Evidence map›Paper›PMID 35330374›Full record

ArticleJournal of personalized medicine2022

Untangling SNP Variations within

Anita Stojanović Marković, Matea Zajc Petranović, Željka Tomas, Borna Puljko, Maja Šetinc, Tatjana Škarić-Jurić, Marijana Peričić Salihović

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Relevance ofPharmaceutics · 2022
    Article
  4. From Croatian Roma to 1000 Genomes: The Story of theJournal of personalized medicine · 2022
    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

7 authors at 3 institutions in 1 country.

Anita Stojanović MarkovićInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Matea Zajc PetranovićInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Željka TomasDepartment for Translational Medicine, Srebrnjak Children's Hospital, 10000 Zagreb, Croatia.
Borna PuljkoCroatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.
Maja ŠetincInstitute for Anthropological Research, 10000 Zagreb, Croatia.ORCID 0000-0002-8641-5391
Tatjana Škarić-JurićInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Marijana Peričić SalihovićInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Institute for Anthropological Research · HRChildren's Hospital Srebrnjak · HRUniversity of Zagreb · HR

Funding

Croatian Science Foundation HRZZ-ESF-DOK-01-2018Croatian Science Foundation HRZZ-IP-2014-09-4454
6 · The paper itself

Abstract

CYP2D6 is a highly polymorphic gene whose variations affect its enzyme activity. To assess whether the specific population history of Roma, characterized by constant migrations and endogamy, influenced the distribution of alleles and thus phenotypes, the CYP2D6 gene was sequenced using NGS (Next Generation Sequencing) method-targeted sequencing in three groups of Croatian Roma (N = 323) and results were compared to European and Asian populations. Identified single nucleotide polymorphisms (SNPs) were used to reconstruct haplotypes, which were translated into the star-allele nomenclature and later into phenotypes. A total of 43 polymorphic SNPs were identified. The three Roma groups differed significantly in the frequency of alleles of polymorphisms 6769 A > G, 6089 G > A, and 5264 A > G (p < 0.01), as well as in the prevalence of the five most represented star alleles: *1, *2, *4, *10, and *41 (p < 0.0001). Croatian Roma differ from the European and Asian populations in the accumulation of globally rare SNPs (6089 G > A, 4589 C > T, 4622 G > C, 7490 T > C). Our results also show that demographic history influences SNP variations in the Roma population. The three socio-culturally different Roma groups studied differ significantly in the distribution of star alleles, which confirms the importance of a separate study of different Roma groups.

Indexed as

ADMECroatiaCYP2D6pharmacogeneticspopulation geneticsRomastar allele

Identifiers

PMID35330374
PMCPMC8951754
OpenAlexW4214551628

What Socratic 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 Socratic graph.