@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 {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 {75, title = {Monoallelic and Biallelic Variants in EMC1 Identified in Individuals with Global Developmental Delay, Hypotonia, Scoliosis, and Cerebellar Atrophy.}, journal = {Am J Hum Genet}, volume = {98}, year = {2016}, month = {2016 Mar 03}, pages = {562-570}, abstract = {

The paradigm of a single gene associated with one specific phenotype and mode of inheritance has been repeatedly challenged. Genotype-phenotype correlations can often be traced to different mutation types, localization of the variants in distinct protein domains, or the trigger of or escape from nonsense-mediated decay. Using whole-exome sequencing, we identified homozygous variants in EMC1 that segregated with a phenotype of developmental delay, hypotonia, scoliosis, and cerebellar atrophy in three families. In addition, a de novo heterozygous EMC1 variant was seen in an individual with a similar clinical and MRI imaging phenotype. EMC1 encodes a member of the endoplasmic reticulum (ER)-membrane protein complex (EMC), an evolutionarily conserved complex that has been proposed to have multiple roles in ER-associated degradation, ER-mitochondria tethering, and proper assembly of multi-pass transmembrane proteins. Perturbations of protein folding and organelle crosstalk have been implicated in neurodegenerative processes including cerebellar atrophy. We propose EMC1 as a gene in which either biallelic or monoallelic variants might lead to a syndrome including intellectual disability and preferential degeneration of the cerebellum.

}, keywords = {Adolescent, Alleles, Amino Acid Sequence, Atrophy, Cerebellum, Child, Child, Preschool, Developmental Disabilities, Endoplasmic Reticulum-Associated Degradation, Female, Genetic Association Studies, Genetic Variation, Heterozygote, Humans, Magnetic Resonance Imaging, Male, Molecular Sequence Data, Muscle Hypotonia, Mutation, Pedigree, Protein Folding, Proteins, Scoliosis}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.01.011}, author = {Harel, Tamar and Yesil, G{\"o}zde and Bayram, Yavuz and Coban-Akdemir, Zeynep and Charng, Wu-Lin and Karaca, Ender and Al Asmari, Ali and Eldomery, Mohammad K and Hunter, Jill V and Jhangiani, Shalini N and Rosenfeld, Jill A and Pehlivan, Davut and El-Hattab, Ayman W and Saleh, Mohammed A and LeDuc, Charles A and Muzny, Donna and Boerwinkle, Eric and Gibbs, Richard A and Chung, Wendy K and Yang, Yaping and Belmont, John W and Lupski, James R} } @article {115, title = {Whole-Exome Sequencing in Familial Parkinson Disease.}, journal = {JAMA Neurol}, volume = {73}, year = {2016}, month = {2016 Jan}, pages = {68-75}, abstract = {

IMPORTANCE: Parkinson disease (PD) is a progressive neurodegenerative disease for which susceptibility is linked to genetic and environmental risk factors.

OBJECTIVE: To identify genetic variants contributing to disease risk in familial PD.

DESIGN, SETTING, AND PARTICIPANTS: A 2-stage study design that included a discovery cohort of families with PD and a replication cohort of familial probands was used. In the discovery cohort, rare exonic variants that segregated in multiple affected individuals in a family and were predicted to be conserved or damaging were retained. Genes with retained variants were prioritized if expressed in the brain and located within PD-relevant pathways. Genes in which prioritized variants were observed in at least 4 families were selected as candidate genes for replication in the replication cohort. The setting was among individuals with familial PD enrolled from academic movement disorder specialty clinics across the United States. All participants had a family history of PD.

MAIN OUTCOMES AND MEASURES: Identification of genes containing rare, likely deleterious, genetic variants in individuals with familial PD using a 2-stage exome sequencing study design.

RESULTS: The 93 individuals from 32 families in the discovery cohort (49.5\% [46 of 93] female) had a mean (SD) age at onset of 61.8 (10.0) years. The 49 individuals with familial PD in the replication cohort (32.6\% [16 of 49] female) had a mean (SD) age at onset of 50.1 (15.7) years. Discovery cohort recruitment dates were 1999 to 2009, and replication cohort recruitment dates were 2003 to 2014. Data analysis dates were 2011 to 2015. Three genes containing a total of 13 rare and potentially damaging variants were prioritized in the discovery cohort. Two of these genes (TNK2 and TNR) also had rare variants that were predicted to be damaging in the replication cohort. All 9 variants identified in the 2 replicated genes in 12 families across the discovery and replication cohorts were confirmed via Sanger sequencing.

CONCLUSIONS AND RELEVANCE: TNK2 and TNR harbored rare, likely deleterious, variants in individuals having familial PD, with similar findings in an independent cohort. To our knowledge, these genes have not been previously associated with PD, although they have been linked to critical neuronal functions. Further studies are required to confirm a potential role for these genes in the pathogenesis of PD.

}, keywords = {Adult, Aged, Cohort Studies, Exome, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Male, Middle Aged, Parkinsonian Disorders, Protein-Tyrosine Kinases, Sequence Analysis, DNA, Tenascin}, issn = {2168-6157}, doi = {10.1001/jamaneurol.2015.3266}, author = {Farlow, Janice L and Robak, Laurie A and Hetrick, Kurt and Bowling, Kevin and Boerwinkle, Eric and Coban-Akdemir, Zeynep H and Gambin, Tomasz and Gibbs, Richard A and Gu, Shen and Jain, Preti and Jankovic, Joseph and Jhangiani, Shalini and Kaw, Kaveeta and Lai, Dongbing and Lin, Hai and Ling, Hua and Liu, Yunlong and Lupski, James R and Muzny, Donna and Porter, Paula and Pugh, Elizabeth and White, Janson and Doheny, Kimberly and Myers, Richard M and Shulman, Joshua M and Foroud, Tatiana} } @article {135, title = {Exome Sequence Analysis Suggests that Genetic Burden Contributes to Phenotypic Variability and Complex Neuropathy.}, journal = {Cell Rep}, volume = {12}, year = {2015}, month = {2015 Aug 18}, pages = {1169-83}, abstract = {

Charcot-Marie-Tooth (CMT) disease is a clinically and genetically heterogeneous distal symmetric polyneuropathy. Whole-exome sequencing (WES) of 40 individuals from 37 unrelated families with CMT-like peripheral neuropathy refractory to molecular diagnosis identified apparent causal mutations in \~{} 45\% (17/37) of families. Three candidate disease genes are proposed, supported by a combination of genetic and in vivo studies. Aggregate analysis of mutation data revealed a significantly increased number of rare variants across 58 neuropathy-associated genes in subjects versus controls, confirmed in a second ethnically discrete neuropathy cohort, suggesting that mutation burden potentially contributes to phenotypic variability. Neuropathy genes shown to have highly penetrant Mendelizing variants (HPMVs) and implicated by burden in families were shown to interact genetically in a zebrafish assay exacerbating the phenotype established by the suppression of single genes. Our findings suggest that the combinatorial effect of rare variants contributes to disease burden and variable expressivity.

}, keywords = {Animals, Charcot-Marie-Tooth Disease, Exome, Female, Genetic Load, Genetic Variation, HSP40 Heat-Shock Proteins, Humans, Male, Mutation, Myelin P2 Protein, Pedigree, Penetrance, Peripheral Nervous System Diseases, Phenotype, Serine C-Palmitoyltransferase, Suppression, Genetic, Zebrafish}, issn = {2211-1247}, doi = {10.1016/j.celrep.2015.07.023}, author = {Gonzaga-Jauregui, Claudia and Harel, Tamar and Gambin, Tomasz and Kousi, Maria and Griffin, Laurie B and Francescatto, Ludmila and Ozes, Burcak and Karaca, Ender and Jhangiani, Shalini N and Bainbridge, Matthew N and Lawson, Kim S and Pehlivan, Davut and Okamoto, Yuji and Withers, Marjorie and Mancias, Pedro and Slavotinek, Anne and Reitnauer, Pamela J and Goksungur, Meryem T and Shy, Michael and Crawford, Thomas O and Koenig, Michel and Willer, Jason and Flores, Brittany N and Pediaditrakis, Igor and Us, Onder and Wiszniewski, Wojciech and Parman, Yesim and Antonellis, Anthony and Muzny, Donna M and Katsanis, Nicholas and Battaloglu, Esra and Boerwinkle, Eric and Gibbs, Richard A and Lupski, James R} } @article {121, title = {Genes that Affect Brain Structure and Function Identified by Rare Variant Analyses of Mendelian Neurologic Disease.}, journal = {Neuron}, volume = {88}, year = {2015}, month = {2015 Nov 04}, pages = {499-513}, abstract = {

Development of the human nervous system involves complex interactions among fundamental cellular processes and requires a multitude of genes, many of which remain to be associated with human disease. We applied whole exome sequencing to 128 mostly consanguineous families with neurogenetic disorders that often included brain malformations. Rare variant analyses for both single nucleotide variant (SNV) and copy number variant (CNV) alleles allowed for identification of 45 novel variants in 43 known disease genes, 41 candidate genes, and CNVs in 10 families, with an overall potential molecular cause identified in >85\% of families studied. Among the candidate genes identified, we found PRUNE, VARS, and DHX37 in multiple families and homozygous loss-of-function variants in AGBL2, SLC18A2, SMARCA1, UBQLN1, and CPLX1. Neuroimaging and in silico analysis of functional and expression proximity between candidate and known disease genes allowed for further understanding of genetic networks underlying specific types of brain malformations.

}, keywords = {Brain, Cohort Studies, Databases, Genetic, Female, Gene Regulatory Networks, Genetic Association Studies, Genetic Variation, Humans, Male, Mendelian Randomization Analysis, Nervous System Diseases, Pedigree}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.09.048}, author = {Karaca, Ender and Harel, Tamar and Pehlivan, Davut and Jhangiani, Shalini N and Gambin, Tomasz and Coban Akdemir, Zeynep and Gonzaga-Jauregui, Claudia and Erdin, Serkan and Bayram, Yavuz and Campbell, Ian M and Hunter, Jill V and Atik, Mehmed M and Van Esch, Hilde and Yuan, Bo and Wiszniewski, Wojciech and Isikay, Sedat and Yesil, G{\"o}zde and Yuregir, Ozge O and Tug Bozdogan, Sevcan and Aslan, Huseyin and Aydin, Hatip and Tos, Tulay and Aksoy, Ayse and De Vivo, Darryl C and Jain, Preti and Geckinli, B Bilge and Sezer, Ozlem and Gul, Davut and Durmaz, Burak and Cogulu, Ozgur and Ozkinay, Ferda and Topcu, Vehap and Candan, Sukru and Cebi, Alper Han and Ikbal, Mevlit and Yilmaz Gulec, Elif and Gezdirici, Alper and Koparir, Erkan and Ekici, Fatma and Coskun, Salih and Cicek, Salih and Karaer, Kadri and Koparir, Asuman and Duz, Mehmet Bugrahan and Kirat, Emre and Fenercioglu, Elif and Ulucan, Hakan and Seven, Mehmet and Guran, Tulay and Elcioglu, Nursel and Yildirim, Mahmut Selman and Aktas, Dilek and Alika{\c s}ifo{\u g}lu, Mehmet and Ture, Mehmet and Yakut, Tahsin and Overton, John D and Yuksel, Adnan and Ozen, Mustafa and Muzny, Donna M and Adams, David R and Boerwinkle, Eric and Chung, Wendy K and Gibbs, Richard A and Lupski, James R} } @article {331, title = {Clan genomics and the complex architecture of human disease.}, journal = {Cell}, volume = {147}, year = {2011}, month = {2011 Sep 30}, pages = {32-43}, abstract = {

Human diseases are caused by alleles that encompass the full range of variant types, from single-nucleotide changes to copy-number variants, and these variations span a broad frequency spectrum, from the very rare to the common. The picture emerging from analysis of whole-genome sequences, the 1000 Genomes Project pilot studies, and targeted genomic sequencing derived from very large sample sizes reveals an abundance of rare and private variants. One implication of this realization is that recent mutation may have a greater influence on disease susceptibility or protection than is conferred by variations that arose in distant ancestors.

}, keywords = {Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome, Human, Genomics, Humans, Pedigree, Pilot Projects, Precision Medicine}, issn = {1097-4172}, doi = {10.1016/j.cell.2011.09.008}, author = {Lupski, James R and Belmont, John W and Boerwinkle, Eric and Gibbs, Richard A} }