Evidence map›Paper›PMID 35102242›Full record

ArticleThe pharmacogenomics journal2022

Identification of sex-specific genetic associations in response to opioid analgesics in a White, non-Hispanic cohort from Southeast Minnesota.

Guilherme S Lopes, Jaime L Lopes, Suzette J Bielinski, Sebastian M Armasu, Ye Zhu, Dana C Cavanaugh, Ann M Moyer, Debra J Jacobson, Liwei Wang, Ruoxiang Jiang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
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

12 authors at 3 institutions in 1 country.

Guilherme S LopesPremier, Inc, Charlotte, NC, USA. gui_lopes@premierinc.com.ORCID http://orcid.org/0000-0003-2923-2721
Jaime L LopesCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Suzette J BielinskiMayo Clinic, Rochester, MN, USA.
Sebastian M ArmasuMayo Clinic, Rochester, MN, USA.
Ye ZhuMayo Clinic, Rochester, MN, USA.
Dana C CavanaughNYU Langone Health Hospital, New York City, NY, USA.
Ann M MoyerMayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-2590-7218
Debra J JacobsonMayo Clinic, Rochester, MN, USA.
Liwei WangMayo Clinic, Rochester, MN, USA.
Ruoxiang JiangMayo Clinic, Rochester, MN, USA.
Jennifer L St SauverMayo Clinic, Rochester, MN, USA.
Nicholas B LarsonMayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USCincinnati Children's Hospital Medical Center · USPremier Research Group · US

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's DiseaseU54AG044170 · NIA · MAYO CLINIC ROCHESTER · PI KAPOOR, EKTA · 2018 to 2022
$7.7M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Pharmacogenomics of Breast Cancer Adjuvant ChemotherapyU01HG005137 · NHGRI · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2009 to 2011
$2.1M
Pharmacogenomic regulation of CYP transcription by TSPYL genesR01GM125633 · NIGMS · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2018 to 2021
$1.2M
NHGRI NIH HHS U01 HG005137NHGRI NIH HHS U01 HG006379NIA NIH HHS R01 AG034676NIA NIH HHS R33 AG058738NIA NIH HHS U54 AG044170NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R01 GM125633NIGMS NIH HHS U19 GM061388
6 · The paper itself

Abstract

The study of sex-specific genetic associations with opioid response may improve the understanding of inter-individual variability in pain treatments. We investigated sex-specific associations between genetic variation and opioid response. We identified participants in the RIGHT Study prescribed codeine, tramadol, hydrocodone, and oxycodone between 01/01/2005 and 12/31/2017. Prescriptions were collapsed into codeine/tramadol and hydrocodone/oxycodone. Outcomes included poor pain control and adverse reactions within six weeks after prescription date. We performed gene-level and single-variant association analyses stratified by sex. We included 7169 non-Hispanic white participants and a total of 1940 common and low-frequency variants (MAF > 0.01). Common variants in MACROD2 (rs76026520), CYP1B1 (rs1056837, rs1056836), and CYP2D6 (rs35742686) were associated with outcomes. At the gene level, FAAH, SCN1A, and TYMS had associations for men and women, and NAT2, CYP3A4, CYP1A2, and SLC22A2 had associations for men only. Our findings highlight the importance of considering sex in association studies on opioid response.

Indexed as

Analgesics, OpioidArylamine N-AcetyltransferaseCodeineFemaleHumansHydrocodoneMaleMinnesotaOxycodoneAnalgesics, OpioidArylamine N-AcetyltransferaseCodeineHydrocodoneNAT2 protein, humanOxycodone

Identifiers

PMID35102242
PMCPMC8975736
OpenAlexW4210775674

What OpenQuestion holds

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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.