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整合方法对妊娠的变革潜力。

The transformative potential of an integrative approach to pregnancy.

机构信息

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37235, USA.

出版信息

Placenta. 2017 Sep;57:204-215. doi: 10.1016/j.placenta.2017.07.010. Epub 2017 Jul 15.

DOI:10.1016/j.placenta.2017.07.010
PMID:28864013
Abstract

BACKGROUND

Complex traits typically involve diverse biological pathways and are shaped by numerous genetic and environmental factors. Pregnancy-associated traits and pathologies are further complicated by extensive communication across multiple tissues in two individuals, interactions between two genomes-maternal and fetal-that obscure causal variants and lead to genetic conflict, and rapid evolution of pregnancy-associated traits across mammals and in the human lineage. Given the multi-faceted complexity of human pregnancy, integrative approaches that synthesize diverse data types and analyses harbor tremendous promise to identify the genetic architecture and environmental influences underlying pregnancy-associated traits and pathologies.

METHODS

We review current research that addresses the extreme complexities of traits and pathologies associated with human pregnancy.

RESULTS

We find that successful efforts to address the many complexities of pregnancy-associated traits and pathologies often harness the power of many and diverse types of data, including genome-wide association studies, evolutionary analyses, multi-tissue transcriptomic profiles, and environmental conditions.

CONCLUSION

We propose that understanding of pregnancy and its pathologies will be accelerated by computational platforms that provide easy access to integrated data and analyses. By simplifying the integration of diverse data, such platforms will provide a comprehensive synthesis that transcends many of the inherent challenges present in studies of pregnancy.

摘要

背景

复杂特征通常涉及多种生物学途径,并受到众多遗传和环境因素的影响。妊娠相关特征和病理情况更为复杂,因为在两个个体的多个组织之间存在广泛的交流,母胎两个基因组之间存在相互作用,掩盖了因果变异体,并导致遗传冲突,以及哺乳动物和人类谱系中妊娠相关特征的快速进化。鉴于人类妊娠的多方面复杂性,整合多种数据类型和分析的方法具有巨大的潜力,可以识别与妊娠相关特征和病理情况相关的遗传结构和环境影响。

方法

我们回顾了当前研究,以解决与人类妊娠相关的特征和病理情况的极端复杂性。

结果

我们发现,成功应对妊娠相关特征和病理情况的许多复杂性的努力通常利用了多种不同类型的数据的力量,包括全基因组关联研究、进化分析、多组织转录组谱和环境条件。

结论

我们提出,通过提供易于访问综合数据和分析的计算平台,对妊娠及其病理情况的理解将得到加速。通过简化对多种数据的整合,此类平台将提供超越妊娠研究中存在的许多固有挑战的综合综合分析。

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