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Using Long-Term Follow-Up Data to Classify Genetic Variants in Newborn Screened Conditions

Frontiers in Genetics(2022)10.3389/fgene.2022.859837Source: DataRank Database

Using Long-Term Follow-Up Data to Classify Genetic Variants in Newborn Screened Conditions is a research paper published in Frontiers in Genetics (2022). On theSindex it has a DataRank of 0. It has been cited 5 times.

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0DataRank · unranked

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.85)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Mathew J. Edick ORCID,Susan A. Berry ORCID,M. J. Hartnett ORCID,Amy Brower ORCID,Kevin Wilhelm ORCID

Live enrichment

PubMed:35692825 PMC:PMC9178101 OpenAlex:https://openalex.org/W4281568457

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Grant: HHSN275201800005C

Maternal and Child Health Bureau

Grant: H46MC24094 H46MC24092 H46MC24089 H46MC24095

FWCI

0.85

Citation Percentile

0.7%

Citation Trend

2023

2024

goldLicense: cc-by

journalhttps://doi.org/10.3389/fgene.2022.859837

publisherhttps://doi.org/10.3389/fgene.2022.859837

publisherhttps://www.frontiersin.org/articles/10.3389/fgene.2022.859837/full

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35692825

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9178101

Fields of Study

Genomics and Rare DiseasesMetabolism and Genetic DisordersGenetics and Neurodevelopmental Disorders

Keywords

Genetic testingPersonalized medicineGenetic variantsGenetic variationGenotypeLongitudinal studyGenotype-phenotype distinctionGenetic counselingDiseasePhenotypeIdentification (biology)BiologyMedicineGeneticsGeneInternal medicinePathologyLongitudinal dataInborn Errors Of MetabolismNewborn ScreeningVariant ClassificationClinvarAmerican College Of Medical Genetics And Genomics (Acmg)Longitudinal Pediatric Data Resource (Lpdr)Newborn Screening Translational Research Network (Nbstrn)

Using Long-Term Follow-Up Data to Classify Genetic Variants in Newborn Screened Conditions

FAIR Checklist

Authors (5)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)