BMC Genomics (Feb 2022)
Rare coding variants in RCN3 are associated with blood pressure
- Karen Y. He,
- Tanika N. Kelly,
- Heming Wang,
- Jingjing Liang,
- Luke Zhu,
- Brian E. Cade,
- Themistocles L. Assimes,
- Lewis C. Becker,
- Amber L. Beitelshees,
- Lawrence F. Bielak,
- Adam P. Bress,
- Jennifer A. Brody,
- Yen-Pei Christy Chang,
- Yi-Cheng Chang,
- Paul S. de Vries,
- Ravindranath Duggirala,
- Ervin R. Fox,
- Nora Franceschini,
- Anna L. Furniss,
- Yan Gao,
- Xiuqing Guo,
- Jeffrey Haessler,
- Yi-Jen Hung,
- Shih-Jen Hwang,
- Marguerite Ryan Irvin,
- Rita R. Kalyani,
- Ching-Ti Liu,
- Chunyu Liu,
- Lisa Warsinger Martin,
- May E. Montasser,
- Paul M. Muntner,
- Stanford Mwasongwe,
- Take Naseri,
- Walter Palmas,
- Muagututi’a Sefuiva Reupena,
- Kenneth M. Rice,
- Wayne H.-H. Sheu,
- Daichi Shimbo,
- Jennifer A. Smith,
- Beverly M. Snively,
- Lisa R. Yanek,
- Wei Zhao,
- John Blangero,
- Eric Boerwinkle,
- Yii-Der Ida Chen,
- Adolfo Correa,
- L. Adrienne Cupples,
- Joanne E. Curran,
- Myriam Fornage,
- Jiang He,
- Lifang Hou,
- Robert C. Kaplan,
- Sharon L. R. Kardia,
- Eimear E. Kenny,
- Charles Kooperberg,
- Donald Lloyd-Jones,
- Ruth J. F. Loos,
- Rasika A. Mathias,
- Stephen T. McGarvey,
- Braxton D. Mitchell,
- Kari E. North,
- Patricia A. Peyser,
- Bruce M. Psaty,
- Laura M. Raffield,
- D. C. Rao,
- Susan Redline,
- Alex P. Reiner,
- Stephen S. Rich,
- Jerome I. Rotter,
- Kent D. Taylor,
- Russell Tracy,
- Ramachandran S. Vasan,
- The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium,
- Alanna C. Morrison,
- Daniel Levy,
- Aravinda Chakravarti,
- Donna K. Arnett,
- Xiaofeng Zhu
Affiliations
- Karen Y. He
- Department of Population and Quantitative Health Sciences, Case Western Reserve University
- Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine
- Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital
- Jingjing Liang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University
- Luke Zhu
- Center for Human Genetics & Genomics, New York University Grossman School of Medicine
- Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital
- Themistocles L. Assimes
- Department of Medicine (Division of Cardiovascular Medicine), Stanford University
- Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Divisions of Cardiology and General Internal Medicine, Johns Hopkins University School of Medicine
- Amber L. Beitelshees
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine
- Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan
- Adam P. Bress
- Department of Population Health Sciences, University of Utah School of Medicine
- Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington
- Yen-Pei Christy Chang
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine
- Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University
- Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
- Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine
- Ervin R. Fox
- Division of Cardiovascular Diseases, Department of Medicine, University of Mississippi Medical Center
- Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health
- Anna L. Furniss
- Jackson Heart Study, University of Mississippi Medical Center
- Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center
- Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center
- Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center
- Shih-Jen Hwang
- Department of Biostatistics, School of Public Health, Boston University
- Marguerite Ryan Irvin
- Department of Epidemiology, University of Alabama at Birmingham
- Rita R. Kalyani
- GeneSTAR Research Program, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine
- Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University
- Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University
- Lisa Warsinger Martin
- Division of Cardiology, Department of Medicine, George Washington University
- May E. Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine
- Paul M. Muntner
- Department of Epidemiology, University of Alabama at Birmingham
- Stanford Mwasongwe
- Jackson Heart Study, Jackson State University
- Take Naseri
- Ministry of Health, Government of Samoa
- Walter Palmas
- Division of Cardiology, Columbia University Irving Medical Center
- Muagututi’a Sefuiva Reupena
- Lutia I Puava Ae Mapu I Fagalele
- Kenneth M. Rice
- Department of Biostatistics, School of Public Health, University of Washington
- Wayne H.-H. Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital
- Daichi Shimbo
- Division of Cardiology, Columbia University Irving Medical Center
- Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan
- Beverly M. Snively
- Department of Biostatistics and Data Science, Wake Forest School of Medicine
- Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine
- Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan
- John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine
- Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
- Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Adolfo Correa
- Jackson Heart Study, University of Mississippi Medical Center
- L. Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University
- Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine
- Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
- Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine
- Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago
- Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan
- Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai
- Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center
- Donald Lloyd-Jones
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
- Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Divisions of Allergy and Clinical Immunology and General Internal Medicine, Johns Hopkins University School of Medicine
- Stephen T. McGarvey
- International Health Institute and Department of Epidemiology, School of Public Health, Brown University
- Braxton D. Mitchell
- Division of Endocrinology, Diabetes, and Nutrition, Program for Personalized and Genomic Medicine, Department of Medicine, University of Maryland School of Medicine
- Kari E. North
- Department of Epidemiology, UNC Gillings School of Global Public Health
- Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan
- Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington
- Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill
- D. C. Rao
- Division of Biostatistics, Washington University School of Medicine
- Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital
- Alex P. Reiner
- Department of Epidemiology, University of Washington
- Stephen S. Rich
- Center for Public Health Genomics, University of Virginia
- Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Russell Tracy
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont
- Ramachandran S. Vasan
- Framingham Heart Study, National Heart, Lung, and Blood Institute’s Framingham Heart Study
- The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
- Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute’s Framingham Heart Study
- Aravinda Chakravarti
- Center for Human Genetics & Genomics, New York University Grossman School of Medicine
- Donna K. Arnett
- University of Kentucky College of Public Health
- Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University
- DOI
- https://doi.org/10.1186/s12864-022-08356-4
- Journal volume & issue
-
Vol. 23,
no. 1
pp. 1 – 18
Abstract
Abstract Background While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of European, African, East Asian, Hispanic, and Samoan ancestries. Results Associations of low frequency and rare variants in RCN3 and multiple other genes were observed for blood pressure traits in TOPMed samples. The association of low frequency and rare coding variants in RCN3 was further replicated in UK Biobank samples (N = 403,522), and reached genome-wide significance for diastolic blood pressure (p = 2.01 × 10− 7). Conclusions Low frequency and rare variants in RCN3 contributes blood pressure variation. This study demonstrates that focusing association analyses in linkage regions greatly reduces multiple-testing burden and improves power to identify novel rare variants associated with blood pressure traits.
Keywords