High-density lipoprotein (HDL) cholesterol: leveraging practice-based biobank cohorts to characterize clinical and genetic predictors of treatment outcome.
High-density lipoprotein (HDL) cholesterol: leveraging practice-based biobank cohorts to characterize clinical and genetic predictors of treatment outcome.
复制标题
DOI:
10.1038/tpj.2010.86
复制
发表时间:
2011-06
期刊:
影响因子:
--
通讯作者:
Wilke RA
中科院分区:
文献类型:
--
作者:
Wilke RA
Over the past decade, large multicenter trials have unequivocally demonstrated that decreasing low density lipoprotein (LDL) cholesterol can reduce both primary and secondary cardiovascular events in patients at risk. However, even in the context of maximal LDL lowering, there remains considerable residual cardiovascular risk. Some of this risk can be attributed to variability in high density lipoprotein (HDL) cholesterol. As such, there is tremendous interest in defining determinants of HDL homeostasis. Risk prediction models are being constructed based upon (1) clinical contributors, (2) known molecular determinants, and (3) the genetic architecture underlying HDL cholesterol levels. To date, however, no single resource has combined these factors within the context of a practice-based dataset. Recently, a number of academic medical centers have begun constructing DNA biobanks linked to secure encrypted versions of their respective electronic medical record. As these biobanks combine resources, the clinical community is in a position to characterize lipid-related treatment outcome on an unprecedented scale.
登录
查看更多内容
影响因子:
2.8
作者:
Goodarzi, M. O.;Taylor, K. D.;Rotter, J. I.
通讯作者:
Rotter, J. I.
影响因子:
2.1
作者:
Baye, Tes M.;Zhang, Yi;Wilke, Russell A.
通讯作者:
Wilke, Russell A.
DOI:
10.1161/01.atv.6.6.670
发表时间:
1986-11-01
期刊:
ARTERIOSCLEROSIS
影响因子:
--
作者:
BROWN, WV;DUJOVNE, CA;SUPERKO, HR
通讯作者:
SUPERKO, HR
影响因子:
158.5
作者:
FRICK, MH;ELO, O;NIKKILA, EA
通讯作者:
NIKKILA, EA
影响因子:
56.9
作者:
Altmann, SW;Davis, HR;Graziano, MP
通讯作者:
Graziano, MP