MétaCan
Menu
Back to cohort
Record W4292607816 · doi:10.1038/s41467-022-32275-3

Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals

2022· article· en· W4292607816 on OpenAlexaff
Usman A. Tahir, Daniel H. Katz, Julián Ávila-Pacheco, Alexander G. Bick, Akhil Pampana, Jeremy Robbins, Zhi Yu, Zsu‐Zsu Chen, Mark D. Benson, Daniel E. Cruz, Debby Ngo, Shuliang Deng, Xu Shi, Shuning Zheng, Aaron S. Eisman, Laurie Farrell, Michael E. Hall, Adolfo Correa, Russell P. Tracy, Peter Durda, Kent D. Taylor, Ching‐Ti Liu, W. Craig Johnson, Xiuqing Guo, Jie Yao, Yii‐Der Ida Chen, Ani Manichaikul, Frederick L. Ruberg, William S. Blaner, Deepti Jain, Namiko Abe, François Aguet, Christine M. Albert, Laura Almasy, Álvaro Alonso, Seth A. Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum‐Bowden, Kristin Ardlie, Dan E. Arking, Donna K. Arnett, Allison E. Ashley‐Koch, Stella Aslibekyan, Tim Assimes, Paul L. Auer, Dimitrios Avramopoulos, Najib Ayas, Adithya Balasubramanian, John Barnard, Kathleen C. Barnes, R. Graham Barr, Emily Barron‐Casella, Lucas Barwick, Terri H. Beaty, Gerald J. Beck, Diane M. Becker, Lewis C. Becker, Rebecca Beer, Amber L. Beitelshees, Emelia J. Benjamin, Takis Benos, Marcos Bezerra, Larry Bielak, Joshua C. Bis, Thomas W. Blackwell, John Blangero, Nathan R. Blue, Eric Boerwinkle, Donald W. Bowden, Russell P. Bowler, Jennifer A. Brody, Ulrich Broeckel, Jai Broome, Deborah Brown, Karen Bunting, Esteban G. Burchard, Carlos D. Bustamante, Erin Buth, Brian E. Cade, Jonathan Cardwell, Vincent J. Carey, Julie Carrier, April P. Carson, Cara L. Carty, Richard Casaburi, Juan P. Romero, James F. Casella, Peter J. Castaldi, Mark Chaffin, Christy Chang, Yi‐Cheng Chang, Daniel I. Chasman, Sameer Chavan, Bo‐Juen Chen, Wei‐Min Chen, Michael Cho, Seung Hoan Choi, Lee‐Ming Chuang, Mina K. Chung, Ren‐Hua Chung, Suzy Comhair, Matthew P. Conomos, Elaine Cornell, Carolyn Crandall, James D. Crapo, L. Adrienne Cupples, Joanne E. Curran, Jeffrey L. Curtis, Brian Custer, Coleen Damcott, Dawood Darbar, Sean P. David, Colleen Davis, Michelle Daya, Mariza de Andrade, Lisa de las Fuentes, Paul S. de Vries, Michael R. DeBaun, Ranjan Deka, Dawn L. DeMeo, Scott E. Devine, Huyen Dinh, HarshaVardhan Doddapaneni, Qing Duan, Shannon Dugan‐Perez, Ravi Duggirala, Susan K. Dutcher, Charles B. Eaton, Lynette Ekunwe, Adel Boueiz, Patrick T. Ellinor, Leslie S. Emery, Serpil C. Erzurum, Charles R. Farber, Jesse Farek, Tasha E. Fingerlin, Matthew Flickinger, Myriam Fornage, Nora Franceschini, Chris Frazar, Mao Fu, Stephanie M. Fullerton, Lucinda A. Fulton, Stacey Gabriel, Weiniu Gan, Shanshan Gao, Yan Gao, Margery Gass, Heather Geiger, Bruce D. Gelb, Mark W. Geraci, Søren Germer, Auyon Ghosh, Richard A. Gibbs, Chris Gignoux, Mark T. Gladwin, David C. Glahn, Stephanie M. Gogarten, Da‐Wei Gong, Harald H.H. Göring, Sharon Graw, Kathryn J. Gray, Daniel Grine, Colin Gross, C. Charles Gu, Yue Guan, Namrata Gupta, Jeff Haessler, Yi Han, Patrick J. Hanly, Daniel Harris, Nicola L. Hawley, Jiang He, Ben Heavner, Susan R. Heckbert, Ryan D. Hernandez, David M. Herrington, Craig P. Hersh, Bertha Hidalgo, James E. Hixson, Brian D. Hobbs, John E. Hokanson, Elliott Hong, Karin F. Hoth, Chao A. Hsiung, Jianhong Hu, Yi‐Jen Hung, Haley Huston, Chii Min Hwu, Marguerite R. Irvin, Rebecca D. Jackson, Cashell E. Jaquish, Jill M. Johnsen, Andrew M. Johnson, Rich Johnston, Kimberly Jones, Hyun Min Kang, Robert C. Kaplan, Sharon L. R. Kardia, Shannon Kelly, Eimear E. Kenny, Michael D. Kessler, Alyna Khan, Ziad Khan, Wonji Kim, John Kimoff, Gregory L. Kinney, Barbara A. Konkle, Charles Kooperberg, Holly Kramer, Christoph Lange, Ethan M. Lange, Leslie A. Lange, Cathy C. Laurie, Cecelia Laurie, Meryl S. LeBoff, Jiwon Lee, Sandra Lee, Wen‐Jane Lee, Jonathon LeFaive, David Levine, Daniel Levy, Joshua P. Lewis, Xiaohui Li, Yun Li, Henry J. Lin, Honghuang Lin, Xihong Lin, Simin Liu, Yu Liu, Ruth J. F. Loos, Steven A. Lubitz, Kathryn L. Lunetta, James Luo, Ulysses J. Magalang, Michael C. Mahaney, Barry J. Make, Alisa K. Manning, JoAnn E. Manson, Lisa W. Martin, Melissa Marton, Susan Mathai, Rasika A. Mathias, Susanne May, Patrick F. McArdle, Merry‐Lynn McDonald, Sean McFarland, Stephen T. McGarvey, Daniel McGoldrick, Caitlin McHugh, Becky McNeil, Hao Mei, James B. Meigs, Vipin K. Menon, Luisa Mestroni, Ginger Metcalf, Deborah A. Meyers, Emmanuel Mignot, Julie Mikulla, Yuan‐I Min, Mollie Minear, Ryan L. Minster, Braxton D. Mitchell, Matt Moll, Zeineen Momin, May E. Montasser, Courtney G. Montgomery, Donna M. Muzny, Josyf C. Mychaleckyj, Girish N. Nadkarni, Rakhi P. Naik, Take Naseri, Sergeï Nekhai, Sarah C. Nelson, Bonnie Neltner, Caitlin Nessner, Deborah A. Nickerson, Osuji Nkechinyere, Kari E. North, Jeff O’Connell, Tim O’Connor, Heather M. Ochs‐Balcom, Geoffrey Okwuonu, Allan I Pack, David T. Paik, James S. Pankow, George Papanicolaou, Gina M. Peloso, Juan M. Peralta, Marco Perez, James A. Perry, Ulrike Peters, Patricia A. Peyser, Lawrence S. Phillips, Jacob Pleiness, Toni I. Pollin, Wendy S. Post, Julia Powers Becker, Meher Preethi Boorgula, Michael Preuß, Bruce M. Psaty, Pankaj Qasba, Dandi Qiao, Zhaohui Qin, Nicholas Rafaels, Laura M. Raffield, Mahitha Rajendran, Ramachandran S. Vasan, D. C. Rao, Laura J. Rasmussen‐Torvik, Aakrosh Ratan, Susan Redline, Robert D. Reed, Catherine Reeves, Elizabeth A. Regan, Alex P. Reiner, M.S. Reupena, Kenneth Rice, Rébecca Robillard, Nicolas Robine, Dan Roden, Carolina Roselli, Ingo Ruczinski, Alexi Runnels, Pamela Russell, Sarah Ruuska, Éster Cerdeira Sabino, Danish Saleheen, Shabnam Salimi, Sejal Salvi, Steven L. Salzberg, Kevin Sandow, Vijay G. Sankaran, Jireh Santibanez, Karen Schwander, David Schwartz, Frank C. Sciurba, Christine E. Seidman, Jonathan G. Seidman, Frédéric Sérià ̈s, Vivien Sheehan, Stephanie L. Sherman, Amol C. Shetty, Aniket Shetty, Wayne Hui-Heng Sheu, M. Benjamin Shoemaker, Brian Silver, Edwin K. Silverman, Robert Skomro, Albert V. Smith, Jennifer E. Smith, J. G. Smith, Nicholas H. Smith, Tanja Smith, Sylvia Smoller, Beverly M. Snively, M Snyder, Tamar Sofer, Nona Sotoodehnia, Adrienne M. Stilp, Garrett Storm, Elizabeth A. Streeten, Jessica Lasky‐Su, Jody Sylvia, Adam A. Szpiro, Daniel Taliun, Hua Tang, Margaret A. Taub, Matthew R.G. Taylor, Simeon I. Taylor, Marilyn J. Telen, Timothy A. Thornton, Machiko Threlkeld, Lesley Tinker, David Tirschwell, Sarah A. Tishkoff, Hemant K. Tiwari, Catherine Tong, Michael Y. Tsai, Dhananjay Vaidya, David Van Den Berg, Peter VandeHaar, Scott Vrieze, Tarik Walker, Robert B. Wallace, Avram Walts, Fei Fei Wang, Heming Wang, Jiongming Wang, Karol Watson, Jennifer Watt, Daniel E. Weeks, Joshua Weinstock, Bruce S. Weir, Scott T. Weiss, Lu‐Chen Weng, Jennifer Wessel, Cristen J. Willer, Kayleen Williams, L. Keoki Williams, Carla Wilson, Lara Winterkorn, Quenna Wong, Joseph Wu, Huichun Xu, Lisa R. Yanek, Ivana V. Yang, Ketian Yu, Seyedeh M. Zekavat, Yingze Zhang, Snow Xueyan Zhao, Wei Zhao, Xiaofeng Zhu, Elad Ziv, Michael C. Zody, Sebastian Zoellner, Claude Bouchard, Mark A. Sarzynski, Stephen S. Rich, Jerome I. Rotter, Thomas J. Wang, James G. Wilson, Clary B. Clish, Pradeep Natarajan, Robert E. Gerszten

Bibliographic record

VenueNature Communications · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversity of SaskatchewanUniversité de MontréalUniversité LavalUniversity of OttawaMcGill UniversityUniversity of Calgary
FundersNational Institute on Minority Health and Health DisparitiesNational Institute of Environmental Health SciencesNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismMississippi State Department of HealthHarvard CatalystFondation LeducqBroad InstituteNational Institute of Diabetes and Digestive and Kidney DiseasesJackson State UniversityNational Institute of General Medical SciencesNational Institute of Nursing ResearchMassachusetts General HospitalU.S. Department of Veterans AffairsNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMetabolomeMetaboliteMetabolomicsBiologyGeneticsComputational biologyGenomicsGenome-wide association studyGenotypingDiseaseGenomeBioinformaticsGeneSingle-nucleotide polymorphismMedicineGenotypeInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Integrating genetic information with metabolomics has provided new insights into genes affecting human metabolism. However, gene-metabolite integration has been primarily studied in individuals of European Ancestry, limiting the opportunity to leverage genomic diversity for discovery. In addition, these analyses have principally involved known metabolites, with the majority of the profiled peaks left unannotated. Here, we perform a whole genome association study of 2,291 metabolite peaks (known and unknown features) in 2,466 Black individuals from the Jackson Heart Study. We identify 519 locus-metabolite associations for 427 metabolite peaks and validate our findings in two multi-ethnic cohorts. A significant proportion of these associations are in ancestry specific alleles including findings in APOE, TTR and CD36. We leverage tandem mass spectrometry to annotate unknown metabolites, providing new insight into hereditary diseases including transthyretin amyloidosis and sickle cell disease. Our integrative omics approach leverages genomic diversity to provide novel insights into diverse cardiometabolic diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.295
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations61
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNature CommunicationsSame topicGenetic Associations and EpidemiologyFrench-language works237,207