Evidence map›Paper›PMID 30262922›Full record

ArticleEuropean journal of human genetics : EJHG2019

Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31.

Heming Wang, Priyanka Nandakumar, Fasil Tekola-Ayele, Bamidele O Tayo, Erin B Ware, C Charles Gu, Yingchang Lu, Jie Yao, Wei Zhao, Jennifer A Smith and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 12 institutions in 1 country.

Heming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.
Priyanka NandakumarCenter for Complex Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Fasil Tekola-AyeleCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Bamidele O TayoDepartment of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Erin B WareSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA.ORCID http://orcid.org/0000-0003-4731-8158
C Charles GuDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Yingchang LuThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Jie YaoInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-3575-5468
Jacklyn N HellwegeDivision of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.ORCID http://orcid.org/0000-0001-7479-0920
Xiuqing GuoInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
Todd L EdwardsDivision of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID http://orcid.org/0000-0002-8532-5087
Donna K ArnettCollege of Public Health, University of Kentucky, Lexington, 40536, KY, USA.
Myriam FornageHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Charles RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0001-5759-053X
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.
Richard S CooperDepartment of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
D C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Georg EhretCenter for Complex Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-5730-0675
Aravinda ChakravartiCenter for Complex Disease Research, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. aravinda.chakravarti@nyulangone.org.
Xiaofeng ZhuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA. xiaofeng.zhu@case.edu.
University of Michigan · USJohns Hopkins University · USChild Health and Development Institute · USLoyola University Chicago · USNational Institutes of Health · USThe Lundquist Institute · USVanderbilt University Medical Center · USWashington University in St. Louis · USBrigham and Women's Hospital · USCase Western Reserve University · USThe University of Texas Health Science Center at Houston · USUniversity of Kentucky · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
HYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1M
Building Interdisciplinary Research Careers in Women's HealthK12HD043483 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARTMANN, KATHERINE E, MAJOR, AMY S · 2002 to 2023
$10.3M
The Family Blood Pressure Program (HyperGEN Network)U01HL054471 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 2000 to 2007
$7.4M
The Family Blood Pressure Program (GENOA Network)U01HL054481 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 2000 to 2007
$6.7M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
The Family Blood Pressure Program (Program Data Center)U01HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2000 to 2008
$5.8M
Genomic Predictors of Arteriosclerosis in HypertensivesR01HL087660 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2007 to 2009
$5.1M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
Statistical methods for analyzing high-throughput genotype dataR01HG003054 · NHGRI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2005 to 2017
$3.6M
Diverse ancestry biobank to map biomedical traits and elucidate health disparitieU01HG007417 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2013 to 2017
$3.5M
NCI NIH HHS T32 CA160056NHGRI NIH HHS HG003054NHGRI NIH HHS R01 HG003054NHGRI NIH HHS U01 HG007417NHLBI NIH HHS HL086694NHLBI NIH HHS R01 HL055673NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL119443NHLBI NIH HHS R21 HL121429NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U01 HL054464NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054472NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054481NHLBI NIH HHS U01 HL054495NHLBI NIH HHS U01 HL054496NHLBI NIH HHS U01 HL054497NHLBI NIH HHS U01 HL054509NHLBI NIH HHS U10 HL054457NHLBI NIH HHS U10 HL054464NHLBI NIH HHS U10 HL054471NHLBI NIH HHS U10 HL054472NHLBI NIH HHS U10 HL054473NHLBI NIH HHS U10 HL054481NHLBI NIH HHS U10 HL054495NHLBI NIH HHS U10 HL054496NHLBI NIH HHS U10 HL054497NHLBI NIH HHS U10 HL054509NIA NIH HHS R01 AG055406NICHD NIH HHS K12 HD043483NIDDK NIH HHS R01 DK107786NIDDK NIH HHS R01 DK110113
6 · The paper itself

Abstract

High blood pressure (BP) is a major risk factor for cardiovascular disease (CVD) and is more prevalent in African Americans as compared to other US groups. Although large, population-based genome-wide association studies (GWAS) have identified over 300 common polymorphisms modulating inter-individual BP variation, largely in European ancestry subjects, most of them do not localize to regions previously identified through family-based linkage studies. This discrepancy has remained unexplained despite the statistical power differences between current GWAS and prior linkage studies. To address this issue, we performed genome-wide linkage analysis of BP traits in African-American families from the Family Blood Pressure Program (FBPP) and genotyped on the Illumina Human Exome BeadChip v1.1. We identified a genomic region on chromosome 1q31 with LOD score 3.8 for pulse pressure (PP), a region we previously implicated in DBP studies of European ancestry families. Although no reported GWAS variants map to this region, combined linkage and association analysis of PP identified 81 rare and low frequency exonic variants accounting for the linkage evidence. Replication analysis in eight independent African ancestry cohorts (N = 16,968) supports this specific association with PP (P = 0.0509). Additional association and network analyses identified multiple potential candidate genes in this region expressed in multiple tissues and with a strong biological support for a role in BP. In conclusion, multiple genes and rare variants on 1q31 contribute to PP variation. Beyond producing new insights into PP, we demonstrate how family-based linkage and association studies can implicate specific rare and low frequency variants for complex traits.

Indexed as

Polymorphism, Single NucleotideBlack or African AmericanChromosomes, Human, Pair 1Gene FrequencyGenome-Wide Association StudyHumansHypertensionLinkage Disequilibrium

Identifiers

PMID30262922
PMCPMC6336803
OpenAlexW2894134790

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.