Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample
| Autor: | Jinkuk Hong, Ron Stewart, Mei W. Baker, Arezoo Movaghar, David C. Page, Murray H. Brilliant, Elizabeth Berry-Kravis, Krishanu Saha, Marsha R. Mailick, Finn Kuusisto, Leann Smith DaWalt, Jan S. Greenberg |
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| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
education.field_of_study medicine.medical_specialty Multidisciplinary business.industry Public health Population Population based sample Affect (psychology) Biobank FMR1 Phenotype 3. Good health 03 medical and health sciences 0302 clinical medicine Medicine education business Clinical risk factor 030217 neurology & neurosurgery 030304 developmental biology Clinical psychology |
| Zdroj: | Science Advances. 5 |
| ISSN: | 2375-2548 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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