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Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population
Abstract DNA phenotyping is a rapidly developing area of research in forensic biology. Externally visible characteristics (EVCs) can be determined based on genotype data, specifically based on single nucleotide polymorphisms (SNPs). These SNPs are chosen based on their association with genes related...
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Published in: | Forensic science international : genetics 2014-03, Vol.9, p.111-117 |
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description | Abstract DNA phenotyping is a rapidly developing area of research in forensic biology. Externally visible characteristics (EVCs) can be determined based on genotype data, specifically based on single nucleotide polymorphisms (SNPs). These SNPs are chosen based on their association with genes related to the phenotypic expression of interest, with known examples in eye, hair, and skin color traits. DNA phenotyping has forensic importance when unknown biological samples at a crime scene do not result in a criminal database hit; a phenotypic profile of the sample can therefore be used to develop investigational leads. IrisPlex, an eye color prediction assay, has previously shown high prediction rates for blue and brown eye color in a Dutch European population. The objective of this work was to evaluate its utility in a North American population. We evaluated six SNPs included in the IrisPlex assay in population sample collected from a USA college campus. We used a quantitative method of eye color classification based on (RGB) color components of digital photographs of the eye taken from each study volunteer so that each eye was placed in one of three eye color categories: brown, intermediate, or blue. Objective color classification was shown to correlate with basic human visual determination making it a feasible option for use in future prediction assay development. Using these samples and various models, the maximum prediction accuracies of the IrisPlex system after allele frequency adjustment was 58% and 95% brown and blue eye color predictions, respectively, and 11% for intermediate eye colors. Future developments should include incorporation of additional informative SNPs, specifically related to the intermediate eye color, and we recommend the use of a Bayesian approach as a prediction model as likelihood ratios can be determined for reporting purposes. |
doi_str_mv | 10.1016/j.fsigen.2013.12.003 |
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Externally visible characteristics (EVCs) can be determined based on genotype data, specifically based on single nucleotide polymorphisms (SNPs). These SNPs are chosen based on their association with genes related to the phenotypic expression of interest, with known examples in eye, hair, and skin color traits. DNA phenotyping has forensic importance when unknown biological samples at a crime scene do not result in a criminal database hit; a phenotypic profile of the sample can therefore be used to develop investigational leads. IrisPlex, an eye color prediction assay, has previously shown high prediction rates for blue and brown eye color in a Dutch European population. The objective of this work was to evaluate its utility in a North American population. We evaluated six SNPs included in the IrisPlex assay in population sample collected from a USA college campus. We used a quantitative method of eye color classification based on (RGB) color components of digital photographs of the eye taken from each study volunteer so that each eye was placed in one of three eye color categories: brown, intermediate, or blue. Objective color classification was shown to correlate with basic human visual determination making it a feasible option for use in future prediction assay development. Using these samples and various models, the maximum prediction accuracies of the IrisPlex system after allele frequency adjustment was 58% and 95% brown and blue eye color predictions, respectively, and 11% for intermediate eye colors. Future developments should include incorporation of additional informative SNPs, specifically related to the intermediate eye color, and we recommend the use of a Bayesian approach as a prediction model as likelihood ratios can be determined for reporting purposes.</description><identifier>ISSN: 1872-4973</identifier><identifier>EISSN: 1878-0326</identifier><identifier>DOI: 10.1016/j.fsigen.2013.12.003</identifier><identifier>PMID: 24528589</identifier><language>eng</language><publisher>Netherlands</publisher><subject>DNA - genetics ; Eye Color - genetics ; Gene Frequency ; Genetics, Population ; Genotype ; Humans ; Image Processing, Computer-Assisted ; Likelihood Functions ; Logistic Models ; Pathology ; Phenotype ; Photography ; Polymorphism, Single Nucleotide ; Predictive Value of Tests ; Real-Time Polymerase Chain Reaction ; Sensitivity and Specificity ; United States</subject><ispartof>Forensic science international : genetics, 2014-03, Vol.9, p.111-117</ispartof><rights>Elsevier Ireland Ltd</rights><rights>Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-d885a0bbea131781bd813e17a52061f27cd1adfbb239dc75bc7f234e56f87c483</citedby><cites>FETCH-LOGICAL-c362t-d885a0bbea131781bd813e17a52061f27cd1adfbb239dc75bc7f234e56f87c483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24528589$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dembinski, Gina M</creatorcontrib><creatorcontrib>Picard, Christine J</creatorcontrib><title>Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population</title><title>Forensic science international : genetics</title><addtitle>Forensic Sci Int Genet</addtitle><description>Abstract DNA phenotyping is a rapidly developing area of research in forensic biology. Externally visible characteristics (EVCs) can be determined based on genotype data, specifically based on single nucleotide polymorphisms (SNPs). These SNPs are chosen based on their association with genes related to the phenotypic expression of interest, with known examples in eye, hair, and skin color traits. DNA phenotyping has forensic importance when unknown biological samples at a crime scene do not result in a criminal database hit; a phenotypic profile of the sample can therefore be used to develop investigational leads. IrisPlex, an eye color prediction assay, has previously shown high prediction rates for blue and brown eye color in a Dutch European population. The objective of this work was to evaluate its utility in a North American population. We evaluated six SNPs included in the IrisPlex assay in population sample collected from a USA college campus. We used a quantitative method of eye color classification based on (RGB) color components of digital photographs of the eye taken from each study volunteer so that each eye was placed in one of three eye color categories: brown, intermediate, or blue. Objective color classification was shown to correlate with basic human visual determination making it a feasible option for use in future prediction assay development. Using these samples and various models, the maximum prediction accuracies of the IrisPlex system after allele frequency adjustment was 58% and 95% brown and blue eye color predictions, respectively, and 11% for intermediate eye colors. Future developments should include incorporation of additional informative SNPs, specifically related to the intermediate eye color, and we recommend the use of a Bayesian approach as a prediction model as likelihood ratios can be determined for reporting purposes.</description><subject>DNA - genetics</subject><subject>Eye Color - genetics</subject><subject>Gene Frequency</subject><subject>Genetics, Population</subject><subject>Genotype</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Likelihood Functions</subject><subject>Logistic Models</subject><subject>Pathology</subject><subject>Phenotype</subject><subject>Photography</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Predictive Value of Tests</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Sensitivity and Specificity</subject><subject>United States</subject><issn>1872-4973</issn><issn>1878-0326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNo9kU1v1DAQhi0Eoh_wDxDykUuCx45j54JUtaVUqgCp9Igsx5mAF28c7KRi_z3e3cLJc3jmHc8zhLwBVgOD9v2mHrP_gVPNGYgaeM2YeEZOQStdMcHb54eaV02nxAk5y3nDmOwUyJfkhDeSa6m7U_L9-tGG1S4-TjSOdPmJ9Db5_DXgH3r1-aLqbcaB4g6piyEmOiccvDvgNme7o74U9GHyS8HuF7tgpnOc13CIfEVejDZkfP30npOHj9ffLj9Vd19ubi8v7ionWr5Ug9bSsr5HCwKUhn7QIBCUlZy1MHLlBrDD2PdcdINTsndq5KJB2Y5auUaLc_LumDun-HvFvJitzw5DsBPGNRuQjLVd23ZQ0OaIuhRzTjiaOfmtTTsDzOzFmo05ijV7sQa4KWJL29unCWu_xeF_0z-TBfhwBLDs-egxGRf85J0Nv4q9vIlrmooCAyaXRHO_v83-NCAY4-V74i_D2os5</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Dembinski, Gina M</creator><creator>Picard, Christine J</creator><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>7X8</scope></search><sort><creationdate>20140301</creationdate><title>Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population</title><author>Dembinski, Gina M ; Picard, Christine J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-d885a0bbea131781bd813e17a52061f27cd1adfbb239dc75bc7f234e56f87c483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>DNA - genetics</topic><topic>Eye Color - genetics</topic><topic>Gene Frequency</topic><topic>Genetics, Population</topic><topic>Genotype</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Likelihood Functions</topic><topic>Logistic Models</topic><topic>Pathology</topic><topic>Phenotype</topic><topic>Photography</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Predictive Value of Tests</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Sensitivity and Specificity</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dembinski, Gina M</creatorcontrib><creatorcontrib>Picard, Christine J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Forensic science international : genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dembinski, Gina M</au><au>Picard, Christine J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population</atitle><jtitle>Forensic science international : genetics</jtitle><addtitle>Forensic Sci Int Genet</addtitle><date>2014-03-01</date><risdate>2014</risdate><volume>9</volume><spage>111</spage><epage>117</epage><pages>111-117</pages><issn>1872-4973</issn><eissn>1878-0326</eissn><abstract>Abstract DNA phenotyping is a rapidly developing area of research in forensic biology. Externally visible characteristics (EVCs) can be determined based on genotype data, specifically based on single nucleotide polymorphisms (SNPs). These SNPs are chosen based on their association with genes related to the phenotypic expression of interest, with known examples in eye, hair, and skin color traits. DNA phenotyping has forensic importance when unknown biological samples at a crime scene do not result in a criminal database hit; a phenotypic profile of the sample can therefore be used to develop investigational leads. IrisPlex, an eye color prediction assay, has previously shown high prediction rates for blue and brown eye color in a Dutch European population. The objective of this work was to evaluate its utility in a North American population. We evaluated six SNPs included in the IrisPlex assay in population sample collected from a USA college campus. We used a quantitative method of eye color classification based on (RGB) color components of digital photographs of the eye taken from each study volunteer so that each eye was placed in one of three eye color categories: brown, intermediate, or blue. Objective color classification was shown to correlate with basic human visual determination making it a feasible option for use in future prediction assay development. Using these samples and various models, the maximum prediction accuracies of the IrisPlex system after allele frequency adjustment was 58% and 95% brown and blue eye color predictions, respectively, and 11% for intermediate eye colors. Future developments should include incorporation of additional informative SNPs, specifically related to the intermediate eye color, and we recommend the use of a Bayesian approach as a prediction model as likelihood ratios can be determined for reporting purposes.</abstract><cop>Netherlands</cop><pmid>24528589</pmid><doi>10.1016/j.fsigen.2013.12.003</doi><tpages>7</tpages></addata></record> |
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subjects | DNA - genetics Eye Color - genetics Gene Frequency Genetics, Population Genotype Humans Image Processing, Computer-Assisted Likelihood Functions Logistic Models Pathology Phenotype Photography Polymorphism, Single Nucleotide Predictive Value of Tests Real-Time Polymerase Chain Reaction Sensitivity and Specificity United States |
title | Evaluation of the IrisPlex DNA-based eye color prediction assay in a United States population |
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