Friday, October 17, 2014

Nature Reviews Genetics Contents November 2014 Volume 15 Number 11 pp 703-776

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Nature Reviews Genetics


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TABLE OF CONTENTS
 
November 2014 Volume 15 Number 11
Nature Reviews Genetics cover
Impact Factor 39.794 *
In this issue
Research Highlights
Reviews
Analysis


Also this month
Article series:
Study designs
Modes of transcriptional regulation
Applications of next-generation sequencing
 Featured article:
Evolutionary dynamics of coding and non-coding transcriptomes
Anamaria Necsulea & Henrik Kaessmann
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RESEARCH HIGHLIGHTSTop

Epigenetics: H3K27 methylation in transgenerational epigenetic memory
p703 | doi:10.1038/nrg3848
PDF


Evolution: A fishy tale of adaptive radiation
p704 | doi:10.1038/nrg3835
PDF


Non-coding RNA: A match made by crosslinking
p704 | doi:10.1038/nrg3842
PDF


RNA: Pseudouridylation of mRNAs — not so pseudo
p705 | doi:10.1038/nrg3834
PDF


Disease genetics: Searching large and small
p706 | doi:10.1038/nrg3840
PDF


Plant genetics: Following the early root of plastome degradation
p706 | doi:10.1038/nrg3843
PDF


Alternative splicing: Characterizing cell fate
p706 | doi:10.1038/nrg3847
PDF



IN BRIEF

Plant genomics: The wild side of soybeans | Human evolution: Who do you think you are? | Translation: To each their own — use of distinct tRNA pools | Development: Daddy issues — paternal contribution in plants | Alternative splicing: Retaining introns to sculpt gene expression | Cancer: Up and down for DNA methylation inhibitors | RNA: Dissecting circular RNA biogenesis
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REVIEWSTop
Article series: Study designs
Identifying and mitigating bias in next-generation sequencing methods for chromatin biology
Clifford A. Meyer & X. Shirley Liu
p709 | doi:10.1038/nrg3788
Next-generation sequencing methods can be used to examine features of chromatin biology, although the outputs of these methods can be subject to various potential biases. This Review describes the ways in which biases can be introduced to such experiments and outlines methods to detect and mitigate their effect.
Abstract | Full Text | PDF
Detecting epistasis in human complex traits
Wen-Hua Wei, Gibran Hemani & Chris S. Haley
p722 | doi:10.1038/nrg3747
Genome-wide association studies have been extensively used to uncover genetic variants that independently influence complex traits, including diseases. This Review describes advances in computational approaches to detect interactions (epistasis) between genetic variants underlying complex traits, including the different promises and pitfalls of the methods. Additionally, the authors summarize current empirical evidence on how pervasive epistasis is in complex traits and its wider biological implications.
Abstract | Full Text | PDF | Supplementary information
Article series: Modes of transcriptional regulation
Evolutionary dynamics of coding and non-coding transcriptomes
Anamaria Necsulea & Henrik Kaessmann
p734 | doi:10.1038/nrg3802
This Review provides insights obtained from comparative transcriptomic studies of mammalian species. The dynamics of gene expression evolution in coding and non-coding genes, as well as the regulatory basis of transcriptome evolution and future research avenues, are discussed.
Abstract | Full Text | PDF
Article series: Applications of next-generation sequencing
Sequencing pools of individuals [mdash] mining genome-wide polymorphism data without big funding
Christian Schlötterer, Raymond Tobler, Robert Kofler & Viola Nolte
p749 | doi:10.1038/nrg3803
This Review describes how whole-genome sequencing of pooled DNA from many individuals (Pool-seq) is an economical alternative to sequencing the genomes of individuals separately. The authors outline the strengths and pitfalls of Pool-seq, and provide example applications across diverse species and biological questions.
Abstract | Full Text | PDF
 
ANALYSISTop
The contribution of genetic variants to disease depends on the ruler
John S. Witte, Peter M. Visscher & Naomi R. Wray
p765 | doi:10.1038/nrg3786
There are various measures to quantify the contribution of genetic variants to disease risk, but differing terminology and assumptions obfuscate their use and interpretation. In this Analysis, the authors consider and contrast six commonly used measures that assess disease risk of individual variants, and provide numerical examples in breast cancer, Crohn's disease, rheumatoid arthritis and schizophrenia.
Abstract | Full Text | PDF | Supplementary information
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