Literature DB >> 22976472

Genetic and epigenetic contribution to complex traits.

Helena Kilpinen1, Emmanouil T Dermitzakis.   

Abstract

Much of the recent advances in functional genomics owe to developments in next-generation sequencing technology, which has contributed to the exponential increase of genomic data available for different human disease and population samples. With functional sequencing assays available to query both the transcriptome and the epigenome, annotation of the non-coding, regulatory genome is steadily improving and providing means to interpret the functional consequences of genetic variants associated with human complex traits. This has highlighted the need to better understand the normal variation in various cellular phenotypes, such as epigenetic modifications, and their transgenerational inheritance. In this review, we discuss different aspects of epigenetic variation in the context of DNA sequence variation and its contribution to complex phenotypes.

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Year:  2012        PMID: 22976472     DOI: 10.1093/hmg/dds383

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  26 in total

Review 1.  Epigenetic pathways regulating bone homeostasis: potential targeting for intervention of skeletal disorders.

Authors:  Jonathan A R Gordon; Martin A Montecino; Rami I Aqeilan; Janet L Stein; Gary S Stein; Jane B Lian
Journal:  Curr Osteoporos Rep       Date:  2014-12       Impact factor: 5.096

Review 2.  DNA methylation-based variation between human populations.

Authors:  Farzeen Kader; Meenu Ghai
Journal:  Mol Genet Genomics       Date:  2016-11-04       Impact factor: 3.291

3.  In silico analysis of a disease-causing mutation in PCDH15 gene in a consanguineous Pakistani family with Usher phenotype.

Authors:  Shamim Saleha; Muhammad Ajmal; Muhammad Jamil; Muhammad Nasir; Abdul Hameed
Journal:  Int J Ophthalmol       Date:  2016-05-18       Impact factor: 1.779

Review 4.  When the Lyon(ized chromosome) roars: ongoing expression from an inactive X chromosome.

Authors:  Laura Carrel; Carolyn J Brown
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-11-05       Impact factor: 6.237

5.  Oligogenic inheritance of a human heart disease involving a genetic modifier.

Authors:  Casey A Gifford; Sanjeev S Ranade; Ryan Samarakoon; Hazel T Salunga; T Yvanka de Soysa; Yu Huang; Ping Zhou; Aryé Elfenbein; Stacia K Wyman; Yen Kim Bui; Kimberly R Cordes Metzler; Philip Ursell; Kathryn N Ivey; Deepak Srivastava
Journal:  Science       Date:  2019-05-30       Impact factor: 47.728

Review 6.  Insights into the genetic foundations of human communication.

Authors:  Sarah A Graham; Pelagia Deriziotis; Simon E Fisher
Journal:  Neuropsychol Rev       Date:  2015-01-18       Impact factor: 7.444

7.  DNA methylation contributes to natural human variation.

Authors:  Holger Heyn; Sebastian Moran; Irene Hernando-Herraez; Sergi Sayols; Antonio Gomez; Juan Sandoval; Dave Monk; Kenichiro Hata; Tomas Marques-Bonet; Liewei Wang; Manel Esteller
Journal:  Genome Res       Date:  2013-08-01       Impact factor: 9.043

8.  DNA methylation age of blood predicts all-cause mortality in later life.

Authors:  Riccardo E Marioni; Sonia Shah; Allan F McRae; Brian H Chen; Elena Colicino; Sarah E Harris; Jude Gibson; Anjali K Henders; Paul Redmond; Simon R Cox; Alison Pattie; Janie Corley; Lee Murphy; Nicholas G Martin; Grant W Montgomery; Andrew P Feinberg; M Daniele Fallin; Michael L Multhaup; Andrew E Jaffe; Roby Joehanes; Joel Schwartz; Allan C Just; Kathryn L Lunetta; Joanne M Murabito; John M Starr; Steve Horvath; Andrea A Baccarelli; Daniel Levy; Peter M Visscher; Naomi R Wray; Ian J Deary
Journal:  Genome Biol       Date:  2015-01-30       Impact factor: 13.583

9.  Omic personality: implications of stable transcript and methylation profiles for personalized medicine.

Authors:  Rubina Tabassum; Ambily Sivadas; Vartika Agrawal; Haozheng Tian; Dalia Arafat; Greg Gibson
Journal:  Genome Med       Date:  2015-08-13       Impact factor: 11.117

10.  Identifying rare and common disease associated variants in genomic data using Parkinson's disease as a model.

Authors:  Ying-Chao Lin; Ai-Ru Hsieh; Ching-Lin Hsiao; Shang-Jung Wu; Hui-Min Wang; Ie-Bin Lian; Cathy S J Fann
Journal:  J Biomed Sci       Date:  2014-08-30       Impact factor: 8.410

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