Search

Your search keyword '"Hall, Ira"' showing total 310 results
Start Over Author "Hall, Ira"
310 results on '"Hall, Ira"'

1. The R\'enyi Outlier Test

Author

Christ, Ryan, Hall, Ira, and Steinsaltz, David

Subjects
Statistics - Methodology
Abstract

Cox and Kartsonaki proposed a simple outlier test for a vector of p-values based on the R\'enyi transformation that is fast for large $p$ and numerically stable for very small p-values -- key properties for large data analysis. We propose and implement a generalization of this procedure we call the R\'enyi Outlier Test (ROT). This procedure maintains the key properties of the original but is much more robust to uncertainty in the number of outliers expected a priori among the p-values. The ROT can also account for two types of prior information that are common in modern data analysis. The first is the prior probability that a given p-value may be outlying. The second is an estimate of how far of an outlier a p-value might be, conditional on it being an outlier; in other words, an estimate of effect size. Using a series of pre-calculated spline functions, we provide a fast and numerically stable implementation of the ROT in our R package renyi., Comment: 4 pages

Published
2024

2. Whole-genome sequencing uncovers two loci for coronary artery calcification and identifies ARSE as a regulator of vascular calcification.

Author

de Vries, Paul, Conomos, Matthew, Singh, Kuldeep, Nicholson, Christopher, Jain, Deepti, Hasbani, Natalie, Jiang, Wanlin, Lee, Sujin, Cardenas, Christian, Lutz, Sharon, Wong, Doris, Guo, Xiuqing, Yao, Jie, Young, Erica, Tcheandjieu, Catherine, Hilliard, Austin, Bis, Joshua, Bielak, Lawrence, Brown, Michael, Musharoff, Shaila, Clarke, Shoa, Terry, James, Palmer, Nicholette, Yanek, Lisa, Xu, Huichun, Heard-Costa, Nancy, Wessel, Jennifer, Selvaraj, Margaret, Li, Rebecca, Sun, Xiao, Turner, Adam, Stilp, Adrienne, Khan, Alyna, Newman, Anne, Rasheed, Asif, Freedman, Barry, Kral, Brian, McHugh, Caitlin, Hodonsky, Chani, Saleheen, Danish, Herrington, David, Jacobs, David, Nickerson, Deborah, Boerwinkle, Eric, Wang, Fei, Heiss, Gerardo, Jun, Goo, Kinney, Greg, Sigurslid, Haakon, Doddapaneni, HarshaVardhan, Hall, Ira, Bensenor, Isabela, Broome, Jai, Crapo, James, Wilson, James, Smith, Jennifer, Blangero, John, Vargas, Jose, Mosquera, Jose, Smith, Joshua, Viaud-Martinez, Karine, Ryan, Kathleen, Young, Kendra, Taylor, Kent, Lange, Leslie, Emery, Leslie, Bittencourt, Marcio, Montasser, May, Yu, Miao, Mahaney, Michael, Mahamdeh, Mohammed, Fornage, Myriam, Franceschini, Nora, Lotufo, Paulo, Natarajan, Pradeep, Wong, Quenna, Mathias, Rasika, Gibbs, Richard, Do, Ron, Mehran, Roxana, Tracy, Russell, Kim, Ryan, Nelson, Sarah, Damrauer, Scott, Kardia, Sharon, Rich, Stephen, Fuster, Valentin, Napolioni, Valerio, Zhao, Wei, Tian, Wenjie, Yin, Xianyong, Min, Yuan-I, Manning, Alisa, Peloso, Gina, Kelly, Tanika, ODonnell, Christopher, Morrison, Alanna, Curran, Joanne, Zapol, Warren, and Bowden, Donald

Abstract

Coronary artery calcification (CAC) is a measure of atherosclerosis and a well-established predictor of coronary artery disease (CAD) events. Here we describe a genome-wide association study (GWAS) of CAC in 22,400 participants from multiple ancestral groups. We confirmed associations with four known loci and identified two additional loci associated with CAC (ARSE and MMP16), with evidence of significant associations in replication analyses for both novel loci. Functional assays of ARSE and MMP16 in human vascular smooth muscle cells (VSMCs) demonstrate that ARSE is a promoter of VSMC calcification and VSMC phenotype switching from a contractile to a calcifying or osteogenic phenotype. Furthermore, we show that the association of variants near ARSE with reduced CAC is likely explained by reduced ARSE expression with the G allele of enhancer variant rs5982944. Our study highlights ARSE as an important contributor to atherosclerotic vascular calcification, and a potential drug target for vascular calcific disease.

Published
2023

3. Gaps and complex structurally variant loci in phased genome assemblies

Author

Porubsky, David, Vollger, Mitchell R, Harvey, William T, Rozanski, Allison N, Ebert, Peter, Hickey, Glenn, Hasenfeld, Patrick, Sanders, Ashley D, Stober, Catherine, Consortium, Human Pangenome Reference, Korbel, Jan O, Paten, Benedict, Marschall, Tobias, Eichler, Evan E, Abel, Haley J, Antonacci-Fulton, Lucinda L, Asri, Mobin, Baid, Gunjan, Baker, Carl A, Belyaeva, Anastasiya, Billis, Konstantinos, Bourque, Guillaume, Buonaiuto, Silvia, Carroll, Andrew, Chaisson, Mark JP, Chang, Pi-Chuan, Chang, Xian H, Cheng, Haoyu, Chu, Justin, Cody, Sarah, Colonna, Vincenza, Cook, Daniel E, Cook-Deegan, Robert M, Cornejo, Omar E, Diekhans, Mark, Doerr, Daniel, Ebler, Jana, Eizenga, Jordan M, Fairley, Susan, Fedrigo, Olivier, Felsenfeld, Adam L, Feng, Xiaowen, Fischer, Christian, Flicek, Paul, Formenti, Giulio, Frankish, Adam, Fulton, Robert S, Gao, Yan, Garg, Shilpa, Garrison, Erik, Garrison, Nanibaa’ A, Giron, Carlos Garcia, Green, Richard E, Groza, Cristian, Guarracino, Andrea, Haggerty, Leanne, Hall, Ira M, Haukness, Marina, Haussler, David, Heumos, Simon, Hoekzema, Kendra, Hourlier, Thibaut, Howe, Kerstin, Jain, Miten, Jarvis, Erich D, Ji, Hanlee P, Kenny, Eimear E, Koenig, Barbara A, Kolesnikov, Alexey, Kordosky, Jennifer, Koren, Sergey, Lee, HoJoon, Lewis, Alexandra P, Li, Heng, Liao, Wen-Wei, Lu, Shuangjia, Lu, Tsung-Yu, Lucas, Julian K, Magalhães, Hugo, Marco-Sola, Santiago, Marijon, Pierre, Markello, Charles, Martin, Fergal J, McCartney, Ann, McDaniel, Jennifer, Miga, Karen H, Mitchell, Matthew W, Monlong, Jean, Mountcastle, Jacquelyn, Munson, Katherine M, Mwaniki, Moses Njagi, Nattestad, Maria, Novak, Adam M, and Nurk, Sergey

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Humans, DNA, Satellite, Polymorphism, Genetic, Haplotypes, Segmental Duplications, Genomic, Sequence Analysis, DNA, Human Pangenome Reference Consortium, Medical and Health Sciences, Bioinformatics
Abstract

There has been tremendous progress in phased genome assembly production by combining long-read data with parental information or linked-read data. Nevertheless, a typical phased genome assembly generated by trio-hifiasm still generates more than 140 gaps. We perform a detailed analysis of gaps, assembly breaks, and misorientations from 182 haploid assemblies obtained from a diversity panel of 77 unique human samples. Although trio-based approaches using HiFi are the current gold standard, chromosome-wide phasing accuracy is comparable when using Strand-seq instead of parental data. Importantly, the majority of assembly gaps cluster near the largest and most identical repeats (including segmental duplications [35.4%], satellite DNA [22.3%], or regions enriched in GA/AT-rich DNA [27.4%]). Consequently, 1513 protein-coding genes overlap assembly gaps in at least one haplotype, and 231 are recurrently disrupted or missing from five or more haplotypes. Furthermore, we estimate that 6-7 Mbp of DNA are misorientated per haplotype irrespective of whether trio-free or trio-based approaches are used. Of these misorientations, 81% correspond to bona fide large inversion polymorphisms in the human species, most of which are flanked by large segmental duplications. We also identify large-scale alignment discontinuities consistent with 11.9 Mbp of deletions and 161.4 Mbp of insertions per haploid genome. Although 99% of this variation corresponds to satellite DNA, we identify 230 regions of euchromatic DNA with frequent expansions and contractions, nearly half of which overlap with 197 protein-coding genes. Such variable and incompletely assembled regions are important targets for future algorithmic development and pangenome representation.

Published
2023

4. Stable Distillation and High-Dimensional Hypothesis Testing

Author

Christ, Ryan, Hall, Ira, and Steinsaltz, David

Subjects
Statistics - Methodology
Abstract

While powerful methods have been developed for high-dimensional hypothesis testing assuming orthogonal parameters, current approaches struggle to generalize to the more common non-orthogonal case. We propose Stable Distillation (SD), a simple paradigm for iteratively extracting independent pieces of information from observed data, assuming a parametric model. When applied to hypothesis testing for large regression models, SD orthogonalizes the effect estimates of non-orthogonal predictors by judiciously introducing noise into the observed outcomes vector, yielding mutually independent p-values across predictors. Generic regression and gene-testing simulations show that SD yields a scalable approach for non-orthogonal designs that exceeds or matches the power of existing methods against sparse alternatives. While we only present explicit SD algorithms for hypothesis testing in ordinary least squares and logistic regression, we provide general guidance for deriving and improving the power of SD procedures., Comment: 47 pages, 15 figures

Published
2022

5. Semi-automated assembly of high-quality diploid human reference genomes

Author

Jarvis, Erich D, Formenti, Giulio, Rhie, Arang, Guarracino, Andrea, Yang, Chentao, Wood, Jonathan, Tracey, Alan, Thibaud-Nissen, Francoise, Vollger, Mitchell R, Porubsky, David, Cheng, Haoyu, Asri, Mobin, Logsdon, Glennis A, Carnevali, Paolo, Chaisson, Mark JP, Chin, Chen-Shan, Cody, Sarah, Collins, Joanna, Ebert, Peter, Escalona, Merly, Fedrigo, Olivier, Fulton, Robert S, Fulton, Lucinda L, Garg, Shilpa, Gerton, Jennifer L, Ghurye, Jay, Granat, Anastasiya, Green, Richard E, Harvey, William, Hasenfeld, Patrick, Hastie, Alex, Haukness, Marina, Jaeger, Erich B, Jain, Miten, Kirsche, Melanie, Kolmogorov, Mikhail, Korbel, Jan O, Koren, Sergey, Korlach, Jonas, Lee, Joyce, Li, Daofeng, Lindsay, Tina, Lucas, Julian, Luo, Feng, Marschall, Tobias, Mitchell, Matthew W, McDaniel, Jennifer, Nie, Fan, Olsen, Hugh E, Olson, Nathan D, Pesout, Trevor, Potapova, Tamara, Puiu, Daniela, Regier, Allison, Ruan, Jue, Salzberg, Steven L, Sanders, Ashley D, Schatz, Michael C, Schmitt, Anthony, Schneider, Valerie A, Selvaraj, Siddarth, Shafin, Kishwar, Shumate, Alaina, Stitziel, Nathan O, Stober, Catherine, Torrance, James, Wagner, Justin, Wang, Jianxin, Wenger, Aaron, Xiao, Chuanle, Zimin, Aleksey V, Zhang, Guojie, Wang, Ting, Li, Heng, Garrison, Erik, Haussler, David, Hall, Ira, Zook, Justin M, Eichler, Evan E, Phillippy, Adam M, Paten, Benedict, Howe, Kerstin, and Miga, Karen H

Subjects
Genetics, Human Genome, Biotechnology, Generic health relevance, Humans, Chromosome Mapping, Diploidy, Genome, Human, Haplotypes, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Reference Standards, Genomics, Chromosomes, Human, Genetic Variation, Human Pangenome Reference Consortium, General Science & Technology
Abstract

The current human reference genome, GRCh38, represents over 20 years of effort to generate a high-quality assembly, which has benefitted society1,2. However, it still has many gaps and errors, and does not represent a biological genome as it is a blend of multiple individuals3,4. Recently, a high-quality telomere-to-telomere reference, CHM13, was generated with the latest long-read technologies, but it was derived from a hydatidiform mole cell line with a nearly homozygous genome5. To address these limitations, the Human Pangenome Reference Consortium formed with the goal of creating high-quality, cost-effective, diploid genome assemblies for a pangenome reference that represents human genetic diversity6. Here, in our first scientific report, we determined which combination of current genome sequencing and assembly approaches yield the most complete and accurate diploid genome assembly with minimal manual curation. Approaches that used highly accurate long reads and parent-child data with graph-based haplotype phasing during assembly outperformed those that did not. Developing a combination of the top-performing methods, we generated our first high-quality diploid reference assembly, containing only approximately four gaps per chromosome on average, with most chromosomes within ±1% of the length of CHM13. Nearly 48% of protein-coding genes have non-synonymous amino acid changes between haplotypes, and centromeric regions showed the highest diversity. Our findings serve as a foundation for assembling near-complete diploid human genomes at scale for a pangenome reference to capture global genetic variation from single nucleotides to structural rearrangements.

Published
2022

6. Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk

Author

Yin, Xianyong, Bose, Debraj, Kwon, Annie, Hanks, Sarah C, Jackson, Anne U, Stringham, Heather M, Welch, Ryan, Oravilahti, Anniina, Silva, Lilian Fernandes, FinnGen, Locke, Adam E, Fuchsberger, Christian, Service, Susan K, Erdos, Michael R, Bonnycastle, Lori L, Kuusisto, Johanna, Stitziel, Nathan O, Hall, Ira M, Morrison, Jean, Ripatti, Samuli, Palotie, Aarno, Freimer, Nelson B, Collins, Francis S, Mohlke, Karen L, Scott, Laura J, Fauman, Eric B, Burant, Charles, Boehnke, Michael, Laakso, Markku, and Wen, Xiaoquan

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Medical Biochemistry and Metabolomics, Nutrition, Biotechnology, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Bilirubin, Carnitine, Genome-Wide Association Study, Glycerophospholipids, Humans, Male, Metabolomics, Quantitative Trait Loci, Solute Carrier Family 22 Member 5, Transcriptome, FinnGen, colocalizataion, genome-wide association study, metabolomics, transcriptome-wide association study, transcriptomics, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Transcriptomics data have been integrated with genome-wide association studies (GWASs) to help understand disease/trait molecular mechanisms. The utility of metabolomics, integrated with transcriptomics and disease GWASs, to understand molecular mechanisms for metabolite levels or diseases has not been thoroughly evaluated. We performed probabilistic transcriptome-wide association and locus-level colocalization analyses to integrate transcriptomics results for 49 tissues in 706 individuals from the GTEx project, metabolomics results for 1,391 plasma metabolites in 6,136 Finnish men from the METSIM study, and GWAS results for 2,861 disease traits in 260,405 Finnish individuals from the FinnGen study. We found that genetic variants that regulate metabolite levels were more likely to influence gene expression and disease risk compared to the ones that do not. Integrating transcriptomics with metabolomics results prioritized 397 genes for 521 metabolites, including 496 previously identified gene-metabolite pairs with strong functional connections and suggested 33.3% of such gene-metabolite pairs shared the same causal variants with genetic associations of gene expression. Integrating transcriptomics and metabolomics individually with FinnGen GWAS results identified 1,597 genes for 790 disease traits. Integrating transcriptomics and metabolomics jointly with FinnGen GWAS results helped pinpoint metabolic pathways from genes to diseases. We identified putative causal effects of UGT1A1/UGT1A4 expression on gallbladder disorders through regulating plasma (E,E)-bilirubin levels, of SLC22A5 expression on nasal polyps and plasma carnitine levels through distinct pathways, and of LIPC expression on age-related macular degeneration through glycerophospholipid metabolic pathways. Our study highlights the power of integrating multiple sets of molecular traits and GWAS results to deepen understanding of disease pathophysiology.

Published
2022

8. The Human Pangenome Project: a global resource to map genomic diversity

Author

Wang, Ting, Antonacci-Fulton, Lucinda, Howe, Kerstin, Lawson, Heather A, Lucas, Julian K, Phillippy, Adam M, Popejoy, Alice B, Asri, Mobin, Carson, Caryn, Chaisson, Mark JP, Chang, Xian, Cook-Deegan, Robert, Felsenfeld, Adam L, Fulton, Robert S, Garrison, Erik P, Garrison, Nanibaa’ A, Graves-Lindsay, Tina A, Ji, Hanlee, Kenny, Eimear E, Koenig, Barbara A, Li, Daofeng, Marschall, Tobias, McMichael, Joshua F, Novak, Adam M, Purushotham, Deepak, Schneider, Valerie A, Schultz, Baergen I, Smith, Michael W, Sofia, Heidi J, Weissman, Tsachy, Flicek, Paul, Li, Heng, Miga, Karen H, Paten, Benedict, Jarvis, Erich D, Hall, Ira M, Eichler, Evan E, and Haussler, David

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Biotechnology, Generic health relevance, Genome, Human, Genomics, Haplotypes, High-Throughput Nucleotide Sequencing, Humans, Sequence Analysis, DNA, Human Pangenome Reference Consortium, General Science & Technology
Abstract

The human reference genome is the most widely used resource in human genetics and is due for a major update. Its current structure is a linear composite of merged haplotypes from more than 20 people, with a single individual comprising most of the sequence. It contains biases and errors within a framework that does not represent global human genomic variation. A high-quality reference with global representation of common variants, including single-nucleotide variants, structural variants and functional elements, is needed. The Human Pangenome Reference Consortium aims to create a more sophisticated and complete human reference genome with a graph-based, telomere-to-telomere representation of global genomic diversity. Here we leverage innovations in technology, study design and global partnerships with the goal of constructing the highest-possible quality human pangenome reference. Our goal is to improve data representation and streamline analyses to enable routine assembly of complete diploid genomes. With attention to ethical frameworks, the human pangenome reference will contain a more accurate and diverse representation of global genomic variation, improve gene-disease association studies across populations, expand the scope of genomics research to the most repetitive and polymorphic regions of the genome, and serve as the ultimate genetic resource for future biomedical research and precision medicine.

Published
2022

9. The complete sequence of a human genome

Author

Nurk, Sergey, Koren, Sergey, Rhie, Arang, Rautiainen, Mikko, Bzikadze, Andrey V, Mikheenko, Alla, Vollger, Mitchell R, Altemose, Nicolas, Uralsky, Lev, Gershman, Ariel, Aganezov, Sergey, Hoyt, Savannah J, Diekhans, Mark, Logsdon, Glennis A, Alonge, Michael, Antonarakis, Stylianos E, Borchers, Matthew, Bouffard, Gerard G, Brooks, Shelise Y, Caldas, Gina V, Chen, Nae-Chyun, Cheng, Haoyu, Chin, Chen-Shan, Chow, William, de Lima, Leonardo G, Dishuck, Philip C, Durbin, Richard, Dvorkina, Tatiana, Fiddes, Ian T, Formenti, Giulio, Fulton, Robert S, Fungtammasan, Arkarachai, Garrison, Erik, Grady, Patrick GS, Graves-Lindsay, Tina A, Hall, Ira M, Hansen, Nancy F, Hartley, Gabrielle A, Haukness, Marina, Howe, Kerstin, Hunkapiller, Michael W, Jain, Chirag, Jain, Miten, Jarvis, Erich D, Kerpedjiev, Peter, Kirsche, Melanie, Kolmogorov, Mikhail, Korlach, Jonas, Kremitzki, Milinn, Li, Heng, Maduro, Valerie V, Marschall, Tobias, McCartney, Ann M, McDaniel, Jennifer, Miller, Danny E, Mullikin, James C, Myers, Eugene W, Olson, Nathan D, Paten, Benedict, Peluso, Paul, Pevzner, Pavel A, Porubsky, David, Potapova, Tamara, Rogaev, Evgeny I, Rosenfeld, Jeffrey A, Salzberg, Steven L, Schneider, Valerie A, Sedlazeck, Fritz J, Shafin, Kishwar, Shew, Colin J, Shumate, Alaina, Sims, Ying, Smit, Arian FA, Soto, Daniela C, Sović, Ivan, Storer, Jessica M, Streets, Aaron, Sullivan, Beth A, Thibaud-Nissen, Françoise, Torrance, James, Wagner, Justin, Walenz, Brian P, Wenger, Aaron, Wood, Jonathan MD, Xiao, Chunlin, Yan, Stephanie M, Young, Alice C, Zarate, Samantha, Surti, Urvashi, McCoy, Rajiv C, Dennis, Megan Y, Alexandrov, Ivan A, Gerton, Jennifer L, O’Neill, Rachel J, Timp, Winston, Zook, Justin M, Schatz, Michael C, Eichler, Evan E, Miga, Karen H, and Phillippy, Adam M

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, Cell Line, Chromosomes, Artificial, Bacterial, Chromosomes, Human, Genome, Human, Human Genome Project, Humans, Reference Values, Sequence Analysis, DNA, General Science & Technology
Abstract

Since its initial release in 2000, the human reference genome has covered only the euchromatic fraction of the genome, leaving important heterochromatic regions unfinished. Addressing the remaining 8% of the genome, the Telomere-to-Telomere (T2T) Consortium presents a complete 3.055 billion-base pair sequence of a human genome, T2T-CHM13, that includes gapless assemblies for all chromosomes except Y, corrects errors in the prior references, and introduces nearly 200 million base pairs of sequence containing 1956 gene predictions, 99 of which are predicted to be protein coding. The completed regions include all centromeric satellite arrays, recent segmental duplications, and the short arms of all five acrocentric chromosomes, unlocking these complex regions of the genome to variational and functional studies.

Published
2022

10. Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Author

Yin, Xianyong, Chan, Lap Sum, Bose, Debraj, Jackson, Anne U, VandeHaar, Peter, Locke, Adam E, Fuchsberger, Christian, Stringham, Heather M, Welch, Ryan, Yu, Ketian, Fernandes Silva, Lilian, Service, Susan K, Zhang, Daiwei, Hector, Emily C, Young, Erica, Ganel, Liron, Das, Indraniel, Abel, Haley, Erdos, Michael R, Bonnycastle, Lori L, Kuusisto, Johanna, Stitziel, Nathan O, Hall, Ira M, Wagner, Gregory R, Kang, Jian, Morrison, Jean, Burant, Charles F, Collins, Francis S, Ripatti, Samuli, Palotie, Aarno, Freimer, Nelson B, Mohlke, Karen L, Scott, Laura J, Wen, Xiaoquan, Fauman, Eric B, Laakso, Markku, and Boehnke, Michael

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Medical Biochemistry and Metabolomics, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Alleles, Finland, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Phenotype, Polymorphism, Single Nucleotide, FinnGen
Abstract

Few studies have explored the impact of rare variants (minor allele frequency

Published
2022

11. Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences

Author

Ganel, Liron, Chen, Lei, Christ, Ryan, Vangipurapu, Jagadish, Young, Erica, Das, Indraniel, Kanchi, Krishna, Larson, David, Regier, Allison, Abel, Haley, Kang, Chul Joo, Scott, Alexandra, Havulinna, Aki, Chiang, Charleston WK, Service, Susan, Freimer, Nelson, Palotie, Aarno, Ripatti, Samuli, Kuusisto, Johanna, Boehnke, Michael, Laakso, Markku, Locke, Adam, Stitziel, Nathan O, and Hall, Ira M

Subjects
Biological Sciences, Genetics, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Apoptosis Regulatory Proteins, Cell Lineage, DNA Copy Number Variations, DNA, Mitochondrial, Female, GTP-Binding Proteins, Genetic Predisposition to Disease, Genome, Mitochondrial, Genome-Wide Association Study, Humans, Male, Membrane Proteins, Mendelian Randomization Analysis, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-myb, Sequence Analysis, DNA, Exome Sequencing, Metabolic syndrome, Mitochondrial content, Human genetics, Human genome sequencing, Genome-wide association studies, Mendelian randomization, Genetics & Heredity, Biochemistry and cell biology
Abstract

BackgroundMitochondrial genome copy number (MT-CN) varies among humans and across tissues and is highly heritable, but its causes and consequences are not well understood. When measured by bulk DNA sequencing in blood, MT-CN may reflect a combination of the number of mitochondria per cell and cell-type composition. Here, we studied MT-CN variation in blood-derived DNA from 19184 Finnish individuals using a combination of genome (N = 4163) and exome sequencing (N = 19034) data as well as imputed genotypes (N = 17718).ResultsWe identified two loci significantly associated with MT-CN variation: a common variant at the MYB-HBS1L locus (P = 1.6 × 10-8), which has previously been associated with numerous hematological parameters; and a burden of rare variants in the TMBIM1 gene (P = 3.0 × 10-8), which has been reported to protect against non-alcoholic fatty liver disease. We also found that MT-CN is strongly associated with insulin levels (P = 2.0 × 10-21) and other metabolic syndrome (metS)-related traits. Using a Mendelian randomization framework, we show evidence that MT-CN measured in blood is causally related to insulin levels. We then applied an MT-CN polygenic risk score (PRS) derived from Finnish data to the UK Biobank, where the association between the PRS and metS traits was replicated. Adjusting for cell counts largely eliminated these signals, suggesting that MT-CN affects metS via cell-type composition.ConclusionThese results suggest that measurements of MT-CN in blood-derived DNA partially reflect differences in cell-type composition and that these differences are causally linked to insulin and related traits.

Published
2021

12. A draft human pangenome reference

Author

Liao, Wen-Wei, Asri, Mobin, Ebler, Jana, Doerr, Daniel, Haukness, Marina, Hickey, Glenn, Lu, Shuangjia, Lucas, Julian K., Monlong, Jean, Abel, Haley J., Buonaiuto, Silvia, Chang, Xian H., Cheng, Haoyu, Chu, Justin, Colonna, Vincenza, Eizenga, Jordan M., Feng, Xiaowen, Fischer, Christian, Fulton, Robert S., Garg, Shilpa, Groza, Cristian, Guarracino, Andrea, Harvey, William T., Heumos, Simon, Howe, Kerstin, Jain, Miten, Lu, Tsung-Yu, Markello, Charles, Martin, Fergal J., Mitchell, Matthew W., Munson, Katherine M., Mwaniki, Moses Njagi, Novak, Adam M., Olsen, Hugh E., Pesout, Trevor, Porubsky, David, Prins, Pjotr, Sibbesen, Jonas A., Sirén, Jouni, Tomlinson, Chad, Villani, Flavia, Vollger, Mitchell R., Antonacci-Fulton, Lucinda L., Baid, Gunjan, Baker, Carl A., Belyaeva, Anastasiya, Billis, Konstantinos, Carroll, Andrew, Chang, Pi-Chuan, Cody, Sarah, Cook, Daniel E., Cook-Deegan, Robert M., Cornejo, Omar E., Diekhans, Mark, Ebert, Peter, Fairley, Susan, Fedrigo, Olivier, Felsenfeld, Adam L., Formenti, Giulio, Frankish, Adam, Gao, Yan, Garrison, Nanibaa’ A., Giron, Carlos Garcia, Green, Richard E., Haggerty, Leanne, Hoekzema, Kendra, Hourlier, Thibaut, Ji, Hanlee P., Kenny, Eimear E., Koenig, Barbara A., Kolesnikov, Alexey, Korbel, Jan O., Kordosky, Jennifer, Koren, Sergey, Lee, HoJoon, Lewis, Alexandra P., Magalhães, Hugo, Marco-Sola, Santiago, Marijon, Pierre, McCartney, Ann, McDaniel, Jennifer, Mountcastle, Jacquelyn, Nattestad, Maria, Nurk, Sergey, Olson, Nathan D., Popejoy, Alice B., Puiu, Daniela, Rautiainen, Mikko, Regier, Allison A., Rhie, Arang, Sacco, Samuel, Sanders, Ashley D., Schneider, Valerie A., Schultz, Baergen I., Shafin, Kishwar, Smith, Michael W., Sofia, Heidi J., Abou Tayoun, Ahmad N., Thibaud-Nissen, Françoise, Tricomi, Francesca Floriana, Wagner, Justin, Walenz, Brian, Wood, Jonathan M. D., Zimin, Aleksey V., Bourque, Guillaume, Chaisson, Mark J. P., Flicek, Paul, Phillippy, Adam M., Zook, Justin M., Eichler, Evan E., Haussler, David, Wang, Ting, Jarvis, Erich D., Miga, Karen H., Garrison, Erik, Marschall, Tobias, Hall, Ira M., Li, Heng, and Paten, Benedict

Published
2023
Full Text
View/download PDF

13. Association of structural variation with cardiometabolic traits in Finns

Author

Chen, Lei, Abel, Haley J, Das, Indraniel, Larson, David E, Ganel, Liron, Kanchi, Krishna L, Regier, Allison A, Young, Erica P, Kang, Chul Joo, Scott, Alexandra J, Chiang, Colby, Wang, Xinxin, Lu, Shuangjia, Christ, Ryan, Service, Susan K, Chiang, Charleston WK, Havulinna, Aki S, Kuusisto, Johanna, Boehnke, Michael, Laakso, Markku, Palotie, Aarno, Ripatti, Samuli, Freimer, Nelson B, Locke, Adam E, Stitziel, Nathan O, and Hall, Ira M

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Alleles, Cardiovascular Diseases, Cholesterol, DNA Copy Number Variations, Female, Finland, Genome, Human, Genomic Structural Variation, Genotype, High-Throughput Nucleotide Sequencing, Humans, Male, Mitochondrial Proteins, Promoter Regions, Genetic, Pyruvate Dehydrogenase (Lipoamide)-Phosphatase, Pyruvic Acid, Serum Albumin, Human, Finnish population, cardiometabolic traits, genome-wide association study, structural variation, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

The contribution of genome structural variation (SV) to quantitative traits associated with cardiometabolic diseases remains largely unknown. Here, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. We used sensitive methods to identify and genotype 129,166 high-confidence SVs from deep whole-genome sequencing (WGS) data of 4,848 individuals. We tested the 64,572 common and low-frequency SVs for association with 116 quantitative traits and tested candidate associations using exome sequencing and array genotype data from an additional 15,205 individuals. We discovered 31 genome-wide significant associations at 15 loci, including 2 loci at which SVs have strong phenotypic effects: (1) a deletion of the ALB promoter that is greatly enriched in the Finnish population and causes decreased serum albumin level in carriers (p = 1.47 × 10-54) and is also associated with increased levels of total cholesterol (p = 1.22 × 10-28) and 14 additional cholesterol-related traits, and (2) a multi-allelic copy number variant (CNV) at PDPR that is strongly associated with pyruvate (p = 4.81 × 10-21) and alanine (p = 6.14 × 10-12) levels and resides within a structurally complex genomic region that has accumulated many rearrangements over evolutionary time. We also confirmed six previously reported associations, including five led by stronger signals in single nucleotide variants (SNVs) and one linking recurrent HP gene deletion and cholesterol levels (p = 6.24 × 10-10), which was also found to be strongly associated with increased glycoprotein level (p = 3.53 × 10-35). Our study confirms that integrating SVs in trait-mapping studies will expand our knowledge of genetic factors underlying disease risk.

Published
2021

14. Pan-conserved segment tags identify ultra-conserved sequences across assemblies in the human pangenome

Author

Liao, Wen-Wei, Asri, Mobin, Ebler, Jana, Doerr, Daniel, Haukness, Marina, Hickey, Glenn, Lu, Shuangjia, Lucas, Julian K., Monlong, Jean, Abel, Haley J., Buonaiuto, Silvia, Chang, Xian H., Cheng, Haoyu, Chu, Justin, Colonna, Vincenza, Eizenga, Jordan M., Feng, Xiaowen, Fischer, Christian, Fulton, Robert S., Garg, Shilpa, Groza, Cristian, Guarracino, Andrea, Harvey, William T., Heumos, Simon, Howe, Kerstin, Jain, Miten, Lu, Tsung-Yu, Markello, Charles, Martin, Fergal J., Mitchell, Matthew W., Munson, Katherine M., Mwaniki, Moses Njagi, Novak, Adam M., Olsen, Hugh E., Pesout, Trevor, Porubsky, David, Prins, Pjotr, Sibbesen, Jonas A., Tomlinson, Chad, Villani, Flavia, Vollger, Mitchell R., Antonacci-Fulton, Lucinda L., Baid, Gunjan, Baker, Carl A., Belyaeva, Anastasiya, Billis, Konstantinos, Carroll, Andrew, Chang, Pi-Chuan, Cody, Sarah, Cook, Daniel E., Cornejo, Omar E., Diekhans, Mark, Ebert, Peter, Fairley, Susan, Fedrigo, Olivier, Felsenfeld, Adam L., Formenti, Giulio, Frankish, Adam, Gao, Yan, Giron, Carlos Garcia, Green, Richard E., Haggerty, Leanne, Hoekzema, Kendra, Hourlier, Thibaut, Ji, Hanlee P., Kolesnikov, Alexey, Korbel, Jan O., Kordosky, Jennifer, Lee, HoJoon, Lewis, Alexandra P., Magalhães, Hugo, Marco-Sola, Santiago, Marijon, Pierre, McDaniel, Jennifer, Mountcastle, Jacquelyn, Nattestad, Maria, Olson, Nathan D., Puiu, Daniela, Regier, Allison A., Rhie, Arang, Sacco, Samuel, Sanders, Ashley D., Schneider, Valerie A., Schultz, Baergen I., Shafin, Kishwar, Sirén, Jouni, Smith, Michael W., Sofia, Heidi J., Abou Tayoun, Ahmad N., Thibaud-Nissen, Françoise, Tricomi, Francesca Floriana, Wagner, Justin, Wood, Jonathan M.D., Zimin, Aleksey V., Popejoy, Alice B., Bourque, Guillaume, Chaisson, Mark J.P., Flicek, Paul, Phillippy, Adam M., Zook, Justin M., Eichler, Evan E., Haussler, David, Jarvis, Erich D., Miga, Karen H., Wang, Ting, Garrison, Erik, Marschall, Tobias, Hall, Ira, Li, Heng, Paten, Benedict, Greer, Stephanie U., Pavlichin, Dmitri S., Zhou, Bo, Urban, Alexander E., and Weissman, Tsachy

Published
2023
Full Text
View/download PDF

15. Telomere-to-telomere assembly of a complete human X chromosome

Author

Miga, Karen H, Koren, Sergey, Rhie, Arang, Vollger, Mitchell R, Gershman, Ariel, Bzikadze, Andrey, Brooks, Shelise, Howe, Edmund, Porubsky, David, Logsdon, Glennis A, Schneider, Valerie A, Potapova, Tamara, Wood, Jonathan, Chow, William, Armstrong, Joel, Fredrickson, Jeanne, Pak, Evgenia, Tigyi, Kristof, Kremitzki, Milinn, Markovic, Christopher, Maduro, Valerie, Dutra, Amalia, Bouffard, Gerard G, Chang, Alexander M, Hansen, Nancy F, Wilfert, Amy B, Thibaud-Nissen, Françoise, Schmitt, Anthony D, Belton, Jon-Matthew, Selvaraj, Siddarth, Dennis, Megan Y, Soto, Daniela C, Sahasrabudhe, Ruta, Kaya, Gulhan, Quick, Josh, Loman, Nicholas J, Holmes, Nadine, Loose, Matthew, Surti, Urvashi, Risques, Rosa ana, Graves Lindsay, Tina A, Fulton, Robert, Hall, Ira, Paten, Benedict, Howe, Kerstin, Timp, Winston, Young, Alice, Mullikin, James C, Pevzner, Pavel A, Gerton, Jennifer L, Sullivan, Beth A, Eichler, Evan E, and Phillippy, Adam M

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Bioengineering, Nanotechnology, Human Genome, Generic health relevance, Centromere, Chromosomes, Human, X, CpG Islands, DNA Methylation, DNA, Satellite, Female, Genome, Human, Humans, Hydatidiform Mole, Male, Pregnancy, Reproducibility of Results, Telomere, Testis, General Science & Technology
Abstract

After two decades of improvements, the current human reference genome (GRCh38) is the most accurate and complete vertebrate genome ever produced. However, no single chromosome has been finished end to end, and hundreds of unresolved gaps persist1,2. Here we present a human genome assembly that surpasses the continuity of GRCh382, along with a gapless, telomere-to-telomere assembly of a human chromosome. This was enabled by high-coverage, ultra-long-read nanopore sequencing of the complete hydatidiform mole CHM13 genome, combined with complementary technologies for quality improvement and validation. Focusing our efforts on the human X chromosome3, we reconstructed the centromeric satellite DNA array (approximately 3.1 Mb) and closed the 29 remaining gaps in the current reference, including new sequences from the human pseudoautosomal regions and from cancer-testis ampliconic gene families (CT-X and GAGE). These sequences will be integrated into future human reference genome releases. In addition, the complete chromosome X, combined with the ultra-long nanopore data, allowed us to map methylation patterns across complex tandem repeats and satellite arrays. Our results demonstrate that finishing the entire human genome is now within reach, and the data presented here will facilitate ongoing efforts to complete the other human chromosomes.

Published
2020

16. Mapping and characterization of structural variation in 17,795 human genomes

Author

Abel, Haley J, Larson, David E, Regier, Allison A, Chiang, Colby, Das, Indraniel, Kanchi, Krishna L, Layer, Ryan M, Neale, Benjamin M, Salerno, William J, Reeves, Catherine, Buyske, Steven, Matise, Tara C, Muzny, Donna M, Zody, Michael C, Lander, Eric S, Dutcher, Susan K, Stitziel, Nathan O, and Hall, Ira M

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, Generic health relevance, Alleles, Case-Control Studies, Epigenesis, Genetic, Female, Gene Dosage, Genetic Variation, Genetics, Population, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Molecular Sequence Annotation, Quantitative Trait Loci, Racial Groups, Software, Whole Genome Sequencing, NHGRI Centers for Common Disease Genomics, General Science & Technology
Abstract

A key goal of whole-genome sequencing for studies of human genetics is to interrogate all forms of variation, including single-nucleotide variants, small insertion or deletion (indel) variants and structural variants. However, tools and resources for the study of structural variants have lagged behind those for smaller variants. Here we used a scalable pipeline1 to map and characterize structural variants in 17,795 deeply sequenced human genomes. We publicly release site-frequency data to create the largest, to our knowledge, whole-genome-sequencing-based structural variant resource so far. On average, individuals carry 2.9 rare structural variants that alter coding regions; these variants affect the dosage or structure of 4.2 genes and account for 4.0-11.2% of rare high-impact coding alleles. Using a computational model, we estimate that structural variants account for 17.2% of rare alleles genome-wide, with predicted deleterious effects that are equivalent to loss-of-function coding alleles; approximately 90% of such structural variants are noncoding deletions (mean 19.1 per genome). We report 158,991 ultra-rare structural variants and show that 2% of individuals carry ultra-rare megabase-scale structural variants, nearly half of which are balanced or complex rearrangements. Finally, we infer the dosage sensitivity of genes and noncoding elements, and reveal trends that relate to element class and conservation. This work will help to guide the analysis and interpretation of structural variants in the era of whole-genome sequencing.

Published
2020

17. Exome sequencing of Finnish isolates enhances rare-variant association power

Author

Locke, Adam E, Steinberg, Karyn Meltz, Chiang, Charleston WK, Service, Susan K, Havulinna, Aki S, Stell, Laurel, Pirinen, Matti, Abel, Haley J, Chiang, Colby C, Fulton, Robert S, Jackson, Anne U, Kang, Chul Joo, Kanchi, Krishna L, Koboldt, Daniel C, Larson, David E, Nelson, Joanne, Nicholas, Thomas J, Pietilä, Arto, Ramensky, Vasily, Ray, Debashree, Scott, Laura J, Stringham, Heather M, Vangipurapu, Jagadish, Welch, Ryan, Yajnik, Pranav, Yin, Xianyong, Eriksson, Johan G, Ala-Korpela, Mika, Järvelin, Marjo-Riitta, Männikkö, Minna, Laivuori, Hannele, Dutcher, Susan K, Stitziel, Nathan O, Wilson, Richard K, Hall, Ira M, Sabatti, Chiara, Palotie, Aarno, Salomaa, Veikko, Laakso, Markku, Ripatti, Samuli, Boehnke, Michael, and Freimer, Nelson B

Subjects
Medical Biochemistry and Metabolomics, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Alleles, Cholesterol, HDL, Cluster Analysis, Endpoint Determination, Finland, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Geographic Mapping, Humans, Multifactorial Inheritance, Quantitative Trait Loci, Reproducibility of Results, Exome Sequencing, FinnGen Project, General Science & Technology
Abstract

Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of rare coding variants in clinically relevant quantitative cardiometabolic traits. Exome-wide association studies for 64 quantitative traits identified 26 newly associated deleterious alleles. Of these 26 alleles, 19 are either unique to or more than 20 times more frequent in Finnish individuals than in other Europeans and show geographical clustering comparable to Mendelian disease mutations that are characteristic of the Finnish population. We estimate that sequencing studies of populations without this unique history would require hundreds of thousands to millions of participants to achieve comparable association power.

Published
2019

18. High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios

Author

Eichler, Evan E., Korbel, Jan O., Lee, Charles, Marschall, Tobias, Devine, Scott E., Harvey, William T., Zhou, Weichen, Mills, Ryan E., Rausch, Tobias, Kumar, Sushant, Alkan, Can, Hormozdiari, Fereydoun, Chong, Zechen, Chen, Yu, Yang, Xiaofei, Lin, Jiadong, Gerstein, Mark B., Kai, Ye, Zhu, Qihui, Yilmaz, Feyza, Xiao, Chunlin, Byrska-Bishop, Marta, Evani, Uday S., Zhao, Xuefang, Basile, Anna O., Abel, Haley J., Regier, Allison A., Corvelo, André, Clarke, Wayne E., Musunuri, Rajeeva, Nagulapalli, Kshithija, Fairley, Susan, Runnels, Alexi, Winterkorn, Lara, Lowy, Ernesto, Paul Flicek, Germer, Soren, Brand, Harrison, Hall, Ira M., Talkowski, Michael E., Narzisi, Giuseppe, and Zody, Michael C.

Published
2022
Full Text
View/download PDF

19. Mako: A Graph-based Pattern Growth Approach to Detect Complex Structural Variants

Author

Gerstein, Mark B., Sanders, Ashley D., Zody, Micheal C., Talkowski, Michael E., Mills, Ryan E., Korbel, Jan O., Marschall, Tobias, Ebert, Peter, Audano, Peter A., Rodriguez-Martin, Bernardo, Porubsky, David, Jan Bonder, Marc, Sulovari, Arvis, Ebler, Jana, Zhou, Weichen, Serra Mari, Rebecca, Yilmaz, Feyza, Zhao, Xuefang, Hsieh, PingHsun, Lee, Joyce, Kumar, Sushant, Rausch, Tobias, Chen, Yu, Chong, Zechen, Munson, Katherine M., Chaisson, Mark J.P., Chen, Junjie, Shi, Xinghua, Wenger, Aaron M., Harvey, William T., Hansenfeld, Patrick, Regier, Allison, Hall, Ira M., Flicek, Paul, Hastie, Alex R., Fairely, Susan, Lin, Jiadong, Yang, Xiaofei, Kosters, Walter, Xu, Tun, Jia, Yanyan, Wang, Songbo, Zhu, Qihui, Ryan, Mallory, Guo, Li, Zhang, Chengsheng, Lee, Charles, Devine, Scott E., Eichler, Evan E., and Ye, Kai

Published
2022
Full Text
View/download PDF

20. Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space

Author

Baumann, Alexander, Rula, Andrew, Kovalsy, Anton, Bernard, Clare, Caetano-Anollés, Derek, Van der Auwera, Geraldine A., Canas, Justin, Yuksel, Kaan, Herman, Kate, Taylor, M. Morgan, Simeon, Marianie, Baumann, Michael, Wang, Qi, Title, Robert, Munshi, Ruchi, Chaluvadi, Sushma, Reeves, Valerie, Disman, William, Thomas, Salin, Hajian, Allie, Kiernan, Elizabeth, Gupta, Namrata, Vosburg, Trish, Geistlinger, Ludwig, Ramos, Marcel, Oh, Sehyun, Rogers, Dave, McDade, Frances, Hastie, Mim, Turaga, Nitesh, Ostrovsky, Alexander, Mahmoud, Alexandru, Baker, Dannon, Clements, Dave, Cox, Katherine E.L., Suderman, Keith, Kucher, Nataliya, Golitsynskiy, Sergey, Zarate, Samantha, Wheelan, Sarah J., Kammers, Kai, Stevens, Ana, Hutter, Carolyn, Wellington, Christopher, Ghanaim, Elena M., Wiley, Ken L., Jr., Sen, Shurjo K., Di Francesco, Valentina, s Yuen, Deni, Walsh, Brian, Sargent, Luke, Jalili, Vahid, Chilton, John, Shepherd, Lori, Stubbs, B.J., O’Farrell, Ash, Vizzier, Benton A., Jr., Overbeck, Charles, Reid, Charles, Steinberg, David Charles, Sheets, Elizabeth A., Lucas, Julian, Blauvelt, Lon, Cabansay, Louise, Warren, Noah, Hannafious, Brian, Harris, Tim, Reddy, Radhika, Torstenson, Eric, Banasiewicz, M. Katie, Abel, Haley J., Walker, Jason, Schatz, Michael C., Philippakis, Anthony A., Afgan, Enis, Banks, Eric, Carey, Vincent J., Carroll, Robert J., Culotti, Alessandro, Ellrott, Kyle, Goecks, Jeremy, Grossman, Robert L., Hall, Ira M., Hansen, Kasper D., Lawson, Jonathan, Leek, Jeffrey T., Luria, Anne O’Donnell, Mosher, Stephen, Morgan, Martin, Nekrutenko, Anton, O’Connor, Brian D., Osborn, Kevin, Paten, Benedict, Patterson, Candace, Tan, Frederick J., Taylor, Casey Overby, Vessio, Jennifer, Waldron, Levi, Wang, Ting, and Wuichet, Kristin

Published
2022
Full Text
View/download PDF

21. Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Author

Anand, Shankara, Gabriel, Stacey, Getz, Gad A., Graubert, Aaron, Hadley, Kane, Handsaker, Robert E., Huang, Katherine H., Li, Xiao, MacArthur, Daniel G., Meier, Samuel R., Nedzel, Jared L., Nguyen, Duyen T., Segrè, Ayellet V., Todres, Ellen, Balliu, Brunilda, Bonazzola, Rodrigo, Brown, Andrew, Conrad, Donald F., Cotter, Daniel J., Cox, Nancy, Das, Sayantan, Dermitzakis, Emmanouil T., Einson, Jonah, Engelhardt, Barbara E., Eskin, Eleazar, Flynn, Elise D., Fresard, Laure, Gamazon, Eric R., Garrido-Martín, Diego, Gay, Nicole R., Guigó, Roderic, Hamel, Andrew R., He, Yuan, Hoffman, Paul J., Hormozdiari, Farhad, Hou, Lei, Jo, Brian, Kasela, Silva, Kashin, Seva, Kellis, Manolis, Kwong, Alan, Li, Xin, Liang, Yanyu, Mangul, Serghei, Mohammadi, Pejman, Muñoz-Aguirre, Manuel, Nobel, Andrew B., Oliva, Meritxell, Park, Yongjin, Parsana, Princy, Reverter, Ferran, Rouhana, John M., Sabatti, Chiara, Saha, Ashis, Stephens, Matthew, Stranger, Barbara E., Teran, Nicole A., Viñuela, Ana, Wang, Gao, Wright, Fred, Wucher, Valentin, Zou, Yuxin, Ferreira, Pedro G., Li, Gen, Melé, Marta, Yeger-Lotem, Esti, Bradbury, Debra, Krubit, Tanya, McLean, Jeffrey A., Qi, Liqun, Robinson, Karna, Roche, Nancy V., Smith, Anna M., Tabor, David E., Undale, Anita, Bridge, Jason, Brigham, Lori E., Foster, Barbara A., Gillard, Bryan M., Hasz, Richard, Hunter, Marcus, Johns, Christopher, Johnson, Mark, Karasik, Ellen, Kopen, Gene, Leinweber, William F., McDonald, Alisa, Moser, Michael T., Myer, Kevin, Ramsey, Kimberley D., Roe, Brian, Shad, Saboor, Thomas, Jeffrey A., Walters, Gary, Washington, Michael, Wheeler, Joseph, Jewell, Scott D., Rohrer, Daniel C., Valley, Dana R., Davis, David A., Mash, Deborah C., Barcus, Mary E., Branton, Philip A., Sobin, Leslie, Barker, Laura K., Gardiner, Heather M., Mosavel, Maghboeba, Siminoff, Laura A., Flicek, Paul, Haeussler, Maximilian, Juettemann, Thomas, Kent, W. James, Lee, Christopher M., Powell, Conner C., Rosenbloom, Kate R., Ruffier, Magali, Sheppard, Dan, Taylor, Kieron, Trevanion, Stephen J., Zerbino, Daniel R., Abell, Nathan S., Akey, Joshua, Chen, Lin, Demanelis, Kathryn, Doherty, Jennifer A., Feinberg, Andrew P., Hansen, Kasper D., Hickey, Peter F., Jasmine, Farzana, Jiang, Lihua, Kaul, Rajinder, Kibriya, Muhammad G., Li, Jin Billy, Li, Qin, Lin, Shin, Linder, Sandra E., Pierce, Brandon L., Rizzardi, Lindsay F., Skol, Andrew D., Smith, Kevin S., Snyder, Michael, Stamatoyannopoulos, John, Tang, Hua, Wang, Meng, Carithers, Latarsha J., Guan, Ping, Koester, Susan E., Little, A. Roger, Moore, Helen M., Nierras, Concepcion R., Rao, Abhi K., Vaught, Jimmie B., Volpi, Simona, de Goede, Olivia M., Nachun, Daniel C., Ferraro, Nicole M., Gloudemans, Michael J., Rao, Abhiram S., Smail, Craig, Eulalio, Tiffany Y., Aguet, François, Ng, Bernard, Xu, Jishu, Barbeira, Alvaro N., Castel, Stephane E., Kim-Hellmuth, Sarah, Park, YoSon, Scott, Alexandra J., Strober, Benjamin J., Brown, Christopher D., Wen, Xiaoquan, Hall, Ira M., Battle, Alexis, Lappalainen, Tuuli, Im, Hae Kyung, Ardlie, Kristin G., Mostafavi, Sara, Quertermous, Thomas, Kirkegaard, Karla, and Montgomery, Stephen B.

Published
2021
Full Text
View/download PDF

22. Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis

Author

Yang, Fan, Wang, Jiebiao, Consortium, The GTEx, Pierce, Brandon L, Chen, Lin S, Aguet, François, Ardlie, Kristin G, Cummings, Beryl B, Gelfand, Ellen T, Getz, Gad, Hadley, Kane, Handsaker, Robert E, Huang, Katherine H, Kashin, Seva, Karczewski, Konrad J, Lek, Monkol, Li, Xiao, MacArthur, Daniel G, Nedzel, Jared L, Nguyen, Duyen T, Noble, Michael S, Segrè, Ayellet V, Trowbridge, Casandra A, Tukiainen, Taru, Abell, Nathan S, Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K, Brown, Andrew, Brown, Christopher D, Castel, Stephane E, Chiang, Colby, Conrad, Donald F, Cox, Nancy J, Damani, Farhan N, Davis, Joe R, Delaneau, Olivier, Dermitzakis, Emmanouil T, Engelhardt, Barbara E, Eskin, Eleazar, Ferreira, Pedro G, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gewirtz, Ariel DH, Gliner, Genna, Gloudemans, Michael J, Guigo, Roderic, Hall, Ira M, Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Im, Hae Kyung, Jo, Brian, Kang, Eun Yong, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I, McDowell, Ian C, Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B, Muñoz-Aguirre, Manuel, Ndungu, Anne W, Nicolae, Dan L, Nobel, Andrew B, Oliva, Meritxell, Ongen, Halit, Palowitch, John J, Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J, Peterson, Christine B, Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J, Shabalin, Andrey A, Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E, Strober, Benjamin J, Sul, Jae Hoon, Tsang, Emily K, Urbut, Sarah, van de Bunt, Martijn, and Wang, Gao

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Human Genome, 2.1 Biological and endogenous factors, Underpinning research, Aetiology, 1.1 Normal biological development and functioning, Generic health relevance, Good Health and Well Being, Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, Gene Regulatory Networks, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Selection, Genetic, Tissue Distribution, GTEx Consortium, Medical and Health Sciences, Bioinformatics
Abstract

The impact of inherited genetic variation on gene expression in humans is well-established. The majority of known expression quantitative trait loci (eQTLs) impact expression of local genes (cis-eQTLs). More research is needed to identify effects of genetic variation on distant genes (trans-eQTLs) and understand their biological mechanisms. One common trans-eQTLs mechanism is "mediation" by a local (cis) transcript. Thus, mediation analysis can be applied to genome-wide SNP and expression data in order to identify transcripts that are "cis-mediators" of trans-eQTLs, including those "cis-hubs" involved in regulation of many trans-genes. Identifying such mediators helps us understand regulatory networks and suggests biological mechanisms underlying trans-eQTLs, both of which are relevant for understanding susceptibility to complex diseases. The multitissue expression data from the Genotype-Tissue Expression (GTEx) program provides a unique opportunity to study cis-mediation across human tissue types. However, the presence of complex hidden confounding effects in biological systems can make mediation analyses challenging and prone to confounding bias, particularly when conducted among diverse samples. To address this problem, we propose a new method: Genomic Mediation analysis with Adaptive Confounding adjustment (GMAC). It enables the search of a very large pool of variables, and adaptively selects potential confounding variables for each mediation test. Analyses of simulated data and GTEx data demonstrate that the adaptive selection of confounders by GMAC improves the power and precision of mediation analysis. Application of GMAC to GTEx data provides new insights into the observed patterns of cis-hubs and trans-eQTL regulation across tissue types.

Published
2017

23. Co-expression networks reveal the tissue-specific regulation of transcription and splicing

Author

Saha, Ashis, Kim, Yungil, Gewirtz, Ariel DH, Jo, Brian, Gao, Chuan, McDowell, Ian C, Consortium, The GTEx, Engelhardt, Barbara E, Battle, Alexis, Aguet, François, Ardlie, Kristin G, Cummings, Beryl B, Gelfand, Ellen T, Getz, Gad, Hadley, Kane, Handsaker, Robert E, Huang, Katherine H, Kashin, Seva, Karczewski, Konrad J, Lek, Monkol, Li, Xiao, MacArthur, Daniel G, Nedzel, Jared L, Nguyen, Duyen T, Noble, Michael S, Segrè, Ayellet V, Trowbridge, Casandra A, Tukiainen, Taru, Abell, Nathan S, Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Bogu, Gireesh K, Brown, Andrew, Brown, Christopher D, Castel, Stephane E, Chen, Lin S, Chiang, Colby, Conrad, Donald F, Cox, Nancy J, Damani, Farhan N, Davis, Joe R, Delaneau, Olivier, Dermitzakis, Emmanouil T, Eskin, Eleazar, Ferreira, Pedro G, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gliner, Genna, Gloudemans, Michael J, Guigo, Roderic, Hall, Ira M, Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Im, Hae Kyung, Kang, Eun Yong, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I, Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B, Muñoz-Aguirre, Manuel, Ndungu, Anne W, Nicolae, Dan L, Nobel, Andrew B, Oliva, Meritxell, Ongen, Halit, Palowitch, John J, Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J, Peterson, Christine B, Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Sammeth, Michael, Scott, Alexandra J, Shabalin, Andrey A, Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E, Strober, Benjamin J, and Sul, Jae Hoon

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Human Genome, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Generic health relevance, Bayes Theorem, Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, Gene Regulatory Networks, Genotyping Techniques, Humans, Organ Specificity, Polymorphism, Single Nucleotide, RNA Splicing, Sequence Analysis, RNA, GTEx Consortium, Medical and Health Sciences, Bioinformatics
Abstract

Gene co-expression networks capture biologically important patterns in gene expression data, enabling functional analyses of genes, discovery of biomarkers, and interpretation of genetic variants. Most network analyses to date have been limited to assessing correlation between total gene expression levels in a single tissue or small sets of tissues. Here, we built networks that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a diverse set of tissues. We used the Genotype-Tissue Expression (GTEx) project v6 RNA sequencing data across 50 tissues and 449 individuals. First, we developed a framework called Transcriptome-Wide Networks (TWNs) for combining total expression and relative isoform levels into a single sparse network, capturing the interplay between the regulation of splicing and transcription. We built TWNs for 16 tissues and found that hubs in these networks were strongly enriched for splicing and RNA binding genes, demonstrating their utility in unraveling regulation of splicing in the human transcriptome. Next, we used a Bayesian biclustering model that identifies network edges unique to a single tissue to reconstruct Tissue-Specific Networks (TSNs) for 26 distinct tissues and 10 groups of related tissues. Finally, we found genetic variants associated with pairs of adjacent nodes in our networks, supporting the estimated network structures and identifying 20 genetic variants with distant regulatory impact on transcription and splicing. Our networks provide an improved understanding of the complex relationships of the human transcriptome across tissues.

Published
2017

24. Dynamic landscape and regulation of RNA editing in mammals

Author

Aguet, François, Ardlie, Kristin G, Cummings, Beryl B, Gelfand, Ellen T, Getz, Gad, Hadley, Kane, Handsaker, Robert E, Huang, Katherine H, Kashin, Seva, Karczewski, Konrad J, Lek, Monkol, Li, Xiao, MacArthur, Daniel G, Nedzel, Jared L, Nguyen, Duyen T, Noble, Michael S, Segrè, Ayellet V, Trowbridge, Casandra A, Tukiainen, Taru, Abell, Nathan S, Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K, Brown, Andrew, Brown, Christopher D, Castel, Stephane E, Chen, Lin S, Chiang, Colby, Conrad, Donald F, Cox, Nancy J, Damani, Farhan N, Davis, Joe R, Delaneau, Olivier, Dermitzakis, Emmanouil T, Engelhardt, Barbara E, Eskin, Eleazar, Ferreira, Pedro G, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gewirtz, Ariel DH, Gliner, Genna, Gloudemans, Michael J, Guigo, Roderic, Hall, Ira M, Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I, McDowell, Ian C, Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B, Muñoz-Aguirre, Manuel, Ndungu, Anne W, Nicolae, Dan L, Nobel, Andrew B, Oliva, Meritxell, Ongen, Halit, Palowitch, John J, Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J, Peterson, Christine B, Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J, Shabalin, Andrey A, Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E, Strober, Benjamin J, Sul, Jae Hoon, Tsang, Emily K, Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A, Xi, Hualin S, Yeger-Lotem, Esti, and Zappala, Zachary

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Adenosine Deaminase, Animals, Female, Genotype, HEK293 Cells, Humans, Male, Mice, Muscles, Nuclear Proteins, Organ Specificity, Primates, Proteolysis, RNA Editing, RNA-Binding Proteins, Spatio-Temporal Analysis, Species Specificity, Transcriptome, GTEx Consortium, Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group, Statistical Methods groups—Analysis Working Group, Enhancing GTEx (eGTEx) groups, NIH Common Fund, NIH/NCI, NIH/NHGRI, NIH/NIMH, NIH/NIDA, Biospecimen Collection Source Site—NDRI, Biospecimen Collection Source Site—RPCI, Biospecimen Core Resource—VARI, Brain Bank Repository—University of Miami Brain Endowment Bank, Leidos Biomedical—Project Management, ELSI Study, Genome Browser Data Integration &Visualization—EBI, Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz, General Science & Technology
Abstract

Adenosine-to-inosine (A-to-I) RNA editing is a conserved post-transcriptional mechanism mediated by ADAR enzymes that diversifies the transcriptome by altering selected nucleotides in RNA molecules. Although many editing sites have recently been discovered, the extent to which most sites are edited and how the editing is regulated in different biological contexts are not fully understood. Here we report dynamic spatiotemporal patterns and new regulators of RNA editing, discovered through an extensive profiling of A-to-I RNA editing in 8,551 human samples (representing 53 body sites from 552 individuals) from the Genotype-Tissue Expression (GTEx) project and in hundreds of other primate and mouse samples. We show that editing levels in non-repetitive coding regions vary more between tissues than editing levels in repetitive regions. Globally, ADAR1 is the primary editor of repetitive sites and ADAR2 is the primary editor of non-repetitive coding sites, whereas the catalytically inactive ADAR3 predominantly acts as an inhibitor of editing. Cross-species analysis of RNA editing in several tissues revealed that species, rather than tissue type, is the primary determinant of editing levels, suggesting stronger cis-directed regulation of RNA editing for most sites, although the small set of conserved coding sites is under stronger trans-regulation. In addition, we curated an extensive set of ADAR1 and ADAR2 targets and showed that many editing sites display distinct tissue-specific regulation by the ADAR enzymes in vivo. Further analysis of the GTEx data revealed several potential regulators of editing, such as AIMP2, which reduces editing in muscles by enhancing the degradation of the ADAR proteins. Collectively, our work provides insights into the complex cis- and trans-regulation of A-to-I editing.

Published
2017

25. Landscape of X chromosome inactivation across human tissues

Author

Aguet, François, Ardlie, Kristin G, Cummings, Beryl B, Gelfand, Ellen T, Getz, Gad, Hadley, Kane, Handsaker, Robert E, Huang, Katherine H, Kashin, Seva, Karczewski, Konrad J, Lek, Monkol, Li, Xiao, MacArthur, Daniel G, Nedzel, Jared L, Nguyen, Duyen T, Noble, Michael S, Segrè, Ayellet V, Trowbridge, Casandra A, Tukiainen, Taru, Abell, Nathan S, Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K, Brown, Andrew, Brown, Christopher D, Castel, Stephane E, Chen, Lin S, Chiang, Colby, Conrad, Donald F, Cox, Nancy J, Damani, Farhan N, Davis, Joe R, Delaneau, Olivier, Dermitzakis, Emmanouil T, Engelhardt, Barbara E, Eskin, Eleazar, Ferreira, Pedro G, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gewirtz, Ariel DH, Gliner, Genna, Gloudemans, Michael J, Guigo, Roderic, Hall, Ira M, Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I, McDowell, Ian C, Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B, Muñoz-Aguirre, Manuel, Ndungu, Anne W, Nicolae, Dan L, Nobel, Andrew B, Oliva, Meritxell, Ongen, Halit, Palowitch, John J, Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J, Peterson, Christine B, Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J, Shabalin, Andrey A, Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E, Strober, Benjamin J, Sul, Jae Hoon, Tsang, Emily K, Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A, Xi, Hualin S, Yeger-Lotem, Esti, and Zappala, Zachary

Subjects
Genetics, Clinical Research, Human Genome, Generic health relevance, Good Health and Well Being, Chromosomes, Human, X, Female, Genes, X-Linked, Genome, Human, Genomics, Humans, Male, Organ Specificity, Phenotype, Sequence Analysis, RNA, Single-Cell Analysis, Transcriptome, X Chromosome Inactivation, GTEx Consortium, Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group, Statistical Methods groups—Analysis Working Group, Enhancing GTEx (eGTEx) groups, NIH Common Fund, NIH/NCI, NIH/NHGRI, NIH/NIMH, NIH/NIDA, Biospecimen Collection Source Site—NDRI, Biospecimen Collection Source Site—RPCI, Biospecimen Core Resource—VARI, Brain Bank Repository—University of Miami Brain Endowment Bank, Leidos Biomedical—Project Management, ELSI Study, Genome Browser Data Integration &Visualization—EBI, Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz, General Science & Technology
Abstract

X chromosome inactivation (XCI) silences transcription from one of the two X chromosomes in female mammalian cells to balance expression dosage between XX females and XY males. XCI is, however, incomplete in humans: up to one-third of X-chromosomal genes are expressed from both the active and inactive X chromosomes (Xa and Xi, respectively) in female cells, with the degree of 'escape' from inactivation varying between genes and individuals. The extent to which XCI is shared between cells and tissues remains poorly characterized, as does the degree to which incomplete XCI manifests as detectable sex differences in gene expression and phenotypic traits. Here we describe a systematic survey of XCI, integrating over 5,500 transcriptomes from 449 individuals spanning 29 tissues from GTEx (v6p release) and 940 single-cell transcriptomes, combined with genomic sequence data. We show that XCI at 683 X-chromosomal genes is generally uniform across human tissues, but identify examples of heterogeneity between tissues, individuals and cells. We show that incomplete XCI affects at least 23% of X-chromosomal genes, identify seven genes that escape XCI with support from multiple lines of evidence and demonstrate that escape from XCI results in sex biases in gene expression, establishing incomplete XCI as a mechanism that is likely to introduce phenotypic diversity. Overall, this updated catalogue of XCI across human tissues helps to increase our understanding of the extent and impact of the incompleteness in the maintenance of XCI.

Published
2017

26. The impact of rare variation on gene expression across tissues

Author

Aguet, François, Ardlie, Kristin G, Cummings, Beryl B, Gelfand, Ellen T, Getz, Gad, Hadley, Kane, Handsaker, Robert E, Huang, Katherine H, Kashin, Seva, Karczewski, Konrad J, Lek, Monkol, Li, Xiao, MacArthur, Daniel G, Nedzel, Jared L, Nguyen, Duyen T, Noble, Michael S, Segrè, Ayellet V, Trowbridge, Casandra A, Tukiainen, Taru, Abell, Nathan S, Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K, Brown, Andrew, Brown, Christopher D, Castel, Stephane E, Chen, Lin S, Chiang, Colby, Conrad, Donald F, Cox, Nancy J, Damani, Farhan N, Davis, Joe R, Delaneau, Olivier, Dermitzakis, Emmanouil T, Engelhardt, Barbara E, Eskin, Eleazar, Ferreira, Pedro G, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gewirtz, Ariel DH, Gliner, Genna, Gloudemans, Michael J, Guigo, Roderic, Hall, Ira M, Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I, McDowell, Ian C, Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B, Muñoz-Aguirre, Manuel, Ndungu, Anne W, Nicolae, Dan L, Nobel, Andrew B, Oliva, Meritxell, Ongen, Halit, Palowitch, John J, Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J, Peterson, Christine B, Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J, Shabalin, Andrey A, Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E, Strober, Benjamin J, Sul, Jae Hoon, Tsang, Emily K, Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A, Xi, Hualin S, Yeger-Lotem, Esti, and Zappala, Zachary

Subjects
Bayes Theorem, Female, Gene Expression Profiling, Genetic Variation, Genome, Human, Genomics, Genotype, Humans, Male, Models, Genetic, Organ Specificity, Sequence Analysis, RNA, GTEx Consortium, Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group, Statistical Methods groups—Analysis Working Group, Enhancing GTEx (eGTEx) groups, NIH Common Fund, NIH/NCI, NIH/NHGRI, NIH/NIMH, NIH/NIDA, Biospecimen Collection Source Site—NDRI, Biospecimen Collection Source Site—RPCI, Biospecimen Core Resource—VARI, Brain Bank Repository—University of Miami Brain Endowment Bank, Leidos Biomedical—Project Management, ELSI Study, Genome Browser Data Integration &Visualization—EBI, Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz, General Science & Technology
Abstract

Rare genetic variants are abundant in humans and are expected to contribute to individual disease risk. While genetic association studies have successfully identified common genetic variants associated with susceptibility, these studies are not practical for identifying rare variants. Efforts to distinguish pathogenic variants from benign rare variants have leveraged the genetic code to identify deleterious protein-coding alleles, but no analogous code exists for non-coding variants. Therefore, ascertaining which rare variants have phenotypic effects remains a major challenge. Rare non-coding variants have been associated with extreme gene expression in studies using single tissues, but their effects across tissues are unknown. Here we identify gene expression outliers, or individuals showing extreme expression levels for a particular gene, across 44 human tissues by using combined analyses of whole genomes and multi-tissue RNA-sequencing data from the Genotype-Tissue Expression (GTEx) project v6p release. We find that 58% of underexpression and 28% of overexpression outliers have nearby conserved rare variants compared to 8% of non-outliers. Additionally, we developed RIVER (RNA-informed variant effect on regulation), a Bayesian statistical model that incorporates expression data to predict a regulatory effect for rare variants with higher accuracy than models using genomic annotations alone. Overall, we demonstrate that rare variants contribute to large gene expression changes across tissues and provide an integrative method for interpretation of rare variants in individual genomes.

Published
2017

27. Polygenic burden has broader impact on health, cognition, and socioeconomic outcomes than most rare and high-risk copy number variants

Author

Saarentaus, Elmo Christian, Havulinna, Aki Samuli, Mars, Nina, Ahola-Olli, Ari, Kiiskinen, Tuomo Tapio Johannes, Partanen, Juulia, Ruotsalainen, Sanni, Kurki, Mitja, Urpa, Lea Martta, Chen, Lei, Perola, Markus, Salomaa, Veikko, Veijola, Juha, Männikkö, Minna, Hall, Ira M., Pietiläinen, Olli, Kaprio, Jaakko, Ripatti, Samuli, Daly, Mark, and Palotie, Aarno

Published
2021
Full Text
View/download PDF

28. SAMBLASTER: fast duplicate marking and structural variant read extraction

Author

Faust, Gregory G. and Hall, Ira M.

Subjects
Quantitative Biology - Genomics
Abstract

Motivation: Illumina DNA sequencing is now the predominant source of raw genomic data, and data volumes are growing rapidly. Bioinformatic analysis pipelines are having trouble keeping pace. A common bottleneck in such pipelines is the requirement to read, write, sort and compress large BAM files multiple times. Results: We present SAMBLASTER, a tool that reduces the number of times such costly operations are performed. SAMBLASTER is designed to mark duplicates in read-sorted SAM files as a piped post-pass on DNA aligner output before it is compressed to BAM. In addition, it can simultaneously output into separate files the discordant read-pairs and/or split-read mappings used for structural variant calling. As an alignment post-pass, its own runtime overhead is negligible, while dramatically reducing overall pipeline complexity and runtime. As a stand-alone duplicate marking tool, it performs significantly better than PICARD or SAMBAMBA in terms of both speed and memory usage, while achieving nearly identical results. Availability: SAMBLASTER is open source C++ code and freely available from https://github.com/GregoryFaust/samblaster

Published
2014
Full Text
View/download PDF

30. LUMPY: A probabilistic framework for structural variant discovery

Author

Layer, Ryan M., Hall, Ira M., and Quinlan, Aaron R.

Subjects
Quantitative Biology - Genomics
Abstract

Comprehensive discovery of structural variation (SV) in human genomes from DNA sequencing requires the integration of multiple alignment signals including read-pair, split-read and read-depth. However, owing to inherent technical challenges, most existing SV discovery approaches utilize only one signal and consequently suffer from reduced sensitivity, especially at low sequence coverage and for smaller SVs. We present a novel and extremely flexible probabilistic SV discovery framework that is capable of integrating any number of SV detection signals including those generated from read alignments or prior evidence. We demonstrate improved sensitivity over extant methods by combining paired-end and split-read alignments and emphasize the utility of our framework for comprehensive studies of structural variation in heterogeneous tumor genomes. We further discuss the broader utility of this approach for probabilistic integration of diverse genomic interval datasets., Comment: version 2; updated for journal resubmission; includes comparison to PINDEL and analysis on NA12878 and parents

Published
2012

31. Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Author

Layer, Ryan M., Skadron, Kevin, Robins, Gabriel, Hall, Ira M., and Quinlan, Aaron R.

Subjects
Quantitative Biology - Genomics
Abstract

Motivation: The comparison of diverse genomic datasets is fundamental to understanding genome biology. Researchers must explore many large datasets of genome intervals (e.g., genes, sequence alignments) to place their experimental results in a broader context and to make new discoveries. Relationships between genomic datasets are typically measured by identifying intervals that intersect: that is, they overlap and thus share a common genome interval. Given the continued advances in DNA sequencing technologies, efficient methods for measuring statistically significant relationships between many sets of genomic features is crucial for future discovery. Results: We introduce the Binary Interval Search (BITS) algorithm, a novel and scalable approach to interval set intersection. We demonstrate that BITS outperforms existing methods at counting interval intersections. Moreover, we show that BITS is intrinsically suited to parallel computing architectures such as Graphics Processing Units (GPUs) by illustrating its utility for efficient Monte-Carlo simulations measuring the significance of relationships between sets of genomic intervals.

Published
2012

33. A draft human pangenome reference

Author

Liao, Wen-Wei, primary, Asri, Mobin, additional, Ebler, Jana, additional, Doerr, Daniel, additional, Haukness, Marina, additional, Hickey, Glenn, additional, Lu, Shuangjia, additional, Lucas, Julian K, additional, Monlong, Jean, additional, Abel…., Haley J, additional, Garrison, Erik, additional, Marschall, Tobias, additional, Hall, Ira M, additional, Li, Heng, additional, and Paten, Benedict, additional

Published
2023
Full Text
View/download PDF

34. Pan-conserved segment tags identify ultra-conserved sequences across assemblies in the human pangenome

Author

Lee, HoJoon, primary, Greer, Stephanie U., additional, Pavlichin, Dmitri S., additional, Zhou, Bo, additional, Urban, Alexander E., additional, Weissman, Tsachy, additional, Ji, Hanlee P., additional, Liao, Wen-Wei, additional, Asri, Mobin, additional, Ebler, Jana, additional, Doerr, Daniel, additional, Haukness, Marina, additional, Hickey, Glenn, additional, Lu, Shuangjia, additional, Lucas, Julian K., additional, Monlong, Jean, additional, Abel, Haley J., additional, Buonaiuto, Silvia, additional, Chang, Xian H., additional, Cheng, Haoyu, additional, Chu, Justin, additional, Colonna, Vincenza, additional, Eizenga, Jordan M., additional, Feng, Xiaowen, additional, Fischer, Christian, additional, Fulton, Robert S., additional, Garg, Shilpa, additional, Groza, Cristian, additional, Guarracino, Andrea, additional, Harvey, William T., additional, Heumos, Simon, additional, Howe, Kerstin, additional, Jain, Miten, additional, Lu, Tsung-Yu, additional, Markello, Charles, additional, Martin, Fergal J., additional, Mitchell, Matthew W., additional, Munson, Katherine M., additional, Mwaniki, Moses Njagi, additional, Novak, Adam M., additional, Olsen, Hugh E., additional, Pesout, Trevor, additional, Porubsky, David, additional, Prins, Pjotr, additional, Sibbesen, Jonas A., additional, Tomlinson, Chad, additional, Villani, Flavia, additional, Vollger, Mitchell R., additional, Antonacci-Fulton, Lucinda L., additional, Baid, Gunjan, additional, Baker, Carl A., additional, Belyaeva, Anastasiya, additional, Billis, Konstantinos, additional, Carroll, Andrew, additional, Chang, Pi-Chuan, additional, Cody, Sarah, additional, Cook, Daniel E., additional, Cornejo, Omar E., additional, Diekhans, Mark, additional, Ebert, Peter, additional, Fairley, Susan, additional, Fedrigo, Olivier, additional, Felsenfeld, Adam L., additional, Formenti, Giulio, additional, Frankish, Adam, additional, Gao, Yan, additional, Giron, Carlos Garcia, additional, Green, Richard E., additional, Haggerty, Leanne, additional, Hoekzema, Kendra, additional, Hourlier, Thibaut, additional, Kolesnikov, Alexey, additional, Korbel, Jan O., additional, Kordosky, Jennifer, additional, Lee, HoJoon, additional, Lewis, Alexandra P., additional, Magalhães, Hugo, additional, Marco-Sola, Santiago, additional, Marijon, Pierre, additional, McDaniel, Jennifer, additional, Mountcastle, Jacquelyn, additional, Nattestad, Maria, additional, Olson, Nathan D., additional, Puiu, Daniela, additional, Regier, Allison A., additional, Rhie, Arang, additional, Sacco, Samuel, additional, Sanders, Ashley D., additional, Schneider, Valerie A., additional, Schultz, Baergen I., additional, Shafin, Kishwar, additional, Sirén, Jouni, additional, Smith, Michael W., additional, Sofia, Heidi J., additional, Abou Tayoun, Ahmad N., additional, Thibaud-Nissen, Françoise, additional, Tricomi, Francesca Floriana, additional, Wagner, Justin, additional, Wood, Jonathan M.D., additional, Zimin, Aleksey V., additional, Popejoy, Alice B., additional, Bourque, Guillaume, additional, Chaisson, Mark J.P., additional, Flicek, Paul, additional, Phillippy, Adam M., additional, Zook, Justin M., additional, Eichler, Evan E., additional, Haussler, David, additional, Jarvis, Erich D., additional, Miga, Karen H., additional, Wang, Ting, additional, Garrison, Erik, additional, Marschall, Tobias, additional, Hall, Ira, additional, Li, Heng, additional, and Paten, Benedict, additional

Published
2023
Full Text
View/download PDF

38. A draft human pangenome reference

Author

Liao, Wen Wei, Asri, Mobin, Ebler, Jana, Doerr, Daniel, Haukness, Marina, Hickey, Glenn, Lu, Shuangjia, Lucas, Julian K., Monlong, Jean, Abel, Haley J., Buonaiuto, Silvia, Chang, Xian H., Cheng, Haoyu, Chu, Justin, Colonna, Vincenza, Eizenga, Jordan M., Feng, Xiaowen, Fischer, Christian, Fulton, Robert S., Garg, Shilpa, Groza, Cristian, Guarracino, Andrea, Harvey, William T., Heumos, Simon, Howe, Kerstin, Jain, Miten, Lu, Tsung Yu, Markello, Charles, Martin, Fergal J., Mitchell, Matthew W., Munson, Katherine M., Mwaniki, Moses Njagi, Novak, Adam M., Olsen, Hugh E., Pesout, Trevor, Porubsky, David, Prins, Pjotr, Sibbesen, Jonas A., Sirén, Jouni, Tomlinson, Chad, Villani, Flavia, Vollger, Mitchell R., Antonacci-Fulton, Lucinda L., Baid, Gunjan, Baker, Carl A., Belyaeva, Anastasiya, Billis, Konstantinos, Carroll, Andrew, Chang, Pi Chuan, Cody, Sarah, Cook, Daniel E., Cook-Deegan, Robert M., Cornejo, Omar E., Diekhans, Mark, Ebert, Peter, Fairley, Susan, Fedrigo, Olivier, Felsenfeld, Adam L., Formenti, Giulio, Frankish, Adam, Gao, Yan, Garrison, Nanibaa’ A., Giron, Carlos Garcia, Green, Richard E., Haggerty, Leanne, Hoekzema, Kendra, Hourlier, Thibaut, Ji, Hanlee P., Kenny, Eimear E., Koenig, Barbara A., Kolesnikov, Alexey, Korbel, Jan O., Kordosky, Jennifer, Koren, Sergey, Lee, Ho Joon, Lewis, Alexandra P., Magalhães, Hugo, Marco-Sola, Santiago, Marijon, Pierre, McCartney, Ann, McDaniel, Jennifer, Mountcastle, Jacquelyn, Nattestad, Maria, Nurk, Sergey, Olson, Nathan D., Popejoy, Alice B., Puiu, Daniela, Rautiainen, Mikko, Regier, Allison A., Rhie, Arang, Sacco, Samuel, Sanders, Ashley D., Schneider, Valerie A., Schultz, Baergen I., Shafin, Kishwar, Smith, Michael W., Sofia, Heidi J., Abou Tayoun, Ahmad N., Thibaud-Nissen, Françoise, Tricomi, Francesca Floriana, Wagner, Justin, Walenz, Brian, Wood, Jonathan M.D., Zimin, Aleksey V., Bourque, Guillaume, Chaisson, Mark J.P., Flicek, Paul, Phillippy, Adam M., Zook, Justin M., Eichler, Evan E., Haussler, David, Wang, Ting, Jarvis, Erich D., Miga, Karen H., Garrison, Erik, Marschall, Tobias, Hall, Ira M., Li, Heng, Paten, Benedict, Liao, Wen Wei, Asri, Mobin, Ebler, Jana, Doerr, Daniel, Haukness, Marina, Hickey, Glenn, Lu, Shuangjia, Lucas, Julian K., Monlong, Jean, Abel, Haley J., Buonaiuto, Silvia, Chang, Xian H., Cheng, Haoyu, Chu, Justin, Colonna, Vincenza, Eizenga, Jordan M., Feng, Xiaowen, Fischer, Christian, Fulton, Robert S., Garg, Shilpa, Groza, Cristian, Guarracino, Andrea, Harvey, William T., Heumos, Simon, Howe, Kerstin, Jain, Miten, Lu, Tsung Yu, Markello, Charles, Martin, Fergal J., Mitchell, Matthew W., Munson, Katherine M., Mwaniki, Moses Njagi, Novak, Adam M., Olsen, Hugh E., Pesout, Trevor, Porubsky, David, Prins, Pjotr, Sibbesen, Jonas A., Sirén, Jouni, Tomlinson, Chad, Villani, Flavia, Vollger, Mitchell R., Antonacci-Fulton, Lucinda L., Baid, Gunjan, Baker, Carl A., Belyaeva, Anastasiya, Billis, Konstantinos, Carroll, Andrew, Chang, Pi Chuan, Cody, Sarah, Cook, Daniel E., Cook-Deegan, Robert M., Cornejo, Omar E., Diekhans, Mark, Ebert, Peter, Fairley, Susan, Fedrigo, Olivier, Felsenfeld, Adam L., Formenti, Giulio, Frankish, Adam, Gao, Yan, Garrison, Nanibaa’ A., Giron, Carlos Garcia, Green, Richard E., Haggerty, Leanne, Hoekzema, Kendra, Hourlier, Thibaut, Ji, Hanlee P., Kenny, Eimear E., Koenig, Barbara A., Kolesnikov, Alexey, Korbel, Jan O., Kordosky, Jennifer, Koren, Sergey, Lee, Ho Joon, Lewis, Alexandra P., Magalhães, Hugo, Marco-Sola, Santiago, Marijon, Pierre, McCartney, Ann, McDaniel, Jennifer, Mountcastle, Jacquelyn, Nattestad, Maria, Nurk, Sergey, Olson, Nathan D., Popejoy, Alice B., Puiu, Daniela, Rautiainen, Mikko, Regier, Allison A., Rhie, Arang, Sacco, Samuel, Sanders, Ashley D., Schneider, Valerie A., Schultz, Baergen I., Shafin, Kishwar, Smith, Michael W., Sofia, Heidi J., Abou Tayoun, Ahmad N., Thibaud-Nissen, Françoise, Tricomi, Francesca Floriana, Wagner, Justin, Walenz, Brian, Wood, Jonathan M.D., Zimin, Aleksey V., Bourque, Guillaume, Chaisson, Mark J.P., Flicek, Paul, Phillippy, Adam M., Zook, Justin M., Eichler, Evan E., Haussler, David, Wang, Ting, Jarvis, Erich D., Miga, Karen H., Garrison, Erik, Marschall, Tobias, Hall, Ira M., Li, Heng, and Paten, Benedict

Abstract

Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals 1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample.

Published
2023

40. The impact of rare variation on gene expression across tissues

Author

Li, Xin, Kim, Yungil, Tsang, Emily K., Davis, Joe R., Damani, Farhan N., Chiang, Colby, Hess, Gaelen T., Zappala, Zachary, Strober, Benjamin J., Scott, Alexandra J., Li, Amy, Ganna, Andrea, Bassik, Michael C., Merker, Jason D., Aguet, Franois, Ardlie, Kristin G., Cummings, Beryl B., Gelfand, Ellen T., Getz, Gad, Hadley, Kane, Handsaker, Robert E., Huang, Katherine H., Kashin, Seva, Karczewski, Konrad J., Lek, Monkol, Li, Xiao, MacArthur, Daniel G., Nedzel, Jared L., Nguyen, Duyen T., Noble, Michael S., Segr, Ayellet V., Trowbridge, Casandra A., Tukiainen, Taru, Abell, Nathan S., Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K., Brown, Andrew, Brown, Christopher D., Castel, Stephane E., Chen, Lin S., Conrad, Donald F., Cox, Nancy J., Delaneau, Olivier, Dermitzakis, Emmanouil T., Engelhardt, Barbara E., Eskin, Eleazar, Ferreira, Pedro G., Frsard, Laure, Gamazon, Eric R., Garrido-Martn, Diego, Gewirtz, Ariel D.H., Gliner, Genna, Gloudemans, Michael J., Guigo, Roderic, Hall, Ira M., Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I., McDowell, Ian C., Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B., Muoz-Aguirre, Manuel, Ndungu, Anne W., Nicolae, Dan L., Nobel, Andrew B., Oliva, Meritxell, Ongen, Halit, Palowitch, John J., Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J., Peterson, Christine B., Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Shabalin, Andrey A., Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E., Sul, Jae Hoon, Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A., Xi, Hualin S., Yeger-Lotem, Esti, Zaugg, Judith B., Zhou, Yi-Hui, Akey, Joshua M., Bates, Daniel, Chan, Joanne, Claussnitzer, Melina, Demanelis, Kathryn, Diegel, Morgan, Doherty, Jennifer A., Feinberg, Andrew P., Fernando, Marian S., Halow, Jessica, Hansen, Kasper D., Haugen, Eric, Hickey, Peter F., Hou, Lei, Jasmine, Farzana, Jian, Ruiqi, Jiang, Lihua, Johnson, Audra, Kaul, Rajinder, Kellis, Manolis, Kibriya, Muhammad G., Lee, Kristen, Billy Li, Jin, Li, Qin, Lin, Jessica, Lin, Shin, Linder, Sandra, Linke, Caroline, Liu, Yaping, Maurano, Matthew T., Molinie, Benoit, Nelson, Jemma, Neri, Fidencio J., Park, Yongjin, Pierce, Brandon L., Rinaldi, Nicola J., Rizzardi, Lindsay F., Sandstrom, Richard, Skol, Andrew, Smith, Kevin S., Snyder, Michael P., Stamatoyannopoulos, John, Tang, Hua, Wang, Li, Wang, Meng, Van Wittenberghe, Nicholas, Wu, Fan, Zhang, Rui, Nierras, Concepcion R., Branton, Philip A., Carithers, Latarsha J., Guan, Ping, Moore, Helen M., Rao, Abhi, Vaught, Jimmie B., Gould, Sarah E., Lockart, Nicole C., Martin, Casey, Struewing, Jeffery P., Volpi, Simona, Addington, Anjene M., Koester, Susan E., Little, A. Roger, Brigham, Lori E., Hasz, Richard, Hunter, Marcus, Johns, Christopher, Johnson, Mark, Kopen, Gene, Leinweber, William F., Lonsdale, John T., McDonald, Alisa, Mestichelli, Bernadette, Myer, Kevin, Roe, Brian, Salvatore, Michael, Shad, Saboor, Thomas, Jeffrey A., Walters, Gary, Washington, Michael, Wheeler, Joseph, Bridge, Jason, Foster, Barbara A., Gillard, Bryan M., Karasik, Ellen, Kumar, Rachna, Miklos, Mark, Moser, Michael T., Jewell, Scott D., Montroy, Robert G., Rohrer, Daniel C., Valley, Dana R., Davis, David A., Mash, Deborah C., Undale, Anita H., Smith, Anna M., Tabor, David E., Roche, Nancy V., McLean, Jeffrey A., Vatanian, Negin, Robinson, Karna L., Sobin, Leslie, Barcus, Mary E., Valentino, Kimberly M., Qi, Liqun, Hunter, Steven, Hariharan, Pushpa, Singh, Shilpi, Um, Ki Sung, Matose, Takunda, Tomaszewski, Maria M., Barker, Laura K., Mosavel, Maghboeba, Siminoff, Laura A., Traino, Heather M., Flicek, Paul, Juettemann, Thomas, Ruffier, Magali, Sheppard, Dan, Taylor, Kieron, Trevanion, Stephen J., Zerbino, Daniel R., Craft, Brian, Goldman, Mary, Haeussler, Maximilian, Kent, W. James, Lee, Christopher M., Paten, Benedict, Rosenbloom, Kate R., Vivian, John, and Zhu, Jingchun

Subjects
Disease susceptibility -- Genetic aspects, Genetic variation -- Observations, Gene expression -- Observations, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Xin Li [1]; Yungil Kim [2]; Emily K. Tsang [1, 3]; Joe R. Davis [1, 4]; Farhan N. Damani [2]; Colby Chiang [5]; Gaelen T. Hess [4]; Zachary Zappala [...]

Published
2017
Full Text
View/download PDF

41. Dynamic landscape and regulation of RNA editing in mammals

Author

Tan, Meng How, Li, Qin, Shanmugam, Raghuvaran, Piskol, Robert, Kohler, Jennefer, Young, Amy N., Liu, Kaiwen Ivy, Zhang, Rui, Ramaswami, Gokul, Ariyoshi, Kentaro, Gupte, Ankita, Keegan, Liam P., George, Cyril X., Ramu, Avinash, Huang, Ni, Pollina, Elizabeth A., Leeman, Dena S., Rustighi, Alessandra, Goh, Y. P. Sharon, Aguet, Franois, Ardlie, Kristin G., Cummings, Beryl B., Gelfand, Ellen T., Getz, Gad, Hadley, Kane, Handsaker, Robert E., Huang, Katherine H., Kashin, Seva, Karczewski, Konrad J., Lek, Monkol, Li, Xiao, MacArthur, Daniel G., Nedzel, Jared L., Nguyen, Duyen T., Noble, Michael S., Segr, Ayellet V., Trowbridge, Casandra A., Tukiainen, Taru, Abell, Nathan S., Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K., Brown, Andrew, Brown, Christopher D., Castel, Stephane E., Chen, Lin S., Chiang, Colby, Conrad, Donald F., Cox, Nancy J., Damani, Farhan N., Davis, Joe R., Delaneau, Olivier, Dermitzakis, Emmanouil T., Engelhardt, Barbara E., Eskin, Eleazar, Ferreira, Pedro G., Frsard, Laure, Gamazon, Eric R., Garrido-Martn, Diego, Gewirtz, Ariel D. H., Gliner, Genna, Gloudemans, Michael J., Guigo, Roderic, Hall, Ira M., Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I., McDowell, Ian C., Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B., Muoz-Aguirre, Manuel, Ndungu, Anne W., Nicolae, Dan L., Nobel, Andrew B., Oliva, Meritxell, Ongen, Halit, Palowitch, John J., Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J., Peterson, Christine B., Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J., Shabalin, Andrey A., Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E., Strober, Benjamin J., Sul, Jae Hoon, Tsang, Emily K., Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A., Xi, Hualin S., Yeger-Lotem, Esti, Zappala, Zachary, Zaugg, Judith B., Zhou, Yi-Hui, Akey, Joshua M., Bates, Daniel, Chan, Joanne, Claussnitzer, Melina, Demanelis, Kathryn, Diegel, Morgan, Doherty, Jennifer A., Feinberg, Andrew P., Fernando, Marian S., Halow, Jessica, Hansen, Kasper D., Haugen, Eric, Hickey, Peter F., Hou, Lei, Jasmine, Farzana, Jian, Ruiqi, Jiang, Lihua, Johnson, Audra, Kaul, Rajinder, Kellis, Manolis, Kibriya, Muhammad G., Lee, Kristen, Li, Jin Billy, Lin, Jessica, Lin, Shin, Linder, Sandra, Linke, Caroline, Liu, Yaping, Maurano, Matthew T., Molinie, Benoit, Nelson, Jemma, Neri, Fidencio J., Park, Yongjin, Pierce, Brandon L., Rinaldi, Nicola J., Rizzardi, Lindsay F., Sandstrom, Richard, Skol, Andrew, Smith, Kevin S., Snyder, Michael P., Stamatoyannopoulos, John, Tang, Hua, Wang, Li, Wang, Meng, Van Wittenberghe, Nicholas, Wu, Fan, Nierras, Concepcion R., Branton, Philip A., Carithers, Latarsha J., Guan, Ping, Moore, Helen M., Rao, Abhi, Vaught, Jimmie B., Gould, Sarah E., Lockart, Nicole C., Martin, Casey, Struewing, Jeffery P., Volpi, Simona, Addington, Anjene M., Koester, Susan E., Little, A. Roger, Brigham, Lori E., Hasz, Richard, Hunter, Marcus, Johns, Christopher, Johnson, Mark, Kopen, Gene, Leinweber, William F., Lonsdale, John T., McDonald, Alisa, Mestichelli, Bernadette, Myer, Kevin, Roe, Brian, Salvatore, Michael, Shad, Saboor, Thomas, Jeffrey A., Walters, Gary, Washington, Michael, Wheeler, Joseph, Bridge, Jason, Foster, Barbara A., Gillard, Bryan M., Karasik, Ellen, Kumar, Rachna, Miklos, Mark, Moser, Michael T., Jewell, Scott D., Montroy, Robert G., Rohrer, Daniel C., Valley, Dana R., Davis, David A., Mash, Deborah C., Undale, Anita H., Smith, Anna M., Tabor, David E., Roche, Nancy V., McLean, Jeffrey A., Vatanian, Negin, Robinson, Karna L., Sobin, Leslie, Barcus, Mary E., Valentino, Kimberly M., Qi, Liqun, Hunter, Steven, Hariharan, Pushpa, Singh, Shilpi, Um, Ki Sung, Matose, Takunda, Tomaszewski, Maria M., Barker, Laura K., Mosavel, Maghboeba, Siminoff, Laura A., Traino, Heather M., Flicek, Paul, Juettemann, Thomas, Ruffier, Magali, Sheppard, Dan, Taylor, Kieron, Trevanion, Stephen J., Zerbino, Daniel R., Craft, Brian, Goldman, Mary, Haeussler, Maximilian, Kent, W. James, Lee, Christopher M., Paten, Benedict, Rosenbloom, Kate R., Vivian, John, Zhu, Jingchun, Chawla, Ajay, Del Sal, Giannino, Peltz, Gary, Brunet, Anne, Samuel, Charles E., OConnell, Mary A., Walkley, Carl R., and Nishikura, Kazuko

Subjects
Genetic research, Mammals -- Genetic aspects, RNA processing -- Research, Genetic regulation, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Meng How Tan (corresponding author) [1, 2, 3]; Qin Li [1]; Raghuvaran Shanmugam [2, 3]; Robert Piskol [1]; Jennefer Kohler [1]; Amy N. Young [1]; Kaiwen Ivy Liu [3]; [...]

Published
2017
Full Text
View/download PDF

42. Landscape of X chromosome inactivation across human tissues

Author

Tukiainen, Taru, Villani, Alexandra-Chlo, Yen, Angela, Rivas, Manuel A., Marshall, Jamie L., Satija, Rahul, Aguirre, Matt, Gauthier, Laura, Fleharty, Mark, Kirby, Andrew, Cummings, Beryl B., Castel, Stephane E., Karczewski, Konrad J., Aguet, Franois, Byrnes, Andrea, Ardlie, Kristin G., Gelfand, Ellen T., Getz, Gad, Hadley, Kane, Handsaker, Robert E., Huang, Katherine H., Kashin, Seva, Lek, Monkol, Li, Xiao, MacArthur, Daniel G., Nedzel, Jared L., Nguyen, Duyen T., Noble, Michael S., Segr, Ayellet V., Trowbridge, Casandra A., Abell, Nathan S., Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K., Brown, Andrew, Brown, Christopher D., Chen, Lin S., Chiang, Colby, Conrad, Donald F., Cox, Nancy J., Damani, Farhan N., Davis, Joe R., Delaneau, Olivier, Dermitzakis, Emmanouil T., Engelhardt, Barbara E., Eskin, Eleazar, Ferreira, Pedro G., Frsard, Laure, Gamazon, Eric R., Garrido-Martn, Diego, Gewirtz, Ariel D. H., Gliner, Genna, Gloudemans, Michael J., Guigo, Roderic, Hall, Ira M., Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Kyung Im, Hae, Jo, Brian, Yong Kang, Eun, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I., McDowell, Ian C., Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B., Muoz-Aguirre, Manuel, Ndungu, Anne W., Nicolae, Dan L., Nobel, Andrew B., Oliva, Meritxell, Ongen, Halit, Palowitch, John J., Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J., Peterson, Christine B., Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J., Shabalin, Andrey A., Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E., Strober, Benjamin J., Sul, Jae Hoon, Tsang, Emily K., Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A., Xi, Hualin S., Yeger-Lotem, Esti, Zappala, Zachary, Zaugg, Judith B., Zhou, Yi-Hui, Akey, Joshua M., Bates, Daniel, Chan, Joanne, Claussnitzer, Melina, Demanelis, Kathryn, Diegel, Morgan, Doherty, Jennifer A., Feinberg, Andrew P., Fernando, Marian S., Halow, Jessica, Hansen, Kasper D., Haugen, Eric, Hickey, Peter F., Hou, Lei, Jasmine, Farzana, Jian, Ruiqi, Jiang, Lihua, Johnson, Audra, Kaul, Rajinder, Kellis, Manolis, Kibriya, Muhammad G., Lee, Kristen, Li, Jin Billy, Li, Qin, Lin, Jessica, Lin, Shin, Linder, Sandra, Linke, Caroline, Liu, Yaping, Maurano, Matthew T., Molinie, Benoit, Nelson, Jemma, Neri, Fidencio J., Park, Yongjin, Pierce, Brandon L., Rinaldi, Nicola J., Rizzardi, Lindsay F., Sandstrom, Richard, Skol, Andrew, Smith, Kevin S., Snyder, Michael P., Stamatoyannopoulos, John, Tang, Hua, Wang, Li, Wang, Meng, Van Wittenberghe, Nicholas, Wu, Fan, Zhang, Rui, Nierras, Concepcion R., Branton, Philip A., Carithers, Latarsha J., Guan, Ping, Moore, Helen M., Rao, Abhi, Vaught, Jimmie B., Gould, Sarah E., Lockart, Nicole C., Martin, Casey, Struewing, Jeffery P., Volpi, Simona, Addington, Anjene M., Koester, Susan E., Little, A. Roger, Brigham, Lori E., Hasz, Richard, Hunter, Marcus, Johns, Christopher, Johnson, Mark, Kopen, Gene, Leinweber, William F., Lonsdale, John T., McDonald, Alisa, Mestichelli, Bernadette, Myer, Kevin, Roe, Brian, Salvatore, Michael, Shad, Saboor, Thomas, Jeffrey A., Walters, Gary, Washington, Michael, Wheeler, Joseph, Bridge, Jason, Foster, Barbara A., Gillard, Bryan M., Karasik, Ellen, Kumar, Rachna, Miklos, Mark, Moser, Michael T., Jewell, Scott D., Montroy, Robert G., Rohrer, Daniel C., Valley, Dana R., Davis, David A., Mash, Deborah C., Undale, Anita H., Smith, Anna M., Tabor, David E., Roche, Nancy V., McLean, Jeffrey A., Vatanian, Negin, Robinson, Karna L., Sobin, Leslie, Barcus, Mary E., Valentino, Kimberly M., Qi, Liqun, Hunter, Steven, Hariharan, Pushpa, Singh, Shilpi, Um, Ki Sung, Matose, Takunda, Tomaszewski, Maria M., Barker, Laura K., Mosavel, Maghboeba, Siminoff, Laura A., Traino, Heather M., Flicek, Paul, Juettemann, Thomas, Ruffier, Magali, Sheppard, Dan, Taylor, Kieron, Trevanion, Stephen J., Zerbino, Daniel R., Craft, Brian, Goldman, Mary, Haeussler, Maximilian, Kent, W. James, Lee, Christopher M., Paten, Benedict, Rosenbloom, Kate R., Vivian, John, Zhu, Jingchun, Regev, Aviv, and Hacohen, Nir

Subjects
Chromosomes -- Physiological aspects, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Taru Tukiainen (corresponding author) [1, 2]; Alexandra-Chlo Villani [2, 3]; Angela Yen [2, 4]; Manuel A. Rivas [1, 2, 5]; Jamie L. Marshall [1, 2]; Rahul Satija [2, 6, [...]

Published
2017
Full Text
View/download PDF

43. R\'enyi Distillation for Global Testing in Sparse Regression Problems

Author

Christ, Ryan, Hall, Ira, and Steinsaltz, David

Subjects
Statistics - Methodology
Abstract

Many modern high-dimensional regression applications involve testing whether a large set of predictors jointly affect an outcome of interest. Methods that target sparse alternatives, such as Tukey's Higher Criticism, require that predictors follow an orthogonal design, and attempts to generalise these approaches to non-orthogonal designs have yet to yield powerful tests. We propose two new procedures. The first, \emph{R\'enyi Distillation} (RD), judiciously introduces noise into the observed outcomes vector assuming a sparse alternative to obtain mutually independent p-values, each measuring the significance of a given predictor. The second, the \emph{R\'enyi outlier test}, is a global test that achieves similar power to Higher Criticism but which can be calculated cheaply and exactly deep into the tail even when the number of hypotheses is very large. In simulation, we demonstrate how the combination of these two procedures yields a scalable approah for non-orthogonal designs that maintains power under sparse alternatives. We also briefly discuss the potential of RD for tackling sparse variable selection and prediction problems., Comment: 24 pages, 4 figures

Published
2022

44. Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol

Author

Gabriel, Stacey B., Altshuler, David M., Abecasis, Gonçalo R., Allayee, Hooman, Cresci, Sharon, Daly, Mark J., de Bakker, Paul I.W., DePristo, Mark A., Do, Ron, Donnelly, Peter, Farlow, Deborah N., Fennell, Tim, Garimella, Kiran, Hazen, Stanley L., Hu, Youna, Jordan, Daniel M., Jun, Goo, Kathiresan, Sekar, Kang, Hyun Min, Kiezun, Adam, Lettre, Guillaume, Li, Bingshan, Li, Mingyao, Newton-Cheh, Christopher H., Padmanabhan, Sandosh, Peloso, Gina, Pulit, Sara, Rader, Daniel J., Reich, David, Reilly, Muredach P., Rivas, Manuel A., Schwartz, Steve, Scott, Laura, Siscovick, David S., Spertus, John A., Stitziel, Nathaniel O., Stoletzki, Nina, Sunyaev, Shamil R., Voight, Benjamin F., Willer, Cristen J., Rich, Stephen S., Akylbekova, Ermeg, Atwood, Larry D., Ballantyne, Christie M., Barbalic, Maja, Barr, R. Graham, Benjamin, Emelia J., Bis, Joshua, Boerwinkle, Eric, Bowden, Donald W., Brody, Jennifer, Budoff, Matthew, Burke, Greg, Buxbaum, Sarah, Carr, Jeff, Chen, Donna T., Chen, Ida Y., Chen, Wei-Min, Concannon, Pat, Crosby, Jacy, Cupples, L. Adrienne, D’Agostino, Ralph, DeStefano, Anita L., Dreisbach, Albert, Dupuis, Josée, Durda, J. Peter, Ellis, Jaclyn, Folsom, Aaron R., Fornage, Myriam, Fox, Caroline S., Fox, Ervin, Funari, Vincent, Ganesh, Santhi K., Gardin, Julius, Goff, David, Gordon, Ora, Grody, Wayne, Gross, Myron, Guo, Xiuqing, Hall, Ira M., Heard-Costa, Nancy L., Heckbert, Susan R., Heintz, Nicholas, Herrington, David M., Hickson, DeMarc, Huang, Jie, Hwang, Shih-Jen, Jacobs, David R., Jenny, Nancy S., Johnson, Andrew D., Johnson, Craig W., Kawut, Steven, Kronmal, Richard, Kurz, Raluca, Lange, Ethan M., Lange, Leslie A., Larson, Martin G., Lawson, Mark, Lewis, Cora E., Levy, Daniel, Li, Dalin, Lin, Honghuang, Liu, Chunyu, Liu, Jiankang, Liu, Kiang, Liu, Xiaoming, Liu, Yongmei, Longstreth, William T., Loria, Cay, Lumley, Thomas, Lunetta, Kathryn, Mackey, Aaron J., Mackey, Rachel, Manichaikul, Ani, Maxwell, Taylor, McKnight, Barbara, Meigs, James B., Morrison, Alanna C., Musani, Solomon K., Mychaleckyj, Josyf C., Nettleton, Jennifer A., North, Kari, O’Donnell, Christopher J., O’Leary, Daniel, Ong, Frank, Palmas, Walter, Pankow, James S., Pankratz, Nathan D., Paul, Shom, Perez, Marco, Person, Sharina D., Polak, Joseph, Post, Wendy S., Psaty, Bruce M., Quinlan, Aaron R., Raffel, Leslie J., Ramachandran, Vasan S., Reiner, Alexander P., Rice, Kenneth, Rotter, Jerome I., Sanders, Jill P., Schreiner, Pamela, Seshadri, Sudha, Shea, Steve, Sidney, Stephen, Silverstein, Kevin, Smith, Nicholas L., Sotoodehnia, Nona, Srinivasan, Asoke, Taylor, Herman A., Taylor, Kent, Thomas, Fridtjof, Tracy, Russell P., Tsai, Michael Y., Volcik, Kelly A., Wassel, Chrstina L., Watson, Karol, Wei, Gina, White, Wendy, Wiggins, Kerri L., Wilk, Jemma B., Williams, O. Dale, Wilson, Gregory, Wilson, James G., Wolf, Phillip, Zakai, Neil A., Hardy, John, Meschia, James F., Nalls, Michael, Singleton, Andrew, Worrall, Brad, Bamshad, Michael J., Barnes, Kathleen C., Abdulhamid, Ibrahim, Accurso, Frank, Anbar, Ran, Beaty, Terri, Bigham, Abigail, Black, Phillip, Bleecker, Eugene, Buckingham, Kati, Cairns, Anne Marie, Caplan, Daniel, Chatfield, Barbara, Chidekel, Aaron, Cho, Michael, Christiani, David C., Crapo, James D., Crouch, Julia, Daley, Denise, Dang, Anthony, Dang, Hong, De Paula, Alicia, DeCelie-Germana, Joan, Drumm, Allen DozorMitch, Dyson, Maynard, Emerson, Julia, Emond, Mary J., Ferkol, Thomas, Fink, Robert, Foster, Cassandra, Froh, Deborah, Gao, Li, Gershan, William, Gibson, Ronald L., Godwin, Elizabeth, Gondor, Magdalen, Gutierrez, Hector, Hansel, Nadia N., Hassoun, Paul M., Hiatt, Peter, Hokanson, John E., Howenstine, Michelle, Hummer, Laura K., Kanga, Jamshed, Kim, Yoonhee, Knowles, Michael R., Konstan, Michael, Lahiri, Thomas, Laird, Nan, Lange, Christoph, Lin, Lin, Lin, Xihong, Louie, Tin L., Lynch, David, Make, Barry, Martin, Thomas R., Mathai, Steve C., Mathias, Rasika A., McNamara, John, McNamara, Sharon, Meyers, Deborah, Millard, Susan, Mogayzel, Peter, Moss, Richard, Murray, Tanda, Nielson, Dennis, Noyes, Blakeslee, O’Neal, Wanda, Orenstein, David, O’Sullivan, Brian, Pace, Rhonda, Pare, Peter, Parker, H. Worth, Passero, Mary Ann, Perkett, Elizabeth, Prestridge, Adrienne, Rafaels, Nicholas M., Ramsey, Bonnie, Regan, Elizabeth, Ren, Clement, Retsch-Bogart, George, Rock, Michael, Rosen, Antony, Rosenfeld, Margaret, Ruczinski, Ingo, Sanford, Andrew, Schaeffer, David, Sell, Cindy, Sheehan, Daniel, Silverman, Edwin K., Sin, Don, Spencer, Terry, Stonebraker, Jackie, Tabor, Holly K., Varlotta, Laurie, Vergara, Candelaria I., Weiss, Robert, Wigley, Fred, Wise, Robert A., Wright, Fred A., Wurfel, Mark M., Zanni, Robert, Zou, Fei, Nickerson, Deborah A., Rieder, Mark J., Green, Phil, Shendure, Jay, Akey, Joshua M., Bustamante, Carlos D., Crosslin, David R., Eichler, Evan E., Fox, P. Keolu, Fu, Wenqing, Gordon, Adam, Gravel, Simon, Jarvik, Gail P., Johnsen, Jill M., Kan, Mengyuan, Kenny, Eimear E., Kidd, Jeffrey M., Lara-Garduno, Fremiet, Leal, Suzanne M., Liu, Dajiang J., McGee, Sean, O’Connor, Timothy D., Paeper, Bryan, Robertson, Peggy D., Smith, Joshua D., Staples, Jeffrey C., Tennessen, Jacob A., Turner, Emily H., Wang, Gao, Yi, Qian, Jackson, Rebecca, Peters, Ulrike, Carlson, Christopher S., Anderson, Garnet, Anton-Culver, Hoda, Assimes, Themistocles L., Auer, Paul L., Beresford, Shirley, Bizon, Chris, Black, Henry, Brunner, Robert, Brzyski, Robert, Burwen, Dale, Caan, Bette, Carty, Cara L., Chlebowski, Rowan, Cummings, Steven, Curb, J. David, Eaton, Charles B., Ford, Leslie, Franceschini, Nora, Fullerton, Stephanie M., Gass, Margery, Geller, Nancy, Heiss, Gerardo, Howard, Barbara V., Hsu, Li, Hutter, Carolyn M., Ioannidis, John, Jiao, Shuo, Johnson, Karen C., Kooperberg, Charles, Kuller, Lewis, LaCroix, Andrea, Lakshminarayan, Kamakshi, Lane, Dorothy, Lasser, Norman, LeBlanc, Erin, Li, Kuo-Ping, Limacher, Marian, Lin, Dan-Yu, Logsdon, Benjamin A., Ludlam, Shari, Manson, JoAnn E., Margolis, Karen, Martin, Lisa, McGowan, Joan, Monda, Keri L., Kotchen, Jane Morley, Nathan, Lauren, Ockene, Judith, O’Sullivan, Mary Jo, Phillips, Lawrence S., Prentice, Ross L., Robbins, John, Robinson, Jennifer G., Rossouw, Jacques E., Sangi-Haghpeykar, Haleh, Sarto, Gloria E., Shumaker, Sally, Simon, Michael S., Stefanick, Marcia L., Stein, Evan, Tang, Hua, Taylor, Kira C., Thomson, Cynthia A., Thornton, Timothy A., Van Horn, Linda, Vitolins, Mara, Wactawski-Wende, Jean, Wallace, Robert, Wassertheil-Smoller, Sylvia, Zeng, Donglin, Applebaum-Bowden, Deborah, Feolo, Michael, Gan, Weiniu, Paltoo, Dina N., Sholinsky, Phyliss, Sturcke, Anne, Zhang, He, Xue, Chenyi, Schmidt, Ellen M., Tang, Zheng-Zheng, Auer, Paul, Li, Kuo-ping, Flannick, Jason, Zhang, Ji, Fuchsberger, Christian, Gaulton, Kyle, Lindgren, Cecilia, Locke, Adam, Manning, Alisa, Sim, Xueling, Holmen, Oddgeir L., Gottesman, Omri, Lu, Yingchang, Ruderfer, Douglas, Stahl, Eli A., Duan, Qing, Li, Yun, Durda, Peter, Isaacs, Aaron, Hofman, Albert, Bis, Joshua C., Correa, Adolfo, Griswold, Michael E., Jakobsdottir, Johanna, Smith, Albert V., Schreiner, Pamela J., Feitosa, Mary F., Zhang, Qunyuan, Huffman, Jennifer E., Wassel, Christina L., Martin, Lisa W., Rosenthal, Elisabeth A., Tsai, Michael, Fox, Ervin R., Jackson, Rebecca D., van Duijn, Cornelia M., Uitterlinden, André G., Gudnason, Vilmundur, Jr., Borecki, Ingrid B., Hayward, Caroline, Rudan, Igor, Chen, Y. Eugene, Bottinger, Erwin P., Loos, Ruth J.F., Sætrom, Pål, Hveem, Kristian, Boehnke, Michael, Groop, Leif, McCarthy, Mark, Meitinger, Thomas, North, Kari E., Altshuler, David, and Abecasis, Goncalo R.

Published
2014
Full Text
View/download PDF

46. Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

Author

Regier, Allison A., Farjoun, Yossi, Larson, David E., Krasheninina, Olga, Kang, Hyun Min, Howrigan, Daniel P., Chen, Bo-Juen, Kher, Manisha, Banks, Eric, Ames, Darren C., English, Adam C., Li, Heng, Xing, Jinchuan, Zhang, Yeting, Matise, Tara, Abecasis, Goncalo R., Salerno, Will, Zody, Michael C., Neale, Benjamin M., and Hall, Ira M.

Published
2018
Full Text
View/download PDF

47. Mosaic Copy Number Variation in Human Neurons

Author

McConnell, Michael J., Lindberg, Michael R., Brennend, Kristen J., Piper, Julia C., Voet, Thierry, Cowing-Zitron, Chris, Shumilina, Svetlana, Lasken, Roger S., Vermeesch, Joris R., Hall, Ira M., and Gage, Fred H.

Published
2013
Full Text
View/download PDF

48. Genetic effects on gene expression across human tissues

Author

Aguet, François, Ardlie, Kristin G., Cummings, Beryl B., Gelfand, Ellen T., Getz, Gad, Hadley, Kane, Handsaker, Robert E., Huang, Katherine H., Kashin, Seva, Karczewski, Konrad J., Lek, Monkol, Li, Xiao, MacArthur, Daniel G., Nedzel, Jared L., Nguyen, Duyen T., Noble, Michael S., Segrè, Ayellet V., Trowbridge, Casandra A., Tukiainen, Taru, Abell, Nathan S., Balliu, Brunilda, Barshir, Ruth, Basha, Omer, Battle, Alexis, Bogu, Gireesh K., Brown, Andrew, Brown, Christopher D., Castel, Stephane E., Chen, Lin S., Chiang, Colby, Conrad, Donald F., Cox, Nancy J., Damani, Farhan N., Davis, Joe R., Delaneau, Olivier, Dermitzakis, Emmanouil T., Engelhardt, Barbara E., Eskin, Eleazar, Ferreira, Pedro G., Frésard, Laure, Gamazon, Eric R., Garrido-Martín, Diego, Gewirtz, Ariel D.H., Gliner, Genna, Gloudemans, Michael J., Guigo, Roderic, Hall, Ira M., Han, Buhm, He, Yuan, Hormozdiari, Farhad, Howald, Cedric, Im, Hae Kyung, Jo, Brian, Kang, Eun Yong, Kim, Yungil, Kim-Hellmuth, Sarah, Lappalainen, Tuuli, Li, Gen, Li, Xin, Liu, Boxiang, Mangul, Serghei, McCarthy, Mark I., McDowell, Ian C., Mohammadi, Pejman, Monlong, Jean, Montgomery, Stephen B., Muñoz-Aguirre, Manuel, Ndungu, Anne W., Nicolae, Dan L., Nobel, Andrew B., Oliva, Meritxell, Ongen, Halit, Palowitch, John J., Panousis, Nikolaos, Papasaikas, Panagiotis, Park, YoSon, Parsana, Princy, Payne, Anthony J., Peterson, Christine B., Quan, Jie, Reverter, Ferran, Sabatti, Chiara, Saha, Ashis, Sammeth, Michael, Scott, Alexandra J., Shabalin, Andrey A., Sodaei, Reza, Stephens, Matthew, Stranger, Barbara E., Strober, Benjamin J., Sul, Jae Hoon, Tsang, Emily K., Urbut, Sarah, van de Bunt, Martijn, Wang, Gao, Wen, Xiaoquan, Wright, Fred A., Xi, Hualin S., Yeger-Lotem, Esti, Zappala, Zachary, Zaugg, Judith B., Zhou, Yi-Hui, Akey, Joshua M., Bates, Daniel, Chan, Joanne, Claussnitzer, Melina, Demanelis, Kathryn, Diegel, Morgan, Doherty, Jennifer A., Feinberg, Andrew P., Fernando, Marian S., Halow, Jessica, Hansen, Kasper D., Haugen, Eric, Hickey, Peter F., Hou, Lei, Jasmine, Farzana, Jian, Ruiqi, Jiang, Lihua, Johnson, Audra, Kaul, Rajinder, Kellis, Manolis, Kibriya, Muhammad G., Lee, Kristen, Li, Jin Billy, Li, Qin, Lin, Jessica, Lin, Shin, Linder, Sandra, Linke, Caroline, Liu, Yaping, Maurano, Matthew T., Molinie, Benoit, Nelson, Jemma, Neri, Fidencio J., Park, Yongjin, Pierce, Brandon L., Rinaldi, Nicola J., Rizzardi, Lindsay F., Sandstrom, Richard, Skol, Andrew, Smith, Kevin S., Snyder, Michael P., Stamatoyannopoulos, John, Tang, Hua, Wang, Li, Wang, Meng, Van Wittenberghe, Nicholas, Wu, Fan, Zhang, Rui, Nierras, Concepcion R., Branton, Philip A., Carithers, Latarsha J., Guan, Ping, Moore, Helen M., Rao, Abhi, Vaught, Jimmie B., Gould, Sarah E., Lockart, Nicole C., Martin, Casey, Struewing, Jeffery P., Volpi, Simona, Addington, Anjene M., Koester, Susan E., Little, Roger A., Brigham, Lori E., Hasz, Richard, Hunter, Marcus, Johns, Christopher, Johnson, Mark, Kopen, Gene, Leinweber, William F., Lonsdale, John T., McDonald, Alisa, Mestichelli, Bernadette, Myer, Kevin, Roe, Brian, Salvatore, Michael, Shad, Saboor, Thomas, Jeffrey A., Walters, Gary, Washington, Michael, Wheeler, Joseph, Bridge, Jason, Foster, Barbara A., Gillard, Bryan M., Karasik, Ellen, Kumar, Rachna, Miklos, Mark, Moser, Michael T., Jewell, Scott D., Montroy, Robert G., Rohrer, Daniel C., Valley, Dana R., Davis, David A., Mash, Deborah C., Undale, Anita H., Smith, Anna M., Tabor, David E., Roche, Nancy V., McLean, Jeffrey A., Vatanian, Negin, Robinson, Karna L., Sobin, Leslie, Barcus, Mary E., Valentino, Kimberly M., Qi, Liqun, Hunter, Steven, Hariharan, Pushpa, Singh, Shilpi, Um, Ki Sung, Matose, Takunda, Tomaszewski, Maria M., Barker, Laura K., Mosavel, Maghboeba, Siminoff, Laura A., Traino, Heather M., Flicek, Paul, Juettemann, Thomas, Ruffier, Magali, Sheppard, Dan, Taylor, Kieron, Trevanion, Stephen J., Zerbino, Daniel R., Craft, Brian, Goldman, Mary, Haeussler, Maximilian, Kent, James W., Lee, Christopher M., Paten, Benedict, Rosenbloom, Kate R., Vivian, John, Zhu, Jingchun, Brown, Andrew A., Nguyen, Duyen Y., Sullivan, Timothy J., Addington, Anjene, Koester, Susan, Lockhart, Nicole C., Roe, Bryan, Valley, Dana, Gewirtz, Ariel D. H., He, Amy Z., Quon, Gerald, Ripke, Stephan, Shimko, Tyler C., Teran, Nicole A., Zhang, Hailei, Bustamante, Carlos D., and Guigó, Roderic

Published
2017
Full Text
View/download PDF

50. Mako: A Graph-based Pattern Growth Approach to Detect Complex Structural Variants

Author

Lin, Jiadong, primary, Yang, Xiaofei, additional, Kosters, Walter, additional, Xu, Tun, additional, Jia, Yanyan, additional, Wang, Songbo, additional, Zhu, Qihui, additional, Ryan, Mallory, additional, Guo, Li, additional, Zhang, Chengsheng, additional, Lee, Charles, additional, Devine, Scott E., additional, Eichler, Evan E., additional, Ye, Kai, additional, Gerstein, Mark B., additional, Sanders, Ashley D., additional, Zody, Micheal C., additional, Talkowski, Michael E., additional, Mills, Ryan E., additional, Korbel, Jan O., additional, Marschall, Tobias, additional, Ebert, Peter, additional, Audano, Peter A., additional, Rodriguez-Martin, Bernardo, additional, Porubsky, David, additional, Jan Bonder, Marc, additional, Sulovari, Arvis, additional, Ebler, Jana, additional, Zhou, Weichen, additional, Serra Mari, Rebecca, additional, Yilmaz, Feyza, additional, Zhao, Xuefang, additional, Hsieh, PingHsun, additional, Lee, Joyce, additional, Kumar, Sushant, additional, Rausch, Tobias, additional, Chen, Yu, additional, Chong, Zechen, additional, Munson, Katherine M., additional, Chaisson, Mark J.P., additional, Chen, Junjie, additional, Shi, Xinghua, additional, Wenger, Aaron M., additional, Harvey, William T., additional, Hansenfeld, Patrick, additional, Regier, Allison, additional, Hall, Ira M., additional, Flicek, Paul, additional, Hastie, Alex R., additional, and Fairely, Susan, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results