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Editorial
. 2023 Sep 1;34(9):1473-1475.
doi: 10.1681/ASN.0000000000000175.

Incorporating Linear Mixed Models into GWAS of Kidney Function Decline

Matthew B Lanktree  1
Affiliations
Editorial

Incorporating Linear Mixed Models into GWAS of Kidney Function Decline

Matthew B Lanktree. J Am Soc Nephrol. .
No abstract available

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Conflict of interest statement

M.B. Lanktree reports Research Funding: grant funding from the Canadian Institutes of Health Research, Hamilton Academic Health Sciences Organization (HAHSO), Hamilton Health Sciences, and the Canadian Kidney Foundation; Honoraria: Bayer, Otsuka, Reata, and Sanofi; Advisory or Leadership Role: M.B. Lanktree received compensation for participating in advisory and consultancy boards with Bayer, Otsuka, Reata, and Sanofi; and Speakers Bureau: Bayer, Otsuka, Reata, and Sanofi.

Figures

Figure 1
Figure 1
Advances in modeling eGFR decline as a trait for GWAS. In each graph, each dot represents an eGFR assessment at a given age, and the dark line represents the eGFR decline slope assessed in every individual. For the linear mixed model, the dotted lines represent the random slopes of all the other participants in the study that are used to estimate the fixed effects of age, sex, ancestry, and each genetic variant. GWAS, genome-wide association study.
See this image and copyright information in PMC

Comment on

  • Genome-Wide Association Study of CKD Progression.
    Robinson-Cohen C, Triozzi JL, Rowan B, He J, Chen HC, Zheng NS, Wei WQ, Wilson OD, Hellwege JN, Tsao PS, Gaziano JM, Bick A, Matheny ME, Chung CP, Lipworth L, Siew ED, Ikizler TA, Tao R, Hung AM. Robinson-Cohen C, et al. J Am Soc Nephrol. 2023 Sep 1;34(9):1547-1559. doi: 10.1681/ASN.0000000000000170. Epub 2023 Jun 1. J Am Soc Nephrol. 2023. PMID: 37261792 Free PMC article.

References

    1. Robinson-Cohen C Triozzi J Rowan B, et al. . Genome-wide association study of chronic kidney disease progression. J Am Soc Nephrol. 2023;34(9):1547–1559. doi:10.1681/ASN.0000000000000170 - DOI - PMC - PubMed
    1. Liu H Doke T Guo D, et al. . Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nat Genet. 2022;54(7):950–962. doi:10.1038/s41588-022-01097-w - DOI - PMC - PubMed
    1. Gorski M Rasheed H Teumer A, et al. . Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. Kidney Int. 2022;102(3):624–639. doi:10.1016/j.kint.2022.05.021 - DOI - PMC - PubMed
    1. Gorski M Jung B Li Y, et al. . Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2021;99(4):926–939. doi:10.1016/j.kint.2020.09.030 - DOI - PMC - PubMed
    1. Khan A, Kiryluk K. Kidney disease progression and collider bias in GWAS. Kidney Int. 2022;102(3):476–478. doi:10.1016/j.kint.2022.06.018 - DOI - PubMed

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