| Autor: |
Richards-Steed R; Geography, University of Utah Health Huntsman Cancer Institute, Salt Lake City, UT, USA., Wan N; Geography, University of Utah Department of Geography, Salt Lake City, UT, USA., Bakian A; Psychiatry, University of Utah Health, Salt Lake City, UT, USA., Medina RM; Geography, University of Utah Department of Geography, Salt Lake City, UT, USA., Brewer SC; Geography, University of Utah Department of Geography, Salt Lake City, UT, USA., Smith KR; Child and Consumer Studies, University of Utah Health, Salt Lake City, UT, USA., VanDerslice JA; Public Health, University of Utah Health, Salt Lake City, UT, USA. |
| Abstrakt: |
There are substantial challenges in studying human transgenerational epigenetic outcomes resulting from environmental conditions. The task requires specialized methods and tools that incorporate specific knowledge of multigenerational relationship combinations of probands and their ancestors, phenotype data for individuals, environmental information of ancestors and their descendants, which can span historical to present datasets, and informative environmental data that chronologically aligns with ancestors and descendants over space and time. As a result, there are few epidemiologic studies of potential transgenerational effects in human populations, thus limiting the knowledge of ancestral environmental conditions and the potential impacts we face with modern human health outcomes. In an effort to overcome some of the challenges in studying human transgenerational effects, we present two transgenerational study designs: transgenerational space-time cluster detection and transgenerational case-control study design. Like other epidemiological methods, these methods determine whether there are statistical associations between phenotypic outcomes (e.g., adverse health outcomes) among probands and the shared environments and environmental factors facing their ancestors. When the ancestor is a paternal grandparent, a statistically significant association provides some evidence that a transgenerational inheritable factor may be involved. Such results may generate useful hypotheses that can be explored using epigenomic data to establish conclusive evidence of transgenerational heritable effects. Both methods are proband-centric: They are designed around the phenotype of interest in the proband generation for case selection and family pedigree creation. In the examples provided, we incorporate at least three generations of paternal lineage in both methods to observe a potential transgenerational effect. |
