TY - JOUR
T1 - Asthma genetics and personalised medicine
AU - Meyers, Deborah A.
AU - Bleecker, Eugene R.
AU - Holloway, John W.
AU - Holgate, Stephen T.
N1 - Funding Information:
For DAM and ERB, this work was supported by grants from the US National Institutes of Health ( HL109164, HL65899, and NR013700 ). STH is a UK Medical Research Professor.
PY - 2014/5
Y1 - 2014/5
N2 - Unbiased genetic approaches, especially genome-wide association studies, have identified novel genetic targets in the pathogenesis of asthma, but so far these targets account for only a small proportion of the heritability of asthma. Recognition of the importance of disease heterogeneity, the need for improved disease phenotyping, and the fact that genes involved in the inception of asthma are likely to be different from those involved in severity widens the scope of asthma genetics. The identification of genes implicated in several causal pathways suggests that genetic scores could be used to capture the effect of genetic variations on individuals. Gene-environment interaction adds another layer of complexity, which is being successfully explored by epigenetic approaches. Pharmacogenetics is one example of how gene-environment interactions are already being taken into account in the identification of drug responders and non-responders, and patients most susceptible to adverse effects. Such applications represent one component of personalised medicine, an approach that places the individual at the centre of health care.
AB - Unbiased genetic approaches, especially genome-wide association studies, have identified novel genetic targets in the pathogenesis of asthma, but so far these targets account for only a small proportion of the heritability of asthma. Recognition of the importance of disease heterogeneity, the need for improved disease phenotyping, and the fact that genes involved in the inception of asthma are likely to be different from those involved in severity widens the scope of asthma genetics. The identification of genes implicated in several causal pathways suggests that genetic scores could be used to capture the effect of genetic variations on individuals. Gene-environment interaction adds another layer of complexity, which is being successfully explored by epigenetic approaches. Pharmacogenetics is one example of how gene-environment interactions are already being taken into account in the identification of drug responders and non-responders, and patients most susceptible to adverse effects. Such applications represent one component of personalised medicine, an approach that places the individual at the centre of health care.
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U2 - 10.1016/S2213-2600(14)70012-8
DO - 10.1016/S2213-2600(14)70012-8
M3 - Review article
C2 - 24794577
AN - SCOPUS:84900313699
SN - 2213-2600
VL - 2
SP - 405
EP - 415
JO - The Lancet Respiratory Medicine
JF - The Lancet Respiratory Medicine
IS - 5
ER -