Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2.
Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2.
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DOI:
10.1093/hmg/ddab279
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发表时间:
2022-03-21
影响因子:
3.5
通讯作者:
Scholz M
中科院分区:
文献类型:
--
作者:
Pott J;Gådin JR;Theusch E;Kleber ME;Delgado GE;Kirsten H;Hauck SM;Burkhardt R;Scharnagl H;Krauss RM;Loeffler M;März W;Thiery J;Silveira A;Van't Hooft FM;Scholz M
Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key player in lipid metabolism, as it degrades low-density lipoprotein (LDL) receptors from hepatic cell membranes. So far, only variants of the PCSK9 gene locus were found to be associated with PCSK9 levels. Here we aimed to identify novel genetic loci that regulate PCSK9 levels and how they relate to other lipid traits. Additionally, we investigated to what extend the causal effect of PCSK9 on coronary artery disease (CAD) is mediated by low-density lipoprotein–cholesterol (LDL–C). We performed a genome-wide association study meta-analysis of PCSK9 levels in up to 12 721 samples of European ancestry. The estimated heritability was 10.3%, which increased to 12.6% using only samples from patients without statin treatment. We successfully replicated the known PCSK9 hit consisting of three independent signals. Interestingly, in a study of 300 African Americans, we confirmed the locus with a different PCSK9 variant. Beyond PCSK9, our meta-analysis detected three novel loci with genome-wide significance. Co-localization analysis with cis-eQTLs and lipid traits revealed biologically plausible candidate genes at two of them: APOB and TM6SF2. In a bivariate Mendelian Randomization analysis, we detected a strong effect of PCSK9 on LDL-C, but not vice versa. LDL-C mediated 63% of the total causal effect of PCSK9 on CAD. Our study identified novel genetic loci with plausible candidate genes affecting PCSK9 levels. Ethnic heterogeneity was observed at the PCSK9 locus itself. Although the causal effect of PCSK9 on CAD is mainly mediated by LDL-C, an independent direct effect also occurs.
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影响因子:
17.1
作者:
Finan C;Gaulton A;Kruger FA;Lumbers RT;Shah T;Engmann J;Galver L;Kelley R;Karlsson A;Santos R;Overington JP;Hingorani AD;Casas JP
通讯作者:
Casas JP
影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
14.9
作者:
Buniello, Annalisa;MacArthur, Jacqueline A. L.;Parkinson, Helen
通讯作者:
Parkinson, Helen
影响因子:
30.8
作者:
Holmen OL;Zhang H;Fan Y;Hovelson DH;Schmidt EM;Zhou W;Guo Y;Zhang J;Langhammer A;Løchen ML;Ganesh SK;Vatten L;Skorpen F;Dalen H;Zhang J;Pennathur S;Chen J;Platou C;Mathiesen EB;Wilsgaard T;Njølstad I;Boehnke M;Chen YE;Abecasis GR;Hveem K;Willer CJ
通讯作者:
Willer CJ
DOI:
10.1161/atvbaha.111.240549
发表时间:
2012-06-01
影响因子:
8.7
作者:
Chernogubova, Ekaterina;Strawbridge, Rona;van 't Hooft, Ferdinand M.
通讯作者:
van 't Hooft, Ferdinand M.