Lucas D Ward
Affiliation: Massachusetts Institute of Technology
- Interpreting noncoding genetic variation in complex traits and human diseaseLucas D Ward
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Nat Biotechnol 30:1095-106. 2012..Ultimately, advances in regulatory and systems genomics can help unleash the value of whole-genome sequencing for personalized genomic risk assessment, diagnosis and treatment...
- HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variantsLucas D Ward
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology and The Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
Nucleic Acids Res 40:D930-4. 2012..HaploReg will be useful to researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. The HaploReg database is available at http://compbio.mit.edu/HaploReg...
- Evidence of abundant purifying selection in humans for recently acquired regulatory functionsLucas D Ward
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology MIT, Cambridge, MA 02139, USA
Science 337:1675-8. 2012..Our results suggest continued turnover in regulatory regions, with at least an additional 4% of the human genome subject to lineage-specific constraint...
- A high-resolution map of human evolutionary constraint using 29 mammalsKerstin Lindblad-Toh
Broad Institute of Harvard and Massachusetts Institute of Technology, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA
Nature 478:476-82. 2011..Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease...
- Mapping and analysis of chromatin state dynamics in nine human cell typesJason Ernst
Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
Nature 473:43-9. 2011..Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease...