1.Relationship between genetic polymorphisms of 3 SNP loci in 5-HTT gene and paranoid schizophrenia.
Jin-Feng XUAN ; Mei DING ; Hao PANG ; Jia-Xin XING ; Yi-Hua SUN ; Jun YAO ; Yi ZHAO ; Chun-Mei LI ; Bao-Jie WANG
Journal of Forensic Medicine 2012;28(6):418-421
OBJECTIVE:
To investigate the population genetic data of 3 SNP loci (rs25533, rs34388196 and rs1042173) of 5-hydroxytryptamine transporter (5-HTT) gene and the association with paranoid schizophrenia.
METHODS:
Three SNP loci of 5-HTT gene were examined in 132 paranoid schizophrenia patients and 150 unrelated healthy individuals of Northern Chinese Han population by PCR-RFLP technique. The Hardy-Weinberg equilibrium test was performed using the chi-square test and the data of haplotype frequency and population genetics parameters were statistically analyzed.
RESULTS:
Among these three SNP loci, four haplotypes were obtained. There were no statistically significant differences between the patient group and the control group (P > 0.05). The DP values of the 3 SNP loci were 0.276, 0.502 and 0.502. The PIC of them were 0.151, 0.281 and 0.281. The PE of them were 0.014, 0.072 and 0.072.
CONCLUSION
The three SNP loci and four haplotypes of 5-HTT gene have no association with paranoid schizophrenia, while the polymorphism still have high potential application in forensic practice.
Adult
;
Asian People/genetics*
;
Case-Control Studies
;
Female
;
Gene Frequency
;
Genetic Predisposition to Disease
;
Genotype
;
Haplotypes
;
Humans
;
Male
;
Polymerase Chain Reaction/methods*
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Polymorphism, Single Nucleotide/genetics*
;
Schizophrenia, Paranoid/genetics*
;
Serotonin Plasma Membrane Transport Proteins/genetics*
2.Genetic polymorphisms of four SNP loci in D5 gene of dopamine receptor in Northern Chinese Han population.
Yi ZHAO ; Mei DING ; Hao PANG ; Jia-Xin XING ; Jin-Feng XUAN ; Jun YAO ; Yi-Hua SUN ; Bao-Jie WANG
Journal of Forensic Medicine 2013;29(1):37-48
OBJECTIVE:
To reveal the genetic polymorphisms of four SNP loci (rs77434921, rs2076907, rs6283, rs1800762) in D5 gene of dopamine receptor (DRD5) in Northern Chinese Han population.
METHODS:
Four SNP loci of the DRD5 gene of 206 unrelated individuals in Northern Chinese Han population were separately amplified and sequenced by PCR technique and statistically analyzed by Haploview v4.1 software.
RESULTS:
In Northern Chinese Han population, the genotype frequency distribution of rs77434921, rs2076907, rs6283 and rs1800762 loci in the DRD5 gene were all in accordance with Hardy-Weinberg equilibrium. DP value was 0.145, 0.532, 0.602 and 0.159, while PE value was 0.004, 0.079, 0.196 and 0.007. A linkage disequilibrium among these four SNP loci was also demonstrated, which might infer five haplotypes.
CONCLUSION
rs2076907 and rs6283 loci of DRD5 gene in the Northern Chinese Han population have high genetic polymorphisms, which can be useful for forensic identification of individuals.
Asian People/genetics*
;
China/ethnology*
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DNA Primers/genetics*
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Forensic Genetics
;
Gene Frequency
;
Genetic Markers
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Genotype
;
Haplotypes
;
Humans
;
Linkage Disequilibrium
;
Polymerase Chain Reaction
;
Polymorphism, Single Nucleotide
;
Receptors, Dopamine D5/genetics*
3.Non-targeted metabolomics in septic mice infected with Klebsiella pneumoniae
Jia-xuan ZHANG ; Lang SUN ; Jing PANG ; Xin-xin HU ; Tong-ying NIE ; Xi LU ; Xiu-kun WANG ; Xin-yi YANG ; Xue-fu YOU ; Cong-ran LI
Acta Pharmaceutica Sinica 2018;53(7):1122-1130
UHPLC-QTOF-MS was applied to non-targeted metabolomics study of mice infected with K. pneumoniae ATCC® BAA 2146 to discover potential biomarkers and metabolic pathways that are associated with sepsis. Fifty-eight metabolites were identified by principal components analysis (PCA) and partial least-squares discriminant analysis (OPLS-DA), which was combined with variable projection importance (VIP) and nonparametric test. Eighteen of the 58 metabolites were further found to be involved in 8 metabolic pathways, including nicotinate and nicotinamide metabolism, pyrimidine metabolism, vitamin B6 metabolism, taurine and hypotaurine metabolism, arginine and proline metabolism, alanine, aspartate and glutamate metabolism, D-glutamine and D-glutamate metabolism and glycerophospholipid metabolism.
4.Review of genome-wide association research of aging phenotypes.
Yue Qing WANG ; Meng XIAO ; Hai Ming YANG ; Ming Yu SONG ; Yu Xuan ZHAO ; Yuan Jie PANG ; Wen Jing GAO ; Wei Hua CAO ; Tao HUANG ; Can Qing YU ; Jun LYU ; Li Ming LI ; Dian Jian Yi SUN
Chinese Journal of Epidemiology 2022;43(8):1338-1342
"Active health" has been emphasized in "Healthy China 2030" in dealing with the challenges of population aging, so the anti-aging strategies are requires to be more precise and effective at both individual and population levels. Aging is influenced by both genetic and environmental factors. In the recent 20 years, the research of genetics of human ageing has been greatly facilitated owning to the development of high-throughput sequencing techniques, statistical methodology for multi-omics data, as well as the growing qualified evidence of large-scale population-based genomic research. This paper provides a review of genome-wide association research of aging.
Aging/genetics*
;
Genome-Wide Association Study/methods*
;
Genomics/methods*
;
High-Throughput Nucleotide Sequencing
;
Humans
;
Phenotype
5.EPOSTER • DRUG DISCOVERY AND DEVELOPMENT
Marwan Ibrahim ; Olivier D LaFlamme ; Turgay Akay ; Julia Barczuk ; Wioletta Rozpedek-Kaminska ; Grzegorz Galita ; Natalia Siwecka ; Ireneusz Majsterek ; Sharmni Vishnu K. ; Thin Thin Wi ; Saint Nway Aye ; Arun Kumar ; Grace Devadason ; Fatin Aqilah Binti Ishak ; Goh Jia Shen ; Dhaniya A/P Subramaniam ; Hiew Ke Wei ; Hong Yan Ren ; Sivalingam Nalliah ; Nikitha Lalindri Mareena Senaratne ; Chong Chun Wie ; Divya Gopinath ; Pang Yi Xuan ; Mohamed Ismath Fathima Fahumida ; Muhammad Imran Bin Al Nazir Hussain ; Nethmi Thathsarani Jayathilake ; Sujata Khobragade ; Htoo Htoo Kyaw Soe ; Soe Moe ; Mila Nu Nu Htay ; Rosamund Koo ; Tan Wai Yee ; Wong Zi Qin ; Lau Kai Yee ; Ali Haider Mohammed ; Ali Blebil ; Juman Dujaili ; Alicia Yu Tian Tan ; Cheryl Yan Yen Ng ; Ching Xin Ni ; Michelle Ng Yeen Tan ; Kokila A/P Thiagarajah ; Justin Jing Cherg Chong ; Yong Khai Pang ; Pei Wern Hue ; Raksaini Sivasubramaniam ; Fathimath Hadhima ; Jun Jean Ong ; Matthew Joseph Manavalan ; Reyna Rehan ; Tularama Naidu ; Hansi Amarasinghe ; Minosh Kumar ; Sdney Jia Eer Tew ; Yee Sin Chong ; Yi Ting Sim ; Qi Xuan Ng ; Wei Jin Wong ; Shaun Wen Huey Lee ; Ronald Fook Seng Lee ; Wei Ni Tay ; Yi Tan ; Wai Yew Yang ; Shu Hwa Ong ; Yee Siew Lim ; Siddique Abu Nowajish ; Zobaidul Amin ; Umajeyam Anbarasan ; Lim Kean Ghee ; John Pinto ; Quek Jia Hui ; Ching Xiu Wei ; Dominic Lim Tao Ran ; Philip George ; Chandramani Thuraisingham ; Tan Kok Joon ; Wong Zhi Hang ; Freya Tang Sin Wei ; Ho Ket Li ; Shu Shuen Yee ; Goon Month Lim ; Wen Tien Tan ; Sin Wei Tang
International e-Journal of Science, Medicine and Education 2022;16(Suppl1):21-37