Preventing Spontaneous Preterm Birth: Insights from Genomics

IF 0.9 4区 数学 Q2 Mathematics Annales Academiae Scientiarum Fennicae-Mathematica Pub Date : 2022-11-15 DOI:10.57048/aasf.122857
L. Muglia, N. Monangi, M. Hallman, K. Teramo, B. Jacobsson, Ge Zhang
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Abstract

Mortality and morbidity due to infants being born preterm remains one of the greatest health burdens facing society. Many factors influence the risk for spontaneous preterm birth, both genetic and environmental. To date, generally effective interventions to prevent preterm birth have not been identified. In this paper, we discuss the impact of preterm birth and the challenges that have limited insights so far. New advances in genomics, systems biology, and population/personalized medicine show promise in overcoming previous barriers and leading to new insights and preventive treatments.
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预防自发性早产:来自基因组学的见解
婴儿早产造成的死亡率和发病率仍然是社会面临的最大健康负担之一。许多因素影响自发性早产的风险,包括遗传因素和环境因素。迄今为止,预防早产的一般有效干预措施尚未确定。在本文中,我们讨论了早产的影响和挑战,迄今为止有有限的见解。基因组学、系统生物学和人口/个性化医学的新进展有望克服以前的障碍,并带来新的见解和预防性治疗。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Annales Academiæ Scientiarum Fennicæ Mathematica is published by Academia Scientiarum Fennica since 1941. It was founded and edited, until 1974, by P.J. Myrberg. Its editor is Olli Martio. AASF publishes refereed papers in all fields of mathematics with emphasis on analysis.
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