Unknown

Dataset Information

0

Reassessment of Genomic Sequence Variation to Harmonize Interpretation for Personalized Medicine.


ABSTRACT: Accurate interpretation of DNA sequence variation is a prerequisite for implementing personalized medicine. Discrepancies in interpretation between testing laboratories impede the effective use of genetic test results in clinical medicine. To better understand the underpinnings of these discrepancies, we quantified differences in variant classification internally over time and those between our diagnostic laboratory and other laboratories and resources. We assessed the factors that contribute to these discrepancies and those that facilitate their resolution. Our process resolved 72% of nearly 300 discrepancies between pairs of laboratories to within a one-step classification difference and identified key sources of data that facilitate changes in variant interpretation. The identification and harmonization of variant discrepancies will maximize the clinical use of genetic information; these processes will be fostered by the accumulation of additional population data as well as the sharing of data between diagnostic laboratories.

SUBMITTER: Garber KB 

PROVIDER: S-EPMC5097932 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Reassessment of Genomic Sequence Variation to Harmonize Interpretation for Personalized Medicine.

Garber Kathryn B KB   Vincent Lisa M LM   Alexander John J JJ   Bean Lora J H LJH   Bale Sherri S   Hegde Madhuri M  

American journal of human genetics 20161027 5


Accurate interpretation of DNA sequence variation is a prerequisite for implementing personalized medicine. Discrepancies in interpretation between testing laboratories impede the effective use of genetic test results in clinical medicine. To better understand the underpinnings of these discrepancies, we quantified differences in variant classification internally over time and those between our diagnostic laboratory and other laboratories and resources. We assessed the factors that contribute to  ...[more]

Similar Datasets

| PRJNA606620 | ENA
| PRJNA606621 | ENA
| S-EPMC4442685 | biostudies-literature
| S-EPMC5748630 | biostudies-literature
| S-EPMC3171610 | biostudies-literature
| S-EPMC6325047 | biostudies-literature
| S-EPMC5112586 | biostudies-literature
| S-EPMC4816806 | biostudies-literature
2013-02-12 | E-GEOD-20290 | biostudies-arrayexpress