Literature DB >> 23124193

Exome-based linkage disequilibrium maps of individual genes: functional clustering and relationship to disease.

Jane Gibson1, William Tapper, Sarah Ennis, Andrew Collins.   

Abstract

Exome sequencing identifies thousands of DNA variants and a proportion of these are involved in disease. Genotypes derived from exome sequences provide particularly high-resolution coverage enabling study of the linkage disequilibrium structure of individual genes. The extent and strength of linkage disequilibrium reflects the combined influences of mutation, recombination, selection and population history. By constructing linkage disequilibrium maps of individual genes, we show that genes containing OMIM-listed disease variants are significantly under-represented amongst genes with complete or very strong linkage disequilibrium (P = 0.0004). In contrast, genes with disease variants are significantly over-represented amongst genes with levels of linkage disequilibrium close to the average for genes not known to contain disease variants (P = 0.0038). Functional clustering reveals, amongst genes with particularly strong linkage disequilibrium, significant enrichment of essential biological functions (e.g. phosphorylation, cell division, cellular transport and metabolic processes). Strong linkage disequilibrium, corresponding to reduced haplotype diversity, may reflect selection in utero against deleterious mutations which have profound impact on the function of essential genes. Genes with very weak linkage disequilibrium show enrichment of functions requiring greater allelic diversity (e.g. sensory perception and immune response). This category is not enriched for genes containing disease variation. In contrast, there is significant enrichment of genes containing disease variants amongst genes with more average levels of linkage disequilibrium. Mutations in these genes may less likely lead to in utero lethality and be subject to less intense selection.

Mesh:

Year:  2012        PMID: 23124193     DOI: 10.1007/s00439-012-1243-6

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  26 in total

1.  The first linkage disequilibrium (LD) maps: delineation of hot and cold blocks by diplotype analysis.

Authors:  N Maniatis; A Collins; C F Xu; L C McCarthy; D R Hewett; W Tapper; S Ennis; X Ke; N E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

2.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

3.  Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome.

Authors:  Winston Lau; Tai-Yue Kuo; William Tapper; Simon Cox; Andrew Collins
Journal:  Bioinformatics       Date:  2006-12-01       Impact factor: 6.937

4.  Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies.

Authors:  Susan Service; Joseph DeYoung; Maria Karayiorgou; J Louw Roos; Herman Pretorious; Gabriel Bedoya; Jorge Ospina; Andres Ruiz-Linares; António Macedo; Joana Almeida Palha; Peter Heutink; Yurii Aulchenko; Ben Oostra; Cornelia van Duijn; Marjo-Riitta Jarvelin; Teppo Varilo; Lynette Peddle; Proton Rahman; Giovanna Piras; Maria Monne; Sarah Murray; Luana Galver; Leena Peltonen; Chiara Sabatti; Andrew Collins; Nelson Freimer
Journal:  Nat Genet       Date:  2006-04-02       Impact factor: 38.330

5.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

6.  Assessing the patterns of linkage disequilibrium in genic regions of the human genome.

Authors:  Peng Sun; Ruijie Zhang; Yongshuai Jiang; Xing Wang; Jin Li; Hongchao Lv; Guoping Tang; Xiaodan Guo; Xianwen Meng; Haikun Zhang; Ruimin Zhang
Journal:  FEBS J       Date:  2011-09-08       Impact factor: 5.542

Review 7.  Human SNP variability and mutation rate are higher in regions of high recombination.

Authors:  Martin J Lercher; Laurence D Hurst
Journal:  Trends Genet       Date:  2002-07       Impact factor: 11.639

8.  The fine-scale structure of recombination rate variation in the human genome.

Authors:  Gilean A T McVean; Simon R Myers; Sarah Hunt; Panos Deloukas; David R Bentley; Peter Donnelly
Journal:  Science       Date:  2004-04-23       Impact factor: 47.728

9.  Next generation exome sequencing of paediatric inflammatory bowel disease patients identifies rare and novel variants in candidate genes.

Authors:  Katja Christodoulou; Anthony E Wiskin; Jane Gibson; William Tapper; Claire Willis; Nadeem A Afzal; Rosanna Upstill-Goddard; John W Holloway; Michael A Simpson; R Mark Beattie; Andrew Collins; Sarah Ennis
Journal:  Gut       Date:  2012-04-28       Impact factor: 23.059

10.  A comparative analysis of exome capture.

Authors:  Jennifer S Parla; Ivan Iossifov; Ian Grabill; Mona S Spector; Melissa Kramer; W Richard McCombie
Journal:  Genome Biol       Date:  2011-09-29       Impact factor: 13.583

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  6 in total

1.  Genetic Variations and mRNA Expression of Goat DNAH1 and Their Associations with Litter Size.

Authors:  Zhen Wang; Ruolan Wang; Chuanying Pan; Hong Chen; Lei Qu; Lian Wu; Zhengang Guo; Haijing Zhu; Xianyong Lan
Journal:  Cells       Date:  2022-04-18       Impact factor: 7.666

2.  Commercial chicken breeds exhibit highly divergent patterns of linkage disequilibrium.

Authors:  R J Pengelly; A A Gheyas; R Kuo; E Mossotto; E G Seaby; D W Burt; S Ennis; A Collins
Journal:  Heredity (Edinb)       Date:  2016-07-06       Impact factor: 3.821

3.  A map of constrained coding regions in the human genome.

Authors:  James M Havrilla; Brent S Pedersen; Ryan M Layer; Aaron R Quinlan
Journal:  Nat Genet       Date:  2018-12-10       Impact factor: 38.330

4.  A SNP profiling panel for sample tracking in whole-exome sequencing studies.

Authors:  Reuben J Pengelly; Jane Gibson; Gaia Andreoletti; Andrew Collins; Christopher J Mattocks; Sarah Ennis
Journal:  Genome Med       Date:  2013-09-27       Impact factor: 11.117

5.  Genomic population structure and prevalence of copy number variations in South African Nguni cattle.

Authors:  Magretha Diane Wang; Kennedy Dzama; Charles A Hefer; Farai C Muchadeyi
Journal:  BMC Genomics       Date:  2015-11-04       Impact factor: 3.969

6.  Efficient haplotype block recognition of very long and dense genetic sequences.

Authors:  Daniel Taliun; Johann Gamper; Cristian Pattaro
Journal:  BMC Bioinformatics       Date:  2014-01-14       Impact factor: 3.169

  6 in total

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