کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5586198 | 1568551 | 2017 | 12 صفحه PDF | دانلود رایگان |
- Two genomes, rapid evolution, and multiple tissues introduce unique complexities.
- Understanding pregnancy requires integration of multiple approaches and data types.
- Approaches that integrate function with evolution are promising, yet underexploited.
- Platforms for data access and integration will accelerate pregnancy research.
BackgroundComplex 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.MethodsWe review current research that addresses the extreme complexities of traits and pathologies associated with human pregnancy.ResultsWe 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.ConclusionWe 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.
Journal: Placenta - Volume 57, September 2017, Pages 204-215