Evidence for Three Subgroups of Female FMR1 Premutation Carriers Defined by Distinct Neuropsychiatric Features: A Pilot Study

• Published in: Frontiers in integrative neuroscience Vol. 15; p. 797546
• Main Authors: Schmitt, Lauren M, Dominick, Kelli C, Liu, Rui, Pedapati, Ernest V, Ethridge, Lauren E, Smith, Elizabeth, Sweeney, John A, Erickson, Craig A
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 03.01.2022; Frontiers Media S.A
• Subjects: 5' Untranslated Regions; Anxiety; cluster analysis; Cognition; Cytosine; EEG; Executive function; Eye movements; Females; FMR1 protein; Fragile X premutation; Fragile X premutation carrier; Fragile X syndrome; Guanine; Intellectual disabilities; Laboratories; Medical records; Mental depression; Mutation; Neuroscience; Proteins; resting state EEG; Risk factors; Statistical analysis; Trinucleotide repeats; Fragile X premutation carrier; Fragile X premutation; cluster analysis; executive function; resting state EEG
• ISSN: 1662-5145; 1662-5145
• DOI: 10.3389/fnint.2021.797546

Over 200 Cytosine-guanine-guanine (CGG) trinucleotide repeats in the 5' untranslated region of the Fragile X mental retardation 1 ( ) gene results in a "full mutation," clinically Fragile X Syndrome (FXS), whereas 55 - 200 repeats result in a "premutation." premutation carriers (PMC) are at an increased risk for a range of psychiatric, neurocognitive, and physical conditions. Few studies have examined the variable expression of neuropsychiatric features in female PMCs, and whether heterogeneous presentation among female PMCs may reflect differential presentation of features in unique subgroups. In the current pilot study, we examined 41 female PMCs (ages 17-78 years) and 15 age-, sex-, and IQ-matched typically developing controls (TDC) across a battery of self-report, eye tracking, expressive language, neurocognitive, and resting state EEG measures to determine the feasibility of identifying discrete clusters. Secondly, we sought to identify the key features that distinguished these clusters of female PMCs. We found a three cluster solution using -means clustering. Cluster 1 represented a psychiatric feature group (27% of our sample); cluster 2 represented a group with executive dysfunction and elevated high frequency neural oscillatory activity (32%); and cluster 3 represented a relatively unaffected group (41%). Our findings indicate the feasibility of using a data-driven approach to identify naturally occurring clusters in female PMCs using a multi-method assessment battery. CGG repeat count and its association with neuropsychiatric features differ across clusters. Together, our findings provide important insight into potential diverging pathophysiological mechanisms and risk factors for each female PMC cluster, which may ultimately help provide novel and individualized targets for treatment options.