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Studying Genetic Variations Across
the Indian Population

The research: The DNA for 75 genes spread across all
chromosomes, and one 5.2 million bases long segment of chromosome
22 that houses 49 genes were analysed.
Human Genome Organization (HUGO), which turned
20 years of age in 2008, held the Human Genome Meeting (HGM)
at Hyderabad in the last days of September.
Drs Samir Brahmachari of Delhi, Lalji Singh of Hyderabad
and Partha Majumder of Kolkata organized HGM 2008. Attended
by over 1,000 scientists from over 44 countries, HGM 2008
was the forum where new advances in the field of human genetics
were present ed.
Dr Charles Cantor set the mood of the meeting in his plenary
talk where he pointed out how the costs of sequencing the
genome have plummeted; he suggests that within the next decade,
the cost of sequencing an entire human genome would be no
more than a few thousand rupees.
Dramatic drop in cost
To get a feel of this, recall that it cost Rs.12,000 crores
to do this five years ago. Why do I say this? Because of one
of the programmes led by the three Indian musketeers mentioned
above. They put together a daring programme in 2003 called
the Indian Genome Variation (IGV) consortium.
This aims to obtain genetic information on over 4,000 genetic
markers from a thousand health and illness-related genes from
ethnic and language groups from across the whole of India.
The IGV database or IGVdb was released in part at HGM 2008.
By studying the genetic variations across the vast populations
of India, it aims to address several questions regarding our
health and well being. Are there clusters of populations that
share genetic predispositions towards certain health conditions?
Can the same treatment be given to all people across the country
or should there be group-based calibration?
What is the nature and extent of genetic differentiation
within and between these clusters? These questions are relevant
to India, where people marry and found families and communities
based on language, religion and social practices. IGVdb attempts
to draw a broad canvas of the health map across India, using
DNA-based markers.
Some health conditions depend on what is writ in a single
gene. Sequencing the gene and finding errors in it allows
us to understand the basis of the condition. But many health
conditions depend on more than one gene and are thus complex.
Sequencing many of the genes is a harder task. But there is
a short cut.
Any two unrelated people share 99.5 per cent of the DNA sequences
of the chromosomes in their genomes. But one may have the
letter A at a particular site in a chromosome while the other
may have C. Each of these sites is called a single nucleotide
polymorphism, SNP or snip. Each of the two possibilities is
called an allele.
A series of consecutive alleles on a given chromosome is
called a haplotype. In other words, adjacent SNPs that are
inherited together are a haplotype. Thus when we analyze the
SNP variations between individuals and group, we get an idea
of their genetic predispositions. Haplotypes are shared between
populations but their frequencies can vary widely. Thus haplotype
mapping (HapMap) becomes a useful tool to study a group, cluster
or community of people.
And this is done by sequencing the DNA of chosen chromosomes
and doing SNP analysis around chosen genes. Statistical analysis
of the data is then done and the haplotype diversity across
populations analyzed and classified.
IGV chose about 2,000 people from across India, collected
as groups of people from the same ethnic and linguistic groups
from six geographic habitats and sociocultural strata (large
population, caste based, isolated population, tribes; and
special populations, religious groups). This gave them a set
of 55 representative populations.
Fiftyfive populations
And they analyzed the DNA for 75 genes spread across all
chromosomes, and one 5.2 million bases long segment of chromosome
22 that houses 49 genes. This allowed them to analyze the
nature and variation in the 55 populations, based on 405 SNPs.
How can we use IGVdb? IGVdb is an attempt at the genetic
census of India. It would help us address questions of the
type posed above, and answer them with a greater degree of
certainty and confidence. For more details, please go to www.igvdb.res.in.
Source: The Hindu
Date: October 02, 2008

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