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Series GSE74100 Query DataSets for GSE74100
Status Public on Dec 31, 2019
Title Genome-wide Investigation of Population Structure in Myanmar
Organism Homo sapiens
Experiment type SNP genotyping by SNP array
Summary Myanmar locates in the crossroads of South Asia, Southeast Asia, and East Asia, and is known for high culture diversity in different ethnic groups. It is considered to be important for understanding human evolutionary history and genetic diversity in East Eurasia. However, relatively few studies have examined the population structure and demographic history in Myanmar to date. In this study, we analyzed more than 220,000 genome-wide SNPs in 175 new samples of five ethnic groups from Myanmar and compared them with the published data. Our results showed that the Myanmar population is intricately substructured, with the main observed clusters corresponding roughly to western/northern highlanders (Chin, Naga, and Jingpo) and central/southern lowlanders (Bamar and Rakhine). The gene flow inferred from South Asia has a substantial influence (~11%) on the gene pool of central/southern lowlanders rather than western/northern highlanders. The genetic admixture is dated around 650 years ago. These findings suggest that the genome-wide variation in Myanmar was likely shaped by the linguistic, cultural, and historical changes.
 
Overall design To investigate the genetic structure of Myanmer populations, we genotyped 240 samples of four different ethnic groups (i.e. Bamar also Burman, Chin, Naga, and Rakhine) in Myanmar, neighboring Chinese minor ethnic groups (Jingpo), and Africans from Nigeria conducted on Illumina HumanOmniZhongHua-8 BeadChip. Three Africans here were used as out group. Sample type is normal blood. For general population genetics analysis, we filtered out 4 samples for duplication, 2 for wrong gender information, and 56 samples for close genetic relationship (using IBD test). Finally, 175 genetic-independent individuals data were used to reflect the genetic structure of Myanmar.
 
Contributor(s) Peng M, Wang W, Shen Q, He J, Wu S, Zhu C, Murphy RW, Li H, Zhang Y
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Oct 16, 2015
Last update date Jan 01, 2020
Contact name Ya-ping Zhang
E-mail(s) zhangyp@mail.kiz.ac.cn
Phone 86-871-65195430
Organization name Kunming Institute of Zoology, Chinese Academy of Sciences
Department State Key Laboratory of Genetic Resources and Evolution
Street address 32 Jiaochang Donglu
City Kunming
State/province Yunnan
ZIP/Postal code 650223
Country China
 
Platforms (1)
GPL20166 Illumina HumanOmniZhongHua-8 v1.0 Beadchip
Samples (240)
GSM1909884 African from Nigeria 1
GSM1909885 African from Nigeria 2
GSM1909886 African from Nigeria 3
Relations
BioProject PRJNA299109

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE74100_RAW.tar 3.0 Gb (http)(custom) TAR (of IDAT)
GSE74100_kizwangwz-geo_matrx.txt.gz 3.5 Gb (ftp)(http) TXT
GSE74100_kizwangwz-geo_matrx.xy.txt.gz 104.3 Mb (ftp)(http) TXT
Processed data are available on Series record

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