2020
DOI: 10.1016/j.envint.2020.105797
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An external exposome-wide association study of hypertensive disorders of pregnancy

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Cited by 24 publications
(9 citation statements)
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“…More recently, exposome-wide discovery approaches have pioneered the simultaneous assessment of associations between many environmental risk factors and pregnancy and child health outcomes (e.g., blood pressure, lung function, birth weight, obesity, communication impairments). 21–26 First early life exposome studies have also made progress in understanding how multiple exposures correlate and co-exist, 27–30 how multiple exposures vary geographically and temporally, 27,30–32 which social and dietary factors determine parts of the early life exposome, 33–35 and how we may explore associations between multiple exposures and child health. 36–39…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, exposome-wide discovery approaches have pioneered the simultaneous assessment of associations between many environmental risk factors and pregnancy and child health outcomes (e.g., blood pressure, lung function, birth weight, obesity, communication impairments). 21–26 First early life exposome studies have also made progress in understanding how multiple exposures correlate and co-exist, 27–30 how multiple exposures vary geographically and temporally, 27,30–32 which social and dietary factors determine parts of the early life exposome, 33–35 and how we may explore associations between multiple exposures and child health. 36–39…”
Section: Introductionmentioning
confidence: 99%
“…More recently, exposome-wide discovery approaches have pioneered the simultaneous assessment of associations between many environmental risk factors and pregnancy and child health outcomes (e.g., blood pressure, lung function, birth weight, obesity, communication impairments). [21][22][23][24][25][26] First early life exposome studies have also made progress in understanding how multiple exposures correlate and co-exist, [27][28][29][30] how multiple exposures vary geographically and temporally, 27,[30][31][32] which social and dietary factors determine parts of the early life exposome, [33][34][35] and how we may explore associations between multiple exposures and child health. [36][37][38][39] Likewise, the first exposome projects have moved forward in the use of high-throughput omics techniques to characterize the internal part of the exposome and to identify biological signatures and pathways that respond to and interact with environmental exposures.…”
Section: Introductionmentioning
confidence: 99%
“…Hypertensive disorders in pregnancy (HDP) is a group of diseases that coexist with pregnancy and hypertension [ 1 , 2 , 3 ]. It is one of the most common obstetric complications [ 4 , 5 ]. In order to reduce the occurrence of HDP and adverse maternal and infant outcomes, the disease needs to be effectively predicted as early as possible.…”
Section: Introductionmentioning
confidence: 99%
“…2 Recent reports demonstrate that one's zip code may be a more reliable surrogate for predicting disease risk, life expectancy, and response to treatment than one's genetic profile, thereby substantiating that community-level data have a significant health impact. [3][4][5] Maduka et al 1 have taken an excellent first step in investigating the generalizability of findings from the surgery literature to the general population. However, the next logical step is to ensure the inclusion of race and ethnicity and community-level data in the design of future prospective work to more clearly delineate the contribution of structural racism to health disparities.…”
mentioning
confidence: 99%
“…The resultant social deprivation has been shown to impact the microbiome, epigenomic phenomena, and other upstream determinants of health, possibly explaining differences in disease incidence and outcomes . Recent reports demonstrate that one’s zip code may be a more reliable surrogate for predicting disease risk, life expectancy, and response to treatment than one’s genetic profile, thereby substantiating that community-level data have a significant health impact …”
mentioning
confidence: 99%