A number of loci related to the immune response are located on human chromosomal region 5q31-33, and polymorphisms in this region have been reported to be associated with autoimmune and infectious diseases. In Southeast Asian populations, no systematic survey with dense SNP markers has been performed for the 5q31-33 region. In this study, the LD and haplotype structures for a 472-kb region on 5q31 were investigated in a Thai population to provide useful information for association studies. In addition, the LD structure in Thais was compared with that of the CHB and JPT HapMap populations (CHB + JPT) to evaluate the transferability of tagging SNPs from CHB + JPT for Thais. We show that the minor allele frequency, pattern of LD block, and genetic structure in the 5q31-33 region were highly concordant between Thais and CHB + JPT. A high transferability of tagging SNPs from CHB + JPT for Thais was observed. Our results suggest that tagging SNPs from CHB + JPT (Northeast Asians) can efficiently capture common variants in Southeast Asians, and that the HapMap data are useful for association studies in Southeast Asian populations.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10038-008-0309-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A study of genetic variants associated with skin traits in the Vietnamese population.
BMC Genomics
January 2024
Hi-Tech Center and Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, Vietnam.
Article Synopsis
- The study addresses the lack of research on skin-related genetic traits in underrepresented populations, specifically focusing on the Vietnamese population.
- Researchers developed a computational method to analyze genetic factors affecting 25 skin traits using both public and local Vietnamese genetic data.
- Findings showed that Vietnamese skin genetics are closely related to East Asian cohorts, revealing co-occurring traits like skin aging and collagen issues, contributing to a broader understanding of genetic diversity in skin health.
Analysis of the Batch Effect Due to Sequencing Center in Population Statistics Quantifying Rare Events in the 1000 Genomes Project.
Genes (Basel)
December 2021
Population Genomics, CNAG-CRG, Centre for Genomic Regulation, 08028 Barcelona, Spain.
The 1000 Genomes Project (1000G) is one of the most popular whole genome sequencing datasets used in different genomics fields and has boosting our knowledge in medical and population genomics, among other fields. Recent studies have reported the presence of ghost mutation signals in the 1000G. Furthermore, studies have shown that these mutations can influence the outcomes of follow-up studies based on the genetic variation of 1000G, such as single nucleotide variants (SNV) imputation.
View Article and Find Full Text PDFGenetic Polymorphisms of Very Important Pharmacogene Variants in the Blang Population from Yunnan Province in China.
Pharmgenomics Pers Med
December 2021
Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, 712082, Shaanxi, People's Republic of China.
Article Synopsis
- The study aimed to enhance the understanding of pharmacogenomics in the Blang population (BP) from Yunnan Province, China, by examining important genetic variants related to drug response.
- Researchers genotyped 55 pharmacogene variants and compared the genotype distributions among the BP and 26 other populations, finding notable differences in genetic diversity, especially with certain SNPs (single-nucleotide polymorphisms).
- The findings could help inform safer and more effective personalized medication strategies for the Blang population.
AI-SNPs screening based on the whole genome data and research on genetic structure differences of subcontinent populations.
Yi Chuan
October 2021
West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
The genetic structure differences in population is one of the key elements in medical research involving multi-population samples. A set of ancestry-informative single nucleotide polymorphisms (AI-SNPs) can be utilized to analyze genetic component of a population, infer ancestral origin of individuals and pre-filter samples to reduce the impact of population genetic structure differences on medical research. However, most of the published studies were focused on revealing the differences between populations of continents or regions of a continent.
View Article and Find Full Text PDFAnalysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population.
Pharmgenomics Pers Med
October 2021
Department of Blood Transfusion, First People's Hospital of Yunnan, Kunming City, 650021, Yunnan Province, People's Republic of China.
Background: Genetic polymorphism, obviously, has a potential clinical role in determining differences in drug efficacy; however, there are no reports about the pharmacogenomic information of the Lahu population. Therefore, our research aimed to screen the genotypic frequencies of the very important pharmacogenomics (VIP) mutations and determined the differences between Lahu and the other 11 populations.
Methods: Agena MassARRAY (AgenaMassARRAY) single nucleotide polymorphism (SNP) genotyping technique was used to detect 81 VIP mutations of pharmacogenomics genes in Lahu, and their genotypic frequencies were compared with the other major 11 populations.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!