Single suture craniosynostosis: Identification of rare variants in genes associated with syndromic forms-Reference-Cited by-同舟云学术

Single suture craniosynostosis: Identification of rare variants in genes associated with syndromic forms

Published:2017-11-23 Issue:2 Volume:176 Page:290-300
ISSN:1552-4825
Container-title:American Journal of Medical Genetics Part A
language:en
Short-container-title:Am J Med Genet

Author:

Clarke Christine M.¹,Fok Vincent T.¹,Gustafson Jennifer A.¹,Smyth Matthew D.²³,Timms Andrew E.¹,Frazar Chris D.⁴,Smith Joshua D.⁴,Birgfeld Craig B.⁵⁶⁷,Lee Amy⁷⁸⁹,Ellenbogen Richard G.⁷⁸⁹,Gruss Joseph S.⁵⁶⁷,Hopper Richard A.⁵⁶⁷,Cunningham Michael L.¹⁷¹⁰^ORCID

Affiliation:

1. Center for Developmental Biology and Regenerative MedicineSeattle Children's Research InstituteSeattleWashington

2. Washington University Department of NeurosurgerySt. LouisMissouri

3. St. Louis Children's HospitalSt. LouisMissouri

4. Department of Genome SciencesUniversity of WashingtonSeattleWashington

5. Division of Plastic Surgery, Department of SurgeryUniversity of Washington School of MedicineSeattleWashington

6. Division of Craniofacial and Plastic SurgerySeattle Children's HospitalSeattleWashington

7. Seattle Children's Craniofacial CenterSeattle Children's HospitalSeattleWashington

8. Department of Neurological SurgeryUniversity of Washington School of MedicineSeattleWashington

9. Department of Pediatric NeurosurgerySeattle Children's HospitalSeattleWashington

10. Division of Craniofacial Medicine, Department of PediatricsUniversity of WashingtonSeattleWashington

Funder

National Institute of Dental and Craniofacial Research

Publisher

Wiley

Subject

Genetics (clinical),Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajmg.a.38540

Reference41 articles.

1. A method and server for predicting damaging missense mutations

2. A population-based study of craniosynostosis in metropolitan Atlanta, 1989–2003

3. Genetic analysis of non-syndromic craniosynostosis

4. Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++

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