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David Altshuler

Bio: David Altshuler is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 162, co-authored 345 publications receiving 201782 citations. Previous affiliations of David Altshuler include Vertex Pharmaceuticals & Massachusetts Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: Interventions that delay or prevent the onset of type 2 diabetes in overweight/obese subjects with dysglycemia who are at risk for diabetes do not reduce the development of diabetic retinopathy for up to 20 years.
Abstract: To determine whether interventions that slow or prevent the development of type 2 diabetes in those at risk reduce the subsequent prevalence of diabetic retinopathy. The Diabetes Prevention Program (DPP) randomized subjects at risk for developing type 2 diabetes because of overweight/obesity and dysglycemia to metformin (MET), intensive lifestyle intervention (ILS), or placebo (PLB) to assess the prevention of diabetes. During the DPP and DPP Outcome Study (DPPOS), we performed fundus photography over time on study participants, regardless of their diabetes status. Fundus photographs were graded using the Early Treatment Diabetic Retinopathy Study grading system, with diabetic retinopathy defined as typical lesions of diabetic retinopathy (microaneurysms, exudates, or hemorrhage, or worse) in either eye. Despite reduced progression to diabetes in the ILS and MET groups compared with PLB, there was no difference in the prevalence of diabetic retinopathy between treatment groups after 1, 5, 11, or 16 years of follow-up. No treatment group differences in retinopathy were found within prespecified subgroups (baseline age, sex, race/ethnicity, baseline BMI). In addition, there was no difference in the prevalence of diabetic retinopathy between those exposed to metformin and those not exposed to metformin, regardless of treatment group assignment. Interventions that delay or prevent the onset of type 2 diabetes in overweight/obese subjects with dysglycemia who are at risk for diabetes do not reduce the development of diabetic retinopathy for up to 20 years.

6 citations

Journal ArticleDOI
TL;DR: An estimated burden of a million independent tests genomewide in Europeans, and twice that number in Africans, is reported, and the testing burden to the required significance level is identified, with implications to staged design of association studies.
Abstract: Genomewide association studies are an exciting strategy in genetics, recently becoming feasible While pioneering studies are being underway, it is already clear that the analytic issue of determining the significance of results presents a challenge to the wide community of researchers Rather than each study engaging in independent evaluation, there is need in the community to have standards set for whole-genome significance We have therefore undertaken the task of developing such standards, based on data collected with collaborators in the International Haplotype Map Consortium We report an estimated burden of a million independent tests genomewide in Europeans, and twice that number in Africans We further identify the sensitivity of the testing burden to the required significance level, with implications to staged design of association studies

5 citations

Journal ArticleDOI
TL;DR: Ventriculoscopic surgery, with or without adjuvant treatments, can reduce early postoperative tumor volume and improve short-term functional status in cystic retrochiasmatic craniopharyngiomas with hypothalamic involvement; it should be considered a minimally invasive option in the multimodal treatment of craniophileomas.
Abstract: BACKGROUND Attempted gross-total resection for the management of cystic retrochiasmatic craniopharyngiomas can cause severe hypothalamic dysfunction and decrease overall survival. Ventriculoscopic surgery is a minimally invasive alternative; however, potential indications and technique have not been well defined. OBJECTIVE To present our indications and technique for the ventriculoscopic treatment of cystic retrochiasmatic craniopharyngiomas. METHODS We evaluated all patients with retrochiasmatic craniopharyngiomas for ventriculoscopic surgery. Indications and operative technique were developed to minimize operative morbidity, relieve mass effect, and optimize functional outcome. Cyst size and functional outcomes were statistically evaluated to determine radiographic and short-term clinical outcome. RESULTS Indications for ventriculoscopic surgery included (1) radiographic evidence of hypothalamic involvement and (2) major cystic component. Ten patients met indications, and mean follow-up was 2.5 ± 1.6 yr. The surgical technique included wide cyst fenestration at the foramen of Monro, and fenestration of inferior cyst wall/third ventriculostomy ("through-and-through" technique). Preoperative Karnofsky performance status was 70 ± 15 and was inversely correlated with preoperative cyst size (13 ± 13 cm3). A statistically significant reduction in cyst size was found on early postoperative imaging (2.1 ± 4.3 cm3). Seven patients received postoperative radiotherapy. Postoperative performance scores (81 ± 8.3) had improved; no patient suffered functional decline. Pre- and postoperative body mass indices were similar. No patient had short-term hypothalamic obesity. CONCLUSION Ventriculoscopic surgery, with or without adjuvant treatments, can reduce early postoperative tumor volume and improve short-term functional status in cystic retrochiasmatic craniopharyngiomas with hypothalamic involvement; it should be considered a minimally invasive option in the multimodal treatment of craniopharyngiomas. Further studies are needed to determine long-term efficacy.

5 citations

Journal ArticleDOI
Maria C. Costanzo, Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer, Clint Gilbert, Ryan P. Welch, Parul Kudtarkar, Quy Hoang, Andrew P. Boughton, Preeti Singh, Ying Sun, Marc Duby, Annie Moriondo, Trang Nguyen, Patrick Smadbeck, Benjamin Alexander, Mackenzie E Brandes, Mary Carmichael, Peter Dornbos, Todd Green, Kenneth C. Huellas-Bruskiewicz, Yue Ji, Alexandria Kluge, Aoife McMahon, Josep M. Mercader, Oliver Ruebenacker, Sebanti Sengupta, Dylan Spalding, Daniel Taliun, Philip Smith, Melissa K. Thomas, Beena Akolkar, M. Julia Brosnan, Andriy Cherkas, Audrey Y. Chu, Eric B. Fauman, Caroline S. Fox, Tania Nayak Kamphaus, Melissa R. Miller, Lynette Qu Nguyen, Afshin Parsa, Dermot F. Reilly, Hartmut Ruetten, David Wholley, Norann A. Zaghloul, Gonçalo R. Abecasis, David Altshuler, Thomas M. Keane, Mark I. McCarthy, Kyle J. Gaulton, Jose C. Florez, Michael Boehnke, Noël P. Burtt, Nicholette Allred, Jennifer E. Below, Richard N. Bergman, Joline W.J. Beulens, John Blangero, Krister Bokvist, Erwin P. Bottinger, Donald W. Bowden, Christopher Brown, Kenneth T. Bruskiewicz, Ines dos Santos Cebola, John C. Chambers, Yii-Der Ida Chen, Chris P. Clark, Melina Claussnitzer, Nancy J. Cox, Marcel den Hoed, Duc Tuan Dong, Ravindranath Duggirala, Josée Dupuis, Petra J. M. Elders, Jesse M. Engreitz, Jorge Ferrer, Jason Flannick, Paul Flicek, Matthew Flickinger, Timothy M. Frayling, Kelly A. Frazer, Anna L. Gloyn, Craig L. Hanis, Robert Hanson, Andrew T. Hattersley, Hae Kyung Im, Sidra Iqbal, Suzanne B.R. Jacobs, Tadeusz Jordan, Tania Nayak Kamphaus, Fredrik Karpe, Seung K. Kim, Kasper Lage, Leslie A. Lange, Michael Lazar, Donna E. Lehman, Ching-Ti Liu, Ruth J. F. Loos, Ronald C.W. Ma, Patrick MacDonald, Matthew T. Maurano, Gil McVean, James B. Meigs, Braxton D. Mitchell, Karen L. Mohlke, Samuel Morabito, Claire Morgan, Shannon E. Mullican, Sharvari Narendra, Maggie C.Y. Ng, Colin N. A. Palmer, Stephen C. J. Parker, Antonio Parrado, Aaron C. Pawlyk, Ewan R. Pearson, Andrew S. Plump, Michael A. Province, Thomas Quertermous, Susan Redline, Bing Ren, Stephen S. Rich, J. Brent Richards, Jerome I. Rotter, Rany M. Salem, Maike Sander, Michael Sanders, Dharambir K. Sanghera, Laura J. Scott, David Siedzik, Xueling Sim, Robert Sladek, Kerrin S. Small, Peter Stein, Heather M. Stringham, Katalin Susztak, Leen M 't Hart, Kent D. Taylor, Jennifer A. Todd, Miriam S. Udler, Benjamin F. Voight, Andre Wan, Kaan Yuksel 
TL;DR: The Type 2 Diabetes Knowledge Portal (T2DKP) as discussed by the authors is a public resource of genetic datasets and genomic annotations dedicated to type 2 diabetes and related traits, which can be used for access to complex disease genetic results.

5 citations


Cited by
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TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
Abstract: As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.

37,898 citations

Journal ArticleDOI
TL;DR: The Gene Set Enrichment Analysis (GSEA) method as discussed by the authors focuses on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation.
Abstract: Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

34,830 citations

Journal ArticleDOI
TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Abstract: Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.

26,280 citations

Journal ArticleDOI
Eric S. Lander1, Lauren Linton1, Bruce W. Birren1, Chad Nusbaum1  +245 moreInstitutions (29)
15 Feb 2001-Nature
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

22,269 citations

Journal ArticleDOI
TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Abstract: limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.

22,147 citations