3 results match your criteria: "TCG-ISI Centre for Population Genomics[Affiliation]"
A novel statistical algorithm for enhancing the utility of HapMap data to design genomic association studies in non-HapMap populations.
Int J Data Min Bioinform
April 2012
TCG-ISI Centre for Population Genomics, Institute of Molecular Medicine, Kolkata, India.
The HapMap database should be effectively used in designing disease association studies in non-HapMap populations. The efficiency of portability of tagSNPs from HapMap to non-HapMap populations is widely variable. A new algorithm is proposed for selecting SNPs from HapMap for use in non-HapMap populations by simultaneously considering and combining data on allele frequencies and linkage-disequilibrium values in the four HapMap populations.
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- This study analyzed genetic diversity in 12 innate immune system genes among 171 individuals from eastern India, revealing a high level of novel DNA variants.
- Almost half of the 548 discovered DNA variants were new, and comparisons with reference sequences indicated signs of natural selection, likely due to the high pathogen exposure in the region.
- The study found significant differences in genetic variation compared to other populations, with innate immunity genes exhibiting a SNP density greater than the highest reported for any autosomal chromosome, highlighting the impact of natural selection on this population.
Portability of tag SNPs across isolated population groups: an example from India.
Ann Hum Genet
January 2008
TCG-ISI Centre for Population Genomics, Bengal Intelligent Park Ltd., Salt Lake Electronics Complex, Kolkata 700091, India.
Isolated population groups are useful in conducting association studies of complex diseases to avoid various pitfalls, including those arising from population stratification. Since DNA resequencing is expensive, it is recommended that genotyping be carried out at tagSNP (tSNP) loci. For this, tSNPs identified in one isolated population need to be used in another.
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