Alu insertion variants alter gene transcript levels
are high copy number interspersed repeats that have accumulated near genes during primate and human evolution. They are a pervasive source of structural variation in modern humans. Impacts that insertions may have on gene expression are not well understood, although some have been associated with ex...
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Veröffentlicht in: | Genome research 2021-12, Vol.31 (12), p.2236-2248 |
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creator | Payer, Lindsay M Steranka, Jared P Kryatova, Maria S Grillo, Giacomo Lupien, Mathieu Rocha, Pedro P Burns, Kathleen H |
description | are high copy number interspersed repeats that have accumulated near genes during primate and human evolution. They are a pervasive source of structural variation in modern humans. Impacts that
insertions may have on gene expression are not well understood, although some have been associated with expression quantitative trait loci (eQTLs). Here, we directly test regulatory effects of polymorphic
insertions in isolation of other variants on the same haplotype. To screen insertion variants for those with such effects, we used ectopic luciferase reporter assays and evaluated 110
insertion variants, including more than 40 with a potential role in disease risk. We observed a continuum of effects with significant outliers that up- or down-regulate luciferase activity. Using a series of reporter constructs, which included genomic context surrounding the
, we can distinguish between instances in which the
disrupts another regulator and those in which the
introduces new regulatory sequence. We next focused on three polymorphic
loci associated with breast cancer that display significant effects in the reporter assay. We used CRISPR to modify the endogenous sequences, establishing cell lines varying in the
genotype. Our findings indicate that
genotype can alter expression of genes implicated in cancer risk, including
,
, and
These data show that commonly occurring polymorphic
elements can alter transcript levels and potentially contribute to disease risk. |
doi_str_mv | 10.1101/gr.261305.120 |
format | Article |
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insertions may have on gene expression are not well understood, although some have been associated with expression quantitative trait loci (eQTLs). Here, we directly test regulatory effects of polymorphic
insertions in isolation of other variants on the same haplotype. To screen insertion variants for those with such effects, we used ectopic luciferase reporter assays and evaluated 110
insertion variants, including more than 40 with a potential role in disease risk. We observed a continuum of effects with significant outliers that up- or down-regulate luciferase activity. Using a series of reporter constructs, which included genomic context surrounding the
, we can distinguish between instances in which the
disrupts another regulator and those in which the
introduces new regulatory sequence. We next focused on three polymorphic
loci associated with breast cancer that display significant effects in the reporter assay. We used CRISPR to modify the endogenous sequences, establishing cell lines varying in the
genotype. Our findings indicate that
genotype can alter expression of genes implicated in cancer risk, including
,
, and
These data show that commonly occurring polymorphic
elements can alter transcript levels and potentially contribute to disease risk.</description><identifier>ISSN: 1088-9051</identifier><identifier>EISSN: 1549-5469</identifier><identifier>DOI: 10.1101/gr.261305.120</identifier><identifier>PMID: 34799402</identifier><language>eng</language><publisher>United States: Cold Spring Harbor Laboratory Press</publisher><subject>Alu elements ; Breast cancer ; Copy number ; CRISPR ; Evolutionary genetics ; Gene expression ; Genotypes ; Haplotypes ; Myc protein ; Quantitative trait loci ; Regulatory sequences ; Transcription</subject><ispartof>Genome research, 2021-12, Vol.31 (12), p.2236-2248</ispartof><rights>2021 Payer et al.; Published by Cold Spring Harbor Laboratory Press.</rights><rights>Copyright Cold Spring Harbor Laboratory Press Dec 2021</rights><rights>2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-f0cefe145c5f3363efdf49174dbc4bb89b6575aeb34dd90a498499dedb138a903</citedby><cites>FETCH-LOGICAL-c481t-f0cefe145c5f3363efdf49174dbc4bb89b6575aeb34dd90a498499dedb138a903</cites><orcidid>0000-0002-6459-3955 ; 0000-0002-7015-8407 ; 0000-0003-1620-3761 ; 0000-0003-0929-9478</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647820/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647820/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34799402$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Payer, Lindsay M</creatorcontrib><creatorcontrib>Steranka, Jared P</creatorcontrib><creatorcontrib>Kryatova, Maria S</creatorcontrib><creatorcontrib>Grillo, Giacomo</creatorcontrib><creatorcontrib>Lupien, Mathieu</creatorcontrib><creatorcontrib>Rocha, Pedro P</creatorcontrib><creatorcontrib>Burns, Kathleen H</creatorcontrib><title>Alu insertion variants alter gene transcript levels</title><title>Genome research</title><addtitle>Genome Res</addtitle><description>are high copy number interspersed repeats that have accumulated near genes during primate and human evolution. They are a pervasive source of structural variation in modern humans. Impacts that
insertions may have on gene expression are not well understood, although some have been associated with expression quantitative trait loci (eQTLs). Here, we directly test regulatory effects of polymorphic
insertions in isolation of other variants on the same haplotype. To screen insertion variants for those with such effects, we used ectopic luciferase reporter assays and evaluated 110
insertion variants, including more than 40 with a potential role in disease risk. We observed a continuum of effects with significant outliers that up- or down-regulate luciferase activity. Using a series of reporter constructs, which included genomic context surrounding the
, we can distinguish between instances in which the
disrupts another regulator and those in which the
introduces new regulatory sequence. We next focused on three polymorphic
loci associated with breast cancer that display significant effects in the reporter assay. We used CRISPR to modify the endogenous sequences, establishing cell lines varying in the
genotype. Our findings indicate that
genotype can alter expression of genes implicated in cancer risk, including
,
, and
These data show that commonly occurring polymorphic
elements can alter transcript levels and potentially contribute to disease risk.</description><subject>Alu elements</subject><subject>Breast cancer</subject><subject>Copy number</subject><subject>CRISPR</subject><subject>Evolutionary genetics</subject><subject>Gene expression</subject><subject>Genotypes</subject><subject>Haplotypes</subject><subject>Myc protein</subject><subject>Quantitative trait loci</subject><subject>Regulatory sequences</subject><subject>Transcription</subject><issn>1088-9051</issn><issn>1549-5469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpdkc9LwzAUx4Mobk6PXqXgxUtn0iRdchFk-AsGXvQc0vS1ZmTpTNqB_73tNod6eg_ehy_f7_sidEnwlBBMbuswzXJCMZ-SDB-hMeFMppzl8rjfsRCpxJyM0FmMS4wxZUKcohFlMykZzsaI3rsusT5CaG3jk40OVvs2Jtq1EJIaPCRt0D6aYNdt4mADLp6jk0q7CBf7OUHvjw9v8-d08fr0Mr9fpIYJ0qYVNlABYdzwitKcQlVWTJIZKwvDikLIIuczrqGgrCwl1kwKJmUJZUGo0BLTCbrb6a67YgWlAd9bcWod7EqHL9Voq_5evP1QdbNRImczkQ0CN3uB0Hx2EFu1stGAc9pD00WV5RhngjE-oNf_0GXTBd_HG6jemOBbwXRHmdDEGKA6mCFYDXWoOqhdHYps-avfCQ70z__pN7b3hjY</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Payer, Lindsay M</creator><creator>Steranka, Jared P</creator><creator>Kryatova, Maria S</creator><creator>Grillo, Giacomo</creator><creator>Lupien, Mathieu</creator><creator>Rocha, Pedro P</creator><creator>Burns, Kathleen H</creator><general>Cold Spring Harbor Laboratory Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6459-3955</orcidid><orcidid>https://orcid.org/0000-0002-7015-8407</orcidid><orcidid>https://orcid.org/0000-0003-1620-3761</orcidid><orcidid>https://orcid.org/0000-0003-0929-9478</orcidid></search><sort><creationdate>20211201</creationdate><title>Alu insertion variants alter gene transcript levels</title><author>Payer, Lindsay M ; Steranka, Jared P ; Kryatova, Maria S ; Grillo, Giacomo ; Lupien, Mathieu ; Rocha, Pedro P ; Burns, Kathleen H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-f0cefe145c5f3363efdf49174dbc4bb89b6575aeb34dd90a498499dedb138a903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alu elements</topic><topic>Breast cancer</topic><topic>Copy number</topic><topic>CRISPR</topic><topic>Evolutionary genetics</topic><topic>Gene expression</topic><topic>Genotypes</topic><topic>Haplotypes</topic><topic>Myc protein</topic><topic>Quantitative trait loci</topic><topic>Regulatory sequences</topic><topic>Transcription</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Payer, Lindsay M</creatorcontrib><creatorcontrib>Steranka, Jared P</creatorcontrib><creatorcontrib>Kryatova, Maria S</creatorcontrib><creatorcontrib>Grillo, Giacomo</creatorcontrib><creatorcontrib>Lupien, Mathieu</creatorcontrib><creatorcontrib>Rocha, Pedro P</creatorcontrib><creatorcontrib>Burns, Kathleen H</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Payer, Lindsay M</au><au>Steranka, Jared P</au><au>Kryatova, Maria S</au><au>Grillo, Giacomo</au><au>Lupien, Mathieu</au><au>Rocha, Pedro P</au><au>Burns, Kathleen H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Alu insertion variants alter gene transcript levels</atitle><jtitle>Genome research</jtitle><addtitle>Genome Res</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>31</volume><issue>12</issue><spage>2236</spage><epage>2248</epage><pages>2236-2248</pages><issn>1088-9051</issn><eissn>1549-5469</eissn><abstract>are high copy number interspersed repeats that have accumulated near genes during primate and human evolution. They are a pervasive source of structural variation in modern humans. Impacts that
insertions may have on gene expression are not well understood, although some have been associated with expression quantitative trait loci (eQTLs). Here, we directly test regulatory effects of polymorphic
insertions in isolation of other variants on the same haplotype. To screen insertion variants for those with such effects, we used ectopic luciferase reporter assays and evaluated 110
insertion variants, including more than 40 with a potential role in disease risk. We observed a continuum of effects with significant outliers that up- or down-regulate luciferase activity. Using a series of reporter constructs, which included genomic context surrounding the
, we can distinguish between instances in which the
disrupts another regulator and those in which the
introduces new regulatory sequence. We next focused on three polymorphic
loci associated with breast cancer that display significant effects in the reporter assay. We used CRISPR to modify the endogenous sequences, establishing cell lines varying in the
genotype. Our findings indicate that
genotype can alter expression of genes implicated in cancer risk, including
,
, and
These data show that commonly occurring polymorphic
elements can alter transcript levels and potentially contribute to disease risk.</abstract><cop>United States</cop><pub>Cold Spring Harbor Laboratory Press</pub><pmid>34799402</pmid><doi>10.1101/gr.261305.120</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6459-3955</orcidid><orcidid>https://orcid.org/0000-0002-7015-8407</orcidid><orcidid>https://orcid.org/0000-0003-1620-3761</orcidid><orcidid>https://orcid.org/0000-0003-0929-9478</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alu elements Breast cancer Copy number CRISPR Evolutionary genetics Gene expression Genotypes Haplotypes Myc protein Quantitative trait loci Regulatory sequences Transcription |
title | Alu insertion variants alter gene transcript levels |
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