Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach
Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a prospective cohort consisting ART and spontaneously conceived children. Small differences in stature and growth could not be explained by parental or perinatal environment factors, nor differences in fe...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-25899-4 |
| _version_ | 1818858365666721792 |
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| author | Jonathan Yinhao Huang Shirong Cai Zhongwei Huang Mya Thway Tint Wen Lun Yuan Izzuddin M. Aris Keith M. Godfrey Neerja Karnani Yung Seng Lee Jerry Kok Yen Chan Yap Seng Chong Johan Gunnar Eriksson Shiao-Yng Chan |
| author_facet | Jonathan Yinhao Huang Shirong Cai Zhongwei Huang Mya Thway Tint Wen Lun Yuan Izzuddin M. Aris Keith M. Godfrey Neerja Karnani Yung Seng Lee Jerry Kok Yen Chan Yap Seng Chong Johan Gunnar Eriksson Shiao-Yng Chan |
| author_sort | Jonathan Yinhao Huang |
| collection | DOAJ |
| description | Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a prospective cohort consisting ART and spontaneously conceived children. Small differences in stature and growth could not be explained by parental or perinatal environment factors, nor differences in fetal DNA methylation. No strong differences in metabolic parameters were seen. |
| first_indexed | 2024-12-19T08:55:08Z |
| format | Article |
| id | doaj.art-0dcc6959279147e19b2fae8d5e9574cb |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T08:55:08Z |
| publishDate | 2021-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-0dcc6959279147e19b2fae8d5e9574cb2022-12-21T20:28:37ZengNature PortfolioNature Communications2041-17232021-09-0112111610.1038/s41467-021-25899-4Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approachJonathan Yinhao Huang0Shirong Cai1Zhongwei Huang2Mya Thway Tint3Wen Lun Yuan4Izzuddin M. Aris5Keith M. Godfrey6Neerja Karnani7Yung Seng Lee8Jerry Kok Yen Chan9Yap Seng Chong10Johan Gunnar Eriksson11Shiao-Yng Chan12Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of SingaporeSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care InstituteMRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital SouthamptonSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Department of Reproductive Medicine, KK Women’s and Children’s HospitalSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR)Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a prospective cohort consisting ART and spontaneously conceived children. Small differences in stature and growth could not be explained by parental or perinatal environment factors, nor differences in fetal DNA methylation. No strong differences in metabolic parameters were seen.https://doi.org/10.1038/s41467-021-25899-4 |
| spellingShingle | Jonathan Yinhao Huang Shirong Cai Zhongwei Huang Mya Thway Tint Wen Lun Yuan Izzuddin M. Aris Keith M. Godfrey Neerja Karnani Yung Seng Lee Jerry Kok Yen Chan Yap Seng Chong Johan Gunnar Eriksson Shiao-Yng Chan Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach Nature Communications |
| title | Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| title_full | Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| title_fullStr | Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| title_full_unstemmed | Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| title_short | Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| title_sort | analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
| url | https://doi.org/10.1038/s41467-021-25899-4 |
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