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Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample.

Publication ,  Journal Article
Movaghar, A; Page, D; Brilliant, M; Baker, MW; Greenberg, J; Hong, J; DaWalt, LS; Saha, K; Kuusisto, F; Stewart, R; Berry-Kravis, E; Mailick, MR
Published in: Sci Adv
August 2019

The impact of the FMR1 premutation on human health is the subject of considerable controversy. A fundamental unanswered question is whether carrying the premutation allele is directly correlated with clinical phenotypes. A challenging problem in past genotype-phenotype studies of the FMR1 premutation is ascertainment bias, which could lead to invalid research conclusions and negatively affect clinical practice. Here, we created the first population-based FMR1-informed biobank to find the pattern of health characteristics in premutation carriers. Our extensive phenotyping shows that premutation carriers experience a clinical profile that is significantly different from controls and is evident throughout adulthood. Comprehensive understanding of the clinical risk associated with this genetic variant is critical for premutation carriers, their families, and clinicians and has important implications for public health.

Duke Scholars

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Published In

Sci Adv

DOI

EISSN

2375-2548

Publication Date

August 2019

Volume

5

Issue

8

Start / End Page

eaaw7195

Location

United States

Related Subject Headings

  • Workflow
  • ROC Curve
  • Population Surveillance
  • Phenotype
  • Mutation
  • Male
  • Humans
  • Heterozygote
  • Genetic Predisposition to Disease
  • Genetic Association Studies
 

Citation

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Movaghar, A., Page, D., Brilliant, M., Baker, M. W., Greenberg, J., Hong, J., … Mailick, M. R. (2019). Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample. Sci Adv, 5(8), eaaw7195. https://doi.org/10.1126/sciadv.aaw7195
Movaghar, Arezoo, David Page, Murray Brilliant, Mei Wang Baker, Jan Greenberg, Jinkuk Hong, Leann Smith DaWalt, et al. “Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample.Sci Adv 5, no. 8 (August 2019): eaaw7195. https://doi.org/10.1126/sciadv.aaw7195.
Movaghar A, Page D, Brilliant M, Baker MW, Greenberg J, Hong J, et al. Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample. Sci Adv. 2019 Aug;5(8):eaaw7195.
Movaghar, Arezoo, et al. “Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample.Sci Adv, vol. 5, no. 8, Aug. 2019, p. eaaw7195. Pubmed, doi:10.1126/sciadv.aaw7195.
Movaghar A, Page D, Brilliant M, Baker MW, Greenberg J, Hong J, DaWalt LS, Saha K, Kuusisto F, Stewart R, Berry-Kravis E, Mailick MR. Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample. Sci Adv. 2019 Aug;5(8):eaaw7195.

Published In

Sci Adv

DOI

EISSN

2375-2548

Publication Date

August 2019

Volume

5

Issue

8

Start / End Page

eaaw7195

Location

United States

Related Subject Headings

  • Workflow
  • ROC Curve
  • Population Surveillance
  • Phenotype
  • Mutation
  • Male
  • Humans
  • Heterozygote
  • Genetic Predisposition to Disease
  • Genetic Association Studies