Faculty, Staff and Student Publications

Authors

Tanika N Kelly
Xiao Sun
Karen Y He
Michael R Brown
Sarah A Gagliano Taliun
Jacklyn N Hellwege
Marguerite R Irvin
Xuenan Mi
Jennifer A Brody
Nora Franceschini
Xiuqing Guo
Shih-Jen Hwang
Paul S de Vries
Yan Gao
Arden Moscati
Girish N Nadkarni
Lisa R Yanek
Tali Elfassy
Jennifer A Smith
Ren-Hua Chung
Amber L Beitelshees
Amit Patki
Stella Aslibekyan
Brandon M Blobner
Juan M Peralta
Themistocles L Assimes
Walter R Palmas
Chunyu Liu
Adam P Bress
Zhijie Huang
Lewis C Becker
Chii-Min Hwa
Jeffrey R O'Connell
Jenna C Carlson
Helen R Warren
Sayantan Das
Ayush Giri
Lisa W Martin
W Craig Johnson
Ervin R Fox
Erwin P Bottinger
Alexander C Razavi
Dhananjay Vaidya
Lee-Ming Chuang
Yen-Pei C Chang
Take Naseri
Deepti Jain
Hyun Min Kang
Adriana M Hung
Vinodh Srinivasasainagendra
Beverly M Snively
Dongfeng Gu
May E Montasser
Muagututi'a Sefuiva Reupena
Benjamin D Heavner
Jonathon LeFaive
James E Hixson
Kenneth M Rice
Fei Fei Wang
Jonas B Nielsen
Jianfeng Huang
Alyna T Khan
Wei Zhou
Jovia L Nierenberg
Cathy C Laurie
Nicole D Armstrong
Mengyao Shi
Yang Pan
Adrienne M Stilp
Leslie Emery
Quenna Wong
Nicola L Hawley
Ryan L Minster
Joanne E Curran
Patricia B Munroe
Daniel E Weeks
Kari E North
Russell P Tracy
Eimear E Kenny
Daichi Shimbo
Aravinda Chakravarti
Stephen S Rich
Alex P Reiner
John Blangero
Susan Redline
Braxton D Mitchell
Dabeeru C Rao
Yii-Der Ida Chen
Sharon L R Kardia
Robert C Kaplan
Rasika A Mathias
Jiang He
Bruce M Psaty
Myriam Fornage
Ruth J F Loos
Adolfo Correa
Eric Boerwinkle
Jerome I Rotter
Charles Kooperberg
Todd L Edwards
Gonçalo R Abecasis
Xiaofeng Zhu
Daniel Levy
Donna K Arnett
Alanna C Morrison
Samoan Obesity, Lifestyle, and Genetic Adaptations Study (OLaGA) Group,‡ NHLBI Trans-Omics for Precision Medicine TOPMed) Consortium

Publication Date

8-1-2022

Journal

Hypertension

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 (

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

Blood Pressure, Genome-Wide Association Study, Genomics, Humans, Hypertension, Polymorphism, Single Nucleotide, Precision Medicine, Whole genome sequencing, blood pressure, hypertension

DOI

10.1161/HYPERTENSIONAHA.122.19324

PMID

35652341

PMCID

PMC9593435

PubMedCentral® Posted Date

8-1-2023

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes

nihms-1808860-f0005.jpg (198 kB)
Graphical Abstract

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.