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...
Guardado en:
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0dcc6959279147e19b2fae8d5e9574cb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0dcc6959279147e19b2fae8d5e9574cb |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0dcc6959279147e19b2fae8d5e9574cb2021-12-02T18:14:23ZAnalyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach10.1038/s41467-021-25899-42041-1723https://doaj.org/article/0dcc6959279147e19b2fae8d5e9574cb2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25899-4https://doaj.org/toc/2041-1723Huang 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.Jonathan Yinhao HuangShirong CaiZhongwei HuangMya Thway TintWen Lun YuanIzzuddin M. ArisKeith M. GodfreyNeerja KarnaniYung Seng LeeJerry Kok Yen ChanYap Seng ChongJohan Gunnar ErikssonShiao-Yng ChanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q 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 |
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. |
format |
article |
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 |
title |
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_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_sort |
analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/0dcc6959279147e19b2fae8d5e9574cb |
work_keys_str_mv |
AT jonathanyinhaohuang analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT shirongcai analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT zhongweihuang analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT myathwaytint analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT wenlunyuan analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT izzuddinmaris analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT keithmgodfrey analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT neerjakarnani analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT yungsenglee analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT jerrykokyenchan analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT yapsengchong analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT johangunnareriksson analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach AT shiaoyngchan analysesofchildcardiometabolicphenotypefollowingassistedreproductivetechnologiesusingapragmatictrialemulationapproach |
_version_ |
1718378375969505280 |