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. 2019 Jan;51(1):51-62.
doi: 10.1038/s41588-018-0303-9. Epub 2018 Dec 21.

Trans-ethnic association study of blood pressure determinants in over 750,000 individuals

Ayush Giri #  1   2 Jacklyn N Hellwege #  2   3 Jacob M Keaton #  2   3 Jihwan Park #  4 Chengxiang Qiu  4 Helen R Warren  5   6 Eric S Torstenson  2   3 Csaba P Kovesdy  7 Yan V Sun  8   9 Otis D Wilson  2   10 Cassianne Robinson-Cohen  10 Christianne L Roumie  11   12 Cecilia P Chung  13 Kelly A Birdwell  10   14 Scott M Damrauer  15   16 Scott L DuVall  17   18 Derek Klarin  19   20   21   22 Kelly Cho  23   24   25 Yu Wang  26 Evangelos Evangelou  27   28 Claudia P Cabrera  5   6 Louise V Wain  29   30 Rojesh Shrestha  4 Brian S Mautz  3 Elvis A Akwo  10 Muralidharan Sargurupremraj  31 Stéphanie Debette  31   32 Michael Boehnke  33 Laura J Scott  33 Jian'an Luan  34 Jing-Hua Zhao  34 Sara M Willems  34 Sébastien Thériault  35   36 Nabi Shah  37   38 Christopher Oldmeadow  39 Peter Almgren  40 Ruifang Li-Gao  41 Niek Verweij  42 Thibaud S Boutin  43 Massimo Mangino  44   45 Ioanna Ntalla  5 Elena Feofanova  46 Praveen Surendran  47 James P Cook  48 Savita Karthikeyan  47 Najim Lahrouchi  21   49   50 Chunyu Liu  51 Nuno Sepúlveda  52 Tom G Richardson  53 Aldi Kraja  54   55   56 Philippe Amouyel  57 Martin Farrall  58 Neil R Poulter  59 Understanding Society Scientific GroupInternational Consortium for Blood PressureBlood Pressure-International Consortium of Exome Chip StudiesMarkku Laakso  60 Eleftheria Zeggini  61 Peter Sever  62 Robert A Scott  34 Claudia Langenberg  34 Nicholas J Wareham  34 David Conen  63 Colin Neil Alexander Palmer  37 John Attia  39   64 Daniel I Chasman  65 Paul M Ridker  65 Olle Melander  40 Dennis Owen Mook-Kanamori  41 Pim van der Harst  42 Francesco Cucca  66   67 David Schlessinger  68 Caroline Hayward  43 Tim D Spector  44 Marjo-Riitta Jarvelin  69   70   71   72   73 Branwen J Hennig  74   75   76 Nicholas J Timpson  53 Wei-Qi Wei  77 Joshua C Smith  77 Yaomin Xu  26   77 Michael E Matheny  11   12   26   77 Edward E Siew  10   12 Cecilia Lindgren  21   78   79 Karl-Heinz Herzig  80   81 George Dedoussis  82 Joshua C Denny  77 Bruce M Psaty  83   84   85   86 Joanna M M Howson  47 Patricia B Munroe  5   6 Christopher Newton-Cheh  49 Mark J Caulfield  5   6 Paul Elliott  69   87   88 J Michael Gaziano  23   65 John Concato  89   90 Peter W F Wilson  91   92 Philip S Tsao  93   94 Digna R Velez Edwards  1   2   77 Katalin Susztak  4   95 Million Veteran ProgramChristopher J O'Donnell  65   96 Adriana M Hung  97   98 Todd L Edwards  99   100
Affiliations

Trans-ethnic association study of blood pressure determinants in over 750,000 individuals

Ayush Giri et al. Nat Genet. 2019 Jan.

Abstract

In this trans-ethnic multi-omic study, we reinterpret the genetic architecture of blood pressure to identify genes, tissues, phenomes and medication contexts of blood pressure homeostasis. We discovered 208 novel common blood pressure SNPs and 53 rare variants in genome-wide association studies of systolic, diastolic and pulse pressure in up to 776,078 participants from the Million Veteran Program (MVP) and collaborating studies, with analysis of the blood pressure clinical phenome in MVP. Our transcriptome-wide association study detected 4,043 blood pressure associations with genetically predicted gene expression of 840 genes in 45 tissues, and mouse renal single-cell RNA sequencing identified upregulated blood pressure genes in kidney tubule cells.

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Figures

Figure 1.
Figure 1.. Study design schematic.
Flowchart depicting strategy for the three association analysis strategies (common, rare, and exonic variants), as well as replication selection criteria and numbers of samples and SNPs by stage. Subsequent TWAS and PheWAS analyses using common variant summary statistics are also presented. SBP, systolic blood pressure; DBP, diastolic blood pressure; PP, pulse pressure; SNP, single nucleotide polymorphism; ICBP, International Consortium for Blood Pressure; BP-ICE, Blood Pressure-International Consortium for Exomechip; BioVU, Vanderbilt University biorepository; ADE, adverse drug events
Figure 2.
Figure 2.. Manhattan plots summarizing discovery and replication meta-analysis for (a) SBP, (b) DBP, and (c) pulse pressure.
Manhattan plot of the discovery + replication meta-analysis. The y axis shows the –log10 P-values and the x axis shows the chromosomal positions. The horizontal red line represents the thresholds of P-value = 5 × 10−8 for genome-wide significance. SNPs in red are in previously identified loci (includes discovery only; Neff-max = 459,670 for SBP, 459,093 for DBP, and 459,305 for pulse pressure) whereas SNPs in orange are in novel loci (includes discovery + replication; Neff-max = 760,226 for SBP, 767,920 for DBP, and 759,768 for pulse pressure). All P-values are computed for associations between genotyped/imputed SNPs and blood pressure traits as dependent variables in multivariable adjusted logistic regression models. SBP, systolic blood pressure; DBP, diastolic blood pressure
Figure 3.
Figure 3.. Mapping blood pressure-associated genes to murine kidney cell type clusters for (a) SBP, (b) DBP, and (c) pulse pressure.
Average expression level of GWAS/eQTL defined genes in murine kidney cell types. Expression levels were determined in 43,745 kidney cells derived from seven mice. Mean expression values of the genes were calculated in each cluster. Color scheme is based on Z-score distribution obtained from two-sided Wald test. Z-scores are not corrected for multiple comparisons. Each row represents one gene and each column is single cell type cluster (as defined by Park et al.) on the heat map. Endo: endothelial, vascular, descending loop of Henle, Podo: podocyte, PT: proximal tubule, LOH: ascending loop of Henle, DCT: distal convoluted tubule, CD-PC: collecting duct principal cell, CD-IC: CD intercalated cell, Fib: fibroblast, Macro: macrophage, Neutro: neutrophil, NK: natural killer cell.

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