Evidence map›Paper›PMID 33168928›Full record

ArticleThe pharmacogenomics journal2021

Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry.

Stephane Wenric, Janina M Jeff, Thomas Joseph, Muh-Ching Yee, Gillian M Belbin, Aniwaa Owusu Obeng, Stephen B Ellis, Erwin P Bottinger, Omri Gottesman, Matthew A Levin and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

11 authors at 6 institutions in 2 countries.

Stephane Wenric *Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-5625-2133
Janina M Jeff *Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Thomas JosephDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Muh-Ching YeeStanford Functional Genomics Facility, Stanford, CA, USA.
Gillian M BelbinInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Aniwaa Owusu ObengDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stephen B EllisThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Erwin P BottingerDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Omri GottesmanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Matthew A LevinDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-6013-2684
Eimear E KennyInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. eimear.kenny@mssm.edu.ORCID http://orcid.org/0000-0001-9198-759X
Genomic Health (United States) · USIcahn School of Medicine at Mount Sinai · USHasso Plattner Institute · DEMount Sinai Hospital · USStanford Medicine · USUniversity of Pennsylvania · US

Funding

New Approaches for Empowering Studies of Asthma in Populations of African DescentR01HL104608 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BARNES, KATHLEEN C, KENNY, EIMEAR ELIZABETH · 2011 to 2022
$23.1M
Incorporating genomics into the clinical care of diverse NYC childrenU01HG009610 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GELB, BRUCE D, HOROWITZ, CAROL R · 2017 to 2021
$17.0M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
NHGRI NIH HHS U01 HG008701NHGRI NIH HHS U01 HG009080NHGRI NIH HHS U01HG009080NHGRI NIH HHS U01 HG009610NHGRI NIH HHS U01HG009610NHGRI NIH HHS U01HG109391NHGRI NIH HHS UM1HG0089001NHLBI NIH HHS R01 HL104608
6 · The paper itself

Abstract

The emergence of genomic data in biobanks and health systems offers new ways to derive medically important phenotypes, including acute phenotypes occurring during inpatient clinical care. Here we study the genetic underpinnings of the rapid response to phenylephrine, an α1-adrenergic receptor agonist commonly used to treat hypotension during anesthesia and surgery. We quantified this response by extracting blood pressure (BP) measurements 5 min before and after the administration of phenylephrine. Based on this derived phenotype, we show that systematic differences exist between self-reported ancestry groups: European-Americans (EA; n = 1387) have a significantly higher systolic response to phenylephrine than African-Americans (AA; n = 1217) and Hispanic/Latinos (HA; n = 1713) (31.3% increase, p value < 6e-08 and 22.9% increase, p value < 5e-05 respectively), after adjusting for genetic ancestry, demographics, and relevant clinical covariates. We performed a genome-wide association study to investigate genetic factors underlying individual differences in this derived phenotype. We discovered genome-wide significant association signals in loci and genes previously associated with BP measured in ambulatory settings, and a general enrichment of association in these genes. Finally, we discovered two low frequency variants, present at ~1% in EAs and AAs, respectively, where patients carrying one copy of these variants show no phenylephrine response. This work demonstrates our ability to derive a quantitative phenotype suited for comparative statistics and genome-wide association studies from dense clinical and physiological measures captured for managing patients during surgery. We identify genetic variants underlying non response to phenylephrine, with implications for preemptive pharmacogenomic screening to improve safety during surgery.

Indexed as

Adrenergic AgentsBlack or African AmericanBlood PressureFemaleGenome-Wide Association StudyGenomicsHumansMaleMiddle AgedPerioperative PeriodPhenotypePhenylephrinePolymorphism, Single NucleotideWhite PeopleAdrenergic AgentsPhenylephrine

Identifiers

PMID33168928
PMCPMC7997806
OpenAlexW3098006741

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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.