STrengthening the REporting of Genetic Association Studies (STREGA): An Extension of the STROBE Statement

被引:103
作者
Little, Julian [1 ]
Higgins, Julian P. T.
Ioannidis, John P. A.
Moher, David
Gagnon, France
von Elm, Erik
Khoury, Muin J.
Cohen, Barbara
Davey-Smith, George
Grimshaw, Jeremy
Scheet, Paul
Gwinn, Marta
Williamson, Robin E.
Zou, Guang Yong
Hutchings, Kim
Johnson, Candice Y.
Tait, Valerie
Wiens, Miriam
Golding, Jean
van Duijn, Cornelia
McLaughlin, John
Paterson, Andrew
Wells, George
Fortier, Isabel
Freedman, Matthew
Zecevic, Maja
King, Richard
Infante-Rivard, Claire
Stewart, Alex F. R.
Birkett, Nick
机构
[1] Univ Ottawa, Ottawa, ON K1H 8M5, Canada
基金
加拿大健康研究院;
关键词
GENOME-WIDE ASSOCIATION; HARDY-WEINBERG EQUILIBRIUM; SINGLE-NUCLEOTIDE POLYMORPHISM; POPULATION STRATIFICATION; GENOTYPING ERRORS; PROSTATE-CANCER; LARGE-SCALE; DISEASE ASSOCIATIONS; EMPIRICAL-EVALUATION; STATISTICAL-METHOD;
D O I
10.7326/0003-4819-150-3-200902030-00011
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information into the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and issues of data volume that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.
引用
收藏
页码:206 / +
页数:14
相关论文
共 50 条
  • [41] Chemometric regression techniques as emerging, powerful tools in genetic association studies
    Dumancas, Gerard G.
    Ramasahayam, Sindhura
    Bello, Ghalib
    Hughes, Jeff
    Kramer, Richard
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2015, 74 : 79 - 88
  • [42] Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse
    Nakaoka, Hirofumi
    Inoue, Ituro
    JOURNAL OF HUMAN GENETICS, 2009, 54 (11) : 615 - 623
  • [43] Likelihood-based inference on haplotype effects in genetic association studies
    Lin, DY
    Zeng, D
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (473) : 89 - 104
  • [44] Assessing Genuine Parents-Offspring Trios for Genetic Association Studies
    Teo, Yik Y.
    Fry, Andrew E.
    Sanjoaquin, Miguel A.
    Pederson, Bonnie
    Small, Kerrin S.
    Rockett, Kirk A.
    Kwiatkowski, Dominic P.
    Clark, Taane G.
    HUMAN HEREDITY, 2009, 67 (01) : 26 - 37
  • [45] Robust tests for matched case-control genetic association studies
    Zang, Yong
    Fung, Wing Kam
    BMC GENETICS, 2010, 11
  • [46] Meta-Analysis of Family-Based and Case-Control Genetic Association Studies that Use the Same Cases
    Bagos, Pantelis G.
    Dimou, Niki L.
    Liakopoulos, Theodore D.
    Nikolopoulos, Georgios K.
    STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2011, 10 (01)
  • [47] Human population structure and genetic association studies
    Ziv, E
    Burchard, EG
    PHARMACOGENOMICS, 2003, 4 (04) : 431 - 441
  • [48] A perspective on interaction effects in genetic association studies
    Aschard, Hugues
    GENETIC EPIDEMIOLOGY, 2016, 40 (08) : 678 - 688
  • [49] Probabilistic graphical models for genetic association studies
    Mourad, Raphael
    Sinoquet, Christine
    Leray, Philippe
    BRIEFINGS IN BIOINFORMATICS, 2012, 13 (01) : 20 - 33
  • [50] Using population isolates in genetic association studies
    Hatzikotoulas, Konstantinos
    Gilly, Arthur
    Zeggini, Eleftheria
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2014, 13 (05) : 371 - 377