TY - JOUR
T1 - Lipidomic analyses in epidemiology
AU - Mundra, Piyushkumar A.
AU - Shaw, Jonathan E.
AU - Meikle, Peter J.
N1 - Publisher Copyright:
© The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.
PY - 2016/10
Y1 - 2016/10
N2 - Clinical lipid measurements have been the mainstay of risk assessment for chronic disease since the Framingham study commenced over 60 years ago. Thousands of subsequent epidemiological studies have provided much insight into the relationship between plasma lipid profiles, health and disease. However, the human lipidome consists of thousands of individual lipid species, and current lipidomic technology presents us with an unprecedented opportunity to measure lipid phenotypes, representing genomic, metabolic, diet and lifestyle-related exposures, in large epidemiological studies. The number of epidemiological studies using lipidomic profiling is increasing and has the potential to provide improved biological and clinical insight into human disease. In this review, we discuss current lipidomic technologies, epidemiological studies using these technologies and the statistical approaches used in the analysis of the resulting data. We highlight the potential of integrating genomic and lipidomic datasets and discuss the future opportunities and challenges in this emerging field.
AB - Clinical lipid measurements have been the mainstay of risk assessment for chronic disease since the Framingham study commenced over 60 years ago. Thousands of subsequent epidemiological studies have provided much insight into the relationship between plasma lipid profiles, health and disease. However, the human lipidome consists of thousands of individual lipid species, and current lipidomic technology presents us with an unprecedented opportunity to measure lipid phenotypes, representing genomic, metabolic, diet and lifestyle-related exposures, in large epidemiological studies. The number of epidemiological studies using lipidomic profiling is increasing and has the potential to provide improved biological and clinical insight into human disease. In this review, we discuss current lipidomic technologies, epidemiological studies using these technologies and the statistical approaches used in the analysis of the resulting data. We highlight the potential of integrating genomic and lipidomic datasets and discuss the future opportunities and challenges in this emerging field.
UR - http://www.scopus.com/inward/record.url?scp=85032027537&partnerID=8YFLogxK
U2 - 10.1093/ije/dyw112
DO - 10.1093/ije/dyw112
M3 - Review Article
C2 - 27286762
AN - SCOPUS:85032027537
SN - 0300-5771
VL - 45
SP - 1329
EP - 1338
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
IS - 5
ER -