Trends in Genetics (TRENDS GENET )

Publisher: Elsevier

Description

Now the highest-cited journal in Genetics. (ISI/SCI Journal Citation Reports 11.313.1998). Multi-faceted and highly-cited, from developmental biology to genomics. Each monthly issue contains concise, lively and up-to-date Reviews as well as a section for Comment on the latest developments, a journal monitoring feature, Genetwork (a column about Internet resources), Meeting Reports, and Book, Software and CD-ROM reviews, and new in 98 - genetics and society. Most articles are commissioned, and all review articles are peer-reviewed. Trends in Genetics' prestigious Editorial Board attests to the journal's established reputation as essential reading for all those interested in the molecular themes of genetics, differentiation and development. Trends in Genetics' readers use the journal to keep up with the latest developments in both their own and related fields, and as a valuable resource for teaching.

Impact factor 11.60

  • Hide impact factor history
     
    Impact factor
  • 5-year impact
    9.33
  • Cited half-life
    8.30
  • Immediacy index
    2.10
  • Eigenfactor
    0.03
  • Article influence
    4.75
  • Website
    Trends in Genetics website
  • Other titles
    Trends in genetics, Genetics, TIG, Trends in biochemical sciences., Trends in cell biology
  • ISSN
    0168-9525
  • OCLC
    11747206
  • Material type
    Periodical, Internet resource
  • Document type
    Journal / Magazine / Newspaper, Internet Resource

Publisher details

Elsevier

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Pre-print allowed on any website or open access repository
    • Voluntary deposit by author of authors post-print allowed on authors' personal website, arXiv.org or institutions open scholarly website including Institutional Repository, without embargo, where there is not a policy or mandate
    • Deposit due to Funding Body, Institutional and Governmental policy or mandate only allowed where separate agreement between repository and the publisher exists.
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months .
    • Set statement to accompany deposit
    • Published source must be acknowledged
    • Must link to journal home page or articles' DOI
    • Publisher's version/PDF cannot be used
    • Articles in some journals can be made Open Access on payment of additional charge
    • NIH Authors articles will be submitted to PubMed Central after 12 months
    • Publisher last contacted on 18/10/2013
  • Classification
    ​ green

Publications in this journal

  • Trends in Genetics 01/2015;
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    ABSTRACT: More human death and disease is caused by malaria parasites than by all other eukaryotic pathogens combined. As early as the sequencing of the first human genome, malaria parasite genomics was prioritized to fuel the discovery of vaccine candidate antigens. This stimulated increased research on malaria, generating new understanding of the cellular and molecular mechanisms of infection and immunity. This review of recent developments illustrates how new approaches in parasite genomics, and increasingly large amounts of data from population studies, are helping to identify antigens that are promising lead targets. Although these results have been encouraging, effective discovery and characterization need to be coupled with more innovation and funding to translate findings into newly designed vaccine products for clinical trials. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 01/2015;
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    ABSTRACT: Human Heredity and Health in Africa (H3Africa) research seeks to promote fair collaboration between scientists in Africa and those from elsewhere. Here, we outline how concerns over inequality and exploitation led to a policy framework that places a firm focus on African leadership and capacity building as guiding principles for African genomics research. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
    Trends in Genetics 01/2015; 11.
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    ABSTRACT: Science is defined in part by an honest exposition of the uncertainties that arise in measurements and propagate through calculations and inferences, so that the reliabilities of its conclusions are made apparent. The recent rapid development of high-throughput DNA sequencing technologies has dramatically increased the number of measurements made at the biochemical and molecular level. These data come from many different DNA-sequencing technologies, each with their own platform-specific errors and biases, which vary widely. Several statistical studies have tried to measure error rates for basic determinations, but there are no general schemes to project these uncertainties so as to assess the surety of the conclusions drawn about genetic, epigenetic, and more general biological questions. We review here the state of uncertainty quantification in DNA sequencing applications, describe sources of error, and propose methods that can be used for accounting and propagating these errors and their uncertainties through subsequent calculations. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 01/2015;
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    ABSTRACT: Functional information about the large majority of the genes is still lacking in the classical eukaryotic model species Drosophila melanogaster, Caenorhabditis elegans, and Mus musculus. Because many of these genes are likely to be important in natural settings, considering explicit ecological information should increase our knowledge of gene function. Using C. elegans as an example, we discuss the importance of biotic factors as a driving force in shaping the composition and structure of the nematode genome. We highlight examples for which consideration of ecological information and natural variation have been key to the identification of novel, unexpected gene functions, and use these examples to define future research avenues for the classical genetic model taxa. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 01/2015;
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    ABSTRACT: More than half a century ago, Alan Turing postulated that pigment patterns may arise from a mechanism that could be mathematically modeled based on the diffusion of two substances that interact with each other. Over the past 15 years, the molecular and genetic tools to verify this prediction have become available. Here, we review experimental studies aimed at identifying the mechanism underlying pigment pattern formation in zebrafish. Extensive molecular genetic studies in this model organism have revealed the interactions between the pigment cells that are responsible for the patterns. The mechanism discovered is substantially different from that predicted by the mathematical model, but it retains the property of 'local activation and long-range inhibition', a necessary condition for Turing pattern formation. Although some of the molecular details of pattern formation remain to be elucidated, current evidence confirms that the underlying mechanism is mathematically equivalent to the Turing mechanism. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 12/2014;
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    ABSTRACT: Genetic research on human biospecimens is increasingly common. However, debate continues over the level of risk that this research poses to sample donors. Some argue that genetic research on biospecimens poses minimal risk; others argue that it poses greater than minimal risk and therefore needs additional requirements and limitations. This debate raises concern that some donors are not receiving appropriate protection or, conversely, that valuable research is being subject to unnecessary requirements and limitations. The present paper attempts to resolve this debate using the widely-endorsed 'risks of daily life' standard. The three extant versions of this standard all suggest that, with proper measures in place to protect confidentiality, most genetic research on human biospecimens poses minimal risk to donors. Published by Elsevier Ltd.
    Trends in Genetics 12/2014;
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    ABSTRACT: Over the past decade, tremendous progress in high-throughput small molecule-screening methods has facilitated the rapid expansion of phenotype-based data. Parallel advances in genomic characterization methods have complemented these efforts by providing a growing list of annotated cell line features. Together, these developments have paved the way for feature-based identification of novel, exploitable cellular dependencies, subsequently expanding our therapeutic toolkit in cancer and other diseases. Here, we provide an overview of the evolution of phenotypic small-molecule profiling and discuss the most significant and recent profiling and analytical efforts, their impact on the field, and their clinical ramifications. We additionally provide a perspective for future developments in phenotypic profiling efforts guided by genomic science. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 12/2014;
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    ABSTRACT: Although numerous approaches have been pursued to understand the function of human genes, Mendelian genetics has by far provided the most compelling and medically actionable dataset. Biallelic loss-of-function (LOF) mutations are observed in the majority of autosomal recessive Mendelian disorders, representing natural human knockouts and offering a unique opportunity to study the physiological and developmental context of these genes. The restriction of such context to 'disease' states is artificial, however, and the recent ability to survey entire human genomes for biallelic LOF mutations has revealed a surprising landscape of knockout events in 'healthy' individuals, sparking interest in their role in phenotypic diversity beyond disease causation. As I discuss in this review, the potentially wide implications of human knockout research warrant increased investment and multidisciplinary collaborations to overcome existing challenges and reap its benefits. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 12/2014;
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    ABSTRACT: Despite scientific evidence to the contrary, cultural notions that incorrectly aggrandize genetic differences between ethnicities persist. New work on the genetic makeup of Europeans now shows even more definitively how false those notions are. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 11/2014; 30(12).
  • Trends in Genetics 11/2014; 30(12).
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    ABSTRACT: Cervical cancer has a heritable genetic component. A large number of genetic associations with cervical cancer have been reported in hypothesis-driven candidate gene studies, but many of these results are either inconsistent or have failed to be independently replicated. Genome-wide association studies (GWAS) have identified additional susceptibility loci previously not implicated in cervical cancer development, highlighting the power of genome-wide unbiased association analyses. Post-GWAS analyses including pathway-based analysis and functional characterization of associated variants have provided new insights into the pathogenesis of cervical cancer. In this review we summarize findings from candidate gene association studies, GWAS, and post-GWAS analyses of cervical cancer. We also discuss gaps in our understanding, possible clinical implications of the findings, and lessons for studies of other complex diseases. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 11/2014;
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    ABSTRACT: Gene-set analysis (GSA) ('enrichment') is a popular approach for the interpretation of genome-wide association studies (GWASs). GSA is most commonly applied to the analysis of transcriptomes, but from the outset it has been considered useful for any study that provides rankings or 'hit lists' of genes. The recent review by Mooney et al.[1] is a valuable resource for geneticists wishing to apply GSA to the output of GWASs. Here we describe some additional points of practical importance if the methods are to be applied and interpreted soundly. Copyright © 2014 Elsevier Ltd. All rights reserved.
    Trends in Genetics 11/2014; 30(12).
  • Trends in Genetics 11/2014;
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    ABSTRACT: Micronutrients are required in small proportions in a diet to carry out key metabolic roles for biomass and energy production. Humans receive micronutrients either directly from their diet or from gut microbiota that metabolize other nutrients. The nematode Caenorhabditis elegans and its bacterial diet provide a relatively simple and genetically tractable model to study both direct and microbe-mediated effects of micronutrients. Recently, this model has been used to gain insight into the relationship between micronutrients, physiology, and metabolism. In particular, two B-type vitamins, vitamin B12 and folate, have been studied in detail. Here we review how C. elegans and its bacterial diet provide a powerful interspecies systems biology model that facilitates the precise delineation of micronutrient effects and the mechanisms involved.
    Trends in Genetics 11/2014;
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    ABSTRACT: For most complex traits we have a poor understanding of the positions, phenotypic effects, and population frequencies of the underlying genetic variants contributing to their variation. Recently, several groups have developed multi-parent advanced intercross mapping panels in different model organisms in an attempt to improve our ability to characterize causative genetic variants. These panels are powerful and are particularly well suited to the dissection of phenotypic variation generated by rare alleles and loci segregating multiple functional alleles. We describe studies using one such panel, the Drosophila Synthetic Population Resource (DSPR), and the implications for our understanding of the genetic basis of complex traits. In particular, we note that many loci of large effect appear to be multiallelic. If multiallelism is a general rule, analytical approaches designed to identify multiallelic variants should be a priority for both genome-wide association studies (GWASs) and multi-parental panels.
    Trends in Genetics 11/2014;