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Paper Details

Use of whole genome sequencing to determine genetic basis of suspected mitochondrial disorders: cohort study.
BMJ
36
2021
Author NameAffiliation
Rita HorvathSchool of Clinical Medicine, University of Cambridge
Wei WeiSchool of Clinical Medicine, University of Cambridge
Wei WeiMedical Research Council Mitochondrial Biology Unit, University of Cambridge
Kristina Iba??ezWilliam Harvey Research Institute, Queen Mary University of London
Thiloka RatnaikeSchool of Clinical Medicine, University of Cambridge
Thiloka RatnaikeMedical Research Council Mitochondrial Biology Unit, University of Cambridge
Thiloka RatnaikeUniversity of Cambridge
Ros QuinlivanUCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery
John A SayerTranslational and Clinical Research Institute, Newcastle University
Dragana JosifovaGuy's and St Thomas' NHS Foundation Trust
Louise IzattGuy's and St Thomas' NHS Foundation Trust
Charu DeshpandeGuy's and St Thomas' NHS Foundation Trust
Charu DeshpandeSt Mary's Hospital
Mark J CaulfieldWilliam Harvey Research Institute, Queen Mary University of London
Mark J CaulfieldWilliam Harvey Research Institute, Queen Mary University of London
Henry HouldenUCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery
Henry HouldenNeurology and Mitochondrial Disorders Genomics Clinical Interpretation Partnership, William Harvey Research Institute, Queen Mary University of London
Shamima RahmanNeurology and Mitochondrial Disorders Genomics Clinical Interpretation Partnership, William Harvey Research Institute, Queen Mary University of London
Shamima RahmanGreat Ormond Street Hospital for Children NHS Foundation Trust
Shamima RahmanUCL Great Ormond Street Institute of Child Health
Patrick F ChinnerySchool of Clinical Medicine, University of Cambridge
Patrick F ChinneryMedical Research Council Mitochondrial Biology Unit, University of Cambridge
Patrick F ChinneryNeurology and Mitochondrial Disorders Genomics Clinical Interpretation Partnership, William Harvey Research Institute, Queen Mary University of London
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Datasets

ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar is a freely accessible, public archive of submitted reports about the relationships among human variations and phenotypes, with supporting evidence.Link
ClinVarClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, publLink