numerous opportunities for collaboration.

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