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A Novel Method for Mendelian Randomization Analyses With Pleiotropy and Linkage Disequilibrium in Genetic Variants From Individual Data.

ABSTRACT: Mendelian randomization makes use of genetic variants as instrumental variables to eliminate the influence induced by unknown confounders on causal estimation in epidemiology studies. However, with the soaring genetic variants identified in genome-wide association studies, the pleiotropy, and linkage disequilibrium in genetic variants are unavoidable and may produce severe bias in causal inference. In this study, by modeling the pleiotropic effect as a normally distributed random effect, we propose a novel mixed-effects regression model-based method PLDMR, pleiotropy and linkage disequilibrium adaptive Mendelian randomization, which takes linkage disequilibrium into account and also corrects for the pleiotropic effect in causal effect estimation and statistical inference. We conduct voluminous simulation studies to evaluate the performance of the proposed and existing methods. Simulation results illustrate the validity and advantage of the novel method, especially in the case of linkage disequilibrium and directional pleiotropic effects, compared with other methods. In addition, by applying this novel method to the data on Atherosclerosis Risk in Communications Study, we conclude that body mass index has a significant causal effect on and thus might be a potential risk factor of systolic blood pressure. The novel method is implemented in R and the corresponding R code is provided for free download.

SUBMITTER: Wang Y

PROVIDER: S-EPMC8312241 | biostudies-literature |

REPOSITORIES: biostudies-literature

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A two-sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID-19 outcomes.

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Linkage disequilibrium organization of the human KIR superlocus: implications for KIR data analyses.

Project description:An extensive family-based study of linkage disequilibrium (LD) in the killer cell immunoglobulin-like receptors (KIR) cluster was performed. We aimed to describe the LD structure in the KIR gene cluster using a sample of 418 founder haplotypes identified by segregation in a group of 106 families from Northern Ireland. The LD was studied at two levels of polymorphism: the structural level (presence or absence of KIR genes) and the allelic level (between alleles of KIR genes). LD was further assessed using the predictive value of one KIR polymorphism for another one in order to provide an interpretative framework for the LD effect in association studies. In line with previous research, distinct patterns of KIR genetic diversity within the genomic region centromeric to KIR2DL4 (excluding KIR2DL4) and within the telomeric region including KIR2DL4 were found. In a comprehensive PPV/NPV-based LD analysis within the KIR cluster, robust tag markers were found that can be used to identify which genes are concomitantly present or absent and to further identify groups of associated KIR alleles. Several extended KIR haplotypes in the study population were identified (KIR2DS2*POS-KIR2DL2*001-KIR2DL5B*002-KIR2DS3*00103-KIR2DL1*00401; KIR2DL4*011-KIR3DL1/S1*005-KIR2DS4*003-KIR3DL2*003; KIR2DL4*00802-KIR3DL1/S1*004-KIR2DS4*006-KIR3DL2*005; KIR2DL4*00801-KIR3DL1/S1*00101-KIR2DS4*003-KIR3DL2*001; KIR2DL4*00103-KIR3DL1/S1*008-KIR2DS4*003-KIR3DL2*009; KIR2DL4*00102-KIR3DL1/S1*01502/*002-KIR2DS4*00101-KIR3DL2*002; KIR2DL4*00501-KIR3DL1/S1*013-KIR2DL5A*001-KIR2DS5*002-KIR2DS1*002-KIR3DL2*007). The present study provides a rationale for analyzing associations of KIR polymorphisms by taking into account the complex LD structure of the KIR region.

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