Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Heidi L. Rehm is active.

Publication


Featured researches published by Heidi L. Rehm.


Genetics in Medicine | 2015

Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

Sue Richards; Nazneen Aziz; Sherri J. Bale; David P. Bick; Soma Das; Julie M. Gastier-Foster; Wayne W. Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl V. Voelkerding; Heidi L. Rehm

Disclaimer: These ACMG Standards and Guidelines were developed primarily as an educational resource for clinical laboratory geneticists to help them provide quality clinical laboratory services. Adherence to these standards and guidelines is voluntary and does not necessarily assure a successful medical outcome. These Standards and Guidelines should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the clinical laboratory geneticist should apply his or her own professional judgment to the specific circumstances presented by the individual patient or specimen. Clinical laboratory geneticists are encouraged to document in the patient’s record the rationale for the use of a particular procedure or test, whether or not it is in conformance with these Standards and Guidelines. They also are advised to take notice of the date any particular guideline was adopted and to consider other relevant medical and scientific information that becomes available after that date. It also would be prudent to consider whether intellectual property interests may restrict the performance of certain tests and other procedures.The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants.1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next-generation sequencing. By adopting and leveraging next-generation sequencing, clinical laboratories are now performing an ever-increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes, and epigenetic assays for genetic disorders. By virtue of increased complexity, this shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context the ACMG convened a workgroup in 2013 comprising representatives from the ACMG, the Association for Molecular Pathology (AMP), and the College of American Pathologists to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP, and College of American Pathologists stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories, including genotyping, single genes, panels, exomes, and genomes. This report recommends the use of specific standard terminology—“pathogenic,” “likely pathogenic,” “uncertain significance,” “likely benign,” and “benign”—to describe variants identified in genes that cause Mendelian disorders. Moreover, this recommendation describes a process for classifying variants into these five categories based on criteria using typical types of variant evidence (e.g., population data, computational data, functional data, segregation data). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a Clinical Laboratory Improvement Amendments–approved laboratory, with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or the equivalent.Genet Med 17 5, 405–423.


Genetics in Medicine | 2013

ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing

Robert C. Green; Jonathan S. Berg; Wayne W. Grody; Sarah S. Kalia; Bruce R. Korf; Christa Lese Martin; Amy L. McGuire; Robert L. Nussbaum; Kelly E. Ormond; Heidi L. Rehm; Michael S. Watson; Marc S. Williams; Leslie G. Biesecker

In clinical exome and genome sequencing, there is a potential for the recognition and reporting of incidental or secondary findings unrelated to the indication for ordering the sequencing but of medical value for patient care. The American College of Medical Genetics and Genomics (ACMG) recently published a policy statement on clinical sequencing that emphasized the importance of alerting the patient to the possibility of such results in pretest patient discussions, clinical testing, and reporting of results. The ACMG appointed a Working Group on Incidental Findings in Clinical Exome and Genome Sequencing to make recommendations about responsible management of incidental findings when patients undergo exome or genome sequencing. This Working Group conducted a year-long consensus process, including an open forum at the 2012 Annual Meeting and review by outside experts, and produced recommendations that have been approved by the ACMG Board. Specific and detailed recommendations, and the background and rationale for these recommendations, are described herein. The ACMG recommends that laboratories performing clinical sequencing seek and report mutations of the specified classes or types in the genes listed here. This evaluation and reporting should be performed for all clinical germline (constitutional) exome and genome sequencing, including the “normal” of tumor-normal subtractive analyses in all subjects, irrespective of age but excluding fetal samples. We recognize that there are insufficient data on penetrance and clinical utility to fully support these recommendations, and we encourage the creation of an ongoing process for updating these recommendations at least annually as further data are collected.Genet Med 2013:15(7):565–574


Nature | 2014

Guidelines for investigating causality of sequence variants in human disease

Daniel G. MacArthur; Teri A. Manolio; David Dimmock; Heidi L. Rehm; Jay Shendure; Gonalo R. Abecasis; David Adams; Russ B. Altman; Euan A. Ashley; Jeffrey C. Barrett; Leslie G. Biesecker; Donald F. Conrad; Greg M. Cooper; Nancy J. Cox; Mark J. Daly; Mark Gerstein; David B. Goldstein; Joel N. Hirschhorn; Suzanne M. Leal; Len A. Pennacchio; John A. Stamatoyannopoulos; Shamil R. Sunyaev; David Valle; Benjamin F. Voight; Wendy Winckler; Chris Gunter

The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are urgently needed. Without rigorous standards we risk an acceleration of false-positive reports of causality, which would impede the translation of genomic research findings into the clinical diagnostic setting and hinder biological understanding of disease. Here we discuss the key challenges of assessing sequence variants in human disease, integrating both gene-level and variant-level support for causality. We propose guidelines for summarizing confidence in variant pathogenicity and highlight several areas that require further resource development.


Nature | 2004

TRPA1 is a candidate for the mechanosensitive transduction channel of vertebrate hair cells.

David P. Corey; Jaime García-Añoveros; Jeffrey R. Holt; Kelvin Y. Kwan; Shuh Yow Lin; Melissa A. Vollrath; Andrea Amalfitano; Eunice L.M. Cheung; Bruce H. Derfler; Anne Duggan; Gwenaëlle S. G. Géléoc; Paul A. Gray; Matthew P. Hoffman; Heidi L. Rehm; Daniel Tamasauskas; Duan Sun Zhang

Mechanical deflection of the sensory hair bundles of receptor cells in the inner ear causes ion channels located at the tips of the bundle to open, thereby initiating the perception of sound. Although some protein constituents of the transduction apparatus are known, the mechanically gated transduction channels have not been identified in higher vertebrates. Here, we investigate TRP (transient receptor potential) ion channels as candidates and find one, TRPA1 (also known as ANKTM1), that meets criteria for the transduction channel. The appearance of TRPA1 messenger RNA expression in hair cell epithelia coincides developmentally with the onset of mechanosensitivity. Antibodies to TRPA1 label hair bundles, especially at their tips, and tip labelling disappears when the transduction apparatus is chemically disrupted. Inhibition of TRPA1 protein expression in zebrafish and mouse inner ears inhibits receptor cell function, as assessed with electrical recording and with accumulation of a channel-permeant fluorescent dye. TRPA1 is probably a component of the transduction channel itself.


Genetics in Medicine | 2013

ACMG clinical laboratory standards for next-generation sequencing

Heidi L. Rehm; Sherri J. Bale; Pinar Bayrak-Toydemir; Jonathan S. Berg; Kerry K. Brown; Joshua L. Deignan; Michael J. Friez; Birgit Funke; Madhuri Hegde; Elaine Lyon

Next-generation sequencing technologies have been and continue to be deployed in clinical laboratories, enabling rapid transformations in genomic medicine. These technologies have reduced the cost of large-scale sequencing by several orders of magnitude, and continuous advances are being made. It is now feasible to analyze an individual’s near-complete exome or genome to assist in the diagnosis of a wide array of clinical scenarios. Next-generation sequencing technologies are also facilitating further advances in therapeutic decision making and disease prediction for at-risk patients. However, with rapid advances come additional challenges involving the clinical validation and use of these constantly evolving technologies and platforms in clinical laboratories. To assist clinical laboratories with the validation of next-generation sequencing methods and platforms, the ongoing monitoring of next-generation sequencing testing to ensure quality results, and the interpretation and reporting of variants found using these technologies, the American College of Medical Genetics and Genomics has developed the following professional standards and guidelines.Genet Med 15 9, 733–747.Genetics in Medicine (2013); 15 9, 733–747. doi:10.1038/gim.2013.92


American Journal of Human Genetics | 2005

GJB2 Mutations and Degree of Hearing Loss: A Multicenter Study

Rikkert L. Snoeckx; P.L.M. Huygen; Delphine Feldmann; Sandrine Marlin; Françoise Denoyelle; Jaroslaw Waligora; Malgorzata Mueller-Malesinska; Agneszka Pollak; Rafał Płoski; Alessandra Murgia; Eva Orzan; Pierangela Castorina; Umberto Ambrosetti; Ewa Nowakowska-Szyrwinska; Jerzy Bal; Wojciech Wiszniewski; Andreas R. Janecke; Doris Nekahm-Heis; Pavel Seeman; O. Bendová; Margaret A. Kenna; Anna Frangulov; Heidi L. Rehm; Mustafa Tekin; Armagan Incesulu; Hans Henrik M Dahl; Desirée du Sart; Lucy Jenkins; Deirdre Lucas; Maria Bitner-Glindzicz

Hearing impairment (HI) affects 1 in 650 newborns, which makes it the most common congenital sensory impairment. Despite extraordinary genetic heterogeneity, mutations in one gene, GJB2, which encodes the connexin 26 protein and is involved in inner ear homeostasis, are found in up to 50% of patients with autosomal recessive nonsyndromic hearing loss. Because of the high frequency of GJB2 mutations, mutation analysis of this gene is widely available as a diagnostic test. In this study, we assessed the association between genotype and degree of hearing loss in persons with HI and biallelic GJB2 mutations. We performed cross-sectional analyses of GJB2 genotype and audiometric data from 1,531 persons, from 16 different countries, with autosomal recessive, mild-to-profound nonsyndromic HI. The median age of all participants was 8 years; 90% of persons were within the age range of 0-26 years. Of the 83 different mutations identified, 47 were classified as nontruncating, and 36 as truncating. A total of 153 different genotypes were found, of which 56 were homozygous truncating (T/T), 30 were homozygous nontruncating (NT/NT), and 67 were compound heterozygous truncating/nontruncating (T/NT). The degree of HI associated with biallelic truncating mutations was significantly more severe than the HI associated with biallelic nontruncating mutations (P<.0001). The HI of 48 different genotypes was less severe than that of 35delG homozygotes. Several common mutations (M34T, V37I, and L90P) were associated with mild-to-moderate HI (median 25-40 dB). Two genotypes--35delG/R143W (median 105 dB) and 35delG/dela(GJB6-D13S1830) (median 108 dB)--had significantly more-severe HI than that of 35delG homozygotes.


Nature Biotechnology | 2012

Assuring the quality of next-generation sequencing in clinical laboratory practice

Amy S. Gargis; Lisa Kalman; Meredith W Berry; David P. Bick; David Dimmock; Tina Hambuch; Fei Lu; Elaine Lyon; Karl V. Voelkerding; Barbara A. Zehnbauer; Richa Agarwala; Sarah F. Bennett; Bin Chen; Ephrem L.H. Chin; John Compton; Soma Das; Daniel H. Farkas; Matthew J. Ferber; Birgit Funke; Manohar R. Furtado; Lilia Ganova-Raeva; Ute Geigenmüller; Sandra J Gunselman; Madhuri Hegde; Philip L. F. Johnson; Andrew Kasarskis; Shashikant Kulkarni; Thomas Lenk; Cs Jonathan Liu; Megan Manion

Amy S Gargis, Centers for Disease Control and Prevention Lisa Kalman, Centers for Disease Control and Prevention Meredith W Berry, SeqWright Inc David P Bick, Medical College of Wisconsin David P Dimmock, Medical College of Wisconsin Tina Hambuch, Illumina Clinical Services Fei Lu, SeqWright Inc Elaine Lyon, University of Utah Karl V Voelkerding, University of Utah Barbara Zehnbauer, Emory University


The New England Journal of Medicine | 2015

ClinGen — The Clinical Genome Resource

Heidi L. Rehm; Jonathan S. Berg; Lisa D. Brooks; Carlos Bustamante; James P. Evans; Melissa J. Landrum; David H. Ledbetter; Donna Maglott; Christa Lese Martin; Robert L. Nussbaum; Sharon E. Plon; Erin M. Ramos; Stephen T. Sherry; Michael S. Watson

On autopsy, a patient is found to have hypertrophic cardiomyopathy. The patient’s family pursues genetic testing that shows a “likely pathogenic” variant for the condition on the basis of a study in an original research publication. Given the dominant inheritance of the condition and the risk of sudden cardiac death, other family members are tested for the genetic variant to determine their risk. Several family members test negative and are told that they are not at risk for hypertrophic cardiomyopathy and sudden cardiac death, and those who test positive are told that they need to be regularly monitored for cardiomyopathy on echocardiography. Five years later, during a routine clinic visit of one of the genotype-positive family members, the cardiologist queries a database for current knowledge on the genetic variant and discovers that the variant is now interpreted as “likely benign” by another laboratory that uses more recently derived population-frequency data. A newly available testing panel for additional genes that are implicated in hypertrophic cardiomyopathy is initiated on an affected family member, and a different variant is found that is determined to be pathogenic. Family members are retested, and one member who previously tested negative is now found to be positive for this new variant. An immediate clinical workup detects evidence of cardiomyopathy, and an intracardiac defibrillator is implanted to reduce the risk of sudden cardiac death.


Nature Reviews Genetics | 2013

Disease-targeted sequencing: a cornerstone in the clinic.

Heidi L. Rehm

With the declining cost of sequencing and the ongoing discovery of disease genes, it is now possible to examine hundreds of genes in a single disease-targeted test. Although exome- and genome-sequencing approaches are beginning to compete, disease-targeted testing retains certain advantages and still holds a firm place in the diagnostic evaluation. Here I examine the current state of clinical disease-targeted sequencing and evaluate the benefits and challenges of incorporating sequencing tests into patient care.


The New England Journal of Medicine | 2008

Shared Genetic Causes of Cardiac Hypertrophy in Children and Adults

Hiroyuki Morita; Heidi L. Rehm; Andres Menesses; Barbara McDonough; Amy E. Roberts; Raju Kucherlapati; Jeffrey A. Towbin; Jonathan G. Seidman; Christine E. Seidman

BACKGROUND The childhood onset of idiopathic cardiac hypertrophy that occurs without a family history of cardiomyopathy can portend a poor prognosis. Despite morphologic similarities to genetic cardiomyopathies of adulthood, the contribution of genetics to childhood-onset hypertrophy is unknown. METHODS We assessed the family and medical histories of 84 children (63 boys and 21 girls) with idiopathic cardiac hypertrophy diagnosed before 15 years of age (mean [+/-SD] age, 6.99+/-6.12 years). We sequenced eight genes: MYH7, MYBPC3, TNNT2, TNNI3, TPM1, MYL3, MYL2, and ACTC. These genes encode sarcomere proteins that, when mutated, cause adult-onset cardiomyopathies. We also sequenced PRKAG2 and LAMP2, which encode metabolic proteins; mutations in these genes can cause early-onset ventricular hypertrophy. RESULTS We identified mutations in 25 of 51 affected children without family histories of cardiomyopathy and in 21 of 33 affected children with familial cardiomyopathy. Among 11 of the 25 children with presumed sporadic disease, 4 carried new mutations and 7 inherited the mutations. Mutations occurred predominantly (in >75% of the children) in MYH7 and MYBPC3; significantly more MYBPC3 missense mutations were detected than occur in adult-onset cardiomyopathy (P<0.005). Neither hypertrophic severity nor contractile function correlated with familial or genetic status. Cardiac transplantation and sudden death were more prevalent among mutation-positive than among mutation-negative children; implantable cardioverter-defibrillators were more frequent (P=0.007) in children with family histories that were positive for the mutation. CONCLUSIONS Genetic causes account for about half of presumed sporadic cases and nearly two thirds of familial cases of childhood-onset hypertrophy. Childhood-onset hypertrophy should prompt genetic analyses and family evaluations.

Collaboration


Dive into the Heidi L. Rehm's collaboration.

Top Co-Authors

Avatar

Robert C. Green

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Christine E. Seidman

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar

Jonathan S. Berg

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Sharon E. Plon

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Amy L. McGuire

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge