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38 results on '"Gloudemans, Michael J."'

1. Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics.

Author

Bonder, Marc Jan, Smail, Craig, Gloudemans, Michael J, Frésard, Laure, Jakubosky, David, D'Antonio, Matteo, Li, Xin, Ferraro, Nicole M, Carcamo-Orive, Ivan, Mirauta, Bogdan, Seaton, Daniel D, Cai, Na, Vakili, Dara, Horta, Danilo, Zhao, Chunli, Zastrow, Diane B, Bonner, Devon E, HipSci Consortium, iPSCORE consortium, Undiagnosed Diseases Network, PhLiPS consortium, Wheeler, Matthew T, Kilpinen, Helena, Knowles, Joshua W, Smith, Erin N, Frazer, Kelly A, Montgomery, Stephen B, and Stegle, Oliver

Subjects
HipSci Consortium, iPSCORE consortium, Undiagnosed Diseases Network, PhLiPS consortium, Cell Line, Humans, Bardet-Biedl Syndrome, Cerebellar Ataxia, Rare Diseases, Proteins, Calcium Channels, Sequence Analysis, RNA, DNA Methylation, Gene Expression, Regulatory Sequences, Nucleic Acid, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genetic Variation, Induced Pluripotent Stem Cells, Whole Genome Sequencing, Stem Cell Research - Induced Pluripotent Stem Cell, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Human Genome, Stem Cell Research - Embryonic - Human, Regenerative Medicine, Genetics, Stem Cell Research - Induced Pluripotent Stem Cell - Non-Human, Stem Cell Research, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Generic health relevance, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Induced pluripotent stem cells (iPSCs) are an established cellular system to study the impact of genetic variants in derived cell types and developmental contexts. However, in their pluripotent state, the disease impact of genetic variants is less well known. Here, we integrate data from 1,367 human iPSC lines to comprehensively map common and rare regulatory variants in human pluripotent cells. Using this population-scale resource, we report hundreds of new colocalization events for human traits specific to iPSCs, and find increased power to identify rare regulatory variants compared with somatic tissues. Finally, we demonstrate how iPSCs enable the identification of causal genes for rare diseases.

Published
2021

2. Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer’s and Parkinson’s diseases

Author

Corces, M Ryan, Shcherbina, Anna, Kundu, Soumya, Gloudemans, Michael J, Frésard, Laure, Granja, Jeffrey M, Louie, Bryan H, Eulalio, Tiffany, Shams, Shadi, Bagdatli, S Tansu, Mumbach, Maxwell R, Liu, Boxiang, Montine, Kathleen S, Greenleaf, William J, Kundaje, Anshul, Montgomery, Stephen B, Chang, Howard Y, and Montine, Thomas J

Subjects
Human Genome, Prevention, Dementia, Aging, Brain Disorders, Alzheimer's Disease, Clinical Research, Genetics, Neurodegenerative, Neurosciences, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Alzheimer Disease, Atlases as Topic, Biological Variation, Population, Brain, Chromatin Assembly and Disassembly, Cohort Studies, Enhancer Elements, Genetic, Epigenomics, Genetic Heterogeneity, Genetic Predisposition to Disease, Genome-Wide Association Study, Haplotypes, Humans, Machine Learning, Neurons, Parkinson Disease, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, tau Proteins, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies of neurological diseases have identified thousands of variants associated with disease phenotypes. However, most of these variants do not alter coding sequences, making it difficult to assign their function. Here, we present a multi-omic epigenetic atlas of the adult human brain through profiling of single-cell chromatin accessibility landscapes and three-dimensional chromatin interactions of diverse adult brain regions across a cohort of cognitively healthy individuals. We developed a machine-learning classifier to integrate this multi-omic framework and predict dozens of functional SNPs for Alzheimer's and Parkinson's diseases, nominating target genes and cell types for previously orphaned loci from genome-wide association studies. Moreover, we dissected the complex inverted haplotype of the MAPT (encoding tau) Parkinson's disease risk locus, identifying putative ectopic regulatory interactions in neurons that may mediate this disease association. This work expands understanding of inherited variation and provides a roadmap for the epigenomic dissection of causal regulatory variation in disease.

Published
2020

3. FAM13A affects body fat distribution and adipocyte function.

Author

Fathzadeh, Mohsen, Li, Jiehan, Rao, Abhiram, Cook, Naomi, Chennamsetty, Indumathi, Seldin, Marcus, Zhou, Xiang, Sangwung, Panjamaporn, Gloudemans, Michael J, Keller, Mark, Attie, Allan, Yang, Jing, Wabitsch, Martin, Carcamo-Orive, Ivan, Tada, Yuko, Lusis, Aldons J, Shin, Myung Kyun, Molony, Cliona M, McLaughlin, Tracey, Reaven, Gerald, Montgomery, Stephen B, Reilly, Dermot, Quertermous, Thomas, Ingelsson, Erik, and Knowles, Joshua W

Abstract

Genetic variation in the FAM13A (Family with Sequence Similarity 13 Member A) locus has been associated with several glycemic and metabolic traits in genome-wide association studies (GWAS). Here, we demonstrate that in humans, FAM13A alleles are associated with increased FAM13A expression in subcutaneous adipose tissue (SAT) and an insulin resistance-related phenotype (e.g. higher waist-to-hip ratio and fasting insulin levels, but lower body fat). In human adipocyte models, knockdown of FAM13A in preadipocytes accelerates adipocyte differentiation. In mice, Fam13a knockout (KO) have a lower visceral to subcutaneous fat (VAT/SAT) ratio after high-fat diet challenge, in comparison to their wild-type counterparts. Subcutaneous adipocytes in KO mice show a size distribution shift toward an increased number of smaller adipocytes, along with an improved adipogenic potential. Our results indicate that GWAS-associated variants within the FAM13A locus alter adipose FAM13A expression, which in turn, regulates adipocyte differentiation and contribute to changes in body fat distribution.

Published
2020

5. Integration of rare expression outlier-associated variants improves polygenic risk prediction

Author

Smail, Craig, Ferraro, Nicole M., Hui, Qin, Durrant, Matthew G., Aguirre, Matthew, Tanigawa, Yosuke, Keever-Keigher, Marissa R., Rao, Abhiram S., Justesen, Johanne M., Li, Xin, Gloudemans, Michael J., Assimes, Themistocles L., Kooperberg, Charles, Reiner, Alexander P., Huang, Jie, O'Donnell, Christopher J., Sun, Yan V., Rivas, Manuel A., and Montgomery, Stephen B.

Published
2022
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6. Pathologic gene network rewiring implicates PPP1R3A as a central regulator in pressure overload heart failure

Author

Cordero, Pablo, Parikh, Victoria N, Chin, Elizabeth T, Erbilgin, Ayca, Gloudemans, Michael J, Shang, Ching, Huang, Yong, Chang, Alex C, Smith, Kevin S, Dewey, Frederick, Zaleta, Kathia, Morley, Michael, Brandimarto, Jeff, Glazer, Nicole, Waggott, Daryl, Pavlovic, Aleksandra, Zhao, Mingming, Moravec, Christine S, Tang, WH Wilson, Skreen, Jamie, Malloy, Christine, Hannenhalli, Sridhar, Li, Hongzhe, Ritter, Scott, Li, Mingyao, Bernstein, Daniel, Connolly, Andrew, Hakonarson, Hakon, Lusis, Aldons J, Margulies, Kenneth B, Depaoli-Roach, Anna A, Montgomery, Stephen B, Wheeler, Matthew T, Cappola, Thomas, and Ashley, Euan A

Subjects
Biological Sciences, Genetics, Human Genome, Biotechnology, Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Animals, Benzeneacetamides, Cells, Cultured, Datasets as Topic, Disease Models, Animal, Female, Gene Expression Profiling, Gene Expression Regulation, Gene Knockdown Techniques, Gene Regulatory Networks, Genome-Wide Association Study, Heart Failure, Humans, Male, Metabolic Networks and Pathways, Mice, Mice, Knockout, Middle Aged, Myocytes, Cardiac, Phosphoprotein Phosphatases, Primary Cell Culture, Pyridines, Quantitative Trait Loci, Rats, Rats, Sprague-Dawley, Sequence Analysis, RNA
Abstract

Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions underlying this disease remains incomplete. Here, we harvest 1352 healthy and failing human hearts directly from transplant center operating rooms, and obtain genome-wide genotyping and gene expression measurements for a subset of 313. We build failing and non-failing cardiac regulatory gene networks, revealing important regulators and cardiac expression quantitative trait loci (eQTLs). PPP1R3A emerges as a regulator whose network connectivity changes significantly between health and disease. RNA sequencing after PPP1R3A knockdown validates network-based predictions, and highlights metabolic pathway regulation associated with increased cardiomyocyte size and perturbed respiratory metabolism. Mice lacking PPP1R3A are protected against pressure-overload heart failure. We present a global gene interaction map of the human heart failure transition, identify previously unreported cardiac eQTLs, and demonstrate the discovery potential of disease-specific networks through the description of PPP1R3A as a central regulator in heart failure.

Published
2019

9. 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, 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

10. 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

11. 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

12. 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

13. 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

14. Genetic effects on gene expression across human tissues

Author

Aguet, François, Brown, Andrew A, Castel, Stephane E, Davis, Joe R, He, Yuan, Jo, Brian, Mohammadi, Pejman, Park, YoSon, Parsana, Princy, Segrè, Ayellet V, Strober, Benjamin J, Zappala, Zachary, Cummings, Beryl B, Gelfand, Ellen T, Hadley, Kane, Huang, Katherine H, Lek, Monkol, Li, Xiao, Nedzel, Jared L, Nguyen, Duyen Y, Noble, Michael S, Sullivan, Timothy J, Tukiainen, Taru, MacArthur, Daniel G, Getz, Gad, Addington, Anjene, Guan, Ping, Koester, Susan, Little, A Roger, Lockhart, Nicole C, Moore, Helen M, Rao, Abhi, Struewing, Jeffery P, Volpi, Simona, 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, Bryan, 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, Mash, Deborah C, Davis, David A, Sobin, Leslie, Barcus, Mary E, Branton, Philip A, Abell, Nathan S, Balliu, Brunilda, Delaneau, Olivier, Frésard, Laure, Gamazon, Eric R, Garrido-Martín, Diego, Gewirtz, Ariel DH, Gliner, Genna, Gloudemans, Michael J, Han, Buhm, He, Amy Z, Hormozdiari, Farhad, Li, Xin, Liu, Boxiang, Kang, Eun Yong, McDowell, Ian C, Ongen, Halit, Palowitch, John J, Peterson, Christine B, Quon, Gerald, Ripke, Stephan, Saha, Ashis, Shabalin, Andrey A, Shimko, Tyler C, Sul, Jae Hoon, Teran, Nicole A, Tsang, Emily K, Zhang, Hailei, Zhou, Yi-Hui, Bustamante, Carlos D, Cox, Nancy J, and Guigó, Roderic

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Generic health relevance, Alleles, Chromosomes, Human, Disease, Female, Gene Expression Profiling, Gene Expression Regulation, Genetic Variation, Genome, Human, Genotype, Humans, Male, Organ Specificity, Quantitative Trait Loci, 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, Lead analysts:, Laboratory, Data Analysis &Coordinating Center (LDACC):, NIH program management:, Biospecimen collection:, Pathology:, eQTL manuscript working group:, General Science & Technology
Abstract

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.

Published
2017

15. 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
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16. Transcriptomics and chromatin accessibility in multiple African population samples

Author

DeGorter, Marianne K, primary, Goddard, Page C, additional, Karakoc, Emre, additional, Kundu, Soumya, additional, Yan, Stephanie M, additional, Nachun, Daniel, additional, Abell, Nathan, additional, Aguirre, Matthew, additional, Carstensen, Tommy, additional, Chen, Ziwei, additional, Durrant, Matthew, additional, Dwaracherla, Vikranth R, additional, Feng, Karen, additional, Gloudemans, Michael J, additional, Hunter, Naiomi, additional, Moorthy, Mohana P S, additional, Pomilla, Cristina, additional, Rodrigues, Kameron B, additional, Smith, Courtney J, additional, Smith, Kevin S, additional, Ungar, Rachel A, additional, Balliu, Brunilda, additional, Fellay, Jacques, additional, Flicek, Paul, additional, McLaren, Paul J, additional, Henn, Brenna, additional, McCoy, Rajiv C, additional, Sugden, Lauren, additional, Kundaje, Anshul, additional, Sandhu, Manjinder S, additional, Gurdasani, Deepti, additional, and Montgomery, Stephen B, additional

Published
2023
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17. A single-cell CRISPRi platform for characterizing candidate genes relevant to metabolic disorders in human adipocytes

Author

Bielczyk-Maczynska, Ewa, primary, Sharma, Disha, additional, Blencowe, Montgomery, additional, Saliba Gustafsson, Peter, additional, Gloudemans, Michael J., additional, Yang, Xia, additional, Carcamo-Orive, Ivan, additional, Wabitsch, Martin, additional, Svensson, Katrin J., additional, Park, Chong Y., additional, Quertermous, Thomas, additional, Knowles, Joshua W., additional, and Li, Jiehan, additional

Published
2023
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20. 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
Observations, Genetic aspects, Disease susceptibility -- Genetic aspects, Genetic variation -- Observations, Gene expression -- Observations
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
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21. 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 aspects, Research, Genetic research, Mammals -- Genetic aspects, RNA processing -- Research, Genetic regulation
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
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22. 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
Physiological aspects, Chromosomes -- Physiological aspects
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
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24. CROP-Seq: a single-cell CRISPRi platform for characterizing candidate genes relevant to metabolic disorders in human adipocytes

Author

Bielczyk-Maczynska, Ewa, primary, Sharma, Disha, additional, Blencowe, Montgomery, additional, Saliba-Gustafsson, Peter, additional, Gloudemans, Michael J., additional, Yang, Xia, additional, Carcamo-Orive, Ivan, additional, Wabitsch, Martin, additional, Svensson, Katrin J, additional, Park, Chong Y., additional, Quertermous, Thomas, additional, Knowles, Joshua W., additional, and Li, Jiehan, additional

Published
2022
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26. Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes

Author

Gloudemans, Michael J., primary, Balliu, Brunilda, additional, Nachun, Daniel, additional, Durrant, Matthew G., additional, Ingelsson, Erik, additional, Wabitsch, Martin, additional, Quertermous, Thomas, additional, Montgomery, Stephen B., additional, Knowles, Joshua W., additional, and Carcamo-Orive, Ivan, additional

Published
2022
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27. Additional file 1 of Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes

Author

Gloudemans, Michael J., Balliu, Brunilda, Nachun, Daniel, Schnurr, Theresia M., Durrant, Matthew G., Ingelsson, Erik, Wabitsch, Martin, Quertermous, Thomas, Montgomery, Stephen B., Knowles, Joshua W., and Carcamo-Orive, Ivan

Abstract

Additional file 1: Document containing supplementary Figures S1-S7 and supplementary Tables S1-S9. Fig. S1. Selection of genome-wide significant loci and overlapping eQTL/sQTL features for colocalization testing. Fig. S2. Example LocusCompare plots for each quartile of the CLPP-mod score. Fig. S3. Characteristics of candidate and colocalized genes. Fig. S4. Three separate loci with multiple colocalized genes. Fig. S5. Effects of increased gene expression on cardiometabolic trait level / risk, according to the alignment of GWAS and eQTL directions at colocalized loci. Fig. S6. All uniquely colocalized genes that are differentially expressed (DE) under at least one perturbation condition. Fig. S7. Proximal interaction networks for each of the monogenic IR or T2D genes that directly interacts with at least one of the uniquely colocalized genes in perturbation conditions. Table S1. GWAS used for colocalization analysis. Table S2. GTEx QTL tissues used for colocalization analysis. Table S3. List of metabolic perturbations and their abbreviations. Table S4. Genetic studies-based IR/T2D genes used in PPI network analysis. Table S5. Monogenic IR/T2D genes used in PPI network analysis. Table S6. Number of candidate/colocalized genes and loci per GWAS. Table S7. Number of candidate/colocalized genes and loci per QTL type / tissue. Table S8. Fraction of tissue-specific, single-gene colocalizations in each tissue / disease combination. Table S9. Integrative summary table for all uniquely colocalized genes at loci with a WHR, TG, and/or HDL colocalization, but not an insulin sensitivity, T2D, fasting glucose, or fasting insulin colocalization.

Published
2022
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28. Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes

Author

Gloudemans, Michael J., primary, Balliu, Brunilda, additional, Nachun, Daniel, additional, Durrant, Matthew G., additional, Ingelsson, Erik, additional, Wabitsch, Martin, additional, Quertermous, Thomas, additional, Montgomery, Stephen B., additional, Knowles, Joshua W., additional, and Carcamo-Orive, Ivan, additional

Published
2021
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29. Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Author

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

Published
2021
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30. An integrated approach to identify environmental modulators of genetic risk factors for complex traits

Author

Balliu, Brunilda, primary, -Orive, Ivan Carcamo, additional, Gloudemans, Michael J., additional, Nachun, Daniel C., additional, Durrant, Matthew G., additional, Gazal, Steven, additional, Park, Chong Y., additional, Knowles, David A., additional, Wabitsch, Martin, additional, Quertermous, Thomas, additional, Knowles, Joshua W., additional, and Montgomery, Stephen B., additional

Published
2021
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31. Single-cell epigenomic identification of inherited risk loci in Alzheimer’s and Parkinson’s disease

Author

Corces, M. Ryan, primary, Shcherbina, Anna, additional, Kundu, Soumya, additional, Gloudemans, Michael J., additional, Frésard, Laure, additional, Granja, Jeffrey M., additional, Louie, Bryan H., additional, Shams, Shadi, additional, Bagdatli, S. Tansu, additional, Mumbach, Maxwell R., additional, Liu, Bosh, additional, Montine, Kathleen S., additional, Greenleaf, William J., additional, Kundaje, Anshul, additional, Montgomery, Stephen B., additional, Chang, Howard Y., additional, and Montine, Thomas J., additional

Published
2020
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32. Genetic dysregulation of gene expression and splicing during a ten-year period of human aging

Author

Balliu, Brunilda, primary, Durrant, Matthew, additional, de Goede, Olivia, additional, Abell, Nathan, additional, Li, Xin, additional, Liu, Boxiang, additional, Gloudemans, Michael J, additional, Cook, Naomi L., additional, Smith, Kevin S., additional, Pala, Mauro, additional, Cucca, Francesco, additional, Schlessinger, David, additional, Jaiswal, Siddhartha, additional, Sabatti, Chiara, additional, Lind, Lars, additional, Ingelsson, Erik, additional, and Montgomery, Stephen B, additional

Published
2019
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33. Ocular disease mechanisms elucidated by genetics of human fetal retinal pigment epithelium gene expression

Author

Liu, Boxiang, primary, Calton, Melissa A., additional, Abell, Nathan S., additional, Benchorin, Gillie, additional, Gloudemans, Michael J., additional, Chen, Ming, additional, Hu, Jane, additional, Li, Xin, additional, Balliu, Brunilda, additional, Bok, Dean, additional, Montgomery, Stephen B., additional, and Vollrath, Douglas, additional

Published
2018
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34. Genetic effects on gene expression across human tissues

Author

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

Abstract

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.

Published
2017
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35. Local genetic effects on gene expression across 44 human tissues

Author

Aguet, François, Brown, Andrew A., Castel, Stephane E., Davis, Joe R., Mohammadi, Pejman, Segrè, Ayellet V., Zappala, Zachary, Abell, Nathan S., Frésard, Laure, Gamazon, Eric R., Gelfand, Ellen, Gloudemans, Michael J., He, Yuan, Hormozdiari, Farhad, Li, Xiao, Li, Xin, Liu, Boxiang, Garrido-Martín, Diego, Ongen, Halit, Palowitch, John J., Park, YoSon, Peterson, Christine B., Quon, Gerald, Ripke, Stephan, Shabalin, Andrey A., Shimko, Tyler C., Strober, Benjamin J., Sullivan, Timothy J., Teran, Nicole A., Tsang, Emily K., Zhang, Hailei, Zhou, Yi-Hui, Battle, Alexis, Bustamonte, Carlos D., Cox, Nancy J., Engelhardt, Barbara E., Eskin, Eleazar, Getz, Gad, Kellis, Manolis, Li, Gen, MacArthur, Daniel G., Nobel, Andrew B., Sabbati, Chiara, Wen, Xiaoquan, Wright, Fred A., Lappalainen, Tuuli, Ardlie, Kristin G., Dermitzakis, Emmanouil T., Brown, Christopher D., and Montgomery, Stephen B.

Subjects
Genetics, Regulation of gene expression, 0303 health sciences, Genomics, Functional impact, Computational biology, Biology, 03 medical and health sciences, 0302 clinical medicine, Gene expression, Expression quantitative trait loci, Identification (biology), Functional genomics, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Expression quantitative trait locus (eQTL) mapping provides a powerful means to identify functional variants influencing gene expression and disease pathogenesis. We report the identification of cis-eQTLs from 7,051 post-mortem samples representing 44 tissues and 449 individuals as part of the Genotype-Tissue Expression (GTEx) project. We find a cis-eQTL for 88% of all annotated protein-coding genes, with one-third having multiple independent effects. We identify numerous tissue-specific cis-eQTLs, highlighting the unique functional impact of regulatory variation in diverse tissues. By integrating large-scale functional genomics data and state-of-the-art fine-mapping algorithms, we identify multiple features predictive of tissue-specific and shared regulatory effects. We improve estimates of cis-eQTL sharing and effect sizes using allele specific expression across tissues. Finally, we demonstrate the utility of this large compendium of cis-eQTLs for understanding the tissue-specific etiology of complex traits, including coronary artery disease. The GTEx project provides an exceptional resource that has improved our understanding of gene regulation across tissues and the role of regulatory variation in human genetic diseases.

Published
2016
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36. Population- and individual-specific regulatory variation in Sardinia

Author

Pala, Mauro, primary, Zappala, Zachary, additional, Marongiu, Mara, additional, Li, Xin, additional, Davis, Joe R, additional, Cusano, Roberto, additional, Crobu, Francesca, additional, Kukurba, Kimberly R, additional, Gloudemans, Michael J, additional, Reinier, Frederic, additional, Berutti, Riccardo, additional, Piras, Maria G, additional, Mulas, Antonella, additional, Zoledziewska, Magdalena, additional, Marongiu, Michele, additional, Sorokin, Elena P, additional, Hess, Gaelen T, additional, Smith, Kevin S, additional, Busonero, Fabio, additional, Maschio, Andrea, additional, Steri, Maristella, additional, Sidore, Carlo, additional, Sanna, Serena, additional, Fiorillo, Edoardo, additional, Bassik, Michael C, additional, Sawcer, Stephen J, additional, Battle, Alexis, additional, Novembre, John, additional, Jones, Chris, additional, Angius, Andrea, additional, Abecasis, Gonçalo R, additional, Schlessinger, David, additional, Cucca, Francesco, additional, and Montgomery, Stephen B, additional

Published
2017
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37. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Author

Barbeira, Alvaro N., Dickinson, Scott P., Bonazzola, Rodrigo, Zheng, Jiamao, Wheeler, Heather E., Torres, Jason M., Torstenson, Eric S., Shah, Kaanan P., Garcia, Tzintzuni, Edwards, Todd L., Stahl, Eli A., Huckins, Laura M., 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., 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, 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., 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, Nicolae, Dan L., Cox, Nancy J., and Im, Hae Kyung

Abstract

Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified reference sets. We apply this framework to 44 GTEx tissues and 100+ phenotypes from GWAS and meta-analysis studies, creating a growing public catalog of associations that seeks to capture the effects of gene expression variation on human phenotypes. Replication in an independent cohort is shown. Most of the associations are tissue specific, suggesting context specificity of the trait etiology. Colocalized significant associations in unexpected tissues underscore the need for an agnostic scanning of multiple contexts to improve our ability to detect causal regulatory mechanisms. Monogenic disease genes are enriched among significant associations for related traits, suggesting that smaller alterations of these genes may cause a spectrum of milder phenotypes.

Published
2018
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38. Transcriptomics and chromatin accessibility in multiple African population samples.

Author

DeGorter MK, Goddard PC, Karakoc E, Kundu S, Yan SM, Nachun D, Abell N, Aguirre M, Carstensen T, Chen Z, Durrant M, Dwaracherla VR, Feng K, Gloudemans MJ, Hunter N, Moorthy MPS, Pomilla C, Rodrigues KB, Smith CJ, Smith KS, Ungar RA, Balliu B, Fellay J, Flicek P, McLaren PJ, Henn B, McCoy RC, Sugden L, Kundaje A, Sandhu MS, Gurdasani D, and Montgomery SB

Abstract

Mapping the functional human genome and impact of genetic variants is often limited to European-descendent population samples. To aid in overcoming this limitation, we measured gene expression using RNA sequencing in lymphoblastoid cell lines (LCLs) from 599 individuals from six African populations to identify novel transcripts including those not represented in the hg38 reference genome. We used whole genomes from the 1000 Genomes Project and 164 Maasai individuals to identify 8,881 expression and 6,949 splicing quantitative trait loci (eQTLs/sQTLs), and 2,611 structural variants associated with gene expression (SV-eQTLs). We further profiled chromatin accessibility using ATAC-Seq in a subset of 100 representative individuals, to identity chromatin accessibility quantitative trait loci (caQTLs) and allele-specific chromatin accessibility, and provide predictions for the functional effect of 78.9 million variants on chromatin accessibility. Using this map of eQTLs and caQTLs we fine-mapped GWAS signals for a range of complex diseases. Combined, this work expands global functional genomic data to identify novel transcripts, functional elements and variants, understand population genetic history of molecular quantitative trait loci, and further resolve the genetic basis of multiple human traits and disease., Competing Interests: Competing Interests PF is a member of the scientific advisory boards of Fabric Genomics, Inc., and Eagle Genomics, Ltd. AK is on the scientific advisory board of PatchBio, SerImmune, AINovo, TensorBio and OpenTargets, was a paid consultant with Illumina and owns shares in DeepGenomics, Immunai, Illumina, PatchBio and Freenome. SBM is a paid consultant for BioMarin, Tenaya Therapeutics and MyOme.

Published
2023
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