Genome projects 5W1H: What, where, when, why, how and in which population? Genom projeleri 5N1H: Ne, nerede, ne zaman, nasil, neden ve hangi popülasyonda?


Fidanoǧlu P., BELDER N., Erdoǧan B., İLK DAĞ Ö., Rajabli F., ÖZDAĞ SEVGİLİ H.

Turk Hijyen ve Deneysel Biyoloji Dergisi, cilt.71, sa.1, ss.45-60, 2014 (Scopus) identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 71 Sayı: 1
  • Basım Tarihi: 2014
  • Doi Numarası: 10.5505/turkhijyen.2014.14890
  • Dergi Adı: Turk Hijyen ve Deneysel Biyoloji Dergisi
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.45-60
  • Anahtar Kelimeler: Haplotype, HGP, SNP, Variation
  • Ankara Üniversitesi Adresli: Evet

Özet

Genome projects aim to decode an organism's complete set of deoxyribonucleic acid (DNA), which can be described as the living code of organism. The idea of the Human Genome Project (HGP) was conceived in the early 1980s. The project was started at 1990 and finished at 2003. The sequencing of the whole human genome derived from the DNA of several anonymous volunteers, costed 3.8 billion dollars. In order to annotate the genome data, the "topography of the genome" and the anatomy of the genes should have been revealed. For this purpose, genome projects of several model organisms was carried out in parallel with HGP with the aim to identify basic structural components, organizational structure and evolutionarily development of the genome. With the advent of microarray technology in the early 2000s, high-throughput screening of Single Nucleotide Polymorphisms (SNPs) and Copy Number Variations (CNVs) became feasible. After the completion of HGP in 13 years, James D. Watson's genome was sequenced with 1 million dollar budget in just 2 months using next generation sequencing technology. Today a human genome can be sequenced in just one day with the cost of 6.600 USD. In this reviev the HGP which created big expectations especially in medicine will be explained from its start to the present. Then we will summarize the studies paving the road to personalized medicine emphasizing the fact that to reveal the meaning of genomic information, it should become computable.