Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
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IX<br />
Executive Summary<br />
able risks, by collecting repeated measurements over time. In many ongoing studies, <strong>the</strong><br />
strength <strong>of</strong> <strong>the</strong> relationships <strong>of</strong> key risk factors with disease may have been substantially<br />
biased by not having sufficiently accounted for within-subject variations over time. A less<br />
than full appreciation <strong>of</strong> <strong>the</strong> quantitative importance <strong>of</strong> specific risk factors may cause erroneous<br />
priority setting for prevention. In <strong>the</strong> <strong>National</strong> <strong>Cohort</strong>, <strong>the</strong> repeated collection <strong>of</strong><br />
measurements and biomaterials both over <strong>the</strong> short term, in calibration sub-studies, and<br />
over <strong>the</strong> medium term through <strong>the</strong> 5-year repeat visit <strong>of</strong> all study participants, will enable us<br />
to quantitatively estimate relative risks more accurately.<br />
2. Studies <strong>of</strong> <strong>the</strong> geographic and socio-economic disparities in health <strong>status</strong> and<br />
disease risks in Germany and possible causes and explanations<br />
Within Germany health <strong>status</strong> varies significantly across socio-economic strata as defined<br />
by level <strong>of</strong> formal education, employment <strong>status</strong>, income, or by ethnicity (i.e., belonging to<br />
immigrant minority groups). Moreover, substantial geographic variations in health <strong>status</strong><br />
can be observed. A major general objective for <strong>the</strong> <strong>National</strong> <strong>Cohort</strong> will be to contribute<br />
detailed descriptions <strong>of</strong> <strong>the</strong>se variations and to improve understanding <strong>of</strong> <strong>the</strong>ir causes. Besides<br />
socio-economic descriptors, environmental, psychosocial and behavioural factors will<br />
be studied as key determinants <strong>of</strong> social health disparities.<br />
3. Development <strong>of</strong> risk prediction models for identifying individuals at increased risk <strong>of</strong><br />
developing major chronic diseases, so as to allow personalized prevention strategies<br />
Risk prediction models and algorithms for stratification <strong>of</strong> individuals into categories <strong>of</strong> lower<br />
and higher risk <strong>of</strong> developing major chronic diseases can be important tools for personalized<br />
medicine and personalized prevention strategies. The <strong>National</strong> <strong>Cohort</strong> will provide<br />
an outstanding resource for studies aiming to develop and/or validate comprehensive risk<br />
models that integrate risk factor information obtained by questionnaires, as well from clinical<br />
measurements and assessments <strong>of</strong> genetic and o<strong>the</strong>r biological markers in blood, urine<br />
and o<strong>the</strong>r bio-specimens.<br />
4. Evaluation <strong>of</strong> markers for early detection <strong>of</strong> disease and pre-disease phenotypes,<br />
so as to develop effective tools for disease prevention<br />
Detection <strong>of</strong> chronic disease or subclinical phenotypes at an earlier stage <strong>of</strong> development<br />
may increase chances <strong>of</strong> an effective cure, and/or minimize side-effects <strong>of</strong> treatment.<br />
Stimulated by recent technological advances in <strong>the</strong> fields <strong>of</strong> genomics, transcriptomics,<br />
proteomics, metabolomics, and epigenomics, research on bio-markers for early detection<br />
<strong>of</strong> chronic disease or pre-disease states is becoming a major <strong>the</strong>me for prevention. The<br />
stored biospecimen collection <strong>of</strong> <strong>the</strong> <strong>National</strong> <strong>Cohort</strong> will provide a precious resource for <strong>the</strong><br />
discovery and validation <strong>of</strong> novel biomarkers for early disease detection, ensuring a rapid<br />
connection between basic discovery research and its confirmation and validation in appropriately<br />
designed human population studies.<br />
For <strong>the</strong> <strong>National</strong> <strong>Cohort</strong>, strong emphasis is given to methods to optimize specimen collection,<br />
pre-analytical processing, transport and storage, so as to minimize pre-analytical<br />
artifacts and to allow future studies on a large variety <strong>of</strong> markers.<br />
In addition to bio-markers, <strong>the</strong> large-scale MR imaging component <strong>of</strong> <strong>National</strong> <strong>Cohort</strong> may<br />
also provide unique opportunities for evaluation and discovery <strong>of</strong> specific morphological<br />
characteristics that may indicate early stages <strong>of</strong> disease development.<br />
The sample sizes <strong>of</strong> <strong>the</strong> entire cohort and <strong>the</strong> different sub-cohorts are based on thoroughly<br />
conducted statistical calculations that show that <strong>the</strong>se numbers are sufficient, but also nec-