Genome-wide association analysis of plasma lipidome identifies 495 genetic associations
The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. W...
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| Published in: | Nature communications Vol. 14; no. 1; pp. 6934 - 15 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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London
Nature Publishing Group UK
31.10.2023
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2041-1723, 2041-1723 |
| Online Access: | Get full text |
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| Abstract | The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.
The human plasma lipidome captures risk for cardiometabolic diseases. Here, the authors perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals, revealing genetic links between diseases and lipid species beyond the standard lipids HDL-Cholesterol, LDL-Cholesterol, Triglycerides, and total Cholesterol. |
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| AbstractList | The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.The human plasma lipidome captures risk for cardiometabolic diseases. Here, the authors perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals, revealing genetic links between diseases and lipid species beyond the standard lipids HDL-Cholesterol, LDL-Cholesterol, Triglycerides, and total Cholesterol. The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids. The human plasma lipidome captures risk for cardiometabolic diseases. Here, the authors perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals, revealing genetic links between diseases and lipid species beyond the standard lipids HDL-Cholesterol, LDL-Cholesterol, Triglycerides, and total Cholesterol. The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids. The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids. Abstract The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids. |
| ArticleNumber | 6934 |
| Author | Gerl, Mathias J. Klose, Christian Simons, Kai Tabassum, Rubina Ruotsalainen, Sanni E. Widén, Elisabeth Pirinen, Matti Ripatti, Samuli Ottensmann, Linda |
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| Cites_doi | 10.1038/ng.3977 10.1371/journal.pbio.3000443 10.1371/journal.pgen.1009501 10.1093/hmg/ddr581 10.1016/j.ajhg.2016.10.003 10.3389/fgene.2020.00431 10.1038/s41588-021-00954-4 10.1016/j.cmet.2013.06.013 10.1161/CIRCULATIONAHA.116.023233 10.1186/gb-2011-12-1-r8 10.1161/JAHA.117.007931 10.1038/ng.3300 10.1038/s41588-019-0367-1 10.1038/ng.3809 10.1038/s41586-021-04064-3 10.1016/j.ajhg.2015.11.020 10.1038/nature09270 10.1172/JCI131838 10.1172/jci.insight.121326 10.1093/bioinformatics/btv285 10.1038/ng.3367 10.1038/s41588-020-00751-5 10.1093/nar/gky399 10.1371/journal.pgen.1007889 10.1093/eurheartj/ehz962 10.1111/rssb.12388 10.1155/2020/4020249 10.1038/ng.2797 10.1038/s41523-020-00191-8 10.1161/CIRCGEN.121.003459 10.1093/bioinformatics/btv402 10.1214/12-AOAS586 10.1093/nar/gky1016 10.1375/twin.8.1.53 10.1093/bioinformatics/btx166 10.1093/nar/gkaa420 10.1038/ng.2982 10.1016/j.ajhg.2017.08.012 10.1161/ATVBAHA.118.311199 10.1038/s41467-019-12703-7 10.1194/jlr.S120001025 10.1093/eurheartj/ehw148 10.1371/journal.pgen.1000672 10.3389/fimmu.2022.860586 10.1111/j.0006-341X.1999.00997.x 10.1016/S0140-6736(20)30925-9 10.1093/bib/bbs038 10.1038/s41588-018-0222-9 10.1038/nature10354 10.1093/eurheartj/ehz387 10.1016/j.ijcard.2017.10.026 10.1038/s41588-022-01233-6 10.1002/gepi.22346 10.1371/journal.pgen.1002490 10.1007/s00018-020-03715-4 10.1016/j.ajhg.2008.06.005 10.1161/CIRCULATIONAHA.113.002500 10.1186/s12916-021-02087-1 10.1038/s41467-017-01261-5 10.1161/ATVBAHA.116.307497 10.4062/biomolther.2021.122 10.1093/bioinformatics/btn653 10.1371/journal.pgen.1000282 10.1093/hmg/ddab002 10.1038/ng.3679 10.1093/bib/bbt004 10.1093/bioinformatics/btv766 10.1038/ng.507 10.1038/s41467-019-11954-8 10.1002/ejlt.201500145 10.1371/journal.pone.0029851 10.1093/bioinformatics/btw052 10.1093/nar/gks364 10.1038/s41467-022-30875-7 10.1093/bioinformatics/btw018 10.1038/s41467-022-29143-5 10.1038/ng.291 10.1038/ncomms8208 10.1038/s41431-020-00730-8 10.1038/s41586-022-05473-8 10.1101/621334 10.3389/fphys.2020.00598 |
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| References | Havulinna (CR8) 2016; 36 Kathiresan (CR45) 2009; 41 Devlin, Roeder (CR59) 1999; 55 Hormozdiari (CR81) 2016; 99 Laaksonen (CR7) 2016; 37 Ruotsalainen (CR66) 2021; 29 Pirinen (CR55) 2017; 33 Liu (CR18) 2017; 49 Pei (CR80) 2020; 2020 Herzog (CR48) 2011; 12 Gerl (CR50) 2019; 17 Barbeira (CR72) 2020; 44 CR79 Graham (CR20) 2021; 600 Benner (CR68) 2016; 32 CR31 Price (CR56) 2008; 83 CR75 Helkkula (CR36) 2021; 17 Natesan, Kim (CR78) 2021; 29 Tabassum (CR21) 2019; 10 Browning, Browning (CR54) 2016; 98 Klarin (CR19) 2018; 50 Gallois (CR40) 2019; 10 Widén (CR46) 2022; 15 Oscanoa (CR65) 2020; 48 Marino (CR76) 2020; 6 Tukiainen (CR39) 2012; 21 Dayem Ullah (CR64) 2018; 46 Benner (CR69) 2017; 101 Harshfield (CR34) 2021; 19 Machiela, Chanock (CR60) 2015; 31 Rentzsch, Witten, Cooper, Shendure, Kircher (CR38) 2019; 47 Teslovich (CR15) 2010; 466 Hinrichs (CR71) 2016; 32 Watanabe, Taskesen, van Bochoven, Posthuma (CR42) 2017; 8 Vos (CR1) 2020; 396 Gamazon (CR74) 2015; 47 Herzog (CR49) 2012; 7 Mundra (CR11) 2018; 3 Willer (CR16) 2013; 45 Demirkan (CR26) 2012; 8 Yin (CR44) 2022; 13 Aimo (CR51) 2015; 31 Stegemann (CR5) 2014; 129 Surma (CR47) 2015; 117 Surakka (CR17) 2015; 47 Gieger (CR22) 2008; 4 Long (CR30) 2017; 49 Lotta (CR32) 2021; 53 Shin (CR28) 2014; 46 Suhre (CR25) 2011; 477 Lin, Tabassum, Ripatti, Pirinen (CR37) 2020; 11 Liebisch (CR52) 2020; 61 Dayem Ullah, Lemoine, Chelala (CR63) 2013; 14 Peterson (CR9) 2018; 7 Wang, Sarkar, Carbonetto, Stephens (CR82) 2020; 82 Aragam (CR43) 2022; 54 Borén (CR3) 2020; 41 Hicks (CR23) 2009; 5 Hilvo (CR13) 2020; 41 Sun (CR77) 2022; 13 McGurk (CR33) 2021; 30 Illig (CR24) 2010; 42 Loh (CR53) 2016; 48 Draisma (CR29) 2015; 6 Wienke, Herskind, Christensen, Skytthe, Yashin (CR2) 2005; 8 Cadby (CR35) 2022; 13 Razquin (CR12) 2018; 253 Rhee (CR27) 2013; 18 Barbeira (CR73) 2019; 15 Chelala, Khan, Lemoine (CR61) 2009; 25 Kuhn, Haussler, Kent (CR70) 2013; 14 Pirinen, Donnelly, Spencer (CR57) 2013; 7 Dayem Ullah, Lemoine, Chelala (CR62) 2012; 40 Mancuso (CR41) 2019; 51 Cichonska (CR58) 2016; 32 Tabassum, Ripatti (CR4) 2021; 78 Meeusen (CR10) 2018; 38 Jiang, Zheng, Fang, Yang (CR67) 2021; 53 Alshehry (CR6) 2016; 134 Poss (CR14) 2020; 130 M Hilvo (42532_CR13) 2020; 41 A Demirkan (42532_CR26) 2012; 8 N Mancuso (42532_CR41) 2019; 51 T Illig (42532_CR24) 2010; 42 EP Rhee (42532_CR27) 2013; 18 K G Aragam (42532_CR43) 2022; 54 MA Surma (42532_CR47) 2015; 117 R Tabassum (42532_CR4) 2021; 78 N Marino (42532_CR76) 2020; 6 PA Mundra (42532_CR11) 2018; 3 KA McGurk (42532_CR33) 2021; 30 JW Meeusen (42532_CR10) 2018; 38 R Tabassum (42532_CR21) 2019; 10 T Vos (42532_CR1) 2020; 396 J Borén (42532_CR3) 2020; 41 J Lin (42532_CR37) 2020; 11 G Wang (42532_CR82) 2020; 82 E Widén (42532_CR46) 2022; 15 AZ Dayem Ullah (42532_CR64) 2018; 46 RM Kuhn (42532_CR70) 2013; 14 C Benner (42532_CR69) 2017; 101 S-Y Shin (42532_CR28) 2014; 46 MJ Gerl (42532_CR50) 2019; 17 A Cichonska (42532_CR58) 2016; 32 M Pirinen (42532_CR57) 2013; 7 B Devlin (42532_CR59) 1999; 55 ER Gamazon (42532_CR74) 2015; 47 G Cadby (42532_CR35) 2022; 13 AZ Dayem Ullah (42532_CR63) 2013; 14 C Benner (42532_CR68) 2016; 32 AS Hinrichs (42532_CR71) 2016; 32 AS Havulinna (42532_CR8) 2016; 36 D Klarin (42532_CR19) 2018; 50 R Herzog (42532_CR49) 2012; 7 A Barbeira (42532_CR72) 2020; 44 C Chelala (42532_CR61) 2009; 25 L Jiang (42532_CR67) 2021; 53 C Stegemann (42532_CR5) 2014; 129 BL Browning (42532_CR54) 2016; 98 K Pei (42532_CR80) 2020; 2020 P Rentzsch (42532_CR38) 2019; 47 ZH Alshehry (42532_CR6) 2016; 134 S Kathiresan (42532_CR45) 2009; 41 M Pirinen (42532_CR55) 2017; 33 V Natesan (42532_CR78) 2021; 29 X Yin (42532_CR44) 2022; 13 K Watanabe (42532_CR42) 2017; 8 CJ Willer (42532_CR16) 2013; 45 K Suhre (42532_CR25) 2011; 477 P-R Loh (42532_CR53) 2016; 48 P Helkkula (42532_CR36) 2021; 17 L Aimo (42532_CR51) 2015; 31 DJ Liu (42532_CR18) 2017; 49 C Gieger (42532_CR22) 2008; 4 T Long (42532_CR30) 2017; 49 A Gallois (42532_CR40) 2019; 10 R Herzog (42532_CR48) 2011; 12 J Oscanoa (42532_CR65) 2020; 48 SE Ruotsalainen (42532_CR66) 2021; 29 EL Harshfield (42532_CR34) 2021; 19 MJ Machiela (42532_CR60) 2015; 31 R Laaksonen (42532_CR7) 2016; 37 T Tukiainen (42532_CR39) 2012; 21 G Liebisch (42532_CR52) 2020; 61 H HM Draisma (42532_CR29) 2015; 6 A Wienke (42532_CR2) 2005; 8 42532_CR31 42532_CR75 C Razquin (42532_CR12) 2018; 253 W Sun (42532_CR77) 2022; 13 AL Price (42532_CR56) 2008; 83 42532_CR79 LR Peterson (42532_CR9) 2018; 7 SE Graham (42532_CR20) 2021; 600 AZ Dayem Ullah (42532_CR62) 2012; 40 I Surakka (42532_CR17) 2015; 47 TM Teslovich (42532_CR15) 2010; 466 AA Hicks (42532_CR23) 2009; 5 F Hormozdiari (42532_CR81) 2016; 99 AM Poss (42532_CR14) 2020; 130 LA Lotta (42532_CR32) 2021; 53 AN Barbeira (42532_CR73) 2019; 15 |
| References_xml | – volume: 49 start-page: 1758 year: 2017 end-page: 1766 ident: CR18 article-title: Exome-wide association study of plasma lipids in >300,000 individuals publication-title: Nat. Genet. doi: 10.1038/ng.3977 – volume: 17 start-page: e3000443 year: 2019 ident: CR50 article-title: Machine learning of human plasma lipidomes for obesity estimation in a large population cohort publication-title: PLoS Biol. doi: 10.1371/journal.pbio.3000443 – volume: 17 start-page: e1009501 year: 2021 ident: CR36 article-title: ANGPTL8 protein-truncating variant associated with lower serum triglycerides and risk of coronary disease publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1009501 – volume: 21 start-page: 1444 year: 2012 end-page: 1455 ident: CR39 article-title: Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddr581 – volume: 99 start-page: 1245 year: 2016 end-page: 1260 ident: CR81 article-title: Colocalization of GWAS and eQTL signals detects target genes publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2016.10.003 – volume: 11 start-page: 431 year: 2020 ident: CR37 article-title: MetaPhat: detecting and decomposing multivariate associations from univariate genome-wide association statistics publication-title: Front. Genet. doi: 10.3389/fgene.2020.00431 – volume: 53 start-page: 1616 year: 2021 end-page: 1621 ident: CR67 article-title: A generalized linear mixed model association tool for biobank-scale data publication-title: Nat. Genet. doi: 10.1038/s41588-021-00954-4 – volume: 18 start-page: 130 year: 2013 end-page: 143 ident: CR27 article-title: A genome-wide association study of the human metabolome in a community-based cohort publication-title: Cell Metab. doi: 10.1016/j.cmet.2013.06.013 – volume: 134 start-page: 1637 year: 2016 end-page: 1650 ident: CR6 article-title: Plasma lipidomic profiles improve on traditional risk factors for the prediction of cardiovascular events in type 2 diabetes mellitus publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.116.023233 – volume: 12 year: 2011 ident: CR48 article-title: A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language publication-title: Genome Biol. doi: 10.1186/gb-2011-12-1-r8 – volume: 7 start-page: e007931 year: 2018 ident: CR9 article-title: Ceramide remodeling and risk of cardiovascular events and mortality publication-title: J. Am. Heart Assoc. doi: 10.1161/JAHA.117.007931 – volume: 47 start-page: 589 year: 2015 end-page: 597 ident: CR17 article-title: The impact of low-frequency and rare variants on lipid levels publication-title: Nat. Genet. doi: 10.1038/ng.3300 – volume: 51 start-page: 675 year: 2019 end-page: 682 ident: CR41 article-title: Probabilistic fine-mapping of transcriptome-wide association studies publication-title: Nat. Genet. doi: 10.1038/s41588-019-0367-1 – volume: 49 start-page: 568 year: 2017 end-page: 578 ident: CR30 article-title: Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites publication-title: Nat. Genet. doi: 10.1038/ng.3809 – volume: 600 start-page: 675 year: 2021 end-page: 679 ident: CR20 article-title: The power of genetic diversity in genome-wide association studies of lipids publication-title: Nature doi: 10.1038/s41586-021-04064-3 – volume: 98 start-page: 116 year: 2016 end-page: 126 ident: CR54 article-title: Genotype imputation with millions of reference samples publication-title: Am. J. Hum. Genet doi: 10.1016/j.ajhg.2015.11.020 – volume: 466 start-page: 707 year: 2010 end-page: 713 ident: CR15 article-title: Biological, clinical and population relevance of 95 loci for blood lipids publication-title: Nature doi: 10.1038/nature09270 – volume: 130 start-page: 1363 year: 2020 end-page: 1376 ident: CR14 article-title: Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease publication-title: J. Clin. Invest. doi: 10.1172/JCI131838 – volume: 3 start-page: e121326 year: 2018 ident: CR11 article-title: Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention publication-title: JCI Insight doi: 10.1172/jci.insight.121326 – volume: 31 start-page: 2860 year: 2015 end-page: 2866 ident: CR51 article-title: The SwissLipids knowledgebase for lipid biology publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv285 – volume: 47 start-page: 1091 year: 2015 end-page: 1098 ident: CR74 article-title: A gene-based association method for mapping traits using reference transcriptome data publication-title: Nat. Genet. doi: 10.1038/ng.3367 – volume: 53 start-page: 54 year: 2021 end-page: 64 ident: CR32 article-title: A cross-platform approach identifies genetic regulators of human metabolism and health publication-title: Nat. Genet. doi: 10.1038/s41588-020-00751-5 – volume: 46 start-page: W109 year: 2018 end-page: W113 ident: CR64 article-title: SNPnexus: assessing the functional relevance of genetic variation to facilitate the promise of precision medicine publication-title: Nucleic Acids Res. doi: 10.1093/nar/gky399 – ident: CR75 – volume: 15 start-page: e1007889 year: 2019 ident: CR73 article-title: Integrating predicted transcriptome from multiple tissues improves association detection publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1007889 – volume: 41 start-page: 2313 year: 2020 end-page: 2330 ident: CR3 article-title: Low-density lipoproteins cause atherosclerotic cardiovascular disease: pathophysiological, genetic, and therapeutic insights: a consensus statement from the European Atherosclerosis Society Consensus Panel publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehz962 – volume: 82 start-page: 1273 year: 2020 end-page: 1300 ident: CR82 article-title: A simple new approach to variable selection in regression, with application to genetic fine mapping publication-title: J. R. Stat. Soc. Ser. B Stat. Methodol. doi: 10.1111/rssb.12388 – volume: 2020 start-page: 4020249 year: 2020 ident: CR80 article-title: An overview of lipid metabolism and nonalcoholic fatty liver disease publication-title: Biomed. Res. Int. doi: 10.1155/2020/4020249 – volume: 45 start-page: 1274 year: 2013 end-page: 1283 ident: CR16 article-title: Discovery and refinement of loci associated with lipid levels publication-title: Nat. Genet. doi: 10.1038/ng.2797 – volume: 6 start-page: 50 year: 2020 ident: CR76 article-title: Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis publication-title: npj Breast Cancer doi: 10.1038/s41523-020-00191-8 – volume: 15 start-page: e003459 year: 2022 ident: CR46 article-title: How communicating polygenic and clinical risk for atherosclerotic cardiovascular disease impacts health behavior: an observational follow-up study publication-title: Circ. Genom. Precis. Med. doi: 10.1161/CIRCGEN.121.003459 – volume: 31 start-page: 3555 year: 2015 end-page: 3557 ident: CR60 article-title: LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv402 – volume: 7 start-page: 369 year: 2013 end-page: 390 ident: CR57 article-title: Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies publication-title: Ann. Appl. Stat. doi: 10.1214/12-AOAS586 – volume: 47 start-page: D886 year: 2019 end-page: D894 ident: CR38 article-title: CADD: predicting the deleteriousness of variants throughout the human genome publication-title: Nucleic Acids Res. doi: 10.1093/nar/gky1016 – volume: 8 start-page: 53 year: 2005 end-page: 59 ident: CR2 article-title: The heritability of CHD mortality in Danish twins after controlling for smoking and BMI publication-title: Twin Res. Hum. Genet. doi: 10.1375/twin.8.1.53 – volume: 33 start-page: 2405 year: 2017 end-page: 2407 ident: CR55 article-title: biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements publication-title: Bioinformatics doi: 10.1093/bioinformatics/btx166 – volume: 48 start-page: W185 year: 2020 end-page: W192 ident: CR65 article-title: SNPnexus: a web server for functional annotation of human genome sequence variation (2020 update) publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa420 – volume: 46 start-page: 543 year: 2014 end-page: 550 ident: CR28 article-title: An atlas of genetic influences on human blood metabolites publication-title: Nat. Genet. doi: 10.1038/ng.2982 – volume: 101 start-page: 539 year: 2017 end-page: 551 ident: CR69 article-title: Prospects of fine-mapping trait-associated genomic regions by using summary statistics from genome-wide association studies publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2017.08.012 – volume: 38 start-page: 1933 year: 2018 end-page: 1939 ident: CR10 article-title: Plasma ceramides publication-title: Arterioscler Thromb. Vasc. Biol. doi: 10.1161/ATVBAHA.118.311199 – volume: 10 year: 2019 ident: CR40 article-title: A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context publication-title: Nat. Commun. doi: 10.1038/s41467-019-12703-7 – volume: 61 start-page: 1539 year: 2020 end-page: 1555 ident: CR52 article-title: Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures publication-title: J. Lipid Res. doi: 10.1194/jlr.S120001025 – volume: 37 start-page: 1967 year: 2016 end-page: 1976 ident: CR7 article-title: Plasma ceramides predict cardiovascular death in patients with stable coronary artery disease and acute coronary syndromes beyond LDL-cholesterol publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehw148 – volume: 5 start-page: e1000672 year: 2009 ident: CR23 article-title: Genetic determinants of circulating sphingolipid concentrations in European populations publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000672 – volume: 13 start-page: 860586 year: 2022 ident: CR77 article-title: Lipid metabolism: immune regulation and therapeutic prospectives in systemic lupus erythematosus publication-title: Front. Immunol. doi: 10.3389/fimmu.2022.860586 – volume: 55 start-page: 997 year: 1999 end-page: 1004 ident: CR59 article-title: Genomic control for association studies publication-title: Biometrics doi: 10.1111/j.0006-341X.1999.00997.x – volume: 396 start-page: 1204 year: 2020 end-page: 1222 ident: CR1 article-title: Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 publication-title: Lancet doi: 10.1016/S0140-6736(20)30925-9 – volume: 14 start-page: 144 year: 2013 end-page: 161 ident: CR70 article-title: The UCSC genome browser and associated tools publication-title: Brief Bioinform. doi: 10.1093/bib/bbs038 – volume: 50 start-page: 1514 year: 2018 end-page: 1523 ident: CR19 article-title: Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program publication-title: Nat. Genet. doi: 10.1038/s41588-018-0222-9 – volume: 477 start-page: 54 year: 2011 end-page: 60 ident: CR25 article-title: Human metabolic individuality in biomedical and pharmaceutical research publication-title: Nature doi: 10.1038/nature10354 – ident: CR79 – volume: 41 start-page: 371 year: 2020 end-page: 380 ident: CR13 article-title: Development and validation of a ceramide- and phospholipid-based cardiovascular risk estimation score for coronary artery disease patients publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehz387 – volume: 253 start-page: 126 year: 2018 end-page: 132 ident: CR12 article-title: Plasma lipidome patterns associated with cardiovascular risk in the PREDIMED trial: a case-cohort study publication-title: Int J. Cardiol. doi: 10.1016/j.ijcard.2017.10.026 – volume: 54 start-page: 1803 year: 2022 end-page: 1815 ident: CR43 article-title: Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants publication-title: Nat. Genet. doi: 10.1038/s41588-022-01233-6 – volume: 44 start-page: 854 year: 2020 end-page: 867 ident: CR72 article-title: Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identification publication-title: Genet. Epidemiol. doi: 10.1002/gepi.22346 – volume: 8 start-page: e1002490 year: 2012 ident: CR26 article-title: Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002490 – volume: 78 start-page: 2565 year: 2021 end-page: 2584 ident: CR4 article-title: Integrating lipidomics and genomics: emerging tools to understand cardiovascular diseases publication-title: Cell Mol. Life Sci. doi: 10.1007/s00018-020-03715-4 – volume: 83 start-page: 132 year: 2008 end-page: 135 ident: CR56 article-title: Long-range LD can confound genome scans in admixed populations publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2008.06.005 – volume: 129 start-page: 1821 year: 2014 end-page: 1831 ident: CR5 article-title: Lipidomics profiling and risk of cardiovascular disease in the prospective population-based Bruneck study publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.113.002500 – volume: 19 year: 2021 ident: CR34 article-title: Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci publication-title: BMC Med. doi: 10.1186/s12916-021-02087-1 – volume: 8 year: 2017 ident: CR42 article-title: Functional mapping and annotation of genetic associations with FUMA publication-title: Nat. Commun. doi: 10.1038/s41467-017-01261-5 – volume: 36 start-page: 2424 year: 2016 end-page: 2430 ident: CR8 article-title: Circulating ceramides predict cardiovascular outcomes in the population-based FINRISK 2002 cohort publication-title: Arterioscler. Thromb. Vasc. Biol. doi: 10.1161/ATVBAHA.116.307497 – volume: 29 start-page: 596 year: 2021 end-page: 604 ident: CR78 article-title: Lipid metabolism, disorders and therapeutic drugs – review publication-title: Biomol. Ther. doi: 10.4062/biomolther.2021.122 – volume: 25 start-page: 655 year: 2009 end-page: 661 ident: CR61 article-title: SNPnexus: a web database for functional annotation of newly discovered and public domain single nucleotide polymorphisms publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn653 – volume: 4 start-page: e1000282 year: 2008 ident: CR22 article-title: Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000282 – volume: 30 start-page: 500 year: 2021 end-page: 513 ident: CR33 article-title: Heritability and family-based GWAS analyses of the N-acyl ethanolamine and ceramide plasma lipidome publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddab002 – volume: 48 start-page: 1443 year: 2016 end-page: 1448 ident: CR53 article-title: Reference-based phasing using the Haplotype Reference Consortium panel publication-title: Nat. Genet. doi: 10.1038/ng.3679 – volume: 14 start-page: 437 year: 2013 end-page: 447 ident: CR63 article-title: A practical guide for the functional annotation of genetic variations using SNPnexus publication-title: Brief Bioinform. doi: 10.1093/bib/bbt004 – volume: 32 start-page: 1430 year: 2016 end-page: 1432 ident: CR71 article-title: UCSC Data Integrator and Variant Annotation Integrator publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv766 – volume: 42 start-page: 137 year: 2010 end-page: 141 ident: CR24 article-title: A genome-wide perspective of genetic variation in human metabolism publication-title: Nat. Genet. doi: 10.1038/ng.507 – ident: CR31 – volume: 10 year: 2019 ident: CR21 article-title: Genetic architecture of human plasma lipidome and its link to cardiovascular disease publication-title: Nat. Commun. doi: 10.1038/s41467-019-11954-8 – volume: 117 start-page: 1540 year: 2015 end-page: 1549 ident: CR47 article-title: An automated shotgun lipidomics platform for high throughput, comprehensive, and quantitative analysis of blood plasma intact lipids publication-title: Eur. J. Lipid Sci. Technol. doi: 10.1002/ejlt.201500145 – volume: 7 start-page: e29851 year: 2012 ident: CR49 article-title: LipidXplorer: a software for consensual cross-platform lipidomics publication-title: PLoS ONE doi: 10.1371/journal.pone.0029851 – volume: 32 start-page: 1981 year: 2016 end-page: 1989 ident: CR58 article-title: metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw052 – volume: 40 start-page: W65 year: 2012 end-page: W70 ident: CR62 article-title: SNPnexus: a web server for functional annotation of novel and publicly known genetic variants (2012 update) publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks364 – volume: 13 start-page: 3124 year: 2022 ident: CR35 article-title: Comprehensive genetic analysis of the human lipidome identifies loci associated with lipid homeostasis with links to coronary artery disease publication-title: Nat. Commun. doi: 10.1038/s41467-022-30875-7 – volume: 32 start-page: 1493 year: 2016 end-page: 1501 ident: CR68 article-title: FINEMAP: efficient variable selection using summary data from genome-wide association studies publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw018 – volume: 13 start-page: 1644 year: 2022 ident: CR44 article-title: Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci publication-title: Nat. Commun. doi: 10.1038/s41467-022-29143-5 – volume: 41 start-page: 56 year: 2009 end-page: 65 ident: CR45 article-title: Common variants at 30 loci contribute to polygenic dyslipidemia publication-title: Nat. Genet. doi: 10.1038/ng.291 – volume: 6 start-page: 7208 year: 2015 ident: CR29 article-title: Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels publication-title: Nat. Commun. doi: 10.1038/ncomms8208 – volume: 29 start-page: 309 year: 2021 end-page: 324 ident: CR66 article-title: An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease publication-title: Eur. J. Hum. Genet. doi: 10.1038/s41431-020-00730-8 – volume: 32 start-page: 1493 year: 2016 ident: 42532_CR68 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw018 – volume: 6 start-page: 7208 year: 2015 ident: 42532_CR29 publication-title: Nat. Commun. doi: 10.1038/ncomms8208 – volume: 31 start-page: 3555 year: 2015 ident: 42532_CR60 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv402 – volume: 600 start-page: 675 year: 2021 ident: 42532_CR20 publication-title: Nature doi: 10.1038/s41586-021-04064-3 – volume: 32 start-page: 1430 year: 2016 ident: 42532_CR71 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv766 – volume: 477 start-page: 54 year: 2011 ident: 42532_CR25 publication-title: Nature doi: 10.1038/nature10354 – volume: 32 start-page: 1981 year: 2016 ident: 42532_CR58 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw052 – volume: 45 start-page: 1274 year: 2013 ident: 42532_CR16 publication-title: Nat. Genet. doi: 10.1038/ng.2797 – volume: 11 start-page: 431 year: 2020 ident: 42532_CR37 publication-title: Front. Genet. doi: 10.3389/fgene.2020.00431 – volume: 15 start-page: e1007889 year: 2019 ident: 42532_CR73 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1007889 – volume: 49 start-page: 1758 year: 2017 ident: 42532_CR18 publication-title: Nat. Genet. doi: 10.1038/ng.3977 – volume: 83 start-page: 132 year: 2008 ident: 42532_CR56 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2008.06.005 – volume: 130 start-page: 1363 year: 2020 ident: 42532_CR14 publication-title: J. Clin. Invest. doi: 10.1172/JCI131838 – volume: 101 start-page: 539 year: 2017 ident: 42532_CR69 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2017.08.012 – volume: 38 start-page: 1933 year: 2018 ident: 42532_CR10 publication-title: Arterioscler Thromb. Vasc. Biol. doi: 10.1161/ATVBAHA.118.311199 – volume: 7 start-page: e29851 year: 2012 ident: 42532_CR49 publication-title: PLoS ONE doi: 10.1371/journal.pone.0029851 – volume: 8 start-page: e1002490 year: 2012 ident: 42532_CR26 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002490 – volume: 61 start-page: 1539 year: 2020 ident: 42532_CR52 publication-title: J. Lipid Res. doi: 10.1194/jlr.S120001025 – volume: 46 start-page: 543 year: 2014 ident: 42532_CR28 publication-title: Nat. Genet. doi: 10.1038/ng.2982 – volume: 134 start-page: 1637 year: 2016 ident: 42532_CR6 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.116.023233 – volume: 51 start-page: 675 year: 2019 ident: 42532_CR41 publication-title: Nat. Genet. doi: 10.1038/s41588-019-0367-1 – volume: 82 start-page: 1273 year: 2020 ident: 42532_CR82 publication-title: J. R. Stat. Soc. Ser. B Stat. Methodol. doi: 10.1111/rssb.12388 – volume: 49 start-page: 568 year: 2017 ident: 42532_CR30 publication-title: Nat. Genet. doi: 10.1038/ng.3809 – volume: 18 start-page: 130 year: 2013 ident: 42532_CR27 publication-title: Cell Metab. doi: 10.1016/j.cmet.2013.06.013 – volume: 17 start-page: e1009501 year: 2021 ident: 42532_CR36 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1009501 – volume: 13 start-page: 860586 year: 2022 ident: 42532_CR77 publication-title: Front. Immunol. doi: 10.3389/fimmu.2022.860586 – volume: 99 start-page: 1245 year: 2016 ident: 42532_CR81 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2016.10.003 – volume: 44 start-page: 854 year: 2020 ident: 42532_CR72 publication-title: Genet. Epidemiol. doi: 10.1002/gepi.22346 – volume: 13 start-page: 3124 year: 2022 ident: 42532_CR35 publication-title: Nat. Commun. doi: 10.1038/s41467-022-30875-7 – volume: 13 start-page: 1644 year: 2022 ident: 42532_CR44 publication-title: Nat. Commun. doi: 10.1038/s41467-022-29143-5 – volume: 117 start-page: 1540 year: 2015 ident: 42532_CR47 publication-title: Eur. J. Lipid Sci. Technol. doi: 10.1002/ejlt.201500145 – volume: 8 start-page: 53 year: 2005 ident: 42532_CR2 publication-title: Twin Res. Hum. Genet. doi: 10.1375/twin.8.1.53 – volume: 42 start-page: 137 year: 2010 ident: 42532_CR24 publication-title: Nat. Genet. doi: 10.1038/ng.507 – ident: 42532_CR75 doi: 10.1038/s41586-022-05473-8 – volume: 48 start-page: 1443 year: 2016 ident: 42532_CR53 publication-title: Nat. Genet. doi: 10.1038/ng.3679 – volume: 15 start-page: e003459 year: 2022 ident: 42532_CR46 publication-title: Circ. Genom. Precis. Med. doi: 10.1161/CIRCGEN.121.003459 – volume: 30 start-page: 500 year: 2021 ident: 42532_CR33 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddab002 – volume: 47 start-page: D886 year: 2019 ident: 42532_CR38 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gky1016 – volume: 4 start-page: e1000282 year: 2008 ident: 42532_CR22 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000282 – volume: 25 start-page: 655 year: 2009 ident: 42532_CR61 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn653 – volume: 396 start-page: 1204 year: 2020 ident: 42532_CR1 publication-title: Lancet doi: 10.1016/S0140-6736(20)30925-9 – volume: 41 start-page: 56 year: 2009 ident: 42532_CR45 publication-title: Nat. Genet. doi: 10.1038/ng.291 – volume: 14 start-page: 144 year: 2013 ident: 42532_CR70 publication-title: Brief Bioinform. doi: 10.1093/bib/bbs038 – volume: 2020 start-page: 4020249 year: 2020 ident: 42532_CR80 publication-title: Biomed. Res. Int. doi: 10.1155/2020/4020249 – volume: 19 year: 2021 ident: 42532_CR34 publication-title: BMC Med. doi: 10.1186/s12916-021-02087-1 – volume: 41 start-page: 2313 year: 2020 ident: 42532_CR3 publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehz962 – volume: 36 start-page: 2424 year: 2016 ident: 42532_CR8 publication-title: Arterioscler. Thromb. Vasc. Biol. doi: 10.1161/ATVBAHA.116.307497 – volume: 7 start-page: 369 year: 2013 ident: 42532_CR57 publication-title: Ann. Appl. Stat. doi: 10.1214/12-AOAS586 – volume: 12 year: 2011 ident: 42532_CR48 publication-title: Genome Biol. doi: 10.1186/gb-2011-12-1-r8 – ident: 42532_CR31 doi: 10.1101/621334 – volume: 33 start-page: 2405 year: 2017 ident: 42532_CR55 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btx166 – volume: 5 start-page: e1000672 year: 2009 ident: 42532_CR23 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000672 – volume: 29 start-page: 309 year: 2021 ident: 42532_CR66 publication-title: Eur. J. Hum. Genet. doi: 10.1038/s41431-020-00730-8 – volume: 98 start-page: 116 year: 2016 ident: 42532_CR54 publication-title: Am. J. Hum. Genet doi: 10.1016/j.ajhg.2015.11.020 – volume: 29 start-page: 596 year: 2021 ident: 42532_CR78 publication-title: Biomol. Ther. doi: 10.4062/biomolther.2021.122 – volume: 6 start-page: 50 year: 2020 ident: 42532_CR76 publication-title: npj Breast Cancer doi: 10.1038/s41523-020-00191-8 – volume: 21 start-page: 1444 year: 2012 ident: 42532_CR39 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddr581 – volume: 129 start-page: 1821 year: 2014 ident: 42532_CR5 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.113.002500 – volume: 53 start-page: 54 year: 2021 ident: 42532_CR32 publication-title: Nat. Genet. doi: 10.1038/s41588-020-00751-5 – volume: 55 start-page: 997 year: 1999 ident: 42532_CR59 publication-title: Biometrics doi: 10.1111/j.0006-341X.1999.00997.x – volume: 53 start-page: 1616 year: 2021 ident: 42532_CR67 publication-title: Nat. Genet. doi: 10.1038/s41588-021-00954-4 – volume: 54 start-page: 1803 year: 2022 ident: 42532_CR43 publication-title: Nat. Genet. doi: 10.1038/s41588-022-01233-6 – volume: 78 start-page: 2565 year: 2021 ident: 42532_CR4 publication-title: Cell Mol. Life Sci. doi: 10.1007/s00018-020-03715-4 – volume: 40 start-page: W65 year: 2012 ident: 42532_CR62 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks364 – volume: 10 year: 2019 ident: 42532_CR40 publication-title: Nat. Commun. doi: 10.1038/s41467-019-12703-7 – volume: 46 start-page: W109 year: 2018 ident: 42532_CR64 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gky399 – volume: 10 year: 2019 ident: 42532_CR21 publication-title: Nat. Commun. doi: 10.1038/s41467-019-11954-8 – volume: 14 start-page: 437 year: 2013 ident: 42532_CR63 publication-title: Brief Bioinform. doi: 10.1093/bib/bbt004 – volume: 48 start-page: W185 year: 2020 ident: 42532_CR65 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkaa420 – volume: 17 start-page: e3000443 year: 2019 ident: 42532_CR50 publication-title: PLoS Biol. doi: 10.1371/journal.pbio.3000443 – volume: 31 start-page: 2860 year: 2015 ident: 42532_CR51 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv285 – volume: 7 start-page: e007931 year: 2018 ident: 42532_CR9 publication-title: J. Am. Heart Assoc. doi: 10.1161/JAHA.117.007931 – volume: 50 start-page: 1514 year: 2018 ident: 42532_CR19 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0222-9 – volume: 41 start-page: 371 year: 2020 ident: 42532_CR13 publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehz387 – volume: 37 start-page: 1967 year: 2016 ident: 42532_CR7 publication-title: Eur. Heart J. doi: 10.1093/eurheartj/ehw148 – volume: 466 start-page: 707 year: 2010 ident: 42532_CR15 publication-title: Nature doi: 10.1038/nature09270 – volume: 253 start-page: 126 year: 2018 ident: 42532_CR12 publication-title: Int J. Cardiol. doi: 10.1016/j.ijcard.2017.10.026 – volume: 47 start-page: 589 year: 2015 ident: 42532_CR17 publication-title: Nat. Genet. doi: 10.1038/ng.3300 – volume: 47 start-page: 1091 year: 2015 ident: 42532_CR74 publication-title: Nat. Genet. doi: 10.1038/ng.3367 – volume: 3 start-page: e121326 year: 2018 ident: 42532_CR11 publication-title: JCI Insight doi: 10.1172/jci.insight.121326 – volume: 8 year: 2017 ident: 42532_CR42 publication-title: Nat. Commun. doi: 10.1038/s41467-017-01261-5 – ident: 42532_CR79 doi: 10.3389/fphys.2020.00598 |
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| Title | Genome-wide association analysis of plasma lipidome identifies 495 genetic associations |
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