TY - JOUR
T1 - Recombination networks as genetic markers in a human variation study of the Old World
AU - Javed, Asif
AU - Melé, Marta
AU - Pybus, Marc
AU - Zalloua, Pierre
AU - Haber, Marc
AU - Comas, David
AU - Netea, Mihai G.
AU - Balanovsky, Oleg
AU - Balanovska, Elena
AU - Jin, Li
AU - Yang, Yajun
AU - Kumar, Ganesh Prasad Arun
AU - Pitchappan, Ramasamy
AU - Bertranpetit, Jaume
AU - Calafell, Francesc
AU - Parida, Laxmi
N1 - Funding Information:
Acknowledgments This research is part of the Genographic Project, funded by National Geographic and IBM. Additional funding was provided by the Spanish Ministry of Science and Innovation projects BFU2007-63657, BFU2007-63171, and BFU2010-19443; MM was supported by grant AP2006-03268, Generalitat de Catalu-nya; OB was supported by Russian Foundation for Basic Research (grants 10-06-00451, 10-04-01603) and by the Presidium RAS Programme ‘‘Molecular and Cell Biology’’. We are grateful to Mònica Vallés, UPF, for excellent technical support. Genotyping and bioin-formatic services were provided respectively by CEGEN (Centro Nacional de Genotipado) and INB (National Bioinformatics Insitute), Spain. HapMap phase III population samples were obtained from the Coriell Cell Repository.
PY - 2012/4
Y1 - 2012/4
N2 - We have analyzed human genetic diversity in 33 Old World populations including 23 populations obtained through Genographic Project studies. A set of 1,536 SNPs in five X chromosome regions were genotyped in 1,288 individuals (mostly males). We use a novel analysis employing subARG network construction with recombining chromosomal segments. Here, a subARG is constructed independently for each of five gene-free regions across the X chromosome, and the results are aggregated across them. For PCA, MDS and ancestry inference with STRUCTURE, the subARG is processed to obtain feature vectors of samples and pairwise distances between samples. The observed population structure, estimated from the five short X chromosomal segments, supports genome-wide frequency-based analyses: African populations show higher genetic diversity, and the general trend of shared variation is seen across the globe from Africa through Middle East, Europe, Central Asia, Southeast Asia, and East Asia in broad patterns. The recombinational analysis was also compared with established methods based on SNPs and haplotypes. For haplotypes, we also employed a fixed-length approach based on information-content optimization. Our recombinational analysis suggested a southern migration route out of Africa, and it also supports a single, rapid human expansion from Africa to East Asia through South Asia.
AB - We have analyzed human genetic diversity in 33 Old World populations including 23 populations obtained through Genographic Project studies. A set of 1,536 SNPs in five X chromosome regions were genotyped in 1,288 individuals (mostly males). We use a novel analysis employing subARG network construction with recombining chromosomal segments. Here, a subARG is constructed independently for each of five gene-free regions across the X chromosome, and the results are aggregated across them. For PCA, MDS and ancestry inference with STRUCTURE, the subARG is processed to obtain feature vectors of samples and pairwise distances between samples. The observed population structure, estimated from the five short X chromosomal segments, supports genome-wide frequency-based analyses: African populations show higher genetic diversity, and the general trend of shared variation is seen across the globe from Africa through Middle East, Europe, Central Asia, Southeast Asia, and East Asia in broad patterns. The recombinational analysis was also compared with established methods based on SNPs and haplotypes. For haplotypes, we also employed a fixed-length approach based on information-content optimization. Our recombinational analysis suggested a southern migration route out of Africa, and it also supports a single, rapid human expansion from Africa to East Asia through South Asia.
UR - https://www.scopus.com/pages/publications/84860862630
U2 - 10.1007/s00439-011-1104-8
DO - 10.1007/s00439-011-1104-8
M3 - Article
C2 - 22006219
AN - SCOPUS:84860862630
SN - 0340-6717
VL - 131
SP - 601
EP - 613
JO - Human Genetics
JF - Human Genetics
IS - 4
ER -