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Dive into the research topics where Birgit Funke is active.

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Featured researches published by Birgit Funke.


Cell | 2001

TBX1 is responsible for cardiovascular defects in velo-cardio-facial/DiGeorge syndrome

Sandra Merscher; Birgit Funke; Jonathan A. Epstein; Joerg Heyer; Anne Puech; Min Min Lu; Ramnik J. Xavier; Marie B. Demay; Robert G. Russell; Stephen M. Factor; Kazuhito Tokooya; Bruno St. Jore; Melissa Lopez; Raj K. Pandita; Marie Lia; Danaise V. Carrión; Hui Xu; Hubert Schorle; James B. Kobler; Peter J. Scambler; Anthony Wynshaw-Boris; Arthur I. Skoultchi; Bernice E. Morrow; Raju Kucherlapati

Velo-cardio-facial syndrome (VCFS)/DiGeorge syndrome (DGS) is a human disorder characterized by a number of phenotypic features including cardiovascular defects. Most VCFS/DGS patients are hemizygous for a 1.5-3.0 Mb region of 22q11. To investigate the etiology of this disorder, we used a cre-loxP strategy to generate mice that are hemizygous for a 1.5 Mb deletion corresponding to that on 22q11. These mice exhibit significant perinatal lethality and have conotruncal and parathyroid defects. The conotruncal defects can be partially rescued by a human BAC containing the TBX1 gene. Mice heterozygous for a null mutation in Tbx1 develop conotruncal defects. These results together with the expression patterns of Tbx1 suggest a major role for this gene in the molecular etiology of VCFS/DGS.


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


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


Arteriosclerosis, Thrombosis, and Vascular Biology | 2010

Cardiovascular Pathology in Hutchinson-Gilford Progeria: Correlation With the Vascular Pathology of Aging

Michelle Olive; Ingrid A. Harten; Richard N. Mitchell; Jeanette Beers; Karima Djabali; Kan Cao; Michael R. Erdos; Cecilia D. Blair; Birgit Funke; Leslie B. Smoot; Marie Gerhard-Herman; Jason T. Machan; Robert Kutys; Renu Virmani; Francis S. Collins; Thomas N. Wight; Elizabeth G. Nabel; Leslie B. Gordon

Objective—Children with Hutchinson-Gilford progeria syndrome (HGPS) exhibit dramatically accelerated cardiovascular disease (CVD), causing death from myocardial infarction or stroke between the ages of 7 and 20 years. We undertook the first histological comparative evaluation between genetically confirmed HGPS and the CVD of aging. Methods and Results—We present structural and immunohistological analysis of cardiovascular tissues from 2 children with HGPS who died of myocardial infarction. Both had features classically associated with the atherosclerosis of aging, as well as arteriolosclerosis of small vessels. In addition, vessels exhibited prominent adventitial fibrosis, a previously undescribed feature of HGPS. Importantly, although progerin was detected at higher rates in the HGPS coronary arteries, it was also present in non-HGPS individuals. Between the ages of 1 month and 97 years, progerin staining increased an average of 3.34% per year (P<0.0001) in coronary arteries. Conclusion—We find concordance among many aspects of cardiovascular pathology in both HGPS and geriatric patients. HGPS generates a more prominent adventitial fibrosis than typical CVD. Vascular progerin generation in young non-HGPS individuals, which significantly increases throughout life, strongly suggests that progerin has a role in cardiovascular aging of the general population.


American Journal of Human Genetics | 2004

Association of the DTNBP1 Locus with Schizophrenia in a U.S. Population

Birgit Funke; Christine T. Finn; Alex M. Plocik; Stephen Lake; Pamela DeRosse; John M. Kane; Raju Kucherlapati; Anil K. Malhotra

Linkage and association studies have recently implicated dystrobrevin-binding protein 1 (DTNBP1) in the etiology of schizophrenia. We analyzed seven previously tested DTNBP1 single-nucleotide polymorphisms (SNPs) in a cohort of 524 individuals with schizophrenia or schizoaffective disorder and 573 control subjects. The minor alleles of three SNPs (P1578, P1763, and P1765) were positively associated with the diagnosis of schizophrenia or schizoaffective disorder in the white subset of the study cohort (258 cases, 467 controls), with P1578 showing the most significant association (odds ratio 1.76, P =.0026). The same three SNPs were also associated in a smaller Hispanic subset (51 cases, 32 controls). No association was observed in the African American subset (215 cases, 74 controls). A stratified analysis of the white and Hispanic subsets showed association with the minor alleles of four SNPs (P1578, P1763, P1320, and P1765). Again, the most significant association was observed for P1578 (P =.0006). Haplotype analysis supported these findings, with a single risk haplotype significantly overrepresented in the white sample (P =.005). Our study provides further evidence for a role of the DTNBP1 gene in the genetic etiology of schizophrenia.


Genetics in Medicine | 2017

Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples

Roddy Walsh; K Thomson; James S. Ware; Birgit Funke; Jessica Woodley; Karen McGuire; Francesco Mazzarotto; Edward Blair; Anneke Seller; Jenny C. Taylor; Eric Vallabh Minikel; Daniel G. MacArthur; Martin Farrall; Stuart A. Cook; Hugh Watkins

Purpose:The accurate interpretation of variation in Mendelian disease genes has lagged behind data generation as sequencing has become increasingly accessible. Ongoing large sequencing efforts present huge interpretive challenges, but they also provide an invaluable opportunity to characterize the spectrum and importance of rare variation.Methods:We analyzed sequence data from 7,855 clinical cardiomyopathy cases and 60,706 Exome Aggregation Consortium (ExAC) reference samples to obtain a better understanding of genetic variation in a representative autosomal dominant disorder.Results:We found that in some genes previously reported as important causes of a given cardiomyopathy, rare variation is not clinically informative because there is an unacceptably high likelihood of false-positive interpretation. By contrast, in other genes, we find that diagnostic laboratories may be overly conservative when assessing variant pathogenicity.Conclusions:We outline improved analytical approaches that evaluate which genes and variant classes are interpretable and propose that these will increase the clinical utility of testing across a range of Mendelian diseases.Genet Med 19 2, 192–203.


The New England Journal of Medicine | 2016

Genetic Misdiagnoses and the Potential for Health Disparities

Arjun K. Manrai; Birgit Funke; Heidi L. Rehm; Morten S. Olesen; Bradley A. Maron; Peter Szolovits; David M. Margulies; Joseph Loscalzo; Isaac S. Kohane

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 patients 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.).


Genetics in Medicine | 2015

Results of clinical genetic testing of 2,912 probands with hypertrophic cardiomyopathy: expanded panels offer limited additional sensitivity

Ahmed A. Alfares; Melissa A. Kelly; Gregory McDermott; Birgit Funke; Matthew S. Lebo; Samantha Baxter; Jun Shen; Heather M. McLaughlin; Eugene H. Clark; Larry Babb; Stephanie Cox; Steven R. DePalma; Carolyn Y. Ho; Jonathan G. Seidman; Christine E. Seidman; Heidi L. Rehm

Purpose:Hypertrophic cardiomyopathy (HCM) is caused primarily by pathogenic variants in genes encoding sarcomere proteins. We report genetic testing results for HCM in 2,912 unrelated individuals with nonsyndromic presentations from a broad referral population over 10 years.Methods:Genetic testing was performed by Sanger sequencing for 10 genes from 2004 to 2007, by HCM CardioChip for 11 genes from 2007 to 2011 and by next-generation sequencing for 18, 46, or 51 genes from 2011 onward.Results:The detection rate is ~32% among unselected probands, with inconclusive results in an additional 15%. Detection rates were not significantly different between adult and pediatric probands but were higher in females compared with males. An expanded gene panel encompassing more than 50 genes identified only a very small number of additional pathogenic variants beyond those identifiable in our original panels, which examined 11 genes. Familial genetic testing in at-risk family members eliminated the need for longitudinal cardiac evaluations in 691 individuals. Based on the projected costs derived from Medicare fee schedules for the recommended clinical evaluations of HCM family members by the American College of Cardiology Foundation/American Heart Association, our data indicate that genetic testing resulted in a minimum cost savings of about


Genetics in Medicine | 2014

The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing

Trevor J. Pugh; Melissa A. Kelly; Sivakumar Gowrisankar; Elizabeth Hynes; Michael A. Seidman; Samantha Baxter; Mark J. Bowser; Bryan Harrison; Daniel Aaron; Lisa Mahanta; Neal K. Lakdawala; Gregory McDermott; Emily White; Heidi L. Rehm; Matthew S. Lebo; Birgit Funke

0.7 million.Conclusion:Clinical HCM genetic testing provides a definitive molecular diagnosis for many patients and provides cost savings to families. Expanded gene panels have not substantively increased the clinical sensitivity of HCM testing, suggesting major additional causes of HCM still remain to be identified.Genet Med 17 11, 880–888.


Schizophrenia Research | 2007

DTNBP1 genotype influences cognitive decline in schizophrenia.

Katherine E. Burdick; Terry E. Goldberg; Birgit Funke; John A. Bates; Todd Lencz; Raju Kucherlapati; Anil K. Malhotra

Purpose:Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic variant spectrum are still poorly defined. We analyzed 766 dilated cardiomyopathy patients tested over 5 years in our molecular diagnostics laboratory.Methods:Patients were tested using gene panels of increasing size from 5 to 46 genes, including 121 cases tested with a multiple-cardiomyopathy next-generation panel covering 46 genes. All variants were reassessed using our current clinical-grade scoring system to eliminate false-positive disease associations that afflict many older analyses.Results:Up to 37% of dilated cardiomyopathy cases carry a clinically relevant variant in one of 20 genes, titin (TTN) being the largest contributor (up to 14%). Desmoplakin (DSP), an arrhythmogenic right ventricular cardiomyopathy gene, contributed 2.4%, illustrating the utility of multidisease testing. The clinical sensitivity increased from 10 to 37% as gene panel sizes increased. However, the number of inconclusive cases also increased from 4.6 to 51%.Conclusion:Our data illustrate the utility of broad gene panels for genetically and clinically heterogeneous diseases but also highlight challenges as molecular diagnostics moves toward genome-wide testing.Genet Med 16 8, 601–608.Genetics in Medicine (2014); 16 8, 601–608. doi:10.1038/gim.2013.204

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Bernice E. Morrow

Albert Einstein College of Medicine

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Raj K. Pandita

Houston Methodist Hospital

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Anil K. Malhotra

The Feinstein Institute for Medical Research

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Christine E. Seidman

Brigham and Women's Hospital

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Neal K. Lakdawala

Brigham and Women's Hospital

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