IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33510-7.html
   My bibliography  Save this article

Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Author

Listed:
  • Margaret Sunitha Selvaraj

    (Massachusetts General Hospital
    Broad Institute of Harvard and MIT
    Harvard Medical School)

  • Xihao Li

    (Harvard T.H. Chan School of Public Health)

  • Zilin Li

    (Harvard T.H. Chan School of Public Health)

  • Akhil Pampana

    (Broad Institute of Harvard and MIT)

  • David Y. Zhang

    (University of Pennsylvania
    University of Pennsylvania)

  • Joseph Park

    (University of Pennsylvania
    University of Pennsylvania)

  • Stella Aslibekyan

    (University of Alabama at Birmingham School of Public Health)

  • Joshua C. Bis

    (University of Washington)

  • Jennifer A. Brody

    (University of Washington)

  • Brian E. Cade

    (Harvard Medical School)

  • Lee-Ming Chuang

    (National Taiwan University Hospital)

  • Ren-Hua Chung

    (National Health Research Institutes)

  • Joanne E. Curran

    (University of Texas Rio Grande Valley School of Medicine)

  • Lisa las Fuentes

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Paul S. Vries

    (The University of Texas Health Science Center at Houston)

  • Ravindranath Duggirala

    (University of Texas Rio Grande Valley School of Medicine)

  • Barry I. Freedman

    (Wake Forest School of Medicine)

  • Mariaelisa Graff

    (UNC Chapel Hill)

  • Xiuqing Guo

    (The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center)

  • Nancy Heard-Costa

    (Boston university School of Medicine)

  • Bertha Hidalgo

    (University of Alabama at Birmingham School of Public Health)

  • Chii-Min Hwu

    (Taipei Veterans General Hospital)

  • Marguerite R. Irvin

    (University of Alabama at Birmingham School of Public Health)

  • Tanika N. Kelly

    (Tulane University School of Public Health and Tropical Medicine
    Tulane University Translational Science Institute)

  • Brian G. Kral

    (Johns Hopkins University School of Medicine)

  • Leslie Lange

    (University of Colorado Anschutz Medical Campus)

  • Xiaohui Li

    (The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center)

  • Martin Lisa

    (George Washington University)

  • Steven A. Lubitz

    (Massachusetts General Hospital
    The Broad Institute of MIT and Harvard)

  • Ani W. Manichaikul

    (University of Virginia)

  • Preuss Michael

    (Icahn School of Medicine at Mount Sinai)

  • May E. Montasser

    (University of Maryland School of Medicine)

  • Alanna C. Morrison

    (The University of Texas Health Science Center at Houston)

  • Take Naseri

    (Government of Samoa)

  • Jeffrey R. O’Connell

    (University of Maryland School of Medicine)

  • Nicholette D. Palmer

    (Wake Forest School of Medicine)

  • Patricia A. Peyser

    (University of Michigan)

  • Muagututia S. Reupena

    (Lutia i Puava ae Mapu i Fagalele)

  • Jennifer A. Smith

    (University of Michigan)

  • Xiao Sun

    (Tulane University School of Public Health and Tropical Medicine)

  • Kent D. Taylor

    (The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center)

  • Russell P. Tracy

    (Larner College of Medicine at the University of Vermont)

  • Michael Y. Tsai

    (University of Minneosta)

  • Zhe Wang

    (Icahn School of Medicine at Mount Sinai)

  • Yuxuan Wang

    (Boston University School of Public Health)

  • Wei Bao

    (University of Science and Technology of China)

  • John T. Wilkins

    (Northwestern University Feinberg School of Medicine)

  • Lisa R. Yanek

    (Johns Hopkins University School of Medicine)

  • Wei Zhao

    (University of Michigan)

  • Donna K. Arnett

    (University of Kentucky College of Public Health)

  • John Blangero

    (University of Texas Rio Grande Valley School of Medicine)

  • Eric Boerwinkle

    (The University of Texas Health Science Center at Houston)

  • Donald W. Bowden

    (Wake Forest School of Medicine)

  • Yii-Der Ida Chen

    (Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center)

  • Adolfo Correa

    (University of Mississippi Medical Center)

  • L. Adrienne Cupples

    (Boston University School of Public Health)

  • Susan K. Dutcher

    (Washington University School of Medicine)

  • Patrick T. Ellinor

    (Massachusetts General Hospital
    The Broad Institute of MIT and Harvard)

  • Myriam Fornage

    (The University of Texas Health Science Center at Houston)

  • Stacey Gabriel

    (Broad Institute)

  • Soren Germer

    (New York Genome Center)

  • Richard Gibbs

    (Baylor College of Medicine Human Genome Sequencing Center)

  • Jiang He

    (Tulane University School of Public Health and Tropical Medicine
    Tulane University Translational Science Institute)

  • Robert C. Kaplan

    (Albert Einstein College of Medicine
    Fred Hutchinson Cancer Research Center)

  • Sharon L. R. Kardia

    (University of Michigan)

  • Ryan Kim

    (Psomagen, Inc. (formerly Macrogen USA))

  • Charles Kooperberg

    (Fred Hutchinson Cancer Research Center)

  • Ruth J. F. Loos

    (Icahn School of Medicine at Mount Sinai
    University of Copenhagen)

  • Karine A Viaud-Martinez

    (Illumina. Inc)

  • Rasika A. Mathias

    (Johns Hopkins University School of Medicine)

  • Stephen T. McGarvey

    (Brown University)

  • Braxton D. Mitchell

    (University of Maryland School of Medicine
    Baltimore Veterans Administration Medical Center)

  • Deborah Nickerson

    (University of Washington, Department of Genome Sciences)

  • Kari E. North

    (UNC Chapel Hill)

  • Bruce M. Psaty

    (University of Washington
    University of Washington
    University of Washington)

  • Susan Redline

    (Harvard Medical School)

  • Alexander P. Reiner

    (Fred Hutchinson Cancer Research Center
    University of Washington)

  • Ramachandran S. Vasan

    (Boston University School of Medicine
    Boston University School of Public Health
    Framingham Heart Study)

  • Stephen S. Rich

    (University of Virginia)

  • Cristen Willer

    (University of Michigan, Internal Medicine)

  • Jerome I. Rotter

    (The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center)

  • Daniel J. Rader

    (University of Pennsylvania
    University of Pennsylvania
    University of Pennsylvania)

  • Xihong Lin

    (Broad Institute of Harvard and MIT
    Harvard T.H. Chan School of Public Health
    Harvard University)

  • Gina M. Peloso

    (Boston University School of Public Health)

  • Pradeep Natarajan

    (Massachusetts General Hospital
    Broad Institute of Harvard and MIT
    Harvard Medical School)

Abstract

Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid genes. Notably, we observe rare LDLR intronic variants associated with markedly increased LDL-C, similar to rare LDLR exonic variants. In conclusion, we conducted a systematic whole genome scan for blood lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.

Suggested Citation

  • Margaret Sunitha Selvaraj & Xihao Li & Zilin Li & Akhil Pampana & David Y. Zhang & Joseph Park & Stella Aslibekyan & Joshua C. Bis & Jennifer A. Brody & Brian E. Cade & Lee-Ming Chuang & Ren-Hua Chung, 2022. "Whole genome sequence analysis of blood lipid levels in >66,000 individuals," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33510-7
    DOI: 10.1038/s41467-022-33510-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33510-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-33510-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pradeep Natarajan & Gina M. Peloso & Seyedeh Maryam Zekavat & May Montasser & Andrea Ganna & Mark Chaffin & Amit V. Khera & Wei Zhou & Jonathan M. Bloom & Jesse M. Engreitz & Jason Ernst & Jeffrey R. , 2018. "Deep-coverage whole genome sequences and blood lipids among 16,324 individuals," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Dimitrios Vitsios & Ryan S. Dhindsa & Lawrence Middleton & Ayal B. Gussow & Slavé Petrovski, 2021. "Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    3. Jonas B. Nielsen & Oren Rom & Ida Surakka & Sarah E. Graham & Wei Zhou & Tanmoy Roychowdhury & Lars G. Fritsche & Sarah A. Gagliano Taliun & Carlo Sidore & Yuhao Liu & Maiken E. Gabrielsen & Anne Heid, 2020. "Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    4. Yao Hu & Mariaelisa Graff & Jeffrey Haessler & Steven Buyske & Stephanie A Bien & Ran Tao & Heather M Highland & Katherine K Nishimura & Niha Zubair & Yingchang Lu & Marie Verbanck & Austin T Hilliard, 2020. "Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study," PLOS Genetics, Public Library of Science, vol. 16(3), pages 1-19, March.
    5. Bjarni V. Halldorsson & Hannes P. Eggertsson & Kristjan H. S. Moore & Hannes Hauswedell & Ogmundur Eiriksson & Magnus O. Ulfarsson & Gunnar Palsson & Marteinn T. Hardarson & Asmundur Oddsson & Brynjar, 2022. "The sequences of 150,119 genomes in the UK Biobank," Nature, Nature, vol. 607(7920), pages 732-740, July.
    6. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    7. Laura S. Kremer & Daniel M. Bader & Christian Mertes & Robert Kopajtich & Garwin Pichler & Arcangela Iuso & Tobias B. Haack & Elisabeth Graf & Thomas Schwarzmayr & Caterina Terrile & Eliška Koňaříková, 2017. "Genetic diagnosis of Mendelian disorders via RNA sequencing," Nature Communications, Nature, vol. 8(1), pages 1-11, August.
    8. Teri A. Manolio & Francis S. Collins & Nancy J. Cox & David B. Goldstein & Lucia A. Hindorff & David J. Hunter & Mark I. McCarthy & Erin M. Ramos & Lon R. Cardon & Aravinda Chakravarti & Judy H. Cho &, 2009. "Finding the missing heritability of complex diseases," Nature, Nature, vol. 461(7265), pages 747-753, October.
    9. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    10. Danish Saleheen & Pradeep Natarajan & Irina M. Armean & Wei Zhao & Asif Rasheed & Sumeet A. Khetarpal & Hong-Hee Won & Konrad J. Karczewski & Anne H. O’Donnell-Luria & Kaitlin E. Samocha & Benjamin We, 2017. "Human knockouts and phenotypic analysis in a cohort with a high rate of consanguinity," Nature, Nature, vol. 544(7649), pages 235-239, April.
    11. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    12. Pradeep Natarajan & Akhil Pampana & Sarah E. Graham & Sanni E. Ruotsalainen & James A. Perry & Paul S. Vries & Jai G. Broome & James P. Pirruccello & Michael C. Honigberg & Krishna Aragam & Brooke Wol, 2021. "Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ozvan Bocher & Cristen J. Willer & Eleftheria Zeggini, 2023. "Unravelling the genetic architecture of human complex traits through whole genome sequencing," Nature Communications, Nature, vol. 14(1), pages 1-4, December.
    2. Nicole Deflaux & Margaret Sunitha Selvaraj & Henry Robert Condon & Kelsey Mayo & Sara Haidermota & Melissa A. Basford & Chris Lunt & Anthony A. Philippakis & Dan M. Roden & Joshua C. Denny & Anjene Mu, 2023. "Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xingjie Hao & Zhonghe Shao & Ning Zhang & Minghui Jiang & Xi Cao & Si Li & Yunlong Guan & Chaolong Wang, 2023. "Integrative genome-wide analyses identify novel loci associated with kidney stones and provide insights into its genetic architecture," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Seppe Goovaerts & Hanne Hoskens & Ryan J. Eller & Noah Herrick & Anthony M. Musolf & Cristina M. Justice & Meng Yuan & Sahin Naqvi & Myoung Keun Lee & Dirk Vandermeulen & Heather L. Szabo-Rogers & Pau, 2023. "Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    3. Alexander T. Williams & Jing Chen & Kayesha Coley & Chiara Batini & Abril Izquierdo & Richard Packer & Erik Abner & Stavroula Kanoni & David J. Shepherd & Robert C. Free & Edward J. Hollox & Nigel J. , 2023. "Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Arianna Landini & Irena Trbojević-Akmačić & Pau Navarro & Yakov A. Tsepilov & Sodbo Z. Sharapov & Frano Vučković & Ozren Polašek & Caroline Hayward & Tea Petrović & Marija Vilaj & Yurii S. Aulchenko &, 2022. "Genetic regulation of post-translational modification of two distinct proteins," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Eeva Sliz & Jaakko S. Tyrmi & Nilufer Rahmioglu & Krina T. Zondervan & Christian M. Becker & Outi Uimari & Johannes Kettunen, 2023. "Evidence of a causal effect of genetic tendency to gain muscle mass on uterine leiomyomata," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    7. Young Jin Kim & Sanghoon Moon & Mi Yeong Hwang & Sohee Han & Hye-Mi Jang & Jinhwa Kong & Dong Mun Shin & Kyungheon Yoon & Sung Min Kim & Jong-Eun Lee & Anubha Mahajan & Hyun-Young Park & Mark I. McCar, 2022. "The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Diptavo Dutta & Yuan He & Ashis Saha & Marios Arvanitis & Alexis Battle & Nilanjan Chatterjee, 2022. "Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    9. William R. Reay & Michael P. Geaghan & Murray J. Cairns, 2022. "The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Sylvia Hartmann & Summaira Yasmeen & Benjamin M. Jacobs & Spiros Denaxas & Munir Pirmohamed & Eric R. Gamazon & Mark J. Caulfield & Harry Hemingway & Maik Pietzner & Claudia Langenberg, 2023. "ADRA2A and IRX1 are putative risk genes for Raynaud’s phenomenon," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Nicole Deflaux & Margaret Sunitha Selvaraj & Henry Robert Condon & Kelsey Mayo & Sara Haidermota & Melissa A. Basford & Chris Lunt & Anthony A. Philippakis & Dan M. Roden & Joshua C. Denny & Anjene Mu, 2023. "Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    12. Isabelle Austin-Zimmerman & Daniel F. Levey & Olga Giannakopoulou & Joseph D. Deak & Marco Galimberti & Keyrun Adhikari & Hang Zhou & Spiros Denaxas & Haritz Irizar & Karoline Kuchenbaecker & Andrew M, 2023. "Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    13. Magdalena Zimoń & Yunfeng Huang & Anthi Trasta & Aliaksandr Halavatyi & Jimmy Z. Liu & Chia-Yen Chen & Peter Blattmann & Bernd Klaus & Christopher D. Whelan & David Sexton & Sally John & Wolfgang Hube, 2021. "Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    14. Lynne Krohn & Karl Heilbron & Cornelis Blauwendraat & Regina H. Reynolds & Eric Yu & Konstantin Senkevich & Uladzislau Rudakou & Mehrdad A. Estiar & Emil K. Gustavsson & Kajsa Brolin & Jennifer A. Rus, 2022. "Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    15. Sophie A. Riesmeijer & Zoha Kamali & Michael Ng & Dmitriy Drichel & Bram Piersma & Kerstin Becker & Thomas B. Layton & Jagdeep Nanchahal & Michael Nothnagel & Ahmad Vaez & Hans Christian Hennies & Pau, 2024. "A genome-wide association meta-analysis implicates Hedgehog and Notch signaling in Dupuytren’s disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    16. Jakub Kopal & Kuldeep Kumar & Kimia Shafighi & Karin Saltoun & Claudia Modenato & Clara A. Moreau & Guillaume Huguet & Martineau Jean-Louis & Charles-Olivier Martin & Zohra Saci & Nadine Younis & Elis, 2024. "Using rare genetic mutations to revisit structural brain asymmetry," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    17. Zhiqiang Sha & Dick Schijven & Amaia Carrion-Castillo & Marc Joliot & Bernard Mazoyer & Simon E. Fisher & Fabrice Crivello & Clyde Francks, 2021. "The genetic architecture of structural left–right asymmetry of the human brain," Nature Human Behaviour, Nature, vol. 5(9), pages 1226-1239, September.
    18. Danielle Rasooly & Gina M. Peloso & Alexandre C. Pereira & Hesam Dashti & Claudia Giambartolomei & Eleanor Wheeler & Nay Aung & Brian R. Ferolito & Maik Pietzner & Eric H. Farber-Eger & Quinn Stanton , 2023. "Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    19. Charley Xia & Sarah J. Pickett & David C. M. Liewald & Alexander Weiss & Gavin Hudson & W. David Hill, 2023. "The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    20. Suzanne Vogelezang & Jonathan P Bradfield & Tarunveer S Ahluwalia & John A Curtin & Timo A Lakka & Niels Grarup & Markus Scholz & Peter J van der Most & Claire Monnereau & Evie Stergiakouli & Anni Hei, 2020. "Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits," PLOS Genetics, Public Library of Science, vol. 16(10), pages 1-26, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33510-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.