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4565 citation(s) found for "Yu, Virginia".

The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers
Wang, Zhaoming , Schumacher, Fredrick R. , Gayther, Simon A. , Casey, Graham , Sellers, Thomas A. , Gruber, Stephen B., Dunning, Alison M. , Michailidou, Kyriaki , Fachal, Laura , Doheny, Kimberly F. , Li, Yafang , Xiao, Xiangjun , Romm, Jane, Pugh, Elizabeth, Coetzee, Gerhard A. , Hazelett, Dennis J. , Bojesen, Stig E. , Caga-Anan, Charlisse , Haiman, Christopher A. , Kamal, Ahsan , Luccarini, Craig , Tessier, Daniel C., Vincent, Daniel , Bacot, François, Berg, David Van Den , Nelson, Stefanie A. , Demetriades, Stephen, Goldgar, David E., Forman, Judith L., Conti, David V. , Bickeböller, Heike , Risch, Angela , Waldenberger, Mélanie , Brüske‐Hohlfeld, Irene, Hicks, Belynda , McGuffog, Lesley, Kuchenbaecker, Karoline , Soucy, Penny, Manz, Judith, Cunningham, Julie M. , Butterbach, Katja, Kote‐Jarai, Zsofia , Kraft, Peter , Lindström, Sara , Adams, Marcia, McKay, James , Phelan, Catherine M., Benlloch, Sara, Kelemen, Linda E., Brennan, Paul , Riggan, Marjorie J. , O’Mara, Tracy A. , Shen, Hongbing , Shi, Yongyong , Thompson, Deborah J. , Goodman, Marc T. , Nielsen, Sune F. , LaBoissière, Sylvie, Schmit, Stephanie L. , Shelford, Tameka, Edlund, Christopher K., Taylor, Jack A. , Field, John K. , Park, Sue K. , Offit, Kenneth , Thomassen, Mads , Schmutzler, Rita K., Ottini, Laura , Hung, Rayjean J., Olama, Ali Amin Al , Peters, Ulrike , Eeles, Rosalind A. , Seldin, Michael F., Gillanders, Elizabeth M. , Seminara, Daniela, Antoniou, Antonis C. , Chenevix‐Trench, Georgia , Simard, Jacques , Easton, Douglas F. , Durocher, Francine , Hung, Rayjean J. , Amos, Christopher I. , Dennis, Joe , Byun, Jinyoung , Hunter, David J. , Spurdle, Amanda B. , Couch, Fergus J. , Giles, Graham G. , Ling, Hua , Lee, Andrew , FitzGerald, Liesel M. , Berchuck, Andrew , Marchini, Jonathan , Pharoah, Paul D.P. , Chanock, Stephen Jacob , Hazelett, Dennis J , Eeles, Rosalind A , Van Den Berg, David J , Hung, Rayjean J , Wang, Zhaoming , O'Mara, Tracy A , Field, John K , Dunning, Alison M , Michailidou, Kyriaki , Taylor, Jack A , Kraft, Peter , Simard, Jacques , Chenevix-Trench, Georgia , Ottini, Laura , Conti, David V , Bojesen, Stig E , Risch, Angela , Bickeböller, Heike , Shen, Hongbing , Goodman, Marc T , Fachal, Laura

Cancer Epidemiology, Biomarkers & Prevention | October 3, 2016 | Volume: 26 | Issue: 1 | Pages: 126-135

10.1158/1055-9965.epi-16-0106 | PMID 27697780 Get It

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.
Cyclin A2 is an RNA binding protein that controls Mre11 mRNA translation
Jeganathan, Karthik B. , Limzerwala, Jazeel F. , Baker, Darren J. , Hamada, Masakazu , Nam, Hyun-Ja, Deursen, Willemijn H. van , Hamada, Naomi, Naylor, Ryan M. , Becker, Nicole A. , Davies, Brian A., Ree, Janine H. van, Mer, Georges , Maher, L. James, Katzmann, David J. , Deursen, Jan M. van , Kanakkanthara, Arun , van Deursen, Willemijn H, van Ree, Janine H, Shapiro, Virginia S, Hamada, Masakazu, Shapiro, Virginia Smith , Jeganathan, Karthik B , Baker, Darren J

Science | September 29, 2016 | Volume: 353 | Issue: 6307 | Pages: 1549-1552

10.1126/science.aaf7463 | PMID 27708105 Get It

Cyclin A2 activates the cyclin-dependent kinases Cdk1 and Cdk2 and is expressed at elevated levels from S phase until early mitosis. We found that mutant mice that cannot elevate cyclin A2 are chromosomally unstable and tumor-prone. Underlying the chromosomal instability is a failure to up-regulate the meiotic recombination 11 (Mre11) nuclease in S phase, which leads to impaired resolution of stalled replication forks, insufficient repair of double-stranded DNA breaks, and improper segregation of sister chromosomes. Unexpectedly, cyclin A2 controlled Mre11 abundance through a C-terminal RNA binding domain that selectively and directly binds Mre11 transcripts to mediate polysome loading and translation. These data reveal cyclin A2 as a mechanistically diverse regulator of DNA replication combining multifaceted kinase-dependent functions with a kinase-independent, RNA binding–dependent role that ensures adequate repair of common replication errors.
Considering sex as a biological variable in preclinical research
Miller, Leah, Marks, Cheryl L., Hurn, Patricia D., Woodruff, Teresa K. , Sohrabji, Farida , Schiebinger, Londa , Wetherington, Cora Lee, Makris, Susan L. , Arnold, Arthur P. , Einstein, Gillian , Miller, Virginia M. , Sandberg, Kathryn , Maier, Susan, Cornelison, Terri L., Becker, Jill B. , Chen, Wei‐Jung , McCarthy, Margaret M. , Clayton, Janine A. , Schiebinger, Londa

The FASEB Journal | September 28, 2016 | Volume: 31 | Issue: 1 | Pages: 29-34

10.1096/fj.201600781r | PMID 27682203 Get It

In June 2015, the National Institutes of Health (NIH) released a Guide notice (NOT‐OD‐15–102) that highlighted the expectation of the NIH that the possible role of sex as a biologic variable be factored into research design, analyses, and reporting of vertebrate animal and human studies. Anticipating these guidelines, the NIH Office of Research on Women's Health, in October 2014, convened key stakeholders to discuss methods and techniques for integrating sex as a biologic variable in preclinical research. The workshop focused on practical methods, experimental design, and approaches to statistical analyses in the use of both male and female animals, cells, and tissues in preclinical research. Workshop participants also considered gender as a modifier of biology. This article builds on the workshop and is meant as a guide to preclinical investigators as they consider methods and techniques for inclusion of both sexes in preclinical research and is not intended to prescribe exhaustive/specific approaches for compliance with the new NIH policy.—Miller, L. R., Marks, C., Becker, J.B., Hurn, P.D., Chen, W.‐J., Woodruff, T., McCarthy, M.M., Sohrabji, F., Schiebinger, L., Wetherington, C.L., Makris, S., Arnold, A. P., Einstein, G., Miller, V. M., Sandberg, K., Maier, S., Cornelison, T. L., Clayton, J. A. Considering sex as a biological variable in preclinical research. FASEB J. 31, 29–34 (2017) www.fasebj.org
Improved detection of myocardial damage in sarcoidosis using longitudinal strain in patients with preserved left ventricular ejection fraction
Murtagh, Gillian , Laffin, Luke J. , Patel, Kershaw V. , Bonham, Catherine A. , Yu, Zoe, Addetia, Karima , El‐Hangouche, Nadia , Maffesanti, Francesco, Mor‐Avi, Victor , Sweiss, Nadera , Beshai, John F., Lang, Roberto M. , Patel, Amit R. , Patel, Amit , Hogarth, D. Kyle

Echocardiography | September 28, 2016 | Volume: 33 | Issue: 9 | Pages: 1344-1352

10.1111/echo.13281 | PMID 27677642 Get It

BackgroundCardiac infiltration is an important cause of death in sarcoidosis. Transthoracic echocardiography (TTE) has limited sensitivity for the detection of cardiac sarcoidosis (CS). Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is used to diagnose CS but has limitations of cost and availability. We sought to determine whether TTE‐derived global longitudinal strain (GLS) may be used to identify individuals with CS, despite preserved left ventricular ejection fraction (LVEF), and whether abnormal GLS is associated with major cardiovascular events (MCE).MethodsWe studied 31 patients with biopsy‐proven extra‐cardiac sarcoidosis, LVEF>50% and LGE on CMR (CS+ group), and 31 patients without LGE (CS− group), matched by age, sex, and severity of lung disease. GLS was measured using vendor‐independent speckle tracking software. Parameters of left and right ventricular systolic and diastolic function were also studied. Receiver‐operating characteristic curves were used to identify GLS cutoff for CS detection, and Kaplan–Meier plots to determine the ability of GLS to predict MCE.ResultsLGE was associated with reduced GLS (−19.6±1.9% in CS− vs −14.7±2.4% in CS+, P<.01) and with reduced E/A ratio (1.1±0.3 vs 0.9±0.3, respectively, P =.01). No differences were noted in other TTE parameters. GLS magnitude inversely correlated with LGE burden (r=−.59). GLS cutoff of −17% showed sensitivity and specificity 94% for detecting CS. Patients who experienced MCE had worse GLS than those who did not (−13.4±0.9% vs −17.7±0.4%, P=.0003).ConclusionsCS is associated with significantly reduced GLS in the presence of preserved LVEF. GLS measurements may become part of the TTE study performed to screen for CS.
Effects of Selective Activation of the First Dorsal Interosseous and Opponens Pollicis on Thumb CMC Kinematics
Rosenstein, Benjamin E., Magnusson, Erik A. , Nuckley, David J., Adams, Julie E. , O’Brien, Virginia H.

HAND | September 26, 2016 | Volume: 11 | Issue: 1_suppl | Pages: 143S-143S

10.1177/1558944716660555jz Get It

Objective: Symptomatic thumb carpometacarpal (CMC) joint osteoarthritis is common. Early data support selective strengthening of the first dorsal interosseous (FDI) and opponens pollicis (OP) muscles for conservative management with improvement in pain and functional outcomes scores. There are limited biomechanical studies to support such strengthening programs. The purpose of these studies was to quantify the kinematics and joint kinetics at the thumb CMC joint during simulated pinch with selective activation of the FDI and OP muscles. The first study was completed with all ligamentous attachments of the CMC joint intact. The second study was completed with all CMC ligaments released. Hypothesis: Our hypothesis was that increased loads in the FDI and OP result in effects to the joint kinematics and reduce subluxation. Results: Our results from both studies show the OP and FDI act synergistically to center the first metacarpal on the trapezium and reduce subluxation during simulated pinch. The OP is the predominant corrective force but tends to overcorrect if unopposed. The FDI tempers the action of OP and contributes to improved CMC congruency. Conclusion: Our conclusion is these biomechanical data support selective thenar muscle re-education and strengthening programs for conservative management of thumb CMC joint osteoarthritis and pain.
Genetic variants in CETP increase risk of intracerebral hemorrhage
Anderson, Christopher D. , Falcone, Guido J. , Phuah, Chia‐Ling , Radmanesh, Farid , Brouwers, H. Bart , Battey, Thomas W.K., Biffi, Alessandro , Liu, Dajiang J. , Viswanathan, Anand , Greenberg, Steven M. , Brown, Devin L. , Worrall, Bradford B. , Silliman, Scott, Tirschwell, David , Flaherty, Matthew L. , Kraft, Peter , Jagiełła, Jeremiasz , Schmidt, Helena , Hansen, Björn M. , Jiménez-Conde, Jordi , Giralt‐Steinhauer, Eva , Elosúa, Roberto , Cuadrado‐Godia, Elisa , Soriano‐Tárraga, Carolina , Nieuwenhuizen, Koen M. van , Klijn, Catharina J.M. , Rannikmäe, Kristiina , Samarasekera, Neshika , Salman, Rustam Al‐Shahi , Sudlow, Catherine L., Deary, Ian J. , Morotti, Andrea , Pezzini, Alessandro , Pera, Joanna , Urbanik, Andrzej, Pichler, Alexander , Montaner, Joan , Fernández‐Cadenas, Israel , Delgado, Pilar , Słowik, Agnieszka , Schmidt, Reinhold, Kidwell, Chelsea S., Kittner, Steven J. , Waddy, Salina P., Langefeld, Carl D. , Kathiresan, Sekar , Woo, Daniel , Sudlow, Cathie , Lee, Chaeyoung , Meschia, James F , van Nieuwenhuizen, Koen M , Peloso, Gina M. , Ayres, Alison M. , Goldstein, Joshua Norkin , Selim, Magdy H. , Meschia, James F. , Enzinger, Christian , Norrving, Bo , Roquer, Jaume , Lindgren, Arne G. , Abecasis, Gonçalo R. , Willer, Cristen J , Rosand, Jonathan M. , Kraft, Peter , Montaner, Joan , Pezzini, Alessandro , Al-Shahi Salman, Rustam

Annals of Neurology | September 22, 2016 | Volume: 80 | Issue: 5 | Pages: 730-740

10.1002/ana.24780 | PMID 27717122 Get It

ObjectiveIn observational epidemiologic studies, higher plasma high‐density lipoprotein cholesterol (HDL‐C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL‐C; as such, medicines that inhibit CETP and raise HDL‐C are in clinical development. Here, we test the hypothesis that CETP DNA sequence variants associated with higher HDL‐C also increase risk for ICH.MethodsWe performed 2 candidate‐gene analyses of CETP. First, we tested individual CETP variants in a discovery cohort of 1,149 ICH cases and 1,238 controls from 3 studies, followed by replication in 1,625 cases and 1,845 controls from 5 studies. Second, we constructed a genetic risk score comprised of 7 independent variants at the CETP locus and tested this score for association with HDL‐C as well as ICH risk.ResultsTwelve variants within CETP demonstrated nominal association with ICH, with the strongest association at the rs173539 locus (odds ratio [OR] = 1.25, standard error [SE] = 0.06, p = 6.0 × 10−4) with no heterogeneity across studies (I2 = 0%). This association was replicated in patients of European ancestry (p = 0.03). A genetic score of CETP variants found to increase HDL‐C by ∼2.85mg/dl in the Global Lipids Genetics Consortium was strongly associated with ICH risk (OR = 1.86, SE = 0.13, p = 1.39 × 10−6).InterpretationGenetic variants in CETP associated with increased HDL‐C raise the risk of ICH. Given ongoing therapeutic development in CETP inhibition and other HDL‐raising strategies, further exploration of potential adverse cerebrovascular outcomes may be warranted. Ann Neurol 2016;80:730–740
Faculty Opinions recommendation of Microglia contact induces synapse formation in developing somatosensory cortex.
Wu, Long‐Jun , Eyo, Ukpong B

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature | September 21, 2016 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.3410/f.726673180.793523231 Get It

Germline miRNA DNA variants and the risk of colorectal cancer by subtype
Lindor, Noralane M. , DeRycke, Melissa S. , McDonnell, Shannon K. , Baheti, Saurabh , Fogarty, Zachary C. , Win, Aung Ko , Buchanan, Daniel D. , Gallinger, Steven , Jenkins, Mark A. , Goode, Ellen L. , Thibodeau, Stephen N. , Larson, Melissa C. , Potter, John D. , Clendenning, Mark , Newcomb, Polly A. , Casey, Graham , Marchand, Loı̈c Le , Hopper, John L. , Buchanan, Daniel D , Win, Aung K , Jenkins, Mark A , Fogarty, Zachary C , McDonnell, Shannon K

Genes, Chromosomes and Cancer | September 16, 2016 | Volume: 56 | Issue: 3 | Pages: 177-184

10.1002/gcc.22420 | PMID 27636879 Get It

MicroRNAs (miRNAs) regulate up to one‐third of all protein‐coding genes including genes relevant to cancer. Variants within miRNAs have been reported to be associated with prognosis, survival, response to chemotherapy across cancer types, in vitro parameters of cell growth, and altered risks for development of cancer. Five miRNA variants have been reported to be associated with risk for development of colorectal cancer (CRC). In this study, we evaluated germline genetic variation in 1,123 miRNAs in 899 individuals with CRCs categorized by clinical subtypes and in 204 controls. The role of common miRNA variation in CRC was investigated using single variant and miRNA‐level association tests. Twenty‐nine miRNAs and 30 variants exhibited some marginal association with CRC in at least one subtype of CRC. Previously reported associations were not confirmed (n = 4) or could not be evaluated (n = 1). The variants noted for the CRCs with deficient mismatch repair showed little overlap with the variants noted for CRCs with proficient mismatch repair, consistent with our evolving understanding of the distinct biology underlying these two groups. © 2016 The Authors Genes, Chromosomes & Cancer Published by Wiley Periodicals, Inc.
A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci
Rand, Kristin A. , Song, Chi , Déan, Eric, Serie, Daniel, Curtin, Karen , Sheng, Xin , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Tomasson, Michael H. , Pawlish, Karen , Peters, Edward , Stram, Alex , Edlund, Christopher K., Conti, David V. , Zimmerman, Todd M., Hwang, Amie E. , Huntsman, Scott , Graff, John, Kong, Yinfei , Pregja, Silvana, Berndt, Sonja I. , Blot, William J. , Carpten, John D. , Chu, Lisa W., Diver, W. Ryan , Stevens, Victoria L. , Lieber, Michael R. , Goodman, Phyllis J. , Hennis, Anselm , Hsing, Ann W. , Mehta, Jayesh, Klein, Eric A. , Leske, Cristina, Murphy, Adam B. , Nemesure, Barbara , Strom, Sara S., Vij, Ravi , Rybicki, Benjamin A. , Stanford, Janet L. , Signorello, Lisa B., Witte, John S. , Bhatti, Parveen , Hu, Jennifer J. , Nyante, Sarah J. , Birmann, Brenda M. , Atanackovic, Djordje , Glenn, Martha, Jones, Brandt, Tricot, Guido , Kumar, Shaji , Wolf, Jeffrey L. , Halverson, Sandra L. , Rothman, Nathaniel , Brooks‐Wilson, Angela , Kolonel, Laurence N. , Severson, Richard K., Janakiraman, Nalini, Terebelo, Howard R. , Brown, Elizabeth E. , Roos, Anneclaire J. De , Mohrbacher, Ann , Spinelli, John J. , Munshi, Nikhil C. , Levy, Joan, Zonder, Jeffrey A. , Orlowski, Robert Z. , Camp, Nicola J. , Vachon, Celine M. , Ziv, Elad , Hazelett, Dennis J. , Haiman, Christopher A. , Serie, Daniel J, Hu, Donglei , Ailawadhi, Sikander , Singhal, Seema , Bock, Cathryn Hufford , Berg, David Van Den , Nooka, Ajay K. , Casey, Graham , Kittles, Rick A. , Kolb, Suzanne , Neslund-Dudas, Christine M , Ambrosone, Christine B. , John, Esther M. , Bernstein, Leslie , Zheng, Wei , Olshan, Andrew F. , Ziegler, Regina G. , Bandera, Elisa V. , Ingles, Sue A. , Press, Michael F. , Cannon‐Albright, Lisa , Martin, Thomas G. , Rothman, Nathaniel , Rajkumar, S. Vincent , Chanock, Stephen Jacob , Slager, Susan L. , Colditz, Graham A. , Giles, Graham G. , Chiu, Brian C.‐H. , Anderson, Kenneth C. , Orlowski, Robert Z. , Lonial, Sagar , Vachon, Celine M. , Stram, Daniel O. , Cozen, Wendy , Hazelett, Dennis J , Brooks-Wilson, Angela R , Klein, Eric A , De Roos, Anneclaire J , Nyante, Sarah , Bhatti, Parveen , Birmann, Brenda M , Ziv, Elad , Conti, David V

Cancer Epidemiology, Biomarkers & Prevention | September 2, 2016 | Volume: 25 | Issue: 12 | Pages: 1609-1618

10.1158/1055-9965.epi-15-1193 | PMID 27587788 Get It

Abstract Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P &lt; 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry–European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4. Correlated variants in 7p15.3 clustered around an enhancer at the 3′ end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10−7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7. Conclusions: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609–18. ©2016 AACR.