👤 Ivana Carey

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9
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Also published as: Ashley Carey, David J Carey, Finnuella J Carey, K D Carey, Katherine M Carey, Lucas B Carey, Mark S Carey, Michelle Carey
articles
Andrea Elia, Rebecca Parodi-Rullan, Rafael Vazquez-Torres +4 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
While a link between cardiovascular risk factors and increased Alzheimer's disease (AD) risk has been reported, it remains unclear whether AD pathology has a direct effect on cardiac function and myoc Show more
While a link between cardiovascular risk factors and increased Alzheimer's disease (AD) risk has been reported, it remains unclear whether AD pathology has a direct effect on cardiac function and myocardial innervation. AD and amyloidosis are known to impair neuronal function and affect brain neurotrophic factors (NGF and BDNF) expression. Amyloid aggregates and neuro-signaling impairments may also expose AD patients to peripheral nervous system deficits, promoting cardiac disorders. Here, we provide novel understanding of cardiac physiological impairment, amyloid pathology, neurotrophic factors loss, and impoverishment of cardiac neuronal fibers in Tg2576-AD mice hearts, human cardiomyocytes in culture, and human AD post-mortem left ventricular (LV) heart tissue. We reveal that Tg2576 animals exhibit increased myocardial fibrosis, amyloid β (Aβ) deposition, and brain/heart-axis neurotrophic deficiencies, resulting in myocardial denervation and cardiac dysfunction. Aβ oligomers challenge reduces BDNF expression in both human immortalized and iPSC-derived cardiomyocytes, by disrupting TrkB/CREB signaling. Analysis of human LV AD post-mortem tissue confirms cell and animal results. Our findings reveal potential pathways by which Aβ pathology may disrupt cardiac neurotrophic signaling and physiology, identifying a possible link between AD and heart degeneration. Show less
📄 PDF DOI: 10.1002/advs.202511924
BDNF
Tobey J Betthauser, Jordan P Teague, Hailey Bruzzone +8 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
Understanding the time course of Alzheimer's disease biomarkers of amyloid and tau pathology and their temporal relation to clinical symptoms is key to identifying optimal windows for disease interven Show more
Understanding the time course of Alzheimer's disease biomarkers of amyloid and tau pathology and their temporal relation to clinical symptoms is key to identifying optimal windows for disease intervention and planning future drug trials. The goal of this work was to determine the extent to which Sampled Iterative Local Approximation (SILA), an algorithm extensively validated for amyloid PET, is capable of modeling longitudinal tau (T) PET trajectories and estimating person-level tau positivity onset ages in two commonly analyzed brain regions and two tracers from two different cohorts. 385 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI; mean (SD) age = 73.4 (7.3) years) with longitudinal flortaucipir tau PET and 288 participants from the Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center (collectively referred to as WISC; mean (SD) age = 67.4 (6.7) years) with longitudinal MK-6240 tau PET were included in the study. Standard uptake value ratios (SUVRs) in the entorhinal cortex and a meta-temporal ROI were modeled with SILA separately, for each cohort and region. Forward and backward SUVR and T+/- prediction were characterized with ten-fold cross-validation and in-sample validation techniques. Accuracy of estimated T+ onset ages (ETOA) was characterized in T- to T+ converters. Differences in ETOA were tested between SILA was able to accurately estimate retrospective change in tau SUVR in the meta-temporal region regardless of age, sex, Our results suggest SILA can be used to accurately model longitudinal tau PET trajectories and retrospectively estimate individual T+ onset ages in the meta-temporal region. The accuracy of SILA time estimates in entorhinal cortex worsened amongst those with dementia in ADNI suggesting entorhinal cortex may only be suitable for studying the temporal progression of tau during the preclinical time frame. Show less
📄 PDF DOI: 10.64898/2026.04.01.26349872
APOE
Nelson K Y Wong, Marta Llaurado Fernandez, Hannah Kim +14 more · 2026 · Translational oncology · Elsevier · added 2026-04-24
Gynecologic carcinosarcoma is an uncommon but aggressive malignancy that frequently requires systemic therapy but therapeutic options are limited. Development of preclinical models is therefore import Show more
Gynecologic carcinosarcoma is an uncommon but aggressive malignancy that frequently requires systemic therapy but therapeutic options are limited. Development of preclinical models is therefore important for therapeutic advancement. Carcinosarcoma tumor (6 uterine and 1 tubo-ovarian) from 7 surgical samples were implanted into immunocompromised mice for patient-derived xenograft (PDX) and/or cell line development. The histologic, immunophenotypic and genetic features were characterized. Based on the observed molecular profiles and targetable molecular alterations, in vivo studies were conducted to evaluate the efficacy of targeted therapy on tumor growth. We established 1 cell line and 6 PDX models which recapitulated the dominant phenotype of the respective parental tumors with preserved mesenchymal differentiation lineage in the sarcomatous component. Genomically, the PDX/cell line models preserved similar complex pattern of copy number alterations and similar mutation landscape when compared to the respective parental tumors. All 7 parental carcinosarcoma tumors and PDX/cell line models harbored pathogenic TP53 mutations. Moreover, we identified recurrent copy number gain/amplification involving several receptor tyrosine kinases (RTK), including amplification and protein over-expression of FGFR1. In vivo drug evaluation using a small molecule inhibitor (AZD4547) of FGFRs showed significant growth inhibition in the carcinosarcoma PDX tumor with the highest FGFR1 amplification and protein expression whereas AZD4547 showed no significant growth effects on carcinosarcoma lacking high level FGFR1 amplification, indicating oncogenic dependency on the amplified RTK pathway. These findings demonstrate the utility of patient-derived tumor models in the identification and the functional validation of potentially targetable molecular alterations in preclinical setting. Show less
📄 PDF DOI: 10.1016/j.tranon.2025.102591
FGFR1
Parsa Akbari, Ankit Gilani, Olukayode Sosina +59 more · 2021 · Science (New York, N.Y.) · Science · added 2026-04-24
Large-scale human exome sequencing can identify rare protein-coding variants with a large impact on complex traits such as body adiposity. We sequenced the exomes of 645,626 individuals from the Unite Show more
Large-scale human exome sequencing can identify rare protein-coding variants with a large impact on complex traits such as body adiposity. We sequenced the exomes of 645,626 individuals from the United Kingdom, the United States, and Mexico and estimated associations of rare coding variants with body mass index (BMI). We identified 16 genes with an exome-wide significant association with BMI, including those encoding five brain-expressed G protein-coupled receptors ( Show less
📄 PDF DOI: 10.1126/science.abf8683
GIPR
Bahram Namjou, Ian B Stanaway, Todd Lingren +18 more · 2021 · International journal of obesity (2005) · Nature · added 2026-04-24
Melanocortin-4 receptor (MC4R) plays an essential role in food intake and energy homeostasis. More than 170 MC4R variants have been described over the past two decades, with conflicting reports regard Show more
Melanocortin-4 receptor (MC4R) plays an essential role in food intake and energy homeostasis. More than 170 MC4R variants have been described over the past two decades, with conflicting reports regarding the prevalence and phenotypic effects of these variants in diverse cohorts. To determine the frequency of MC4R variants in large cohort of different ancestries, we evaluated the MC4R coding region for 20,537 eMERGE participants with sequencing data plus additional 77,454 independent individuals with genome-wide genotyping data at this locus. The sequencing data were obtained from the eMERGE phase III study, in which multisample variant call format calls have been generated, curated, and annotated. In addition to penetrance estimation using body mass index (BMI) as a binary outcome, GWAS and PheWAS were performed using median BMI in linear regression analyses. All results were adjusted for principal components, age, sex, and sites of genotyping. Targeted sequencing data of MC4R revealed 125 coding variants in 1839 eMERGE participants including 30 unreported coding variants that were predicted to be functionally damaging. Highly penetrant unreported variants included (L325I, E308K, D298N, S270F, F261L, T248A, D111V, and Y80F) in which seven participants had obesity class III defined as BMI ≥ 40 kg/m MC4R screening in a large eMERGE cohort confirmed many previous findings, extend the MC4R pleotropic effects, and discovered additional MC4R rare alleles that probably contribute to obesity. Show less
📄 PDF DOI: 10.1038/s41366-020-00675-4
MC4R
R Thomas Lumbers, Sonia Shah, Honghuang Lin +172 more · 2021 · ESC heart failure · Wiley · added 2026-04-24
R Thomas Lumbers, Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I Swerdlow, Anders Mälarstig, Charlotte Andersson, Niek Verweij, Michael V Holmes, Johan Ärnlöv, Per Svensson, Harry Hemingway, Neneh Sallah, Peter Almgren, Krishna G Aragam, Geraldine Asselin, Joshua D Backman, Mary L Biggs, Heather L Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R Brown, Hans-Peter Brunner-La Rocca, David J Carey, Mark D Chaffin, Daniel I Chasman, Olympe Chazara, Xing Chen, Xu Chen, Jonathan H Chung, William Chutkow, John G F Cleland, James P Cook, Simon de Denus, Abbas Dehghan, Graciela E Delgado, Spiros Denaxas, Alexander S Doney, Marcus Dörr, Samuel C Dudley, Gunnar Engström, Tõnu Esko, Ghazaleh Fatemifar, Stephan B Felix, Chris Finan, Ian Ford, Francoise Fougerousse, René Fouodjio, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S Gottdiener, Stefan Gross, Daníel F Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Christopher M Haggerty, Pim Van der Harst, Åsa K Hedman, Anna Helgadottir, Hans Hillege, Craig L Hyde, Jaison Jacob, J Wouter Jukema, Frederick Kamanu, Isabella Kardys, Maryam Kavousi, Kay-Tee Khaw, Marcus E Kleber, Lars Køber, Andrea Koekemoer, Bill Kraus, Karoline Kuchenbaecker, Claudia Langenberg, Lars Lind, Cecilia M Lindgren, Barry London, Luca A Lotta, Ruth C Lovering, Jian'an Luan, Patrik Magnusson, Anubha Mahajan, Douglas Mann, Kenneth B Margulies, Nicholas A Marston, Winfried März, John J V McMurray, Olle Melander, Giorgio Melloni, Ify R Mordi, Michael P Morley, Andrew D Morris, Andrew P Morris, Alanna C Morrison, Michael W Nagle, Christopher P Nelson, Christopher Newton-Cheh, Alexander Niessner, Teemu Niiranen, Christoph Nowak, Michelle L O'Donoghue, Anjali T Owens, Colin N A Palmer, Guillaume Paré, Markus Perola, Louis-Philippe Lemieux Perreault, Eliana Portilla-Fernandez, Bruce M Psaty, Kenneth M Rice, Paul M Ridker, Simon P R Romaine, Carolina Roselli, Jerome I Rotter, Christian T Ruff, Marc S Sabatine, Perttu Salo, Veikko Salomaa, Jessica van Setten, Alaa A Shalaby, Diane T Smelser, Nicholas L Smith, Kari Stefansson, Steen Stender, David J Stott, Garðar Sveinbjörnsson, Mari-Liis Tammesoo, Jean-Claude Tardif, Kent D Taylor, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Stella Trompet, Danny Tuckwell, Benoit Tyl, Andre G Uitterlinden, Felix Vaura, Abirami Veluchamy, Peter M Visscher, Uwe Völker, Adriaan A Voors, Xiaosong Wang, Nicholas J Wareham, Peter E Weeke, Raul Weiss, Harvey D White, Kerri L Wiggins, Heming Xing, Jian Yang, Yifan Yang, Laura M Yerges-Armstrong, Bing Yu, Faiez Zannad, Faye Zhao, Regeneron Genetics Center, Jemma B Wilk, Hilma Holm, Naveed Sattar, Steven A Lubitz, David E Lanfear, Svati Shah, Michael E Dunn, Quinn S Wells, Folkert W Asselbergs, Aroon D Hingorani, Marie-Pierre Dubé, Nilesh J Samani, Chim C Lang, Thomas P Cappola, Patrick T Ellinor, Ramachandran S Vasan, J Gustav Smith Show less
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies fro Show more
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10 HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Show less
📄 PDF DOI: 10.1002/ehf2.13517
CETP
Saima Ajaz, Mark J McPhail, Luigi Gnudi +5 more · 2021 · Mitochondrion · Elsevier · added 2026-04-24
Dysfunctional metabolism lies at the centre of the pathogenesis for Non-Alcoholic Fatty Liver Disease (NAFLD) and involves mitochondrial dysfunction, lipid dysmetabolism and oxidative stress. This stu Show more
Dysfunctional metabolism lies at the centre of the pathogenesis for Non-Alcoholic Fatty Liver Disease (NAFLD) and involves mitochondrial dysfunction, lipid dysmetabolism and oxidative stress. This study, for the first time, explores real-time energy changes in peripheral blood and corresponding metabolite changes, to investigate whether mitochondria-related immunometabolic biomarkers can predict progression in NAFLD. Thirty subjects divided into 3 groups were assessed: NAFLD with biopsy-proven mild fibrosis (n = 10), severe fibrosis (n = 10) and healthy controls (HC, n = 10). Mitochondrial functional analysis was performed in a Seahorse XFp analyzer in live peripheral blood mononuclear cells (PBMCs). Global metabolomics quantified a broad range of human plasma metabolites. Mitochondrial carbamoyl phosphate synthase 1(CPS-1), Ornithine transcarbamoylase (OTC), Fibroblast growth factor-21 (FGF-21) and a range of cytokines in plasma were measured by ELISA. NAFLD patients with severe fibrosis demonstrated reduced maximal respiration (106 ± 25 versus 242 ± 62, p < 0.05) and reserve capacity (56 ± 16 versus 184 ± 42, p = 0.006) compared to mild/moderate fibrosis. Comparing mild/moderate vs severe liver fibrosis in patients with NAFLD, 14 out of 493 quantified metabolites were significantly changed (p < 0.05). Most of the amino acids modulated were the urea cycle (UC) components which included citrulline/ornithine ratio, arginine and glutamate. Plasma levels of CPS-1 and FGF-21 were significantly higher mild versus severe fibrosis in NAFLD patients. This novel panel generated an area under the ROC of 0.95, sensitivity of 100% and specificity 80% and p = 0.0007 (F1-F2 versus F3-F4). Progression in NAFLD is associated with mitochondrial dysfunction and changes in metabolites associated with the urea cycle. We demonstrate a unique panel of mitochondrial-based, signatures which differentiate between stages of NAFLD. Mitochondrial dysfunction in peripheral cells along with alterations in metabolites of urea cycle act as a sensor of hepatocyte mitochondrial damage. These changes can be measured in blood and together represent a unique panel of biomarkers for progression of fibrosis in NAFLD. Show less
no PDF DOI: 10.1016/j.mito.2020.12.010
CPS1
Susan A Kennedy, Stephanie L Annett, Margaret R Dunne +14 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
The Rehabilitation Strategies Following Esophagogastric cancer (ReStOre) randomized control trial demonstrated a significant improvement in cardiorespiratory fitness of esophagogastric cancer survivor Show more
The Rehabilitation Strategies Following Esophagogastric cancer (ReStOre) randomized control trial demonstrated a significant improvement in cardiorespiratory fitness of esophagogastric cancer survivors. This follow-up, exploratory study analyzed the biological effect of exercise intervention on levels of 55 serum proteins, encompassing mediators of angiogenesis, inflammation, and vascular injury, from participants on the ReStOre trial. Patients >6 months disease free from esophagogastric cancer were randomized to usual care or the 12-week ReStOre program (exercise training, dietary counselling, and multidisciplinary education). Serum was collected at baseline (T0), post-intervention (T1), and at 3-month follow up (T2). Serum biomarkers were quantified by enzyme-linked immunosorbent assay (ELISA). Thirty-seven patients participated in this study; 17 in the control arm and 20 in the intervention arm. Exercise intervention resulted in significant alterations in the level of expression of serum IP-10 (mean difference (MD): 38.02 (95% CI: 0.69 to 75.35)), IL-27 (MD: 249.48 (95% CI: 22.43 to 476.53)), and the vascular injury biomarkers, ICAM-1 (MD: 1.05 (95% CI: 1.07 to 1.66)), and VCAM-1 (MD: 1.51 (95% CI: 1.04 to 2.14)) at T1. A significant increase in eotaxin-3 (MD: 2.59 (95% CI: 0.23 to 4.96)), IL-15 (MD: 0.27 (95% CI: 0 to 0.54)) and decrease in bFGF (MD: 1.62 (95% CI: -2.99 to 0.26)) expression was observed between control and intervention cohorts at T2 (p<0.05). Exercise intervention significantly altered the expression of a number of serum biomarkers in disease-free patients who had prior treatment for esophagogastric cancer. Exercise rehabilitation causes a significant biological effect on serum biomarkers in esophagogastric cancer survivors. ClinicalTrials.gov (NCT03314311). Show less
📄 PDF DOI: 10.3389/fonc.2021.669078
IL27
Dane Cheasley, Abhimanyu Nigam, Magnus Zethoven +18 more · 2021 · The Journal of pathology · Wiley · added 2026-04-24
Low-grade serous ovarian carcinoma (LGSOC) is associated with a poor response to existing chemotherapy, highlighting the need to perform comprehensive genomic analysis and identify new therapeutic vul Show more
Low-grade serous ovarian carcinoma (LGSOC) is associated with a poor response to existing chemotherapy, highlighting the need to perform comprehensive genomic analysis and identify new therapeutic vulnerabilities. The data presented here represent the largest genetic study of LGSOCs to date (n = 71), analysing 127 candidate genes derived from whole exome sequencing cohorts to generate mutation and copy-number variation data. Additionally, immunohistochemistry was performed on our LGSOC cohort assessing oestrogen receptor, progesterone receptor, TP53, and CDKN2A status. Targeted sequencing identified 47% of cases with mutations in key RAS/RAF pathway genes (KRAS, BRAF, and NRAS), as well as mutations in putative novel driver genes including USP9X (27%), MACF1 (11%), ARID1A (9%), NF2 (4%), DOT1L (6%), and ASH1L (4%). Immunohistochemistry evaluation revealed frequent oestrogen/progesterone receptor positivity (85%), along with CDKN2A protein loss (10%) and CDKN2A protein overexpression (6%), which were linked to shorter disease outcomes. Indeed, 90% of LGSOC samples harboured at least one potentially actionable alteration, which in 19/71 (27%) cases were predictive of clinical benefit from a standard treatment, either in another cancer's indication or in LGSOC specifically. In addition, we validated ubiquitin-specific protease 9X (USP9X), which is a chromosome X-linked substrate-specific deubiquitinase and tumour suppressor, as a relevant therapeutic target for LGSOC. Our comprehensive genomic study highlighted that there is an addiction to a limited number of unique 'driver' aberrations that could be translated into improved therapeutic paths. © 2020 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. Show less
no PDF DOI: 10.1002/path.5545
MACF1
Valérie Turcot, Yingchang Lu, Heather M Highland +408 more · 2018 · Nature genetics · Nature · added 2026-04-24
Valérie Turcot, Yingchang Lu, Heather M Highland, Claudia Schurmann, Anne E Justice, Rebecca S Fine, Jonathan P Bradfield, Tõnu Esko, Ayush Giri, Mariaelisa Graff, Xiuqing Guo, Audrey E Hendricks, Tugce Karaderi, Adelheid Lempradl, Adam E Locke, Anubha Mahajan, Eirini Marouli, Suthesh Sivapalaratnam, Kristin L Young, Tamuno Alfred, Mary F Feitosa, Nicholas G D Masca, Alisa K Manning, Carolina Medina-Gomez, Poorva Mudgal, Maggie C Y Ng, Alex P Reiner, Sailaja Vedantam, Sara M Willems, Thomas W Winkler, Gonçalo Abecasis, Katja K Aben, Dewan S Alam, Sameer E Alharthi, Matthew Allison, Philippe Amouyel, Folkert W Asselbergs, Paul L Auer, Beverley Balkau, Lia E Bang, Inês Barroso, Lisa Bastarache, Marianne Benn, Sven Bergmann, Lawrence F Bielak, Matthias Blüher, Michael Boehnke, Heiner Boeing, Eric Boerwinkle, Carsten A Böger, Jette Bork-Jensen, Michiel L Bots, Erwin P Bottinger, Donald W Bowden, Ivan Brandslund, Gerome Breen, Murray H Brilliant, Linda Broer, Marco Brumat, Amber A Burt, Adam S Butterworth, Peter T Campbell, Stefania Cappellani, David J Carey, Eulalia Catamo, Mark J Caulfield, John C Chambers, Daniel I Chasman, Yii-Der I Chen, Rajiv Chowdhury, Cramer Christensen, Audrey Y Chu, Massimiliano Cocca, Francis S Collins, James P Cook, Janie Corley, Jordi Corominas Galbany, Amanda J Cox, David S Crosslin, Gabriel Cuellar-Partida, Angela D'Eustacchio, John Danesh, Gail Davies, Paul I W Bakker, Mark C H Groot, Renée Mutsert, Ian J Deary, George Dedoussis, Ellen W Demerath, Martin Heijer, Anneke I Hollander, Hester M Ruijter, Joe G Dennis, Josh C Denny, Emanuele Di Angelantonio, Fotios Drenos, Mengmeng Du, Marie-Pierre Dubé, Alison M Dunning, Douglas F Easton, Todd L Edwards, David Ellinghaus, Patrick T Ellinor, Paul Elliott, Evangelos Evangelou, Aliki-Eleni Farmaki, I Sadaf Farooqi, Jessica D Faul, Sascha Fauser, Shuang Feng, Ele Ferrannini, Jean Ferrieres, Jose C Florez, Ian Ford, Myriam Fornage, Oscar H Franco, Andre Franke, Paul W Franks, Nele Friedrich, Ruth Frikke-Schmidt, Tessel E Galesloot, Wei Gan, Ilaria Gandin, Paolo Gasparini, Jane Gibson, Vilmantas Giedraitis, Anette P Gjesing, Penny Gordon-Larsen, Mathias Gorski, Hans-Jörgen Grabe, Struan F A Grant, Niels Grarup, Helen L Griffiths, Megan L Grove, Vilmundur Gudnason, Stefan Gustafsson, Jeff Haessler, Hakon Hakonarson, Anke R Hammerschlag, Torben Hansen, Kathleen Mullan Harris, Tamara B Harris, Andrew T Hattersley, Christian T Have, Caroline Hayward, Liang He, Nancy L Heard-Costa, Andrew C Heath, Iris M Heid, Øyvind Helgeland, Jussi Hernesniemi, Alex W Hewitt, Oddgeir L Holmen, G Kees Hovingh, Joanna M M Howson, Yao Hu, Paul L Huang, Jennifer E Huffman, M Arfan Ikram, Erik Ingelsson, Anne U Jackson, Jan-Håkan Jansson, Gail P Jarvik, Gorm B Jensen, Yucheng Jia, Stefan Johansson, Marit E Jørgensen, Torben Jørgensen, J Wouter Jukema, Bratati Kahali, René S Kahn, Mika Kähönen, Pia R Kamstrup, Stavroula Kanoni, Jaakko Kaprio, Maria Karaleftheri, Sharon L R Kardia, Fredrik Karpe, Sekar Kathiresan, Frank Kee, Lambertus A Kiemeney, Eric Kim, Hidetoshi Kitajima, Pirjo Komulainen, Jaspal S Kooner, Charles Kooperberg, Tellervo Korhonen, Peter Kovacs, Helena Kuivaniemi, Zoltán Kutalik, Kari Kuulasmaa, Johanna Kuusisto, Markku Laakso, Timo A Lakka, David Lamparter, Ethan M Lange, Leslie A Lange, Claudia Langenberg, Eric B Larson, Nanette R Lee, Terho Lehtimäki, Cora E Lewis, Huaixing Li, Jin Li, Ruifang Li-Gao, Honghuang Lin, Keng-Hung Lin, Li-An Lin, Xu Lin, Lars Lind, Jaana Lindström, Allan Linneberg, Ching-Ti Liu, Dajiang J Liu, Yongmei Liu, Ken S Lo, Artitaya Lophatananon, Andrew J Lotery, Anu Loukola, Jian'an Luan, Steven A Lubitz, Leo-Pekka Lyytikäinen, Satu Männistö, Gaëlle Marenne, Angela L Mazul, Mark I McCarthy, Roberta McKean-Cowdin, Sarah E Medland, Karina Meidtner, Lili Milani, Vanisha Mistry, Paul Mitchell, Karen L Mohlke, Leena Moilanen, Marie Moitry, Grant W Montgomery, Dennis O Mook-Kanamori, Carmel Moore, Trevor A Mori, Andrew D Morris, Andrew P Morris, Martina Müller-Nurasyid, Patricia B Munroe, Mike A Nalls, Narisu Narisu, Christopher P Nelson, Matt Neville, Sune F Nielsen, Kjell Nikus, Pål R Njølstad, Børge G Nordestgaard, Dale R Nyholt, Jeffrey R O'Connel, Michelle L O'Donoghue, Loes M Olde Loohuis, Roel A Ophoff, Katharine R Owen, Chris J Packard, Sandosh Padmanabhan, Colin N A Palmer, Nicholette D Palmer, Gerard Pasterkamp, Aniruddh P Patel, Alison Pattie, Oluf Pedersen, Peggy L Peissig, Gina M Peloso, Craig E Pennell, Markus Perola, James A Perry, John R B Perry, Tune H Pers, Thomas N Person, Annette Peters, Eva R B Petersen, Patricia A Peyser, Ailith Pirie, Ozren Polasek, Tinca J Polderman, Hannu Puolijoki, Olli T Raitakari, Asif Rasheed, Rainer Rauramaa, Dermot F Reilly, Frida Renström, Myriam Rheinberger, Paul M Ridker, John D Rioux, Manuel A Rivas, David J Roberts, Neil R Robertson, Antonietta Robino, Olov Rolandsson, Igor Rudan, Katherine S Ruth, Danish Saleheen, Veikko Salomaa, Nilesh J Samani, Yadav Sapkota, Naveed Sattar, Robert E Schoen, Pamela J Schreiner, Matthias B Schulze, Robert A Scott, Marcelo P Segura-Lepe, Svati H Shah, Wayne H-H Sheu, Xueling Sim, Andrew J Slater, Kerrin S Small, Albert V Smith, Lorraine Southam, Timothy D Spector, Elizabeth K Speliotes, John M Starr, Kari Stefansson, Valgerdur Steinthorsdottir, Kathleen E Stirrups, Konstantin Strauch, Heather M Stringham, Michael Stumvoll, Liang Sun, Praveen Surendran, Amy J Swift, Hayato Tada, Katherine E Tansey, Jean-Claude Tardif, Kent D Taylor, Alexander Teumer, Deborah J Thompson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Betina H Thuesen, Anke Tönjes, Gerard Tromp, Stella Trompet, Emmanouil Tsafantakis, Jaakko Tuomilehto, Anne Tybjaerg-Hansen, Jonathan P Tyrer, Rudolf Uher, André G Uitterlinden, Matti Uusitupa, Sander W Laan, Cornelia M Duijn, Nienke Leeuwen, Jessica van Setten, Mauno Vanhala, Anette Varbo, Tibor V Varga, Rohit Varma, Digna R Velez Edwards, Sita H Vermeulen, Giovanni Veronesi, Henrik Vestergaard, Veronique Vitart, Thomas F Vogt, Uwe Völker, Dragana Vuckovic, Lynne E Wagenknecht, Mark Walker, Lars Wallentin, Feijie Wang, Carol A Wang, Shuai Wang, Yiqin Wang, Erin B Ware, Nicholas J Wareham, Helen R Warren, Dawn M Waterworth, Jennifer Wessel, Harvey D White, Cristen J Willer, James G Wilson, Daniel R Witte, Andrew R Wood, Ying Wu, Hanieh Yaghootkar, Jie Yao, Pang Yao, Laura M Yerges-Armstrong, Robin Young, Eleftheria Zeggini, Xiaowei Zhan, Weihua Zhang, Jing Hua Zhao, Wei Zhao, Wei Zhou, Krina T Zondervan, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Jerome I Rotter, John A Pospisilik, Fernando Rivadeneira, Ingrid B Borecki, Panos Deloukas, Timothy M Frayling, Guillaume Lettre, Kari E North, Cecilia M Lindgren, Joel N Hirschhorn, Ruth J F Loos Show less
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding var Show more
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity. Show less
📄 PDF DOI: 10.1038/s41588-017-0011-x
GIPR
Derek Klarin, Scott M Damrauer, Kelly Cho +46 more · 2018 · Nature genetics · Nature · added 2026-04-24
The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 Show more
The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least one blood lipid measurement, including 57,332 black and 24,743 Hispanic participants, we tested up to around 32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total n > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease). Show less
📄 PDF DOI: 10.1038/s41588-018-0222-9
ANGPTL4
Viktoria Gusarova, Colm O'Dushlaine, Tanya M Teslovich +78 more · 2018 · Nature communications · Nature · added 2026-04-24
Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL Show more
Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls. Carriers of p.E40K, a variant that abolishes ANGPTL4 ability to inhibit lipoprotein lipase, have lower odds of T2D (odds ratio 0.89, 95% confidence interval 0.85-0.92, p = 6.3 × 10 Show less
📄 PDF DOI: 10.1038/s41467-018-04611-z
ANGPTL4
Seamus C Harrison, Michael V Holmes, Stephen Burgess +20 more · 2018 · JAMA cardiology · added 2026-04-24
Risk factors for abdominal aortic aneurysm (AAA) are largely unknown, which has hampered the development of nonsurgical treatments to alter the natural history of disease. To investigate the associati Show more
Risk factors for abdominal aortic aneurysm (AAA) are largely unknown, which has hampered the development of nonsurgical treatments to alter the natural history of disease. To investigate the association between lipid-associated single-nucleotide polymorphisms (SNPs) and AAA risk. Genetic risk scores, composed of lipid trait-associated SNPs, were constructed and tested for their association with AAA using conventional (inverse-variance weighted) mendelian randomization (MR) and data from international AAA genome-wide association studies. Sensitivity analyses to account for potential genetic pleiotropy included MR-Egger and weighted median MR, and multivariable MR method was used to test the independent association of lipids with AAA risk. The association between AAA and SNPs in loci that can act as proxies for drug targets was also assessed. Data collection took place between January 9, 2015, and January 4, 2016. Data analysis was conducted between January 4, 2015, and December 31, 2016. Genetic elevation of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG). The association between genetic risk scores of lipid-associated SNPs and AAA risk, as well as the association between SNPs in lipid drug targets (HMGCR, CETP, and PCSK9) and AAA risk. Up to 4914 cases and 48 002 controls were included in our analysis. A 1-SD genetic elevation of LDL-C was associated with increased AAA risk (odds ratio [OR], 1.66; 95% CI, 1.41-1.96; P = 1.1 × 10-9). For HDL-C, a 1-SD increase was associated with reduced AAA risk (OR, 0.67; 95% CI, 0.55-0.82; P = 8.3 × 10-5), whereas a 1-SD increase in triglycerides was associated with increased AAA risk (OR, 1.69; 95% CI, 1.38-2.07; P = 5.2 × 10-7). In multivariable MR analysis and both MR-Egger and weighted median MR methods, the association of each lipid fraction with AAA risk remained largely unchanged. The LDL-C-reducing allele of rs12916 in HMGCR was associated with AAA risk (OR, 0.93; 95% CI, 0.89-0.98; P = .009). The HDL-C-raising allele of rs3764261 in CETP was associated with lower AAA risk (OR, 0.89; 95% CI, 0.85-0.94; P = 3.7 × 10-7). Finally, the LDL-C-lowering allele of rs11206510 in PCSK9 was weakly associated with a lower AAA risk (OR, 0.94; 95% CI, 0.88-1.00; P = .04), but a second independent LDL-C-lowering variant in PCSK9 (rs2479409) was not associated with AAA risk (OR, 0.97; 95% CI, 0.92-1.02; P = .28). The MR analyses in this study lend support to the hypothesis that lipids play an important role in the etiology of AAA. Analyses of individual genetic variants used as proxies for drug targets support LDL-C lowering as a potential effective treatment strategy for preventing and managing AAA. Show less
📄 PDF DOI: 10.1001/jamacardio.2017.4293
CETP
Akihiro Nomura, Hong-Hee Won, Amit V Khera +62 more · 2017 · Circulation research · added 2026-04-24
Therapies that inhibit CETP (cholesteryl ester transfer protein) have failed to demonstrate a reduction in risk for coronary heart disease (CHD). Human DNA sequence variants that truncate the To test Show more
Therapies that inhibit CETP (cholesteryl ester transfer protein) have failed to demonstrate a reduction in risk for coronary heart disease (CHD). Human DNA sequence variants that truncate the To test whether protein-truncating variants (PTVs) at the We sequenced the exons of the Compared with noncarriers, carriers of PTV at Show less
📄 PDF DOI: 10.1161/CIRCRESAHA.117.311145
CETP
Irene Hinterseher, Robert Erdman, James R Elmore +17 more · 2013 · Pathobiology : journal of immunopathology, molecular and cellular biology · added 2026-04-24
Abdominal aortic aneurysm (AAA), a dilatation of the infrarenal aorta, typically affects males >65 years. The pathobiological mechanisms of human AAA are poorly understood. The goal of this study was Show more
Abdominal aortic aneurysm (AAA), a dilatation of the infrarenal aorta, typically affects males >65 years. The pathobiological mechanisms of human AAA are poorly understood. The goal of this study was to identify novel pathways involved in the development of AAAs. A custom-designed 'AAA-chip' was used to assay 43 of the differentially expressed genes identified in a previously published microarray study between AAA (n = 15) and control (n = 15) infrarenal abdominal aorta. Protein analyses were performed on selected genes. Altogether 38 of the 43 genes on the 'AAA-chip' showed significantly different expression. Novel validated genes in AAA pathobiology included ADCY7, ARL4C, BLNK, FOSB, GATM, LYZ, MFGE8, PRUNE2, PTPRC, SMTN, TMODI and TPM2. These genes represent a wide range of biological functions, such as calcium signaling, development and differentiation, as well as cell adhesion not previously implicated in AAA pathobiology. Protein analyses for GATM, CD4, CXCR4, BLNK, PLEK, LYZ, FOSB, DUSP6, ITGA5 and PTPRC confirmed the mRNA findings. The results provide new directions for future research into AAA pathogenesis to study the role of novel genes confirmed here. New treatments and diagnostic tools for AAA could potentially be identified by studying these novel pathways. Show less
📄 PDF DOI: 10.1159/000339303
DUSP6
Chun-Min Lo, Min Xu, Qing Yang +7 more · 2009 · American journal of physiology. Regulatory, integrative and comparative physiology · added 2026-04-24
CCK and apolipoprotein AIV (apo AIV) are gastrointestinal satiety signals whose synthesis and secretion by the gut are stimulated by fat absorption. Intraperitoneally administered CCK-8 is more potent Show more
CCK and apolipoprotein AIV (apo AIV) are gastrointestinal satiety signals whose synthesis and secretion by the gut are stimulated by fat absorption. Intraperitoneally administered CCK-8 is more potent in suppressing food intake than a similar dose administered intravenously, but the reason for this disparity is unclear. In contrast, both intravenous and intraperitoneally administered apo AIV are equally as potent in inhibiting food intake. When we compared the lymphatic concentration of CCK-8 and apo AIV, we found that neither intraperitoneally nor intravenously administered CCK-8 or apo AIV altered lymphatic flow rate. Interestingly, intraperitoneal administration of CCK-8 produced a significantly higher lymphatic concentration at 15 min than did intravenous administration. Intraperitoneal injection of apo AIV also yielded a higher lymphatic concentration at 30 min than did intravenous administration. Intraperitoneal administration of CCK-8 and apo AIV also resulted in a much longer period of elevated CCK-8 and apo AIV peptide concentration in lymph than intravenous administration. Furthermore, enzymatic activity of dipeptidyl peptidase IV (DPPIV) and aminopeptidase was higher in plasma than in lymph during fasting, and so, satiation peptides, such as CCK-8 and apo AIV in the lymph, are protected from degradation by the significantly lower DPPIV and aminopeptidase activity levels in lymph than in plasma. Therefore, the higher potency of intraperitoneally administered CCK-8 compared with intravenously administered CCK-8 in inhibiting food intake may be explained by both its higher concentration in lymph and the prolonged duration of its presence in the lamina propria. Show less
no PDF DOI: 10.1152/ajpregu.90410.2008
APOA4
Hongyin Wang, Lucas B Carey, Ying Cai +2 more · 2009 · PLoS biology · PLOS · added 2026-04-24
In yeast, the G1 cyclin Cln3 promotes cell cycle entry by activating the transcription factor SBF. In mammals, there is a parallel system for cell cycle entry in which cyclin dependent kinase (CDK) ac Show more
In yeast, the G1 cyclin Cln3 promotes cell cycle entry by activating the transcription factor SBF. In mammals, there is a parallel system for cell cycle entry in which cyclin dependent kinase (CDK) activates transcription factor E2F/Dp. Here we show that Cln3 regulates SBF by at least two different pathways, one involving the repressive protein Whi5, and the second involving Stb1. The Rpd3 histone deacetylase complex is also involved. Cln3 binds to SBF at the CLN2 promoter, and removes previously bound Whi5 and histone deacetylase. Adding extra copies of the SBF binding site to the cell delays Start, possibly by titrating Cln3. Since Rpd3 is the yeast ortholog of mammalian HDAC1, there is now a virtually complete analogy between the proteins regulating cell cycle entry in yeast (SBF, Cln3, Whi5 and Stb1, Rpd3) and mammals (E2F, Cyclin D, Rb, HDAC1). The cell may titrate Cln3 molecules against the number of SBF binding sites, and this could be the underlying basis of the size-control mechanism for Start. Show less
📄 PDF DOI: 10.1371/journal.pbio.1000189
CLN3
J D Jordan, K D Carey, P J Stork +1 more · 1999 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
We used the yeast two-hybrid system to identify proteins that interact directly with Galpha(o). Mutant-activated Galpha(o) was used as the bait to screen a cDNA library from chick dorsal root ganglion Show more
We used the yeast two-hybrid system to identify proteins that interact directly with Galpha(o). Mutant-activated Galpha(o) was used as the bait to screen a cDNA library from chick dorsal root ganglion neurons. We found that Galpha(o) interacted with several proteins including Gz-GTPase-activating protein (Gz-GAP), a new RGS protein (RGS-17), a novel protein of unknown function (IP6), and Rap1GAP. This study focuses on Rap1GAP, which selectively interacts with Galpha(o) and Galpha(i) but not with Galpha(s) or Galpha(q). Rap1GAP interacts more avidly with the unactivated Galpha(o) as compared with the mutant (Q205L)-activated Galpha(o). When expressed in HEK-293 cells, unactivated Galpha(o) co-immunoprecipitates with the Rap1GAP. Expression of chick Rap1GAP in PC-12 cells inhibited activation of Rap1 by forskolin. When unactivated Galpha(o) was expressed, the amount of activated Rap1 was greatly increased. This effect was not observed with the Q205L-Galpha(o). Expression of unactivated Galpha(o) stimulated MAP-kinase (MAPK1/2) activity in a Rap1GAP-dependent manner. These results identify a novel function of Galpha(o), which in its resting state can sequester Rap1GAP thereby regulating Rap1 activity and consequently gating signal flow from Rap1 to MAPK1/2. Thus, activation of G(o) could modulate the Rap1 effects on a variety of cellular functions. Show less
no PDF DOI: 10.1074/jbc.274.31.21507
RGS17