Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2022 Aug;79(8):1656-1667.
doi: 10.1161/HYPERTENSIONAHA.122.19324. Epub 2022 Jun 2.

Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Tanika N Kelly #  1   2 Xiao Sun #  1 Karen Y He #  3 Michael R Brown #  4 Sarah A Gagliano Taliun #  5 Jacklyn N Hellwege #  6   7 Marguerite R Irvin #  8 Xuenan Mi #  1 Jennifer A Brody #  9 Nora Franceschini  10 Xiuqing Guo  11 Shih-Jen Hwang  12 Paul S de Vries  4 Yan Gao  13 Arden Moscati  14 Girish N Nadkarni  14   15 Lisa R Yanek  16 Tali Elfassy  17 Jennifer A Smith  18 Ren-Hua Chung  19 Amber L Beitelshees  20 Amit Patki  21 Stella Aslibekyan  8 Brandon M Blobner  22   23 Juan M Peralta  24 Themistocles L Assimes  25   26 Walter R Palmas  27 Chunyu Liu  28 Adam P Bress  29 Zhijie Huang  1 Lewis C Becker  30 Chii-Min Hwa  31 Jeffrey R O'Connell  20 Jenna C Carlson  32 Helen R Warren  33   34 Sayantan Das  5 Ayush Giri  7   35 Lisa W Martin  36 W Craig Johnson  37 Ervin R Fox  38 Erwin P Bottinger  39 Alexander C Razavi  1 Dhananjay Vaidya  16 Lee-Ming Chuang  40 Yen-Pei C Chang  20 Take Naseri  41 Deepti Jain  37 Hyun Min Kang  5 Adriana M Hung  42   7 Vinodh Srinivasasainagendra  21 Beverly M Snively  43 Dongfeng Gu  44 May E Montasser  20 Muagututi'a Sefuiva Reupena  45 Benjamin D Heavner  37 Jonathon LeFaive  5 James E Hixson  4 Kenneth M Rice  37 Fei Fei Wang  37 Jonas B Nielsen  46   47 Jianfeng Huang  2   44 Alyna T Khan  37 Wei Zhou  48 Jovia L Nierenberg  1 Cathy C Laurie  37 Nicole D Armstrong  8 Mengyao Shi  1 Yang Pan  1 Adrienne M Stilp  37 Leslie Emery  37 Quenna Wong  37 Nicola L Hawley  49 Ryan L Minster  23 Joanne E Curran  24 Patricia B Munroe  33   34 Daniel E Weeks  23   50 Kari E North  9 Russell P Tracy  51 Eimear E Kenny  13   52 Daichi Shimbo  53 Aravinda Chakravarti  54 Stephen S Rich  55 Alex P Reiner  56 John Blangero  24 Susan Redline  57 Braxton D Mitchell  20   58 Dabeeru C Rao  59 Yii-Der Ida Chen  11 Sharon L R Kardia  18 Robert C Kaplan  60 Rasika A Mathias  61 Jiang He  1 Bruce M Psaty  1   62 Myriam Fornage  63   64 Ruth J F Loos  11   65 Adolfo Correa  66 Eric Boerwinkle  4   67 Jerome I Rotter  11 Charles Kooperberg  56 Todd L Edwards #  68   7 Gonçalo R Abecasis #  5 Xiaofeng Zhu #  3 Daniel Levy #  11 Donna K Arnett #  69 Alanna C Morrison #  4 Samoan Obesity, Lifestyle, and Genetic Adaptations Study (OLaGA) Group,‡ NHLBI Trans-Omics for Precision Medicine TOPMed) Consortium
Affiliations
Meta-Analysis

Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Tanika N Kelly et al. Hypertension. 2022 Aug.

Abstract

Background: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

Methods: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

Results: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (P<5×10-8). Among them, a rare intergenic variant at novel locus, LOC100506274, was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; P=4.99×10-8) but not stage-2 analysis (P=0.11). Furthermore, a novel common variant at the known INSR locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; P=4.18×10-7) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; P=7.28×10-23). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (P<1×10-6 and P<1×10-4, respectively).

Discussion: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

Keywords: allele; blood pressure; genome; hypertension; whole genome sequencing.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Design of the multi-stage genomic study of blood pressure phenotypes.
Figure 2.
Figure 2.
Venn diagrams displaying suggestive BP signals across multi-ancestry and ancestry-specific analyses for: (A.) 113 novel BP loci; (B.) 122 potentially novel variants at previously reported BP loci; (C.) 69 genes; (D.) 262 sliding windows; and (E.) 279 signal driving variants from leave-one-out analyses. (F.) This diagram displays the overlap of suggestive BP signals across 235 SNVs identified by single variant analyses, including 113 from novel loci and 122 from previously reported loci, and 279 signal driving variants from leave-one-out analyses of suggestive genes and sliding windows.
Figure 3.
Figure 3.
Regional association plots displaying signals at: (A.) LOC100506274; and (B.) INSR.
Figure 4.
Figure 4.
Lachesis plots integrating aggregate and single variant signals at: (A.) LEXM; (B.) ERBB4; (C.) LINC01520; and (D.) DAND5.

References

    1. Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, Chen J, He J. Global Disparities of Hypertension Prevalence and Control. Circulation. 2016;134:441–450. - PMC - PubMed
    1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2013;380:2224–2260. - PMC - PubMed
    1. Cutler JA, Follmann D, Allender PS. Randomized trials of sodium reduction: an overview. Am J Clin Nutr. 1997;65:643S–651S. - PubMed
    1. Neter JE, Stam BE, Kok FJ, Grobbee DE, Geleijnse JM. Influence of Weight Reduction on Blood Pressure: A Meta-Analysis of Randomized Controlled Trials. Hypertension. 2003;42:878–884. - PubMed
    1. Xin X, He J, Frontini MG, Ogden LG, Motsamai OI, Whelton PK. Effects of Alcohol Reduction on Blood Pressure. Hypertension. 2001;38:1112–1117. - PubMed

Publication types

Grants and funding