@article {372, title = {Homozygous and hemizygous CNV detection from exome sequencing data in a Mendelian disease cohort.}, journal = {Nucleic Acids Res}, volume = {45}, year = {2017}, month = {2017 02 28}, pages = {1633-1648}, abstract = {

We developed an algorithm, HMZDelFinder, that uses whole exome sequencing (WES) data to identify rare and intragenic homozygous and hemizygous (HMZ) deletions that may represent complete loss-of-function of the indicated gene. HMZDelFinder was applied to 4866 samples in the Baylor-Hopkins Center for Mendelian Genomics (BHCMG) cohort and detected 773 HMZ deletion calls (567 homozygous or 206 hemizygous) with an estimated sensitivity of 86.5\% (82\% for single-exonic and 88\% for multi-exonic calls) and precision of 78\% (53\% single-exonic and 96\% for multi-exonic calls). Out of 773 HMZDelFinder-detected deletion calls, 82 were subjected to array comparative genomic hybridization (aCGH) and/or breakpoint PCR and 64 were confirmed. These include 18 single-exon deletions out of which 8 were exclusively detected by HMZDelFinder and not by any of seven other CNV detection tools examined. Further investigation of the 64 validated deletion calls revealed at least 15 pathogenic HMZ deletions. Of those, 7 accounted for 17-50\% of pathogenic CNVs in different disease cohorts where 7.1-11\% of the molecular diagnosis solved rate was attributed to CNVs. In summary, we present an algorithm to detect rare, intragenic, single-exon deletion CNVs using WES data; this tool can be useful for disease gene discovery efforts and clinical WES analyses.

}, keywords = {Algorithms, Alternative Splicing, Cohort Studies, Computational Biology, Consanguinity, Datasets as Topic, DNA Copy Number Variations, Exome, Genetic Diseases, Inborn, Hemizygote, High-Throughput Nucleotide Sequencing, Homozygote, Humans, Inheritance Patterns, Models, Genetic, Pedigree, Reproducibility of Results, Sequence Deletion, Workflow}, issn = {1362-4962}, doi = {10.1093/nar/gkw1237}, author = {Gambin, Tomasz and Akdemir, Zeynep C and Yuan, Bo and Gu, Shen and Chiang, Theodore and Carvalho, Claudia M B and Shaw, Chad and Jhangiani, Shalini and Boone, Philip M and Eldomery, Mohammad K and Karaca, Ender and Bayram, Yavuz and Stray-Pedersen, Asbj{\o}rg and Muzny, Donna and Charng, Wu-Lin and Bahrambeigi, Vahid and Belmont, John W and Boerwinkle, Eric and Beaudet, Arthur L and Gibbs, Richard A and Lupski, James R} } @article {27, title = {Primary immunodeficiency diseases: Genomic approaches delineate heterogeneous Mendelian disorders.}, journal = {J Allergy Clin Immunol}, volume = {139}, year = {2017}, month = {2017 Jan}, pages = {232-245}, abstract = {

BACKGROUND: Primary immunodeficiency diseases (PIDDs) are clinically and genetically heterogeneous disorders thus far associated with mutations in more than 300 genes. The clinical phenotypes derived from distinct genotypes can overlap. Genetic etiology can be a prognostic indicator of disease severity and can influence treatment decisions.

OBJECTIVE: We sought to investigate the ability of whole-exome screening methods to detect disease-causing variants in patients with PIDDs.

METHODS: Patients with PIDDs from 278 families from 22 countries were investigated by using whole-exome sequencing. Computational copy number variant (CNV) prediction pipelines and an exome-tiling chromosomal microarray were also applied to identify intragenic CNVs. Analytic approaches initially focused on 475 known or candidate PIDD genes but were nonexclusive and further tailored based on clinical data, family history, and immunophenotyping.

RESULTS: A likely molecular diagnosis was achieved in 110 (40\%) unrelated probands. Clinical diagnosis was revised in about half (60/110) and management was directly altered in nearly a quarter (26/110) of families based on molecular findings. Twelve PIDD-causing CNVs were detected, including 7 smaller than 30~Kb that would not have been detected with conventional diagnostic CNV arrays.

CONCLUSION: This high-throughput genomic approach enabled detection of disease-related variants in unexpected genes; permitted detection of low-grade constitutional, somatic, and revertant mosaicism; and provided evidence of a mutational burden in mixed PIDD immunophenotypes.

}, keywords = {Adolescent, Adult, Aged, Child, Child, Preschool, DNA Copy Number Variations, Female, Genomics, High-Throughput Nucleotide Sequencing, Humans, Immunologic Deficiency Syndromes, Infant, Male, Middle Aged, Young Adult}, issn = {1097-6825}, doi = {10.1016/j.jaci.2016.05.042}, author = {Stray-Pedersen, Asbj{\o}rg and Sorte, Hanne S{\o}rmo and Samarakoon, Pubudu and Gambin, Tomasz and Chinn, Ivan K and Coban Akdemir, Zeynep H and Erichsen, Hans Christian and Forbes, Lisa R and Gu, Shen and Yuan, Bo and Jhangiani, Shalini N and Muzny, Donna M and R{\o}dningen, Olaug Kristin and Sheng, Ying and Nicholas, Sarah K and Noroski, Lenora M and Seeborg, Filiz O and Davis, Carla M and Canter, Debra L and Mace, Emily M and Vece, Timothy J and Allen, Carl E and Abhyankar, Harshal A and Boone, Philip M and Beck, Christine R and Wiszniewski, Wojciech and Fevang, B{\o}rre and Aukrust, P{\r a}l and Tj{\o}nnfjord, Geir E and Gedde-Dahl, Tobias and Hjorth-Hansen, Henrik and Dybedal, Ingunn and Nord{\o}y, Ingvild and J{\o}rgensen, Silje F and Abrahamsen, Tore G and {\O}verland, Torstein and Bechensteen, Anne Grete and Skogen, Vegard and Osnes, Liv T N and Kulseth, Mari Ann and Prescott, Trine E and Rustad, Cecilie F and Heimdal, Ketil R and Belmont, John W and Rider, Nicholas L and Chinen, Javier and Cao, Tram N and Smith, Eric A and Caldirola, Maria Soledad and Bezrodnik, Liliana and Lugo Reyes, Saul Oswaldo and Espinosa Rosales, Francisco J and Guerrero-Cursaru, Nina Denisse and Pedroza, Luis Alberto and Poli, Cecilia M and Franco, Jose L and Trujillo Vargas, Claudia M and Aldave Becerra, Juan Carlos and Wright, Nicola and Issekutz, Thomas B and Issekutz, Andrew C and Abbott, Jordan and Caldwell, Jason W and Bayer, Diana K and Chan, Alice Y and Aiuti, Alessandro and Cancrini, Caterina and Holmberg, Eva and West, Christina and Burstedt, Magnus and Karaca, Ender and Yesil, G{\"o}zde and Artac, Hasibe and Bayram, Yavuz and Atik, Mehmed Musa and Eldomery, Mohammad K and Ehlayel, Mohammad S and Jolles, Stephen and Flat{\o}, Berit and Bertuch, Alison A and Hanson, I Celine and Zhang, Victor W and Wong, Lee-Jun and Hu, Jianhong and Walkiewicz, Magdalena and Yang, Yaping and Eng, Christine M and Boerwinkle, Eric and Gibbs, Richard A and Shearer, William T and Lyle, Robert and Orange, Jordan S and Lupski, James R} } @article {339, title = {Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation.}, journal = {N Engl J Med}, volume = {376}, year = {2017}, month = {2017 01 05}, pages = {21-31}, abstract = {

BACKGROUND: Whole-exome sequencing can provide insight into the relationship between observed clinical phenotypes and underlying genotypes.

METHODS: We conducted a retrospective analysis of data from a series of 7374 consecutive unrelated patients who had been referred to a clinical diagnostic laboratory for whole-exome sequencing; our goal was to determine the frequency and clinical characteristics of patients for whom more than one molecular diagnosis was reported. The phenotypic similarity between molecularly diagnosed pairs of diseases was calculated with the use of terms from the Human Phenotype Ontology.

RESULTS: A molecular diagnosis was rendered for 2076 of 7374 patients (28.2\%); among these patients, 101 (4.9\%) had diagnoses that involved two or more disease loci. We also analyzed parental samples, when available, and found that de novo variants accounted for 67.8\% (61 of 90) of pathogenic variants in autosomal dominant disease genes and 51.7\% (15 of 29) of pathogenic variants in X-linked disease genes; both variants were de novo in 44.7\% (17 of 38) of patients with two monoallelic variants. Causal copy-number variants were found in 12 patients (11.9\%) with multiple diagnoses. Phenotypic similarity scores were significantly lower among patients in whom the phenotype resulted from two distinct mendelian disorders that affected different organ systems (50 patients) than among patients with disorders that had overlapping phenotypic features (30 patients) (median score, 0.21 vs. 0.36; P=1.77{\texttimes}10).

CONCLUSIONS: In our study, we found multiple molecular diagnoses in 4.9\% of cases in which whole-exome sequencing was informative. Our results show that structured clinical ontologies can be used to determine the degree of overlap between two mendelian diseases in the same patient; the diseases can be distinct or overlapping. Distinct disease phenotypes affect different organ systems, whereas overlapping disease phenotypes are more likely to be caused by two genes encoding proteins that interact within the same pathway. (Funded by the National Institutes of Health and the Ting Tsung and Wei Fong Chao Foundation.).

}, keywords = {Exome, Genetic Diseases, Inborn, Genetic Variation, Genotyping Techniques, High-Throughput Nucleotide Sequencing, Humans, Phenotype, Retrospective Studies, Sequence Analysis, DNA}, issn = {1533-4406}, doi = {10.1056/NEJMoa1516767}, author = {Posey, Jennifer E and Harel, Tamar and Liu, Pengfei and Rosenfeld, Jill A and James, Regis A and Coban Akdemir, Zeynep H and Walkiewicz, Magdalena and Bi, Weimin and Xiao, Rui and Ding, Yan and Xia, Fan and Beaudet, Arthur L and Muzny, Donna M and Gibbs, Richard A and Boerwinkle, Eric and Eng, Christine M and Sutton, V Reid and Shaw, Chad A and Plon, Sharon E and Yang, Yaping and Lupski, James R} } @article {39, title = {Exome sequencing in mostly consanguineous Arab families with neurologic disease provides a high potential molecular diagnosis rate.}, journal = {BMC Med Genomics}, volume = {9}, year = {2016}, month = {2016 Jul 19}, pages = {42}, abstract = {

BACKGROUND: Neurodevelopment is orchestrated by a wide range of genes, and the genetic causes of neurodevelopmental disorders are thus heterogeneous. We applied whole exome sequencing (WES) for molecular diagnosis and in silico analysis to identify novel disease gene candidates in a cohort from Saudi Arabia with primarily Mendelian neurologic diseases.

METHODS: We performed WES in 31 mostly consanguineous Arab families and analyzed both single nucleotide and copy number variants (CNVs) from WES data. Interaction/expression network and pathway analyses, as well as paralog studies were utilized to investigate potential pathogenicity and disease association of novel candidate genes. Additional cases for candidate genes were identified through the clinical WES database at Baylor Miraca Genetics Laboratories and GeneMatcher.

RESULTS: We found known pathogenic or novel variants in known disease genes with phenotypic expansion in 6 families, disease-associated CNVs in 2 families, and 12 novel disease gene candidates in 11 families, including KIF5B, GRM7, FOXP4, MLLT1, and KDM2B. Overall, a potential molecular diagnosis was provided by variants in known disease genes in 17 families (54.8~\%) and by novel candidate disease genes in an additional 11 families, making the potential molecular diagnostic rate ~90~\%.

CONCLUSIONS: Molecular diagnostic rate from WES is improved by exome-predicted CNVs. Novel candidate disease gene discovery is facilitated by paralog studies and through the use of informatics tools and available databases to identify additional evidence for pathogenicity.

TRIAL REGISTRATION: Not applicable.

}, keywords = {Arabs, Cohort Studies, Consanguinity, Data Mining, Databases, Genetic, DNA Copy Number Variations, Exome, Female, High-Throughput Nucleotide Sequencing, Humans, Male, Molecular Diagnostic Techniques, Nervous System Diseases, Pedigree, Phenotype, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1755-8794}, doi = {10.1186/s12920-016-0208-3}, author = {Charng, Wu-Lin and Karaca, Ender and Coban Akdemir, Zeynep and Gambin, Tomasz and Atik, Mehmed M and Gu, Shen and Posey, Jennifer E and Jhangiani, Shalini N and Muzny, Donna M and Doddapaneni, Harsha and Hu, Jianhong and Boerwinkle, Eric and Gibbs, Richard A and Rosenfeld, Jill A and Cui, Hong and Xia, Fan and Manickam, Kandamurugu and Yang, Yaping and Faqeih, Eissa A and Al Asmari, Ali and Saleh, Mohammed A M and El-Hattab, Ayman W and Lupski, James R} } @article {373, title = {Identification of Rare Variants in Metabolites of the Carnitine Pathway by Whole Genome Sequencing Analysis.}, journal = {Genet Epidemiol}, volume = {40}, year = {2016}, month = {2016 09}, pages = {486-91}, abstract = {

We use whole genome sequence data and rare variant analysis methods to investigate a subset of the human serum metabolome, including 16 carnitine-related metabolites that are important components of mammalian energy metabolism. Medium pass sequence data consisting of 12,820,347 rare variants and serum metabolomics data were available on 1,456 individuals. By applying a penalization method, we identified two genes FGF8 and MDGA2 with significant effects on lysine and cis-4-decenoylcarnitine, respectively, using Δ-AIC and likelihood ratio test statistics. Single variant analyses in these regions did not identify a single low-frequency variant (minor allele count > 3) responsible for the underlying signal. The results demonstrate the utility of whole genome sequence and innovative analyses for identifying candidate regions influencing complex phenotypes.

}, keywords = {Biomarkers, Carnitine, Female, Fibroblast Growth Factor 8, Genetic Variation, GPI-Linked Proteins, High-Throughput Nucleotide Sequencing, Humans, Linkage Disequilibrium, Lysine, Male, Metabolomics, Middle Aged, Neural Cell Adhesion Molecules, Polymorphism, Single Nucleotide, Sequence Analysis, DNA}, issn = {1098-2272}, doi = {10.1002/gepi.21980}, author = {Yazdani, Akram and Yazdani, Azam and Liu, Xiaoming and Boerwinkle, Eric} } @article {25, title = {Loss-of-function variants influence the human serum metabolome.}, journal = {Sci Adv}, volume = {2}, year = {2016}, month = {2016 Aug}, pages = {e1600800}, abstract = {

The metabolome is a collection of small molecules resulting from multiple cellular and biological processes that can act as biomarkers of disease, and African-Americans exhibit high levels of genetic diversity. Exome sequencing of a sample of deeply phenotyped African-Americans allowed us to analyze the effects of annotated loss-of-function (LoF) mutations on 308 serum metabolites measured by untargeted liquid and gas chromatography coupled with mass spectrometry. In an independent sample, we identified and replicated four genes harboring six LoF mutations that significantly affected five metabolites. These sites were related to a 19 to 45\% difference in geometric mean metabolite levels, with an average effect size of 25\%. We show that some of the affected metabolites are risk predictors or diagnostic biomarkers of disease and, using the principle of Mendelian randomization, are in the causal pathway of disease. For example, LoF mutations in SLCO1B1 elevate the levels of hexadecanedioate, a fatty acid significantly associated with increased blood pressure levels and risk of incident heart failure in both African-Americans and an independent sample of European-Americans. We show that SLCO1B1 LoF mutations significantly increase the risk of incident heart failure, thus implicating the metabolite in the causal pathway of disease. These results reveal new avenues into gene function and the understanding of disease etiology by integrating -omic technologies into a deeply phenotyped population study.

}, keywords = {Aged, Biomarkers, Black or African American, Exome, Female, Genetic Variation, Heart Failure, High-Throughput Nucleotide Sequencing, Humans, Hypertension, Liver-Specific Organic Anion Transporter 1, Male, Metabolome, Middle Aged, Mutation, Risk Factors, White People}, issn = {2375-2548}, doi = {10.1126/sciadv.1600800}, author = {Yu, Bing and Li, Alexander H and Metcalf, Ginger A and Muzny, Donna M and Morrison, Alanna C and White, Simon and Mosley, Thomas H and Gibbs, Richard A and Boerwinkle, Eric} } @article {110, title = {Molecular diagnostic experience of whole-exome sequencing in adult patients.}, journal = {Genet Med}, volume = {18}, year = {2016}, month = {2016 07}, pages = {678-85}, abstract = {

PURPOSE: Whole-exome sequencing (WES) is increasingly used as a diagnostic tool in medicine, but prior reports focus on predominantly pediatric cohorts with neurologic or developmental disorders. We describe the diagnostic yield and characteristics of WES in adults.

METHODS: We performed a retrospective analysis of consecutive WES reports for adults from a diagnostic laboratory. Phenotype composition was determined using Human Phenotype Ontology terms.

RESULTS: Molecular diagnoses were reported for 17.5\% (85/486) of adults, which is lower than that for a primarily pediatric population (25.2\%; P = 0.0003); the diagnostic rate was higher (23.9\%) for those 18-30 years of age compared to patients older than 30 years (10.4\%; P = 0.0001). Dual Mendelian diagnoses contributed to 7\% of diagnoses, revealing blended phenotypes. Diagnoses were more frequent among individuals with abnormalities of the nervous system, skeletal system, head/neck, and growth. Diagnostic rate was independent of family history information, and de novo mutations contributed to 61.4\% of autosomal dominant diagnoses.

CONCLUSION: Early WES experience in adults demonstrates molecular diagnoses in a substantial proportion of patients, informing clinical management, recurrence risk, and recommendations for relatives. A positive family history was not predictive, consistent with molecular diagnoses often revealed by de novo events, informing the Mendelian basis of genetic disease in adults.Genet Med 18 7, 678-685.

}, keywords = {Adult, Exome, Female, Genetic Diseases, Inborn, Genetic Predisposition to Disease, Genetic Testing, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Pathology, Molecular}, issn = {1530-0366}, doi = {10.1038/gim.2015.142}, author = {Posey, Jennifer E and Rosenfeld, Jill A and James, Regis A and Bainbridge, Matthew and Niu, Zhiyv and Wang, Xia and Dhar, Shweta and Wiszniewski, Wojciech and Akdemir, Zeynep H C and Gambin, Tomasz and Xia, Fan and Person, Richard E and Walkiewicz, Magdalena and Shaw, Chad A and Sutton, V Reid and Beaudet, Arthur L and Muzny, Donna and Eng, Christine M and Yang, Yaping and Gibbs, Richard A and Lupski, James R and Boerwinkle, Eric and Plon, Sharon E} } @article {176, title = {PacBio-LITS: a large-insert targeted sequencing method for characterization of human disease-associated chromosomal structural variations.}, journal = {BMC Genomics}, volume = {16}, year = {2015}, month = {2015 Mar 19}, pages = {214}, abstract = {

BACKGROUND: Generation of long (>5 Kb) DNA sequencing reads provides an approach for interrogation of complex regions in the human genome. Currently, large-insert whole genome sequencing (WGS) technologies from Pacific Biosciences (PacBio) enable analysis of chromosomal structural variations (SVs), but the cost to achieve the required sequence coverage across the entire human genome is high.

RESULTS: We developed a method (termed PacBio-LITS) that combines oligonucleotide-based DNA target-capture enrichment technologies with PacBio large-insert library preparation to facilitate SV studies at specific chromosomal regions. PacBio-LITS provides deep sequence coverage at the specified sites at substantially reduced cost compared with PacBio WGS. The efficacy of PacBio-LITS is illustrated by delineating the breakpoint junctions of low copy repeat (LCR)-associated complex structural rearrangements on chr17p11.2 in patients diagnosed with Potocki-Lupski syndrome (PTLS; MIM$\#$610883). We successfully identified previously determined breakpoint junctions in three PTLS cases, and also were able to discover novel junctions in repetitive sequences, including LCR-mediated breakpoints. The new information has enabled us to propose mechanisms for formation of these structural variants.

CONCLUSIONS: The new method leverages the cost efficiency of targeted capture-sequencing as well as the mappability and scaffolding capabilities of long sequencing reads generated by the PacBio platform. It is therefore suitable for studying complex SVs, especially those involving LCRs, inversions, and the generation of chimeric Alu elements at the breakpoints. Other genomic research applications, such as haplotype phasing and small insertion and deletion validation could also benefit from this technology.

}, keywords = {Chromosome Aberrations, Gene Library, Gene Rearrangement, Genetic Association Studies, Genomics, High-Throughput Nucleotide Sequencing, Humans, Workflow}, issn = {1471-2164}, doi = {10.1186/s12864-015-1370-2}, author = {Wang, Min and Beck, Christine R and English, Adam C and Meng, Qingchang and Buhay, Christian and Han, Yi and Doddapaneni, Harsha V and Yu, Fuli and Boerwinkle, Eric and Lupski, James R and Muzny, Donna M and Gibbs, Richard A} } @article {270, title = {Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline.}, journal = {BMC Bioinformatics}, volume = {15}, year = {2014}, month = {2014 Jan 29}, pages = {30}, abstract = {

BACKGROUND: Massively parallel DNA sequencing generates staggering amounts of data. Decreasing cost, increasing throughput, and improved annotation have expanded the diversity of genomics applications in research and clinical practice. This expanding scale creates analytical challenges: accommodating peak compute demand, coordinating secure access for multiple analysts, and sharing validated tools and results.

RESULTS: To address these challenges, we have developed the Mercury analysis pipeline and deployed it in local hardware and the Amazon Web Services cloud via the DNAnexus platform. Mercury is an automated, flexible, and extensible analysis workflow that provides accurate and reproducible genomic results at scales ranging from individuals to large cohorts.

CONCLUSIONS: By taking advantage of cloud computing and with Mercury implemented on the DNAnexus platform, we have demonstrated a powerful combination of a robust and fully validated software pipeline and a scalable computational resource that, to date, we have applied to more than 10,000 whole genome and whole exome samples.

}, keywords = {Genome, Genomics, High-Throughput Nucleotide Sequencing, Humans, Internet, Software}, issn = {1471-2105}, doi = {10.1186/1471-2105-15-30}, author = {Reid, Jeffrey G and Carroll, Andrew and Veeraraghavan, Narayanan and Dahdouli, Mahmoud and Sundquist, Andreas and English, Adam and Bainbridge, Matthew and White, Simon and Salerno, William and Buhay, Christian and Yu, Fuli and Muzny, Donna and Daly, Richard and Duyk, Geoff and Gibbs, Richard A and Boerwinkle, Eric} } @article {325, title = {The Centers for Mendelian Genomics: a new large-scale initiative to identify the genes underlying rare Mendelian conditions.}, journal = {Am J Med Genet A}, volume = {158A}, year = {2012}, month = {2012 Jul}, pages = {1523-5}, abstract = {

Next generation exome sequencing (ES) and whole genome sequencing (WGS) are new powerful tools for discovering the gene(s) that underlie Mendelian disorders. To accelerate these discoveries, the National Institutes of Health has established three Centers for Mendelian Genomics (CMGs): the Center for Mendelian Genomics at the University of Washington; the Center for Mendelian Genomics at Yale University; and the Baylor-Johns Hopkins Center for Mendelian Genomics at Baylor College of Medicine and Johns Hopkins University. The CMGs will provide ES/WGS and extensive analysis expertise at no cost to collaborating investigators where the causal gene(s) for a Mendelian phenotype has yet to be uncovered. Over the next few years and in collaboration with the global human genetics community, the CMGs hope to facilitate the identification of the genes underlying a very large fraction of all Mendelian disorders; see http://mendelian.org.

}, keywords = {Academies and Institutes, Genetic Diseases, Inborn, Genetics, Medical, Genome, Human, Genome-Wide Association Study, Genomics, High-Throughput Nucleotide Sequencing, Humans}, issn = {1552-4833}, doi = {10.1002/ajmg.a.35470}, author = {Bamshad, Michael J and Shendure, Jay A and Valle, David and Hamosh, Ada and Lupski, James R and Gibbs, Richard A and Boerwinkle, Eric and Lifton, Richard P and Gerstein, Mark and G{\"u}nel, Murat and Mane, Shrikant and Nickerson, Deborah A} }