deCODE Study Reveals an Ancient Achilles Heel in the Human Genome

"This is an important new chapter in our ongoing work to understand the mechanisms driving genomic diversity and through that the evolution of our species," said Kari Stefansson , CEO of deCODE and senior author on the paper. " or new mutations provide an important part of the substrate for evolution, launching a constant flow of new versions of the human genome into the environment. However, they are also believed to be responsible for the majority of cases of rare diseases of childhood. Providing a comprehensive catalogue of such mutations from across an entire population is therefore not just scientifically interesting but also an important contribution to improving rare disease diagnostics."

Today's study shows that in about 10% of the genome, the mutations coming from the mother equal in number the ones coming from the father. Most of the maternally derived mutations in these regions are C-to-G (C>G) mutations and are rooted in flaws in the repair of double-strand breaks. The density of C>G SNPs in this 10% of the genome is also very high, with considerable variability in the frequency of the less common allele. This indicates that these regions of the genome have been vulnerable to double-strand breaks for a very long time. These same regions of the genome also show a high density of C>G SNPs in chimpanzees, less so in gorillas, and not at all in orangutans.

"The frequency of mutations in this 10% of the genome is almost twice that in the rest of the genome. By definition the attributes conferred on us by genes in this region must evolve faster than other attributes," Dr Stefansson added.

This study leverages deCODE's unique genetics resources in Iceland to build upon earlier results linking parental age and sex to variability in recombination and various types of mutation. mutations are so called because they are generated during the formation of eggs and sperm, they can be passed to offspring but are not seen in the parents. The deCODE team was able to develop such a large dataset and catalogue of these mutations correlating whole-genome sequence data from thousands of individuals and multiple generations of families with information on the age of parents at the time their children were born.

(NASDAQ:AMGN).

Contact:
Jon Gustafsson
deCODE genetics
jon@decode.com
+354-664-1905

Edward Farmer
for deCODE genetics
efarmer@wuxinextcode.com
+1-781-775-6206