Title |
Exome sequencing as a tool for Mendelian disease gene discovery
|
---|---|
Published in |
Nature Reviews Genetics, September 2011
|
DOI | 10.1038/nrg3031 |
Pubmed ID | |
Authors |
Michael J. Bamshad, Sarah B. Ng, Abigail W. Bigham, Holly K. Tabor, Mary J. Emond, Deborah A. Nickerson, Jay Shendure |
Abstract |
Exome sequencing - the targeted sequencing of the subset of the human genome that is protein coding - is a powerful and cost-effective new tool for dissecting the genetic basis of diseases and traits that have proved to be intractable to conventional gene-discovery strategies. Over the past 2 years, experimental and analytical approaches relating to exome sequencing have established a rich framework for discovering the genes underlying unsolved Mendelian disorders. Additionally, exome sequencing is being adapted to explore the extent to which rare alleles explain the heritability of complex diseases and health-related traits. These advances also set the stage for applying exome and whole-genome sequencing to facilitate clinical diagnosis and personalized disease-risk profiling. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 6% |
Japan | 1 | 6% |
Spain | 1 | 6% |
United States | 1 | 6% |
Unknown | 14 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 94% |
Scientists | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 39 | 2% |
United Kingdom | 16 | <1% |
Germany | 13 | <1% |
Brazil | 9 | <1% |
Korea, Republic of | 6 | <1% |
Canada | 6 | <1% |
Spain | 5 | <1% |
India | 5 | <1% |
Italy | 5 | <1% |
Other | 50 | 2% |
Unknown | 2184 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 536 | 23% |
Researcher | 450 | 19% |
Student > Master | 310 | 13% |
Student > Bachelor | 241 | 10% |
Student > Postgraduate | 117 | 5% |
Other | 433 | 19% |
Unknown | 251 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 892 | 38% |
Biochemistry, Genetics and Molecular Biology | 500 | 21% |
Medicine and Dentistry | 362 | 15% |
Computer Science | 81 | 3% |
Neuroscience | 47 | 2% |
Other | 164 | 7% |
Unknown | 292 | 12% |