View source for Genetic Epidemiology

== Introduction ==

Genetic epidemiology is a field that involves the utilization of statistical analysis to determine the genetic architecture of [[Human genetics|human genetic traits]]. It is a combination of both traditional [[Epidemiology|epidemiology]] and [[Genetics|genetics]], and aims to elucidate the role of genetic factors and their interaction with environmental factors in disease etiology.

[[Image:Detail-74985.jpg|thumb|center|A close-up image of a DNA double helix structure, representing the genetic aspect of genetic epidemiology.|class=only_on_mobile]]
[[Image:Detail-74986.jpg|thumb|center|A close-up image of a DNA double helix structure, representing the genetic aspect of genetic epidemiology.|class=only_on_desktop]]

== History ==

The field of genetic epidemiology emerged in the late 20th century, as a response to the need for a discipline that could incorporate rapidly developing molecular biology techniques into traditional epidemiological research. The term "genetic epidemiology" was first used in a publication by Neil Risch in 1984.

== Methodology ==

Genetic epidemiology employs a range of methodologies, from traditional epidemiological strategies such as case-control studies, to more complex genetic analyses. These include [[Linkage disequilibrium|linkage disequilibrium]] mapping, [[Genome-wide association study|genome-wide association studies (GWAS)]], and [[Whole genome sequencing|whole genome sequencing]].

== Applications ==

Genetic epidemiology has a wide range of applications, particularly in understanding the genetic basis of complex diseases. It has been instrumental in identifying genetic risk factors for diseases such as [[Breast cancer|breast cancer]], [[Diabetes mellitus type 2|type 2 diabetes]], and [[Alzheimer's disease|Alzheimer's disease]].

== Challenges and Future Directions ==

While genetic epidemiology has made significant strides in understanding the genetic basis of disease, there are still many challenges to be overcome. These include the need for larger sample sizes, the complexity of gene-environment interactions, and the difficulty in translating genetic risk factors into clinical practice.

== See Also ==

* [[Molecular epidemiology]]
* [[Genetic association]]
* [[Population genetics]]

[[Category:Genetics]]
[[Category:Epidemiology]]
[[Category:Medical research]]