Back

Genome-wide association study of plasma triglycerides, phospholipids and relation to cardio-metabolic risk factors

Demirkan, A.; Pool, R.; Deelen, J.; Beekman, M.; Liu, J.; Harms, A. C.; Varhoorst, A.; Hagenbeek, F. A.; Willemsen, G.; Verhoeven, A.; Amin, N.; Willems van Dijk, K.; Hankemeier, T.; Boomsma, D. I.; Slagboom, E.; van Duijn, C. M.

2019-06-22 epidemiology
10.1101/621334 bioRxiv
Show abstract

There is continuous interest in the genetic determinants of plasma triglycerides (TGs) and phospholipids and their role in the etiology of cardiovascular disease (CVD). Here, we report the results of a Dutch genome wide association study (GWAS) of an in-house developed lipidomics platform, focusing on 90 plasma lipids. Lipids were assessed by liquid chromatography mass spectrometry in participants from the Leiden Longevity Study, the Netherlands Twin Register and the Erasmus Rucphen Family (ERF) study and meta-analysed, resulting in a sample size of 5537 participants. In addition, we performed genetic correlation analyses between the 90 plasma lipids and markers of metabolic health, as well as vascular pathology and CVD combining our GWAS results with publicly available GWAS outputs. We replicated previously known associations between 34 lipids and 10 lipid quantitative trait loci (lipQTL) (GCKR, APOA1, FADS1, SGPP1,TMEM229B, LIPC, PDXDC1, CETP, CERS4 and SPTLC3) with metabolome-wide (P < 1.61 x 10-9) significance. Moreover, we report 6 novel phospholipid-related and 5 triglyceride (TG)-related loci: SGGP1 (SM21:0), SPTLC3 (SM21:0 and SM25:1), FADS1 (LPCO16:1, PC38:2, PEO36:5, PEO38:5, TG56:5, TG56:6, and TG56:7), TMEM229 (LPCO16:1), GCKR (TG50:2), and APOA1 (TG54:4). In addition, we report suggestively significant (P < 5 x 10-8) associations mapping to eleven novel lipid quantitative trait loci (lipQTLs), three of which are supported by mining previous GWAS data: MAU (PC34:4), LDLR (SM16:0), and MLXIPL (TG48:1 and TG50:1)). Genetic correlation analysis indicates that one specific specific sphingomyelin, SM22:0, shares common genetic background with CVD. Levels of SM22:0 also positively associate with carotid artery intima-media thickness in the ERF study, and this observation is independent of LDL-C level. Our findings yield higher resolution of plasma lipid species and new insights in the biology of circulating phosholipids and their relation to CVD risk.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
EMBO Molecular Medicine
85 papers in training set
Top 0.1%
19.0%
2
Atherosclerosis
29 papers in training set
Top 0.1%
18.9%
3
International Journal of Epidemiology
74 papers in training set
Top 0.3%
4.9%
4
Nature Communications
4913 papers in training set
Top 35%
4.4%
5
eLife
5422 papers in training set
Top 19%
4.4%
50% of probability mass above
6
Scientific Reports
3102 papers in training set
Top 35%
3.6%
7
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 0.7%
3.6%
8
Journal of the American Heart Association
119 papers in training set
Top 2%
2.8%
9
Genetic Epidemiology
46 papers in training set
Top 0.4%
1.9%
10
Circulation
66 papers in training set
Top 1%
1.9%
11
Metabolism
14 papers in training set
Top 0.2%
1.8%
12
Nature
575 papers in training set
Top 10%
1.7%
13
Human Molecular Genetics
130 papers in training set
Top 2%
1.7%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 35%
1.5%
15
Circulation: Genomic and Precision Medicine
42 papers in training set
Top 0.8%
1.4%
16
Science
429 papers in training set
Top 16%
1.2%
17
European Journal of Preventive Cardiology
13 papers in training set
Top 0.7%
1.2%
18
PLOS Genetics
756 papers in training set
Top 11%
1.2%
19
PLOS Medicine
98 papers in training set
Top 4%
0.9%
20
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
21
PLOS ONE
4510 papers in training set
Top 64%
0.9%
22
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
23
Journal of Internal Medicine
12 papers in training set
Top 0.6%
0.8%
24
Diabetologia
36 papers in training set
Top 0.9%
0.8%
25
Communications Biology
886 papers in training set
Top 25%
0.7%
26
Science Translational Medicine
111 papers in training set
Top 6%
0.7%
27
Communications Medicine
85 papers in training set
Top 1%
0.7%
28
Human Genetics and Genomics Advances
70 papers in training set
Top 1.0%
0.7%
29
GeroScience
97 papers in training set
Top 2%
0.7%
30
Critical Care
14 papers in training set
Top 0.7%
0.7%