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Institution

Fred Hutchinson Cancer Research Center

NonprofitCape Town, South Africa
About: Fred Hutchinson Cancer Research Center is a nonprofit organization based out in Cape Town, South Africa. It is known for research contribution in the topics: Population & Transplantation. The organization has 12322 authors who have published 30954 publications receiving 2288772 citations. The organization is also known as: Fred Hutch & The Hutch.


Papers
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Journal ArticleDOI
Thomas W. Winkler1, Anne E. Justice2, Mariaelisa Graff2, Llilda Barata3  +435 moreInstitutions (106)
TL;DR: In this paper, the authors performed meta-analyses of 114 studies with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.

584 citations

Journal ArticleDOI
15 Oct 1990-Blood
TL;DR: The times to treatment failure and the proportions of patients in various response categories were similar for primary and secondary treatment, suggesting that the potential efficacy of new immunosuppressive agents for treatment of acute GVHD can be assessed meaningfully in patients who have not responded adequately to initial therapy.

584 citations

Journal ArticleDOI
TL;DR: It is shown that markers of classical activation are absent on ATMs from obese humans but are readily detectable on airway macrophages of patients with cystic fibrosis, a disease associated with chronic bacterial infection, and PPARγ and p62/SQSTM1 are identified as two key proteins that promote lipid metabolism and limit inflammation in metabolically activated macrophage

582 citations

Journal ArticleDOI
Laufey T. Amundadottir1, Peter Kraft2, Rachael Z. Stolzenberg-Solomon1, Charles S. Fuchs2, Gloria M. Petersen3, Alan A. Arslan4, H. Bas Bueno-de-Mesquita5, Myron D. Gross6, Kathy J. Helzlsouer7, Eric J. Jacobs8, Andrea Z. LaCroix9, Wei Zheng10, Demetrius Albanes1, William R. Bamlet3, Christine D. Berg1, Franco Berrino, Sheila Bingham11, Julie E. Buring2, Paige M. Bracci12, Federico Canzian13, Françoise Clavel-Chapelon14, Sandra Clipp15, Michelle Cotterchio16, Mariza de Andrade3, Eric J. Duell17, John W. Fox18, Steven Gallinger16, J. Michael Gaziano2, J. Michael Gaziano19, Edward Giovannucci2, Michael Goggins15, Carlos A. González, Göran Hallmans20, Susan E. Hankinson2, Manal Hassan21, Elizabeth A. Holly12, David J. Hunter2, Amy K. Hutchinson22, Amy K. Hutchinson1, Rebecca D. Jackson23, Kevin B. Jacobs1, Kevin B. Jacobs22, Mazda Jenab17, Rudolf Kaaks13, Alison P. Klein15, Charles Kooperberg9, Robert C. Kurtz24, Donghui Li21, Shannon M. Lynch1, Margaret T. Mandelson25, Margaret T. Mandelson9, Robert R. McWilliams3, Julie B. Mendelsohn1, Dominique S. Michaud2, Dominique S. Michaud26, Sara H. Olson24, Kim Overvad27, Alpa V. Patel8, Petra H.M. Peeters5, Petra H.M. Peeters26, Aleksandar Rajkovic28, Elio Riboli26, Harvey A. Risch29, Xiao-Ou Shu10, Gilles Thomas1, Geoffrey S. Tobias1, Dimitrios Trichopoulos30, Dimitrios Trichopoulos2, Stephen K. Van Den Eeden31, Jarmo Virtamo32, Jean Wactawski-Wende33, Brian M. Wolpin2, Herbert Yu29, Kai Yu1, Anne Zeleniuch-Jacquotte4, Stephen J. Chanock1, Patricia Hartge1, Robert N. Hoover1 
TL;DR: In this paper, a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide, was conducted, where 558,542 SNPs were genotyped in 1,896 individuals and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study.
Abstract: We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.

582 citations

Journal ArticleDOI
TL;DR: Overall, approximately 1 in every 1300 screening mammography examinations leads to a diagnosis of DCIS, and the clinical significance of screen-detected DCIS needs further investigation.
Abstract: Background: With the large number of women having mammography—an estimated 28.4 million U.S. women aged 40 years and older in 1998—the percentage of cancers detected as ductal carcinoma in situ (DCIS), which has an uncertain prognosis, has increased. We pooled data from seven regional mammography registries to determine the percentage of mammographically detected cancers that are DCIS and the rate of DCIS per 1000 mammograms. Methods: We analyzed data on 653 833 mammograms from 540 738 women between 40 and 84 years of age who underwent screening mammography at facilities participating in the National Cancer Institute’s Breast Cancer Surveillance Consortium (BCSC) throughout 1996 and 1997. Mammography results were linked to population-based cancer and pathology registries. We calculated the percentage of screen-detected breast cancers that were DCIS, the rate of screen-detected DCIS per 1000 mammograms by age and by previous mammography status, and the sensitivity of screening mammography. Statistical tests were two-sided. Results: A total of 3266 cases of breast cancer were identified, 591 DCIS and 2675 invasive breast cancer. The percentage of screendetected breast cancers that were DCIS decreased with age (from 28.2% [95% confidence interval (CI) = 23.9% to 32.5%] for women aged 40–49 years to 16.0% [95% CI = 13.3% to 18.7%] for women aged 70–84 years). However, the rate of screen-detected DCIS cases per 1000 mammograms increased with age (from 0.56 [95% CI = 0.41 to 0.70] for women aged 40–49 years to 1.07 [95% CI = 0.87 to 1.27] for women aged 70–84 years). Sensitivity of screening mammography in all age groups combined was higher for detecting DCIS (86.0% [95% CI = 83.2% to 88.8%]) than it was for detecting invasive breast cancer (75.1% [95% CI = 73.5% to 76.8%]). Conclusions: Overall, approximately 1 in every 1300 screening mammography examinations leads to a diagnosis of DCIS. Given uncertainty about the natural history of DCIS, the clinical significance of screen-detected DCIS needs further investigation. [J Natl Cancer Inst 2002;94: 1546–54]

581 citations


Authors

Showing all 12368 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Meir J. Stampfer2771414283776
JoAnn E. Manson2701819258509
David J. Hunter2131836207050
Peer Bork206697245427
Eric Boerwinkle1831321170971
Ruedi Aebersold182879141881
Bruce M. Psaty1811205138244
Aaron R. Folsom1811118134044
David Baker1731226109377
Frederick W. Alt17157795573
Lily Yeh Jan16246773655
Yuh Nung Jan16246074818
Charles N. Serhan15872884810
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202275
20211,981
20201,995
20191,685
20181,571