{"title":"Correction to “Abstracts”","authors":"","doi":"10.1002/gepi.22543","DOIUrl":null,"url":null,"abstract":"<p>(2023), Abstracts. Genetic Epidemiology, 47: 520–581. https://doi.org/10.1002/gepi.22539</p><p>In the originally published Abstracts, there were authors missing for “Two-sample Mendelian Randomization Study of Circulating Metabolites and Prostate Cancer Risk in Hispanic Populations” (abstract 49). The correct authors and affiliations appear below and have been updated on the online version of the abstracts.</p><p>Harriett Fuller<sup>1</sup>, Rebecca Rohde<sup>2</sup>, Heather Highland<sup>2</sup>, Jiayi Shen<sup>3</sup>, Bing Yu<sup>4</sup>, Eric Boerwinkle<sup>4</sup>, Megan Grove<sup>4</sup>, Kari E. North<sup>2</sup>, David V. Conti<sup>3</sup>, Christopher A. Haiman<sup>3</sup>, Kristin Young<sup>2</sup>, Burcu F. Darst<sup>1</sup></p><p><sup>1</sup>Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA</p><p><sup>2</sup>Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</p><p><sup>3</sup>Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, California, USA</p><p><sup>4</sup>School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA</p><p>We apologize for this error.</p>","PeriodicalId":12710,"journal":{"name":"Genetic Epidemiology","volume":"47 8","pages":"642"},"PeriodicalIF":1.7000,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gepi.22543","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gepi.22543","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
In the originally published Abstracts, there were authors missing for “Two-sample Mendelian Randomization Study of Circulating Metabolites and Prostate Cancer Risk in Hispanic Populations” (abstract 49). The correct authors and affiliations appear below and have been updated on the online version of the abstracts.
Harriett Fuller1, Rebecca Rohde2, Heather Highland2, Jiayi Shen3, Bing Yu4, Eric Boerwinkle4, Megan Grove4, Kari E. North2, David V. Conti3, Christopher A. Haiman3, Kristin Young2, Burcu F. Darst1
1Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
3Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, California, USA
4School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
(2023),摘要。中华流行病学杂志,47(2):521 - 521。https://doi.org/10.1002/gepi.22539In在最初发表的摘要中,“西班牙裔人群循环代谢物和前列腺癌风险的两样本孟德尔随机化研究”(摘要49)缺少作者。正确的作者和所属机构如下所示,并已在摘要的在线版本上更新。Harriett Fuller1, Rebecca Rohde2, Heather Highland2, shenjiayi 3, yubing 4, Eric Boerwinkle4, Megan Grove4, Kari E. North2, David V. Conti3, Christopher A. Haiman3, Kristin Young2, Burcu F. darst11公共卫生科学部,Fred Hutchinson癌症中心,西雅图,华盛顿州,usa2,北卡罗来纳大学教堂山分校,教堂山,北卡罗来纳州,usa2人口与公共卫生科学部,遗传流行病学中心,南加州大学凯克医学院、美国公共卫生学院、德克萨斯大学休斯敦健康科学中心、美国德克萨斯州休斯敦我们为这个错误道歉。
期刊介绍:
Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations.
Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.