Inferring disease risk genes from sequencing data in multiplex pedigrees through sharing of rare variants-Reference-Cited by-同舟云学术

Inferring disease risk genes from sequencing data in multiplex pedigrees through sharing of rare variants

Published:2018-09-24 Issue:1 Volume:43 Page:37-49
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol

Author:

Bureau Alexandre¹²^ORCID,Begum Ferdouse³,Taub Margaret A.⁴,Hetmanski Jacqueline B.³,Parker Margaret M.⁵,Albacha-Hejazi Hasan⁶,Scott Alan F.⁷,Murray Jeffrey C.⁸,Marazita Mary L.⁹,Bailey-Wilson Joan E.¹⁰^ORCID,Beaty Terri H.³,Ruczinski Ingo⁴

Affiliation:

1. Département de Médecine Sociale et Préventive; Université Laval; Québec City Québec Canada

2. Centre de recherche CERVO; Québec City Québec Canada

3. Department of Epidemiology; Johns Hopkins Bloomberg School of Public Health; Baltimore Maryland

4. Department of Biostatistics; Johns Hopkins Bloomberg School of Public Health; Baltimore Maryland

5. Channing Division of Network Medicine; Harvard Medical School; Boston Massachusetts

6. Prime Health Clinic  Jeddah; Riyadh Saudi Arabia

7. Institute of Genetic Medicine; Johns Hopkins Medical Institutions; Baltimore Maryland

8. Department of Pediatrics; School of Medicine, University of Iowa; Iowa City Iowa

9. Department of Oral Biology; School of Dental Medicine, University of Pittsburgh; Pittsburgh Pennsylvania

10. Inherited Disease Research Branch; National Human Genome Research Institute; Baltimore Maryland

Funder

Canadian Statistical Sciences Institute

National Institutes of Health

Center for Inherited Disease Research

NIH to Johns Hopkins University

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.22155/fullpdf

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4. Whole exome sequencing of distant relatives in multiplex families implicates rare variants in candidate genes for oral clefts;Bureau;Genetics,2014

5. Inferring rare disease risk variants based on exact probabilities of sharing by multiple affected relatives;Bureau;Bioinformatics (Oxford, England),2014

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