Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 41

1.

Combining genome-wide data from humans and animal models of dyslipidemia and atherosclerosis.

Berisha SZ, Smith JD.

Curr Opin Lipidol. 2011 Apr;22(2):100-5. doi: 10.1097/MOL.0b013e328342a375. Review.

2.

Next-generation gene discovery for variants of large impact on lipid traits.

Rosenthal E, Blue E, Jarvik GP.

Curr Opin Lipidol. 2015 Apr;26(2):114-9. doi: 10.1097/MOL.0000000000000156. Review.

3.

Strategies for identifying the genetic basis of dyslipidemia: genome-wide association studies vs. the resequencing of extremes.

Khor CC, Goh DL.

Curr Opin Lipidol. 2010 Apr;21(2):123-7. doi: 10.1097/MOL.0b013e328336eae9. Review.

PMID:
20125008
4.

Gene-environment interaction in dyslipidemia.

Cole CB, Nikpay M, McPherson R.

Curr Opin Lipidol. 2015 Apr;26(2):133-8. doi: 10.1097/MOL.0000000000000160. Review.

PMID:
25692343
5.

Recent developments in genome and exome-wide analyses of plasma lipids.

Lange LA, Willer CJ, Rich SS.

Curr Opin Lipidol. 2015 Apr;26(2):96-102. doi: 10.1097/MOL.0000000000000159. Review.

PMID:
25692345
6.

[Research progress in heritable dyslipidemia].

He YQ, Xu MF, Yu H, Geng JW, Shi SX, Xue L, Lu ZQ, Guan MX.

Yi Chuan. 2013 Nov;35(11):1237-43. Review. Chinese.

PMID:
24579306
7.

Bioinformatics toolbox for narrowing rodent quantitative trait loci.

DiPetrillo K, Wang X, Stylianou IM, Paigen B.

Trends Genet. 2005 Dec;21(12):683-92. Review.

PMID:
16226337
8.

From genotype to phenotype in human atherosclerosis--recent findings.

Holdt LM, Teupser D.

Curr Opin Lipidol. 2013 Oct;24(5):410-8. doi: 10.1097/MOL.0b013e3283654e7c. Review.

9.

Integrating genetic, functional genomic, and bioinformatics data in a systems biology approach to complex diseases: application to schizophrenia.

Middleton FA, Rosenow C, Vailaya A, Kuchinsky A, Pato MT, Pato CN.

Methods Mol Biol. 2007;401:337-64. doi: 10.1007/978-1-59745-520-6_18. Review.

PMID:
18368374
10.

Genetic and genomic insights into the molecular basis of atherosclerosis.

Chen Y, Rollins J, Paigen B, Wang X.

Cell Metab. 2007 Sep;6(3):164-79. Review.

11.

Quantitative trait locus mapping for atherosclerosis susceptibility.

Smith J.

Curr Opin Lipidol. 2003 Oct;14(5):499-504. Review.

PMID:
14501589
12.

Genetic basis of atherosclerosis: insights from mice and humans.

Stylianou IM, Bauer RC, Reilly MP, Rader DJ.

Circ Res. 2012 Jan 20;110(2):337-55. doi: 10.1161/CIRCRESAHA.110.230854. Review.

13.

The enigma of genetics etiology of atherosclerosis in the post-GWAS era.

Marian AJ.

Curr Atheroscler Rep. 2012 Aug;14(4):295-9. doi: 10.1007/s11883-012-0245-0. Review.

14.

Integrated approaches to functionally characterize novel factors in lipoprotein metabolism.

Runz H.

Curr Opin Lipidol. 2012 Apr;23(2):104-10. doi: 10.1097/MOL.0b013e328350fc3d. Review.

PMID:
22327609
15.

[Gene-diet interactions in atherogenic dyslipidemias (part 1)].

Zák A, Slabý A.

Cas Lek Cesk. 2007;146(12):896-901. Review. Czech.

PMID:
18257401
16.

Functional validation of new pathways in lipoprotein metabolism identified by human genetics.

Bauer RC, Stylianou IM, Rader DJ.

Curr Opin Lipidol. 2011 Apr;22(2):123-8. doi: 10.1097/MOL.0b013e32834469b3. Review.

PMID:
21311327
17.

Translating Lung Function Genome-Wide Association Study (GWAS) Findings: New Insights for Lung Biology.

Kheirallah AK, Miller S, Hall IP, Sayers I.

Adv Genet. 2016;93:57-145. doi: 10.1016/bs.adgen.2015.12.002. Review.

PMID:
26915270
18.
19.

Strategies beyond genome-wide association studies for atherosclerosis.

Maouche S, Schunkert H.

Arterioscler Thromb Vasc Biol. 2012 Feb;32(2):170-81. doi: 10.1161/ATVBAHA.111.232652. Review.

20.

Adaptive genetic variation and heart disease risk.

Parnell LD, Lee YC, Lai CQ.

Curr Opin Lipidol. 2010 Apr;21(2):116-22. doi: 10.1097/MOL.0b013e3283378e42. Review.

Items per page

Supplemental Content

Support Center