Unknown

Dataset Information

0

Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome.


ABSTRACT: Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay. We directly measured the effect of variants both proximal and distal to splice junctions. Furthermore, we found that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants.

SUBMITTER: Rivas MA 

PROVIDER: S-EPMC4537935 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome.

Rivas Manuel A MA   Pirinen Matti M   Conrad Donald F DF   Lek Monkol M   Tsang Emily K EK   Karczewski Konrad J KJ   Karczewski Konrad J KJ   Maller Julian B JB   Kukurba Kimberly R KR   DeLuca David S DS   Fromer Menachem M   Ferreira Pedro G PG   Smith Kevin S KS   Zhang Rui R   Zhao Fengmei F   Banks Eric E   Poplin Ryan R   Ruderfer Douglas M DM   Purcell Shaun M SM   Tukiainen Taru T   Minikel Eric V EV   Stenson Peter D PD   Cooper David N DN   Huang Katharine H KH   Sullivan Timothy J TJ   Nedzel Jared J   Bustamante Carlos D CD   Li Jin Billy JB   Daly Mark J MJ   Guigo Roderic R   Donnelly Peter P   Ardlie Kristin K   Sammeth Michael M   Dermitzakis Emmanouil T ET   McCarthy Mark I MI   Montgomery Stephen B SB   Lappalainen Tuuli T   MacArthur Daniel G DG  

Science (New York, N.Y.) 20150501 6235


Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay  ...[more]

Similar Datasets

| S-EPMC4671652 | biostudies-literature
| S-EPMC6602806 | biostudies-literature
| S-EPMC11160786 | biostudies-literature
| S-EPMC5618255 | biostudies-literature
| S-EPMC10011128 | biostudies-literature
| S-EPMC5498329 | biostudies-literature
| S-EPMC2396740 | biostudies-literature
| S-EPMC7073216 | biostudies-literature
| S-EPMC5638866 | biostudies-literature
| S-EPMC4547472 | biostudies-literature