Literature DB >> 12044348

Regional similarities in polymorphism in the human genome extend over many megabases.

Nick G C Smith1, Martin J Lercher.   

Abstract

The human genome exhibits extensive regional variation both in base composition and in the synonymous and nonsynonymous substitution rates of protein-coding genes. If such regional variation is due to variation in mutation rates, then levels of polymorphism should also vary across the human genome. Building on recent advances in mapping the human genome, we demonstrate regional variation in single nucleotide polymorphism density extending over many megabases. The range of local similarity in polymorphism shown by our genome-wide study is similar to the range of local similarity in base composition, and occurs over much longer distances than the variation in polymorphism revealed by studies of linkage disequilibrium.

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Year:  2002        PMID: 12044348     DOI: 10.1016/S0168-9525(02)02659-8

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  8 in total

1.  Global haplotype diversity in the human insulin gene region.

Authors:  John D H Stead; Matthew E Hurles; Alec J Jeffreys
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

2.  Structural divergence of chromosomal segments that arose from successive duplication events in the Arabidopsis genome.

Authors:  Piotr A Ziolkowski; Guillaume Blanc; Jan Sadowski
Journal:  Nucleic Acids Res       Date:  2003-02-15       Impact factor: 16.971

3.  Genomic regionality in rates of evolution is not explained by clustering of genes of comparable expression profile.

Authors:  Martin J Lercher; Jean-Vincent Chamary; Laurence D Hurst
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

4.  Multiplex padlock targeted sequencing reveals human hypermutable CpG variations.

Authors:  Jin Billy Li; Yuan Gao; John Aach; Kun Zhang; Gregory V Kryukov; Bin Xie; Annika Ahlford; Jung-Ki Yoon; Abraham M Rosenbaum; Alexander Wait Zaranek; Emily LeProust; Shamil R Sunyaev; George M Church
Journal:  Genome Res       Date:  2009-06-12       Impact factor: 9.043

5.  The influence of genomic context on mutation patterns in the human genome inferred from rare variants.

Authors:  Valerie M Schaibley; Matthew Zawistowski; Daniel Wegmann; Margaret G Ehm; Matthew R Nelson; Pamela L St Jean; Gonçalo R Abecasis; John Novembre; Sebastian Zöllner; Jun Z Li
Journal:  Genome Res       Date:  2013-08-29       Impact factor: 9.043

6.  Mutation rate analysis via parent-progeny sequencing of the perennial peach. I. A low rate in woody perennials and a higher mutagenicity in hybrids.

Authors:  Zhengqing Xie; Long Wang; Lirong Wang; Zhiqiang Wang; Zhenhua Lu; Dacheng Tian; Sihai Yang; Laurence D Hurst
Journal:  Proc Biol Sci       Date:  2016-10-26       Impact factor: 5.349

7.  Direct Determination of the Mutation Rate in the Bumblebee Reveals Evidence for Weak Recombination-Associated Mutation and an Approximate Rate Constancy in Insects.

Authors:  Haoxuan Liu; Yanxiao Jia; Xiaoguang Sun; Dacheng Tian; Laurence D Hurst; Sihai Yang
Journal:  Mol Biol Evol       Date:  2016-10-20       Impact factor: 16.240

8.  Genome-Wide Analysis of Genetic Variations and the Detection of Rich Variants of NBS-LRR Encoding Genes in Common Wild Rice Lines.

Authors:  Hang Yu; Muhammad Qasim Shahid; Rongbai Li; Wei Li; Wen Liu; Fozia Ghouri; Xiangdong Liu
Journal:  Plant Mol Biol Report       Date:  2018-07-22       Impact factor: 1.595

  8 in total

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