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


Journal

The pharmacogenomics journal
ISSN: 1473-1150
Titre abrégé: Pharmacogenomics J
Pays: United States
ID NLM: 101083949

Informations de publication

Date de publication:
04 2021
Historique:
received: 01 12 2019
accepted: 05 10 2020
revised: 21 08 2020
pubmed: 11 11 2020
medline: 13 1 2022
entrez: 10 11 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33168928
doi: 10.1038/s41397-020-00194-5
pii: 10.1038/s41397-020-00194-5
pmc: PMC7997806
doi:

Substances chimiques

Adrenergic Agents 0
Phenylephrine 1WS297W6MV

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

174-189

Subventions

Organisme : NHGRI NIH HHS
ID : UM1HG0089001
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG009610
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01HG109391
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01HG009080
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL104608
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG009080
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01HG009610
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG008701
Pays : United States

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Auteurs

Stephane Wenric (S)

Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Janina M Jeff (JM)

Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Thomas Joseph (T)

Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Muh-Ching Yee (MC)

Stanford Functional Genomics Facility, Stanford, CA, USA.
Invitae Corporation, San Francisco, CA, USA.

Gillian M Belbin (GM)

Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Aniwaa Owusu Obeng (A)

Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pharmacy Department, The Mount Sinai Hospital, New York, NY, USA.
Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Stephen B Ellis (SB)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Erwin P Bottinger (EP)

Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Omri Gottesman (O)

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Matthew A Levin (MA)

Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Eimear E Kenny (EE)

Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. eimear.kenny@mssm.edu.
Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. eimear.kenny@mssm.edu.
Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. eimear.kenny@mssm.edu.

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