Introduction
A Saraswat Brahmin community from the Kashmir Valley,[3][4] a mountainous region in the Indian state of Jammu and Kashmir. They are the only remaining Hindu community native to the Kashmir Valley. wiki
7000
| Group | Country | Region |
|---|---|---|
| Kashmiri Pandit | India | SouthAsia |
Summary: Genetic affinities of target population in the context of worldwide populations are measured by pairwise FST between target population and references. Smaller FST value indicates closer relationship. Regions represented by different colors are indicated above. Kashmiri Pandit's closest affinity is to popA (FST = valA) and the second closest is to popB (FST = valB).
Summary: Genetic location of target population under global context and regional context is shown by PCA plot. Substructure of the target population (if exists) is revealed by PCA plot. Regions represented by different colors are indicated above each plot.
Summary: Admixture pattern of target population is revealed by ADMIXTURE analysis with references chosen according to publications. Length of each colored bar represents the admixture proportion of representative ancestry in the individual. Choosing “which K” to show admixture pattern of target population under K ancestries.
Summary: Identity by descent of the target population in global context is indicated by number of Runs of Homozygosity (ROH). Higher number of ROH indicates a higher level of identity by descent. Choose “ROH length” to show patterns of different time scales.
| Author | Title | Journal | Year | PMID |
|---|---|---|---|---|
| The 1000 Genomes Project Consortium. | A global reference for human genetic variation. | Nature | 2015 | 26432245 |
| Moorjani et al. | Genetic evidence for recent population mixture in India. | The American Journal of Human Genetics | 2013 | 23932107 |
| Reich et al. | Reconstructing Indian population history. | Nature | 2009 | 19779445 |
Summary: Reference(s) for samples enrolled in this analysis.
CAS-MAP Partner Institute for Computational Blology (PICB). Copyright © 2017. Email: pggadmin@picb.ac.cn
