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Item Defining a project proposal to enhance the Medical Library Association’s annual meeting through Session-level assessment: The exploration of the 2017-2018 Rising Star cohort(Hypothesis: Journal of the Research Section of MLA, 2018) Theis-Mahon, Nicole; Menard, Laura M.; Schmillen, Hanna; Stark, RachelObjectives: Associations and organizations rely on feedback from membership to assess conferences, programs, and meetings. The Medical Library Association (MLA) utilizes post-conference assessment to get an overall evaluation of the meeting. While this informs future meeting planning, it does not provide targeted assessment data about the perceived quality and relevance of sessions, papers, or posters. Incorporating session-level, just-in-time feedback would further engage meeting attendees and ensure relevance of the meeting to the membership. Methods: The 2017-2018 MLA Rising Star cohort investigated the interest in and use of session level, just-in-time feedback at conferences of seven peer associations. A five-question survey to gauge MLA member interest in session-level feedback was distributed in February 2018. The survey was only available to current MLA members and advertised on the MLA blog, distributed to Section and SIG, state, and select MLA Chapter lists. Live polling was also conducted at the May 22, 2018, MLA Rising Star project proposal presentation. Results: The cohort received responses from five peer associations and only three are using some form of session-level, just-in-time assessment at their conferences. The February 2018 MLA membership survey yielded 157 responses. 94% of respondents (n=147) had attended a MLA meeting and 72% of respondents agreed that they would find session-level assessment valuable. Respondents indicated that they would be interested in receiving feedback from attendees about the application of their session’s content, whether attendees learned something new, and if their session met expectations. Of attendees at this May 22, 2018, project proposal presentation, 97% agreed that they would value the opportunity to provide session-level, and 91% indicated that as a presenter would find attendee feedback useful. Conclusion: The investigation by the 2017-2018 MLA Rising Star Cohort indicated an interest in session-level, just-in-time feedback for MLA’s annual meetings.Item Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer's disease related proteins(BMC, 2023-01-07) Oatman, Stephanie R.; Reddy, Joseph S.; Quicksall, Zachary; Carrasquillo, Minerva M.; Wang, Xue; Liu, Chia‑Chen; Yamazaki, Yu; Nguyen, Thuy T.; Malphrus, Kimberly; Heckman, Michael; Biswas, Kristi; Nho, Kwangsik; Baker, Matthew; Martens, Yuka A.; Zhao, Na; Kim, Jun Pyo; Risacher, Shannon L.; Rademakers, Rosa; Saykin, Andrew J.; DeTure, Michael; Murray, Melissa E.; Kanekiyo, Takahisa; Alzheimer’s Disease Neuroimaging Initiative; Dickson, Dennis W.; Bu, Guojun; Allen, Mariet; Ertekin‑Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Alzheimer's disease (AD) is neuropathologically characterized by amyloid-beta (Aβ) plaques and neurofibrillary tangles. The main protein components of these hallmarks include Aβ40, Aβ42, tau, phosphor-tau, and APOE. We hypothesize that genetic variants influence the levels and solubility of these AD-related proteins in the brain; identifying these may provide key insights into disease pathogenesis. Methods: Genome-wide genotypes were collected from 441 AD cases, imputed to the haplotype reference consortium (HRC) panel, and filtered for quality and frequency. Temporal cortex levels of five AD-related proteins from three fractions, buffer-soluble (TBS), detergent-soluble (Triton-X = TX), and insoluble (Formic acid = FA), were available for these same individuals. Variants were tested for association with each quantitative biochemical measure using linear regression, and GSA-SNP2 was used to identify enriched Gene Ontology (GO) terms. Implicated variants and genes were further assessed for association with other relevant variables. Results: We identified genome-wide significant associations at seven novel loci and the APOE locus. Genes and variants at these loci also associate with multiple AD-related measures, regulate gene expression, have cell-type specific enrichment, and roles in brain health and other neuropsychiatric diseases. Pathway analysis identified significant enrichment of shared and distinct biological pathways. Conclusions: Although all biochemical measures tested reflect proteins core to AD pathology, our results strongly suggest that each have unique genetic architecture and biological pathways that influence their specific biochemical states in the brain. Our novel approach of deep brain biochemical endophenotype GWAS has implications for pathophysiology of proteostasis in AD that can guide therapeutic discovery efforts focused on these proteins.Item Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study(medRxiv, 2023-06-29) Wang, Yuxuan; Selvaraj, Margaret Sunitha; Li, Xihao; Li, Zilin; Holdcraft, Jacob A.; Arnett, Donna K.; Bis, Joshua C.; Blangero, John; Boerwinkle, Eric; Bowden, Donald W.; Cade, Brian E.; Carlson, Jenna C.; Carson, April P.; Chen, Yii-Der Ida; Curran, Joanne E.; de Vries, Paul S.; Dutcher, Susan K.; Ellinor, Patrick T.; Floyd, James S.; Fornage, Myriam; Freedman, Barry I.; Gabriel, Stacey; Germer, Soren; Gibbs, Richard A.; Guo, Xiuqing; He, Jiang; Heard-Costa, Nancy; Hildalgo, Bertha; Hou, Lifang; Irvin, Marguerite R.; Joehanes, Roby; Kaplan, Robert C.; Kardia, Sharon Lr.; Kelly, Tanika N.; Kim, Ryan; Kooperberg, Charles; Kral, Brian G.; Levy, Daniel; Li, Changwei; Liu, Chunyu; Lloyd-Jone, Don; Loos, Ruth Jf.; Mahaney, Michael C.; Martin, Lisa W.; Mathias, Rasika A.; Minster, Ryan L.; Mitchell, Braxton D.; Montasser, May E.; Morrison, Alanna C.; Murabito, Joanne M.; Naseri, Take; O'Connell, Jeffrey R.; Palmer, Nicholette D.; Preuss, Michael H.; Psaty, Bruce M.; Raffield, Laura M.; Rao, Dabeeru C.; Redline, Susan; Reiner, Alexander P.; Rich, Stephen S.; Ruepena, Muagututi'a Sefuiva; Sheu, Wayne H-H; Smith, Jennifer A.; Smith, Albert; Tiwari, Hemant K.; Tsai, Michael Y.; Viaud-Martinez, Karine A.; Wang, Zhe; Yanek, Lisa R.; Zhao, Wei; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; Rotter, Jerome I.; Lin, Xihong; Natarajan, Pradeep; Peloso, Gina M.; Biostatistics and Health Data Science, School of MedicineLong non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.