Search

Your search keyword '"Novod, Sam"' showing total 12 results
Start Over Author "Novod, Sam"
Sorry, I don't understand your search. ×
12 results on '"Novod, Sam"'

1. A genomic mutational constraint map using variation in 76,156 human genomes

Author

Chen, Siwei, Francioli, Laurent C., Goodrich, Julia K., Collins, Ryan L., Kanai, Masahiro, Wang, Qingbo, Alföldi, Jessica, Watts, Nicholas A., Vittal, Christopher, Gauthier, Laura D., Poterba, Timothy, Wilson, Michael W., Tarasova, Yekaterina, Phu, William, Grant, Riley, Yohannes, Mary T., Koenig, Zan, Farjoun, Yossi, Banks, Eric, Donnelly, Stacey, Gabriel, Stacey, Gupta, Namrata, Ferriera, Steven, Tolonen, Charlotte, Novod, Sam, Bergelson, Louis, Roazen, David, Ruano-Rubio, Valentin, Covarrubias, Miguel, Llanwarne, Christopher, Petrillo, Nikelle, Wade, Gordon, Jeandet, Thibault, Munshi, Ruchi, Tibbetts, Kathleen, O’Donnell-Luria, Anne, Solomonson, Matthew, Seed, Cotton, Martin, Alicia R., Talkowski, Michael E., Rehm, Heidi L., Daly, Mark J., Tiao, Grace, Neale, Benjamin M., MacArthur, Daniel G., and Karczewski, Konrad J.

Published
2024
Full Text
View/download PDF

2. Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes

Author

Chen, Siwei, Francioli, Laurent C., Goodrich, Julia K., Collins, Ryan L., Kanai, Masahiro, Wang, Qingbo, Alföldi, Jessica, Watts, Nicholas A., Vittal, Christopher, Gauthier, Laura D., Poterba, Timothy, Wilson, Michael W., Tarasova, Yekaterina, Phu, William, Grant, Riley, Yohannes, Mary T., Koenig, Zan, Farjoun, Yossi, Banks, Eric, Donnelly, Stacey, Gabriel, Stacey, Gupta, Namrata, Ferriera, Steven, Tolonen, Charlotte, Novod, Sam, Bergelson, Louis, Roazen, David, Ruano-Rubio, Valentin, Covarrubias, Miguel, Llanwarne, Christopher, Petrillo, Nikelle, Wade, Gordon, Jeandet, Thibault, Munshi, Ruchi, Tibbetts, Kathleen, O’Donnell-Luria, Anne, Solomonson, Matthew, Seed, Cotton, Martin, Alicia R., Talkowski, Michael E., Rehm, Heidi L., Daly, Mark J., Tiao, Grace, Neale, Benjamin M., MacArthur, Daniel G., and Karczewski, Konrad J.

Published
2024
Full Text
View/download PDF

3. The mutational constraint spectrum quantified from variation in 141,456 humans

Author

Karczewski, Konrad J., Francioli, Laurent C., Tiao, Grace, Cummings, Beryl B., Alföldi, Jessica, Wang, Qingbo, Collins, Ryan L., Laricchia, Kristen M., Ganna, Andrea, Birnbaum, Daniel P., Gauthier, Laura D., Brand, Harrison, Solomonson, Matthew, Watts, Nicholas A., Rhodes, Daniel, Singer-Berk, Moriel, England, Eleina M., Seaby, Eleanor G., Kosmicki, Jack A., Walters, Raymond K., Tashman, Katherine, Farjoun, Yossi, Banks, Eric, Poterba, Timothy, Wang, Arcturus, Seed, Cotton, Whiffin, Nicola, Chong, Jessica X., Samocha, Kaitlin E., Pierce-Hoffman, Emma, Zappala, Zachary, O’Donnell-Luria, Anne H., Minikel, Eric Vallabh, Weisburd, Ben, Lek, Monkol, Ware, James S., Vittal, Christopher, Armean, Irina M., Bergelson, Louis, Cibulskis, Kristian, Connolly, Kristen M., Covarrubias, Miguel, Donnelly, Stacey, Ferriera, Steven, Gabriel, Stacey, Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Llanwarne, Christopher, Munshi, Ruchi, Novod, Sam, Petrillo, Nikelle, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Schleicher, Molly, Soto, Jose, Tibbetts, Kathleen, Tolonen, Charlotte, Wade, Gordon, Talkowski, Michael E., Neale, Benjamin M., Daly, Mark J., and MacArthur, Daniel G.

Published
2020
Full Text
View/download PDF

4. Author Correction: The mutational constraint spectrum quantified from variation in 141,456 humanS

Author

Karczewski, Konrad J., Francioli, Laurent C., Tiao, Grace, Cummings, Beryl B., Alföldi, Jessica, Wang, Qingbo, Collins, Ryan L., Laricchia, Kristen M., Ganna, Andrea, Birnbaum, Daniel P., Gauthier, Laura D., Brand, Harrison, Solomonson, Matthew, Rhodes, Daniel, Singer-Berk, Moriel, England, Eleina M., Seaby, Eleanor G., Kosmicki, Jack A., Walters, Raymond K., Tashman, Katherine, Farjoun, Yossi, Banks, Eric, Poterba, Timothy, Wang, Arcturus, Seed, Cotton, Whiffin, Nicola, Chong, Jessica X., Samocha, Kaitlin E., Pierce-Hoffman, Emma, Zappala, Zachary, O’Donnell-Luria, Anne H., Minikel, Eric Vallabh, Weisburd, Ben, Lek, Monkol, Ware, James S., Vittal, Christopher, Armean, Irina M., Bergelson, Louis, Cibulskis, Kristian, Connolly, Kristen M., Covarrubias, Miguel, Donnelly, Stacey, Ferriera, Steven, Gabriel, Stacey, Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Llanwarne, Christopher, Munshi, Ruchi, Novod, Sam, Petrillo, Nikelle, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Schleicher, Molly, Soto, Jose, Tibbetts, Kathleen, Tolonen, Charlotte, Wade, Gordon, Talkowski, Michael E., Aguilar Salinas, Carlos A., Ahmad, Tariq, Albert, Christine M., Ardissino, Diego, Atzmon, Gil, Barnard, John, Beaugerie, Laurent, Benjamin, Emelia J., Boehnke, Michael, Bonnycastle, Lori L., Bottinger, Erwin P., Bowden, Donald W., Bown, Matthew J., Chambers, John C., Chan, Juliana C., Chasman, Daniel, Cho, Judy, Chung, Mina K., Cohen, Bruce, Correa, Adolfo, Dabelea, Dana, Daly, Mark J., Darbar, Dawood, Duggirala, Ravindranath, Dupuis, Josée, Ellinor, Patrick T., Elosua, Roberto, Erdmann, Jeanette, Esko, Tõnu, Färkkilä, Martti, Florez, Jose, Franke, Andre, Getz, Gad, Glaser, Benjamin, Glatt, Stephen J., Goldstein, David, Gonzalez, Clicerio, Groop, Leif, Haiman, Christopher, Hanis, Craig, Harms, Matthew, Hiltunen, Mikko, Holi, Matti M., Hultman, Christina M., Kallela, Mikko, Kaprio, Jaakko, Kathiresan, Sekar, Kim, Bong Jo, Kim, Young Jin, Kirov, George, Kooner, Jaspal, Koskinen, Seppo, Krumholz, Harlan M., Kugathasan, Subra, Kwak, Soo Heon, Laakso, Markku, Lehtimäki, Terho, Loos, Ruth J.F., Lubitz, Steven A., Ma, Ronald C.W., MacArthur, Daniel G., Marrugat, Jaume, Mattila, Kari M., McCarthy, Mark I., McGovern, Dermot, McPherson, Ruth, Meigs, James B., Melander, Olle, Metspalu, Andres, Neale, Benjamin M., Nilsson, Peter M., O’Donovan, Michael C., Ongur, Dost, Orozco, Lorena, Palotie, Aarno, Park, Kyong Soo, Pato, Carlos, Pulver, Ann E., Rahman, Nazneen, Remes, Anne M., Rioux, John D., Ripatti, Samuli, Roden, Dan M., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Scharf, Jeremiah, Schunkert, Heribert, Shoemaker, Moore B., Sklar, Pamela, Soininen, Hilkka, Sokol, Harry, Spector, Tim, Sullivan, Patrick F., Suvisaari, Jaana, Tai, E. Shyong, Teo, Yik Ying, Tiinamaija, Tuomi, Tsuang, Ming, Turner, Dan, Tusie-Luna, Teresa, Vartiainen, Erkki, Vawter, Marquis P., Watkins, Hugh, Weersma, Rinse K., Wessman, Maija, and Xavier, Ramnik J.

Subjects
Multidisciplinary, Science & Technology, General Science & Technology, Spectrum (functional analysis), Rare variants, Biology, Constraint (information theory), Multidisciplinary Sciences, Variation (linguistics), Genome Aggregation Database Consortium, Science & Technology - Other Topics, Author Correction, Medical genomics, Algorithm
Abstract

In this Article, author Marquis P. Vawter was missing from the Genome Aggregation Database Consortium list. They are associated with the affiliation: ‘Department of Psychiatry & Human Behavior, University of California Irvine, Irvine, CA, USA’, and contributed to the generation of the primary data incorporated into the gnomAD resource. In addition, in the legend to Fig. 1, ‘ten’ should have been ‘seven’ in the sentence: “a, Uniform manifold approximation and projection (UMAP)46,47 plot depicting the ancestral diversity of all individuals in gnomAD, using seven principal components.” The original Article has been corrected online.

Published
2021

5. Transcript expression-aware annotation improves rare variant interpretation

Author

Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Cummings, Beryl B., Karczewski, Konrad J., Kosmicki, Jack A., Seaby, Eleanor G., Watts, Nicholas A., Singer-Berk, Moriel, Mudge, Jonathan M., Karjalainen, Juha, Satterstrom, F. Kyle, O’Donnell-Luria, Anne H., Poterba, Timothy, Seed, Cotton, Solomonson, Matthew, Alföldi, Jessica, Armean, Irina M., Banks, Eric, Bergelson, Louis, Cibulskis, Kristian, Collins, Ryan L., Connolly, Kristen M., Covarrubias, Miguel, Daly, Mark J., Donnelly, Stacey, Farjoun, Yossi, Ferriera, Steven, Francioli, Laurent, Gabriel, Stacey, Gauthier, Laura D., Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Laricchia, Kristen M., Llanwarne, Christopher, Minikel, Eric V., Munshi, Ruchi, Neale, Benjamin M., Novod, Sam, Petrillo, Nikelle, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Lehtimäki, Terho, Mattila, Kari M., Suvisaari, Jaana, Tampere University, Clinical Medicine, Department of Clinical Chemistry, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Department of Medicine, Clinicum, Gastroenterologian yksikkö, HUS Psychiatry, Department of Psychiatry, HUS Neurocenter, Department of Neurosciences, Neurologian yksikkö, Institute for Molecular Medicine Finland, Department of Public Health, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Biosciences, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, and Biostatistics Helsinki

Subjects
Male, Transcription, Genetic, Autism Spectrum Disorder, Developmental Disabilities, Datasets as Topic, Haploinsufficiency, Human genetic variation, Genome, Exon, 0302 clinical medicine, Loss of Function Mutation, Disease, Poisson Distribution, Exome sequencing, 0303 health sciences, education.field_of_study, Multidisciplinary, Disease genetics, ARRHYTHMIA, 1184 Genetics, developmental biology, physiology, Genome Aggregation Database Production Team, Exons, Female, Medical genomics, GENES, Genotype, General Science & Technology, Population, Computational biology, Biology, 3121 Internal medicine, Article, DNA sequencing, 03 medical and health sciences, Rare Diseases, Intellectual Disability, Exome Sequencing, Humans, RNA, Messenger, Author Correction, Transcriptomics, education, Gene, 030304 developmental biology, MUTATIONS, Alternative splicing, Reproducibility of Results, Molecular Sequence Annotation, Genome Aggregation Database Consortium, 3111 Biomedicine, Transcriptome, 030217 neurology & neurosurgery
Abstract

The acceleration of DNA sequencing in samples from patients and population studies has resulted in extensive catalogues of human genetic variation, but the interpretation of rare genetic variants remains problematic. A notable example of this challenge is the existence of disruptive variants in dosage-sensitive disease genes, even in apparently healthy individuals. Here, by manual curation of putative loss-of-function (pLoF) variants in haploinsufficient disease genes in the Genome Aggregation Database (gnomAD)1, we show that one explanation for this paradox involves alternative splicing of mRNA, which allows exons of a gene to be expressed at varying levels across different cell types. Currently, no existing annotation tool systematically incorporates information about exon expression into the interpretation of variants. We develop a transcript-level annotation metric known as the ‘proportion expressed across transcripts’, which quantifies isoform expression for variants. We calculate this metric using 11,706 tissue samples from the Genotype Tissue Expression (GTEx) project2 and show that it can differentiate between weakly and highly evolutionarily conserved exons, a proxy for functional importance. We demonstrate that expression-based annotation selectively filters 22.8% of falsely annotated pLoF variants found in haploinsufficient disease genes in gnomAD, while removing less than 4% of high-confidence pathogenic variants in the same genes. Finally, we apply our expression filter to the analysis of de novo variants in patients with autism spectrum disorder and intellectual disability or developmental disorders to show that pLoF variants in weakly expressed regions have similar effect sizes to those of synonymous variants, whereas pLoF variants in highly expressed exons are most strongly enriched among cases. Our annotation is fast, flexible and generalizable, making it possible for any variant file to be annotated with any isoform expression dataset, and will be valuable for the genetic diagnosis of rare diseases, the analysis of rare variant burden in complex disorders, and the curation and prioritization of variants in recall-by-genotype studies., A novel variant annotation metric that quantifies the level of expression of genetic variants across tissues is validated in the Genome Aggregation Database (gnomAD) and is shown to improve rare variant interpretation.

Published
2020

6. Evaluating drug targets through human loss-of-function genetic variation

Author

Minikel, Eric Vallabh, Karczewski, Konrad J., Martin, Hilary C., Cummings, Beryl B., Whiffin, Nicola, Rhodes, Daniel, Alföldi, Jessica, Trembath, Richard C., van Heel, David A., Daly, Mark J., Armean, Irina M., Banks, Eric, Bergelson, Louis, Cibulskis, Kristian, Collins, Ryan L., Connolly, Kristen M., Covarrubias, Miguel, Donnelly, Stacey, Farjoun, Yossi, Ferriera, Steven, Francioli, Laurent, Gabriel, Stacey, Gauthier, Laura D., Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Laricchia, Kristen M., Llanwarne, Christopher, Minikel, Eric V., Munshi, Ruchi, Neale, Benjamin M., Novod, Sam, O’Donnell-Luria, Anne H., Petrillo, Nikelle, Poterba, Timothy, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Samocha, Kaitlin E., Schleicher, Molly, Seed, Cotton, Solomonson, Matthew, Soto, Jose, Tiao, Grace, Tibbetts, Kathleen, Centre of Excellence in Complex Disease Genetics, Department of Medicine, Clinicum, Gastroenterologian yksikkö, HUS Abdominal Center, HUS Psychiatry, Department of Psychiatry, HUS Neurocenter, Department of Neurosciences, Institute for Molecular Medicine Finland, Department of Public Health, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, University Management, Biostatistics Helsinki, Biosciences, Genomics of Neurological and Neuropsychiatric Disorders, Aarno Palotie / Principal Investigator, Tampere University, Clinical Medicine, and Department of Clinical Chemistry

Subjects
Drug, FAMILIAL PRION DISEASE, PENETRANCE, media_common.quotation_subject, ved/biology.organism_classification_rank.species, PROTEIN, Computational biology, Biology, VARIANTS, Compound heterozygosity, AMYOTROPHIC-LATERAL-SCLEROSIS, Target validation, 03 medical and health sciences, 0302 clinical medicine, PARKINSONS-DISEASE, In vivo, Genetic variation, EPIDEMIOLOGY, Model organism, Gene, Loss function, 030304 developmental biology, media_common, 0303 health sciences, Multidisciplinary, ved/biology, MUTATIONS, 1184 Genetics, developmental biology, physiology, HUNTINGTONS-DISEASE GENE, Genomics, 3. Good health, PREVALENCE, Drug development, 3111 Biomedicine, 030217 neurology & neurosurgery, Analysis
Abstract

Naturally occurring human genetic variants that are predicted to inactivate protein-coding genes provide an in vivo model of human gene inactivation that complements knockout studies in cells and model organisms. Here we report three key findings regarding the assessment of candidate drug targets using human loss-of-function variants. First, even essential genes, in which loss-of-function variants are not tolerated, can be highly successful as targets of inhibitory drugs. Second, in most genes, loss-of-function variants are sufficiently rare that genotype-based ascertainment of homozygous or compound heterozygous ‘knockout’ humans will await sample sizes that are approximately 1,000 times those presently available, unless recruitment focuses on consanguineous individuals. Third, automated variant annotation and filtering are powerful, but manual curation remains crucial for removing artefacts, and is a prerequisite for recall-by-genotype efforts. Our results provide a roadmap for human knockout studies and should guide the interpretation of loss-of-function variants in drug development., Analysis of predicted loss-of-function variants from 125,748 human exomes and 15,708 whole genomes in the Genome Aggregation Database (gnomAD) provides a roadmap for human ‘knockout’ studies and a guide for future research into disease biology and drug-target selection.

Published
2020
Full Text
View/download PDF

7. Characterising the loss-of-function impact of 5' untranslated region variants in 15,708 individuals

Author

Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Whiffin, Nicola, Karczewski, Konrad J., Zhang, Xiaolei, Chothani, Sonia, Smith, Miriam J., Evans, D. Gareth, Roberts, Angharad M., Quaife, Nicholas M., Schafer, Sebastian, Rackham, Owen, Alföldi, Jessica, O’Donnell-Luria, Anne H., Francioli, Laurent C., Armean, Irina M., Banks, Eric, Bergelson, Louis, Cibulskis, Kristian, Collins, Ryan L., Connolly, Kristen M., Covarrubias, Miguel, Cummings, Beryl, Daly, Mark J., Donnelly, Stacey, Farjoun, Yossi, Ferriera, Steven, Gabriel, Stacey, Gauthier, Laura D., Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Laricchia, Kristen M., Llanwarne, Christopher, Minikel, Eric V., Munshi, Ruchi, Neale, Benjamin M., Novod, Sam, Petrillo, Nikelle, Poterba, Timothy, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Samocha, Kaitlin E., Schleicher, Molly, Seed, Cotton, Solomonson, Matthew, Soto, Jose, Lehtimäki, Terho, Mattila, Kari M., Suvisaari, Jaana, Imper, Rosetrees Trust, Wellcome Trust, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Department of Medicine, Clinicum, Gastroenterologian yksikkö, Institute for Molecular Medicine Finland, Biosciences, Genomics of Neurological and Neuropsychiatric Disorders, HUS Psychiatry, Department of Psychiatry, HUS Neurocenter, Department of Neurosciences, Neurologian yksikkö, Department of Public Health, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Doctoral Programme in Social Sciences, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, University Management, Biostatistics Helsinki, Faculty of Medicine, University of Helsinki, Tampere University, Clinical Medicine, Department of Clinical Chemistry, BioMediTech, Fondation Leducq, Department of Health, Leducq Foundation for Cardiovascular Research, British Heart Foundation, and Royal Brompton & Harefield NHS Foundation Trust

Subjects
0301 basic medicine, Untranslated region, Five prime untranslated region, General Physics and Astronomy, Genome informatics, Negative selection, 0302 clinical medicine, Loss of Function Mutation, Genetics research, Coding region, lcsh:Science, education.field_of_study, Multidisciplinary, 1184 Genetics, developmental biology, physiology, Genome Aggregation Database Production Team, Genomics, Multidisciplinary Sciences, Genome Aggregation Database (gnomAD) Consortium, Science & Technology - Other Topics, 5'-UNTRANSLATED REGIONS, Medical genomics, Genome Aggregation Database (gnomAD) Production Team, OPEN READING FRAMES, Science, Population, WOUDE, Computational biology, Biology, Article, General Biochemistry, Genetics and Molecular Biology, ORFS, Frameshift mutation, 03 medical and health sciences, Humans, Author Correction, education, Gene, Science & Technology, Base Sequence, Genome, Human, MUTATIONS, Genetic Variation, Proteins, General Chemistry, 030104 developmental biology, INITIATION CODON, Genome Aggregation Database Consortium, Human genome, lcsh:Q, 3111 Biomedicine, TRANSLATION, 5' Untranslated Regions, 030217 neurology & neurosurgery, VAN
Abstract

Upstream open reading frames (uORFs) are tissue-specific cis-regulators of protein translation. Isolated reports have shown that variants that create or disrupt uORFs can cause disease. Here, in a systematic genome-wide study using 15,708 whole genome sequences, we show that variants that create new upstream start codons, and variants disrupting stop sites of existing uORFs, are under strong negative selection. This selection signal is significantly stronger for variants arising upstream of genes intolerant to loss-of-function variants. Furthermore, variants creating uORFs that overlap the coding sequence show signals of selection equivalent to coding missense variants. Finally, we identify specific genes where modification of uORFs likely represents an important disease mechanism, and report a novel uORF frameshift variant upstream of NF2 in neurofibromatosis. Our results highlight uORF-perturbing variants as an under-recognised functional class that contribute to penetrant human disease, and demonstrate the power of large-scale population sequencing data in studying non-coding variant classes., Upstream open reading frames (uORFs), located in 5’ untranslated regions, are regulators of downstream protein translation. Here, Whiffin et al. use the genomes of 15,708 individuals in the Genome Aggregation Database (gnomAD) to systematically assess the deleteriousness of variants creating or disrupting uORFs.

Published
2019

8. Characterising the loss-of-function impact of 5’ untranslated region variants in whole genome sequence data from 15,708 individuals

Author

Whiffin, Nicola, Karczewski, Konrad J, Zhang, Xiaolei, Chothani, Sonia, Smith, Miriam J, Evans, D Gareth, Roberts, Angharad M, Quaife, Nicholas M, Schafer, Sebastian, Rackham, Owen, Alföldi, Jessica, O’Donnell-Luria, Anne H, Francioli, Laurent C, Armean, Irina M., Banks, Eric, Bergelson, Louis, Cibulskis, Kristian, Collins, Ryan L, Connolly, Kristen M., Covarrubias, Miguel, Cummings, Beryl, Daly, Mark J., Donnelly, Stacey, Farjoun, Yossi, Ferriera, Steven, Francioli, Laurent, Gabriel, Stacey, Gauthier, Laura D., Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Karczewski, Konrad J., Laricchia, Kristen M., Llanwarne, Christopher, Minikel, Eric V., Munshi, Ruchi, Neale, Benjamin M, Novod, Sam, O’Donnell-Luria, Anne H., Petrillo, Nikelle, Poterba, Timothy, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Samocha, Kaitlin E., Schleicher, Molly, Seed, Cotton, Solomonson, Matthew, Soto, Jose, Tiao, Grace, Tibbetts, Kathleen, Tolonen, Charlotte, Vittal, Christopher, Wade, Gordon, Wang, Arcturus, Wang, Qingbo, Ware, James S, Watts, Nicholas A, Weisburd, Ben, Salinas, Carlos A Aguilar, Ahmad, Tariq, Albert, Christine M., Ardissino, Diego, Atzmon, Gil, Barnard, John, Beaugerie, Laurent, Benjamin, Emelia J., Boehnke, Michael, Bonnycastle, Lori L., Bottinger, Erwin P., Bowden, Donald W, Bown, Matthew J, Chambers, John C, Chan, Juliana C., Chasman, Daniel, Cho, Judy, Chung, Mina K., Cohen, Bruce, Correa, Adolfo, Dabelea, Dana, Darbar, Dawood, Duggirala, Ravindranath, Dupuis, Josée, Ellinor, Patrick T., Elosua, Roberto, Erdmann, Jeanette, Esko, Tõnu, Färkkilä, Martti, Florez, Jose, Franke, Andre, Getz, Gad, Glaser, Benjamin, Glatt, Stephen J., Goldstein, David, Gonzalez, Clicerio, Groop, Leif, Haiman, Christopher, Hanis, Craig, Harms, Matthew, Hiltunen, Mikko, Holi, Matti M., Hultman, Christina M., Kallela, Mikko, Kaprio, Jaakko, Kathiresan, Sekar, Kim, Bong-Jo, Kim, Young Jin, Kirov, George, Kooner, Jaspal, Koskinen, Seppo, Krumholz, Harlan M., Kugathasan, Subra, Kwak, Soo Heon, Laakso, Markku, Lehtimäki, Terho, Loos, Ruth J.F., Lubitz, Steven A., Ma, Ronald C.W., MacArthur, Daniel G., Marrugat, Jaume, Mattila, Kari M., McCarroll, Steven, McCarthy, Mark I, McGovern, Dermot, McPherson, Ruth, Meigs, James B., Melander, Olle, Metspalu, Andres, Nilsson, Peter M, O’Donovan, Michael C, Ongur, Dost, Orozco, Lorena, Owen, Michael J, Palmer, Colin N.A., Palotie, Aarno, Park, Kyong Soo, Pato, Carlos, Pulver, Ann E., Rahman, Nazneen, Remes, Anne M., Rioux, John D., Ripatti, Samuli, Roden, Dan M., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Scharf, Jeremiah, Schunkert, Heribert, Shoemaker, Moore B., Sklar, Pamela, Soininen, Hilkka, Soko, Harry, Spector, Tim, Sullivan, Patrick F., Suvisaari, Jaana, Tai, E Shyong, Teo, Yik Ying, Tiinamaija, Tuomi, Tsuang, Ming, Turner, Dan, Tusie-Luna, Teresa, Vartiainen, Erkki, Watkins, Hugh, Weersma, Rinse K, Wessman, Maija, Wilson, James G., Xavier, Ramnik J., Cook, Stuart A, Barton, Paul J R, and MacArthur, Daniel G

Subjects
0303 health sciences, education.field_of_study, Five prime untranslated region, Population, Computational biology, Biology, Genome, DNA sequencing, Frameshift mutation, 03 medical and health sciences, Negative selection, 0302 clinical medicine, Coding region, education, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Upstream open reading frames (uORFs) are important tissue-specific cis-regulators of protein translation. Although isolated case reports have shown that variants that create or disrupt uORFs can cause disease, genetic sequencing approaches typically focus on protein-coding regions and ignore these variants. Here, we describe a systematic genome-wide study of variants that create and disrupt human uORFs, and explore their role in human disease using 15,708 whole genome sequences collected by the Genome Aggregation Database (gnomAD) project. We show that 14,897 variants that create new start codons upstream of the canonical coding sequence (CDS), and 2,406 variants disrupting the stop site of existing uORFs, are under strong negative selection. Furthermore, variants creating uORFs that overlap the CDS show signals of selection equivalent to coding loss-of-function variants, and uORF-perturbing variants are under strong selection when arising upstream of known disease genes and genes intolerant to loss-of-function variants. Finally, we identify specific genes where perturbation of uORFs is likely to represent an important disease mechanism, and report a novel uORF frameshift variant upstream of NF2 in families with neurofibromatosis. Our results highlight uORF-perturbing variants as an important and under-recognised functional class that can contribute to penetrant human disease, and demonstrate the power of large-scale population sequencing data to study the deleteriousness of specific classes of non-coding variants.

Published
2019
Full Text
View/download PDF

9. Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes

Author

Karczewski, Konrad J., Francioli, Laurent C., Tiao, Grace, Cummings, Beryl B., Alföldi, Jessica, Wang, Qingbo, Collins, Ryan L., Laricchia, Kristen M., Ganna, Andrea, Birnbaum, Daniel P., Gauthier, Laura D., Brand, Harrison, Solomonson, Matthew, Watts, Nicholas A., Rhodes, Daniel, Singer-Berk, Moriel, Seaby, Eleanor G., Kosmicki, Jack A., Walters, Raymond K., Tashman, Katherine, Farjoun, Yossi, Banks, Eric, Poterba, Timothy, Wang, Arcturus, Seed, Cotton, Whiffin, Nicola, Chong, Jessica X., Samocha, Kaitlin E., Pierce-Hoffman, Emma, Zappala, Zachary, O’Donnell-Luria, Anne H., Minikel, Eric Vallabh, Weisburd, Ben, Lek, Monkol, Ware, James S., Vittal, Christopher, Armean, Irina M., Bergelson, Louis, Cibulskis, Kristian, Connolly, Kristen M., Covarrubias, Miguel, Donnelly, Stacey, Ferriera, Steven, Gabriel, Stacey, Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Llanwarne, Christopher, Munshi, Ruchi, Novod, Sam, Petrillo, Nikelle, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Schleicher, Molly, Soto, Jose, Tibbetts, Kathleen, Tolonen, Charlotte, Wade, Gordon, Talkowski, Michael E., Neale, Benjamin M., Daly, Mark J., and MacArthur, Daniel G.

Abstract

Summary Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes critical for an organism’s function will be depleted for such variants in natural populations, while non-essential genes will tolerate their accumulation. However, predicted loss-of-function (pLoF) variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes. Here, we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence pLoF variants in this cohort after filtering for sequencing and annotation artifacts. Using an improved model of human mutation, we classify human protein-coding genes along a spectrum representing intolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve gene discovery power for both common and rare diseases.

Published
2019
Full Text
View/download PDF

10. Addendum: The mutational constraint spectrum quantified from variation in 141,456 humans

Author

Gudmundsson, Sanna, Karczewski, Konrad J., Francioli, Laurent C., Tiao, Grace, Cummings, Beryl B., Alföldi, Jessica, Wang, Qingbo, Collins, Ryan L., Laricchia, Kristen M., Ganna, Andrea, Birnbaum, Daniel P., Gauthier, Laura D., Brand, Harrison, Solomonson, Matthew, Watts, Nicholas A., Rhodes, Daniel, Singer-Berk, Moriel, England, Eleina M., Seaby, Eleanor G., Kosmicki, Jack A., Walters, Raymond K., Tashman, Katherine, Farjoun, Yossi, Banks, Eric, Poterba, Timothy, Wang, Arcturus, Seed, Cotton, Whiffin, Nicola, Chong, Jessica X., Samocha, Kaitlin E., Pierce-Hoffman, Emma, Zappala, Zachary, O’Donnell-Luria, Anne H., Minikel, Eric Vallabh, Weisburd, Ben, Lek, Monkol, Ware, James S., Vittal, Christopher, Armean, Irina M., Bergelson, Louis, Cibulskis, Kristian, Connolly, Kristen M., Covarrubias, Miguel, Donnelly, Stacey, Ferriera, Steven, Gabriel, Stacey, Gentry, Jeff, Gupta, Namrata, Jeandet, Thibault, Kaplan, Diane, Llanwarne, Christopher, Munshi, Ruchi, Novod, Sam, Petrillo, Nikelle, Roazen, David, Ruano-Rubio, Valentin, Saltzman, Andrea, Schleicher, Molly, Soto, Jose, Tibbetts, Kathleen, Tolonen, Charlotte, Wade, Gordon, Talkowski, Michael E., Neale, Benjamin M., Daly, Mark J., and MacArthur, Daniel G.

Published
2021
Full Text
View/download PDF

11. Exome sequencing of 20,979 individuals with epilepsy reveals shared and distinct ultra-rare genetic risk across disorder subtypes.

Author

Chen S, Abou-Khalil BW, Afawi Z, Ali QZ, Amadori E, Anderson A, Anderson J, Andrade DM, Annesi G, Arslan M, Auce P, Bahlo M, Baker MD, Balagura G, Balestrini S, Banks E, Barba C, Barboza K, Bartolomei F, Bass N, Baum LW, Baumgartner TH, Baykan B, Bebek N, Becker F, Bennett CA, Beydoun A, Bianchini C, Bisulli F, Blackwood D, Blatt I, Borggräfe I, Bosselmann C, Braatz V, Brand H, Brockmann K, Buono RJ, Busch RM, Caglayan SH, Canafoglia L, Canavati C, Castellotti B, Cavalleri GL, Cerrato F, Chassoux F, Cherian C, Cherny SS, Cheung CL, Chou IJ, Chung SK, Churchhouse C, Ciullo V, Clark PO, Cole AJ, Cosico M, Cossette P, Cotsapas C, Cusick C, Daly MJ, Davis LK, Jonghe P, Delanty N, Dennig D, Depondt C, Derambure P, Devinsky O, Di Vito L, Dickerson F, Dlugos DJ, Doccini V, Doherty CP, El-Naggar H, Ellis CA, Epstein L, Evans M, Faucon A, Feng YA, Ferguson L, Ferraro TN, Da Silva IF, Ferri L, Feucht M, Fields MC, Fitzgerald M, Fonferko-Shadrach B, Fortunato F, Franceschetti S, French JA, Freri E, Fu JM, Gabriel S, Gagliardi M, Gambardella A, Gauthier L, Giangregorio T, Gili T, Glauser TA, Goldberg E, Goldman A, Goldstein DB, Granata T, Grant R, Greenberg DA, Guerrini R, Gundogdu-Eken A, Gupta N, Haas K, Hakonarson H, Haryanyan G, Häusler M, Hegde M, Heinzen EL, Helbig I, Hengsbach C, Heyne H, Hirose S, Hirsch E, Ho CJ, Hoeper O, Howrigan DP, Hucks D, Hung PC, Iacomino M, Inoue Y, Inuzuka LM, Ishii A, Jehi L, Johnson MR, Johnstone M, Kälviäinen R, Kanaan M, Kara B, Kariuki SM, Kegele J, Kesim Y, Khoueiry-Zgheib N, Khoury J, King C, Klein KM, Kluger G, Knake S, Kok F, Korczyn AD, Korinthenberg R, Koupparis A, Kousiappa I, Krause R, Krenn M, Krestel H, Krey I, Kunz WS, Kurlemann G, Kuzniecky RI, Kwan P, La Vega-Talbott M, Labate A, Lacey A, Lal D, Laššuthová P, Lauxmann S, Lawthom C, Leech SL, Lehesjoki AE, Lemke JR, Lerche H, Lesca G, Leu C, Lewin N, Lewis-Smith D, Li GH, Liao C, Licchetta L, Lin CH, Lin KL, Linnankivi T, Lo W, Lowenstein DH, Lowther C, Lubbers L, Lui CHT, Macedo-Souza LI, Madeleyn R, Madia F, Magri S, Maillard L, Marcuse L, Marques P, Marson AG, Matthews AG, May P, Mayer T, McArdle W, McCarroll SM, McGoldrick P, McGraw CM, McIntosh A, McQuillan A, Meador KJ, Mei D, Michel V, Millichap JJ, Minardi R, Montomoli M, Mostacci B, Muccioli L, Muhle H, Müller-Schlüter K, Najm IM, Nasreddine W, Neaves S, Neubauer BA, Newton CRJC, Noebels JL, Northstone K, Novod S, O'Brien TJ, Owusu-Agyei S, Özkara Ç, Palotie A, Papacostas SS, Parrini E, Pato C, Pato M, Pendziwiat M, Pennell PB, Petrovski S, Pickrell WO, Pinsky R, Pinto D, Pippucci T, Piras F, Piras F, Poduri A, Pondrelli F, Posthuma D, Powell RHW, Privitera M, Rademacher A, Ragona F, Ramirez-Hamouz B, Rau S, Raynes HR, Rees MI, Regan BM, Reif A, Reinthaler E, Rheims S, Ring SM, Riva A, Rojas E, Rosenow F, Ryvlin P, Saarela A, Sadleir LG, Salman B, Salmon A, Salpietro V, Sammarra I, Scala M, Schachter S, Schaller A, Schankin CJ, Scheffer IE, Schneider N, Schubert-Bast S, Schulze-Bonhage A, Scudieri P, Sedláčková L, Shain C, Sham PC, Shiedley BR, Siena SA, Sills GJ, Sisodiya SM, Smoller JW, Solomonson M, Spalletta G, Sparks KR, Sperling MR, Stamberger H, Steinhoff BJ, Stephani U, Štěrbová K, Stewart WC, Stipa C, Striano P, Strzelczyk A, Surges R, Suzuki T, Talarico M, Talkowski ME, Taneja RS, Tanteles GA, Timonen O, Timpson NJ, Tinuper P, Todaro M, Topaloglu P, Tsai MH, Tumiene B, Turkdogan D, Uğur-İşeri S, Utkus A, Vaidiswaran P, Valton L, van Baalen A, Vari MS, Vetro A, Vlčková M, von Brauchitsch S, von Spiczak S, Wagner RG, Watts N, Weber YG, Weckhuysen S, Widdess-Walsh P, Wiebe S, Wolf SM, Wolff M, Wolking S, Wong I, von Wrede R, Wu D, Yamakawa K, Yapıcı Z, Yis U, Yolken R, Yücesan E, Zagaglia S, Zahnert F, Zara F, Zimprich F, Zizovic M, Zsurka G, Neale BM, and Berkovic SF

Abstract

Identifying genetic risk factors for highly heterogeneous disorders like epilepsy remains challenging. Here, we present the largest whole-exome sequencing study of epilepsy to date, with >54,000 human exomes, comprising 20,979 deeply phenotyped patients from multiple genetic ancestry groups with diverse epilepsy subtypes and 33,444 controls, to investigate rare variants that confer disease risk. These analyses implicate seven individual genes, three gene sets, and four copy number variants at exome-wide significance. Genes encoding ion channels show strong association with multiple epilepsy subtypes, including epileptic encephalopathies, generalized and focal epilepsies, while most other gene discoveries are subtype-specific, highlighting distinct genetic contributions to different epilepsies. Combining results from rare single nucleotide/short indel-, copy number-, and common variants, we offer an expanded view of the genetic architecture of epilepsy, with growing evidence of convergence among different genetic risk loci on the same genes. Top candidate genes are enriched for roles in synaptic transmission and neuronal excitability, particularly postnatally and in the neocortex. We also identify shared rare variant risk between epilepsy and other neurodevelopmental disorders. Our data can be accessed via an interactive browser, hopefully facilitating diagnostic efforts and accelerating the development of follow-up studies., Competing Interests: Competing Interests B.M.N is a member of the scientific advisory board at Deep Genomics and Neumora. No other authors have competing interests to declare

Published
2024
Full Text
View/download PDF

12. Author Correction: The mutational constraint spectrum quantified from variation in 141,456 humans.

Author

Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, Collins RL, Laricchia KM, Ganna A, Birnbaum DP, Gauthier LD, Brand H, Solomonson M, Watts NA, Rhodes D, Singer-Berk M, England EM, Seaby EG, Kosmicki JA, Walters RK, Tashman K, Farjoun Y, Banks E, Poterba T, Wang A, Seed C, Whiffin N, Chong JX, Samocha KE, Pierce-Hoffman E, Zappala Z, O'Donnell-Luria AH, Minikel EV, Weisburd B, Lek M, Ware JS, Vittal C, Armean IM, Bergelson L, Cibulskis K, Connolly KM, Covarrubias M, Donnelly S, Ferriera S, Gabriel S, Gentry J, Gupta N, Jeandet T, Kaplan D, Llanwarne C, Munshi R, Novod S, Petrillo N, Roazen D, Ruano-Rubio V, Saltzman A, Schleicher M, Soto J, Tibbetts K, Tolonen C, Wade G, Talkowski ME, Neale BM, Daly MJ, and MacArthur DG

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results