Literature DB >> 25227146

Heritability estimates on Hodgkin's lymphoma: a genomic- versus population-based approach.

Hauke Thomsen1, Miguel Inacio da Silva Filho1, Asta Försti2, Michael Fuchs3, Sabine Ponader3, Elke Pogge von Strandmann3, Lewin Eisele4, Stefan Herms5, Per Hofmann5, Jan Sundquist6, Andreas Engert3, Kari Hemminki2.   

Abstract

Genome-wide association studies (GWASs) have identified several single-nucleotide polymorphisms (SNPs) influencing the risk of Hodgkin's lymphoma (HL) and demonstrated the association of common genetic variation for this type of cancer. Such evidence for inherited genetic risk is also provided by the family history and the very high concordance between monozygotic twins. However, little is known about the genetic and environmental contributions. A common measure for describing the phenotypic variation due to genetics is the heritability. Using GWAS data on 906 HL cases by considering all typed SNPs simultaneously, we have calculated that the common variance explained by SNPs accounts for >35% of the total variation on the liability scale in HL (95% confidence interval 6-62%). These findings are consistent with similar heritability estimates of ∼ 0.40 (95% confidence interval 0.17-0.58) based on Swedish population data. Our estimates support the underlying polygenic basis for susceptibility to HL, and show that heritability based on the population data is somehow larger than heritability based on the genomic data because of the possibility of some missing heritability in the GWAS data. Besides that there is still major evidence for multiple loci causing HL on chromosomes other than chromosome 6 that need to be detected. Because of limited findings in prior GWASs, it seems worth checking for more loci causing susceptibility to HL.

Entities:  

Mesh:

Year:  2014        PMID: 25227146      PMCID: PMC4795060          DOI: 10.1038/ejhg.2014.184

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  33 in total

1.  Assessment of clinically silent atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle-aged subjects: rationale and design of the Heinz Nixdorf RECALL Study. Risk Factors, Evaluation of Coronary Calcium and Lifestyle.

Authors:  Axel Schmermund; Stefan Möhlenkamp; Andreas Stang; Dietrich Grönemeyer; Rainer Seibel; Herbert Hirche; Klaus Mann; Winfried Siffert; Karl Lauterbach; Johannes Siegrist; Karl-Heinz Jöckel; Raimund Erbel
Journal:  Am Heart J       Date:  2002-08       Impact factor: 4.749

Review 2.  Lymphocyte-predominant Hodgkin disease: a comprehensive overview.

Authors:  Sumit Bose; Chitra Ganesan; Manish Pant; Catherine Lai; Imad A Tabbara
Journal:  Am J Clin Oncol       Date:  2013-02       Impact factor: 2.339

3.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

4.  Genome partitioning of genetic variation for complex traits using common SNPs.

Authors:  Jian Yang; Teri A Manolio; Louis R Pasquale; Eric Boerwinkle; Neil Caporaso; Julie M Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M Geoffrey Hayes; William G Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William Lowe; Rasika A Mathias; Mads Melbye; Elizabeth Pugh; Marilyn C Cornelis; Bruce S Weir; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2011-05-08       Impact factor: 38.330

5.  The Swedish Family-Cancer Database 2009: prospects for histology-specific and immigrant studies.

Authors:  Kari Hemminki; Jianguang Ji; Andreas Brandt; Seyed Mohsen Mousavi; Jan Sundquist
Journal:  Int J Cancer       Date:  2010-05-15       Impact factor: 7.396

Review 6.  Estimation and partition of heritability in human populations using whole-genome analysis methods.

Authors:  Anna A E Vinkhuyzen; Naomi R Wray; Jian Yang; Michael E Goddard; Peter M Visscher
Journal:  Annu Rev Genet       Date:  2013-08-22       Impact factor: 16.830

7.  Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs.

Authors:  S Hong Lee; Teresa R DeCandia; Stephan Ripke; Jian Yang; Patrick F Sullivan; Michael E Goddard; Matthew C Keller; Peter M Visscher; Naomi R Wray
Journal:  Nat Genet       Date:  2012-02-19       Impact factor: 38.330

8.  A genome-wide association study of Hodgkin's lymphoma identifies new susceptibility loci at 2p16.1 (REL), 8q24.21 and 10p14 (GATA3).

Authors:  Victor Enciso-Mora; Peter Broderick; Yussanne Ma; Ruth F Jarrett; Henrik Hjalgrim; Kari Hemminki; Anke van den Berg; Bianca Olver; Amy Lloyd; Sara E Dobbins; Tracy Lightfoot; Flora E van Leeuwen; Asta Försti; Arjan Diepstra; Annegien Broeks; Jayaram Vijayakrishnan; Lesley Shield; Annette Lake; Dorothy Montgomery; Eve Roman; Andreas Engert; Elke Pogge von Strandmann; Katrin S Reiners; Ilja M Nolte; Karin E Smedby; Hans-Olov Adami; Nicola S Russell; Bengt Glimelius; Stephen Hamilton-Dutoit; Marieke de Bruin; Lars P Ryder; Daniel Molin; Karina Meden Sorensen; Ellen T Chang; Malcolm Taylor; Rosie Cooke; Robert Hofstra; Helga Westers; Tom van Wezel; Ronald van Eijk; Alan Ashworth; Klaus Rostgaard; Mads Melbye; Anthony J Swerdlow; Richard S Houlston
Journal:  Nat Genet       Date:  2010-10-31       Impact factor: 38.330

9.  Understanding and using quantitative genetic variation.

Authors:  William G Hill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-01-12       Impact factor: 6.237

10.  Finding the sources of missing heritability in a yeast cross.

Authors:  Joshua S Bloom; Ian M Ehrenreich; Wesley T Loo; Thúy-Lan Võ Lite; Leonid Kruglyak
Journal:  Nature       Date:  2013-02-03       Impact factor: 49.962

View more
  4 in total

1.  Mapping and Validating QTL for Fatty Acid Compositions and Growth Traits in Asian Seabass.

Authors:  Le Wang; Elaine Chua; Fei Sun; Zi Yi Wan; Baoqing Ye; Hongyan Pang; Yanfei Wen; Gen Hua Yue
Journal:  Mar Biotechnol (NY)       Date:  2019-07-04       Impact factor: 3.619

2.  Evidence of Inbreeding in Hodgkin Lymphoma.

Authors:  Hauke Thomsen; Miguel Inacio da Silva Filho; Michael Fuchs; Sabine Ponader; Elke Pogge von Strandmann; Lewin Eisele; Stefan Herms; Per Hoffmann; Andreas Engert; Kari Hemminki; Asta Försti
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

3.  Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility.

Authors:  Amit Sud; Hauke Thomsen; Philip J Law; Asta Försti; Miguel Inacio da Silva Filho; Amy Holroyd; Peter Broderick; Giulia Orlando; Oleg Lenive; Lauren Wright; Rosie Cooke; Douglas Easton; Paul Pharoah; Alison Dunning; Julian Peto; Federico Canzian; Rosalind Eeles; ZSofia Kote-Jarai; Kenneth Muir; Nora Pashayan; Per Hoffmann; Markus M Nöthen; Karl-Heinz Jöckel; Elke Pogge von Strandmann; Tracy Lightfoot; Eleanor Kane; Eve Roman; Annette Lake; Dorothy Montgomery; Ruth F Jarrett; Anthony J Swerdlow; Andreas Engert; Nick Orr; Kari Hemminki; Richard S Houlston
Journal:  Nat Commun       Date:  2017-12-01       Impact factor: 14.919

4.  Combined linkage and association analysis of classical Hodgkin lymphoma.

Authors:  Alastair Lawrie; Shuo Han; Amit Sud; Fay Hosking; Timothee Cezard; David Turner; Caroline Clark; Graeme I Murray; Dominic J Culligan; Richard S Houlston; Mark A Vickers
Journal:  Oncotarget       Date:  2018-04-17
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.