Alicic RZ, Rooney MT, Tuttle KR (2017) Diabetic kidney disease: challenges, progress, and possibilities. Clin J Am Soc Nephrol 12(12):2032–2045
Article PubMed PubMed Central Google Scholar
Ammirati AL (2020) Chronic kidney disease. Rev Assoc Med Bras 66(Suppl 1):s03–s09
Barsoum RS (2010) Glomerulonephritis in disadvantaged populations. Clin Nephrol 74(Suppl 1):S44-50
Birney E (2022) Mendelian randomization. Cold Spring Harb Perspect Med 12(4):a041302
PubMed PubMed Central Google Scholar
Bowden J, Holmes MV (2019) Meta-analysis and Mendelian randomization: a review. Res Synth Methods 10(4):486–496
Article PubMed PubMed Central Google Scholar
Bowden J et al (2016) Consistent estimation in Mendelian Randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol 40(4):304–314
Article PubMed PubMed Central Google Scholar
Broyd SJ et al (2009) Default-mode brain dysfunction in mental disorders: a systematic review. Neurosci Biobehav Rev 33(3):279–296
Bugnicourt JM et al (2013) Cognitive disorders and dementia in CKD: the neglected kidney-brain axis. J Am Soc Nephrol 24(3):353–363
Burgess S, Thompson SG (2011) Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol 40(3):755–764
Burgess S, Thompson SG (2017) Interpreting findings from Mendelian randomization using the MR-egger method. Eur J Epidemiol 32(5):377–389
Article PubMed PubMed Central Google Scholar
Burgess S et al (2019) Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res 4:186
Charles C, Ferris AH (2020) Chronic kidney disease. Prim Care 47(4):585–595
Chen X et al (2021) Kidney damage causally affects the brain cortical structure: a Mendelian randomization study. EBioMedicine 72:103592
Article PubMed PubMed Central Google Scholar
Davey Smith G, Hemani G (2014) Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet 23(R1):R89-98
Article PubMed PubMed Central Google Scholar
Di Bona GF (2005) Physiology in perspective: the wisdom of the body. Neural control of the kidney. Am J Physiol Regul Integr Comp Physiol 289(3):633–641
Drew DA, Weiner DE, Sarnak MJ (2019) Cognitive impairment in CKD: pathophysiology, management, and prevention. Am J Kidney Dis 74(6):782–790
Article PubMed PubMed Central Google Scholar
Elliott LT et al (2018) Genome-wide association studies of brain imaging phenotypes in UK biobank. Nature 562(7726):210–216
Article PubMed PubMed Central Google Scholar
Emdin CA, Khera AV, Kathiresan S (2017) Mendelian randomization. JAMA 318(19):1925–1926
Epstein M (1997) Alcohol’s impact on kidney function. Alcohol Health Res World 21(1):84–92
PubMed PubMed Central Google Scholar
Gao X et al (2022) Explore the effects of overweight and smoking on spontaneous brain activity: independent and reverse. Front Neurosci 16:944768
Article PubMed PubMed Central Google Scholar
Grasby KL et al (2020) The genetic architecture of the human cerebral cortex. Science. https://doi.org/10.1126/science.aay6690
Article PubMed PubMed Central Google Scholar
Hartwig FP, Smith GD, Bowden J (2017) Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption. Int J Epidemiol 46(6):1985–1998
Article PubMed PubMed Central Google Scholar
Hassler JR (2020) IgA nephropathy: a brief review. Semin Diagn Pathol 37(3):143–147
Hemani G et al (2018a) The MR-base platform supports systematic causal inference across the human phenome. Elife. https://doi.org/10.7554/eLife.34408
Article PubMed PubMed Central Google Scholar
Hemani G, Bowden J, Smith GD (2018b) Evaluating the potential role of pleiotropy in Mendelian randomization studies. Hum Mol Genet 27(R2):R195–R208
Article PubMed PubMed Central Google Scholar
Holmes MV, Ala-Korpela M, Smith GD (2017) Mendelian randomization in cardiometabolic disease: challenges in evaluating causality. Nat Rev Cardiol 14(10):577–590
Article PubMed PubMed Central Google Scholar
Honey CJ, Thivierge JP, Sporns O (2010) Can structure predict function in the human brain? Neuroimage 52(3):766–776
Huang D et al (2024) Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study. BMC Psychiatry 24(1):402
Article PubMed PubMed Central Google Scholar
Jawa NA et al (2022) Visuospatial and executive dysfunction in patients with acute kidney injury, chronic kidney disease, and kidney failure: a multilevel modeling analysis. Can J Kidney Health Dis 9:20543581221103100
Article PubMed PubMed Central Google Scholar
Ji JL et al (2019) Mapping the human brain’s cortical-subcortical functional network organization. Neuroimage 185:35–57
Keskinyan VS, Lattanza B, Reid-Adam J (2023) Glomerulonephritis. Pediatr Rev 44(9):498–512
Kiryluk K et al (2023) Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy. Nat Genet 55(7):1091–1105
Article PubMed PubMed Central Google Scholar
Kurki MI et al (2023) FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 613(7944):508–518
Article PubMed PubMed Central Google Scholar
Lameire NH et al (2021) Harmonizing acute and chronic kidney disease definition and classification: report of a kidney disease: improving global outcomes (KDIGO) consensus conference. Kidney Int 100(3):516–526
Li W et al (2017) Remodeling Pearson’s correlation for functional brain network estimation and Autism Spectrum Disorder identification. Front Neuroinform 11:55
Article PubMed PubMed Central Google Scholar
Liu YQ et al (2021) Rheumatoid arthritis and osteoporosis: a bi-directional Mendelian randomization study. Aging (Albany NY) 13(10):14109–14130
Comments (0)