Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls
Purpose To evaluate the effectiveness and specificity of population-based genomic screening in Alabama. Methods The Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screeni...
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Veröffentlicht in: | Genetics in medicine 2021-02, Vol.23 (2), p.280-288 |
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creator | Bowling, Kevin M. Thompson, Michelle L. Gray, David E. Lawlor, James M. J. Williams, Kelly East, Kelly M. Kelley, Whitley V. Moss, Irene P. Absher, Devin M. Partridge, E. Christopher Hurst, Anna C. E. Edberg, Jeffrey C. Barsh, Gregory S. Korf, Bruce R. Cooper, Gregory M. |
description | Purpose
To evaluate the effectiveness and specificity of population-based genomic screening in Alabama.
Methods
The Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screening Array (GSA), with validation of all P/LP variants via Sanger sequencing in a CLIA-certified laboratory before return of results.
Results
Among 131 variants identified by the GSA that were evaluated by Sanger sequencing, 67 (51%) were false positives (FP). For 39 of the 67 FP variants, a benign/likely benign variant was present at or near the targeted P/LP variant. Variants detected within African American individuals were significantly enriched for FPs, likely due to a higher rate of nontargeted alternative alleles close to array-targeted P/LP variants.
Conclusion
In AGHI, we have implemented an array-based process to screen for highly penetrant genetic variants in actionable disease genes. We demonstrate the need for clinical validation of array-identified variants in direct-to-consumer or population testing, especially for diverse populations. |
doi_str_mv | 10.1038/s41436-020-00976-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2447313282</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2486331395</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-1b81ae300e513d4268bc72302c1113f76e7ab2c9fa5a5dcfdbd5e72f27ad17233</originalsourceid><addsrcrecordid>eNp9kU1r3DAQhkVJaD7aP9BDEeSSQ5zqw5bt3kJI2sBCLulZjKXxomBLrmQvbOiPj7KbtpBDTqNBz7wj9BDyhbNLzmTzLZW8lKpgghWMtbUqnj6QY17J3EqlDvKZtU0hFWNH5CSlR8Z4LQX7SI6kaJtWqPaY_Lmz6GfXb51f0wgRL-iI1hkYhi2NOOAG_Ew3EB3MLni6cUCnMC3Dri06SGjpGn0YnaHJRET_kuQ8vRqggxG-0zBNIc6Ld7PDRMFbOrm5zwvSJ3KYa8LPr_WU_Lq9ebj-Wazuf9xdX60KU_J2LnjXcEDJGFZc2lKopjO1kEwYzrnsa4U1dMK0PVRQWdPbzlZYi17UYHkG5Sk53-dOMfxeMM16dMngMIDHsCQtyrKWXIpGZPTsDfoYlujz6zLVKJmxtsqU2FMmhpQi9nqKboS41ZzpFzd670ZnN3rnRj_loa-v0UuX__jfyF8ZGZB7IOUrv8b4f_c7sc_3M5yT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2486331395</pqid></control><display><type>article</type><title>Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Bowling, Kevin M. ; Thompson, Michelle L. ; Gray, David E. ; Lawlor, James M. J. ; Williams, Kelly ; East, Kelly M. ; Kelley, Whitley V. ; Moss, Irene P. ; Absher, Devin M. ; Partridge, E. Christopher ; Hurst, Anna C. E. ; Edberg, Jeffrey C. ; Barsh, Gregory S. ; Korf, Bruce R. ; Cooper, Gregory M.</creator><creatorcontrib>Bowling, Kevin M. ; Thompson, Michelle L. ; Gray, David E. ; Lawlor, James M. J. ; Williams, Kelly ; East, Kelly M. ; Kelley, Whitley V. ; Moss, Irene P. ; Absher, Devin M. ; Partridge, E. Christopher ; Hurst, Anna C. E. ; Edberg, Jeffrey C. ; Barsh, Gregory S. ; Korf, Bruce R. ; Cooper, Gregory M.</creatorcontrib><description>Purpose
To evaluate the effectiveness and specificity of population-based genomic screening in Alabama.
Methods
The Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screening Array (GSA), with validation of all P/LP variants via Sanger sequencing in a CLIA-certified laboratory before return of results.
Results
Among 131 variants identified by the GSA that were evaluated by Sanger sequencing, 67 (51%) were false positives (FP). For 39 of the 67 FP variants, a benign/likely benign variant was present at or near the targeted P/LP variant. Variants detected within African American individuals were significantly enriched for FPs, likely due to a higher rate of nontargeted alternative alleles close to array-targeted P/LP variants.
Conclusion
In AGHI, we have implemented an array-based process to screen for highly penetrant genetic variants in actionable disease genes. We demonstrate the need for clinical validation of array-identified variants in direct-to-consumer or population testing, especially for diverse populations.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/s41436-020-00976-z</identifier><identifier>PMID: 32989269</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Alabama ; Arrays ; Biomedical and Life Sciences ; Biomedicine ; Consent ; Deoxyribonucleic acid ; DNA ; Family medical history ; Genetic counseling ; Genetic disorders ; Genetic Testing ; Genetic Variation ; Genetics ; Genomics ; Genotype & phenotype ; Health risk assessment ; High-Throughput Nucleotide Sequencing ; Human Genetics ; Humans ; Laboratories ; Laboratory Medicine ; Population ; Quality control</subject><ispartof>Genetics in medicine, 2021-02, Vol.23 (2), p.280-288</ispartof><rights>American College of Medical Genetics and Genomics 2020</rights><rights>American College of Medical Genetics and Genomics 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-1b81ae300e513d4268bc72302c1113f76e7ab2c9fa5a5dcfdbd5e72f27ad17233</citedby><cites>FETCH-LOGICAL-c419t-1b81ae300e513d4268bc72302c1113f76e7ab2c9fa5a5dcfdbd5e72f27ad17233</cites><orcidid>0000-0001-5509-9923</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32989269$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bowling, Kevin M.</creatorcontrib><creatorcontrib>Thompson, Michelle L.</creatorcontrib><creatorcontrib>Gray, David E.</creatorcontrib><creatorcontrib>Lawlor, James M. J.</creatorcontrib><creatorcontrib>Williams, Kelly</creatorcontrib><creatorcontrib>East, Kelly M.</creatorcontrib><creatorcontrib>Kelley, Whitley V.</creatorcontrib><creatorcontrib>Moss, Irene P.</creatorcontrib><creatorcontrib>Absher, Devin M.</creatorcontrib><creatorcontrib>Partridge, E. Christopher</creatorcontrib><creatorcontrib>Hurst, Anna C. E.</creatorcontrib><creatorcontrib>Edberg, Jeffrey C.</creatorcontrib><creatorcontrib>Barsh, Gregory S.</creatorcontrib><creatorcontrib>Korf, Bruce R.</creatorcontrib><creatorcontrib>Cooper, Gregory M.</creatorcontrib><title>Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Purpose
To evaluate the effectiveness and specificity of population-based genomic screening in Alabama.
Methods
The Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screening Array (GSA), with validation of all P/LP variants via Sanger sequencing in a CLIA-certified laboratory before return of results.
Results
Among 131 variants identified by the GSA that were evaluated by Sanger sequencing, 67 (51%) were false positives (FP). For 39 of the 67 FP variants, a benign/likely benign variant was present at or near the targeted P/LP variant. Variants detected within African American individuals were significantly enriched for FPs, likely due to a higher rate of nontargeted alternative alleles close to array-targeted P/LP variants.
Conclusion
In AGHI, we have implemented an array-based process to screen for highly penetrant genetic variants in actionable disease genes. We demonstrate the need for clinical validation of array-identified variants in direct-to-consumer or population testing, especially for diverse populations.</description><subject>Alabama</subject><subject>Arrays</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Consent</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Family medical history</subject><subject>Genetic counseling</subject><subject>Genetic disorders</subject><subject>Genetic Testing</subject><subject>Genetic Variation</subject><subject>Genetics</subject><subject>Genomics</subject><subject>Genotype & phenotype</subject><subject>Health risk assessment</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Laboratory Medicine</subject><subject>Population</subject><subject>Quality control</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1r3DAQhkVJaD7aP9BDEeSSQ5zqw5bt3kJI2sBCLulZjKXxomBLrmQvbOiPj7KbtpBDTqNBz7wj9BDyhbNLzmTzLZW8lKpgghWMtbUqnj6QY17J3EqlDvKZtU0hFWNH5CSlR8Z4LQX7SI6kaJtWqPaY_Lmz6GfXb51f0wgRL-iI1hkYhi2NOOAG_Ew3EB3MLni6cUCnMC3Dri06SGjpGn0YnaHJRET_kuQ8vRqggxG-0zBNIc6Ld7PDRMFbOrm5zwvSJ3KYa8LPr_WU_Lq9ebj-Wazuf9xdX60KU_J2LnjXcEDJGFZc2lKopjO1kEwYzrnsa4U1dMK0PVRQWdPbzlZYi17UYHkG5Sk53-dOMfxeMM16dMngMIDHsCQtyrKWXIpGZPTsDfoYlujz6zLVKJmxtsqU2FMmhpQi9nqKboS41ZzpFzd670ZnN3rnRj_loa-v0UuX__jfyF8ZGZB7IOUrv8b4f_c7sc_3M5yT</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Bowling, Kevin M.</creator><creator>Thompson, Michelle L.</creator><creator>Gray, David E.</creator><creator>Lawlor, James M. J.</creator><creator>Williams, Kelly</creator><creator>East, Kelly M.</creator><creator>Kelley, Whitley V.</creator><creator>Moss, Irene P.</creator><creator>Absher, Devin M.</creator><creator>Partridge, E. Christopher</creator><creator>Hurst, Anna C. E.</creator><creator>Edberg, Jeffrey C.</creator><creator>Barsh, Gregory S.</creator><creator>Korf, Bruce R.</creator><creator>Cooper, Gregory M.</creator><general>Nature Publishing Group US</general><general>Elsevier Limited</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5509-9923</orcidid></search><sort><creationdate>20210201</creationdate><title>Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls</title><author>Bowling, Kevin M. ; Thompson, Michelle L. ; Gray, David E. ; Lawlor, James M. J. ; Williams, Kelly ; East, Kelly M. ; Kelley, Whitley V. ; Moss, Irene P. ; Absher, Devin M. ; Partridge, E. Christopher ; Hurst, Anna C. E. ; Edberg, Jeffrey C. ; Barsh, Gregory S. ; Korf, Bruce R. ; Cooper, Gregory M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-1b81ae300e513d4268bc72302c1113f76e7ab2c9fa5a5dcfdbd5e72f27ad17233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alabama</topic><topic>Arrays</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Consent</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Family medical history</topic><topic>Genetic counseling</topic><topic>Genetic disorders</topic><topic>Genetic Testing</topic><topic>Genetic Variation</topic><topic>Genetics</topic><topic>Genomics</topic><topic>Genotype & phenotype</topic><topic>Health risk assessment</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Laboratory Medicine</topic><topic>Population</topic><topic>Quality control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bowling, Kevin M.</creatorcontrib><creatorcontrib>Thompson, Michelle L.</creatorcontrib><creatorcontrib>Gray, David E.</creatorcontrib><creatorcontrib>Lawlor, James M. J.</creatorcontrib><creatorcontrib>Williams, Kelly</creatorcontrib><creatorcontrib>East, Kelly M.</creatorcontrib><creatorcontrib>Kelley, Whitley V.</creatorcontrib><creatorcontrib>Moss, Irene P.</creatorcontrib><creatorcontrib>Absher, Devin M.</creatorcontrib><creatorcontrib>Partridge, E. Christopher</creatorcontrib><creatorcontrib>Hurst, Anna C. E.</creatorcontrib><creatorcontrib>Edberg, Jeffrey C.</creatorcontrib><creatorcontrib>Barsh, Gregory S.</creatorcontrib><creatorcontrib>Korf, Bruce R.</creatorcontrib><creatorcontrib>Cooper, Gregory M.</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bowling, Kevin M.</au><au>Thompson, Michelle L.</au><au>Gray, David E.</au><au>Lawlor, James M. J.</au><au>Williams, Kelly</au><au>East, Kelly M.</au><au>Kelley, Whitley V.</au><au>Moss, Irene P.</au><au>Absher, Devin M.</au><au>Partridge, E. Christopher</au><au>Hurst, Anna C. E.</au><au>Edberg, Jeffrey C.</au><au>Barsh, Gregory S.</au><au>Korf, Bruce R.</au><au>Cooper, Gregory M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>23</volume><issue>2</issue><spage>280</spage><epage>288</epage><pages>280-288</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Purpose
To evaluate the effectiveness and specificity of population-based genomic screening in Alabama.
Methods
The Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screening Array (GSA), with validation of all P/LP variants via Sanger sequencing in a CLIA-certified laboratory before return of results.
Results
Among 131 variants identified by the GSA that were evaluated by Sanger sequencing, 67 (51%) were false positives (FP). For 39 of the 67 FP variants, a benign/likely benign variant was present at or near the targeted P/LP variant. Variants detected within African American individuals were significantly enriched for FPs, likely due to a higher rate of nontargeted alternative alleles close to array-targeted P/LP variants.
Conclusion
In AGHI, we have implemented an array-based process to screen for highly penetrant genetic variants in actionable disease genes. We demonstrate the need for clinical validation of array-identified variants in direct-to-consumer or population testing, especially for diverse populations.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>32989269</pmid><doi>10.1038/s41436-020-00976-z</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5509-9923</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | Alabama Arrays Biomedical and Life Sciences Biomedicine Consent Deoxyribonucleic acid DNA Family medical history Genetic counseling Genetic disorders Genetic Testing Genetic Variation Genetics Genomics Genotype & phenotype Health risk assessment High-Throughput Nucleotide Sequencing Human Genetics Humans Laboratories Laboratory Medicine Population Quality control |
title | Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls |
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