Literature DB >> 32329512

Relationship between birth weight and chronic kidney disease: evidence from systematics review and two-sample Mendelian randomization analysis.

Xinghao Yu1, Zhongshang Yuan2, Haojie Lu1, Yixin Gao1, Haimiao Chen1, Zhonghe Shao1, Jiaji Yang1, Fengjun Guan3, Shuiping Huang1, Ping Zeng1.   

Abstract

Observational studies showed an inverse association between birth weight and chronic kidney disease (CKD) in adulthood existed. However, whether such an association is causal remains fully elusive. Moreover, none of prior studies distinguished the direct fetal effect from the indirect maternal effect. Herein, we aimed to investigate the causal relationship between birth weight and CKD and to understand the relative fetal and maternal contributions. Meta-analysis (n = ~22 million) showed that low birth weight led to ~83% (95% confidence interval [CI] 37-146%) higher risk of CKD in late life. With summary statistics from large scale GWASs (n = ~300 000 for birth weight and ~481 000 for CKD), linkage disequilibrium score regression demonstrated birth weight had a negative maternal, but not fetal, genetic correlation with CKD and several other kidney-function related phenotypes. Furthermore, with multiple instruments of birth weight, Mendelian randomization showed there existed a negative fetal casual association (OR = 1.10, 95% CI 1.01-1.16) between birth weight and CKD; a negative but non-significant maternal casual association (OR = 1.09, 95% CI 0.98-1.21) was also identified. Those associations were robust against various sensitivity analyses. However, no maternal/fetal casual effects of birth weight were significant for other kidney-function related phenotypes. Overall, our study confirmed the inverse association between birth weight and CKD observed in prior studies, and further revealed the shared maternal genetic foundation between low birth weight and CKD, and the direct fetal and indirect maternal causal effects of birth weight may commonly drive this negative relationship.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Year:  2020        PMID: 32329512     DOI: 10.1093/hmg/ddaa074

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  6 in total

1.  Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations.

Authors:  Haojie Lu; Ting Wang; Jinhui Zhang; Shuo Zhang; Shuiping Huang; Ping Zeng
Journal:  Hum Genet       Date:  2021-06-06       Impact factor: 4.132

2.  Exploring the association between birthweight and breast cancer using summary statistics from a perspective of genetic correlation, mediation, and causality.

Authors:  Meng Zhang; Jiahao Qiao; Shuo Zhang; Ping Zeng
Journal:  J Transl Med       Date:  2022-05-14       Impact factor: 8.440

3.  The Causal Evidence of Birth Weight and Female-Related Traits and Diseases: A Two-Sample Mendelian Randomization Analysis.

Authors:  Renke He; Rui Liu; Haiyan Wu; Jiaen Yu; Zhaoying Jiang; Hefeng Huang
Journal:  Front Genet       Date:  2022-08-12       Impact factor: 4.772

4.  Mendelian randomization implies no direct causal association between leukocyte telomere length and amyotrophic lateral sclerosis.

Authors:  Yixin Gao; Ting Wang; Xinghao Yu; Huashuo Zhao; Ping Zeng
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

5.  Assessing the Relationship Between Leukocyte Telomere Length and Cancer Risk/Mortality in UK Biobank and TCGA Datasets With the Genetic Risk Score and Mendelian Randomization Approaches.

Authors:  Yixin Gao; Yongyue Wei; Xiang Zhou; Shuiping Huang; Huashuo Zhao; Ping Zeng
Journal:  Front Genet       Date:  2020-10-23       Impact factor: 4.599

6.  Assessing Causal Relationship Between Human Blood Metabolites and Five Neurodegenerative Diseases With GWAS Summary Statistics.

Authors:  Haimiao Chen; Jiahao Qiao; Ting Wang; Zhonghe Shao; Shuiping Huang; Ping Zeng
Journal:  Front Neurosci       Date:  2021-12-09       Impact factor: 4.677

  6 in total

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