2011
DOI: 10.1007/s11906-011-0241-8
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Between Candidate Genes and Whole Genomes: Time for Alternative Approaches in Blood Pressure Genetics

Abstract: Blood pressure has a significant genetic component, but less than 3% of the observed variance has been attributed to genetic variants identified to date. Candidate gene studies of rare, monogenic hypertensive syndromes have conclusively implicated several genes altering renal sodium balance, and studies of essential hypertension have inconsistently implicated over 50 genes in pathways affecting renal sodium balance and other functions. Genome-wide linkage scans have replicated numerous quantitative trait loci … Show more

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Cited by 34 publications
(25 citation statements)
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“…This suggests that genetics plays an important part in the overall control of blood pressure in pregnant women and that polymorphic genetic variation can contribute towards changes in a woman's risk of developing gestational hypertension (with its heritability of 0.24 [1]) or preeclampsia (heritability of 0.54 [1]) ( Table 1). Despite there being no shortage of family linkage studies, candidate gene association studies and genome-wide (essentially hypothesis-free) association studies (GWASs), the maternal genetic variants linked or associated with gestational hypertension, preeclampsia or changes in blood pressure (reviewed in [2]) itself only account for a small fraction of the heritability of pregnancy-induced hypertension [3]. The reasons for this apparent discrepancy may relate to a combination of the effects of the lack of sensitivity of even large GWASs for detecting associations with small effect sizes and genetic variation that would not be picked up in such studies, such as the effects of copy number variation, epistasis, rare variants with large effect sizes and epigenetics [such as changes in methylation, histone and microRNA (miRNA) expression].…”
Section: Introductionmentioning
confidence: 99%
“…This suggests that genetics plays an important part in the overall control of blood pressure in pregnant women and that polymorphic genetic variation can contribute towards changes in a woman's risk of developing gestational hypertension (with its heritability of 0.24 [1]) or preeclampsia (heritability of 0.54 [1]) ( Table 1). Despite there being no shortage of family linkage studies, candidate gene association studies and genome-wide (essentially hypothesis-free) association studies (GWASs), the maternal genetic variants linked or associated with gestational hypertension, preeclampsia or changes in blood pressure (reviewed in [2]) itself only account for a small fraction of the heritability of pregnancy-induced hypertension [3]. The reasons for this apparent discrepancy may relate to a combination of the effects of the lack of sensitivity of even large GWASs for detecting associations with small effect sizes and genetic variation that would not be picked up in such studies, such as the effects of copy number variation, epistasis, rare variants with large effect sizes and epigenetics [such as changes in methylation, histone and microRNA (miRNA) expression].…”
Section: Introductionmentioning
confidence: 99%
“…However, the etiology and pathogenesis of essential hypertension remain unclear. A number of studies investigating over 15 rare Mendelian hypertensive syndromes have focused on variations in genes involved in renal sodium transport, adrenergic pathways, vascular-related genes and enzymes, and receptors in the aldosterone synthesis or signaling pathways (Basson et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Although unbiased genomic approaches alone have been successful, 2 there are limitations when applied to diseases of often vastly heterogeneous (sub) phenotypes (eg, hypertension, heart failure). 107 Layering on relevant biomarker modeling (eg, B-type natriuretic peptide levels) can generate important new discoveries 2 that not only improve our understanding of the disease process itself but may even suggest specific novel therapies. Opportunities for this type of approach abound, with a constant stream of new biomarkers and emerging technologies such as metabolomic profiling.…”
Section: Steps To Move From Genetic Discovery To Translation: Future mentioning
confidence: 99%