1
|
Durrington P: Dyslipidaemia. Lancet.
362:717–731. 2003. View Article : Google Scholar : PubMed/NCBI
|
2
|
Paththinige CS, Sirisena ND and
Dissanayake V: Genetic determinants of inherited susceptibility to
hypercholesterolemia-a comprehensive literature review. Lipids
Health Dis. 16:1032017. View Article : Google Scholar
|
3
|
Dron JS and Hegele RA: Genetics of
triglycerides and the risk of atherosclerosis. Curr Atheroscler
Rep. 19:312017. View Article : Google Scholar : PubMed/NCBI
|
4
|
Soutar AK and Naoumova RP: Mechanism of
disease: Genetic causes of familial hypercholesterolemia. Nat Clin
Pract Cardiovasc Med. 4:214–225. 2007. View Article : Google Scholar : PubMed/NCBI
|
5
|
Heller DA, DeFaire U, Pedersen N, Dahlén G
and McClearn GE: Genetic and environmental influences on serum
lipid levels in twins. N Engl J Med. 328:1150–1156. 1993.
View Article : Google Scholar : PubMed/NCBI
|
6
|
Abney M, McPeek MS and Ober C: Broad and
narrow herita-bilities of quantitative traits in a founder
population. Am J Hum Genet. 68:1302–1307. 2001. View Article : Google Scholar : PubMed/NCBI
|
7
|
van Dongen J, Willemsen G, Chen WM, de
Geus EJ and Boomsma DI: Heritability of metabolic syndrome traits
in a large population-based sample. J Lipid Res. 54:2914–2923.
2013. View Article : Google Scholar : PubMed/NCBI
|
8
|
Woo JG, Morrison JA, Stroop DM, Aronson
Friedman L and Martin LJ: Genetic architecture of lipid traits
changes over time and differs by race: Princeton Lipid Follow-up
Study. J Lipid Res. 55:1515–1524. 2014. View Article : Google Scholar : PubMed/NCBI
|
9
|
Benjamin EJ, Virani SS, Callaway CW,
Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling
FN, Deo R, et al: Heart disease and stroke statistics-2018 update:
A report from the American Heart Association. Circulation.
137:e67–e492. 2018. View Article : Google Scholar : PubMed/NCBI
|
10
|
Law MR, Wald NJ and Rudnicka AR:
Quantifying effect of statins on low density lipoprotein
cholesterol, ischaemic heart disease, and stroke: Systematic review
and meta-analysis. Br Med J. 326:14232003. View Article : Google Scholar
|
11
|
Agnoli C, Grioni S, Sieri S, Sacerdote C,
Vineis P, Tumino R, Giurdanella MC, Pala V, Mattiello A, Chiodini
P, et al: Colorectal cancer risk and dyslipidemia: A case-cohort
study nested in an Italian multicentre cohort. Cancer Epidemiol.
38:144–151. 2014. View Article : Google Scholar : PubMed/NCBI
|
12
|
Yao X and Tian Z: Dyslipidemia and
colorectal cancer risk: A meta-analysis of prospective studies.
Cancer Causes Control. 26:257–268. 2015. View Article : Google Scholar
|
13
|
Kathiresan S, Melander O, Guiducci C,
Surti A, Burtt NP, Rieder MJ, Cooper GM, Roos C, Voight BF,
Havulinna AS, et al: Six new loci associated with blood low-density
lipoprotein cholesterol, high-density lipoprotein cholesterol or
triglycerides in humans. Nat Genet. 40:189–197. 2008. View Article : Google Scholar : PubMed/NCBI
|
14
|
Kathiresan S, Willer CJ, Peloso GM,
Demissie S, Musunuru K, Schadt EE, Kaplan L, Bennett D, Li Y,
Tanaka T, et al: Common variants at 30 loci contribute to polygenic
dyslipidemia. Nat Genet. 41:56–65. 2009. View Article : Google Scholar
|
15
|
Aulchenko YS, Ripatti S, Lindqvist I,
Boomsma D, Heid IM, Pramstaller PP, Penninx BW, Janssens AC, Wilson
JF, Spector T, et al: Loci influencing lipid levels and coronary
heart disease risk in 16 European population cohorts. Nat Genet.
41:47–55. 2009. View
Article : Google Scholar :
|
16
|
Teslovich TM, Musunuru K, Smith AV,
Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S,
Chasman DI, Willer CJ, et al: Biological, clinical and population
relevance of 95 loci for blood lipids. Nature. 466:707–713. 2010.
View Article : Google Scholar : PubMed/NCBI
|
17
|
Asselbergs FW, Guo Y, van Iperen EP,
Sivapalaratnam S, Tragante V, Lanktree MB, Lange LA, Almoguera B,
Appelman YE, Barnard J, et al: Large-scale gene-centric
meta-analysis across 32 studies identifies multiple lipid loci. Am
J Hum Genet. 91:823–838. 2012. View Article : Google Scholar : PubMed/NCBI
|
18
|
Willer CJ, Schmidt EM, Sengupta S, Peloso
GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S,
et al: Discovery and refinement of loci associated with lipid
levels. Nat Genet. 45:1274–1283. 2013. View Article : Google Scholar : PubMed/NCBI
|
19
|
Peloso GM, Auer PL, Bis JC, Voorman A,
Morrison AC, Stitziel NO, Brody JA, Khetarpal SA, Crosby JR,
Fornage M, et al: Association of low-frequency and rare
coding-sequence variants with blood lipids and coronary heart
disease in 56,000 whites and blacks. Am J Hum Genet. 94:223–232.
2014. View Article : Google Scholar : PubMed/NCBI
|
20
|
Surakka I, Horikoshi M, Mägi R, Sarin AP,
Mahajan A, Lagou V, Marullo L, Ferreira T, Miraglio B, Timonen S,
et al: The impact of low-frequency and rare variants on lipid
levels. Nat Genet. 47:589–597. 2015. View Article : Google Scholar : PubMed/NCBI
|
21
|
Lange LA, Hu Y, Zhang H, Xue C, Schmidt
EM, Tang ZZ, Bizon C, Lange EM, Smith JD, Turner EH, et al:
Whole-exome sequencing identifies rare and low-frequency coding
variants associated with LDL cholesterol. Am J Hum Genet.
94:233–245. 2014. View Article : Google Scholar : PubMed/NCBI
|
22
|
Helgadottir A, Gretarsdottir S,
Thorleifsson G, Hjartarson E, Sigurdsson A, Magnusdottir A,
Jonasdottir A, Kristjansson H, Sulem P, Oddsson A, et al: Variants
with large effects on blood lipids and the role of cholesterol and
triglycerides in coronary disease. Nat Genet. 48:634–639. 2016.
View Article : Google Scholar : PubMed/NCBI
|
23
|
Liu DJ, Peloso GM, Yu H, Butterworth AS,
Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves AC, et al:
Exome-wide association study of plasma lipids in >300,000
individuals. Nat Genet. 49:1758–1766. 2017. View Article : Google Scholar : PubMed/NCBI
|
24
|
Hoffmann TJ, Theusch E, Haldar T,
Ranatunga DK, Jorgenson E, Medina MW, Kvale MN, Kwok PY, Schaefer
C, Krauss RM, et al: A large electronic-health-record-based
genome-wide study of serum lipids. Nat Genet. 50:401–413. 2018.
View Article : Google Scholar : PubMed/NCBI
|
25
|
Peloso Lu X, Liu GM, Wu DJ, Zhang Y, Zhou
H, Li W, Tang J, Dorajoo CS, Li RH, et al: Exome chip meta-analysis
identifies novel loci and East Asian-specific coding variants that
contribute to lipid levels and coronary artery disease. Nat Genet.
49:1722–1730. 2017. View Article : Google Scholar : PubMed/NCBI
|
26
|
Spracklen CN, Chen P, Kim YJ, Wang X, Cai
H, Li S, Long J, Wu Y, Wang YX, Takeuchi F, et al: Association
analyses of East Asian individuals and trans-ancestry analyses with
European individuals reveal new loci associated with cholesterol
and triglyceride levels. Hum Mol Genet. 26:1770–1784. 2017.
View Article : Google Scholar : PubMed/NCBI
|
27
|
Kurano M, Tsukamoto K, Kamitsuji S,
Kamatani N, Hara M, Ishikawa T, Kim BJ, Moon S, Jin Kim Y and
Teramoto T: Genome-wide association study of serum lipids confirms
previously reported associations as well as new associations of
common SNPs within PCSK7 gene with triglyceride. J Hum Genet.
61:427–433. 2016. View Article : Google Scholar : PubMed/NCBI
|
28
|
Yamada Y, Sakuma J, Takeuchi I, Yasukochi
Y, Kato K, Oguri M, Fujimaki T, Horibe H, Muramatsu M, Sawabe M, et
al: Identification of eight genetic variants as novel determinants
of dyslipidemia in Japanese by exome-wide association studies.
Oncotarget. 8:38950–38961. 2017.PubMed/NCBI
|
29
|
Yamada Y, Matsui K, Takeuchi I, Oguri M
and Fujimaki T: Association of genetic variants with hypertension
in a longitudinal population-based genetic epidemiological study.
Int J Mol Med. 35:1189–1198. 2015. View Article : Google Scholar : PubMed/NCBI
|
30
|
Grove ML, Yu B, Cochran BJ, Haritunians T,
Bis JC, Taylor KD, Hansen M, Borecki IB, Cupples LA, Fornage M, et
al: Best practices and joint calling of the HumanExome BeadChip:
The CHARGE Consortium. PLoS One. 8:e680952013. View Article : Google Scholar : PubMed/NCBI
|
31
|
Anderson CA, Pettersson FH, Clarke GM,
Cardon LR, Morris AP and Zondervan KT: Data quality control in
genetic case-control association studies. Nat Protoc. 5:1564–1573.
2010. View Article : Google Scholar : PubMed/NCBI
|
32
|
Price AL, Patterson NJ, Plenge RM,
Weinblatt ME, Shadick NA and Reich D: Principal components analysis
corrects for stratification in genome-wide association studies. Nat
Genet. 38:904–909. 2006. View
Article : Google Scholar : PubMed/NCBI
|
33
|
Leslie R, O’Donnell CJ and Johnson AD:
GRASP: Analysis of genotype-phenotype results from 1,390
genome-wide association studies and corresponding open access
database. Bioinformatics. 30:i185-i1942014. View Article : Google Scholar
|
34
|
Eicher JD, Landowski C, Stackhouse B,
Sloan A, Chen W, Jensen N, Lien JP, Leslie R and Johnson AD: GRASP
v2.0: An update on the genome-wide repository of associations
between SNPs and phenotypes. Nucleic Acids Res. 43(Database Issue):
D799–D804. 2015. View Article : Google Scholar :
|
35
|
Warde-Farley D, Donaldson SL, Comes O,
Zuberi K, Badrawi R, Chao P, Franz M, Grouios C, Kazi F, Lopes CT,
et al: The GeneMANIA prediction server: Biological network
integration for gene prioritization and predicting gene function.
Nucleic Acids Res. 38:W214–W220. 2010. View Article : Google Scholar : PubMed/NCBI
|
36
|
Montojo J, Zuberi K, Rodriguez H, Kazi F,
Wright G, Donaldson SL, Morris Q and Bader GD: GeneMANIA cytoscape
plugin: Fast gene function predictions on the desktop.
Bioinformatics. 26:2927–2928. 2010. View Article : Google Scholar : PubMed/NCBI
|
37
|
Montojo J, Zuberi K, Rodriguez H, Bader GD
and Morris Q: GeneMANIA: Fast gene network construction and
function prediction for Cytoscape. F1000Res. 3:1532014.PubMed/NCBI
|
38
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
39
|
Piñero J, Queralt-Rosinach N, Bravo À,
Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F and Furlong LI:
DisGeNET: A discovery platform for the dynamical exploration of
human diseases and their genes. Database (Oxford) 2015. bav0282015.
View Article : Google Scholar
|
40
|
Piñero J, Bravo À, Queralt-Rosinach N,
Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz
F and Furlong LI: DisGeNET: A comprehensive platform integrating
information on human disease-associated genes and variants. Nucleic
Acids Res. 45:D833–D839. 2017. View Article : Google Scholar :
|
41
|
Lempiäinen H, Brænne I, Michoel T,
Tragante V, Vilne B, Webb TR, Kyriakou T, Eichner J, Zeng L,
Willenborg C, et al: Network analysis of coronary artery disease
risk genes elucidates disease mechanisms and druggable targets. Sci
Rep. 8:34342018. View Article : Google Scholar : PubMed/NCBI
|