Human Genome Diversity Project

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The Human Genome Diversity Project (HGDP) was started by Stanford University's Morrison Institute and a collaboration of scientists around the world. It is the result of many years of work by Luigi Cavalli-Sforza, one of the most cited scientists in the world, which has published extensively in the use of genetics to understand human migration and evolution. The HGDP data sets have often been cited in papers on such topics as population genetics, anthropology, and heritable disease research.[1][2]

The project has noted the need to record the genetic profiles of endogenous populations, as isolated populations are the best way to understand the genetic frequencies that have clues into our distant past. The relationship between such populations allow to infer the humankind journey from the initial humans that left Africa and populated the world. The HGDP-CEPH Human Genome Diversity Cell Line Panel, is a resource of 1,063 cultured lymphoblastoid cell lines (LCLs) from 1,050 individuals in 52 world populations, banked at the Foundation Jean Dausset-CEPH in Paris.

The HGDP is not related to the Human Genome Project, and has attempted to maintain a distinct identity.

Studied populations[edit]

A description of the populations that were studied can be found in a review paper by Cavalli-Sforza, in 2005:[3]

Africa Bantu, Biaka, Mandenka, Mbuti pygmy, Mozabite, San, and Yoruba
Asia Western Asia Bedouin, Druze, and Palestinian
Central & South Asia Balochi, Brahui, Burusho, Hazara, Kalash, Makrani, Pashtun, Sindhi, and Uyghur
Eastern Asia Khmer, Dai, Daur, Han (North China), Han (South China), Hezhen, Japanese, Lahu, Miao, Mongolia, Naxi, Oroqen, She, Tu, Tujia, Xibo, Yakut, Yi
Native America Colombian, Karitiana, Maya, Pima, Surui
Europe Adygei, Basque, French, North Italian, Orcadian, Russian, Sardinian, and Tuscan
Oceania Melanesian, and Papuan

Informed consent[edit]

One of the most important tenets of the HGDP debate has been the social and ethical implications for indigenous populations, specifically the methods and ethics of informed consent. Some questions include: How would consent be obtained? Would individuals or groups fully understand the project's intentions, particularly with regards to language barriers and differing cultural views? What is 'informed' in a cross-cultural context? Who would be authorized to actually give consent? How would individuals know what happened to their DNA? For how long would their information be kept in DNA databases? These questions are specifically addressed by the HGDP's "Model Ethical Protocol for Collecting DNA Samples".[4]

Potential benefits[edit]

The scientific community has used the HGDP data to study human migration, mutation rates, relationships between different populations, genes involved in height, selective pressure. HGDP has been instrumental to assess human diversity, and to provide information about similarities and differences in human populations. The HGDP is the project with the largest scope of all the several human diversity databases available.

So far there has been 148 papers published using the HGDP datase. Authors using HGDP data work in the US, Russia, Brasil, Ireland, Portugal, France, and other countries.

More specifically HGDP data has been used in studies in evolution and expansion of modern humans.[5]

Diversity research is relevant in various fields of study ranging from disease surveillance to anthropology. Genome-wide-association studies (GWAS) try to associate a genetic mutation with a disease; it is becoming clear that these associations are population dependent and understanding human diversity will be a major step to increase the power to find associated genes with disease.

To gain a full assessment of human development scientists must engage in diversity research. This research needs to be conducted as quickly as possible before small native populations such as those in South America become extinct.

Another benefit of genomic diversity mapping would be in disease research. Diversity research could help explain why certain ethnic populations are vulnerable or resistant to certain diseases and how populations have adapted to these vulnerabilities (see race in biomedicine).

The study of human populations has been at the forefront of genomic and clinical research since the human genome project was completed. Similar projects to HGDP are the 1000 genomes, and the HapMap project. Each one has its own specificities and has been used to scientists to a large extent in overlapping purposes.

Potential problems[edit]

Denouncing the project since its outset, some indigenous communities, NGOs, and human rights organizations have objected to the HGDP's goals based on perceived issues of scientific racism, colonialism, biocolonialism (patenting), informed consent and the prospect of biological warfare.[citation needed]

Racism The Action Group on Erosion, Technology and Concentration (ETC Group) has been a major critic of the HGDP, speculating that issues of racism and stigmatization could occur should the HGDP be completed.[citation needed] One major concern with the research project that they have put forward has been the potential for racism in certain countries resulting from HGDP data. They feel that when governments are armed with genetic data linked to certain racial groups, those governments might deny human rights based on this genetic data. For example, countries could define races purely in genetic terms and deny a certain person right(s) based on their lack of conformity to a certain race's genetic model.

Uneven Application Eight of nine DNA groups under Ctrl/South category belong to Pakistan even though India is in the same group with about 7 times the population of Pakistan and with racial diversities many times over. However, it is noteworthy that Rosenberg et al. found that the sampled Pakistani populations are more genetically diverse than 15 Indian populations that were explicitly compared[6]

Use of Genetic Data for Non-medical Purposes Use of HGDP genetic materials for non-medical purposes not agreed to by indigenous donors, especially purposes that create possibilities for human rights violations.[citation needed] For example, Kidd et al. described the use of DNA samples from indigenous populations to explore a forensic identification capability based on ethnic origins.[7]

Creating Artificial Genetic Distinctions Anthropologist Jonathan M. Marks has stated that: "As any anthropologist knows, ethnic groups are categories of human invention, not given by nature."[citation needed] Some indigenous peoples have refused to take part in the HGDP due to concerns about misuse of the data: "In December [1993], a World Council of Indigenous Peoples in Guatemala repudiated the HGDP."[8]

Alternative approaches[edit]

In 1995, the National Research Council (NRC) issued its recommendations on the HGDP. The NRC endorsed the concept of diversity research, also pointing out some concerns with the HGDP procedure. The NRC report suggested alternatives such as doing sampling anonymously (i.e., sampling genetic data without tying it to specific racial groups). While such approaches would eliminate the concerns discussed above (regarding racism, weapons development, etc.), it would also prevent researchers from achieving many of the benefits that were to be gained from the project.

Some members of the Human Genome Project (HGP) argued in favor of engaging in diversity research on data gleaned from the Human Genome Diversity Project, although most agreed that diversity research should be done by the HGP and not as a separate project.

A number of the principal collaborators with the HGDP have been involved in the privately funded Genographic Project launched in April 2005 with similar aims.

References[edit]

  1. ^ Cann, HM; De Toma, C; Cazes, L; Legrand, MF; Morel, V; Piouffre, L; Bodmer, J; Bodmer, WF et al. (2002). "A human genome diversity cell line panel". Science 296 (5566): 261–2. doi:10.1126/science.296.5566.261b. PMID 11954565. 
  2. ^ Li, J. Z.; Absher, D. M.; Tang, H.; Southwick, A. M.; Casto, A. M.; Ramachandran, S.; Cann, H. M.; Barsh, G. S. et al. (2008). "Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation". Science 319 (5866): 1100–4. doi:10.1126/science.1153717. PMID 18292342. 
  3. ^ Cavalli-Sforza, L. Luca (2005). "Opinion: The Human Genome Diversity Project: past, present and future". Nature Reviews Genetics 6 (4): 333–40. doi:10.1038/nrg1596. PMID 15803201. 
  4. ^ Weiss, KM; Cavalli-Sforza, LL; Dunston, GM; Feldman, M; Greely, HT; Kidd, KK; King, M; Moore, JA et al. (1997). "Proposed model ethical protocol for collecting DNA samples". Houston law review 33 (5): 1431–74. PMID 12627556. 
  5. ^ Zhivotovsky, Lev A.; Rosenberg, Noah A.; Feldman, Marcus W. (2003). "Features of Evolution and Expansion of Modern Humans, Inferred from Genomewide Microsatellite Markers". The American Journal of Human Genetics 72 (5): 1171–86. doi:10.1086/375120. PMC 1180270. PMID 12690579. 
  6. ^ Rosenberg, Noah A.; Mahajan, Saurabh; Gonzalez-Quevedo, Catalina; Blum, Michael G. B.; Nino-Rosales, Laura; Ninis, Vasiliki; Das, Parimal; Hegde, Madhuri et al. (2006). "Low Levels of Genetic Divergence across Geographically and Linguistically Diverse Populations from India". PLoS Genetics (PLoS Genetics) 2 (12): e215. doi:10.1371/journal.pgen.0020215. PMC 1713257. PMID 17194221. 
  7. ^ Kidd, Kenneth K.; Pakstis, Andrew J.; Speed, William C.; Grigorenko, Elena L.; Kajuna, Sylvester L.B.; Karoma, Nganyirwa J.; Kungulilo, Selemani; Kim, Jong-Jin et al. (2006). "Developing a SNP panel for forensic identification of individuals". Forensic Science International 164 (1): 20–32. doi:10.1016/j.forsciint.2005.11.017. PMID 16360294. 
  8. ^ Marks, Jonathan (2002). What it means to be 98% chimpanzee. Berkeley: University of California Press. pp. 202–7. ISBN 978-0-520-22615-9. 

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