Genetic architecture reconciles linkage and association studies of complex traits.


Journal

Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904

Informations de publication

Date de publication:
07 Oct 2024
Historique:
received: 26 02 2023
accepted: 30 08 2024
medline: 8 10 2024
pubmed: 8 10 2024
entrez: 7 10 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39375568
doi: 10.1038/s41588-024-01940-2
pii: 10.1038/s41588-024-01940-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

Ilja M Nolte (IM)

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.

Références

Polderman, T. J. C. et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat. Genet. 47, 702–709 (2015).
pubmed: 25985137 doi: 10.1038/ng.3285
Risch, N. & Merikangas, K. The future of genetic studies of complex human diseases. Science 273, 1516–1517 (1996).
pubmed: 8801636 doi: 10.1126/science.273.5281.1516
Lynch, M. & Walsh, B. Genetics and Analysis of Quantitative Traits (Sinauer Associates, Inc., 1998).
Botstein, D. & Risch, N. Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease. Nat. Genet. 33, 228–237 (2003).
pubmed: 12610532 doi: 10.1038/ng1090
Hall, J. M. et al. Linkage of early-onset familial breast cancer to chromosome 17q21. Science 250, 1684–1689 (1990).
pubmed: 2270482 doi: 10.1126/science.2270482
Goate, A. et al. Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer’s disease. Nature 349, 704–706 (1991).
pubmed: 1671712 doi: 10.1038/349704a0
Risch, N. J. Searching for genetic determinants in the new millennium. Nature 405, 847–856 (2000).
pubmed: 10866211 doi: 10.1038/35015718
Weiss, K. M. & Terwilliger, J. D. How many diseases does it take to map a gene with SNPs? Nat. Genet. 26, 151–157 (2000).
pubmed: 11017069 doi: 10.1038/79866
Visscher, P. M., Brown, M. A., McCarthy, M. I. & Yang, J. Five years of GWAS discovery. Am. J. Hum. Genet. 90, 7–24 (2012).
pubmed: 22243964 pmcid: 3257326 doi: 10.1016/j.ajhg.2011.11.029
McClellan, J. & King, M. C. Genetic heterogeneity in human disease. Cell 141, 210–217 (2010).
pubmed: 20403315 doi: 10.1016/j.cell.2010.03.032
Klein, R. J., Xu, X., Mukherjee, S., Willis, J. & Hayes, J. Successes of genome-wide association studies. Cell 142, 350–351 (2010).
pubmed: 20691890 doi: 10.1016/j.cell.2010.07.026
Wang, K., Bucan, M., Grant, S. F. A., Schellenberg, G. & Hakonarson, H. Strategies for genetic studies of complex diseases. Cell 142, 351–353 (2010).
pubmed: 20691891 doi: 10.1016/j.cell.2010.07.025
Boyle, E. A., Li, Y. I. & Pritchard, J. K. An expanded view of complex traits: from polygenic to omnigenic. Cell 169, 1177–1186 (2017).
pubmed: 28622505 pmcid: 5536862 doi: 10.1016/j.cell.2017.05.038
Visscher, P. et al. Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings. PLoS Genet. 2, e41 (2006).
pubmed: 16565746 pmcid: 1413498 doi: 10.1371/journal.pgen.0020041
Young, A. I. et al. Relatedness disequilibrium regression estimates heritability without environmental bias. Nat. Genet. 50, 1304–1310 (2018).
pubmed: 30104764 pmcid: 6130754 doi: 10.1038/s41588-018-0178-9
Kong, A. et al. The nature of nurture: effects of parental genotypes. Science 359, 424–428 (2018).
pubmed: 29371463 doi: 10.1126/science.aan6877
Howe, L. J. et al. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nat. Genet. 54, 581–592 (2022).
pubmed: 35534559 pmcid: 9110300 doi: 10.1038/s41588-022-01062-7
Lee, J. J. et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet. 50, 1112–1121 (2018).
pubmed: 30038396 pmcid: 6393768 doi: 10.1038/s41588-018-0147-3
Smith, B. H. et al. Cohort profile: Generation Scotland: Scottish family health study (GS: SFHS). The study, its participants and their potential for genetic research on health and illness. Int. J. Epidemiol. 42, 689–700 (2013).
Scholtens, S. et al. Cohort profile: LifeLines, a three-generation cohort study and biobank. Int. J. Epidemiol. 44, 1172–1180 (2015).
pubmed: 25502107 doi: 10.1093/ije/dyu229
Sijtsma, A. et al. Cohort profile update: LifeLines, a three-generation cohort study and biobank. Int. J. Epidemiol. 51, e295–e302 (2022).
pubmed: 34897450 doi: 10.1093/ije/dyab257
Bycroft, C. et al. The UK Biobank resource with deep phenotyping and genomic data. Nature 562, 203–209 (2018).
pubmed: 30305743 pmcid: 6786975 doi: 10.1038/s41586-018-0579-z
Leitsalu, L. et al. Cohort profile: Estonian Biobank of the Estonian Genome Center, University of Tartu. Int. J. Epidemiol. 44, 1137–1147 (2015).
pubmed: 24518929 doi: 10.1093/ije/dyt268
Brumpton, B. M. et al. The HUNT study: a population-based cohort for genetic research. Cell Genom. 2, 100193 (2022).
pubmed: 36777998 pmcid: 9903730 doi: 10.1016/j.xgen.2022.100193
Åsvold, B. O. et al. Cohort profile update: the HUNT study, Norway. Int. J. Epidemiol. 52, e80–e91 (2023).
Kemper, K. E. et al. Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals. Nat. Commun. 12, 1050 (2021).
pubmed: 33594080 pmcid: 7886899 doi: 10.1038/s41467-021-21283-4
Gazal, S. et al. Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection. Nat. Genet. 49, 1421–1427 (2017).
pubmed: 28892061 pmcid: 6133304 doi: 10.1038/ng.3954
Schousboe, K. et al. Sex differences in heritability of BMI: a comparative study of results from twin studies in eight countries. Twin Res. 6, 409–421 (2003).
pubmed: 14624725 doi: 10.1375/136905203770326411
Silventoinen, K. et al. Heritability of adult body height: a comparative study of twin cohorts in eight countries. Twin Res. 6, 399–408 (2003).
pubmed: 14624724 doi: 10.1375/136905203770326402
Lander, E. & Kruglyak, L. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results. Nat. Genet. 11, 241–247 (1995).
pubmed: 7581446 doi: 10.1038/ng1195-241
Lander, E. S. & Botstein, D. Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121, 185–199 (1989).
pubmed: 2563713 pmcid: 1203601 doi: 10.1093/genetics/121.1.185
Dekkers, J. C. M. & Dentine, M. R. Quantitative genetic variance associated with chromosomal markers in segregating populations. Theor. Appl. Genet. 81, 212–220 (1991).
pubmed: 24221205 doi: 10.1007/BF00215725
Yengo, L. et al. A saturated map of common genetic variants associated with human height. Nature 610, 704–712 (2022).
pubmed: 36224396 pmcid: 9605867 doi: 10.1038/s41586-022-05275-y
Yengo, L. et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Hum. Mol. Genet. 27, 3641–3649 (2018).
pubmed: 30124842 pmcid: 6488973 doi: 10.1093/hmg/ddy271
Visscher, P. M. Proportion of the variation in genetic composition in backcrossing programs explained by genetic markers. J. Heredity 87, 136–138 (1996).
doi: 10.1093/oxfordjournals.jhered.a022969
Bulik-Sullivan, B. et al. An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241 (2015).
pubmed: 26414676 pmcid: 4797329 doi: 10.1038/ng.3406
Hodge, S. E. Linkage analysis versus association analysis: distinguishing between two models that explain disease-marker associations. Am. J. Hum. Genet. 53, 367–384 (1993).
pubmed: 8328455 pmcid: 1682368
Hemani, G. et al. Inference of the genetic architecture underlying BMI and height with the use of 20,240 sibling pairs. Am. J. Hum. Genet. 93, 865–875 (2013).
pubmed: 24183453 pmcid: 3965855 doi: 10.1016/j.ajhg.2013.10.005
Hivert, V. et al. Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals. Am. J. Hum. Genet. 108, 786–798 (2021).
pubmed: 33811805 pmcid: 8205999 doi: 10.1016/j.ajhg.2021.02.014
Hill, W. G., Goddard, M. E. & Visscher, P. M. Data and theory point to mainly additive genetic variance for complex traits. PLoS Genet. 4, e1000008 (2008).
pubmed: 18454194 pmcid: 2265475 doi: 10.1371/journal.pgen.1000008
Yang, J. et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat. Genet. 47, 1114–1120 (2015).
pubmed: 26323059 pmcid: 4589513 doi: 10.1038/ng.3390
Wainschtein, P. et al. Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. Nat. Genet. 54, 263–273 (2022).
pubmed: 35256806 pmcid: 9119698 doi: 10.1038/s41588-021-00997-7
Backman, J. D. et al. Exome sequencing and analysis of 454,787 UK Biobank participants. Nature 599, 628–634 (2021).
pubmed: 34662886 pmcid: 8596853 doi: 10.1038/s41586-021-04103-z
Akbari, P. et al. Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity. Science 373, eabf8683 (2021).
pubmed: 34210852 pmcid: 10275396 doi: 10.1126/science.abf8683
Tenesa, A., Rawlik, K., Navarro, P. & Canela-Xandri, O. Genetic determination of height-mediated mate choice. Genome Biol. 16, 269 (2016).
pubmed: 26781582 pmcid: 4717574 doi: 10.1186/s13059-015-0833-8
Yengo, L. et al. Imprint of assortative mating on the human genome. Nat. Hum. Behav. 2, 948–954 (2018).
pubmed: 30988446 pmcid: 6705135 doi: 10.1038/s41562-018-0476-3
Robinson, M. R. et al. Genetic evidence of assortative mating in humans. Nat. Hum. Behav. 1, 16 (2017).
doi: 10.1038/s41562-016-0016
Visscher, P. M. & Haley, C. S. Detection of putative quantitative trait loci in line crosses under infinitesimal genetic models. Theor. Appl. Genet. 93, 691–702 (1996).
pubmed: 24162396 doi: 10.1007/BF00224064
Sham, P. C., Cherny, S. S., Purcell, S. & Hewitt, J. K. Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data. Am. J. Hum. Genet. 66, 1616–1630 (2000).
pubmed: 10762547 pmcid: 1378020 doi: 10.1086/302891
Visscher, P. M. & Hopper, J. L. Power of regression and maximum likelihood methods to map QTL from sib-pair and DZ twin data. Ann. Hum. Genet. 65, 583–601 (2001).
pubmed: 11851988 doi: 10.1046/j.1469-1809.2001.6560583.x
Manichaikul, A. et al. Robust relationship inference in genome-wide association studies. Bioinformatics 26, 2867–2873 (2010).
pubmed: 20926424 pmcid: 3025716 doi: 10.1093/bioinformatics/btq559
Abecasis, G. R., Cherny, S. S., Cookson, W. O. & Cardon, L. R. Merlin—rapid analysis of dense genetic maps using sparse gene flow trees. Nat. Genet. 30, 97–101 (2002).
Locke, A. E. et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197–206 (2015).
pubmed: 25673413 pmcid: 4382211 doi: 10.1038/nature14177
Loh, P. R., Kichaev, G., Gazal, S., Schoech, A. P. & Price, A. L. Mixed-model association for biobank-scale datasets. Nat. Genet. 50, 906–908 (2018).
Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011).
pubmed: 21167468 pmcid: 3014363 doi: 10.1016/j.ajhg.2010.11.011
Yang, J. et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat. Genet. 44, 369–375 (2012).
pubmed: 22426310 pmcid: 3593158 doi: 10.1038/ng.2213
Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience 4, 7 (2015).
pubmed: 25722852 pmcid: 4342193 doi: 10.1186/s13742-015-0047-8
Zaitlen, N. et al. Using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits. PLoS Genet. 9, e1003520 (2013).
pubmed: 23737753 pmcid: 3667752 doi: 10.1371/journal.pgen.1003520
Yengo, L., Wray, N. R. & Visscher, P. M. Extreme inbreeding in a European ancestry sample from the contemporary UK population. Nat. Commun. 10, 3719 (2019).
pubmed: 31481654 pmcid: 6722066 doi: 10.1038/s41467-019-11724-6
Delaneau, O., Zagury, J.-F. & Marchini, J. Improved whole-chromosome phasing for disease and population genetic studies. Nat. Methods 10, 5–6 (2013).
Wray, N. R. et al. Pitfalls of predicting complex traits from SNPs. Nat. Rev. Genet. 14, 507–515 (2013).
pubmed: 23774735 pmcid: 4096801 doi: 10.1038/nrg3457
Yengo, L. Genetic architecture reconciles linkage and association studies of complex traits. Zenodo https://doi.org/10.5281/zenodo.10416893 (2023).

Auteurs

Julia Sidorenko (J)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia. j.sidorenko@imb.uq.edu.au.

Baptiste Couvy-Duchesne (B)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Sorbonne University, Paris Brain Institute-ICM, CNRS, INRIA, INSERM, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France.

Kathryn E Kemper (KE)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.

Gunn-Helen Moen (GH)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
The Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia.

Laxmi Bhatta (L)

K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.

Bjørn Olav Åsvold (BO)

K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.
Department of Endocrinology, Clinic of Medicine, St Olavs Hospital, Trondheim, Norway.

Reedik Mägi (R)

Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.

Alireza Ani (A)

Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran.

Rujia Wang (R)

Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Ilja M Nolte (IM)

Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.

Scott Gordon (S)

QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Caroline Hayward (C)

MRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.

Archie Campbell (A)

Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.

Daniel J Benjamin (DJ)

Human Genetics Department, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Behavioral Decision Making Group, Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA.
National Bureau of Economic Research, Cambridge, MA, USA.

David Cesarini (D)

National Bureau of Economic Research, Cambridge, MA, USA.
Department of Economics, New York University, New York, NY, USA.
Center for Experimental Social Science, New York University, New York, NY, USA.

David M Evans (DM)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
The Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia.
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.

Michael E Goddard (ME)

Centre for AgriBioscience, Agriculture Victoria, Bundoora, Victoria, Australia.
Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, Australia.

Chris S Haley (CS)

MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK.
Coupland Craft Cider, Coupland, Northumberland, UK.

David Porteous (D)

MRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.

Sarah E Medland (SE)

QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Nicholas G Martin (NG)

QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Harold Snieder (H)

Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Andres Metspalu (A)

Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.

Kristian Hveem (K)

K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.

Ben Brumpton (B)

K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.

Peter M Visscher (PM)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia. peter.visscher@uq.edu.au.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK. peter.visscher@uq.edu.au.

Loic Yengo (L)

Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia. l.yengo@imb.uq.edu.au.

Classifications MeSH