Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy

Purpose Maternal diabetes is a known teratogen that can cause a wide spectrum of birth defects, collectively referred to as diabetic embryopathy (DE). However, the pathogenic mechanisms underlying DE remain uncertain and there are no definitive tests to establish the diagnosis. Here, we explore the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Genetics in medicine 2019-11, Vol.21 (11), p.2453-2461
Hauptverfasser: Schulze, Katharina V., Bhatt, Amit, Azamian, Mahshid S., Sundgren, Nathan C., Zapata, Gladys E., Hernandez, Patricia, Fox, Karin, Kaiser, Jeffrey R., Belmont, John W., Hanchard, Neil A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2461
container_issue 11
container_start_page 2453
container_title Genetics in medicine
container_volume 21
creator Schulze, Katharina V.
Bhatt, Amit
Azamian, Mahshid S.
Sundgren, Nathan C.
Zapata, Gladys E.
Hernandez, Patricia
Fox, Karin
Kaiser, Jeffrey R.
Belmont, John W.
Hanchard, Neil A.
description Purpose Maternal diabetes is a known teratogen that can cause a wide spectrum of birth defects, collectively referred to as diabetic embryopathy (DE). However, the pathogenic mechanisms underlying DE remain uncertain and there are no definitive tests to establish the diagnosis. Here, we explore the potential of DNA methylation as a diagnostic biomarker for DE and to inform disease pathogenesis. Methods Bisulfite sequencing was used to identify gene regions with differential methylation between DE neonates and healthy infants born with or without prenatal exposure to maternal diabetes, and to investigate the role of allele-specific methylation at implicated sites. Results We identified a methylation signature consisting of 237 differentially methylated loci that distinguished infants with DE from control infants. These loci were found proximal to genes associated with Mendelian syndromes that overlap the DE phenotype (e.g., CACNA1C , TRIO , ANKRD11 ) or genes known to influence embryonic development (e.g., BRAX1 , RASA3 ). Further, we identified allele-specific methylation (ASM) at 11 of these loci, within which 61.5% of ASM single-nucleotide variants are known expression quantitative trait loci (eQTLs). Conclusions Our study suggests a role for aberrant DNA methylation and cis- sequence variation in the pathogenesis of DE and highlights the diagnostic potential of DNA methylation for teratogenic birth defects.
doi_str_mv 10.1038/s41436-019-0516-z
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2312256825</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2312256825</sourcerecordid><originalsourceid>FETCH-LOGICAL-c481t-e98f4932354964a840596949eaa16c773cafe07c30250c1211802d71f6971fd23</originalsourceid><addsrcrecordid>eNp1kD9PwzAQxS0EolD4ACwoErPhzo6deKzKf1WwwGw5iVNSmrjY6dB-ehy1wMTis-7ee6f7EXKBcI3A85uQYsolBVQUBEq6PSAnKDhQ4FIexj-onHIJMCKnISwAMOMMjsmIg1JMCDwhz5PCem-6Prl9mSSt7T82S9M3rktMSExSNWbeudA3ZVI0rjX-0_rE1UO_sEPXtoXfuJWJvjNyVJtlsOf7Oibv93dv00c6e314mk5mtExz7KlVeZ0qzrhIlUxNnoJQUqXKGoOyzDJemtpCVnJgAkpkiDmwKsNaqvhUjI_J1S535d3X2oZeL9zad3GlZhwZEzJnIqpwpyq9C8HbWq98Ew_YaAQ90NM7ejrS0wM9vY2ey33yumht9ev4wRUFbCcIcdTNrf9b_X_qN6fJeP0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2312256825</pqid></control><display><type>article</type><title>Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>ProQuest Central UK/Ireland</source><source>Alma/SFX Local Collection</source><creator>Schulze, Katharina V. ; Bhatt, Amit ; Azamian, Mahshid S. ; Sundgren, Nathan C. ; Zapata, Gladys E. ; Hernandez, Patricia ; Fox, Karin ; Kaiser, Jeffrey R. ; Belmont, John W. ; Hanchard, Neil A.</creator><creatorcontrib>Schulze, Katharina V. ; Bhatt, Amit ; Azamian, Mahshid S. ; Sundgren, Nathan C. ; Zapata, Gladys E. ; Hernandez, Patricia ; Fox, Karin ; Kaiser, Jeffrey R. ; Belmont, John W. ; Hanchard, Neil A.</creatorcontrib><description>Purpose Maternal diabetes is a known teratogen that can cause a wide spectrum of birth defects, collectively referred to as diabetic embryopathy (DE). However, the pathogenic mechanisms underlying DE remain uncertain and there are no definitive tests to establish the diagnosis. Here, we explore the potential of DNA methylation as a diagnostic biomarker for DE and to inform disease pathogenesis. Methods Bisulfite sequencing was used to identify gene regions with differential methylation between DE neonates and healthy infants born with or without prenatal exposure to maternal diabetes, and to investigate the role of allele-specific methylation at implicated sites. Results We identified a methylation signature consisting of 237 differentially methylated loci that distinguished infants with DE from control infants. These loci were found proximal to genes associated with Mendelian syndromes that overlap the DE phenotype (e.g., CACNA1C , TRIO , ANKRD11 ) or genes known to influence embryonic development (e.g., BRAX1 , RASA3 ). Further, we identified allele-specific methylation (ASM) at 11 of these loci, within which 61.5% of ASM single-nucleotide variants are known expression quantitative trait loci (eQTLs). Conclusions Our study suggests a role for aberrant DNA methylation and cis- sequence variation in the pathogenesis of DE and highlights the diagnostic potential of DNA methylation for teratogenic birth defects.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/s41436-019-0516-z</identifier><identifier>PMID: 30992551</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Alleles ; Biomarkers ; Biomedical and Life Sciences ; Biomedicine ; Birth defects ; CpG Islands - genetics ; Deoxyribonucleic acid ; Diabetes ; Diabetes Complications - genetics ; Diabetes Mellitus - embryology ; Diabetes Mellitus - genetics ; DNA ; DNA methylation ; DNA Methylation - genetics ; Female ; Fetal Diseases - genetics ; Genome-Wide Association Study ; Human Genetics ; Humans ; Infant ; Infant, Newborn ; Laboratory Medicine ; Pathogenesis ; Polymorphism, Single Nucleotide - genetics ; Pregnancy ; Prenatal exposure ; Quantitative Trait Loci - genetics</subject><ispartof>Genetics in medicine, 2019-11, Vol.21 (11), p.2453-2461</ispartof><rights>American College of Medical Genetics and Genomics 2019</rights><rights>American College of Medical Genetics and Genomics 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-e98f4932354964a840596949eaa16c773cafe07c30250c1211802d71f6971fd23</citedby><cites>FETCH-LOGICAL-c481t-e98f4932354964a840596949eaa16c773cafe07c30250c1211802d71f6971fd23</cites><orcidid>0000-0001-8268-5565</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2312256825?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,64364,64368,72218</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30992551$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schulze, Katharina V.</creatorcontrib><creatorcontrib>Bhatt, Amit</creatorcontrib><creatorcontrib>Azamian, Mahshid S.</creatorcontrib><creatorcontrib>Sundgren, Nathan C.</creatorcontrib><creatorcontrib>Zapata, Gladys E.</creatorcontrib><creatorcontrib>Hernandez, Patricia</creatorcontrib><creatorcontrib>Fox, Karin</creatorcontrib><creatorcontrib>Kaiser, Jeffrey R.</creatorcontrib><creatorcontrib>Belmont, John W.</creatorcontrib><creatorcontrib>Hanchard, Neil A.</creatorcontrib><title>Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Purpose Maternal diabetes is a known teratogen that can cause a wide spectrum of birth defects, collectively referred to as diabetic embryopathy (DE). However, the pathogenic mechanisms underlying DE remain uncertain and there are no definitive tests to establish the diagnosis. Here, we explore the potential of DNA methylation as a diagnostic biomarker for DE and to inform disease pathogenesis. Methods Bisulfite sequencing was used to identify gene regions with differential methylation between DE neonates and healthy infants born with or without prenatal exposure to maternal diabetes, and to investigate the role of allele-specific methylation at implicated sites. Results We identified a methylation signature consisting of 237 differentially methylated loci that distinguished infants with DE from control infants. These loci were found proximal to genes associated with Mendelian syndromes that overlap the DE phenotype (e.g., CACNA1C , TRIO , ANKRD11 ) or genes known to influence embryonic development (e.g., BRAX1 , RASA3 ). Further, we identified allele-specific methylation (ASM) at 11 of these loci, within which 61.5% of ASM single-nucleotide variants are known expression quantitative trait loci (eQTLs). Conclusions Our study suggests a role for aberrant DNA methylation and cis- sequence variation in the pathogenesis of DE and highlights the diagnostic potential of DNA methylation for teratogenic birth defects.</description><subject>Alleles</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Birth defects</subject><subject>CpG Islands - genetics</subject><subject>Deoxyribonucleic acid</subject><subject>Diabetes</subject><subject>Diabetes Complications - genetics</subject><subject>Diabetes Mellitus - embryology</subject><subject>Diabetes Mellitus - genetics</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA Methylation - genetics</subject><subject>Female</subject><subject>Fetal Diseases - genetics</subject><subject>Genome-Wide Association Study</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Laboratory Medicine</subject><subject>Pathogenesis</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Pregnancy</subject><subject>Prenatal exposure</subject><subject>Quantitative Trait Loci - genetics</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kD9PwzAQxS0EolD4ACwoErPhzo6deKzKf1WwwGw5iVNSmrjY6dB-ehy1wMTis-7ee6f7EXKBcI3A85uQYsolBVQUBEq6PSAnKDhQ4FIexj-onHIJMCKnISwAMOMMjsmIg1JMCDwhz5PCem-6Prl9mSSt7T82S9M3rktMSExSNWbeudA3ZVI0rjX-0_rE1UO_sEPXtoXfuJWJvjNyVJtlsOf7Oibv93dv00c6e314mk5mtExz7KlVeZ0qzrhIlUxNnoJQUqXKGoOyzDJemtpCVnJgAkpkiDmwKsNaqvhUjI_J1S535d3X2oZeL9zad3GlZhwZEzJnIqpwpyq9C8HbWq98Ew_YaAQ90NM7ejrS0wM9vY2ey33yumht9ev4wRUFbCcIcdTNrf9b_X_qN6fJeP0</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Schulze, Katharina V.</creator><creator>Bhatt, Amit</creator><creator>Azamian, Mahshid S.</creator><creator>Sundgren, Nathan C.</creator><creator>Zapata, Gladys E.</creator><creator>Hernandez, Patricia</creator><creator>Fox, Karin</creator><creator>Kaiser, Jeffrey R.</creator><creator>Belmont, John W.</creator><creator>Hanchard, Neil A.</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><orcidid>https://orcid.org/0000-0001-8268-5565</orcidid></search><sort><creationdate>20191101</creationdate><title>Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy</title><author>Schulze, Katharina V. ; Bhatt, Amit ; Azamian, Mahshid S. ; Sundgren, Nathan C. ; Zapata, Gladys E. ; Hernandez, Patricia ; Fox, Karin ; Kaiser, Jeffrey R. ; Belmont, John W. ; Hanchard, Neil A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-e98f4932354964a840596949eaa16c773cafe07c30250c1211802d71f6971fd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alleles</topic><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Birth defects</topic><topic>CpG Islands - genetics</topic><topic>Deoxyribonucleic acid</topic><topic>Diabetes</topic><topic>Diabetes Complications - genetics</topic><topic>Diabetes Mellitus - embryology</topic><topic>Diabetes Mellitus - genetics</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>DNA Methylation - genetics</topic><topic>Female</topic><topic>Fetal Diseases - genetics</topic><topic>Genome-Wide Association Study</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Laboratory Medicine</topic><topic>Pathogenesis</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Pregnancy</topic><topic>Prenatal exposure</topic><topic>Quantitative Trait Loci - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schulze, Katharina V.</creatorcontrib><creatorcontrib>Bhatt, Amit</creatorcontrib><creatorcontrib>Azamian, Mahshid S.</creatorcontrib><creatorcontrib>Sundgren, Nathan C.</creatorcontrib><creatorcontrib>Zapata, Gladys E.</creatorcontrib><creatorcontrib>Hernandez, Patricia</creatorcontrib><creatorcontrib>Fox, Karin</creatorcontrib><creatorcontrib>Kaiser, Jeffrey R.</creatorcontrib><creatorcontrib>Belmont, John W.</creatorcontrib><creatorcontrib>Hanchard, Neil A.</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 &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Health &amp; 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><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schulze, Katharina V.</au><au>Bhatt, Amit</au><au>Azamian, Mahshid S.</au><au>Sundgren, Nathan C.</au><au>Zapata, Gladys E.</au><au>Hernandez, Patricia</au><au>Fox, Karin</au><au>Kaiser, Jeffrey R.</au><au>Belmont, John W.</au><au>Hanchard, Neil A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>21</volume><issue>11</issue><spage>2453</spage><epage>2461</epage><pages>2453-2461</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Purpose Maternal diabetes is a known teratogen that can cause a wide spectrum of birth defects, collectively referred to as diabetic embryopathy (DE). However, the pathogenic mechanisms underlying DE remain uncertain and there are no definitive tests to establish the diagnosis. Here, we explore the potential of DNA methylation as a diagnostic biomarker for DE and to inform disease pathogenesis. Methods Bisulfite sequencing was used to identify gene regions with differential methylation between DE neonates and healthy infants born with or without prenatal exposure to maternal diabetes, and to investigate the role of allele-specific methylation at implicated sites. Results We identified a methylation signature consisting of 237 differentially methylated loci that distinguished infants with DE from control infants. These loci were found proximal to genes associated with Mendelian syndromes that overlap the DE phenotype (e.g., CACNA1C , TRIO , ANKRD11 ) or genes known to influence embryonic development (e.g., BRAX1 , RASA3 ). Further, we identified allele-specific methylation (ASM) at 11 of these loci, within which 61.5% of ASM single-nucleotide variants are known expression quantitative trait loci (eQTLs). Conclusions Our study suggests a role for aberrant DNA methylation and cis- sequence variation in the pathogenesis of DE and highlights the diagnostic potential of DNA methylation for teratogenic birth defects.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>30992551</pmid><doi>10.1038/s41436-019-0516-z</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8268-5565</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1098-3600
ispartof Genetics in medicine, 2019-11, Vol.21 (11), p.2453-2461
issn 1098-3600
1530-0366
language eng
recordid cdi_proquest_journals_2312256825
source MEDLINE; EZB-FREE-00999 freely available EZB journals; ProQuest Central UK/Ireland; Alma/SFX Local Collection
subjects Alleles
Biomarkers
Biomedical and Life Sciences
Biomedicine
Birth defects
CpG Islands - genetics
Deoxyribonucleic acid
Diabetes
Diabetes Complications - genetics
Diabetes Mellitus - embryology
Diabetes Mellitus - genetics
DNA
DNA methylation
DNA Methylation - genetics
Female
Fetal Diseases - genetics
Genome-Wide Association Study
Human Genetics
Humans
Infant
Infant, Newborn
Laboratory Medicine
Pathogenesis
Polymorphism, Single Nucleotide - genetics
Pregnancy
Prenatal exposure
Quantitative Trait Loci - genetics
title Aberrant DNA methylation as a diagnostic biomarker of diabetic embryopathy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T02%3A41%3A26IST&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=Aberrant%20DNA%20methylation%20as%20a%20diagnostic%20biomarker%20of%20diabetic%20embryopathy&rft.jtitle=Genetics%20in%20medicine&rft.au=Schulze,%20Katharina%20V.&rft.date=2019-11-01&rft.volume=21&rft.issue=11&rft.spage=2453&rft.epage=2461&rft.pages=2453-2461&rft.issn=1098-3600&rft.eissn=1530-0366&rft_id=info:doi/10.1038/s41436-019-0516-z&rft_dat=%3Cproquest_cross%3E2312256825%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=2312256825&rft_id=info:pmid/30992551&rfr_iscdi=true