Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

From genetic epidemiology to exposome and systems epidemiology
Book Item (Buchkapitel, Lexikonartikel, jur. Kommentierung, Beiträge in Sammelbänden)
ID 4602814
Author(s) Probst-Hensch, Nicole
Author(s) at UniBasel Probst Hensch, Nicole
Year 2020
Title From genetic epidemiology to exposome and systems epidemiology
Editor(s) Patrinos, George P.
Book title Applied genomics and public health: translational and applied genomics
Volume 2
Publisher Academic Press
Place of publication Cambridge, Massachusetts
Pages 11-35
ISSN/ISBN 978-0-12-813695-9
Abstract Genetic epidemiology investigates the contribution of germline gene variants to disease etiology. The genetic architecture of many diseases exhibiting Mendelian inheritance patterns was decoded through family-based studies and subsequent functional cloning. Tests for high-penetrance gene variants have clinical utility for individuals, such as in preimplantation, prenatal, or postnatal diagnostics, and in preventive cascade screening of biological relatives. Genome-wide association studies thousands of identified variants associated with complex traits. Yet, the causal variants explaining the replicated statistical associations and their functional effects have rarely been deciphered. A missing heritability gap remains. Genetic testing for complex phenotypes has utility for research and public health rather than individuals. Genetics integrated with other biomarkers and information in the context of large citizen cohorts enables systems epidemiology approaches. The utility of genomic biomarkers is in studying molecular pathways mediating effects of the exposome on the phenome in order to improve causal understanding of modifiable risk factors. The goal is to strengthen the primary prevention of noncommunicable diseases.
Full Text on edoc No
Digital Object Identifier DOI 10.1016/B978-0-12-813695-9.00002-9

MCSS v5.8 PRO. 0.333 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |