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Meta-Analysis
. 2016 Oct;48(10):1162-70.
doi: 10.1038/ng.3660. Epub 2016 Sep 12.

Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Chunyu Liu  1   2   3 Aldi T Kraja  4 Jennifer A Smith  5 Jennifer A Brody  6 Nora Franceschini  7 Joshua C Bis  6 Kenneth Rice  8 Alanna C Morrison  9 Yingchang Lu  10 Stefan Weiss  11   12 Xiuqing Guo  13 Walter Palmas  14 Lisa W Martin  15 Yii-Der Ida Chen  13 Praveen Surendran  16 Fotios Drenos  17   18 James P Cook  19   20 Paul L Auer  21 Audrey Y Chu  1   3   22 Ayush Giri  23 Wei Zhao  5 Johanna Jakobsdottir  24 Li-An Lin  25 Jeanette M Stafford  26 Najaf Amin  27 Hao Mei  28 Jie Yao  13 Arend Voorman  29 CHD Exome+ ConsortiumExomeBP ConsortiumGoT2DGenes ConsortiumT2D-GENES ConsortiumMartin G Larson  1   2   30 Megan L Grove  9 Albert V Smith  24   31 Shih-Jen Hwang  1   3 Han Chen  32 Tianxiao Huan  1   3 Gulum Kosova  33   34 Nathan O Stitziel  35 Sekar Kathiresan  33   34 Nilesh Samani  36   37 Heribert Schunkert  38   39 Panos Deloukas  40   41 Myocardial Infarction Genetics and CARDIoGRAM Exome ConsortiaMan Li  42 Christian Fuchsberger  43 Cristian Pattaro  43 Mathias Gorski  44 CKDGen ConsortiumCharles Kooperberg  45 George J Papanicolaou  46 Jacques E Rossouw  46 Jessica D Faul  47 Sharon L R Kardia  5 Claude Bouchard  48 Leslie J Raffel  49 André G Uitterlinden  50   51 Oscar H Franco  50 Ramachandran S Vasan  1   52 Christopher J O'Donnell  1   53   54   55 Kent D Taylor  13 Kiang Liu  56 Erwin P Bottinger  10 Omri Gottesman  10 E Warwick Daw  4 Franco Giulianini  22 Santhi Ganesh  57   58 Elias Salfati  59 Tamara B Harris  60 Lenore J Launer  61 Marcus Dörr  11   62 Stephan B Felix  11   62 Rainer Rettig  11   63 Henry Völzke  11   64   65 Eric Kim  13 Wen-Jane Lee  66 I-Te Lee  67   68   69 Wayne H-H Sheu  67   68   70   71 Krystal S Tsosie  23 Digna R Velez Edwards  23   72 Yongmei Liu  73 Adolfo Correa  74 David R Weir  47 Uwe Völker  11   12 Paul M Ridker  22   75 Eric Boerwinkle  9 Vilmundur Gudnason  24   31 Alexander P Reiner  76 Cornelia M van Duijn  27 Ingrid B Borecki  4 Todd L Edwards  23   77 Aravinda Chakravarti  59 Jerome I Rotter  13   78 Bruce M Psaty  6   76   79   80 Ruth J F Loos  10   80 Myriam Fornage  25 Georg B Ehret  59   81 Christopher Newton-Cheh  33   34   82 Daniel Levy  1   3 Daniel I Chasman  22   75
Affiliations
Meta-Analysis

Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Chunyu Liu et al. Nat Genet. 2016 Oct.

Abstract

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

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Figures

Figure 1
Figure 1. Overall study design
In the discovery phase, single variant and gene-based analyses were performed for systolic and diastolic blood pressure, pulse pressure, mean arterial pressure, and hypertension among 146,562 individuals from the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus (CHARGE+) Exome Chip Blood Pressure Consortium. Fifteen variants were significant (P<3.4×10−7) and 62 displayed P<1×10−5. In the follow-up phase, meta-analysis was performed for 77 variants with results from 180,726 individuals from the CHD Exome+ Consortium, ExomeBP Consortium, GoT2DGenes Consortium, T2D–GENES consortium.
Figure 2
Figure 2. NPR1 Gene: Low-frequency and rare variants associated in aggregate with mean arterial pressure
The NPR1 protein (1,061 amino acids) is comprised of three domains: extracellular domain, kinase homology domain, and guanylate cyclase domain. The effects of the 14 low-frequency and rare variants after adjustment for age, age2, sex, and body mass index on mean arterial pressure are shown for higher (tan) or lower (purple) values in mm Hg; dot area is proportional to the number of minor allele carriers. The minor allele of rs35479618 (MAF ∼ 0.012, E967K), was carried by 3,164 participants. The minor allele of rs201787421 (MAF ∼ 2.6×10−5 R782Q), was carried by 5 participants.
Figure 3
Figure 3. DBH Gene: Rare variants associated in aggregate with mean arterial pressure
The DBH protein (617 amino acids) contains the dopamine β-monooxygenase N-terminal (DOMON) domain, the catalytic core (the CuH and CuM domains) and the C-terminal (C–T) domain. The effects of the 27 rare variants after adjustment for age, age2, sex, and body mass index on mean arterial pressure are shown for higher (tan) or lower (purple) values in mm Hg. The minor allele of rs74853476 (MAF ∼ 0.0015), a splicing variant, was carried by 291 participants. The minor allele of rs201681337 (MAF ∼ 7.9×10−5, A301T), was carried by 4 participants.

Comment in

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