Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics
We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matchin...
Gespeichert in:
| Veröffentlicht in: | PloS one 2015-08, Vol.10 (8), p.e0135960-e0135960 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0135960 |
|---|---|
| container_issue | 8 |
| container_start_page | e0135960 |
| container_title | PloS one |
| container_volume | 10 |
| creator | Hollenbach, Jill A Saperstein, Aliya Albrecht, Mark Vierra-Green, Cynthia Parham, Peter Norman, Paul J Maiers, Martin |
| description | We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matching algorithms for unrelated bone marrow transplant. Multiple dimensions of self-identification, including race/ethnicity and geographic ancestry were compared to classifications based on ancestry informative markers (AIMs), and the human leukocyte antigen (HLA) genes, which are required for transplant matching. Nearly 20% of responses were inconsistent between reporting race/ethnicity versus geographic ancestry. Despite strong concordance between AIMs and HLA, no measure of self-identification shows complete correspondence with genetic ancestry. In certain cases geographic ancestry reporting matches genetic ancestry not reflected in race/ethnicity identification, but in other cases geographic ancestries show little correspondence to genetic measures, with important differences by gender. However, when respondents assign ancestry to grandparents, we observe sub-groups of individuals with well- defined genetic ancestries, including important differences in HLA frequencies, with implications for transplant matching. While we advocate for tailored questioning to improve accuracy of ancestry ascertainment, collection of donor grandparents' information will improve the chances of finding matches for many patients, particularly for mixed-ancestry individuals. |
| doi_str_mv | 10.1371/journal.pone.0135960 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_plos_</sourceid><recordid>TN_cdi_plos_journals_1708567637</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_fa55703ef080463e84006fd128c72b09</doaj_id><sourcerecordid>3793737971</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-d221206be9e754ca8fdd7e977d2d6ba11ddf57aaf52e2d13559ec5812ecdbdd13</originalsourceid><addsrcrecordid>eNptUk1vEzEQXSEQLYV_gMASFw4k2N61vdsDUhTaEqkFBO3ZcuzZxNGuvdgOVf4RPxPno1WLONmaefPmzcwritcEj0kpyMeVXwenuvHgHYwxKVnD8ZPimDQlHXGKy6cP_kfFixhXGLOy5vx5cUQ5rUUp-HHx54fS8AGdpaWz2qYNUs6gidMQU9gg69CNC9CpBAZdB-Xi0CmX0JVKemndArU-oLQE9FUl67OanAnB36LP3uXM9-AXQfWnaIKmvh9UsNE75Ft0te6SHTpA5z70cRv5CV07mhlwybZW79jQrU1LdAEOktXxZfGsVV2EV4f3pLg5P7uefhldfruYTSeXI80oTyNDKaGYz6EBwSqt6tYYAY0Qhho-V4QY0zKhVMsoUJO3xhrQrCYUtJmbHDgp3u55h85HeVhylETgmnHBS5ERsz3CeLWSQ7C9ChvplZW7gA8LqUKW3IFsFWMCl9DiGle8hLrCmLeG0FoLOsdN5vp06Lae92B0nj-o7hHp44yzS7nwv2XFKsZxlQneHwiC_7XOV5O9jRq6fCbw651uJkpMKcvQd_9A_z9dtUfp4GMM0N6LIVhujXdXJbfGkwfj5bI3Dwe5L7pzWvkXYyPZtA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1708567637</pqid></control><display><type>article</type><title>Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Hollenbach, Jill A ; Saperstein, Aliya ; Albrecht, Mark ; Vierra-Green, Cynthia ; Parham, Peter ; Norman, Paul J ; Maiers, Martin</creator><contributor>Mersha, Tesfaye B</contributor><creatorcontrib>Hollenbach, Jill A ; Saperstein, Aliya ; Albrecht, Mark ; Vierra-Green, Cynthia ; Parham, Peter ; Norman, Paul J ; Maiers, Martin ; Mersha, Tesfaye B</creatorcontrib><description>We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matching algorithms for unrelated bone marrow transplant. Multiple dimensions of self-identification, including race/ethnicity and geographic ancestry were compared to classifications based on ancestry informative markers (AIMs), and the human leukocyte antigen (HLA) genes, which are required for transplant matching. Nearly 20% of responses were inconsistent between reporting race/ethnicity versus geographic ancestry. Despite strong concordance between AIMs and HLA, no measure of self-identification shows complete correspondence with genetic ancestry. In certain cases geographic ancestry reporting matches genetic ancestry not reflected in race/ethnicity identification, but in other cases geographic ancestries show little correspondence to genetic measures, with important differences by gender. However, when respondents assign ancestry to grandparents, we observe sub-groups of individuals with well- defined genetic ancestries, including important differences in HLA frequencies, with implications for transplant matching. While we advocate for tailored questioning to improve accuracy of ancestry ascertainment, collection of donor grandparents' information will improve the chances of finding matches for many patients, particularly for mixed-ancestry individuals.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0135960</identifier><identifier>PMID: 26287376</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Algorithms ; Bioinformatics ; Biology ; Biomedical research ; Bone Marrow ; Bone marrow transplantation ; Bone Marrow Transplantation - methods ; Census of Population ; Civil rights ; Classification ; Continental Population Groups - genetics ; Demographics ; Ethnic Groups - genetics ; Ethnicity ; Female ; Genetics ; Genetics, Medical - methods ; Genomes ; Genomics ; Haplotypes ; Hispanic Americans ; Histocompatibility antigen HLA ; HLA Antigens - genetics ; Humans ; Identification ; Immunology ; Leukocytes ; Male ; Matching ; Medicine ; Minority & ethnic groups ; Polls & surveys ; Public health ; Questionnaires ; Race ; Stem cell transplantation ; Studies ; Tissue Donors ; Transplant Recipients ; Transplants & implants</subject><ispartof>PloS one, 2015-08, Vol.10 (8), p.e0135960-e0135960</ispartof><rights>2015 Hollenbach et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Hollenbach et al 2015 Hollenbach et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-d221206be9e754ca8fdd7e977d2d6ba11ddf57aaf52e2d13559ec5812ecdbdd13</citedby><cites>FETCH-LOGICAL-c526t-d221206be9e754ca8fdd7e977d2d6ba11ddf57aaf52e2d13559ec5812ecdbdd13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545604/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545604/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26287376$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mersha, Tesfaye B</contributor><creatorcontrib>Hollenbach, Jill A</creatorcontrib><creatorcontrib>Saperstein, Aliya</creatorcontrib><creatorcontrib>Albrecht, Mark</creatorcontrib><creatorcontrib>Vierra-Green, Cynthia</creatorcontrib><creatorcontrib>Parham, Peter</creatorcontrib><creatorcontrib>Norman, Paul J</creatorcontrib><creatorcontrib>Maiers, Martin</creatorcontrib><title>Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matching algorithms for unrelated bone marrow transplant. Multiple dimensions of self-identification, including race/ethnicity and geographic ancestry were compared to classifications based on ancestry informative markers (AIMs), and the human leukocyte antigen (HLA) genes, which are required for transplant matching. Nearly 20% of responses were inconsistent between reporting race/ethnicity versus geographic ancestry. Despite strong concordance between AIMs and HLA, no measure of self-identification shows complete correspondence with genetic ancestry. In certain cases geographic ancestry reporting matches genetic ancestry not reflected in race/ethnicity identification, but in other cases geographic ancestries show little correspondence to genetic measures, with important differences by gender. However, when respondents assign ancestry to grandparents, we observe sub-groups of individuals with well- defined genetic ancestries, including important differences in HLA frequencies, with implications for transplant matching. While we advocate for tailored questioning to improve accuracy of ancestry ascertainment, collection of donor grandparents' information will improve the chances of finding matches for many patients, particularly for mixed-ancestry individuals.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biomedical research</subject><subject>Bone Marrow</subject><subject>Bone marrow transplantation</subject><subject>Bone Marrow Transplantation - methods</subject><subject>Census of Population</subject><subject>Civil rights</subject><subject>Classification</subject><subject>Continental Population Groups - genetics</subject><subject>Demographics</subject><subject>Ethnic Groups - genetics</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Genetics</subject><subject>Genetics, Medical - methods</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Haplotypes</subject><subject>Hispanic Americans</subject><subject>Histocompatibility antigen HLA</subject><subject>HLA Antigens - genetics</subject><subject>Humans</subject><subject>Identification</subject><subject>Immunology</subject><subject>Leukocytes</subject><subject>Male</subject><subject>Matching</subject><subject>Medicine</subject><subject>Minority & ethnic groups</subject><subject>Polls & surveys</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Race</subject><subject>Stem cell transplantation</subject><subject>Studies</subject><subject>Tissue Donors</subject><subject>Transplant Recipients</subject><subject>Transplants & implants</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1vEzEQXSEQLYV_gMASFw4k2N61vdsDUhTaEqkFBO3ZcuzZxNGuvdgOVf4RPxPno1WLONmaefPmzcwritcEj0kpyMeVXwenuvHgHYwxKVnD8ZPimDQlHXGKy6cP_kfFixhXGLOy5vx5cUQ5rUUp-HHx54fS8AGdpaWz2qYNUs6gidMQU9gg69CNC9CpBAZdB-Xi0CmX0JVKemndArU-oLQE9FUl67OanAnB36LP3uXM9-AXQfWnaIKmvh9UsNE75Ft0te6SHTpA5z70cRv5CV07mhlwybZW79jQrU1LdAEOktXxZfGsVV2EV4f3pLg5P7uefhldfruYTSeXI80oTyNDKaGYz6EBwSqt6tYYAY0Qhho-V4QY0zKhVMsoUJO3xhrQrCYUtJmbHDgp3u55h85HeVhylETgmnHBS5ERsz3CeLWSQ7C9ChvplZW7gA8LqUKW3IFsFWMCl9DiGle8hLrCmLeG0FoLOsdN5vp06Lae92B0nj-o7hHp44yzS7nwv2XFKsZxlQneHwiC_7XOV5O9jRq6fCbw651uJkpMKcvQd_9A_z9dtUfp4GMM0N6LIVhujXdXJbfGkwfj5bI3Dwe5L7pzWvkXYyPZtA</recordid><startdate>20150819</startdate><enddate>20150819</enddate><creator>Hollenbach, Jill A</creator><creator>Saperstein, Aliya</creator><creator>Albrecht, Mark</creator><creator>Vierra-Green, Cynthia</creator><creator>Parham, Peter</creator><creator>Norman, Paul J</creator><creator>Maiers, Martin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150819</creationdate><title>Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics</title><author>Hollenbach, Jill A ; Saperstein, Aliya ; Albrecht, Mark ; Vierra-Green, Cynthia ; Parham, Peter ; Norman, Paul J ; Maiers, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-d221206be9e754ca8fdd7e977d2d6ba11ddf57aaf52e2d13559ec5812ecdbdd13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Biomedical research</topic><topic>Bone Marrow</topic><topic>Bone marrow transplantation</topic><topic>Bone Marrow Transplantation - methods</topic><topic>Census of Population</topic><topic>Civil rights</topic><topic>Classification</topic><topic>Continental Population Groups - genetics</topic><topic>Demographics</topic><topic>Ethnic Groups - genetics</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Genetics</topic><topic>Genetics, Medical - methods</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Haplotypes</topic><topic>Hispanic Americans</topic><topic>Histocompatibility antigen HLA</topic><topic>HLA Antigens - genetics</topic><topic>Humans</topic><topic>Identification</topic><topic>Immunology</topic><topic>Leukocytes</topic><topic>Male</topic><topic>Matching</topic><topic>Medicine</topic><topic>Minority & ethnic groups</topic><topic>Polls & surveys</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Race</topic><topic>Stem cell transplantation</topic><topic>Studies</topic><topic>Tissue Donors</topic><topic>Transplant Recipients</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hollenbach, Jill A</creatorcontrib><creatorcontrib>Saperstein, Aliya</creatorcontrib><creatorcontrib>Albrecht, Mark</creatorcontrib><creatorcontrib>Vierra-Green, Cynthia</creatorcontrib><creatorcontrib>Parham, Peter</creatorcontrib><creatorcontrib>Norman, Paul J</creatorcontrib><creatorcontrib>Maiers, Martin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hollenbach, Jill A</au><au>Saperstein, Aliya</au><au>Albrecht, Mark</au><au>Vierra-Green, Cynthia</au><au>Parham, Peter</au><au>Norman, Paul J</au><au>Maiers, Martin</au><au>Mersha, Tesfaye B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-08-19</date><risdate>2015</risdate><volume>10</volume><issue>8</issue><spage>e0135960</spage><epage>e0135960</epage><pages>e0135960-e0135960</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matching algorithms for unrelated bone marrow transplant. Multiple dimensions of self-identification, including race/ethnicity and geographic ancestry were compared to classifications based on ancestry informative markers (AIMs), and the human leukocyte antigen (HLA) genes, which are required for transplant matching. Nearly 20% of responses were inconsistent between reporting race/ethnicity versus geographic ancestry. Despite strong concordance between AIMs and HLA, no measure of self-identification shows complete correspondence with genetic ancestry. In certain cases geographic ancestry reporting matches genetic ancestry not reflected in race/ethnicity identification, but in other cases geographic ancestries show little correspondence to genetic measures, with important differences by gender. However, when respondents assign ancestry to grandparents, we observe sub-groups of individuals with well- defined genetic ancestries, including important differences in HLA frequencies, with implications for transplant matching. While we advocate for tailored questioning to improve accuracy of ancestry ascertainment, collection of donor grandparents' information will improve the chances of finding matches for many patients, particularly for mixed-ancestry individuals.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26287376</pmid><doi>10.1371/journal.pone.0135960</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-08, Vol.10 (8), p.e0135960-e0135960 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1708567637 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Algorithms Bioinformatics Biology Biomedical research Bone Marrow Bone marrow transplantation Bone Marrow Transplantation - methods Census of Population Civil rights Classification Continental Population Groups - genetics Demographics Ethnic Groups - genetics Ethnicity Female Genetics Genetics, Medical - methods Genomes Genomics Haplotypes Hispanic Americans Histocompatibility antigen HLA HLA Antigens - genetics Humans Identification Immunology Leukocytes Male Matching Medicine Minority & ethnic groups Polls & surveys Public health Questionnaires Race Stem cell transplantation Studies Tissue Donors Transplant Recipients Transplants & implants |
| title | Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T23%3A12%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Race,%20Ethnicity%20and%20Ancestry%20in%20Unrelated%20Transplant%20Matching%20for%20the%20National%20Marrow%20Donor%20Program:%20A%20Comparison%20of%20Multiple%20Forms%20of%20Self-Identification%20with%20Genetics&rft.jtitle=PloS%20one&rft.au=Hollenbach,%20Jill%20A&rft.date=2015-08-19&rft.volume=10&rft.issue=8&rft.spage=e0135960&rft.epage=e0135960&rft.pages=e0135960-e0135960&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0135960&rft_dat=%3Cproquest_plos_%3E3793737971%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1708567637&rft_id=info:pmid/26287376&rft_doaj_id=oai_doaj_org_article_fa55703ef080463e84006fd128c72b09&rfr_iscdi=true |