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 |
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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 |
format | Article |
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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 & 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. The Author(s).</rights><rights>Copyright Nature Publishing Group Jul 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-673e3937cd9e3fe934827e70153f9a1e930605b1a9a35d602b57b333b5a228763</citedby><cites>FETCH-LOGICAL-c475t-673e3937cd9e3fe934827e70153f9a1e930605b1a9a35d602b57b333b5a228763</cites><orcidid>0000-0003-1509-1825 ; 0000-0001-7792-9422 ; 0000-0002-6830-3396 ; 0000-0003-2027-1871 ; 0000-0002-3303-8860 ; 0000-0001-6707-3317 ; 0000-0001-6682-940X ; 0000-0001-9390-3871 ; 0000-0002-5116-8394 ; 0000-0003-2105-1061 ; 0000-0002-7537-7035 ; 0000-0003-0610-8322 ; 0000-0002-1074-1203 ; 0000-0001-9921-4305 ; 0000-0002-2245-3743 ; 0000-0002-5829-8191</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41588-023-01417-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41588-023-01417-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37308787$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rajagopal, Veera M.</creatorcontrib><creatorcontrib>Watanabe, Kyoko</creatorcontrib><creatorcontrib>Mbatchou, Joelle</creatorcontrib><creatorcontrib>Ayer, Ariane</creatorcontrib><creatorcontrib>Quon, Peter</creatorcontrib><creatorcontrib>Sharma, Deepika</creatorcontrib><creatorcontrib>Kessler, Michael D.</creatorcontrib><creatorcontrib>Praveen, Kavita</creatorcontrib><creatorcontrib>Gelfman, Sahar</creatorcontrib><creatorcontrib>Parikshak, Neelroop</creatorcontrib><creatorcontrib>Otto, Jacqueline M.</creatorcontrib><creatorcontrib>Bao, Suying</creatorcontrib><creatorcontrib>Chim, Shek Man</creatorcontrib><creatorcontrib>Pavlopoulos, Elias</creatorcontrib><creatorcontrib>Avbersek, Andreja</creatorcontrib><creatorcontrib>Kapoor, Manav</creatorcontrib><creatorcontrib>Chen, Esteban</creatorcontrib><creatorcontrib>Jones, Marcus B.</creatorcontrib><creatorcontrib>Leblanc, Michelle</creatorcontrib><creatorcontrib>Emberson, Jonathan</creatorcontrib><creatorcontrib>Collins, Rory</creatorcontrib><creatorcontrib>Torres, Jason</creatorcontrib><creatorcontrib>Morales, Pablo Kuri</creatorcontrib><creatorcontrib>Tapia-Conyer, Roberto</creatorcontrib><creatorcontrib>Alegre, Jesus</creatorcontrib><creatorcontrib>Berumen, Jaime</creatorcontrib><creatorcontrib>Shuldiner, Alan R.</creatorcontrib><creatorcontrib>Balasubramanian, Suganthi</creatorcontrib><creatorcontrib>Abecasis, Gonçalo R.</creatorcontrib><creatorcontrib>Kang, Hyun M.</creatorcontrib><creatorcontrib>Marchini, Jonathan</creatorcontrib><creatorcontrib>Stahl, Eli A.</creatorcontrib><creatorcontrib>Jorgenson, Eric</creatorcontrib><creatorcontrib>Sanchez, Robert</creatorcontrib><creatorcontrib>Liedtke, Wolfgang</creatorcontrib><creatorcontrib>Anderson, Matthew</creatorcontrib><creatorcontrib>Cantor, Michael</creatorcontrib><creatorcontrib>Lederer, David</creatorcontrib><creatorcontrib>Baras, Aris</creatorcontrib><creatorcontrib>Coppola, Giovanni</creatorcontrib><creatorcontrib>Regeneron Genetics Center</creatorcontrib><creatorcontrib>GHS-REGN DiscovEHR collaboration</creatorcontrib><creatorcontrib>RGC Management & Leadership Team</creatorcontrib><creatorcontrib>Genome Informatics & Data Engineering</creatorcontrib><creatorcontrib>Therapeutic Area Genetics</creatorcontrib><creatorcontrib>Strategic Partnerships & Business Operations</creatorcontrib><creatorcontrib>Analytical Genetics and Data Science</creatorcontrib><creatorcontrib>Sequencing & Lab Operations</creatorcontrib><creatorcontrib>Clinical Informatics</creatorcontrib><creatorcontrib>Research Program Management & Strategic Initiatives</creatorcontrib><title>Rare coding variants in CHRNB2 reduce the likelihood of smoking</title><title>Nature genetics</title><addtitle>Nat Genet</addtitle><addtitle>Nat Genet</addtitle><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.</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 & phenotype</subject><subject>Health behavior</subject><subject>Human Genetics</subject><subject>Neural coding</subject><subject>Nicotine</subject><subject>Phenotypes</subject><subject>Smoking</subject><subject>Target recognition</subject><subject>Therapeutic 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coding variants in CHRNB2 reduce the likelihood of smoking</title><author>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, 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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 & Leadership Team</aucorp><aucorp>Genome Informatics & Data Engineering</aucorp><aucorp>Therapeutic Area Genetics</aucorp><aucorp>Strategic Partnerships & Business Operations</aucorp><aucorp>Analytical Genetics and Data Science</aucorp><aucorp>Sequencing & Lab Operations</aucorp><aucorp>Clinical Informatics</aucorp><aucorp>Research Program Management & 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> |
fulltext | fulltext |
identifier | ISSN: 1061-4036 |
ispartof | Nature genetics, 2023-07, Vol.55 (7), p.1138-1148 |
issn | 1061-4036 1546-1718 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10335934 |
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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