Evidence map›Paper›PMID 34099811›Full record

ArticleScientific reports2021

Contribution of genetic ancestry and polygenic risk score in meeting vitamin B12 needs in healthy Brazilian children and adolescents.

Carlos Alessandro Fuzo, Fábio da Veiga Ued, Sofia Moco, Ornella Cominetti, Sylviane Métairon, Solenn Pruvost, Aline Charpagne, Jerome Carayol, Raul Torrieri, Wilson Araujo Silva and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

13 authors at 5 institutions in 3 countries.

Carlos Alessandro FuzoDepartment of Clinical Analyses, Toxicology and Food Sciences, School of Pharmaceutics Sciences, University of São Paulo, Ribeirão Preto, Brazil.
Fábio da Veiga UedDepartment of Pediatrics and Department of Health Sciences, Ribeirão Preto Medical School, Nutrition and Metabolism Section, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Ribeirão Preto, SP, 14040-900, Brazil.
Sofia MocoDepartment of Chemistry and Pharmaceutical Sciences, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteite Amsterdam, Amsterdam, The Netherlands.
Ornella CominettiNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Sylviane MétaironNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Solenn PruvostNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Aline CharpagneNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Jerome CarayolNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Raul TorrieriCenter for Medical Genomics, Ribeirão Preto Medical School Hospital, University of São Paulo, Ribeirão Preto, Brazil.
Wilson Araujo SilvaDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Patrick DescombesNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Jim KaputNestlé Research, Société Des Produits Nestlé SA, EPFL Innovation Park, H, 1015, Lausanne, Switzerland.
Jacqueline Pontes MonteiroDepartment of Pediatrics and Department of Health Sciences, Ribeirão Preto Medical School, Nutrition and Metabolism Section, University of São Paulo, Avenida Bandeirantes, 3900, Bairro Monte Alegre, Ribeirão Preto, SP, 14040-900, Brazil. jacque160165@gmail.com.
École Polytechnique Fédérale de Lausanne · CHUniversidade de São Paulo · BRNestlé (Switzerland) · CHClinics Hospital of Ribeirão Preto · BRVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms in genes related to the metabolism of vitamin B12 haven't been examined in a Brazilian population. To (a) determine the correlation between the local genetic ancestry components and vitamin B12 levels using ninety B12-related genes; (b) determine associations between these genes and their SNPs with vitamin B12 levels; (c) determine a polygenic risk score (PRS) using significant variants. This cross-sectional study included 168 children and adolescents, aged 9-13 years old. Total cobalamin was measured in plasma. Genotyping arrays and whole exome data were combined to yield ~ 7000 SNPs in 90 genes related to vitamin B12. The Efficient Local Ancestry Inference was used to estimate local ancestry for African (AFR), Native American, and European (EUR). The association between the genotypes and vitamin B12 levels were determined with generalized estimating equation. Vitamin B12 levels were driven by positive (EUR) and negative (AFR, AMR) correlations with genetic ancestry. A set of 36 variants were used to create a PRS that explained 42% of vitamin level variation. Vitamin B12 levels are influenced by genetic ancestry and a PRS explained almost 50% of the variation in plasma cobalamin in Brazilian children and adolescents.

Indexed as

AdolescentAge FactorsBrazilChildCross-Sectional StudiesDietary SupplementsEthnicityFemaleGenome, HumanGenotypeHealth SurveysHumansMalePolymorphism, Single NucleotideRisk FactorsVitamin B 12Vitamin B 12

Identifiers

PMID34099811
PMCPMC8184816
OpenAlexW3172980374

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.