作者
Anna K Knight, Jeffrey M Craig, Christiane Theda, Marie Bækvad-Hansen, Jonas Bybjerg-Grauholm, Christine S Hansen, Mads V Hollegaard, David M Hougaard, Preben B Mortensen, Shantel M Weinsheimer, Thomas M Werge, Patricia A Brennan, Joseph F Cubells, D Jeffrey Newport, Zachary N Stowe, Jeanie LY Cheong, Philippa Dalach, Lex W Doyle, Yuk J Loke, Andrea A Baccarelli, Allan C Just, Robert O Wright, Mara M Téllez-Rojo, Katherine Svensson, Letizia Trevisi, Elizabeth M Kennedy, Elisabeth B Binder, Stella Iurato, Darina Czamara, Katri Räikkönen, Jari MT Lahti, Anu-Katriina Pesonen, Eero Kajantie, Pia M Villa, Hannele Laivuori, Esa Hämäläinen, Hea Jin Park, Lynn B Bailey, Sasha E Parets, Varun Kilaru, Ramkumar Menon, Steve Horvath, Nicole R Bush, Kaja Z LeWinn, Frances A Tylavsky, Karen N Conneely, Alicia K Smith
发表日期
2016/12
期刊
Genome biology
卷号
17
页码范围
1-11
出版商
BioMed Central
简介
Background
Gestational age is often used as a proxy for developmental maturity by clinicians and researchers alike. DNA methylation has previously been shown to be associated with age and has been used to accurately estimate chronological age in children and adults. In the current study, we examine whether DNA methylation in cord blood can be used to estimate gestational age at birth.
Results
We find that gestational age can be accurately estimated from DNA methylation of neonatal cord blood and blood spot samples. We calculate a DNA methylation gestational age using 148 CpG sites selected through elastic net regression in six training datasets. We evaluate predictive accuracy in nine testing datasets and find that the accuracy of the DNA methylation gestational age is consistent with that of gestational age estimates based on established …
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AK Knight, JM Craig, C Theda, M Bækvad-Hansen… - Genome biology, 2016