Brushaber, Danielle

This study explores US medical students’ intent to practice in underserved areas, analyzed by demographic characteristics.

AbstractBackgroundThe ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study is designed to characterize both sporadic and familial FTLD (f‐FTLD) through annual detailed clinical, neuropsychological, biomarker, and neuroimaging assessments to capture disease onset and trajectory in preparation for therapeutic trails in FTLD. Transitions from asymptomatic to mild disease, or from mild to overt, may reveal critical windows for intervention.Method169 f‐FTLD participants carrying mutations in the main FTLD‐associated genes (79 C9orf72; 37 GRN; 53 MAPT) with at least two clinical assessments were included for analysis of phenoconversion from asymptomatic or mild disease. [CDRÒ + NACC FTLD global scores (Miyagawa et al, 2020) were used to define baseline status at first visit: “asymptomatic” = 0 and “mild” = 0.5. Conversion was defined as “partial” (asymptomatic to mild), “definite” (asymptomatic to overt [CDRÒ + NACC FTLD > = 1) and “mild to overt” (0.5 to > = 1).ResultDefinite conversion occurred most often in MAPT mutation carriers, with 5/43 asymptomatic carriers transitioning through mild to overt across multiple visits. Definite conversion was also seen in 2/65 C9orf72 expansion carriers and 1/30 GRN mutation carriers. All definite converters were assessed as mild (CDRÒ + NACC FTLD = 0.5) for at least one intermediate visit; definite conversion was observed from 2‐4 years from initial assessment. Partial conversions also occurred in all three genetic groups (MAPT: 6; C9orf72: 5; GRN: 5). Further conversion is expected to be observed in these participants in additional follow‐up visits. C9orf72 expansion carriers were less likely to progress from a baseline of mild to overt (3/14) than GRN carriers (4/6) or MAPT (7/10).ConclusionLongitudinal assessment through natural history studies can capture early phenoconversion in carriers of FTLD‐associated genetic mutations; corresponding imaging, cognitive, and biomarker profiles captured may provide insights into disease mechanisms and trajectories.

AbstractBackgroundThe ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) research consortium is actively enrolling participants across 23 North American centers to characterize sporadic and familial frontotemporal dementia (FTD) and prepare for disease‐modifying clinical trials. The ability to identify, otherwise unknown, relatives among these participants is critical to rigorously build family structures for downstream clinical and genetic research studies.MethodsGenome‐wide SNP genotyping data from ALLFTD participants was used to perform lineage analyses using PLINK. Briefly, QC was performed to remove individuals with low call rate and filter autosomal SNPs for missingness, allele frequency, and deviation from Hardy‐Weinberg equilibrium, before pruning SNPs for linkage disequilibrium. Identity‐by‐descent (IBD) estimates were then calculated for determining relatedness, followed by family‐network identification and pedigree reconstruction using PRIMUS.ResultsAbout 46% of ALLFTD participants that were genotyped and passed QC (n = 1,453) had reported a family history, while 50% (n = 721) did not and were considered sporadic. We identified a total of 460 participants that had at least one relative who was second degree or closer (PI_HAT>0.1875) based on IBD sharing, resulting in 150 family networks. This included 9 participants who self‐identified as sporadic, demonstrating the utility of direct genetic characterization to determine familiality in FTD. Most of the predicted families were associated with disease causing variants in the 3 major FTD‐causing genes: 66 families with known C9orf72 repeat expansion carriers, 35 with MAPT (including 11 families with the variant historically known as p.P301L) and 30 with GRN pathogenic variant carriers, as well as 2 families with carriers of both a C9orf72 expansion and a GRN pathogenic variant. We also identified 5 families with carriers of pathogenic variants in other familial dementia genes (2 TARDBP, 2 VCP and 1 PSEN1), as well as 12 families with yet unknown genetic etiology.ConclusionsThis dataset sets up a crucial resource to increase statistical accuracy and power in downstream association studies using the clinical, neuropsychological, neuroimaging and biomarker data currently being generated by the ALLFTD consortium. It will also facilitate genetic studies aimed at novel gene discovery, and identification of haplotypes and genetic modifiers associated with the 3 major FTD causal genes.