Finding Needles in the Haystack: Strategies for Uncovering Noncoding Regulatory Variants
You Chen1,2, Mauricio I Paramo1,2, Yingying Zhang1,2
1Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Annual Review of Genetics
|August 10, 2023
Summary
Identifying the function of noncoding variants in diseases is challenging. New tools and data are improving our ability to pinpoint causal variants and understand their regulatory effects.
Area of Science:
- Genomics
- Molecular Biology
- Human Genetics
Background:
- Noncoding variants are increasingly linked to human diseases.
- Understanding the functional impact of these variants is crucial but difficult.
- Advances in regulatory landscape annotation and variant data are key.
Purpose of the Study:
- To review recent progress in identifying and evaluating noncoding regulatory variants.
- To discuss future directions for understanding their role in disease.
Main Methods:
- Systematic annotation of the regulatory landscape.
- Analysis of large-scale sequence variant datasets.
- Development and application of computational tools and methods.
Main Results:
- Significant advancements have been made in identifying causal noncoding variants.
- New methods allow for the evaluation of the regulatory effects of these variants.
- The field is rapidly evolving with new tools and data.
Conclusions:
- Despite challenges, progress is being made in understanding noncoding variant function.
- Future research should focus on integrating diverse data and methods.
- A deeper understanding of noncoding regulatory variants will advance human disease research.
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