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Full-Text Articles in Life Sciences

Key Variants Via The Alzheimer's Disease Sequencing Project Whole Genome Sequence Data, Yanbing Wang, Chloé Sarnowski, Honghuang Lin, Achilleas N Pitsillides, Nancy L Heard-Costa, Seung Hoan Choi, Dongyu Wang, Joshua C Bis, Elizabeth E Blue, Eric Boerwinkle, Philip L De Jager, Myriam Fornage, Ellen M Wijsman, Sudha Seshadri, Josée Dupuis, Gina M Peloso, Anita L Destefano May 2024

Key Variants Via The Alzheimer's Disease Sequencing Project Whole Genome Sequence Data, Yanbing Wang, Chloé Sarnowski, Honghuang Lin, Achilleas N Pitsillides, Nancy L Heard-Costa, Seung Hoan Choi, Dongyu Wang, Joshua C Bis, Elizabeth E Blue, Eric Boerwinkle, Philip L De Jager, Myriam Fornage, Ellen M Wijsman, Sudha Seshadri, Josée Dupuis, Gina M Peloso, Anita L Destefano

Journal Articles

INTRODUCTION: Genome-wide association studies (GWAS) have identified loci associated with Alzheimer's disease (AD) but did not identify specific causal genes or variants within those loci. Analysis of whole genome sequence (WGS) data, which interrogates the entire genome and captures rare variations, may identify causal variants within GWAS loci.

METHODS: We performed single common variant association analysis and rare variant aggregate analyses in the pooled population (N cases = 2184, N controls = 2383) and targeted analyses in subpopulations using WGS data from the Alzheimer's Disease Sequencing Project (ADSP). The analyses were restricted to variants within 100 kb of 83 previously …


Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au Jan 2024

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …