Identification of point mutation in Exon 2 of MBL1 gene and its relationship with Somatic Cell Score (SCS) in Sahiwal cattle

2017 ◽  
Author(s):  
Kamaldeep Kamaldeep ◽  
Ankit Magotra ◽  
B. L. Pander ◽  
Manjeet Manjeet ◽  
B. S. Malik ◽  
...  
Keyword(s):  
Sample Size ◽  
Somatic Cell ◽  
Point Mutation ◽  
Small Sample Size ◽  
Small Sample ◽  
Somatic Cell Score ◽  
Large Sample Size ◽  
Production Traits ◽  
Exon 2 ◽  
Pcr Rflp

Mannose-binding lectin (MBL) is one of the most important constituent and a pattern recognition molecule of the innate immune system. MBL gene possibly contributes to bacterial infection resistance and was proposed as a molecular marker for milk production traits to control mastitis. Due to its location near to QTLs associated with Somatic cell score (SCS) and mastitis , the MBL1 gene may be considered as a candidate gene. Sahiwal cows in milk were selected randomly to identify g.2686T>C point mutation in exon 2 of MBL1 gene and its association with somatic cell score. A 401 bp PCR fragment of MBL1 gene encompassing the exon 2 was amplified and digested with Hae III to screen the reported SNP. Genotype analysis using PCR-RFLP revealed a polymorphic banding pattern. Sequencing was also carried out to validate the PCR-RFLP results of nucleotide sequence in a particular region. The preliminary information obtained from the study indicated that the targeted variantof MBL1 gene in indigenous cattle had no association with SCS and mastitis resistance which may be a breed specific characteristic. Since present study has formulated the results based on a relatively small sample size, further studies with large sample size are required to validate these results.

Identification of Point Mutation in Exon 3 of Leptin Gene in Munjal Sheep

2021 ◽  
Author(s):  
Sandeep Kumar ◽  
S.P. Dahiya ◽  
Ankit Magotra ◽  
Yogesh C. Bangar ◽  
Asha Rani Garg
Keyword(s):  
Point Mutation ◽  
Small Sample Size ◽  
Genomic Region ◽  
Vital Role ◽  
Small Sample ◽  
Resource Population ◽  
Candidate Mutation ◽  
Body Development ◽  
Pcr Rflp ◽  
Pcr Products

Background: Leptin is a varied hormone which plays vital role in body development by regulating the balance between food intake and energy expenditure by signaling to the brain. Leptin has diverse effect on controlling appetite, energy metabolism, growth, reproduction, body composition and immunity. The present study was aimed to screen candidate point mutation (g.332G greater than A) in the targeted genomic region of leptin gene in Munjal sheep. Methods: A total of 50 Munjal sheep were selected and genomic DNA was isolated in Automated Maxell RSC DNA/ RNA purification system by using Maxwell RSC whole blood DNA kit. Reported set of primers was used to amplify 463bp fragment encompassing targeted region (exon 3) of leptin gene. PCR-RFLP was performed to genotype targeted point mutation in our resource population. PCR products were digested by Cail 1 restriction enzyme to genotype g.332G greater than A (at 332th nucleotide of exon 3 leptin gene) non-synonymous mutation (Arg to Gln). Result: All studied samples resolved into monomorphic banding pattern, revealed only AA (463bp single band bp) genotype. The absence of candidate mutation in our resource population might be due to small sample size.

scholarly journals Evaluation of Frequency of PGC1-α and CKMM Genes Polymorphisms Among Iranian Elite Hockey Athletes

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Maryam Valipour ◽  
Parvaneh Azarali ◽  
Rostam Alizadeh
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Sample Size ◽  
Dna Extraction ◽  
Gene Polymorphisms ◽  
Small Sample Size ◽  
Small Sample ◽  
Complex Phenotype ◽  
Genotype Frequencies ◽  
Pcr Rflp

Background: Physical activity is a complex phenotype influenced by millions of genes and environmental factors. It is well known that physical performance and sports ability are linked to genes variations. Objectives: The aim of this study was to evaluate the frequency of PGC1-α and CKMM gene polymorphisms in elite hockey athletes. Methods: Fifty Iranian elite national hockey athletes and 100 non-athletes participated in this study. To determine the genotypes of PGC1-α and CKMM gene polymorphisms, 2 ml of saliva was sampled and used for DNA extraction. To determine the genotypes, the PCR-RFLP method was employed. After examining the variants, the allele and genotype frequencies of subjects were measured. Results: The results showed no significant differences for the PPARGC1A gene in the percentage of AA, GG, and AG genotypes. Similarly, the percentage of these genotypes of the CKMM gene did not differ significantly between athletes and non-athletes. Conclusions: The results suggest that the gene polymorphisms of PGC1-α and CKMM are the same between the Iranian elite hockey athletes and non-athletes, which may be due to the overlapping effect of other genes and/or the small sample size of the study.

scholarly journals Acupuncture for Chronic Pain-Related Insomnia: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Fushui Liu ◽  
Jianyu You ◽  
Qi Li ◽  
Ting Fang ◽  
Mei Chen ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Sample Size ◽  
Small Sample Size ◽  
Meta Analysis ◽  
Sham Acupuncture ◽  
Small Sample ◽  
Control Group ◽  
Large Sample Size ◽  
Cure Rate ◽  
Significant Difference

Objectives. Acupuncture has been widely used to relieve chronic pain-related insomnia (CPRI). However, the efficacy of acupuncture for CPRI is uncertain. The purpose of this study was to evaluate the efficacy of acupuncture for CPRI. Methods. Seven electronic databases were searched from inception to December 2018. Randomized controlled trials (RCTs) were included if acupuncture was compared to sham acupuncture or conventional drug therapies for treating CPRI. Two reviewers screened each study and extracted data independently. Statistical analyses were conducted by RevMan 5.3 software. Results. A total of nine studies involving 944 patients were enrolled. The pooled analysis indicated that acupuncture treatment was significantly better than control group in improving effective rate (OR = 8.09, 95%CI = [4.75, 13.79], P < 0.00001) and cure rate (OR = 3.17, 95%CI = [2.35, 4.29], P < 0.00001), but subgroup analysis showed that there was no statistically significant difference between acupuncture and sham acupuncture in improving cure rate (OR =10.36, 95% CI [0.53, 201.45], P=0.12) based on one included study. In addition, meta-analysis demonstrated that acupuncture group was superior to control group in debasing PSQI score (MD = -2.65, 95%CI = [-4.00, -1.30], P = 0.0001) and VAS score (MD = -1.44, 95%CI = [-1.58, -1.29], P < 0.00001). And there was no significant difference in adverse events (OR =1.73, 95%CI = [0.92, 3.25], P =0.09) between the two groups. Conclusions. Acupuncture therapy is an effective and safe treatment for CPRI, and this treatment can be recommended for the management of patients with CPRI. Due to the low quality and small sample size of the included studies, more rigorously designed RCTs with high quality and large sample size are recommended in future.

scholarly journals Gender Wise Distribution of Income Using L-Moments Method

2019 ◽  
Vol 2 (1) ◽  
pp. 29
Author(s):  
Muhammad Alam ◽  
Saeed Ullah Jan ◽  
Alam Zeb
Keyword(s):  
Income Distribution ◽  
Sample Size ◽  
Small Sample Size ◽  
Small Sample ◽  
Parameters Estimation ◽  
Large Sample Size ◽  
Unknown Parameters ◽  
Moments Method ◽  
L Moments ◽  
Distribution Of Income

<em>The main purpose of this work is to explore the income distribution of both male and female in Pakistan over the period of 2010-2011. For this purpose, the lognormal distribution with known parameters is used as a model and its unknown parameters are estimated by three methods that are likelihood, moments and L-moments. The results show that citizens of Pakistan are not equal in income and the probability plot suggested that the income of the male is greater than that of a female in Pakistan. Moreover, for small sample size, the best method of parameters estimation is the L-moments, while, for large sample size the best method is a maximum likelihood. Findings of the study suggest that suitable policy is required to maintain equality in income distribution in the country. It will consequently reduce the gap among rich and poor and will certainly improve social welfare.</em>

scholarly journals Risk Assessment of Intermittent and Continuous Nasogastric Enteral Feeding Methods in Adult Inpatients: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Guang Yang ◽  
Bojun Zheng ◽  
Yi Yu
Keyword(s):  
Sample Size ◽  
Group Size ◽  
Enteral Feeding ◽  
Small Sample Size ◽  
Meta Analysis ◽  
Small Sample ◽  
Size Group ◽  
Large Sample Size ◽  
Increased Risk ◽  
Feeding Methods

Diarrhea and pneumonia are common and serious complications in hospitalized patients requiring nasogastric enteral feeding. Our study aimed to compare the risk of diarrhea and pneumonia between intermittent nasogastric enteral feeding (IEF) and continuous nasogastric enteral feeding (CEF). We systematically searched PubMed, Web of Science, and Cochrane for relevant articles published from August 9, 1992, to September 1, 2019. A total of 637 IEF and CEF patients were included in our meta-analysis. Odds ratios (ORs) with associated 95% confidence intervals (CIs) were calculated to estimate the effects of diarrhea and pneumonia. We showed that hospital patients that required IEF had an increased risk of diarrhea compared with CEF. In the subgroup analyses, similar conclusions were identified in the non-China group and small sample size group (size < 100). However, our results showed no significant differences in the China group or large sample size group (size ≥ 100). Furthermore, our analysis showed that no significant association was observed for the risk of pneumonia between IEF and CEF patients. For inpatients requiring nasogastric enteral feeding, CEF is a better method of enteral nutrition compared with IEF, of which patients experience a significantly increased risk of diarrhea.

Socially responsible investment sukuk (Islamic bond) development in Malaysia

2020 ◽  
Vol 12 (4) ◽  
pp. 599-619
Author(s):  
Mahfuzur Rahman ◽  
Che Ruhana Isa ◽  
Ginanjar Dewandaru ◽  
Mohamed Hisham Hanifa ◽  
Nazreen T. Chowdhury ◽  
...  
Keyword(s):  
Sample Size ◽  
Small Sample Size ◽  
Socially Responsible Investment ◽  
Small Sample ◽  
Future Research ◽  
Large Sample Size ◽  
Structured Interviews ◽  
Socially Responsible ◽  
Content Type ◽  
Responsible Investment

Purpose This study aims to explore the underlying issues related to the development of socially responsible investment (SRI) sukuk in Malaysia. It identifies factors attracting investors and issuers, as well as challenges for the development of SRI sukuk (Islamic bond) in Malaysia. Design/methodology/approach This study conducted semi-structured interviews to collect data from the institutional investors, SRI sukuk issuers and arrangers, as well as researchers. A total of 19 experts were approached in which 10 participated in the interview. The thematic analysis technique is used to report the findings. Findings This study uncovers that social contribution through business activities (i.e. investment in the education sector) is the key motivational drivers for the investors and issuers. Besides, investment risks, lack of performance measurement standards, high transaction costs, risks of return, shortage of enough Islamic bonds, investors’ confidence and lack of awareness are the major challenges for the development of SRI sukuk instruments. Research limitations/implications Due to the challenges in finding experts on this subject matter, this study was able to manage only 10 interviews from the participants, which is a small sample size. However, the findings of this study cannot be ignored. Future research should carry out with a large sample size (i.e. at least 30 interviews) to validate the current findings. Originality/value This study is among the pioneer in Malaysia, which explores the influencing factors of selecting Islamic bonds as an investment option. This paper provides some valuable implications for investors through discovering the challenges for the growth of SRI sukuk in Malaysia, which can also be applicable in a global setting.

scholarly journals Meta-Analysis and Forest Plots for Sustainability of Heavy Load Carrier Equipment Used in the Industrial Mining Environment

2021 ◽  
Vol 13 (15) ◽  
pp. 8672
Author(s):  
Somnath Chattopadhyaya ◽  
Brajeshkumar Kishorilal Dinkar ◽  
Alok Kumar Mukhopadhyay ◽  
Shubham Sharma ◽  
José Machado
Keyword(s):  
Sample Size ◽  
Reliability Analysis ◽  
Small Sample Size ◽  
Meta Analysis ◽  
Small Sample ◽  
Forest Plot ◽  
Large Sample Size ◽  
Heavy Load ◽  
Combining Data ◽  
Load Carrier

It is a common recommendation not to attempt a reliability analysis with a small sample size. However, this is feasible after considering certain statistical methods. One such method is meta-analysis, which can be considered to assess the effectiveness of a small sample size by combining data from different studies. The method explores the presence of heterogeneity and the robustness of the fresh large sample size using sensitivity analysis. The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore. A meta-analysis is carried out on field-based small-sample data for the reliability of different subsystems of the engine. The level of heterogeneity is calculated for each subsystem, which is further verified by constructing a forest plot. The level of heterogeneity was 0 for four subsystems and 2.23% for the air supply subsystem, which is very low. The result of the forest plot shows that all the plotted points mostly lie either on the center line (line of no effect) or very close to it, for all five subsystems. Hence, it was found that the grouping of an extremely small number of failure data is possible. By using this grouped TBF data, reliability analysis could be very easily carried out.

scholarly journals Cephalometric Norms Among Qatari Females

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Hayder Abdallah Hashim ◽  
Najah AL-Sayed ◽  
Ayah AL-Qaisi
Keyword(s):  
Sample Size ◽  
Small Sample Size ◽  
Small Sample ◽  
Large Sample Size ◽  
Mean Values ◽  
Nasolabial Angle ◽  
Vertical Relationship ◽  
Oral And Maxillofacial Surgeon ◽  
Age Range ◽  
Lower Incisors

Aims: The aims of this study were to introduce cephalometric norms for Qatari females and compare the result with previous published reports. Material and method: The sample consisted of 57 cephalographs with age range 18 to 25 years old. All subjects satisfied the criteria of selection. Cephalometric measurements of Qatari females were then compared with Eastman Standard norms and Arabs studies as well as reports conducted among Oriental and Black races. Results: The result indicates that Qatari females presented with higher mean values of sagittal and vertical relationship compared to Caucasian cephalometric norms. In terms of dental variables proclined upper and lower incisors in relation to their dental bases, and a reduction in inter-incisal angle. The soft tissue variables indicate that the lips were slightly protrusive in relation to Rickett’s esthetic line, and the nasolabial angle was less obtuse. The bimaxillary proclination and protrusion of the upper and lower incisors were existed in all Arab populations as well as in Black and Oriental races whereas the Caucasian had retrusive dentition. Conclusion: Due to limitation of the present study, it is difficult to draw a solid conclusion due to small sample size.  Hence, large sample size is recommended for both sexes in order to establish cephalometric norms which will be of great help not only to the orthodontist but also to the oral and maxillofacial surgeon as well as the pedodontist.

Uncertainty Evaluation Study of CMM Dynamic Measurement Based on Quasi Monte Carlo Method

2011 ◽  
Vol 103 ◽  
pp. 366-371 ◽  
Author(s):  
Wei Hong Zhong ◽  
Xiu Shui Ma ◽  
Ying Dao Li ◽  
Yuan Li
Keyword(s):  
Monte Carlo ◽  
Sample Size ◽  
Small Sample Size ◽  
Dynamic Measurement ◽  
Small Sample ◽  
Uncertainty Evaluation ◽  
Effective Diameter ◽  
Large Sample Size ◽  
Quasi Monte Carlo ◽  
Measuring Machine

In a contact measurement process, the coordinate measuring machine（CMM）probe will bring dynamic measurement error, therefore, dynamic calibration of the probe tip effective diameter should to be done at different probing speeds, and calibration uncertainty should to be given. There are some problems, slow convergence and unstable, using Monte Carlo (MC) method in uncertainty. In this paper, Quasi Monte Carlo (QMC) method is presented in the probe tip effective diameter uncertainty evaluation. At a certain positioning speed and distance approximation, probe tip effective diameter experimental tests are done with changing probing speeds. MC and QMC methods are used on uncertainty evaluation respectively, and the results are compared and analyzed. The simulation shows that QMC can be used on dynamic uncertainty evaluation of CMM probe tip. Compared with MC, QMC obtains a better stability and precision in small sample size and gains higher computing speed in large sample size.显示对应的拉丁字符的拼音 字典名词 assessment动词 assessevaluatepass judgment

scholarly journals Sample Size Calculation in Medical Research: A Primer

2021 ◽  
Author(s):  
Jaykaran Charan ◽  
Rimplejeet Kaur ◽  
Pankaj Bhardwaj ◽  
Kuldeep Singh ◽  
Sneha R. Ambwani ◽  
...  
Keyword(s):  
Sample Size ◽  
Small Sample Size ◽  
Research Question ◽  
Sample Size Calculation ◽  
Small Sample ◽  
Large Sample Size ◽  
Error Type ◽  
Type 1 Error ◽  
Size Type ◽  
Study Designs

AbstractQuality of research is determined by many factors and one such climacteric factor is sample size. Inability to use correct sample size in study might lead to fallacious results in the form of rejection of true findings or approval of false results. Too large sample size is wastage of resources and use of too small sample size might fail to answer the research question or provide imprecise results and may question the validity of study. Despite being such a paramount aspect of research, the knowledge about sample size calculation is sparse among researchers. Why is it important to calculate sample size; when to calculate it; how to calculate it and what details about sample size calculation should be reported in research protocols or articles; are the lesser known basics to majority of researchers. The present review is directed to address these aforementioned fundamentals about sample size. Sample size should be calculated during the initial phase of planning of study. Several components are required for sample size calculation such as effect size, type-1 error, type-2 error, and variance. Researchers must be aware that there are different formulas for calculating sample size for different types of study designs. The researcher must include details about sample size calculation in the methodology section, so that it can be justified and it also adds to the transparency of the study. The literature about calculation of sample size for different study designs is scattered over many textbooks and journals. Scrupulous literature search was conducted to find the passable information for this review. This paper presents the sample size calculation formulas in a single review in a simplified manner with relevant examples, so that researchers may adequately use them in their research.

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