Evidence map›Paper›PMID 34405265›Full record

ArticleInternational journal of legal medicine2021

Impact of excessive alcohol abuse on age prediction using the VISAGE enhanced tool for epigenetic age estimation in blood.

Danuta Piniewska-Róg, Antonia Heidegger, Ewelina Pośpiech, Catarina Xavier, Aleksandra Pisarek, Agata Jarosz, Anna Woźniak, Marta Wojtas, Christopher Phillips, Manfred Kayser and 3 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

13 authors at 6 institutions in 5 countries.

Danuta Piniewska-Róg *Jagiellonian University Medical College, Faculty of Medicine, Department of Forensic Medicine, Grzegórzecka 16, 31-531, Krakow, Poland.
Antonia Heidegger *Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria.
Ewelina PośpiechMalopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland.
Catarina XavierInstitute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria.
Aleksandra PisarekMalopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland.
Agata JaroszMalopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland.
Anna WoźniakCentral Forensic Laboratory of the Police, Aleje Ujazdowskie 7, 00-583, Warsaw, Poland.
Marta WojtasJagiellonian University Medical College, Faculty of Medicine, Department of Forensic Medicine, Grzegórzecka 16, 31-531, Krakow, Poland.
Christopher PhillipsForensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, R/ San Francisco s/n, 15782, Santiago de Compostela, Spain.
Manfred KayserDepartment of Genetic Identification, Erasmus MC University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
Walther ParsonInstitute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria.
Wojciech BranickiMalopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland. wojciech.branicki@uj.edu.pl.ORCID http://orcid.org/0000-0002-7412-5733
VISAGE Consortium
Jagiellonian University · PLInnsbruck Medical University · ATCentralne Laboratorium Kryminalistyczne Policji · PLErasmus MC · NLPennsylvania State University · USUniversidade de Santiago de Compostela · ES

Funding

European Union's Horizon 2020 Research and Innovation Programme 740580
6 · The paper itself

Abstract

DNA methylation-based clocks provide the most accurate age estimates with practical implications for clinical and forensic genetics. However, the effects of external factors that may influence the estimates are poorly studied. Here, we evaluated the effect of alcohol consumption on epigenetic age prediction in a cohort of extreme alcohol abusers. Blood samples from deceased alcohol abusers and age- and sex-matched controls were analyzed using the VISAGE enhanced tool for age prediction from somatic tissues that enables examination of 44 CpGs within eight age markers. Significantly altered DNA methylation was recorded for alcohol abusers in MIR29B2CHG. This resulted in a mean predicted age of 1.4 years higher compared to the controls and this trend increased in older individuals. The association of alcohol abuse with epigenetic age acceleration, as determined by the prediction analysis performed based on MIR29B2CHG, was small but significant (β = 0.190; P-value = 0.007). However, the observed alteration in DNA methylation of MIR29B2CHG had a non-significant effect on age estimation with the VISAGE age prediction model. The mean absolute error in the alcohol-abusing cohort was 3.1 years, compared to 3.3 years in the control group. At the same time, upregulation of MIR29B2CHG expression may have a biological function, which merits further studies.

Indexed as

AlcoholismAgedAgingCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomicsHumansInfantAlcohol abuseDNA methylationEpigenetic age predictionVISAGE enhanced tool for age estimation of DNA from somatic tissues

Identifiers

PMID34405265
PMCPMC8523459
OpenAlexW3193714985

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.