scholarly journals Haplotype-Based Genome-Wide Association Study and Identification of Candidate Genes Associated with Carcass Traits in Hanwoo Cattle

Genes ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 551
Author(s):  
Swati Srivastava ◽  
Krishnamoorthy Srikanth ◽  
Sohyoung Won ◽  
Ju-Hwan Son ◽  
Jong-Eun Park ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Haplotype Block ◽  
Genome Wide Association Study ◽  
Carcass Traits ◽  
Gene Set Enrichment Analysis ◽  
Genome Wide Association ◽  
Haplotype Blocks ◽  
Genome Wide ◽  
Hanwoo Cattle

Hanwoo, is the most popular native beef cattle in South Korea. Due to its extensive popularity, research is ongoing to enhance its carcass quality and marbling traits. In this study we conducted a haplotype-based genome-wide association study (GWAS) by constructing haplotype blocks by three methods: number of single nucleotide polymorphisms (SNPs) in a haplotype block (nsnp), length of genomic region in kb (Len) and linkage disequilibrium (LD). Significant haplotype blocks and genes associated with them were identified for carcass traits such as BFT (back fat thickness), EMA (eye Muscle area), CWT (carcass weight) and MS (marbling score). Gene-set enrichment analysis and functional annotation of genes in the significantly-associated loci revealed candidate genes, including PLCB1 and PLCB4 present on BTA13, coding for phospholipases, which might be important candidates for increasing fat deposition due to their role in lipid metabolism and adipogenesis. CEL (carboxyl ester lipase), a bile-salt activated lipase, responsible for lipid catabolic process was also identified within the significantly-associated haplotype block on BTA11. The results were validated in a different Hanwoo population. The genes and pathways identified in this study may serve as good candidates for improving carcass traits in Hanwoo cattle.

scholarly journals Genome-Wide Association Study of Postoperative Cognitive Dysfunction in Older Surgical Patients

2020 ◽  
Author(s):  
Marc Rickenbacher ◽  
Céline S Reinbold ◽  
Stefan Herms ◽  
Per Hoffmann ◽  
Sven Cichon ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Cognitive Dysfunction ◽  
Genome Wide Association Study ◽  
Postoperative Cognitive Dysfunction ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Genome Wide Association ◽  
Genome Wide ◽  
A Genome

Abstract Background: Postoperative cognitive dysfunction (POCD) is a common neurocognitive complication after surgery and anesthesia, particularly in elderly patients. Various studies have suggested genetic risk factors for POCD. The study aimed to detect genome-wide associations of POCD in older patients.Methods: In this prospective observational cohort study, participants aged ≥65 years completed a set of neuropsychological tests before, at 1 week, and 3 months after major noncardiac surgery. Test variables were converted into standard scores (z-scores) based on demographic characteristics. POCD was diagnosed if the decline was >1 standard deviation in ≥2 of the 15 variables in the assessment battery. A genome-wide association study (GWAS) was performed to determine potential alleles that are linked to the POCD phenotype. In addition, candidate genes for POCD were identified in a literature search for further analysis.Results: Sixty-three patients with blood samples were included in the study. POCD was diagnosed in 47.6% of patients at 1 week and in 34.2% of patients at 3 months after surgery. Insufficient sample quality led to exclusion of 26 patients. In the remaining 37 patients, a GWAS was performed, but no association (P < 5*10-8) with POCD was found. The subsequent gene set enrichment analysis of 34 candidate genes did not reveal any significant associations.Conclusion: In this patient cohort, a GWAS did not reveal an association between specific genetic alleles and POCD at 1 week and 3 months after surgery. Future genetic analysis should focus on specific candidate genes for POCD.Trial registration: ClinicalTrials.gov (NCT02864173)

scholarly journals Genome-Wide Association Study and Pathway Analysis for Female Fertility Traits in Iranian Holstein Cattle

2020 ◽  
Vol 20 (3) ◽  
pp. 825-851
Author(s):  
Ali Mohammadi ◽  
Sadegh Alijani ◽  
Seyed Abbas Rafat ◽  
Rostam Abdollahi-Arpanahi
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Female Fertility ◽  
Gene Set Enrichment Analysis ◽  
Genome Wide Association ◽  
Holstein Cattle ◽  
Potential Candidate ◽  
Genome Wide ◽  
Fertility Traits

AbstractFemale fertility is an important trait that contributes to cow’s profitability and it can be improved by genomic information. The objective of this study was to detect genomic regions and variants affecting fertility traits in Iranian Holstein cattle. A data set comprised of female fertility records and 3,452,730 pedigree information from Iranian Holstein cattle were used to predict the breeding values, which were then employed to estimate the de-regressed proofs (DRP) of genotyped animals. A total of 878 animals with DRP records and 54k SNP markers were utilized in the genome-wide association study (GWAS). The GWAS was performed using a linear regression model with SNP genotype as a linear covariate. The results showed that an SNP on BTA19, ARS-BFGL-NGS-33473, was the most significant SNP associated with days from calving to first service. In total, [69] significant SNPs were located within 27 candidate genes. Novel potential candidate genes include OSTN, DPP6, EphA5, CADPS2, Rfc1, ADGRB3, Myo3a, C10H14orf93, KIAA1217, RBPJL, SLC18A2, GARNL3, NCALD, ASPH, ASIC2, OR3A1, CHRNB4, CACNA2D2, DLGAP1, GRIN2A and ME3. These genes are involved in different pathways relevant to female fertility and other characteristics in mammals. Gene set enrichment analysis showed that thirteen GO terms had significant overrepresentation of genes statistically associated with female fertility traits. The results of network analysis identified CCNB1 gene as a hub gene in the progesterone-mediated oocyte maturation pathway, significantly associated with age at first calving. The candidate genes identified in this study can be utilized in genomic tests to improve reproductive performance in Holstein cattle.

scholarly journals A Genome-Wide Association Study Identifying Genetic Variants Associated with Growth, Carcass and Meat Quality Traits in Rabbits

Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1068
Author(s):  
Xue Yang ◽  
Feilong Deng ◽  
Zhoulin Wu ◽  
Shi-Yi Chen ◽  
Yu Shi ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Meat Quality ◽  
Genome Wide Association Study ◽  
Carcass Traits ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Genome Wide ◽  
A Genome

Growth, carcass characteristics and meat quality are the most important traits used in the rabbit industry. Identification of the candidate markers and genes significantly associated with these traits will be beneficial in rabbit breeding. In this study, we enrolled 465 rabbits, including 16 male Californian rabbits and 17 female Kangda5 line rabbits as the parental generation, along with their offspring (232 male and 200 female), in a genome-wide association study (GWAS) based on SLAF-seq technology. Bodyweight at 35, 42, 49, 56, 63 and 70 d was recorded for growth traits; and slaughter liveweight (84 d) and dressing out percentage were measured as carcass traits; and cooking loss and drip loss were measured as meat quality traits. A total of 5,223,720 SLAF markers were obtained by digesting the rabbit genome using RsaI + EcoRV-HF® restriction enzymes. After quality control, a subset of 317,503 annotated single-nucleotide polymorphisms (SNPs) was retained for subsequent analysis. A total of 28, 81 and 10 SNPs for growth, carcass and meat quality traits, respectively, were identified based on genome-wide significance (p < 3.16 × 10−7). Additionally, 16, 71 and 9 candidate genes were identified within 100 kb upstream or downstream of these SNPs. Further analysis is required to determine the biological roles of these candidate genes in determining rabbit growth, carcass traits and meat quality.

scholarly journals The Genetic Structure of Pain in Depression Patients: A Genome-Wide Association Study and Proteome-Wide Association Study

2022 ◽  
Author(s):  
Zhen Zhang ◽  
Li Liu ◽  
Huijie Zhang ◽  
Chun'e Li ◽  
Yujing Chen ◽  
...  
Keyword(s):  
Association Study ◽  
Genetic Correlation ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Gene Set Enrichment Analysis ◽  
Genome Wide Association ◽  
Post Traumatic Stress ◽  
Genome Wide ◽  
A Genome

Abstract Background Pain symptoms are common in the patients with depression. Comparing with the general population, the pain in depression patients has more complex biological mechanism. We aim to explore the etiological mechanism of pain in depression patients from the perspective of genetics. Methods Utilizing the UK Biobank samples with self-reported depression status or PHQ score ≥10, we conducted genome-wide association study (GWAS) of seven pain traits (N=1,133-58,349). The GWAS summary were then integrated with two different reference protein weights (ROS/MAP and Banner) for proteome-wide association study (PWAS) using the FUSION pipeline. Additionally, LDSC analysis was performed to explore the genetic correlation between pain traits in depression patients and common psychiatry disorders. And biological processes and functions that related to pain associated genes in depression patients were analyzed by gene set enrichment analysis. Results GWAS identified 3 significant genes associated with different pain traits in depression patients, including TRIOBP (PGWAS= 4.48× 10−8) for stomach or abdominal pain, SLC9A9(PGWAS= 2.77× 10−8) for multisite chronic pain (MCP) and ADGRF1 (PGWAS= 1.51× 10−8) for neck or shoulder pain. PWAS also identified multiple candidate genes associated with different pain traits in depression patients, such as TPRG1L (permutation-based PPWAS−Banner= 3.38× 10−2) and SIRPA (permutation-based PPWAS−Banner= 3.65×10−2) for MCP etc. LDSC analysis results showed that MCP was positively correlated with attention-deficit hyperactivity disorder (ADHD) (genetic correlation(rg) = 0.123, PLDSC = 0.039) and post-traumatic stress disorder (PTSD) (rg = 0.217, PLDSC = 0.029). Conclusions We reported multiple novel candidate genes and genetic correlations for pain traits in depression patients, providing novel clues for understanding the genetic mechanisms underlying the pain in depression patients.

scholarly journals Genome-Wide Association Study Reveals the Genetic Basis of Cold Tolerance in Rice at the Seedling Stage

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 318
Author(s):  
Tae-Ho Ham ◽  
Yebin Kwon ◽  
Yoonjung Lee ◽  
Jisu Choi ◽  
Joohyun Lee
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Cold Tolerance ◽  
Genome Wide Association Study ◽  
Seedling Stage ◽  
Genome Wide Association ◽  
Matrix Analysis ◽  
Rice Seedlings ◽  
Genome Wide ◽  
A Genome

We conducted a genome-wide association study (GWAS) of cold tolerance in a collection of 127 rice accessions, including 57 Korean landraces at the seedling stage. Cold tolerance of rice seedlings was evaluated in a growth chamber under controlled conditions and scored on a 0–9 scale, based on their low-temperature response and subsequent recovery. GWAS, together with principal component analysis (PCA) and kinship matrix analysis, revealed four quantitative trait loci (QTLs) on chromosomes 1, 4, and 5 that explained 16.5% to 18.5% of the variance in cold tolerance. The genomic region underlying the QTL on chromosome four overlapped with a previously reported QTL associated with cold tolerance in rice seedlings. Similarly, one of the QTLs identified on chromosome five overlapped with a previously reported QTL associated with seedling vigor. Subsequent bioinformatic and haplotype analyses revealed three candidate genes affecting cold tolerance within the linkage disequilibrium (LD) block of these QTLs: Os01g0357800, encoding a pentatricopeptide repeat (PPR) domain-containing protein; Os05g0171300, encoding a plastidial ADP-glucose transporter; and Os05g0400200, encoding a retrotransposon protein, Ty1-copia subclass. The detected QTLs and further evaluation of these candidate genes in the future will provide strategies for developing cold-tolerant rice in breeding programs.

scholarly journals Genome-Wide Association Study Identified Novel Candidate Loci/Genes Affecting Lodging Resistance in Rice

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 718
Author(s):  
Bingxin Meng ◽  
Tao Wang ◽  
Yi Luo ◽  
Deze Xu ◽  
Lanzhi Li ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Association Analysis ◽  
Genome Wide Association Study ◽  
Flag Leaf ◽  
Genome Wide Association ◽  
Lodging Resistance ◽  
Leaf Type ◽  
Stem Strength ◽  
Genome Wide

Lodging reduces rice yield, but increasing lodging resistance (LR) usually limits yield potential. Stem strength and leaf type are major traits related to LR and yield, respectively. Hence, understanding the genetic basis of stem strength and leaf type is of help to reduce lodging and increase yield in LR breeding. Here, we carried out an association analysis to identify quantitative trait locus (QTLs) affecting stem strength-related traits (internode length/IL, stem wall thickness/SWT, stem outer diameter/SOD, and stem inner diameter/SID) and leaf type-associated traits (Flag leaf length/FLL, Flag leaf angle/FLA, Flag leaf width/FLW, leaf-rolling/LFR and SPAD/Soil, and plant analyzer development) using a diverse panel of 550 accessions and evaluated over two years. Genome-wide association study (GWAS) using 4,076,837 high-quality single-nucleotide polymorphisms (SNPs) identified 89 QTLs for the nine traits. Next, through “gene-based association analysis, haplotype analysis, and functional annotation”, the scope was narrowed down step by step. Finally, we identified 21 candidate genes in 9 important QTLs that included four reported genes (TUT1, OsCCC1, CFL1, and ACL-D), and seventeen novel candidate genes. Introgression of alleles, which are beneficial for both stem strength and leaf type, or pyramiding stem strength alleles and leaf type alleles, can be employed for LR breeding. All in all, the experimental data and the identified candidate genes in this study provide a useful reference for the genetic improvement of rice LR.

Sign in / Sign up

Export Citation Format

Share Document