Evidence map›Paper›PMID 27841878›Full record

ArticleNature genetics2017

Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.

Thomas J Hoffmann, Georg B Ehret, Priyanka Nandakumar, Dilrini Ranatunga, Catherine Schaefer, Pui-Yan Kwok, Carlos Iribarren, Aravinda Chakravarti, Neil Risch

Abstract read
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
212citing papers in PubMed, 19 pooled it
31.8field-weighted citation impact, top 1% 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

212 citing papers in PubMed, 19 syntheses or guidelines pooled it, 346 citations in OpenAlex.

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152 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

9 authors at 3 institutions in 2 countries.

Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA.
Georg B EhretCenter for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5730-0675
Priyanka NandakumarCenter for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Baltimore, Maryland, USA.
Dilrini RanatungaKaiser Permanente Northern California Division of Research, Oakland, California, USA.
Catherine SchaeferKaiser Permanente Northern California Division of Research, Oakland, California, USA.
Pui-Yan KwokInstitute for Human Genetics, University of California at San Francisco, San Francisco, California, USA.
Carlos IribarrenKaiser Permanente Northern California Division of Research, Oakland, California, USA.
Aravinda ChakravartiCenter for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Baltimore, Maryland, USA.
Neil RischDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA.
Kaiser Permanente · USUniversity of California, San Francisco · USUniversity of Geneva · CH

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
Genomics of blood pressure-induced target organ damageR01HL128782 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHAKRAVARTI, ARAVINDA · 2015 to 2018
$7.8M
Medical Research Council MC_PC_15018Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL128782NIA NIH HHS RC2 AG036607NIGMS NIH HHS T32 GM007814
6 · The paper itself

Abstract

Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. We identified 39 new loci among 75 genome-wide significant loci (P ≤ 5 × 10

Indexed as

Electronic Health RecordsGenome-Wide Association StudyAdultBlood PressureCohort StudiesEthnicityFemaleGenetic LociGenetic Predisposition to DiseaseHumansHypertensionLongitudinal StudiesMaleMeta-Analysis as TopicMiddle AgedPhenotype

Identifiers

PMID27841878
PMCPMC5370207
OpenAlexW2556167715

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.