Association of prenatal exposure to opioids, cannabis, and polysubstance use with cord blood DNA methylation patterns in a multiancestry cohort Article Swipe
Henri M. Garrison‐Desany
,
Ellen M. Howerton
,
Xiumei Hong
,
Brion S. Maher
,
Colleen Pearson
,
Barry Zuckerman
,
Guoying Wang
,
M. Daniele Fallin
,
Terri H. Beaty
,
Liming Liang
,
Xiaobin Wang
,
Christine Ladd‐Acosta
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2231155/v1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2231155/v1
Background: Blood DNA methylation patterns are highly predictive of prenatal exposure to smoking and differential methylation has been associated with maternal alcohol use. We extended this to determine whether DNA methylation patterns in cord blood are associated with prenatal exposure to opioid, cannabis, and polysubstance use. We also evaluated whether DNA methylation patterns have predictive utility. Methods: We examined 932 mother-child pairs in the Boston Birth Cohort between 1998-2020 with cord blood DNA methylation and maternal substance use data. For each substance, we performed adjusted linear regression analysis at 865,859 CpG sites to identify related methylation changes. We generated scores using summary statistics for each exposure and assessed predictive ability using cross-validation and receiver operating characteristic curves. Specificity of methylation associations was evaluated by assessing overlap across exposure summary statistics, and using logistic regression for methylation scores, adjusted for concurrent use. Results: We identified methylation changes at 72, 21, and 1 novel CpG associated with prenatal exposure to opioids, cannabis, and polysubstance use respectively, at epigenome-wide significance (P<1e-6). Comparing CpGs across exposure groups and with previous consortia-generated summary statistics for smoking and alcohol revealed few overlapping CpGs across exposures. Methylation scores were highly predictive and exposure-specific, with area under the curve accuracy of 91% for opioids, 90% for cannabis, and 93%-98% depending on polysubstance number. Conclusion: We identified novel DNA methylation differences in cord blood associated with prenatal exposure and showed that methylation scores are highly predictive of substance exposures. These CpGs provide biologic insights for reducing the impact of substance exposure. These findings may serve as a biomarker of prenatal substance exposure for future studies and potential clinical utility.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2231155/v1
- https://www.researchsquare.com/article/rs-2231155/latest.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310794722
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4310794722Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-2231155/v1Digital Object Identifier
- Title
-
Association of prenatal exposure to opioids, cannabis, and polysubstance use with cord blood DNA methylation patterns in a multiancestry cohortWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-06Full publication date if available
- Authors
-
Henri M. Garrison‐Desany, Ellen M. Howerton, Xiumei Hong, Brion S. Maher, Colleen Pearson, Barry Zuckerman, Guoying Wang, M. Daniele Fallin, Terri H. Beaty, Liming Liang, Xiaobin Wang, Christine Ladd‐AcostaList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2231155/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-2231155/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-2231155/latest.pdfDirect OA link when available
- Concepts
-
Polysubstance dependence, DNA methylation, Methylation, Medicine, CpG site, Cord blood, Cohort, Cannabis, Logistic regression, Oncology, Internal medicine, Genetics, Psychiatry, Biology, Substance abuse, DNA, Gene, Gene expressionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
74Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4310794722 |
|---|---|
| doi | https://doi.org/10.21203/rs.3.rs-2231155/v1 |
| ids.doi | https://doi.org/10.21203/rs.3.rs-2231155/v1 |
| ids.openalex | https://openalex.org/W4310794722 |
| fwci | 0.90972161 |
| type | preprint |
| title | Association of prenatal exposure to opioids, cannabis, and polysubstance use with cord blood DNA methylation patterns in a multiancestry cohort |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11633 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2735 |
| topics[0].subfield.display_name | Pediatrics, Perinatology and Child Health |
| topics[0].display_name | Prenatal Substance Exposure Effects |
| topics[1].id | https://openalex.org/T10269 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9990000128746033 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Epigenetics and DNA Methylation |
| topics[2].id | https://openalex.org/T11629 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.989799976348877 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2735 |
| topics[2].subfield.display_name | Pediatrics, Perinatology and Child Health |
| topics[2].display_name | Birth, Development, and Health |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C121929971 |
| concepts[0].level | 3 |
| concepts[0].score | 0.9209156036376953 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7227004 |
| concepts[0].display_name | Polysubstance dependence |
| concepts[1].id | https://openalex.org/C190727270 |
| concepts[1].level | 4 |
| concepts[1].score | 0.8684647679328918 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q874745 |
| concepts[1].display_name | DNA methylation |
| concepts[2].id | https://openalex.org/C33288867 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6804393529891968 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q518328 |
| concepts[2].display_name | Methylation |
| concepts[3].id | https://openalex.org/C71924100 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6092140674591064 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[3].display_name | Medicine |
| concepts[4].id | https://openalex.org/C140173407 |
| concepts[4].level | 5 |
| concepts[4].score | 0.5945965647697449 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1138358 |
| concepts[4].display_name | CpG site |
| concepts[5].id | https://openalex.org/C2780914630 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5455467700958252 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q914952 |
| concepts[5].display_name | Cord blood |
| concepts[6].id | https://openalex.org/C72563966 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5196715593338013 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1303415 |
| concepts[6].display_name | Cohort |
| concepts[7].id | https://openalex.org/C2777056318 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5080864429473877 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q79817 |
| concepts[7].display_name | Cannabis |
| concepts[8].id | https://openalex.org/C151956035 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4297217130661011 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1132755 |
| concepts[8].display_name | Logistic regression |
| concepts[9].id | https://openalex.org/C143998085 |
| concepts[9].level | 1 |
| concepts[9].score | 0.37706881761550903 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q162555 |
| concepts[9].display_name | Oncology |
| concepts[10].id | https://openalex.org/C126322002 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3222426772117615 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[10].display_name | Internal medicine |
| concepts[11].id | https://openalex.org/C54355233 |
| concepts[11].level | 1 |
| concepts[11].score | 0.26734018325805664 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[11].display_name | Genetics |
| concepts[12].id | https://openalex.org/C118552586 |
| concepts[12].level | 1 |
| concepts[12].score | 0.2555335760116577 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7867 |
| concepts[12].display_name | Psychiatry |
| concepts[13].id | https://openalex.org/C86803240 |
| concepts[13].level | 0 |
| concepts[13].score | 0.22333654761314392 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[13].display_name | Biology |
| concepts[14].id | https://openalex.org/C40010229 |
| concepts[14].level | 2 |
| concepts[14].score | 0.19240286946296692 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q3184856 |
| concepts[14].display_name | Substance abuse |
| concepts[15].id | https://openalex.org/C552990157 |
| concepts[15].level | 2 |
| concepts[15].score | 0.12375909090042114 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7430 |
| concepts[15].display_name | DNA |
| concepts[16].id | https://openalex.org/C104317684 |
| concepts[16].level | 2 |
| concepts[16].score | 0.11251336336135864 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[16].display_name | Gene |
| concepts[17].id | https://openalex.org/C150194340 |
| concepts[17].level | 3 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q26972 |
| concepts[17].display_name | Gene expression |
| keywords[0].id | https://openalex.org/keywords/polysubstance-dependence |
| keywords[0].score | 0.9209156036376953 |
| keywords[0].display_name | Polysubstance dependence |
| keywords[1].id | https://openalex.org/keywords/dna-methylation |
| keywords[1].score | 0.8684647679328918 |
| keywords[1].display_name | DNA methylation |
| keywords[2].id | https://openalex.org/keywords/methylation |
| keywords[2].score | 0.6804393529891968 |
| keywords[2].display_name | Methylation |
| keywords[3].id | https://openalex.org/keywords/medicine |
| keywords[3].score | 0.6092140674591064 |
| keywords[3].display_name | Medicine |
| keywords[4].id | https://openalex.org/keywords/cpg-site |
| keywords[4].score | 0.5945965647697449 |
| keywords[4].display_name | CpG site |
| keywords[5].id | https://openalex.org/keywords/cord-blood |
| keywords[5].score | 0.5455467700958252 |
| keywords[5].display_name | Cord blood |
| keywords[6].id | https://openalex.org/keywords/cohort |
| keywords[6].score | 0.5196715593338013 |
| keywords[6].display_name | Cohort |
| keywords[7].id | https://openalex.org/keywords/cannabis |
| keywords[7].score | 0.5080864429473877 |
| keywords[7].display_name | Cannabis |
| keywords[8].id | https://openalex.org/keywords/logistic-regression |
| keywords[8].score | 0.4297217130661011 |
| keywords[8].display_name | Logistic regression |
| keywords[9].id | https://openalex.org/keywords/oncology |
| keywords[9].score | 0.37706881761550903 |
| keywords[9].display_name | Oncology |
| keywords[10].id | https://openalex.org/keywords/internal-medicine |
| keywords[10].score | 0.3222426772117615 |
| keywords[10].display_name | Internal medicine |
| keywords[11].id | https://openalex.org/keywords/genetics |
| keywords[11].score | 0.26734018325805664 |
| keywords[11].display_name | Genetics |
| keywords[12].id | https://openalex.org/keywords/psychiatry |
| keywords[12].score | 0.2555335760116577 |
| keywords[12].display_name | Psychiatry |
| keywords[13].id | https://openalex.org/keywords/biology |
| keywords[13].score | 0.22333654761314392 |
| keywords[13].display_name | Biology |
| keywords[14].id | https://openalex.org/keywords/substance-abuse |
| keywords[14].score | 0.19240286946296692 |
| keywords[14].display_name | Substance abuse |
| keywords[15].id | https://openalex.org/keywords/dna |
| keywords[15].score | 0.12375909090042114 |
| keywords[15].display_name | DNA |
| keywords[16].id | https://openalex.org/keywords/gene |
| keywords[16].score | 0.11251336336135864 |
| keywords[16].display_name | Gene |
| language | en |
| locations[0].id | doi:10.21203/rs.3.rs-2231155/v1 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.researchsquare.com/article/rs-2231155/latest.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.21203/rs.3.rs-2231155/v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5065634115 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4164-7065 |
| authorships[0].author.display_name | Henri M. Garrison‐Desany |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[0].affiliations[0].raw_affiliation_string | Johns Hopkins Bloomberg School of Public Health |
| authorships[0].institutions[0].id | https://openalex.org/I145311948 |
| authorships[0].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Johns Hopkins University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Henri Garrison-Desany |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Johns Hopkins Bloomberg School of Public Health |
| authorships[1].author.id | https://openalex.org/A5033265281 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2238-1954 |
| authorships[1].author.display_name | Ellen M. Howerton |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[1].affiliations[0].raw_affiliation_string | Johns Hopkins University |
| authorships[1].institutions[0].id | https://openalex.org/I145311948 |
| authorships[1].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Johns Hopkins University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Ellen Howerton |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Johns Hopkins University |
| authorships[2].author.id | https://openalex.org/A5053576816 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3992-1918 |
| authorships[2].author.display_name | Xiumei Hong |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[2].affiliations[0].raw_affiliation_string | Johns Hopkins University |
| authorships[2].institutions[0].id | https://openalex.org/I145311948 |
| authorships[2].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Johns Hopkins University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xiumei Hong |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Johns Hopkins University |
| authorships[3].author.id | https://openalex.org/A5024666744 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-9809-0064 |
| authorships[3].author.display_name | Brion S. Maher |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[3].affiliations[0].raw_affiliation_string | Johns Hopkins University |
| authorships[3].institutions[0].id | https://openalex.org/I145311948 |
| authorships[3].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Johns Hopkins University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Brion Maher |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Johns Hopkins University |
| authorships[4].author.id | https://openalex.org/A5056344196 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-6669-6774 |
| authorships[4].author.display_name | Colleen Pearson |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I111088046, https://openalex.org/I1286490081 |
| authorships[4].affiliations[0].raw_affiliation_string | Boston University School of Medicine and Boston Medical Center |
| authorships[4].institutions[0].id | https://openalex.org/I1286490081 |
| authorships[4].institutions[0].ror | https://ror.org/010b9wj87 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I1286490081 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Boston Medical Center |
| authorships[4].institutions[1].id | https://openalex.org/I111088046 |
| authorships[4].institutions[1].ror | https://ror.org/05qwgg493 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I111088046 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | Boston University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Colleen Pearson |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Boston University School of Medicine and Boston Medical Center |
| authorships[5].author.id | https://openalex.org/A5062958512 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-0044-2592 |
| authorships[5].author.display_name | Barry Zuckerman |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1286490081 |
| authorships[5].affiliations[0].raw_affiliation_string | Boston Medical Center |
| authorships[5].institutions[0].id | https://openalex.org/I1286490081 |
| authorships[5].institutions[0].ror | https://ror.org/010b9wj87 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I1286490081 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Boston Medical Center |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Barry Zuckerman |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Boston Medical Center |
| authorships[6].author.id | https://openalex.org/A5100745301 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-9423-8946 |
| authorships[6].author.display_name | Guoying Wang |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Guoying Wang |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5002407483 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-9948-3908 |
| authorships[7].author.display_name | M. Daniele Fallin |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I150468666 |
| authorships[7].affiliations[0].raw_affiliation_string | Emory University |
| authorships[7].institutions[0].id | https://openalex.org/I150468666 |
| authorships[7].institutions[0].ror | https://ror.org/03czfpz43 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I150468666 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | Emory University |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | M. Daniele Fallin |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Emory University |
| authorships[8].author.id | https://openalex.org/A5025950806 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-7644-1705 |
| authorships[8].author.display_name | Terri H. Beaty |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[8].affiliations[0].raw_affiliation_string | Johns Hopkins University |
| authorships[8].institutions[0].id | https://openalex.org/I145311948 |
| authorships[8].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | Johns Hopkins University |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Terri Beaty |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Johns Hopkins University |
| authorships[9].author.id | https://openalex.org/A5050464646 |
| authorships[9].author.orcid | https://orcid.org/0000-0001-8261-3174 |
| authorships[9].author.display_name | Liming Liang |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I2801851002 |
| authorships[9].affiliations[0].raw_affiliation_string | Harvard University |
| authorships[9].institutions[0].id | https://openalex.org/I2801851002 |
| authorships[9].institutions[0].ror | https://ror.org/006v7bf86 |
| authorships[9].institutions[0].type | other |
| authorships[9].institutions[0].lineage | https://openalex.org/I136199984, https://openalex.org/I2801851002 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | Harvard University Press |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Liming Liang |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Harvard University |
| authorships[10].author.id | https://openalex.org/A5100604908 |
| authorships[10].author.orcid | https://orcid.org/0000-0003-4451-302X |
| authorships[10].author.display_name | Xiaobin Wang |
| authorships[10].countries | US |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[10].affiliations[0].raw_affiliation_string | Johns Hopkins University Bloomberg School of Public Health |
| authorships[10].institutions[0].id | https://openalex.org/I145311948 |
| authorships[10].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[10].institutions[0].type | education |
| authorships[10].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[10].institutions[0].country_code | US |
| authorships[10].institutions[0].display_name | Johns Hopkins University |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Xiaobin Wang |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Johns Hopkins University Bloomberg School of Public Health |
| authorships[11].author.id | https://openalex.org/A5026159095 |
| authorships[11].author.orcid | https://orcid.org/0000-0002-7697-3998 |
| authorships[11].author.display_name | Christine Ladd‐Acosta |
| authorships[11].countries | US |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I145311948 |
| authorships[11].affiliations[0].raw_affiliation_string | Johns Hopkins University |
| authorships[11].institutions[0].id | https://openalex.org/I145311948 |
| authorships[11].institutions[0].ror | https://ror.org/00za53h95 |
| authorships[11].institutions[0].type | education |
| authorships[11].institutions[0].lineage | https://openalex.org/I145311948 |
| authorships[11].institutions[0].country_code | US |
| authorships[11].institutions[0].display_name | Johns Hopkins University |
| authorships[11].author_position | last |
| authorships[11].raw_author_name | Christine Ladd-Acosta |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Johns Hopkins University |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.researchsquare.com/article/rs-2231155/latest.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Association of prenatal exposure to opioids, cannabis, and polysubstance use with cord blood DNA methylation patterns in a multiancestry cohort |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11633 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2735 |
| primary_topic.subfield.display_name | Pediatrics, Perinatology and Child Health |
| primary_topic.display_name | Prenatal Substance Exposure Effects |
| related_works | https://openalex.org/W2154226111, https://openalex.org/W3122564862, https://openalex.org/W1964869113, https://openalex.org/W4281726907, https://openalex.org/W2169344098, https://openalex.org/W2944524138, https://openalex.org/W2364944693, https://openalex.org/W2123238153, https://openalex.org/W2582088144, https://openalex.org/W4200236841 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21203/rs.3.rs-2231155/v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.researchsquare.com/article/rs-2231155/latest.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-2231155/v1 |
| primary_location.id | doi:10.21203/rs.3.rs-2231155/v1 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.researchsquare.com/article/rs-2231155/latest.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-2231155/v1 |
| publication_date | 2022-12-06 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3016956109, https://openalex.org/W3040070355, https://openalex.org/W2171100798, https://openalex.org/W1978615510, https://openalex.org/W2610015554, https://openalex.org/W1970187165, https://openalex.org/W2149313104, https://openalex.org/W2039675644, https://openalex.org/W2168728317, https://openalex.org/W2905098292, https://openalex.org/W2955808943, https://openalex.org/W4220733338, https://openalex.org/W2013398413, https://openalex.org/W2920451966, https://openalex.org/W2048346986, https://openalex.org/W3198768648, https://openalex.org/W2301647761, https://openalex.org/W2070956589, https://openalex.org/W2341251987, https://openalex.org/W1856565748, https://openalex.org/W2330784827, https://openalex.org/W2022484411, https://openalex.org/W2768798314, https://openalex.org/W2467232971, https://openalex.org/W2387292955, https://openalex.org/W2102177999, https://openalex.org/W2953074246, https://openalex.org/W2886735328, https://openalex.org/W2325055448, https://openalex.org/W2921370843, https://openalex.org/W2956671755, https://openalex.org/W2752861634, https://openalex.org/W2794143603, https://openalex.org/W3156639829, https://openalex.org/W3018202073, https://openalex.org/W2970869615, https://openalex.org/W2666683655, https://openalex.org/W2218172589, https://openalex.org/W2023816484, https://openalex.org/W2028575110, https://openalex.org/W3191430951, https://openalex.org/W2950848789, https://openalex.org/W3173951200, https://openalex.org/W2280484307, https://openalex.org/W2344375774, https://openalex.org/W2974663518, https://openalex.org/W2796056996, https://openalex.org/W2009020864, https://openalex.org/W2159422401, https://openalex.org/W2969948861, https://openalex.org/W3049430208, https://openalex.org/W3026739260, https://openalex.org/W2060776482, https://openalex.org/W2979867677, https://openalex.org/W2740005909, https://openalex.org/W2141693119, https://openalex.org/W3114344462, https://openalex.org/W2613175112, https://openalex.org/W2140112081, https://openalex.org/W1898162912, https://openalex.org/W2150696250, https://openalex.org/W2949394214, https://openalex.org/W2794255847, https://openalex.org/W2970347863, https://openalex.org/W4317567272, https://openalex.org/W2586548026, https://openalex.org/W2567721002, https://openalex.org/W2169353806, https://openalex.org/W2101870168, https://openalex.org/W2970502399, https://openalex.org/W2099437253, https://openalex.org/W2146512944, https://openalex.org/W2115937056, https://openalex.org/W2123162799 |
| referenced_works_count | 74 |
| abstract_inverted_index.1 | 151 |
| abstract_inverted_index.a | 258 |
| abstract_inverted_index.We | 24, 47, 58, 98, 143, 217 |
| abstract_inverted_index.as | 257 |
| abstract_inverted_index.at | 89, 147, 165 |
| abstract_inverted_index.by | 124 |
| abstract_inverted_index.in | 33, 63, 223 |
| abstract_inverted_index.of | 9, 119, 203, 238, 250, 260 |
| abstract_inverted_index.on | 213 |
| abstract_inverted_index.to | 12, 27, 41, 93, 158 |
| abstract_inverted_index.we | 83 |
| abstract_inverted_index.21, | 149 |
| abstract_inverted_index.72, | 148 |
| abstract_inverted_index.90% | 207 |
| abstract_inverted_index.91% | 204 |
| abstract_inverted_index.932 | 60 |
| abstract_inverted_index.CpG | 91, 153 |
| abstract_inverted_index.DNA | 3, 30, 51, 73, 220 |
| abstract_inverted_index.For | 80 |
| abstract_inverted_index.and | 14, 44, 75, 107, 113, 131, 150, 161, 174, 182, 195, 210, 230, 267 |
| abstract_inverted_index.are | 6, 36, 235 |
| abstract_inverted_index.few | 185 |
| abstract_inverted_index.for | 104, 135, 139, 180, 205, 208, 246, 264 |
| abstract_inverted_index.has | 17 |
| abstract_inverted_index.may | 255 |
| abstract_inverted_index.the | 64, 200, 248 |
| abstract_inverted_index.use | 78, 163 |
| abstract_inverted_index.was | 122 |
| abstract_inverted_index.CpGs | 170, 187, 242 |
| abstract_inverted_index.also | 48 |
| abstract_inverted_index.area | 198 |
| abstract_inverted_index.been | 18 |
| abstract_inverted_index.cord | 34, 71, 224 |
| abstract_inverted_index.each | 81, 105 |
| abstract_inverted_index.have | 54 |
| abstract_inverted_index.that | 232 |
| abstract_inverted_index.this | 26 |
| abstract_inverted_index.use. | 23, 46, 141 |
| abstract_inverted_index.were | 192 |
| abstract_inverted_index.with | 20, 38, 70, 155, 175, 197, 227 |
| abstract_inverted_index.Birth | 66 |
| abstract_inverted_index.Blood | 2 |
| abstract_inverted_index.These | 241, 253 |
| abstract_inverted_index.blood | 35, 72, 225 |
| abstract_inverted_index.curve | 201 |
| abstract_inverted_index.data. | 79 |
| abstract_inverted_index.novel | 152, 219 |
| abstract_inverted_index.pairs | 62 |
| abstract_inverted_index.serve | 256 |
| abstract_inverted_index.sites | 92 |
| abstract_inverted_index.under | 199 |
| abstract_inverted_index.using | 101, 111, 132 |
| abstract_inverted_index.Boston | 65 |
| abstract_inverted_index.Cohort | 67 |
| abstract_inverted_index.across | 127, 171, 188 |
| abstract_inverted_index.future | 265 |
| abstract_inverted_index.groups | 173 |
| abstract_inverted_index.highly | 7, 193, 236 |
| abstract_inverted_index.impact | 249 |
| abstract_inverted_index.linear | 86 |
| abstract_inverted_index.scores | 100, 191, 234 |
| abstract_inverted_index.showed | 231 |
| abstract_inverted_index.865,859 | 90 |
| abstract_inverted_index.93%-98% | 211 |
| abstract_inverted_index.ability | 110 |
| abstract_inverted_index.alcohol | 22, 183 |
| abstract_inverted_index.between | 68 |
| abstract_inverted_index.changes | 146 |
| abstract_inverted_index.curves. | 117 |
| abstract_inverted_index.number. | 215 |
| abstract_inverted_index.opioid, | 42 |
| abstract_inverted_index.overlap | 126 |
| abstract_inverted_index.provide | 243 |
| abstract_inverted_index.related | 95 |
| abstract_inverted_index.scores, | 137 |
| abstract_inverted_index.smoking | 13, 181 |
| abstract_inverted_index.studies | 266 |
| abstract_inverted_index.summary | 102, 129, 178 |
| abstract_inverted_index.whether | 29, 50 |
| abstract_inverted_index.accuracy | 202 |
| abstract_inverted_index.adjusted | 85, 138 |
| abstract_inverted_index.analysis | 88 |
| abstract_inverted_index.assessed | 108 |
| abstract_inverted_index.biologic | 244 |
| abstract_inverted_index.changes. | 97 |
| abstract_inverted_index.clinical | 269 |
| abstract_inverted_index.examined | 59 |
| abstract_inverted_index.exposure | 11, 40, 106, 128, 157, 172, 229, 263 |
| abstract_inverted_index.extended | 25 |
| abstract_inverted_index.findings | 254 |
| abstract_inverted_index.identify | 94 |
| abstract_inverted_index.insights | 245 |
| abstract_inverted_index.logistic | 133 |
| abstract_inverted_index.maternal | 21, 76 |
| abstract_inverted_index.opioids, | 159, 206 |
| abstract_inverted_index.patterns | 5, 32, 53 |
| abstract_inverted_index.prenatal | 10, 39, 156, 228, 261 |
| abstract_inverted_index.previous | 176 |
| abstract_inverted_index.receiver | 114 |
| abstract_inverted_index.reducing | 247 |
| abstract_inverted_index.revealed | 184 |
| abstract_inverted_index.utility. | 56, 270 |
| abstract_inverted_index.1998-2020 | 69 |
| abstract_inverted_index.Comparing | 169 |
| abstract_inverted_index.assessing | 125 |
| abstract_inverted_index.biomarker | 259 |
| abstract_inverted_index.cannabis, | 43, 160, 209 |
| abstract_inverted_index.depending | 212 |
| abstract_inverted_index.determine | 28 |
| abstract_inverted_index.evaluated | 49, 123 |
| abstract_inverted_index.exposure. | 252 |
| abstract_inverted_index.generated | 99 |
| abstract_inverted_index.operating | 115 |
| abstract_inverted_index.performed | 84 |
| abstract_inverted_index.potential | 268 |
| abstract_inverted_index.substance | 77, 239, 251, 262 |
| abstract_inverted_index.associated | 19, 37, 154, 226 |
| abstract_inverted_index.concurrent | 140 |
| abstract_inverted_index.exposures. | 189, 240 |
| abstract_inverted_index.identified | 144, 218 |
| abstract_inverted_index.predictive | 8, 55, 109, 194, 237 |
| abstract_inverted_index.regression | 87, 134 |
| abstract_inverted_index.statistics | 103, 179 |
| abstract_inverted_index.substance, | 82 |
| abstract_inverted_index.Methylation | 190 |
| abstract_inverted_index.Specificity | 118 |
| abstract_inverted_index.differences | 222 |
| abstract_inverted_index.methylation | 4, 16, 31, 52, 74, 96, 120, 136, 145, 221, 233 |
| abstract_inverted_index.overlapping | 186 |
| abstract_inverted_index.statistics, | 130 |
| abstract_inverted_index.(P<1e-6). | 168 |
| abstract_inverted_index.associations | 121 |
| abstract_inverted_index.differential | 15 |
| abstract_inverted_index.mother-child | 61 |
| abstract_inverted_index.significance | 167 |
| abstract_inverted_index.polysubstance | 45, 162, 214 |
| abstract_inverted_index.respectively, | 164 |
| abstract_inverted_index.characteristic | 116 |
| abstract_inverted_index.epigenome-wide | 166 |
| abstract_inverted_index.cross-validation | 112 |
| abstract_inverted_index.exposure-specific, | 196 |
| abstract_inverted_index.consortia-generated | 177 |
| abstract_inverted_index.<bold>Methods</bold>: | 57 |
| abstract_inverted_index.<bold>Results</bold>: | 142 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| abstract_inverted_index.<bold>Background</bold>: | 1 |
| abstract_inverted_index.<bold>Conclusion</bold>: | 216 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8899999856948853 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.66581081 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |