Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Part 1 Assessing and utilizing the diagnostic or prognostic power of biomarkers
- Part 2 Biomarkers of kidney disease and dysfunction
- Part 3 Biomarkers of bone disease and dysfunction
- 9 Bone turnover markers in clinical practice
- 10 Biomarkers of bone formation
- 11 Biochemical markers of bone resorption
- 12 The clinical application of biomarkers in osteoporosis
- 13 Sources of preanalytical variability in the measurement of biochemical markers of bone turnover
- 14 Genetic approaches to the study of complex diseases: osteoporosis
- Part 4 Biomarkers of liver disease and dysfunction
- Part 5 Biomarkers of gastrointestinal disease and dysfunction
- Part 6 Biomarkers in toxicology
- Part 7 Biomarkers of cardiovascular disease and dysfunction
- Part 8 Biomarkers of neurological disease and dysfunction
- Part 9 Biomarkers in transplantation
- Index
14 - Genetic approaches to the study of complex diseases: osteoporosis
Published online by Cambridge University Press: 20 August 2009
- Frontmatter
- Contents
- List of contributors
- Preface
- Part 1 Assessing and utilizing the diagnostic or prognostic power of biomarkers
- Part 2 Biomarkers of kidney disease and dysfunction
- Part 3 Biomarkers of bone disease and dysfunction
- 9 Bone turnover markers in clinical practice
- 10 Biomarkers of bone formation
- 11 Biochemical markers of bone resorption
- 12 The clinical application of biomarkers in osteoporosis
- 13 Sources of preanalytical variability in the measurement of biochemical markers of bone turnover
- 14 Genetic approaches to the study of complex diseases: osteoporosis
- Part 4 Biomarkers of liver disease and dysfunction
- Part 5 Biomarkers of gastrointestinal disease and dysfunction
- Part 6 Biomarkers in toxicology
- Part 7 Biomarkers of cardiovascular disease and dysfunction
- Part 8 Biomarkers of neurological disease and dysfunction
- Part 9 Biomarkers in transplantation
- Index
Summary
Genetics of osteoporosis
Certain aspects of osteoporosis have strong genetic influences. This finding is derived from genetic epidemiological analyses which show that, in women, a maternal family history of fracture is positively related to fracture risk [1]. Most evidence, however, has come from twin studies on bone mineral density (BMD) [2–4]. For BMD, heritability has been estimated to be high: 50–80% [2–4]. Thus, although twin studies can overestimate heritability, a considerable part of the variance in BMD values might be explained by genetic factors, while the remaining part may be due to environmental factors. This also suggests that there are ‘bone density’ genes, variants of which will result in BMD levels that are different between individuals. These interindividual differences in BMD levels can become apparent in different ways – as differences in either peak BMD or rate of bone loss at an advanced age.
The heritability estimates of osteoporosis suggest considerable influences from environmental factors which can modify the effect of genetic predisposition. The gene–environment interactions could include diet, exercise and exposure to sunlight, for example. While genetic predisposition will be constant during life, environmental factors tend to change during the different periods of life resulting in different ‘expression levels’ of the genetic susceptibility. Ageing is associated with a general functional decline in overall activity resulting in less exercise, less time spent outdoors, changes in diet, etc.
- Type
- Chapter
- Information
- Biomarkers of DiseaseAn Evidence-Based Approach, pp. 159 - 164Publisher: Cambridge University PressPrint publication year: 2002