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{{More citations needed|date=February 2008}}
The '''Human Genome Diversity Project''' ('''HGDP''') was started by [[Stanford University]]'s [[Morrison Institute]] and a collaboration of scientists around the world.
{{Use dmy dates|date=June 2020}}
The HGDP is in no way related to the [[Human Genome Project]], and has attempted to maintain a completely distinct identity. Unlike the latter, which has attempted to map the entire [[human genome]], the HGDP has attempted to map the [[DNA]] that varies between humans, which is a less than 1 % difference.
The '''Human Genome Diversity Project''' ('''HGDP''') was started by [[Stanford University]]'s Morrison Institute in 1990s along with collaboration of scientists around the world.<ref>{{Cite web|url=https://www.the-scientist.com/news/proposed-human-genome-diversity-project-still-plagued-by-controversy-and-questions-57807|title=Proposed Human Genome Diversity Project Still Plagued By Controversy And Questions|website=The Scientist Magazine®|language=en|access-date=2019-09-11}}</ref> It is the result of many years of work by [[Cavalli-Sforza|Luigi Cavalli-Sforza]], one of the most cited scientists in the world, who 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 [[Genetic disorder|heritable disease]] research.<ref>{{cite journal |pmid=11954565 |year=2002 |last1=Cann |first1=HM |last2=De Toma |first2=C |last3=Cazes |first3=L |last4=Legrand |first4=MF |last5=Morel |first5=V |last6=Piouffre |first6=L |last7=Bodmer |first7=J |last8=Bodmer |first8=WF |last9=Bonne-Tamir |first9=B |last10=Cambon-Thomsen |first10=A |last11=Chen |first11=Z |last12=Chu |first12=J |last13=Carcassi |first13=C |last14=Contu |first14=L |last15=Du |first15=R |last16=Excoffier |first16=L |last17=Ferrara |first17=G. B. |last18=Friedlaender |first18=J. S. |last19=Groot |first19=H |last20=Gurwitz |first20=D |last21=Jenkins |first21=T |last22=Herrera |first22=R. J. |last23=Huang |first23=X |last24=Kidd |first24=J |last25=Kidd |first25=K. K. |last26=Langaney |first26=A |last27=Lin |first27=A. A. |last28=Mehdi |first28=S. Q. |last29=Parham |first29=P |last30=Piazza |first30=A |title=A human genome diversity cell line panel |volume=296 |issue=5566 |pages=261–2 |doi=10.1126/science.296.5566.261b |journal=Science|s2cid=41595131 |display-authors=8 }}</ref><ref>{{cite journal |pages=1100–4 |doi=10.1126/science.1153717 |title=Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation |year=2008 |last1=Li |first1=J. Z. |last2=Absher |first2=D. M. |last3=Tang |first3=H. |last4=Southwick |first4=A. M. |last5=Casto |first5=A. M. |last6=Ramachandran |first6=S. |last7=Cann |first7=H. M. |last8=Barsh |first8=G. S. |last9=Feldman |first9=M. |last10=Cavalli-Sforza |first10=L. L. |last11=Myers |first11=R. M. |journal=Science |volume=319 |issue=5866 |pmid=18292342|display-authors=8 |bibcode=2008Sci...319.1100L |s2cid=53541133 }}</ref>


The project has noted the need to record the genetic profiles of indigenous populations, as isolated populations are the best way to understand the genetic frequencies that have clues into our distant past. Knowing about the relationship between such populations makes it possible to infer the journey of humankind from the humans who left Africa and populated the world to the humans of today. 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 [[Fondation Jean Dausset-CEPH]] in Paris.
==Potential benefits==
Members of the HGDP have maintained that diversity research could yield new data on various fields of study ranging from [[Clinical surveillance|disease surveillance]] to [[anthropology]]. The Morrison Institute has maintained that diversity research could create definitive proof of the origin of individual [[Ethnic group|racial groups]].


The HGDP is not related to the [[Human Genome Project|Human Genome Project (HGP)]] and has attempted to maintain a distinct identity.<ref>{{Cite web|url=https://www.verslo.is/home/Raungreinar/lif/Itarefni/Liftaekni/Human%20genome%20diversity%20project(e).htm#Q3|title=HGDP FAQ|website=www.verslo.is|access-date=2017-10-07}}</ref> The whole genome sequencing and analysis of the HGDP was published in 2020, creating a comprehensive resource of genetic variation from underrepresented human populations and illuminating patterns of genetic variation, demographic history and introgression of modern humans with Neanderthals and Denisovans.<ref>{{Cite journal|last1=Bergström|first1=Anders|last2=McCarthy|first2=Shane A.|last3=Hui|first3=Ruoyun|last4=Almarri|first4=Mohamed A.|last5=Ayub|first5=Qasim|last6=Danecek|first6=Petr|last7=Chen|first7=Yuan|last8=Felkel|first8=Sabine|last9=Hallast|first9=Pille|last10=Kamm|first10=Jack|last11=Blanché|first11=Hélène|date=2020-03-20|title=Insights into human genetic variation and population history from 929 diverse genomes|journal=Science|language=en|volume=367|issue=6484|pages=eaay5012|doi=10.1126/science.aay5012|issn=0036-8075|pmid=32193295|pmc=7115999}}</ref><ref>{{Cite journal|last1=Almarri|first1=Mohamed A.|last2=Bergström|first2=Anders|last3=Prado-Martinez|first3=Javier|last4=Yang|first4=Fengtang|last5=Fu|first5=Beiyuan|last6=Dunham|first6=Alistair S.|last7=Chen|first7=Yuan|last8=Hurles|first8=Matthew E.|last9=Tyler-Smith|first9=Chris|last10=Xue|first10=Yali|date=2020-07-09|title=Population Structure, Stratification, and Introgression of Human Structural Variation|journal=Cell|language=en|volume=182|issue=1|pages=189–199.e15|doi=10.1016/j.cell.2020.05.024|pmid=32531199|pmc=7369638|issn=0092-8674|doi-access=free}}</ref>
Another potential gain lies in research on human [[Trait (biological)|traits]]. For example, through diversity research one can identify the causes of a long or short nose and how such characteristics relate to [[Ethnic group|racial groups]] and finally how individual racial characteristics are part of a pattern of [[Human development (biology)|human development]]. The HGDP has maintained that research needs to be conducted as quickly as possible before small native populations in places like [[South America]] become extinct. HGDP scientists have argued that if we are to ever gain a full assessment of [[Human development (biology)|human development]], we must engage in diversity research immediately.


==Studied populations==
Finally, one last benefit is [[Medical research|disease research]]. Diversity research could unlock secrets behind the vulnerability of racial groups to certain diseases and how populations have adapted to these vulnerabilities (see [[race in biomedicine]]). The HGDP could help medical researchers create strategies to deal with these issues.
The HGDP includes the 51 populations from around the world.<ref name="pmid18292342">{{cite journal|vauthors=Li JZ, Absher DM, Tang H, Southwick AM, Casto AM, Ramachandran S, etal| title=Worldwide human relationships inferred from genome-wide patterns of variation. | journal=Science | year= 2008 | volume= 319 | issue= 5866 | pages= 1100–4 | pmid=18292342 | doi=10.1126/science.1153717 | url=https://pubmed.ncbi.nlm.nih.gov/18292342 | bibcode=2008Sci...319.1100L | s2cid=53541133 }}</ref>
A description of the populations that were studied can be found in a 2005 review paper by Cavalli-Sforza:<ref>{{cite journal |pages=333–40 |doi=10.1038/nrg1596 |title=Opinion: The Human Genome Diversity Project: past, present and future |year=2005 |last1=Cavalli-Sforza |first1=L. Luca |journal=Nature Reviews Genetics |volume=6 |issue=4 |pmid=15803201|s2cid=37122309 }}</ref>
[[File:Worldwide human populations - frappe results.png|thumb|Genetic clustering of all 51 HGDP populations.<ref name="pmid19924308">{{cite journal|vauthors=López Herráez D, Bauchet M, Tang K, Theunert C, Pugach I, Li J, etal| title=Genetic variation and recent positive selection in worldwide human populations: evidence from nearly 1 million SNPs. | journal=PLOS ONE | year= 2009 | volume= 4 | issue= 11 | pages= e7888 | pmid=19924308 | doi=10.1371/journal.pone.0007888 | pmc=2775638 | bibcode=2009PLoSO...4.7888L | doi-access=free }}</ref> Analysis results are mapped onto the source location of the each sample.]]
{| class="wikitable"
! colspan=2 | [[Africa]]
| [[Bantu people|Bantu]], [[Aka people|Biaka]], [[Mandinka people|Mandenka]], [[Mbuti people|Mbuti pygmy]], [[Mozabite people|Mozabite]], [[San people|San]], and [[Yoruba people|Yoruba]]
|-
! rowspan=3 | [[Asia]]
! [[Western Asia]]
| [[Bedouin]], [[Druze]], and [[Palestinian people|Palestinian]]
|-
! [[Central Asia|Central]] & [[South Asia]]
| [[Baloch people|Balochi]], [[Brahui people|Brahui]], [[Burusho people|Burusho]], [[Hazara people|Hazara]], [[Kalash people|Kalash]], [[Siddi|Makrani]], [[Pashtun people|Pashtun]], [[Sindhi people|Sindhi]], and [[Uyghur people|Uyghur]]
|-
![[Eastern Asia]]
| [[Khmer people|Khmer]], [[Dai people|Dai]], [[Daur people|Daur]], [[Han Chinese|Han]] (North China), [[Han Chinese|Han]] (South China), [[Hezhen]], [[Japanese people|Japanese]], [[Lahu people|Lahu]], [[Miao people|Miao]], [[Mongols|Mongola]], [[Naxi people|Naxi]], [[Oroqen people|Oroqen]], [[She people|She]], [[Tu people|Tu]], [[Tujia people|Tujia]], [[Xibe people|Xibo]], [[Yakuts|Yakut]], [[Yi people|Yi]]
|-
! colspan=2 | [[Native America]]
| [[Colombian people|Colombian]], [[Karitiâna people|Karitiana]], [[Maya peoples|Maya]], [[Pima people|Pima]], [[Surui people|Surui]]
|-
! colspan=2 | [[Europe]]
| [[Republic of Adygea|Adygei]], [[Basque people|Basque]], [[French people|French]], [[Italian people|North Italian]], [[Orcadian]], [[Russians|Russian]], [[Sardinian people|Sardinian]], and [[Tuscany|Tuscan]]
|-
! colspan=2 | [[Oceania]]
| [[Melanesians|Melanesian]], and [[Papuan peoples|Papuan]]
|}


==Current status==
==Informed consent==


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:
Despite reports that the HGDP halted and that protests from organizations like The ETC Group and other [[NGO]]s drained support for the HGDP, including Stanford University's Morrison Institute shutting down all research, and that the HGDP is over and will never be completed in its current form, research ''did'' continue. The [[Archaeological Institute of America]] (''Archaeology'', May/June 2006, Volume 59, Number 3, page 48) reports on a representative world distribution of [[gene]]tic ancestry, 52 distinct genetic markers, concluded by HGDP research:
* 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".<ref>{{cite journal |pmid=12627556 |year=1997 |last1=Weiss |first1=KM |last2=Cavalli-Sforza |first2=LL |last3=Dunston |first3=GM |last4=Feldman |first4=M |last5=Greely |first5=HT |last6=Kidd |first6=KK |last7=King |first7=M |last8=Moore |first8=JA |last9=Szathmary |first9=E |last10=Twinn |first10=C. M. |title=Proposed model ethical protocol for collecting DNA samples |volume=33 |issue=5 |pages=1431–74 |journal=Houston Law Review|display-authors=8 |author11=North American Regional Committee of the Human Genome Diversity Project }}</ref>
<TABLE BORDER="0" CELLSPACING="3" CELLPADDING="3" ALIGN="CENTER">
<TR><TD>'''[[Africa]]'''</TD><TD>&nbsp;'''[[Asia]]'''</TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;'''[[Europe]]'''</TD></TR>
<TR><TD>[[Bantu]]</TD><TD>&nbsp;'''Ctrl/South'''</TD><TD>'''Eastern Asia'''</TD><TD>&nbsp;</TD><TD>&nbsp;[[Adygei]]</TD></TR>
<TR><TD>[[Kwomtari-Baibai languages|Biaka]]</TD><TD>&nbsp;[[Baloch|Balochi]]</TD><TD>[[Cambodian]]</TD><TD>[[Inner Mongolia|Mongola]] &nbsp;</TD><TD>&nbsp;[[Basque people|Basque]]</TD></TR>
<TR><TD>[[Senegal|Mandenka]]</TD><TD>&nbsp;[[Brahui people|Brahui]]</TD><TD>[[Dai people|Dai]]</TD><TD>[[Naxi]]</TD><TD>&nbsp;[[French people|French]]</TD></TR>
<TR><TD>[[Mbuti|Mbuti pygmy]]</TD><TD>&nbsp;[[Burusho]]</TD><TD>[[Daur]]</TD><TD>[[Oroqen]]</TD><TD>&nbsp;[[Northern Italy|North Italian]]</TD></TR>
<TR><TD>[[Mozabite]]</TD><TD>&nbsp;[[Hazara]]</TD><TD>[[Han Chinese|Han]] (N. [[China]])</TD><TD>[[She people|She]]</TD><TD>&nbsp;[[Orcadian]]</TD></TR>
<TR><TD>[[Bushmen|San]]</TD><TD>&nbsp;[[Kalasha|Kalash]]</TD><TD>[[Han Chinese|Han]] (S. [[China]])</TD><TD>[[Tu people|Tu]]</TD><TD>&nbsp;[[Russians|Russian]]</TD></TR>
<TR><TD>[[Yoruba people|Yoruba]]</TD><TD>&nbsp;[[Baloch|Makrani]]</TD><TD>[[Hezhen]]</TD><TD>[[Tujia]]</TD><TD>&nbsp;[[Sardinia]]n</TD></TR>
<TR><TD>&nbsp;</TD><TD>&nbsp;[[Pathan]]</TD><TD>[[Japanese people|Japanese]]</TD><TD>[[Xibe|Xibo]]</TD><TD>&nbsp;[[Tuscany|Tuscan]]</TD></TR>
<TR><TD>&nbsp;</TD><TD>&nbsp;[[Sindhi people|Sindhi]]</TD><TD>[[Lahu people|Lahu]]</TD><TD>[[Yakut]]</TD><TD>&nbsp;</TD></TR>
<TR><TD>'''[[Indigenous peoples of the Americas|Native America]]'''&nbsp;</TD><TD>&nbsp;[[Uygur]]</TD><TD>[[Hmong people|Miao]]</TD><TD>[[Yi people|Yi]]</TD><TD>&nbsp;</TD></TR>
<TR><TD>[[Colombian]]</TD><TD>&nbsp;&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;'''[[Oceania]]'''</TD></TR>
<TR><TD>[[Brazil|Karitiana]]</TD><TD>&nbsp;'''Western Asia'''</TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;[[Melanesian]]</TD></TR>
<TR><TD>[[Maya peoples|Maya]]</TD><TD>&nbsp;[[Bedouin]]</TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;[[Papuan]]</TD></TR>
<TR><TD>[[Pima]]</TD><TD>&nbsp;[[Druze]]</TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;</TD></TR>
<TR><TD>[[Rondônia|Surui]]</TD><TD>&nbsp></TD><TD>&nbsp;</TD><TD>&nbsp;</TD><TD>&nbsp;</TD></TR>
</TABLE>


==Potential benefits==
==Alternative approaches==


The scientific community has used the HGDP data to study human migration, mutation rates, relationships between different populations, genes involved in height, and selective pressure. HGDP has been instrumental in assessing human diversity and in providing information about similarities and differences in human populations. The HGDP is the project with the largest scope among the various human diversity databases available.
In [[1995]], the [[United States National Research Council|National Research Council]] (NRC) issued its recommendations on the subject. While the NRC endorsed the concept of diversity research, it criticized the HGDP's procedure. The NRC claimed that the HGDP had too many ethical lapses and problems. The NRC report suggested several 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 below (regarding racism, weapons development, etc.), it would also prevent researchers from achieving many of the benefits that were to be gained from the project.


So far 148 papers have been published using the HGDP database. Authors using HGDP data work in the US, Russia, Brazil, Ireland, Portugal, France, and other countries.
Some members of the [[Human Genome Project|Human Genome Project (HGP)]] had argued in favor of engaging in diversity research on data gleaned from the [[Human Genome Project]]. Most agreed that if diversity research was to happen, it should only be in conjunction with the HGP and not as a separate project.


More specifically, HGDP data has been used in studies of evolution and expansion of modern human populations.<ref>{{cite journal |pages=1171–86 |doi=10.1086/375120 |title=Features of Evolution and Expansion of Modern Humans, Inferred from Genomewide Microsatellite Markers |year=2003 |last1=Zhivotovsky |first1=Lev A. |last2=Rosenberg |first2=Noah A. |last3=Feldman |first3=Marcus W. |journal=The American Journal of Human Genetics |volume=72 |issue=5 |pmid=12690579 |pmc=1180270}}</ref>
A number of the principal collaborators with the HGDP have been involved in the privately-funded [[The Genographic Project|Genographic Project]] launched in [[April 2005]] with similar aims.

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

To gain a full assessment of [[Human development (biology)|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 [[Medical research|disease research]]. Diversity research could help explain why certain [[ethnic]] populations are vulnerable to or resistant to certain diseases and how populations have adapted to 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|Human Genome Project (HGP)]] was completed. Projects similar to HGDP are the 1000 Genomes Project and the HapMap Project. Each has its own specificities and each has been used by scientists to a large extent for overlapping purposes.


==Potential problems==
==Potential problems==
{{More citations needed section|date=August 2012}}
Denouncing the project since its outset, some [[indigenous communities]], [[NGO]]s, and [[human rights organizations]] have objected to the HGDP's goals based on perceived issues of [[scientific racism]], [[colonialism]], biocolonialism, and [[informed consent]].{{Citation needed|date=August 2012}}


===Racism===
=== Racism ===
The [[ETC Group (AGETC)|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|date=August 2012}} One major concern with the research project has been the potential, in certain countries, for [[racism]] resulting from use of HGDP data. Critics 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's right(s) based on lack of conformity to a certain race's genetic model.


=== Uneven application ===
One major concern with the research project has been the potential for [[racism]] in certain countries resulting from HGDP data. Some have speculated that when governments are armed with genetic data linked to certain racial groups, they could feel the need to deny people rights based on this 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."
Eight of nine DNA groups under Ctrl/South category belong to Pakistan even though India is in the same group with about seven times the population of Pakistan and with far more numerous racial diversities. 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.<ref>{{cite journal |doi=10.1371/journal.pgen.0020215 |title=Low Levels of Genetic Divergence across Geographically and Linguistically Diverse Populations from India |year=2006 |last1=Rosenberg |first1=Noah A. |last2=Mahajan |first2=Saurabh |last3=Gonzalez-Quevedo |first3=Catalina |last4=Blum |first4=Michael G. B. |last5=Nino-Rosales |first5=Laura |last6=Ninis |first6=Vasiliki |last7=Das |first7=Parimal |last8=Hegde |first8=Madhuri |last9=Molinari |first9=Laura |last10=Zapata |first10=Gladys |last11=Weber |first11=James L. |last12=Belmont |first12=John W. |last13=Patel |first13=Pragna I. |journal=PLOS Genetics |volume=2 |issue=12 |pages=e215 |pmid=17194221 |pmc=1713257|display-authors=8 |doi-access=free }}</ref>


=== Use of genetic data for non-medical purposes ===
The [[ETC Group]] (formerly RAFI) has been a major critic of the HGDP citing issues of racism and stigmatization that could occur should the HGDP be completed.
Use of HGDP genetic materials for nonmedical purposes not agreed to by indigenous donors, especially purposes that create possibilities for human rights violations, has been a matter of concern.{{Citation needed|date=August 2011}} For example, Kidd et al. described the use of DNA samples from indigenous populations to explore a forensic identification capability based on ethnic origins.<ref>{{cite journal |doi=10.1016/j.forsciint.2005.11.017 |title=Developing a SNP panel for forensic identification of individuals |year=2006 |last1=Kidd |first1=Kenneth K. |last2=Pakstis |first2=Andrew J. |last3=Speed |first3=William C. |last4=Grigorenko |first4=Elena L. |last5=Kajuna |first5=Sylvester L.B. |last6=Karoma |first6=Nganyirwa J. |last7=Kungulilo |first7=Selemani |last8=Kim |first8=Jong-Jin |last9=Lu |first9=Ru-Band |last10=Odunsi |first10=Adekunle |last11=Okonofua |first11=Friday |last12=Parnas |first12=Josef |last13=Schulz |first13=Leslie O. |last14=Zhukova |first14=Olga V. |last15=Kidd |first15=Judith R. |journal=Forensic Science International |volume=164 |pages=20–32 |pmid=16360294 |issue=1|display-authors=8 }}</ref>


===Creating artificial genetic distinctions===
===Biological weapons===
Anthropologist [[Jonathan M. Marks]] stated: "As any anthropologist knows, ethnic groups are categories of human invention, not given by nature."<ref name="marks">{{cite book |last=Marks |first=Jonathan |year=2002 |title=What it means to be 98% chimpanzee |pages=[https://archive.org/details/whatitmeanstobe90000mark/page/202 202–7] |location=Berkeley |publisher=University of California Press |isbn=978-0-520-22615-9 |url=https://archive.org/details/whatitmeanstobe90000mark/page/202 }}</ref> 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."<ref name="marks" />


==Alternative approaches==
Another concern with the HGDP has been the threat of racially targeted [[biological weapons]] from the project. Since the project will identify genes that tend to conform to specific racial groups, many have theorized that groups could create [[biological weapons]] that could target specific racial groups. Should the HGDP uncover specific diseases that tend to affect certain races, it is conceivable that a groups could develop a biological weapon that targets that certain disease and killing that specific racial group only. While most have called these ideas ridiculous, many concede that such weapons are theoretically possible and could have a dire impact.
In 1995, the [[United States National Research Council|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 keeping sample sources anonymous (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.), they 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|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.
===Criticism===


A number of the principal collaborators in the HGDP have been involved in the privately funded [[Genographic Project]] launched in April 2005 with similar aims.
8 of 9 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.

==References==
{{reflist}}


==External links==
==External links==
{{Commons category|Human Genome Diversity Project}}
*[http://www.stanford.edu/group/morrinst/hgdp.html Morrison Institute]
* [https://morrisoninstitute.stanford.edu/ Morrison Institute]
*[http://www.etcgroup.org ETC Group]
*[http://www.nas.edu/nrc/ National Research Council]
* [http://www.cephb.fr/en/hgdp_panel.php Fondation Jean Dausset-CEPH]
* [http://www.etcgroup.org ETC Group]
*[http://personal.uncc.edu/jmarks/hgdp/hgdp1.html A critical page about the HGDP] from physical anthropologist [[Jonathan Marks]]
*[http://www.wired.com/wired/archive/5.07/updata.html The Human Genome Controversy]
* [http://www.nas.edu/nrc/ National Research Council]
* [https://web.archive.org/web/20050403194453/http://personal.uncc.edu/jmarks/hgdp/hgdp1.html A critical page about the HGDP] from physical anthropologist [[Jonathan Marks (anthropologist)|Jonathan Marks]]
*Not to be confused with [http://home.ncifcrf.gov/ccr/lgd/ National Cancer Institute, Laboratory of Genomic Diversity]
* [https://www.wired.com/wired/archive/5.07/updata.html The Human Genome Controversy]
* Not to be confused with [https://web.archive.org/web/20070415002152/http://home.ncifcrf.gov/ccr/lgd/ National Cancer Institute, Laboratory of Genomic Diversity]

{{Personal genomics}}


[[Category:Population genetics]]
[[Category:Human population genetics]]
[[Category:Genome projects]]
[[Category:Human genome projects]]
[[Category:Population genetics organizations]]

Latest revision as of 19:31, 10 December 2023

The Human Genome Diversity Project (HGDP) was started by Stanford University's Morrison Institute in 1990s along with collaboration of scientists around the world.[1] It is the result of many years of work by Luigi Cavalli-Sforza, one of the most cited scientists in the world, who 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.[2][3]

The project has noted the need to record the genetic profiles of indigenous populations, as isolated populations are the best way to understand the genetic frequencies that have clues into our distant past. Knowing about the relationship between such populations makes it possible to infer the journey of humankind from the humans who left Africa and populated the world to the humans of today. 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 Fondation Jean Dausset-CEPH in Paris.

The HGDP is not related to the Human Genome Project (HGP) and has attempted to maintain a distinct identity.[4] The whole genome sequencing and analysis of the HGDP was published in 2020, creating a comprehensive resource of genetic variation from underrepresented human populations and illuminating patterns of genetic variation, demographic history and introgression of modern humans with Neanderthals and Denisovans.[5][6]

Studied populations[edit]

The HGDP includes the 51 populations from around the world.[7] A description of the populations that were studied can be found in a 2005 review paper by Cavalli-Sforza:[8]

Genetic clustering of all 51 HGDP populations.[9] Analysis results are mapped onto the source location of the each sample.
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, Mongola, 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".[10]

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, and selective pressure. HGDP has been instrumental in assessing human diversity and in providing information about similarities and differences in human populations. The HGDP is the project with the largest scope among the various human diversity databases available.

So far 148 papers have been published using the HGDP database. Authors using HGDP data work in the US, Russia, Brazil, Ireland, Portugal, France, and other countries.

More specifically, HGDP data has been used in studies of evolution and expansion of modern human populations.[11]

Diversity research is relevant in various fields of study ranging from disease surveillance to anthropology. Genomewide-association studies (GWAS) try to associate a genetic mutation with a disease; it is becoming clear that these associations are population-dependent and that understanding human diversity will be a major step toward increasing the power to find genes associated 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 to or resistant to certain diseases and how populations have adapted to 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 (HGP) was completed. Projects similar to HGDP are the 1000 Genomes Project and the HapMap Project. Each has its own specificities and each has been used by scientists to a large extent for 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, and informed consent.[citation needed]

Racism[edit]

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 has been the potential, in certain countries, for racism resulting from use of HGDP data. Critics 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's right(s) based on lack of conformity to a certain race's genetic model.

Uneven application[edit]

Eight of nine DNA groups under Ctrl/South category belong to Pakistan even though India is in the same group with about seven times the population of Pakistan and with far more numerous racial diversities. 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.[12]

Use of genetic data for non-medical purposes[edit]

Use of HGDP genetic materials for nonmedical purposes not agreed to by indigenous donors, especially purposes that create possibilities for human rights violations, has been a matter of concern.[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.[13]

Creating artificial genetic distinctions[edit]

Anthropologist Jonathan M. Marks stated: "As any anthropologist knows, ethnic groups are categories of human invention, not given by nature."[14] 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."[14]

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 keeping sample sources anonymous (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.), they 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 in the HGDP have been involved in the privately funded Genographic Project launched in April 2005 with similar aims.

References[edit]

  1. ^ "Proposed Human Genome Diversity Project Still Plagued By Controversy And Questions". The Scientist Magazine®. Retrieved 11 September 2019.
  2. ^ 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. S2CID 41595131.
  3. ^ 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. Bibcode:2008Sci...319.1100L. doi:10.1126/science.1153717. PMID 18292342. S2CID 53541133.
  4. ^ "HGDP FAQ". www.verslo.is. Retrieved 7 October 2017.
  5. ^ Bergström, Anders; McCarthy, Shane A.; Hui, Ruoyun; Almarri, Mohamed A.; Ayub, Qasim; Danecek, Petr; Chen, Yuan; Felkel, Sabine; Hallast, Pille; Kamm, Jack; Blanché, Hélène (20 March 2020). "Insights into human genetic variation and population history from 929 diverse genomes". Science. 367 (6484): eaay5012. doi:10.1126/science.aay5012. ISSN 0036-8075. PMC 7115999. PMID 32193295.
  6. ^ Almarri, Mohamed A.; Bergström, Anders; Prado-Martinez, Javier; Yang, Fengtang; Fu, Beiyuan; Dunham, Alistair S.; Chen, Yuan; Hurles, Matthew E.; Tyler-Smith, Chris; Xue, Yali (9 July 2020). "Population Structure, Stratification, and Introgression of Human Structural Variation". Cell. 182 (1): 189–199.e15. doi:10.1016/j.cell.2020.05.024. ISSN 0092-8674. PMC 7369638. PMID 32531199.
  7. ^ Li JZ, Absher DM, Tang H, Southwick AM, Casto AM, Ramachandran S, et al. (2008). "Worldwide human relationships inferred from genome-wide patterns of variation". Science. 319 (5866): 1100–4. Bibcode:2008Sci...319.1100L. doi:10.1126/science.1153717. PMID 18292342. S2CID 53541133.
  8. ^ 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. S2CID 37122309.
  9. ^ López Herráez D, Bauchet M, Tang K, Theunert C, Pugach I, Li J, et al. (2009). "Genetic variation and recent positive selection in worldwide human populations: evidence from nearly 1 million SNPs". PLOS ONE. 4 (11): e7888. Bibcode:2009PLoSO...4.7888L. doi:10.1371/journal.pone.0007888. PMC 2775638. PMID 19924308.
  10. ^ 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.
  11. ^ 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.
  12. ^ 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. 2 (12): e215. doi:10.1371/journal.pgen.0020215. PMC 1713257. PMID 17194221.
  13. ^ 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.
  14. ^ a b Marks, Jonathan (2002). What it means to be 98% chimpanzee. Berkeley: University of California Press. pp. 202–7. ISBN 978-0-520-22615-9.

External links[edit]