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...
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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 |
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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 & 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><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> |
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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 |
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