Gregory E. Crawford
· Wilburt C. Davison Distinguished Professor of PediatricsDuke University · Genetics and Genomics
Active 1962–2026
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About
Gregory E. Crawford is the Wilburt C. Davison Distinguished Professor of Pediatrics and a Professor in Pediatrics at Duke University School of Medicine. He also holds the position of Associate Professor in Molecular Genetics and Microbiology and is an affiliate of the Duke Regeneration Center. His contact information includes an email at greg.crawford@duke.edu and his office is located in Room 2111 CIEMAS, Durham, NC. The page indicates his involvement in the Third Year University Program in Genetics and Genomics, highlighting his focus on genetics and genomics within the context of pediatrics and molecular biology.
Research topics
- Biology
- Genetics
- Psychiatry
- Psychology
- Medicine
- Neuroscience
- Clinical psychology
- Computational biology
- Computer Science
- Demography
Selected publications
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Nature · 2022 · 2693 citations
, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 pro…
Biological Psychiatry · 2021 · 240 citations
Targeted long-read sequencing identifies missing disease-causing variation
The American Journal of Human Genetics · 2021 · 238 citations
Molecular Psychiatry · 2020 · 219 citations
). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.
Biological Psychiatry · 2021 · 202 citations
BACKGROUND: Polygenic scores (PGSs), which assess the genetic risk of individuals for a disease, are calculated as a weighted count of risk alleles identified in genome-wide association studies. PGS methods differ in which DNA variants are included and the weights assigned to them; some require an independent tuning sample to help inform these choices. PGSs are evaluated in independent target cohorts with known disease status. Variability between target cohorts is observed in applications to rea…
Recent grants
NIH · $225k · 2017
NIH · $422k · 2015
NIH · $2.2M · 2018
Frequent coauthors
- 212 shared
Lingyun Song
- 134 shared
Alexias Safi
Duke Medical Center
- 94 shared
Thomas G. Schulze
National Institute of Mental Health
- 92 shared
Timothy E. Reddy
Duke University
- 71 shared
Fabian Streit
Central Institute of Mental Health
- 66 shared
Terrence S. Furey
University of North Carolina at Chapel Hill
- 66 shared
Stephan Ripke
Charité - Universitätsmedizin Berlin
- 62 shared
Josef Frank
Heidelberg University
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