Genetic Misdiagnoses and the Potential for Health Disparities

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Genetic Misdiagnoses and the Potential for Health Disparities. / Manrai, Arjun K; Funke, Birgit H; Rehm, Heidi L; Olesen, Morten S; Maron, Bradley A; Szolovits, Peter; Margulies, David M; Loscalzo, Joseph; Kohane, Isaac S.

I: New England Journal of Medicine, Bind 375, Nr. 7, 18.08.2016, s. 655-65.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Manrai, AK, Funke, BH, Rehm, HL, Olesen, MS, Maron, BA, Szolovits, P, Margulies, DM, Loscalzo, J & Kohane, IS 2016, 'Genetic Misdiagnoses and the Potential for Health Disparities', New England Journal of Medicine, bind 375, nr. 7, s. 655-65. https://doi.org/10.1056/NEJMsa1507092

APA

Manrai, A. K., Funke, B. H., Rehm, H. L., Olesen, M. S., Maron, B. A., Szolovits, P., Margulies, D. M., Loscalzo, J., & Kohane, I. S. (2016). Genetic Misdiagnoses and the Potential for Health Disparities. New England Journal of Medicine, 375(7), 655-65. https://doi.org/10.1056/NEJMsa1507092

Vancouver

Manrai AK, Funke BH, Rehm HL, Olesen MS, Maron BA, Szolovits P o.a. Genetic Misdiagnoses and the Potential for Health Disparities. New England Journal of Medicine. 2016 aug. 18;375(7):655-65. https://doi.org/10.1056/NEJMsa1507092

Author

Manrai, Arjun K ; Funke, Birgit H ; Rehm, Heidi L ; Olesen, Morten S ; Maron, Bradley A ; Szolovits, Peter ; Margulies, David M ; Loscalzo, Joseph ; Kohane, Isaac S. / Genetic Misdiagnoses and the Potential for Health Disparities. I: New England Journal of Medicine. 2016 ; Bind 375, Nr. 7. s. 655-65.

Bibtex

@article{afa3b12c7385451dabb3c40a64aa5673,
title = "Genetic Misdiagnoses and the Potential for Health Disparities",
abstract = "BACKGROUND: For more than a decade, risk stratification for hypertrophic cardiomyopathy has been enhanced by targeted genetic testing. Using sequencing results, clinicians routinely assess the risk of hypertrophic cardiomyopathy in a patient's relatives and diagnose the condition in patients who have ambiguous clinical presentations. However, the benefits of genetic testing come with the risk that variants may be misclassified.METHODS: Using publicly accessible exome data, we identified variants that have previously been considered causal in hypertrophic cardiomyopathy and that are overrepresented in the general population. We studied these variants in diverse populations and reevaluated their initial ascertainments in the medical literature. We reviewed patient records at a leading genetic-testing laboratory for occurrences of these variants during the near-decade-long history of the laboratory.RESULTS: Multiple patients, all of whom were of African or unspecified ancestry, received positive reports, with variants misclassified as pathogenic on the basis of the understanding at the time of testing. Subsequently, all reported variants were recategorized as benign. The mutations that were most common in the general population were significantly more common among black Americans than among white Americans (P<0.001). Simulations showed that the inclusion of even small numbers of black Americans in control cohorts probably would have prevented these misclassifications. We identified methodologic shortcomings that contributed to these errors in the medical literature.CONCLUSIONS: The misclassification of benign variants as pathogenic that we found in our study shows the need for sequencing the genomes of diverse populations, both in asymptomatic controls and the tested patient population. These results expand on current guidelines, which recommend the use of ancestry-matched controls to interpret variants. As additional populations of different ancestry backgrounds are sequenced, we expect variant reclassifications to increase, particularly for ancestry groups that have historically been less well studied. (Funded by the National Institutes of Health.).",
keywords = "Adolescent, Adult, African Americans/genetics, Aged, Asian Americans/genetics, Cardiomyopathy, Hypertrophic/genetics, Child, European Continental Ancestry Group/genetics, Exome, False Positive Reactions, Genetic Predisposition to Disease, Genetic Testing, Genetic Variation, Genotype, Health Status Disparities, Hispanic Americans/genetics, Humans, Middle Aged, Mutation, Sequence Analysis, DNA, United States, Young Adult",
author = "Manrai, {Arjun K} and Funke, {Birgit H} and Rehm, {Heidi L} and Olesen, {Morten S} and Maron, {Bradley A} and Peter Szolovits and Margulies, {David M} and Joseph Loscalzo and Kohane, {Isaac S}",
year = "2016",
month = aug,
day = "18",
doi = "10.1056/NEJMsa1507092",
language = "English",
volume = "375",
pages = "655--65",
journal = "New England Journal of Medicine",
issn = "0028-4793",
publisher = "Massachusetts Medical Society",
number = "7",

}

RIS

TY - JOUR

T1 - Genetic Misdiagnoses and the Potential for Health Disparities

AU - Manrai, Arjun K

AU - Funke, Birgit H

AU - Rehm, Heidi L

AU - Olesen, Morten S

AU - Maron, Bradley A

AU - Szolovits, Peter

AU - Margulies, David M

AU - Loscalzo, Joseph

AU - Kohane, Isaac S

PY - 2016/8/18

Y1 - 2016/8/18

N2 - BACKGROUND: For more than a decade, risk stratification for hypertrophic cardiomyopathy has been enhanced by targeted genetic testing. Using sequencing results, clinicians routinely assess the risk of hypertrophic cardiomyopathy in a patient's relatives and diagnose the condition in patients who have ambiguous clinical presentations. However, the benefits of genetic testing come with the risk that variants may be misclassified.METHODS: Using publicly accessible exome data, we identified variants that have previously been considered causal in hypertrophic cardiomyopathy and that are overrepresented in the general population. We studied these variants in diverse populations and reevaluated their initial ascertainments in the medical literature. We reviewed patient records at a leading genetic-testing laboratory for occurrences of these variants during the near-decade-long history of the laboratory.RESULTS: Multiple patients, all of whom were of African or unspecified ancestry, received positive reports, with variants misclassified as pathogenic on the basis of the understanding at the time of testing. Subsequently, all reported variants were recategorized as benign. The mutations that were most common in the general population were significantly more common among black Americans than among white Americans (P<0.001). Simulations showed that the inclusion of even small numbers of black Americans in control cohorts probably would have prevented these misclassifications. We identified methodologic shortcomings that contributed to these errors in the medical literature.CONCLUSIONS: The misclassification of benign variants as pathogenic that we found in our study shows the need for sequencing the genomes of diverse populations, both in asymptomatic controls and the tested patient population. These results expand on current guidelines, which recommend the use of ancestry-matched controls to interpret variants. As additional populations of different ancestry backgrounds are sequenced, we expect variant reclassifications to increase, particularly for ancestry groups that have historically been less well studied. (Funded by the National Institutes of Health.).

AB - BACKGROUND: For more than a decade, risk stratification for hypertrophic cardiomyopathy has been enhanced by targeted genetic testing. Using sequencing results, clinicians routinely assess the risk of hypertrophic cardiomyopathy in a patient's relatives and diagnose the condition in patients who have ambiguous clinical presentations. However, the benefits of genetic testing come with the risk that variants may be misclassified.METHODS: Using publicly accessible exome data, we identified variants that have previously been considered causal in hypertrophic cardiomyopathy and that are overrepresented in the general population. We studied these variants in diverse populations and reevaluated their initial ascertainments in the medical literature. We reviewed patient records at a leading genetic-testing laboratory for occurrences of these variants during the near-decade-long history of the laboratory.RESULTS: Multiple patients, all of whom were of African or unspecified ancestry, received positive reports, with variants misclassified as pathogenic on the basis of the understanding at the time of testing. Subsequently, all reported variants were recategorized as benign. The mutations that were most common in the general population were significantly more common among black Americans than among white Americans (P<0.001). Simulations showed that the inclusion of even small numbers of black Americans in control cohorts probably would have prevented these misclassifications. We identified methodologic shortcomings that contributed to these errors in the medical literature.CONCLUSIONS: The misclassification of benign variants as pathogenic that we found in our study shows the need for sequencing the genomes of diverse populations, both in asymptomatic controls and the tested patient population. These results expand on current guidelines, which recommend the use of ancestry-matched controls to interpret variants. As additional populations of different ancestry backgrounds are sequenced, we expect variant reclassifications to increase, particularly for ancestry groups that have historically been less well studied. (Funded by the National Institutes of Health.).

KW - Adolescent

KW - Adult

KW - African Americans/genetics

KW - Aged

KW - Asian Americans/genetics

KW - Cardiomyopathy, Hypertrophic/genetics

KW - Child

KW - European Continental Ancestry Group/genetics

KW - Exome

KW - False Positive Reactions

KW - Genetic Predisposition to Disease

KW - Genetic Testing

KW - Genetic Variation

KW - Genotype

KW - Health Status Disparities

KW - Hispanic Americans/genetics

KW - Humans

KW - Middle Aged

KW - Mutation

KW - Sequence Analysis, DNA

KW - United States

KW - Young Adult

U2 - 10.1056/NEJMsa1507092

DO - 10.1056/NEJMsa1507092

M3 - Journal article

C2 - 27532831

VL - 375

SP - 655

EP - 665

JO - New England Journal of Medicine

JF - New England Journal of Medicine

SN - 0028-4793

IS - 7

ER -

ID: 196039414