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Genetic Architecture Reconciles Linkage and Association Studies of Complex Traits Publisher Pubmed



Sidorenko J1 ; Couvyduchesne B1, 2, 3 ; Kemper KE1 ; Moen GH1, 4, 5, 6 ; Bhatta L5 ; Asvold BO5, 7, 8 ; Magi R9 ; Ani A10, 11 ; Wang R10 ; Nolte IM9, 10 ; Gordon S2 ; Hayward C12 ; Campbell A14 ; Benjamin DJ16, 17, 18 Show All Authors
Authors
  1. Sidorenko J1
  2. Couvyduchesne B1, 2, 3
  3. Kemper KE1
  4. Moen GH1, 4, 5, 6
  5. Bhatta L5
  6. Asvold BO5, 7, 8
  7. Magi R9
  8. Ani A10, 11
  9. Wang R10
  10. Nolte IM9, 10
  11. Gordon S2
  12. Hayward C12
  13. Campbell A14
  14. Benjamin DJ16, 17, 18
  15. Cesarini D18, 19, 20
  16. Evans DM1, 6, 21
  17. Goddard ME22, 23
  18. Haley CS24, 25, 26
  19. Porteous D12
  20. Medland SE2
  21. Martin NG2
  22. Snieder H10
  23. Metspalu A9
  24. Hveem K5, 7
  25. Brumpton B5, 7
  26. Visscher PM1, 27
  27. Yengo L1
Show Affiliations
Authors Affiliations
  1. 1. Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
  2. 2. QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
  3. 3. Sorbonne University, Paris Brain Institute—ICM, CNRS, INRIA, INSERM, AP-HP, Hopital de la Pitie Salpetriere, Paris, France
  4. 4. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
  5. 5. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
  6. 6. The Frazer Institute, University of Queensland, Woolloongabba, QLD, Australia
  7. 7. HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway
  8. 8. Department of Endocrinology, Clinic of Medicine, St Olavs Hospital, Trondheim, Norway
  9. 9. Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
  10. 10. Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
  11. 11. Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
  12. 12. MRC Human Genetics Unit, Institute of Genetics & amp
  13. 13. Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
  14. 14. Centre for Genomic and Experimental Medicine, Institute of Genetics & amp
  15. 15. Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
  16. 16. Human Genetics Department, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
  17. 17. Behavioral Decision Making Group, Anderson School of Management, University of California Los Angeles, Los Angeles, CA, United States
  18. 18. National Bureau of Economic Research, Cambridge, MA, United States
  19. 19. Department of Economics, New York University, New York, NY, United States
  20. 20. Center for Experimental Social Science, New York University, New York, NY, United States
  21. 21. MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
  22. 22. Centre for AgriBioscience, Agriculture Victoria, Bundoora, VIC, Australia
  23. 23. Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, Australia
  24. 24. MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
  25. 25. Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom
  26. 26. Coupland Craft Cider, Coupland, Northumberland, United Kingdom
  27. 27. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom

Source: Nature Genetics Published:2024


Abstract

Linkage studies have successfully mapped loci underlying monogenic disorders, but mostly failed when applied to common diseases. Conversely, genome-wide association studies (GWASs) have identified replicable associations between thousands of SNPs and complex traits, yet capture less than half of the total heritability. In the present study we reconcile these two approaches by showing that linkage signals of height and body mass index (BMI) from 119,000 sibling pairs colocalize with GWAS-identified loci. Concordant with polygenicity, we observed the following: a genome-wide inflation of linkage test statistics; that GWAS results predict linkage signals; and that adjusting phenotypes for polygenic scores reduces linkage signals. Finally, we developed a method using recombination rate-stratified, identity-by-descent sharing between siblings to unbiasedly estimate heritability of height (0.76 ± 0.05) and BMI (0.55 ± 0.07). Our results imply that substantial heritability remains unaccounted for by GWAS-identified loci and this residual genetic variation is polygenic and enriched near these loci. © The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.
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