Pathway and Network Analysis of Schizophrenia Candidate Genes under Meta-Analysis Linkage Peaks

2009 ◽  
Author(s):  
Peilin Jia ◽  
Jingchun Sun ◽  
Leng Han ◽  
Zhongming Zhao
Keyword(s):  
Network Analysis ◽  
Candidate Genes ◽  
Meta Analysis

scholarly journals A meta-analysis of genome-wide association studies for average daily gain and lean meat percentage in two Duroc pig populations

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Shenping Zhou ◽  
Rongrong Ding ◽  
Fanming Meng ◽  
Xingwang Wang ◽  
Zhanwei Zhuang ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Growth And Development ◽  
Genetic Architecture ◽  
Association Studies ◽  
Meta Analysis ◽  
Average Daily Gain ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Daily Gain

Abstract Background Average daily gain (ADG) and lean meat percentage (LMP) are the main production performance indicators of pigs. Nevertheless, the genetic architecture of ADG and LMP is still elusive. Here, we conducted genome-wide association studies (GWAS) and meta-analysis for ADG and LMP in 3770 American and 2090 Canadian Duroc pigs. Results In the American Duroc pigs, one novel pleiotropic quantitative trait locus (QTL) on Sus scrofa chromosome 1 (SSC1) was identified to be associated with ADG and LMP, which spans 2.53 Mb (from 159.66 to 162.19 Mb). In the Canadian Duroc pigs, two novel QTLs on SSC1 were detected for LMP, which were situated in 3.86 Mb (from 157.99 to 161.85 Mb) and 555 kb (from 37.63 to 38.19 Mb) regions. The meta-analysis identified ten and 20 additional SNPs for ADG and LMP, respectively. Finally, four genes (PHLPP1, STC1, DYRK1B, and PIK3C2A) were detected to be associated with ADG and/or LMP. Further bioinformatics analysis showed that the candidate genes for ADG are mainly involved in bone growth and development, whereas the candidate genes for LMP mainly participated in adipose tissue and muscle tissue growth and development. Conclusions We performed GWAS and meta-analysis for ADG and LMP based on a large sample size consisting of two Duroc pig populations. One pleiotropic QTL that shared a 2.19 Mb haplotype block from 159.66 to 161.85 Mb on SSC1 was found to affect ADG and LMP in the two Duroc pig populations. Furthermore, the combination of single-population and meta-analysis of GWAS improved the efficiency of detecting additional SNPs for the analyzed traits. Our results provide new insights into the genetic architecture of ADG and LMP traits in pigs. Moreover, some significant SNPs associated with ADG and/or LMP in this study may be useful for marker-assisted selection in pig breeding.

Associations Between Obesity and Alzheimer’s Disease: Multiple Bioinformatic Analyses

2021 ◽  
pp. 1-11
Author(s):  
Qi-Shuai Zhuang ◽  
Lei Meng ◽  
Zhe Wang ◽  
Liang Shen ◽  
Hong-Fang Ji
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Network Analysis ◽  
Drug Targets ◽  
Protective Factor ◽  
Genetic Locus ◽  
Meta Analysis ◽  
Current Evidence ◽  
Causal Association ◽  
Ppi Network

Background: Identifying modifiable risk factors, such as obesity, to lower the prevalence of Alzheimer’s disease (AD) has gained much interest. However, whether the association is causal remains to be evaluated. Objective: The present study was designed: 1) to make a quantitative assessment of the association between obesity and AD; 2) to validate whether there was a causal association between them; and 3) to provide genetic clues for the association through a network-based analysis. Methods: Two-sample Mendelian randomization (2SMR) analysis, meta-analysis, and protein-protein interaction (PPI) network analysis, were employed. Results: Firstly, the meta-analysis based on 9 studies comprising 6,986,436 subjects indicated that midlife obesity had 33%higher AD odds than controls (OR = 1.33, 95%CI = [1.03, 1.62]), while late-life obesity were inversely associated with AD risk (OR = 0.57, 95%CI = [0.47, 0.68]). Secondly, 2SMR analysis indicated that there was no causal association between them. Thirdly, CARTPT was identified to be shared by the anti-obesity drug targets and AD susceptibility genes. Further PPI network analysis found that CARTPT interacted with CD33, a strong genetic locus linked to AD. Finally, 2SMR analysis showed that CNR1 could be a protective factor for AD. Conclusion: Multiple bioinformatic analyses indicated that midlife obesity might increase the risk of AD, while current evidence indicated that there was no causal association between them. Further, CARTPT might be an important factor linking the two disease conditions. It could help to better understand the mechanisms underlying the associations between obesity and AD.

scholarly journals Indirubin attenuates mouse psoriasis-like skin lesion in a CD274-dependent manner: an achievement of RNA sequencing

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Xiaochun Xue ◽  
Jianhua Wu ◽  
Junhui Li ◽  
Jianguo Xu ◽  
Haiying Dai ◽  
...  
Keyword(s):  
Network Analysis ◽  
Skin Lesion ◽  
Candidate Genes ◽  
Rna Sequencing ◽  
Molecular Mechanisms ◽  
Regulatory Mechanisms ◽  
Epidermal Keratinocytes ◽  
Dependent Manner ◽  
Human Epidermal Keratinocytes ◽  
Ifn Γ

It was previously reported that the expression of CD274 was down-regulated in psoriatic epidermis, leading to immune disorders of psoriasis. However, the regulatory mechanisms of CD274 were rarely elucidated. We aimed to explore the regulatory mechanisms of CD274. Skin samples were collected from 18 patients with psoriasis vulgaris and 9 healthy participants for RNA sequencing. Candidate genes were chosen based on degree and k-core difference of genes in the co-expression network. The relations between candidate genes and CD274 were validated by flow cytometry and real-time PCR in primary human epidermal keratinocytes. The therapeutic effect of indirubin was assessed in an imiquimod-treated mouse model. Interferon-γ (IFN-γ), cyclin-dependent kinase (CDK) 1, Toll-like receptor 3 (TLR3), TLR4 and interleukin (IL)-17A were considered as candidate genes. In primary human epidermal keratinocytes, the level of CD274 was obviously increased under the stimulation of IFN-γ and CDK1 inhibitor (indirubin), independent of TLR4, TLR3 or IL-17A. Indirubin alleviated the severity of psoriatic mice in a CD274-dependent manner. Co-expression network analysis served as an effective method for the exploration of molecular mechanisms. We demonstrated for the first time that CD274 was the regulator of indirubin-mediated effect on mouse psoriasis-like skin lesion based on co-expression network analysis, contributing to the alleviation of mouse psoriasis-like skin lesion.

A molecular systems biomedicine approach to Diabetes: characterization, prioritization and network analysis of new candidate genes from the apoptotic machinery

2010 ◽  
Vol 27 ◽  
pp. S44 ◽  
Author(s):  
D. Barbagallo ◽  
S. Piro ◽  
M. Ragusa ◽  
C. Di Pietro ◽  
F. Purrello ◽  
...  
Keyword(s):  
Network Analysis ◽  
Candidate Genes ◽  
Molecular Systems

scholarly journals Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0249501
Author(s):  
Henry C. Chung ◽  
Don R. Keiller ◽  
Justin D. Roberts ◽  
Dan A. Gordon
Keyword(s):  
Systematic Review ◽  
Candidate Genes ◽  
Meta Analysis ◽  
Anaerobic Power ◽  
Significant Proportion ◽  
Training Group ◽  
Cardiovascular Fitness ◽  
Specific Gene ◽  
Phenotypic Variance ◽  
Three Components

The aim of this systematic review and meta-analysis was to identify a list of common, candidate genes associated with the three components of fitness, specifically cardiovascular fitness, muscular strength, and anaerobic power, and how these genes are associated with exercise response phenotype variability, in previously untrained participants. A total of 3,969 potentially relevant papers were identified and processed for inclusion. After eligibility and study selection assessment, 24 studies were selected for meta-analysis, comprising a total of 3,012 participants (male n = 1,512; females n = 1,239; not stated n = 261; age 28 ± 9 years). Meta-Essentials spreadsheet 1.4 (Microsoft Excel) was used in creating the forest plots and meta-analysis. IBM SPSS statistics V24 was implemented for the statistical analyses and the alpha was set at p ≤ 0.05. 13 candidate genes and their associated alleles were identified, which were associated with the phenotypes of interest. Analysis of training group data showed significant differential phenotypic responses. Subgroup analysis showed; 44%, 72% and 10% of the response variance in aerobic, strength and power phenotypes, respectively, were explained by genetic influences. This analysis established that genetic variability explained a significant proportion of the adaptation differences across the three components of fitness in the participants post-training. The results also showed the importance of analysing and reporting specific gene alleles. Information obtained from these findings has the potential to inform and influence future exercise-related genes and training studies.

scholarly journals Systematic mapping of forensic psychiatry: discovering evolution, trends and current priorities

2019 ◽  
Author(s):  
Kapil K Aedma ◽  
Ahmed Waqas ◽  
Sadiq Naveed ◽  
Hafsa Meraj ◽  
Maryam Tariq
Keyword(s):  
Network Analysis ◽  
Sexual Offenders ◽  
Forensic Psychiatry ◽  
Sex Offender ◽  
Meta Analysis ◽  
Self Control ◽  
Middle Income ◽  
Psychopathy Checklist Revised ◽  
Scant Attention ◽  
Funding Opportunities

The expansion of research in forensic neuropsychiatric practice has led to several developments with an interdisciplinary focus in legal systems and psychiatry around the globe. Given the dearth of scientometric analyses in this area, this article will help increase knowledge of publication trends in law and psychiatry, and will also highlight the scant attention given on forensic psychiatry research in lower- and middle-income countries (LMICs). Web of Science (WoS) Network Analysis Interface for Literature Studies (NAILS) platform software was used to conduct statistical and Social Network Analysis (SNA) of citation records, in order to obtain journal rankings based on citations, popularity, and highly cited keywords. A total of 7184 articles were published through November, 2016 in the journals selected for analysis. These items were cited a total of 44,033 times in 25,286 articles and a total of 36,441 times without self-citations in 22,105 articles. The keywords cited most frequently in these journals were psychopathy, risk assessment, delinquency, recidivism, violence, sex offender, aggression, treatment, assessment, adolescents, offenders, prison, mental illness, homicide, prisoners, gender, rehabilitation, sexual offenders, meta-analysis, self-control, the Hare Psychopathy Checklist Revised, suicide, personality disorder, and forensic psychiatry. None of the most influential articles were published from LMICs, and funding opportunities were poor.

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