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Author

D. S. Sivia

Bio: D. S. Sivia is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 2877 citations.

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26 Sep 1996

2,879 citations


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Journal ArticleDOI
TL;DR: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency.
Abstract: Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments. Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement. Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.

12,469 citations

Journal ArticleDOI
TL;DR: Baron and Kenny's procedure for determining if an independent variable affects a dependent variable through some mediator is so well known that it is used by authors and requested by reviewers almost reflexively.
Abstract: Baron and Kenny’s procedure for determining if an independent variable affects a dependent variable through some mediator is so well known that it is used by authors and requested by reviewers almost reflexively. Many research projects have been terminated early in a research program or later in the review process because the data did not conform to Baron and Kenny’s criteria, impeding theoretical development. While the technical literature has disputed some of Baron and Kenny’s tests, this literature has not diffused to practicing researchers. We present a nontechnical summary of the flaws in the Baron and Kenny logic, some of which have not been previously noted. We provide a decision tree and a step-by-step procedure for testing mediation, classifying its type, and interpreting the implications of findings for theory building and future research.

8,032 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the cell capable of initiating human AML in non-obese diabetic mice with severe combined immunodeficiency disease (NOD/SCID mice) — termed the SCID leukemia-initiating cell, or SL-IC — possesses the differentiate and proliferative capacities and the potential for self-renewal expected of a leukemic stem cell.
Abstract: On the subject of acute myeloid leukemia (AML), there is little consensus about the target cell within the hematopoietic stem cell hierarchy that is susceptible to leukemic transformation, or about the mechanism that underlies the phenotypic, genotypic and clinical heterogeneity. Here we demonstrate that the cell capable of initiating human AML in non-obese diabetic mice with severe combined immunodeficiency disease (NOD/SCID mice) - termed the SCID leukemia-initiating cell, or SL-IC - possesses the differentiative and proliferative capacities and the potential for self-renewal expected of a leukemic stem cell. The SL-ICs from all subtypes of AML analyzed, regardless of the heterogeneity in maturation characteristics of the leukemic blasts, were exclusively CD34++ CD38-, similar to the cell-surface phenotype of normal SCID-repopulating cells, suggesting that normal primitive cells, rather than committed progenitor cells, are the target for leukemic transformation. The SL-ICs were able to differentiate in vivo into leukemic blasts, indicating that the leukemic clone is organized as a hierarchy.

6,709 citations

Journal ArticleDOI
TL;DR: The Posttraumatic Growth Inventory as mentioned in this paper is an instrument for assessing positive outcomes reported by persons who have experienced traumatic events, which includes factors of New Possibilities, Relating to Others, Personal Strength, Spiritual Change, and Appreciation of Life.
Abstract: The development of the Posttraumatic Growth Inventory, an instrument for assessing positive outcomes reported by persons who have experienced traumatic events, is described. This 21-item scale includes factors of New Possibilities, Relating to Others, Personal Strength, Spiritual Change, and Appreciation of Life. Women tend to report more benefits than do men, and persons who have experienced traumatic events report more positive change than do persons who have not experienced extraordinary events. The Posttraumatic Growth Inventory is modestly related to optimism and extraversion. The scale appears to have utility in determining how successful individuals, coping with the aftermath of trauma, are in reconstructing or strengthening their perceptions of self, others, and the meaning of events.

3,946 citations

Journal ArticleDOI
Denise Harold1, Richard Abraham2, Paul Hollingworth2, Rebecca Sims2, Amy Gerrish2, Marian L. Hamshere3, Jaspreet Singh Pahwa2, Valentina Moskvina2, Kimberley Dowzell2, Amy L. Williams2, Nicola L. Jones2, Charlene Thomas2, Alexandra Stretton2, Angharad R. Morgan2, Simon Lovestone4, John Powell5, Petroula Proitsi5, Michelle K. Lupton5, Carol Brayne6, David C. Rubinsztein7, Michael Gill6, Brian A. Lawlor6, Aoibhinn Lynch6, Kevin Morgan8, Kristelle Brown8, Peter Passmore9, David Craig9, Bernadette McGuinness9, Stephen Todd9, Clive Holmes10, David M. A. Mann11, A. David Smith12, Seth Love3, Patrick G. Kehoe3, John Hardy, Simon Mead13, Nick C. Fox13, Martin N. Rossor13, John Collinge13, Wolfgang Maier14, Frank Jessen14, Britta Schürmann14, Hendrik van den Bussche15, Isabella Heuser16, Johannes Kornhuber17, Jens Wiltfang18, Martin Dichgans19, Lutz Frölich20, Harald Hampel19, Harald Hampel21, Michael Hüll22, Dan Rujescu19, Alison Goate23, John S. K. Kauwe24, Carlos Cruchaga23, Petra Nowotny23, John C. Morris23, Kevin Mayo23, Kristel Sleegers25, Karolien Bettens25, Sebastiaan Engelborghs25, Peter Paul De Deyn25, Christine Van Broeckhoven25, Gill Livingston26, Nicholas Bass26, Hugh Gurling26, Andrew McQuillin26, Rhian Gwilliam27, Panagiotis Deloukas27, Ammar Al-Chalabi28, Christopher Shaw28, Magda Tsolaki29, Andrew B. Singleton30, Rita Guerreiro30, Thomas W. Mühleisen14, Markus M. Nöthen14, Susanne Moebus18, Karl-Heinz Jöckel18, Norman Klopp, H-Erich Wichmann19, Minerva M. Carrasquillo31, V. Shane Pankratz31, Steven G. Younkin31, Peter Holmans2, Michael Conlon O'Donovan2, Michael John Owen2, Julie Williams2 
TL;DR: A two-stage genome-wide association study of Alzheimer's disease involving over 16,000 individuals, the most powerful AD GWAS to date, produced compelling evidence for association with Alzheimer's Disease in the combined dataset.
Abstract: We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 10-157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 10-9) and 5' to the PICALM gene (rs3851179, P = 1.9 10-8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer's disease in the combined dataset (rs11136000, P = 8.5 10-10, odds ratio = 0.86; rs3851179, P = 1.3 10-9, odds ratio = 0.86).

2,956 citations