Literature DB >> 20193048

The 1000 Genomes Project: new opportunities for research and social challenges.

Marc Via1, Christopher Gignoux, Esteban González Burchard.   

Abstract

The 1000 Genomes Project, an international collaboration, is sequencing the whole genome of approximately 2,000 individuals from different worldwide populations. The central goal of this project is to describe most of the genetic variation that occurs at a population frequency greater than 1%. The results of this project will allow scientists to identify genetic variation at an unprecedented degree of resolution and will also help improve the imputation methods for determining unobserved genetic variants that are not represented on current genotyping arrays. By identifying novel or rare functional genetic variants, researchers will be able to pinpoint disease-causing genes in genomic regions initially identified by association studies. This level of detailed sequence information will also improve our knowledge of the evolutionary processes and the genomic patterns that have shaped the human species as we know it today. The new data will also lay the foundation for future clinical applications, such as prediction of disease susceptibility and drug response. However, the forthcoming availability of whole genome sequences at affordable prices will raise ethical concerns and pose potential threats to individual privacy. Nevertheless, we believe that these potential risks are outweighed by the benefits in terms of diagnosis and research, so long as rigorous safeguards are kept in place through legislation that prevents discrimination on the basis of the results of genetic testing.

Entities:  

Year:  2010        PMID: 20193048      PMCID: PMC2829928          DOI: 10.1186/gm124

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


  3 in total

1.  Health law - genetics - Congress restricts use of genetic information by insurers and employers. - Genetic Information Nondiscrimination Act of 2008, Pub. L. No. 110-233, 122 Stat. 881 (to be codified in scattered sections of 26, 29, and 42 U.S.C.).

Authors: 
Journal:  Harv Law Rev       Date:  2009-01

2.  Proportionally more deleterious genetic variation in European than in African populations.

Authors:  Kirk E Lohmueller; Amit R Indap; Steffen Schmidt; Adam R Boyko; Ryan D Hernandez; Melissa J Hubisz; John J Sninsky; Thomas J White; Shamil R Sunyaev; Rasmus Nielsen; Andrew G Clark; Carlos D Bustamante
Journal:  Nature       Date:  2008-02-21       Impact factor: 49.962

3.  Rare variants of IFIH1, a gene implicated in antiviral responses, protect against type 1 diabetes.

Authors:  Sergey Nejentsev; Neil Walker; David Riches; Michael Egholm; John A Todd
Journal:  Science       Date:  2009-03-05       Impact factor: 47.728

  3 in total
  62 in total

Review 1.  Exome sequencing: a transformative technology.

Authors:  Andrew B Singleton
Journal:  Lancet Neurol       Date:  2011-10       Impact factor: 44.182

2.  The rules of variation: amino acid exchange according to the rotating circular genetic code.

Authors:  Fernando Castro-Chavez
Journal:  J Theor Biol       Date:  2010-04-03       Impact factor: 2.691

Review 3.  Triggers for genomic rearrangements: insights into genomic, cellular and environmental influences.

Authors:  Ram-Shankar Mani; Arul M Chinnaiyan
Journal:  Nat Rev Genet       Date:  2010-11-03       Impact factor: 53.242

4.  Savant: genome browser for high-throughput sequencing data.

Authors:  Marc Fiume; Vanessa Williams; Andrew Brook; Michael Brudno
Journal:  Bioinformatics       Date:  2010-06-20       Impact factor: 6.937

5.  The Archon Genomics X PRIZE for whole human genome sequencing.

Authors:  Larry Kedes; Edison T Liu
Journal:  Nat Genet       Date:  2010-11       Impact factor: 38.330

Review 6.  Genome-wide significant associations for variants with minor allele frequency of 5% or less--an overview: A HuGE review.

Authors:  Orestis A Panagiotou; Evangelos Evangelou; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2010-09-28       Impact factor: 4.897

Review 7.  The genetics of type 2 diabetes: what have we learned from GWAS?

Authors:  Liana K Billings; Jose C Florez
Journal:  Ann N Y Acad Sci       Date:  2010-11       Impact factor: 5.691

Review 8.  Implications of genome-wide association studies in cancer therapeutics.

Authors:  Jai N Patel; Howard L McLeod; Federico Innocenti
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

9.  Two-stage design of sequencing studies for testing association with rare variants.

Authors:  Fan Yang; Duncan C Thomas
Journal:  Hum Hered       Date:  2011-07-02       Impact factor: 0.444

10.  Statistical Optimization of Pharmacogenomics Association Studies: Key Considerations from Study Design to Analysis.

Authors:  Benjamin J Grady; Marylyn D Ritchie
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-03-01
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