Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy.

Junichi SugawaraDaisuke OchiRiu YamashitaTakafumi YamauchiDaisuke SaigusaMaiko WagataTaku ObaraMami IshikuroYoshiki TsunemotoYuki HaradaTomoko ShibataTakahiro MimoriJunko KawashimaFumiki KatsuokaTakako Igarashi-TakaiSoichi OgishimaHirohito MetokiHiroaki HashizumeNobuo FuseNaoko MinegishiSeizo KoshibaOsamu TanabeShinichi KuriyamaKengo KinoshitaShigeo KureNobuo YaegashiMasayuki YamamotoSatoshi HiyamaMasao Nagasaki

Published in: BMJ open (2019)

Lifelog and multiomics data will be used to construct a time-course high-resolution reference catalogue of pregnancy. The reference catalogue will allow us to discover relationships among multidimensional phenotypes and novel risk markers in pregnancy for the future personalised early prediction of pregnancy complications.

Keyphrases

preterm birth
pregnancy outcomes
high resolution
mass spectrometry
electronic health record
big data