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1. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Surendran, Praveen, Young, Robin, Barnes, Daniel R., Nielsen, Sune Fallgaard, Rasheed, Asif, Samuel, Maria, Zhao, Wei, Kontto, Jukka, Perola, Markus, Caslake, Muriel, de Craen, Anton J.M., Trompet, Stella, Uria-Nickelsen, Maria, Malarstig, Anders, Reily, Dermot F., Hoek, Maarten, Vogt, Thomas, Jukema, J. Wouter, Sattar, Naveed, Ford, Ian, Packard, Chris J., Alam, Dewan S., Majumder, Abdulla al Shafi, Di Angelantonio, Emanuele, Chowdhury, Rajiv, Amouyel, Philippe, Arveiler, Dominique, Blankenberg, Stefan, Ferrières, Jean, Kee, Frank, Kuulasmaa, Kari, Müller-Nurasyid, Martina, Veronesi, Giovanni, Virtamo, Jarmo, EPIC-CVD Consortium, Frossard, Philippe, Nordestgaard, Børge Grønne, Saleheen, Danish, Danesh, John, Butterworth, Adam S., Howson, Joanna M.M., Erzurumluoglu, A. Mesut, Jackson, Victoria E., Melbourne, Carl A., Varga, Tibor V., Warren, Helen R., Tragante, Vinicius, Tachmazidou, Ioanna, Harris, Sarah E., Evangelou, Evangelos, Marten, Jonathan, Zhang, Weihua, Altmaier, Elisabeth, Luan, Jian’an, Langenberg, Claudia, Scott, Robert A., Yaghootkar, Hanieh, Stirrups, Kathleen, Kanoni, Stavroula, Marouli, Eirini, Karpe, Fredrik, Dominiczak, Anna F., Sever, Peter, Poulter, Neil, Rolandsson, Olov, Baumbach, Clemens, Afaq, Saima, Chambers, John C., Kooner, Jaspal S., Wareham, Nicholas J., Renström, Frida, Hallmans, Göran, Marioni, Riccardo E., Corley, Janie, Starr, John M., Verweij, Niek, de Boer, Rudolf A., van der Meer, Peter, Yavas, Ersin, Vaartjes, Ilonca, Bots, Michiel L., Asselbergs, Folkert W., Grabe, Hans J., Völzke, Henry, Nauck, Matthias, Weiss, Stefan, Pharoah, Paul D.P., Dunning, Alison M., Dennis, Joe G., Thompson, Deborah J., Michailidou, Kyriaki, Easton, Douglas F., Antoniou, Antonis C., Tyrrell, Jessica, Mihailov, Evelin, Samani, Nilesh J., Zhou, Kaixin, Neville, Matthew J., Metspalu, Andres, Palmer, Colin N.A., Hall, Ian P., Strachan, David P., Deary, Ian J., Frayling, Tim M., Hayward, Caroline, van der Harst, Pim, Zeggini, Eleftheria, Understanding Society Scientific Group, Munroe, Patricia B., Jansson, Jan-Håkan, Franks, Paul W., Deloukas, Panos, Caulfield, Mark J., Wain, Louise V., Tobin, Martin D., Brazel, David M., Jiang, Yu, Hughey, Jordan M., Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J. Dylan, Liu, MengZhen, Bertelsen, Sarah, Chou, Yi-Ling, Faul, Jessica D., Haessler, Jeff, Hammerschlag, Anke R., Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, de Leeuw, Christiaan A., Loukola, Anu, Mangino, Massimo, Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B., Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G., Martin, Nicholas G., Polderman, Tinca J., Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H. Steven, Smith, Jennifer A., Tardif, Jean-Claude, Tindle, Hilary A., van der Leij, Andries R., Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P., Foroud, Tatiana, Kardia, Sharon L.R., Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Weir, David R., Kaprio, Jaakko, Abecasis, Gonçalo R., Liu, Dajiang J., and Vrieze, Scott

Published
2019
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2. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Brazel, David M., Jiang, Yu, Hughey, Jordan M., Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J. Dylan, Liu, MengZhen, Barnes, Daniel R., Bertelsen, Sarah, Chou, Yi-Ling, Erzurumluoglu, A. Mesut, Faul, Jessica D., Haessler, Jeff, Hammerschlag, Anke R., Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, de Leeuw, Christiaan A., Loukola, Anu, Mangino, Massimo, Melbourne, Carl A., Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Zhao, Wei, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B., Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G., Martin, Nicholas G., Polderman, Tinca J., Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H. Steven, Smith, Jennifer A., Tardif, Jean-Claude, Tindle, Hilary A., van der Leij, Andries R., Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P., Foroud, Tatiana, Howson, Joanna M. M., Kardia, Sharon L. R., Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Tobin, Martin D., Weir, David R., Kaprio, Jaakko, Abecasis, Gonçalo R., Liu, Dajiang J., Vrieze, Scott, Brazel, David M., Jiang, Yu, Hughey, Jordan M., Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J. Dylan, Liu, MengZhen, Barnes, Daniel R., Bertelsen, Sarah, Chou, Yi-Ling, Erzurumluoglu, A. Mesut, Faul, Jessica D., Haessler, Jeff, Hammerschlag, Anke R., Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, de Leeuw, Christiaan A., Loukola, Anu, Mangino, Massimo, Melbourne, Carl A., Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Zhao, Wei, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B., Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G., Martin, Nicholas G., Polderman, Tinca J., Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H. Steven, Smith, Jennifer A., Tardif, Jean-Claude, Tindle, Hilary A., van der Leij, Andries R., Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P., Foroud, Tatiana, Howson, Joanna M. M., Kardia, Sharon L. R., Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Tobin, Martin D., Weir, David R., Kaprio, Jaakko, Abecasis, Gonçalo R., Liu, Dajiang J., and Vrieze, Scott

Abstract

BACKGROUND: Smoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk. METHODS: We analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci. RESULTS: Meta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals. CONCLUSIONS: Rare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior., Group Author(s): CHD Exome Consortium; Consortium Genetics Smoking; EPIC-CVD Consortium; Understanding Soc Sci Grp

Published
2019
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3. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Brazel, David M, Jiang, Yu, Hughey, Jordan M, Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J Dylan, Liu, MengZhen, CHD Exome+ Consortium, Consortium For Genetics Of Smoking Behaviour, Barnes, Daniel R, Bertelsen, Sarah, Chou, Yi-Ling, Erzurumluoglu, A Mesut, Faul, Jessica D, Haessler, Jeff, Hammerschlag, Anke R, Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, De Leeuw, Christiaan A, Loukola, Anu, Mangino, Massimo, Melbourne, Carl A, Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Zhao, Wei, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B, Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G, Martin, Nicholas G, Polderman, Tinca J, Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H Steven, Smith, Jennifer A, Tardif, Jean-Claude, Tindle, Hilary A, Van Der Leij, Andries R, Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P, Foroud, Tatiana, Howson, Joanna MM, Kardia, Sharon LR, Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Tobin, Martin D, Weir, David R, Kaprio, Jaakko, Abecasis, Gonçalo R, Liu, Dajiang J, and Vrieze, Scott

Subjects
Nicotine, Alcohol Drinking, Genotype, Smoking, Genetic Variation, Polymorphism, Single Nucleotide, 3. Good health, Heritability, Phenotype, Tobacco, Databases, Genetic, Behavioral genetics, GWAS, Humans, Exome, Genetic Predisposition to Disease, Alcohol, Genome-Wide Association Study, Oligonucleotide Array Sequence Analysis
Abstract

BACKGROUND: Smoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk. METHODS: We analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci. RESULTS: Meta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals. CONCLUSIONS: Rare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior.

4. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use.

Author

Brazel DM, Jiang Y, Hughey JM, Turcot V, Zhan X, Gong J, Batini C, Weissenkampen JD, Liu M, Barnes DR, Bertelsen S, Chou YL, Erzurumluoglu AM, Faul JD, Haessler J, Hammerschlag AR, Hsu C, Kapoor M, Lai D, Le N, de Leeuw CA, Loukola A, Mangino M, Melbourne CA, Pistis G, Qaiser B, Rohde R, Shao Y, Stringham H, Wetherill L, Zhao W, Agrawal A, Bierut L, Chen C, Eaton CB, Goate A, Haiman C, Heath A, Iacono WG, Martin NG, Polderman TJ, Reiner A, Rice J, Schlessinger D, Scholte HS, Smith JA, Tardif JC, Tindle HA, van der Leij AR, Boehnke M, Chang-Claude J, Cucca F, David SP, Foroud T, Howson JMM, Kardia SLR, Kooperberg C, Laakso M, Lettre G, Madden P, McGue M, North K, Posthuma D, Spector T, Stram D, Tobin MD, Weir DR, Kaprio J, Abecasis GR, Liu DJ, and Vrieze S

Subjects
Alcohol Drinking genetics, Databases, Genetic, Genetic Predisposition to Disease genetics, Genome-Wide Association Study statistics & numerical data, Genotype, Humans, Oligonucleotide Array Sequence Analysis statistics & numerical data, Phenotype, Polymorphism, Single Nucleotide genetics, Smoking genetics, Alcohol Drinking physiopathology, Exome, Genetic Variation physiology, Smoking physiopathology
Abstract

Background: Smoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk., Methods: We analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci., Results: Meta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals., Conclusions: Rare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior., (Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Published
2019
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