Evidence map›Paper›PMID 37205362›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Genetically influenced tobacco and alcohol use behaviors impact erythroid trait variation.

Shriya Shivakumar, Madison B Wilken, Victor Tsao, Bárbara D Bitarello, Christopher S Thom

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shriya ShivakumarDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Madison B WilkenDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Victor TsaoDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Bárbara D BitarelloBryn Mawr College, Bryn Mawr, PA.
Christopher S ThomDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Children's Hospital of Philadelphia · USBryn Mawr College · US

Funding

Determining genetic mechanisms that drive in vitro hematopoiesisK99HL156052 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI THOM, CHRISTOPHER STEPHEN · 2021 to 2024
$670k
NHLBI NIH HHS K99 HL156052
6 · The paper itself

Abstract

Genome wide association studies (GWAS) have associated thousands of loci with quantitative human blood trait variation. Blood trait associated loci and related genes may regulate blood cell-intrinsic biological processes, or alternatively impact blood cell development and function via systemic factors and disease processes. Clinical observations linking behaviors like tobacco or alcohol use with altered blood traits can be subject to bias, and these trait relationships have not been systematically explored at the genetic level. Using a Mendelian randomization (MR) framework, we confirmed causal effects of smoking and drinking that were largely confined to the erythroid lineage. Using multivariable MR and causal mediation analyses, we confirmed that an increased genetic predisposition to smoke tobacco was associated with increased alcohol intake, indirectly decreasing red blood cell count and related erythroid traits. These findings demonstrate a novel role for genetically influenced behaviors in determining human blood traits, revealing opportunities to dissect related pathways and mechanisms that influence hematopoiesis.

Indexed as

BloodErythroidGeneticsMendelian randomization

Identifiers

PMID37205362
PMCPMC10187333
OpenAlexW4367845894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.