Screening the human exome: a comparison of whole genome and whole transcriptome sequencing.
Screening the human exome: a comparison of whole genome and whole transcriptome sequencing.
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DOI:
10.1186/gb-2010-11-5-r57
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发表时间:
2010
期刊:
影响因子:
12.3
通讯作者:
Center for HIV/AIDS Vaccine Immunology (CHAVI)
中科院分区:
文献类型:
--
作者:
Cirulli ET;Singh A;Shianna KV;Ge D;Smith JP;Maia JM;Heinzen EL;Goedert JJ;Goldstein DB;Center for HIV/AIDS Vaccine Immunology (CHAVI)
There is considerable interest in the development of methods to efficiently identify all coding variants present in large sample sets of humans. There are three approaches possible: whole-genome sequencing, whole-exome sequencing using exon capture methods, and RNA-Seq. While whole-genome sequencing is the most complete, it remains sufficiently expensive that cost effective alternatives are important. Here we provide a systematic exploration of how well RNA-Seq can identify human coding variants by comparing variants identified through high coverage whole-genome sequencing to those identified by high coverage RNA-Seq in the same individual. This comparison allowed us to directly evaluate the sensitivity and specificity of RNA-Seq in identifying coding variants, and to evaluate how key parameters such as the degree of coverage and the expression levels of genes interact to influence performance. We find that although only 40% of exonic variants identified by whole genome sequencing were captured using RNA-Seq; this number rose to 81% when concentrating on genes known to be well-expressed in the source tissue. We also find that a high false positive rate can be problematic when working with RNA-Seq data, especially at higher levels of coverage. We conclude that as long as a tissue relevant to the trait under study is available and suitable quality control screens are implemented, RNA-Seq is a fast and inexpensive alternative approach for finding coding variants in genes with sufficiently high expression levels.
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影响因子:
9.8
作者:
Heinzen EL;Ge D;Cronin KD;Maia JM;Shianna KV;Gabriel WN;Welsh-Bohmer KA;Hulette CM;Denny TN;Goldstein DB
通讯作者:
Goldstein DB
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
64.8
作者:
Shah, Sohrab P.;Morin, Ryan D.;Aparicio, Samuel
通讯作者:
Aparicio, Samuel
影响因子:
12.3
作者:
Clark TA;Schweitzer AC;Chen TX;Staples MK;Lu G;Wang H;Williams A;Blume JE
通讯作者:
Blume JE
DOI:
10.1093/bioinformatics/btp352
发表时间:
2009-08-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Li H;Handsaker B;Wysoker A;Fennell T;Ruan J;Homer N;Marth G;Abecasis G;Durbin R;1000 Genome Project Data Processing Subgroup
通讯作者:
1000 Genome Project Data Processing Subgroup