Work

Co-localization between Sequence Constraint and Epigenomic Information Improves Interpretation of Whole-Genome Sequencing Data

Year: 2020

Type: article

Source: The American Journal of Human Genetics

DOI: 10.1016/j.ajhg.2020.03.003

Authors: Danqing Xu, Chen Wang, Krzysztof Kiryluk, Joseph D. Buxbaum, Iuliana Ionita-Laza

Institutions: Columbia University, Icahn School of Medicine at Mount Sinai

Language: English

Topic: Genomics and Rare Diseases

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Columbia University, National Institutes of Health, National Institute of Mental Health, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: 1/4 - The Autism Sequencing Consortium: Autism Gene Discovery in >50,000 Exomes, Genomics of glomerular disease, Integrative methods for the identification of causal variants in mental disorder, Novel Statistical methods for DNA Sequencing Data, and applications to Autism., G9000131335

OpenAlex ID: W3014899026

FWCI: 0.44

Cites: 37

Cited by: 3

Related to: 10