A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

Author:

MacArthur Daniel G.12,Balasubramanian Suganthi34,Frankish Adam1,Huang Ni1,Morris James1,Walter Klaudia1,Jostins Luke1,Habegger Lukas34,Pickrell Joseph K.5,Montgomery Stephen B.67,Albers Cornelis A.18,Zhang Zhengdong D.9,Conrad Donald F.10,Lunter Gerton11,Zheng Hancheng12,Ayub Qasim1,DePristo Mark A.13,Banks Eric13,Hu Min1,Handsaker Robert E.1314,Rosenfeld Jeffrey A.15,Fromer Menachem13,Jin Mike3,Mu Xinmeng Jasmine34,Khurana Ekta34,Ye Kai16,Kay Mike1,Saunders Gary Ian1,Suner Marie-Marthe1,Hunt Toby1,Barnes If H. A.1,Amid Clara117,Carvalho-Silva Denise R.1,Bignell Alexandra H.1,Snow Catherine1,Yngvadottir Bryndis1,Bumpstead Suzannah1,Cooper David N.18,Xue Yali1,Romero Irene Gallego15,Wang Jun12,Li Yingrui12,Gibbs Richard A.19,McCarroll Steven A.1314,Dermitzakis Emmanouil T.7,Pritchard Jonathan K.520,Barrett Jeffrey C.1,Harrow Jennifer1,Hurles Matthew E.1,Gerstein Mark B.3421,Tyler-Smith Chris1,

Affiliation:

1. Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.

2. Discipline of Paediatrics and Child Health, University of Sydney, Sydney, NSW 2006, Australia.

3. Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.

4. Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.

5. Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

6. Departments of Pathology and Genetics, Stanford University, Stanford, CA 94305–5324, USA.

7. Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva 4, Switzerland.

8. Department of Haematology, University of Cambridge and NHS Blood and Transplant, Cambridge CB2 0PT, UK.

9. Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.

10. Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA.

11. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.

12. BGI-Shenzhen, Shenzhen 518083, China.

13. Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.

14. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.

15. IST/High Performance and Research Computing, University of Medicine and Dentistry of New Jersey, Newark, NJ 07103, USA.

16. Molecular Epidemiology Section, Leiden University Medical Center, 2300 RC Leiden, Netherlands.

17. The European Nucleotide Archive, European Molecular Biology Laboratory–European Bioinformatics Institute, Hinxton CB10 1SD, UK.

18. Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, UK.

19. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA.

20. Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637, USA.

21. Department of Computer Science, Yale University, New Haven, CT, USA.

Abstract

Defective Gene Detective Identifying genes that give rise to diseases is one of the major goals of sequencing human genomes. However, putative loss-of-function genes, which are often some of the first identified targets of genome and exome sequencing, have often turned out to be sequencing errors rather than true genetic variants. In order to identify the true scope of loss-of-function genes within the human genome, MacArthur et al. (p. 823 ; see the Perspective by Quintana-Murci ) extensively validated the genomes from the 1000 Genomes Project, as well as an additional European individual, and found that the average person has about 100 true loss-of-function alleles of which approximately 20 have two copies within an individual. Because many known disease-causing genes were identified in “normal” individuals, the process of clinical sequencing needs to reassess how to identify likely causative alleles.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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