Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration

Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cell reports. Medicine 2023-07, Vol.4 (7), p.101085-101085, Article 101085
Hauptverfasser: Han, Xikun, Lains, Ines, Li, Jun, Li, Jinglun, Chen, Yiheng, Yu, Bing, Qi, Qibin, Boerwinkle, Eric, Kaplan, Robert, Thyagarajan, Bharat, Daviglus, Martha, Joslin, Charlotte E., Cai, Jianwen, Guasch-Ferré, Marta, Tobias, Deirdre K., Rimm, Eric, Ascherio, Alberto, Costenbader, Karen, Karlson, Elizabeth, Mucci, Lorelei, Eliassen, A. Heather, Zeleznik, Oana, Miller, John, Vavvas, Demetrios G., Kim, Ivana K., Silva, Rufino, Miller, Joan, Hu, Frank, Willett, Walter, Lasky-Su, Jessica, Kraft, Peter, Richards, J. Brent, MacGregor, Stuart, Husain, Deeba, Liang, Liming
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 101085
container_issue 7
container_start_page 101085
container_title Cell reports. Medicine
container_volume 4
creator Han, Xikun
Lains, Ines
Li, Jun
Li, Jinglun
Chen, Yiheng
Yu, Bing
Qi, Qibin
Boerwinkle, Eric
Kaplan, Robert
Thyagarajan, Bharat
Daviglus, Martha
Joslin, Charlotte E.
Cai, Jianwen
Guasch-Ferré, Marta
Tobias, Deirdre K.
Rimm, Eric
Ascherio, Alberto
Costenbader, Karen
Karlson, Elizabeth
Mucci, Lorelei
Eliassen, A. Heather
Zeleznik, Oana
Miller, John
Vavvas, Demetrios G.
Kim, Ivana K.
Silva, Rufino
Miller, Joan
Hu, Frank
Willett, Walter
Lasky-Su, Jessica
Kraft, Peter
Richards, J. Brent
MacGregor, Stuart
Husain, Deeba
Liang, Liming
description Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal AMD-associated metabolites. We find limited evidence linking urine metabolites to AMD risk. Our study emphasizes the contribution of plasma metabolites, particularly lipid-related pathways and genes, to AMD risk and uncovers numerous putative causal associations between metabolites and AMD risk. [Display omitted] •Large-scale metabolite genome-wide association studies identify mQTLs in plasma and urine•Two-sample Mendelian randomization analysis uncovers 108 plasma metabolites associated with AMD•AMD-associated metabolites are enriched in lipid-related pathways•Systematic exploration of metabolite connections with AMD subtypes and lipid biomarkers In this study, Han et al. conduct large-scale integrative genetic and metabolomic analysis and discover 108 plasma metabolites associated with advanced age-related macular degeneration. The identified metabolites are enriched in pathways of glycerophospholipid metabolism, lysophospholipid, triradylcglycerols, and long-chain polyunsaturated fatty acids, providing insight into their potential in AMD pathogenesis.
doi_str_mv 10.1016/j.xcrm.2023.101085
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10394104</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2666379123002045</els_id><sourcerecordid>2829426039</sourcerecordid><originalsourceid>FETCH-LOGICAL-c456t-bedc24d0cfc0e09d75af6d07a9735452fd2b760660e53705d8c45a72dd8fde683</originalsourceid><addsrcrecordid>eNp9kc1u1DAUhSMEolXpC7BAWbLJcOMkTiIhIVTxU6kSG1hbd-ybjEf-GWxnBA_BO-OQUpUNK1vH53z3yqcoXtawq6Hmb467HzLYHQPWrAIM3ZPiknHOq6Yf66eP7hfFdYxHAGBdXQ8NPC8umr5phw7gsvh16xLNAZN2czmTo6RlLNGp0lLCvTfersIUvC3tYpKuKB2clpvljzCZRatSYcIy0JnQxPK0pEw8U4bIAzodbUb4UOJMVSCDiXIY5WIwlIrWsesG3r0onk05T9f351Xx7eOHrzefq7svn25v3t9Vsu14qvakJGsVyEkCwaj6DieuoMexb7q2Y5Ni-54D50Bd00OnhpzDnik1TIr40FwV7zbuadnbDCOXAhpxCtpi-Ck8avHvi9MHMfuzqKEZ2xraTHh9Twj--0IxCaujJGPQkV-iYAMbW8azPVvZZpXBxxhoephTg1i7FEexdinWLsXWZQ69erzhQ-Rvc9nwdjNQ_qezpiCi1OQkKR1IJqG8_h__N1udtNc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829426039</pqid></control><display><type>article</type><title>Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Han, Xikun ; Lains, Ines ; Li, Jun ; Li, Jinglun ; Chen, Yiheng ; Yu, Bing ; Qi, Qibin ; Boerwinkle, Eric ; Kaplan, Robert ; Thyagarajan, Bharat ; Daviglus, Martha ; Joslin, Charlotte E. ; Cai, Jianwen ; Guasch-Ferré, Marta ; Tobias, Deirdre K. ; Rimm, Eric ; Ascherio, Alberto ; Costenbader, Karen ; Karlson, Elizabeth ; Mucci, Lorelei ; Eliassen, A. Heather ; Zeleznik, Oana ; Miller, John ; Vavvas, Demetrios G. ; Kim, Ivana K. ; Silva, Rufino ; Miller, Joan ; Hu, Frank ; Willett, Walter ; Lasky-Su, Jessica ; Kraft, Peter ; Richards, J. Brent ; MacGregor, Stuart ; Husain, Deeba ; Liang, Liming</creator><creatorcontrib>Han, Xikun ; Lains, Ines ; Li, Jun ; Li, Jinglun ; Chen, Yiheng ; Yu, Bing ; Qi, Qibin ; Boerwinkle, Eric ; Kaplan, Robert ; Thyagarajan, Bharat ; Daviglus, Martha ; Joslin, Charlotte E. ; Cai, Jianwen ; Guasch-Ferré, Marta ; Tobias, Deirdre K. ; Rimm, Eric ; Ascherio, Alberto ; Costenbader, Karen ; Karlson, Elizabeth ; Mucci, Lorelei ; Eliassen, A. Heather ; Zeleznik, Oana ; Miller, John ; Vavvas, Demetrios G. ; Kim, Ivana K. ; Silva, Rufino ; Miller, Joan ; Hu, Frank ; Willett, Walter ; Lasky-Su, Jessica ; Kraft, Peter ; Richards, J. Brent ; MacGregor, Stuart ; Husain, Deeba ; Liang, Liming</creatorcontrib><description>Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal AMD-associated metabolites. We find limited evidence linking urine metabolites to AMD risk. Our study emphasizes the contribution of plasma metabolites, particularly lipid-related pathways and genes, to AMD risk and uncovers numerous putative causal associations between metabolites and AMD risk. [Display omitted] •Large-scale metabolite genome-wide association studies identify mQTLs in plasma and urine•Two-sample Mendelian randomization analysis uncovers 108 plasma metabolites associated with AMD•AMD-associated metabolites are enriched in lipid-related pathways•Systematic exploration of metabolite connections with AMD subtypes and lipid biomarkers In this study, Han et al. conduct large-scale integrative genetic and metabolomic analysis and discover 108 plasma metabolites associated with advanced age-related macular degeneration. The identified metabolites are enriched in pathways of glycerophospholipid metabolism, lysophospholipid, triradylcglycerols, and long-chain polyunsaturated fatty acids, providing insight into their potential in AMD pathogenesis.</description><identifier>ISSN: 2666-3791</identifier><identifier>EISSN: 2666-3791</identifier><identifier>DOI: 10.1016/j.xcrm.2023.101085</identifier><identifier>PMID: 37348500</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>age-related macular degeneration ; Aged ; AMD ; Bayes Theorem ; Canadian Longitudinal Study of Aging ; CLSA ; genome-wide association studies ; Genome-Wide Association Study ; genomics ; GWASs ; HCHS/SOL ; Health Professionals Follow Up Study ; Hispanic Community Health Study/Study of Latinos ; HPFS ; Humans ; Macular Degeneration - genetics ; Macular Degeneration - metabolism ; Mendelian randomization ; Metabolome - genetics ; Metabolomics ; NHS ; Nurses’ Health Study ; UK Biobank</subject><ispartof>Cell reports. Medicine, 2023-07, Vol.4 (7), p.101085-101085, Article 101085</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-bedc24d0cfc0e09d75af6d07a9735452fd2b760660e53705d8c45a72dd8fde683</citedby><cites>FETCH-LOGICAL-c456t-bedc24d0cfc0e09d75af6d07a9735452fd2b760660e53705d8c45a72dd8fde683</cites><orcidid>0000-0002-3823-7308</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394104/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394104/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27926,27927,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37348500$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Xikun</creatorcontrib><creatorcontrib>Lains, Ines</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Li, Jinglun</creatorcontrib><creatorcontrib>Chen, Yiheng</creatorcontrib><creatorcontrib>Yu, Bing</creatorcontrib><creatorcontrib>Qi, Qibin</creatorcontrib><creatorcontrib>Boerwinkle, Eric</creatorcontrib><creatorcontrib>Kaplan, Robert</creatorcontrib><creatorcontrib>Thyagarajan, Bharat</creatorcontrib><creatorcontrib>Daviglus, Martha</creatorcontrib><creatorcontrib>Joslin, Charlotte E.</creatorcontrib><creatorcontrib>Cai, Jianwen</creatorcontrib><creatorcontrib>Guasch-Ferré, Marta</creatorcontrib><creatorcontrib>Tobias, Deirdre K.</creatorcontrib><creatorcontrib>Rimm, Eric</creatorcontrib><creatorcontrib>Ascherio, Alberto</creatorcontrib><creatorcontrib>Costenbader, Karen</creatorcontrib><creatorcontrib>Karlson, Elizabeth</creatorcontrib><creatorcontrib>Mucci, Lorelei</creatorcontrib><creatorcontrib>Eliassen, A. Heather</creatorcontrib><creatorcontrib>Zeleznik, Oana</creatorcontrib><creatorcontrib>Miller, John</creatorcontrib><creatorcontrib>Vavvas, Demetrios G.</creatorcontrib><creatorcontrib>Kim, Ivana K.</creatorcontrib><creatorcontrib>Silva, Rufino</creatorcontrib><creatorcontrib>Miller, Joan</creatorcontrib><creatorcontrib>Hu, Frank</creatorcontrib><creatorcontrib>Willett, Walter</creatorcontrib><creatorcontrib>Lasky-Su, Jessica</creatorcontrib><creatorcontrib>Kraft, Peter</creatorcontrib><creatorcontrib>Richards, J. Brent</creatorcontrib><creatorcontrib>MacGregor, Stuart</creatorcontrib><creatorcontrib>Husain, Deeba</creatorcontrib><creatorcontrib>Liang, Liming</creatorcontrib><title>Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration</title><title>Cell reports. Medicine</title><addtitle>Cell Rep Med</addtitle><description>Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal AMD-associated metabolites. We find limited evidence linking urine metabolites to AMD risk. Our study emphasizes the contribution of plasma metabolites, particularly lipid-related pathways and genes, to AMD risk and uncovers numerous putative causal associations between metabolites and AMD risk. [Display omitted] •Large-scale metabolite genome-wide association studies identify mQTLs in plasma and urine•Two-sample Mendelian randomization analysis uncovers 108 plasma metabolites associated with AMD•AMD-associated metabolites are enriched in lipid-related pathways•Systematic exploration of metabolite connections with AMD subtypes and lipid biomarkers In this study, Han et al. conduct large-scale integrative genetic and metabolomic analysis and discover 108 plasma metabolites associated with advanced age-related macular degeneration. The identified metabolites are enriched in pathways of glycerophospholipid metabolism, lysophospholipid, triradylcglycerols, and long-chain polyunsaturated fatty acids, providing insight into their potential in AMD pathogenesis.</description><subject>age-related macular degeneration</subject><subject>Aged</subject><subject>AMD</subject><subject>Bayes Theorem</subject><subject>Canadian Longitudinal Study of Aging</subject><subject>CLSA</subject><subject>genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>genomics</subject><subject>GWASs</subject><subject>HCHS/SOL</subject><subject>Health Professionals Follow Up Study</subject><subject>Hispanic Community Health Study/Study of Latinos</subject><subject>HPFS</subject><subject>Humans</subject><subject>Macular Degeneration - genetics</subject><subject>Macular Degeneration - metabolism</subject><subject>Mendelian randomization</subject><subject>Metabolome - genetics</subject><subject>Metabolomics</subject><subject>NHS</subject><subject>Nurses’ Health Study</subject><subject>UK Biobank</subject><issn>2666-3791</issn><issn>2666-3791</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAUhSMEolXpC7BAWbLJcOMkTiIhIVTxU6kSG1hbd-ybjEf-GWxnBA_BO-OQUpUNK1vH53z3yqcoXtawq6Hmb467HzLYHQPWrAIM3ZPiknHOq6Yf66eP7hfFdYxHAGBdXQ8NPC8umr5phw7gsvh16xLNAZN2czmTo6RlLNGp0lLCvTfersIUvC3tYpKuKB2clpvljzCZRatSYcIy0JnQxPK0pEw8U4bIAzodbUb4UOJMVSCDiXIY5WIwlIrWsesG3r0onk05T9f351Xx7eOHrzefq7svn25v3t9Vsu14qvakJGsVyEkCwaj6DieuoMexb7q2Y5Ni-54D50Bd00OnhpzDnik1TIr40FwV7zbuadnbDCOXAhpxCtpi-Ck8avHvi9MHMfuzqKEZ2xraTHh9Twj--0IxCaujJGPQkV-iYAMbW8azPVvZZpXBxxhoephTg1i7FEexdinWLsXWZQ69erzhQ-Rvc9nwdjNQ_qezpiCi1OQkKR1IJqG8_h__N1udtNc</recordid><startdate>20230718</startdate><enddate>20230718</enddate><creator>Han, Xikun</creator><creator>Lains, Ines</creator><creator>Li, Jun</creator><creator>Li, Jinglun</creator><creator>Chen, Yiheng</creator><creator>Yu, Bing</creator><creator>Qi, Qibin</creator><creator>Boerwinkle, Eric</creator><creator>Kaplan, Robert</creator><creator>Thyagarajan, Bharat</creator><creator>Daviglus, Martha</creator><creator>Joslin, Charlotte E.</creator><creator>Cai, Jianwen</creator><creator>Guasch-Ferré, Marta</creator><creator>Tobias, Deirdre K.</creator><creator>Rimm, Eric</creator><creator>Ascherio, Alberto</creator><creator>Costenbader, Karen</creator><creator>Karlson, Elizabeth</creator><creator>Mucci, Lorelei</creator><creator>Eliassen, A. Heather</creator><creator>Zeleznik, Oana</creator><creator>Miller, John</creator><creator>Vavvas, Demetrios G.</creator><creator>Kim, Ivana K.</creator><creator>Silva, Rufino</creator><creator>Miller, Joan</creator><creator>Hu, Frank</creator><creator>Willett, Walter</creator><creator>Lasky-Su, Jessica</creator><creator>Kraft, Peter</creator><creator>Richards, J. Brent</creator><creator>MacGregor, Stuart</creator><creator>Husain, Deeba</creator><creator>Liang, Liming</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3823-7308</orcidid></search><sort><creationdate>20230718</creationdate><title>Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration</title><author>Han, Xikun ; Lains, Ines ; Li, Jun ; Li, Jinglun ; Chen, Yiheng ; Yu, Bing ; Qi, Qibin ; Boerwinkle, Eric ; Kaplan, Robert ; Thyagarajan, Bharat ; Daviglus, Martha ; Joslin, Charlotte E. ; Cai, Jianwen ; Guasch-Ferré, Marta ; Tobias, Deirdre K. ; Rimm, Eric ; Ascherio, Alberto ; Costenbader, Karen ; Karlson, Elizabeth ; Mucci, Lorelei ; Eliassen, A. Heather ; Zeleznik, Oana ; Miller, John ; Vavvas, Demetrios G. ; Kim, Ivana K. ; Silva, Rufino ; Miller, Joan ; Hu, Frank ; Willett, Walter ; Lasky-Su, Jessica ; Kraft, Peter ; Richards, J. Brent ; MacGregor, Stuart ; Husain, Deeba ; Liang, Liming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-bedc24d0cfc0e09d75af6d07a9735452fd2b760660e53705d8c45a72dd8fde683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>age-related macular degeneration</topic><topic>Aged</topic><topic>AMD</topic><topic>Bayes Theorem</topic><topic>Canadian Longitudinal Study of Aging</topic><topic>CLSA</topic><topic>genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>genomics</topic><topic>GWASs</topic><topic>HCHS/SOL</topic><topic>Health Professionals Follow Up Study</topic><topic>Hispanic Community Health Study/Study of Latinos</topic><topic>HPFS</topic><topic>Humans</topic><topic>Macular Degeneration - genetics</topic><topic>Macular Degeneration - metabolism</topic><topic>Mendelian randomization</topic><topic>Metabolome - genetics</topic><topic>Metabolomics</topic><topic>NHS</topic><topic>Nurses’ Health Study</topic><topic>UK Biobank</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Xikun</creatorcontrib><creatorcontrib>Lains, Ines</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Li, Jinglun</creatorcontrib><creatorcontrib>Chen, Yiheng</creatorcontrib><creatorcontrib>Yu, Bing</creatorcontrib><creatorcontrib>Qi, Qibin</creatorcontrib><creatorcontrib>Boerwinkle, Eric</creatorcontrib><creatorcontrib>Kaplan, Robert</creatorcontrib><creatorcontrib>Thyagarajan, Bharat</creatorcontrib><creatorcontrib>Daviglus, Martha</creatorcontrib><creatorcontrib>Joslin, Charlotte E.</creatorcontrib><creatorcontrib>Cai, Jianwen</creatorcontrib><creatorcontrib>Guasch-Ferré, Marta</creatorcontrib><creatorcontrib>Tobias, Deirdre K.</creatorcontrib><creatorcontrib>Rimm, Eric</creatorcontrib><creatorcontrib>Ascherio, Alberto</creatorcontrib><creatorcontrib>Costenbader, Karen</creatorcontrib><creatorcontrib>Karlson, Elizabeth</creatorcontrib><creatorcontrib>Mucci, Lorelei</creatorcontrib><creatorcontrib>Eliassen, A. Heather</creatorcontrib><creatorcontrib>Zeleznik, Oana</creatorcontrib><creatorcontrib>Miller, John</creatorcontrib><creatorcontrib>Vavvas, Demetrios G.</creatorcontrib><creatorcontrib>Kim, Ivana K.</creatorcontrib><creatorcontrib>Silva, Rufino</creatorcontrib><creatorcontrib>Miller, Joan</creatorcontrib><creatorcontrib>Hu, Frank</creatorcontrib><creatorcontrib>Willett, Walter</creatorcontrib><creatorcontrib>Lasky-Su, Jessica</creatorcontrib><creatorcontrib>Kraft, Peter</creatorcontrib><creatorcontrib>Richards, J. Brent</creatorcontrib><creatorcontrib>MacGregor, Stuart</creatorcontrib><creatorcontrib>Husain, Deeba</creatorcontrib><creatorcontrib>Liang, Liming</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cell reports. Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Xikun</au><au>Lains, Ines</au><au>Li, Jun</au><au>Li, Jinglun</au><au>Chen, Yiheng</au><au>Yu, Bing</au><au>Qi, Qibin</au><au>Boerwinkle, Eric</au><au>Kaplan, Robert</au><au>Thyagarajan, Bharat</au><au>Daviglus, Martha</au><au>Joslin, Charlotte E.</au><au>Cai, Jianwen</au><au>Guasch-Ferré, Marta</au><au>Tobias, Deirdre K.</au><au>Rimm, Eric</au><au>Ascherio, Alberto</au><au>Costenbader, Karen</au><au>Karlson, Elizabeth</au><au>Mucci, Lorelei</au><au>Eliassen, A. Heather</au><au>Zeleznik, Oana</au><au>Miller, John</au><au>Vavvas, Demetrios G.</au><au>Kim, Ivana K.</au><au>Silva, Rufino</au><au>Miller, Joan</au><au>Hu, Frank</au><au>Willett, Walter</au><au>Lasky-Su, Jessica</au><au>Kraft, Peter</au><au>Richards, J. Brent</au><au>MacGregor, Stuart</au><au>Husain, Deeba</au><au>Liang, Liming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration</atitle><jtitle>Cell reports. Medicine</jtitle><addtitle>Cell Rep Med</addtitle><date>2023-07-18</date><risdate>2023</risdate><volume>4</volume><issue>7</issue><spage>101085</spage><epage>101085</epage><pages>101085-101085</pages><artnum>101085</artnum><issn>2666-3791</issn><eissn>2666-3791</eissn><abstract>Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal AMD-associated metabolites. We find limited evidence linking urine metabolites to AMD risk. Our study emphasizes the contribution of plasma metabolites, particularly lipid-related pathways and genes, to AMD risk and uncovers numerous putative causal associations between metabolites and AMD risk. [Display omitted] •Large-scale metabolite genome-wide association studies identify mQTLs in plasma and urine•Two-sample Mendelian randomization analysis uncovers 108 plasma metabolites associated with AMD•AMD-associated metabolites are enriched in lipid-related pathways•Systematic exploration of metabolite connections with AMD subtypes and lipid biomarkers In this study, Han et al. conduct large-scale integrative genetic and metabolomic analysis and discover 108 plasma metabolites associated with advanced age-related macular degeneration. The identified metabolites are enriched in pathways of glycerophospholipid metabolism, lysophospholipid, triradylcglycerols, and long-chain polyunsaturated fatty acids, providing insight into their potential in AMD pathogenesis.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37348500</pmid><doi>10.1016/j.xcrm.2023.101085</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3823-7308</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2666-3791
ispartof Cell reports. Medicine, 2023-07, Vol.4 (7), p.101085-101085, Article 101085
issn 2666-3791
2666-3791
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10394104
source MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects age-related macular degeneration
Aged
AMD
Bayes Theorem
Canadian Longitudinal Study of Aging
CLSA
genome-wide association studies
Genome-Wide Association Study
genomics
GWASs
HCHS/SOL
Health Professionals Follow Up Study
Hispanic Community Health Study/Study of Latinos
HPFS
Humans
Macular Degeneration - genetics
Macular Degeneration - metabolism
Mendelian randomization
Metabolome - genetics
Metabolomics
NHS
Nurses’ Health Study
UK Biobank
title Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T03%3A37%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrating%20genetics%20and%20metabolomics%20from%20multi-ethnic%20and%20multi-fluid%20data%20reveals%20putative%20mechanisms%20for%20age-related%20macular%20degeneration&rft.jtitle=Cell%20reports.%20Medicine&rft.au=Han,%20Xikun&rft.date=2023-07-18&rft.volume=4&rft.issue=7&rft.spage=101085&rft.epage=101085&rft.pages=101085-101085&rft.artnum=101085&rft.issn=2666-3791&rft.eissn=2666-3791&rft_id=info:doi/10.1016/j.xcrm.2023.101085&rft_dat=%3Cproquest_pubme%3E2829426039%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2829426039&rft_id=info:pmid/37348500&rft_els_id=S2666379123002045&rfr_iscdi=true