Rare coding variants in CHRNB2 reduce the likelihood of smoking

Human genetic studies of smoking behavior have been thus far largely limited to common variants. Studying rare coding variants has the potential to identify drug targets. We performed an exome-wide association study of smoking phenotypes in up to 749,459 individuals and discovered a protective assoc...

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Veröffentlicht in:Nature genetics 2023-07, Vol.55 (7), p.1138-1148
Hauptverfasser: Rajagopal, Veera M., Watanabe, Kyoko, Mbatchou, Joelle, Ayer, Ariane, Quon, Peter, Sharma, Deepika, Kessler, Michael D., Praveen, Kavita, Gelfman, Sahar, Parikshak, Neelroop, Otto, Jacqueline M., Bao, Suying, Chim, Shek Man, Pavlopoulos, Elias, Avbersek, Andreja, Kapoor, Manav, Chen, Esteban, Jones, Marcus B., Leblanc, Michelle, Emberson, Jonathan, Collins, Rory, Torres, Jason, Morales, Pablo Kuri, Tapia-Conyer, Roberto, Alegre, Jesus, Berumen, Jaime, Shuldiner, Alan R., Balasubramanian, Suganthi, Abecasis, Gonçalo R., Kang, Hyun M., Marchini, Jonathan, Stahl, Eli A., Jorgenson, Eric, Sanchez, Robert, Liedtke, Wolfgang, Anderson, Matthew, Cantor, Michael, Lederer, David, Baras, Aris, Coppola, Giovanni
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container_end_page 1148
container_issue 7
container_start_page 1138
container_title Nature genetics
container_volume 55
creator Rajagopal, Veera M.
Watanabe, Kyoko
Mbatchou, Joelle
Ayer, Ariane
Quon, Peter
Sharma, Deepika
Kessler, Michael D.
Praveen, Kavita
Gelfman, Sahar
Parikshak, Neelroop
Otto, Jacqueline M.
Bao, Suying
Chim, Shek Man
Pavlopoulos, Elias
Avbersek, Andreja
Kapoor, Manav
Chen, Esteban
Jones, Marcus B.
Leblanc, Michelle
Emberson, Jonathan
Collins, Rory
Torres, Jason
Morales, Pablo Kuri
Tapia-Conyer, Roberto
Alegre, Jesus
Berumen, Jaime
Shuldiner, Alan R.
Balasubramanian, Suganthi
Abecasis, Gonçalo R.
Kang, Hyun M.
Marchini, Jonathan
Stahl, Eli A.
Jorgenson, Eric
Sanchez, Robert
Liedtke, Wolfgang
Anderson, Matthew
Cantor, Michael
Lederer, David
Baras, Aris
Coppola, Giovanni
description Human genetic studies of smoking behavior have been thus far largely limited to common variants. Studying rare coding variants has the potential to identify drug targets. We performed an exome-wide association study of smoking phenotypes in up to 749,459 individuals and discovered a protective association in CHRNB2 , encoding the β2 subunit of the α4β2 nicotine acetylcholine receptor. Rare predicted loss-of-function and likely deleterious missense variants in CHRNB2 in aggregate were associated with a 35% decreased odds for smoking heavily (odds ratio (OR) = 0.65, confidence interval (CI) = 0.56–0.76, P  = 1.9 × 10 −8 ). An independent common variant association in the protective direction ( rs2072659 ; OR = 0.96; CI = 0.94–0.98; P  = 5.3 × 10 −6 ) was also evident, suggesting an allelic series. Our findings in humans align with decades-old experimental observations in mice that β2 loss abolishes nicotine-mediated neuronal responses and attenuates nicotine self-administration. Our genetic discovery will inspire future drug designs targeting CHRNB2 in the brain for the treatment of nicotine addiction. An exome-wide association study of six smoking phenotypes in up to 749,459 individuals identifies associations of rare coding variants in CHRNB2 that may reduce the likelihood of smoking.
doi_str_mv 10.1038/s41588-023-01417-8
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Studying rare coding variants has the potential to identify drug targets. We performed an exome-wide association study of smoking phenotypes in up to 749,459 individuals and discovered a protective association in CHRNB2 , encoding the β2 subunit of the α4β2 nicotine acetylcholine receptor. Rare predicted loss-of-function and likely deleterious missense variants in CHRNB2 in aggregate were associated with a 35% decreased odds for smoking heavily (odds ratio (OR) = 0.65, confidence interval (CI) = 0.56–0.76, P  = 1.9 × 10 −8 ). An independent common variant association in the protective direction ( rs2072659 ; OR = 0.96; CI = 0.94–0.98; P  = 5.3 × 10 −6 ) was also evident, suggesting an allelic series. Our findings in humans align with decades-old experimental observations in mice that β2 loss abolishes nicotine-mediated neuronal responses and attenuates nicotine self-administration. Our genetic discovery will inspire future drug designs targeting CHRNB2 in the brain for the treatment of nicotine addiction. An exome-wide association study of six smoking phenotypes in up to 749,459 individuals identifies associations of rare coding variants in CHRNB2 that may reduce the likelihood of smoking.</description><identifier>ISSN: 1061-4036</identifier><identifier>EISSN: 1546-1718</identifier><identifier>DOI: 10.1038/s41588-023-01417-8</identifier><identifier>PMID: 37308787</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>45 ; 45/22 ; 45/23 ; 45/43 ; 45/56 ; 631/154 ; 631/208/1515 ; 631/208/457 ; Addictions ; Agriculture ; Animal Genetics and Genomics ; Biomedical and Life Sciences ; Biomedicine ; Cancer Research ; Chronic obstructive pulmonary disease ; Drug self-administration ; Gene Function ; Genealogy ; Genes ; Genomes ; Genotype &amp; phenotype ; Health behavior ; Human Genetics ; Neural coding ; Nicotine ; Phenotypes ; Smoking ; Target recognition ; Therapeutic targets</subject><ispartof>Nature genetics, 2023-07, Vol.55 (7), p.1138-1148</ispartof><rights>The Author(s) 2023</rights><rights>2023. 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Studying rare coding variants has the potential to identify drug targets. We performed an exome-wide association study of smoking phenotypes in up to 749,459 individuals and discovered a protective association in CHRNB2 , encoding the β2 subunit of the α4β2 nicotine acetylcholine receptor. Rare predicted loss-of-function and likely deleterious missense variants in CHRNB2 in aggregate were associated with a 35% decreased odds for smoking heavily (odds ratio (OR) = 0.65, confidence interval (CI) = 0.56–0.76, P  = 1.9 × 10 −8 ). An independent common variant association in the protective direction ( rs2072659 ; OR = 0.96; CI = 0.94–0.98; P  = 5.3 × 10 −6 ) was also evident, suggesting an allelic series. Our findings in humans align with decades-old experimental observations in mice that β2 loss abolishes nicotine-mediated neuronal responses and attenuates nicotine self-administration. Our genetic discovery will inspire future drug designs targeting CHRNB2 in the brain for the treatment of nicotine addiction. An exome-wide association study of six smoking phenotypes in up to 749,459 individuals identifies associations of rare coding variants in CHRNB2 that may reduce the likelihood of smoking.</description><subject>45</subject><subject>45/22</subject><subject>45/23</subject><subject>45/43</subject><subject>45/56</subject><subject>631/154</subject><subject>631/208/1515</subject><subject>631/208/457</subject><subject>Addictions</subject><subject>Agriculture</subject><subject>Animal Genetics and Genomics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Drug self-administration</subject><subject>Gene Function</subject><subject>Genealogy</subject><subject>Genes</subject><subject>Genomes</subject><subject>Genotype &amp; phenotype</subject><subject>Health behavior</subject><subject>Human Genetics</subject><subject>Neural 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Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research 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Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rajagopal, Veera M.</au><au>Watanabe, Kyoko</au><au>Mbatchou, Joelle</au><au>Ayer, Ariane</au><au>Quon, Peter</au><au>Sharma, Deepika</au><au>Kessler, Michael D.</au><au>Praveen, Kavita</au><au>Gelfman, Sahar</au><au>Parikshak, Neelroop</au><au>Otto, Jacqueline M.</au><au>Bao, Suying</au><au>Chim, Shek Man</au><au>Pavlopoulos, Elias</au><au>Avbersek, Andreja</au><au>Kapoor, Manav</au><au>Chen, Esteban</au><au>Jones, Marcus B.</au><au>Leblanc, Michelle</au><au>Emberson, Jonathan</au><au>Collins, Rory</au><au>Torres, Jason</au><au>Morales, Pablo Kuri</au><au>Tapia-Conyer, Roberto</au><au>Alegre, Jesus</au><au>Berumen, Jaime</au><au>Shuldiner, Alan R.</au><au>Balasubramanian, Suganthi</au><au>Abecasis, Gonçalo R.</au><au>Kang, Hyun M.</au><au>Marchini, Jonathan</au><au>Stahl, Eli A.</au><au>Jorgenson, Eric</au><au>Sanchez, Robert</au><au>Liedtke, Wolfgang</au><au>Anderson, Matthew</au><au>Cantor, Michael</au><au>Lederer, David</au><au>Baras, Aris</au><au>Coppola, Giovanni</au><aucorp>Regeneron Genetics Center</aucorp><aucorp>GHS-REGN DiscovEHR collaboration</aucorp><aucorp>RGC Management &amp; Leadership Team</aucorp><aucorp>Genome Informatics &amp; Data Engineering</aucorp><aucorp>Therapeutic Area Genetics</aucorp><aucorp>Strategic Partnerships &amp; Business Operations</aucorp><aucorp>Analytical Genetics and Data Science</aucorp><aucorp>Sequencing &amp; Lab Operations</aucorp><aucorp>Clinical Informatics</aucorp><aucorp>Research Program Management &amp; Strategic Initiatives</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rare coding variants in CHRNB2 reduce the likelihood of smoking</atitle><jtitle>Nature genetics</jtitle><stitle>Nat Genet</stitle><addtitle>Nat Genet</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>55</volume><issue>7</issue><spage>1138</spage><epage>1148</epage><pages>1138-1148</pages><issn>1061-4036</issn><eissn>1546-1718</eissn><abstract>Human genetic studies of smoking behavior have been thus far largely limited to common variants. Studying rare coding variants has the potential to identify drug targets. We performed an exome-wide association study of smoking phenotypes in up to 749,459 individuals and discovered a protective association in CHRNB2 , encoding the β2 subunit of the α4β2 nicotine acetylcholine receptor. Rare predicted loss-of-function and likely deleterious missense variants in CHRNB2 in aggregate were associated with a 35% decreased odds for smoking heavily (odds ratio (OR) = 0.65, confidence interval (CI) = 0.56–0.76, P  = 1.9 × 10 −8 ). An independent common variant association in the protective direction ( rs2072659 ; OR = 0.96; CI = 0.94–0.98; P  = 5.3 × 10 −6 ) was also evident, suggesting an allelic series. Our findings in humans align with decades-old experimental observations in mice that β2 loss abolishes nicotine-mediated neuronal responses and attenuates nicotine self-administration. Our genetic discovery will inspire future drug designs targeting CHRNB2 in the brain for the treatment of nicotine addiction. An exome-wide association study of six smoking phenotypes in up to 749,459 individuals identifies associations of rare coding variants in CHRNB2 that may reduce the likelihood of smoking.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>37308787</pmid><doi>10.1038/s41588-023-01417-8</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1509-1825</orcidid><orcidid>https://orcid.org/0000-0001-7792-9422</orcidid><orcidid>https://orcid.org/0000-0002-6830-3396</orcidid><orcidid>https://orcid.org/0000-0003-2027-1871</orcidid><orcidid>https://orcid.org/0000-0002-3303-8860</orcidid><orcidid>https://orcid.org/0000-0001-6707-3317</orcidid><orcidid>https://orcid.org/0000-0001-6682-940X</orcidid><orcidid>https://orcid.org/0000-0001-9390-3871</orcidid><orcidid>https://orcid.org/0000-0002-5116-8394</orcidid><orcidid>https://orcid.org/0000-0003-2105-1061</orcidid><orcidid>https://orcid.org/0000-0002-7537-7035</orcidid><orcidid>https://orcid.org/0000-0003-0610-8322</orcidid><orcidid>https://orcid.org/0000-0002-1074-1203</orcidid><orcidid>https://orcid.org/0000-0001-9921-4305</orcidid><orcidid>https://orcid.org/0000-0002-2245-3743</orcidid><orcidid>https://orcid.org/0000-0002-5829-8191</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1061-4036
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issn 1061-4036
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language eng
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source Springer Nature - Complete Springer Journals; Nature Journals Online
subjects 45
45/22
45/23
45/43
45/56
631/154
631/208/1515
631/208/457
Addictions
Agriculture
Animal Genetics and Genomics
Biomedical and Life Sciences
Biomedicine
Cancer Research
Chronic obstructive pulmonary disease
Drug self-administration
Gene Function
Genealogy
Genes
Genomes
Genotype & phenotype
Health behavior
Human Genetics
Neural coding
Nicotine
Phenotypes
Smoking
Target recognition
Therapeutic targets
title Rare coding variants in CHRNB2 reduce the likelihood of smoking
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