Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel
•Ancestry evaluation using SNPforID 52plex is biased compared to subset 79 AIMs belonging Lace panel.•Ancestry evaluation generated with the identification panel must be interpreted with caution.•New SNPs panel with higher In for Native American populations would improvement ancestry assessment.•Con...
Gespeichert in:
| Veröffentlicht in: | Forensic science international 2021-09, Vol.326, p.110934-110934, Article 110934 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 110934 |
|---|---|
| container_issue | |
| container_start_page | 110934 |
| container_title | Forensic science international |
| container_volume | 326 |
| creator | Suárez, Dayana Cruz, Raquel Torres, María Mogollón, Fernanda Moncada, Julie Carracedo, Angel Usaquén, William |
| description | •Ancestry evaluation using SNPforID 52plex is biased compared to subset 79 AIMs belonging Lace panel.•Ancestry evaluation generated with the identification panel must be interpreted with caution.•New SNPs panel with higher In for Native American populations would improvement ancestry assessment.•Convenience non-probability sampling, demographic previous study help to found Native American ancestry admixed populations.•Convenience non-probability sampling, historical, demographic tools in ancestry evaluation.
Current human populations are studied to elucidate their ancestry composition and to obtain reference values for an array of genetic markers for forensic practice. This study compared the 79 ancestry informative markers (AIMs) panel with the SNPforID 52plex set used in forensic identification, using samples belonging to Continental Caribbean populations from Colombia with a high percentage of locals self-determined as Native American descendants. The results show a bias in the individual estimation made with the identification markers, which disregards the Native American ancestry component and overestimates the African ancestry component. Also, the analysis made with the Bayesian Classification Algorithm shows better likelihoods for individual assignment with AIMs than with SNPforID 52plex. |
| doi_str_mv | 10.1016/j.forsciint.2021.110934 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2562521753</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0379073821002541</els_id><sourcerecordid>2562819265</sourcerecordid><originalsourceid>FETCH-LOGICAL-c399t-5c1990a35e39cabbb6e5b0529b6732b7371ddec9d3b8669c63918f53c56cd9b83</originalsourceid><addsrcrecordid>eNqFkc1u1DAUhS0EokPhFcASGxZk8M_YiZdR1ZZK5UcqrC3HuaEeJfZgO0XzILwvTlO6YMPKsv2dc6_OQegNJVtKqPyw3w4hJuucz1tGGN1SShTfPUEb2tSskqzhT9GG8FpVpObNCXqR0p4QIgSTz9EJ3-3Irsg26HfrLaQcj9h4Mx6TS3hOzv_AZs4hhcmM-Obz14Sdxz7EfAvR45sw51vcThCdNe9xhDsw44JkiIcI2WQXPO7dMECExR53kH8B-DIDt1ef8MF4GMulXx5cDz67oVjdy-7_XqJnQ7GEVw_nKfp-cf7t7GN1_eXy6qy9rixXKlfCUqWI4QK4sqbrOgmiI4KpTtacdTWvad-DVT3vGimVlVzRZhDcCml71TX8FL1bfQ8x_JxLDnpyycI4liXCnDQTkglGa8EL-vYfdB_mWDJbqYYqJkWh6pWyMaQUYdCH6CYTj5oSvTSn9_qxOb00p9fmivL1g__cTdA_6v5WVYB2BaAEcucg6uKyxNu7CDbrPrj_DvkDbd6wbg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2562819265</pqid></control><display><type>article</type><title>Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel</title><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Suárez, Dayana ; Cruz, Raquel ; Torres, María ; Mogollón, Fernanda ; Moncada, Julie ; Carracedo, Angel ; Usaquén, William</creator><creatorcontrib>Suárez, Dayana ; Cruz, Raquel ; Torres, María ; Mogollón, Fernanda ; Moncada, Julie ; Carracedo, Angel ; Usaquén, William</creatorcontrib><description>•Ancestry evaluation using SNPforID 52plex is biased compared to subset 79 AIMs belonging Lace panel.•Ancestry evaluation generated with the identification panel must be interpreted with caution.•New SNPs panel with higher In for Native American populations would improvement ancestry assessment.•Convenience non-probability sampling, demographic previous study help to found Native American ancestry admixed populations.•Convenience non-probability sampling, historical, demographic tools in ancestry evaluation.
Current human populations are studied to elucidate their ancestry composition and to obtain reference values for an array of genetic markers for forensic practice. This study compared the 79 ancestry informative markers (AIMs) panel with the SNPforID 52plex set used in forensic identification, using samples belonging to Continental Caribbean populations from Colombia with a high percentage of locals self-determined as Native American descendants. The results show a bias in the individual estimation made with the identification markers, which disregards the Native American ancestry component and overestimates the African ancestry component. Also, the analysis made with the Bayesian Classification Algorithm shows better likelihoods for individual assignment with AIMs than with SNPforID 52plex.</description><identifier>ISSN: 0379-0738</identifier><identifier>EISSN: 1872-6283</identifier><identifier>DOI: 10.1016/j.forsciint.2021.110934</identifier><identifier>PMID: 34404021</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>AIMs ; Algorithms ; Ancestry inference ; Bayesian analysis ; Bayesian classification analysis ; Biogeography ; Consortia ; Discriminant analysis ; Discriminant analysis of principal components (DAPC) ; Forensic science ; Forensic sciences ; Genetic markers ; Human populations ; Markers ; Minority & ethnic groups ; Population ; Population studies ; Populations ; Principal components analysis ; Single-nucleotide polymorphism ; SNPforID 52plex ; SNPs ; Software</subject><ispartof>Forensic science international, 2021-09, Vol.326, p.110934-110934, Article 110934</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright © 2021 Elsevier B.V. All rights reserved.</rights><rights>2021. Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-5c1990a35e39cabbb6e5b0529b6732b7371ddec9d3b8669c63918f53c56cd9b83</citedby><cites>FETCH-LOGICAL-c399t-5c1990a35e39cabbb6e5b0529b6732b7371ddec9d3b8669c63918f53c56cd9b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2562819265?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34404021$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suárez, Dayana</creatorcontrib><creatorcontrib>Cruz, Raquel</creatorcontrib><creatorcontrib>Torres, María</creatorcontrib><creatorcontrib>Mogollón, Fernanda</creatorcontrib><creatorcontrib>Moncada, Julie</creatorcontrib><creatorcontrib>Carracedo, Angel</creatorcontrib><creatorcontrib>Usaquén, William</creatorcontrib><title>Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel</title><title>Forensic science international</title><addtitle>Forensic Sci Int</addtitle><description>•Ancestry evaluation using SNPforID 52plex is biased compared to subset 79 AIMs belonging Lace panel.•Ancestry evaluation generated with the identification panel must be interpreted with caution.•New SNPs panel with higher In for Native American populations would improvement ancestry assessment.•Convenience non-probability sampling, demographic previous study help to found Native American ancestry admixed populations.•Convenience non-probability sampling, historical, demographic tools in ancestry evaluation.
Current human populations are studied to elucidate their ancestry composition and to obtain reference values for an array of genetic markers for forensic practice. This study compared the 79 ancestry informative markers (AIMs) panel with the SNPforID 52plex set used in forensic identification, using samples belonging to Continental Caribbean populations from Colombia with a high percentage of locals self-determined as Native American descendants. The results show a bias in the individual estimation made with the identification markers, which disregards the Native American ancestry component and overestimates the African ancestry component. Also, the analysis made with the Bayesian Classification Algorithm shows better likelihoods for individual assignment with AIMs than with SNPforID 52plex.</description><subject>AIMs</subject><subject>Algorithms</subject><subject>Ancestry inference</subject><subject>Bayesian analysis</subject><subject>Bayesian classification analysis</subject><subject>Biogeography</subject><subject>Consortia</subject><subject>Discriminant analysis</subject><subject>Discriminant analysis of principal components (DAPC)</subject><subject>Forensic science</subject><subject>Forensic sciences</subject><subject>Genetic markers</subject><subject>Human populations</subject><subject>Markers</subject><subject>Minority & ethnic groups</subject><subject>Population</subject><subject>Population studies</subject><subject>Populations</subject><subject>Principal components analysis</subject><subject>Single-nucleotide polymorphism</subject><subject>SNPforID 52plex</subject><subject>SNPs</subject><subject>Software</subject><issn>0379-0738</issn><issn>1872-6283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1u1DAUhS0EokPhFcASGxZk8M_YiZdR1ZZK5UcqrC3HuaEeJfZgO0XzILwvTlO6YMPKsv2dc6_OQegNJVtKqPyw3w4hJuucz1tGGN1SShTfPUEb2tSskqzhT9GG8FpVpObNCXqR0p4QIgSTz9EJ3-3Irsg26HfrLaQcj9h4Mx6TS3hOzv_AZs4hhcmM-Obz14Sdxz7EfAvR45sw51vcThCdNe9xhDsw44JkiIcI2WQXPO7dMECExR53kH8B-DIDt1ef8MF4GMulXx5cDz67oVjdy-7_XqJnQ7GEVw_nKfp-cf7t7GN1_eXy6qy9rixXKlfCUqWI4QK4sqbrOgmiI4KpTtacdTWvad-DVT3vGimVlVzRZhDcCml71TX8FL1bfQ8x_JxLDnpyycI4liXCnDQTkglGa8EL-vYfdB_mWDJbqYYqJkWh6pWyMaQUYdCH6CYTj5oSvTSn9_qxOb00p9fmivL1g__cTdA_6v5WVYB2BaAEcucg6uKyxNu7CDbrPrj_DvkDbd6wbg</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Suárez, Dayana</creator><creator>Cruz, Raquel</creator><creator>Torres, María</creator><creator>Mogollón, Fernanda</creator><creator>Moncada, Julie</creator><creator>Carracedo, Angel</creator><creator>Usaquén, William</creator><general>Elsevier B.V</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20210901</creationdate><title>Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel</title><author>Suárez, Dayana ; Cruz, Raquel ; Torres, María ; Mogollón, Fernanda ; Moncada, Julie ; Carracedo, Angel ; Usaquén, William</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-5c1990a35e39cabbb6e5b0529b6732b7371ddec9d3b8669c63918f53c56cd9b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>AIMs</topic><topic>Algorithms</topic><topic>Ancestry inference</topic><topic>Bayesian analysis</topic><topic>Bayesian classification analysis</topic><topic>Biogeography</topic><topic>Consortia</topic><topic>Discriminant analysis</topic><topic>Discriminant analysis of principal components (DAPC)</topic><topic>Forensic science</topic><topic>Forensic sciences</topic><topic>Genetic markers</topic><topic>Human populations</topic><topic>Markers</topic><topic>Minority & ethnic groups</topic><topic>Population</topic><topic>Population studies</topic><topic>Populations</topic><topic>Principal components analysis</topic><topic>Single-nucleotide polymorphism</topic><topic>SNPforID 52plex</topic><topic>SNPs</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suárez, Dayana</creatorcontrib><creatorcontrib>Cruz, Raquel</creatorcontrib><creatorcontrib>Torres, María</creatorcontrib><creatorcontrib>Mogollón, Fernanda</creatorcontrib><creatorcontrib>Moncada, Julie</creatorcontrib><creatorcontrib>Carracedo, Angel</creatorcontrib><creatorcontrib>Usaquén, William</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Forensic science international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suárez, Dayana</au><au>Cruz, Raquel</au><au>Torres, María</au><au>Mogollón, Fernanda</au><au>Moncada, Julie</au><au>Carracedo, Angel</au><au>Usaquén, William</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel</atitle><jtitle>Forensic science international</jtitle><addtitle>Forensic Sci Int</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>326</volume><spage>110934</spage><epage>110934</epage><pages>110934-110934</pages><artnum>110934</artnum><issn>0379-0738</issn><eissn>1872-6283</eissn><abstract>•Ancestry evaluation using SNPforID 52plex is biased compared to subset 79 AIMs belonging Lace panel.•Ancestry evaluation generated with the identification panel must be interpreted with caution.•New SNPs panel with higher In for Native American populations would improvement ancestry assessment.•Convenience non-probability sampling, demographic previous study help to found Native American ancestry admixed populations.•Convenience non-probability sampling, historical, demographic tools in ancestry evaluation.
Current human populations are studied to elucidate their ancestry composition and to obtain reference values for an array of genetic markers for forensic practice. This study compared the 79 ancestry informative markers (AIMs) panel with the SNPforID 52plex set used in forensic identification, using samples belonging to Continental Caribbean populations from Colombia with a high percentage of locals self-determined as Native American descendants. The results show a bias in the individual estimation made with the identification markers, which disregards the Native American ancestry component and overestimates the African ancestry component. Also, the analysis made with the Bayesian Classification Algorithm shows better likelihoods for individual assignment with AIMs than with SNPforID 52plex.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>34404021</pmid><doi>10.1016/j.forsciint.2021.110934</doi><tpages>1</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0379-0738 |
| ispartof | Forensic science international, 2021-09, Vol.326, p.110934-110934, Article 110934 |
| issn | 0379-0738 1872-6283 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2562521753 |
| source | Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland |
| subjects | AIMs Algorithms Ancestry inference Bayesian analysis Bayesian classification analysis Biogeography Consortia Discriminant analysis Discriminant analysis of principal components (DAPC) Forensic science Forensic sciences Genetic markers Human populations Markers Minority & ethnic groups Population Population studies Populations Principal components analysis Single-nucleotide polymorphism SNPforID 52plex SNPs Software |
| title | Ancestry analysis using autosomal SNPs in northern South America, reveals interpretation differences between an AIM panel and an identification panel |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T20%3A38%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ancestry%20analysis%20using%20autosomal%20SNPs%20in%20northern%20South%20America,%20reveals%20interpretation%20differences%20between%20an%20AIM%20panel%20and%20an%20identification%20panel&rft.jtitle=Forensic%20science%20international&rft.au=Su%C3%A1rez,%20Dayana&rft.date=2021-09-01&rft.volume=326&rft.spage=110934&rft.epage=110934&rft.pages=110934-110934&rft.artnum=110934&rft.issn=0379-0738&rft.eissn=1872-6283&rft_id=info:doi/10.1016/j.forsciint.2021.110934&rft_dat=%3Cproquest_cross%3E2562819265%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2562819265&rft_id=info:pmid/34404021&rft_els_id=S0379073821002541&rfr_iscdi=true |