Leanne M. Munsie
Eli Lilly and Company
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Publication
Featured researches published by Leanne M. Munsie.
Brain Imaging and Behavior | 2014
Li Shen; Paul M. Thompson; Steven G. Potkin; Lars Bertram; Lindsay A. Farrer; Tatiana Foroud; Robert C. Green; Xiaolan Hu; Matthew J. Huentelman; Sungeun Kim; John Kauwe; Qingqin Li; Enchi Liu; Fabio Macciardi; Jason H. Moore; Leanne M. Munsie; Kwangsik Nho; Vijay K. Ramanan; Shannon L. Risacher; David J. Stone; Shanker Swaminathan; Arthur W. Toga; Michael W. Weiner; Andrew J. Saykin
The Genetics Core of the Alzheimer’s Disease Neuroimaging Initiative (ADNI), formally established in 2009, aims to provide resources and facilitate research related to genetic predictors of multidimensional Alzheimer’s disease (AD)-related phenotypes. Here, we provide a systematic review of genetic studies published between 2009 and 2012 where either ADNI APOE genotype or genome-wide association study (GWAS) data were used. We review and synthesize ADNI genetic associations with disease status or quantitative disease endophenotypes including structural and functional neuroimaging, fluid biomarker assays, and cognitive performance. We also discuss the diverse analytical strategies used in these studies, including univariate and multivariate analysis, meta-analysis, pathway analysis, and interaction and network analysis. Finally, we perform pathway and network enrichment analyses of these ADNI genetic associations to highlight key mechanisms that may drive disease onset and trajectory. Major ADNI findings included all the top 10 AD genes and several of these (e.g., APOE, BIN1, CLU, CR1, and PICALM) were corroborated by ADNI imaging, fluid and cognitive phenotypes. ADNI imaging genetics studies discovered novel findings (e.g., FRMD6) that were later replicated on different data sets. Several other genes (e.g., APOC1, FTO, GRIN2B, MAGI2, and TOMM40) were associated with multiple ADNI phenotypes, warranting further investigation on other data sets. The broad availability and wide scope of ADNI genetic and phenotypic data has advanced our understanding of the genetic basis of AD and has nominated novel targets for future studies employing next-generation sequencing and convergent multi-omics approaches, and for clinical drug and biomarker development.
Alzheimers & Dementia | 2015
Andrew J. Saykin; Li Shen; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Vijay K. Ramanan; Tatiana Foroud; Kelley Faber; Nadeem Sarwar; Leanne M. Munsie; Xiaolan Hu; Holly Soares; Steven G. Potkin; Paul M. Thompson; John Kauwe; Rima Kaddurah-Daouk; Robert C. Green; Arthur W. Toga; Michael W. Weiner
Genetic data from the Alzheimers Disease Neuroimaging Initiative (ADNI) have been crucial in advancing the understanding of Alzheimers disease (AD) pathophysiology. Here, we provide an update on sample collection, scientific progress and opportunities, conceptual issues, and future plans.
Molecular Pain | 2014
Daniel Ursu; Philip J. Ebert; Emily Langron; Cara Ruble; Leanne M. Munsie; Wei Zou; Bonnie Fijal; Yue-Wei Qian; Terry A. McNearney; Adrian J. Mogg; Olivera Grubisha; Kalpana M. Merchant; Emanuele Sher
BackgroundGenetic causes of exaggerated or reduced pain sensitivity in humans are well known. Recently, single nucleotide polymorphisms (SNPs) in the gene P2RX7, coding for the ATP-gated ion channel P2X7, have been described that cause gain-of-function (GOF) and loss-of-function (LOF), respectively of this channel. Importantly, P2RX7 SNPs have been associated with more or less severe pain scores in patient suffering of post-mastectomy pain and osteoarthritis.ResultsThe functional consequences of some P2RX7 SNPs (rs208294 (His155Tyr), rs1718119 (Ala348Thr) and rs3751143 (Glu496Ala)) were studied in recombinant cells in vitro. Our findings suggest a correlation between GOF and LOF of P2X7 and actual channel protein expression. Both channel and pore function for these mutant P2X7 receptors changed in parallel to protein levels. On the other hand, the mutant receptors did not differ in their sensitivity to known P2X7 agonists and antagonists. We further demonstrated that in patients with diabetic peripheral neuropathic pain (DPNP), the presence of the GOF SNPs rs208294 (His155Tyr) and rs1718119 (Ala348Thr) is associated, in females, with higher pain intensity scores.ConclusionsOur present results confirm the physiological relevance of some of the SNPs in the P2RX7 gene and show that the presence of these genetic variants correlates with pain sensitivity also in a diabetic neuropathic pain patient population.
Neuroepidemiology | 2014
Alden L. Gross; Richard Sherva; Shubhabrata Mukherjee; Stephen Newhouse; John Kauwe; Leanne M. Munsie; Leo Waterston; David A. Bennett; Richard N. Jones; Robert C. Green; Paul K. Crane
Background: We sought to identify optimal approaches by calibrating longitudinal cognitive performance across studies with different neuropsychological batteries. Methods: We examined four approaches to calibrate cognitive performance in nine longitudinal studies of Alzheimers disease (AD) (n = 10,875): (1) common test, (2) standardize and average available tests, (3) confirmatory factor analysis (CFA) with continuous indicators, and (4) CFA with categorical indicators. To compare precision, we determined the minimum sample sizes needed to detect 25% cognitive decline with 80% power. To compare criterion validity, we correlated cognitive change from each approach with 6-year changes in average cortical thickness and hippocampal volume using available MRI data from the AD Neuroimaging Initiative. Results: CFA with categorical indicators required the smallest sample size to detect 25% cognitive decline with 80% power (n = 232) compared to common test (n = 277), standardize-and-average (n = 291), and CFA with continuous indicators (n = 315) approaches. Associations with changes in biomarkers changes were the strongest for CFA with categorical indicators. Conclusions: CFA with categorical indicators demonstrated greater power to detect change and superior criterion validity compared to other approaches. It has wide applicability to directly compare cognitive performance across studies, making it a good way to obtain operational phenotypes for genetic analyses of cognitive decline among people with AD. i 2014 S. Karger AG, Basel
Journal of Personalized Medicine | 2016
Laura Nisenbaum; Anncatherine Marie Downing; Fangyi Zhao; Brian A. Millen; Leanne M. Munsie; Bruce J. Kinon; David H. Adams; Juan-Carlos Gómez; Michelle Ann Penny
This study aims to confirm the initial pharmacogenetic finding observed within the clinical proof-of-concept trial of an enhanced response to treatment with pomaglumetad methionil (LY2140023 monohydrate) in Caucasian schizophrenia patients homozygous for T/T at single nucleotide polymorphism rs7330461 in the serotonin (5-hydroxytryptamine) 2A receptor gene compared to A/A homozygous patients. The effect of the rs7330461 genotype on the response to pomaglumetad methionil treatment was assessed in three additional clinical trials and in an integrated analysis. Overall, this study includes data from 1115 Caucasian patients for whom genotyping information for rs7330461 was available, consisting of 513 A/A homozygous, 466 A/T heterozygous and 136 T/T homozygous patients. Caucasian T/T homozygous patients showed significantly (p ≤ 0.05) greater improvement in Positive and Negative Syndrome Scale (PANSS) total scores during treatment with pomaglumetad methionil 40 mg twice daily compared to A/A homozygous patients. Additionally, T/T homozygous patients receiving pomaglumetad methionil had significantly (p ≤ 0.05) greater improvements in PANSS total scores compared to placebo and similar improvements as T/T homozygous patients receiving standard-of-care (SOC) treatment. The findings reported here in conjunction with prior reports show that in Caucasian patients with schizophrenia, the T/T genotype at rs7330461 is consistently associated with an increased treatment response to pomaglumetad methionil compared to the A/A genotype.
BMC Genetics | 2016
Cara Ruble; Ryan M. Smith; John N. Calley; Leanne M. Munsie; David C. Airey; Yuan Gao; Joo Heon Shin; Thomas M. Hyde; Richard E. Straub; Daniel R. Weinberger; Laura Nisenbaum
AbstractBackgroundThe serotonin 2A receptor is widely implicated in genetic association studies and remains an important drug target for psychiatric, neurological, and cardiovascular conditions. RNA sequencing redefined the architecture of the serotonin 2A receptor gene (HTR2A), revealing novel mRNA transcript isoforms utilizing unannotated untranslated regions of the gene. Expression of these untranslated regions is modulated by common single nucleotide polymorphisms (SNPs), namely rs6311. Previous studies did not fully capture the complexity of the sense- and antisense-encoded transcripts with respect to novel exons in the HTR2A gene locus. Here, we comprehensively catalogued exons and RNA isoforms for both HTR2A and HTR2A-AS1 using RNA-Seq from human prefrontal cortex and multiple mouse tissues. We subsequently tested associations between expression of newfound gene features and common SNPs in humans.ResultsWe find that the human HTR2A gene spans ~66 kilobases and consists of 7, rather than 4 exons. Furthermore, the revised human HTR2A-AS1 gene spans ~474 kilobases and consists of 18, rather than 3 exons. Three HTR2A exons directly overlap with HTR2A-AS1 exons, suggesting potential for complementary nucleotide interactions. The repertoire of possible mouse Htr2a splice isoforms is remarkably similar to humans and we also find evidence for overlapping sense-antisense transcripts in the same relative positions as the human transcripts. rs6311 and SNPs in high linkage disequilibrium are associated with HTR2A-AS1 expression, in addition to previously described associations with expression of the extended 5’ untranslated region of HTR2A.ConclusionsOur proposed HTR2A and HTR2A-AS1 gene structures dramatically differ from current annotations, now including overlapping exons on the sense and anti-sense strands. We also find orthologous transcript isoforms expressed in mice, providing opportunities to elucidate the biological roles of the human isoforms using a model system. Associations between rs6311 and expression of HTR2A and HTR2A-AS1 suggest this polymorphism is capable of modulating the expression of the sense or antisense transcripts. Still unclear is whether these SNPs act directly on the expression of the sense or antisense transcripts and whether overlapping exons are capable of interacting through complimentary base-pairing. Additional studies are necessary to determine the extent and nature of interactions between the SNPs and the transcripts prior to interpreting these findings in the context of phenotypes associated with HTR2A.
Journal of the American Geriatrics Society | 2018
Nicole R. Fowler; Noll L. Campbell; Gerhardt Pohl; Leanne M. Munsie; Noam Y. Kirson; Urvi Desai; Erich Trieschman; Mark K. Meiselbach; J. Scott Andrews; Malaz Boustani
To examine the effect of the Medicare Annual Wellness Visit (AWV) on the detection of cognitive impairment and on follow‐up cognitive care for older adults.
Alzheimers & Dementia | 2017
Nicole R. Fowler; Noll L. Campbell; Gerhardt Pohl; Leanne M. Munsie; Noam Y. Kirson; Urvi Desai; Erich Trieschman; Mark K. Meiselbach; Jeffrey Scott Andrews; Yoko Tanaka; Malaz Boustani
Presence of depression, n (%) 12,697 (19.1%) 12,660 (19.1%) Index event provider, n (%) Internal medicine 37,234 (56.1%) 37,612 (56.6%) Family practice 21,084 (31.8%) 26,468 (39.9%) Nurse practitioner 1,474 (2.2%) 0 (0.0%) General practice 860 (1.3%) 1,754 (2.6%) Geriatric medicine 290 (0.4%) 565 (0.9%) Physician assistant 648 (1.0%) 0 (0.0%) Missing provider specialty 914 (1.4%) 0 (0.0%) Other provider 3.895 (5.9%) 0 (0.0%)
Neuroepidemiology | 2014
Alice Theadom; Tanya Gurevich; Hanadi Machmid; Dina Klepikov; Adi Ezra; Nir Giladi; Chava Peretz; Seyed-Mohammad Fereshtehnejad; Mahdiyeh Shafieesabet; Arash Rahmani; Farzaneh Farhadi; Hasti Hadizadeh; Gholam Ali Shahidi; Ahmad Delbari; Johan LFkk; Ettore Beghi; Valentina Regio; Annamaria Papantonio; Anna Rita Bentivoglio; Alfonso Fasano; Danilo Fogli; Laura Giordano; Roberto Piolti; Giuseppe Rinaldi; P. Simone; Luigi Maria Specchio; Pietro Tonali; Paola Torelli; Michele Zarrelli; Paolo Messina
71 4th International Congress on Neurology and Epidemiology Kuala Lumpur, Malaysia, November 6–8, 2014 Editors: Feigin, V.L. (Auckland); Sahathevan, R. (Kuala Lumpur); Ibrahim, N.V. (Kuala Lumpur) (available online only) Methods in Neuroepidemiology 114 The Shanghai Aging Study: Study Design, Baseline Characteristics, and Prevalence of Dementia Ding, D.; Zhao, Q.; Guo, Q.; Meng, H.; Wang, B.; Yu, P.; Luo, J.; Zhou, Y.; Yu, L.; Zheng, L.; Chu, S. (Shanghai); Mortimer, J.A.; Borenstein, A.R. (Tampa, Fla.); Hong, Z. (Shanghai) 123 Methodology and Design of a National Epidemiological Study on Adult Neuromuscular Disease Lefter, S. (Cork/Dublin); Hardiman, O. (Dublin); Ryan, A.M. (Cork)
Biological Psychiatry | 2013
Ryan M. Smith; Audrey C. Papp; Amy Webb; Cara Ruble; Leanne M. Munsie; Laura Nisenbaum; Joel E. Kleinman; Barbara K. Lipska; Wolfgang Sadee