Evidence map›Paper›PMID 34178025›Full record

ArticleFrontiers in genetics2021

Instrumental Heterogeneity in Sex-Specific Two-Sample Mendelian Randomization: Empirical Results From the Relationship Between Anthropometric Traits and Breast/Prostate Cancer.

Yixin Gao, Jinhui Zhang, Huashuo Zhao, Fengjun Guan, Ping Zeng

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Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yixin GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Jinhui ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Huashuo ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Fengjun GuanDepartment of Pediatrics, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Ping ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn two-sample Mendelian randomization (MR) studies, sex instrumental heterogeneity is an important problem needed to address carefully, which however is often overlooked and may lead to misleading causal inference.

methodsWe first employed cross-trait linkage disequilibrium score regression (LDSC), Pearson's correlation analysis, and the Cochran's

resultsThe simulation definitively demonstrated that sex-combined IVs can lead to biased causal effect estimates in sex-specific two-sample MR studies. In our real applications, both LDSC and Pearson's correlation analyses showed high genetic correlation between sex-combined and sex-specific IVs of the four anthropometric traits, while nearly all the correlation coefficients were larger than zero but less than one. The Cochran's

conclusionOur study reveals that the sex instrumental heterogeneity has non-ignorable impact on sex-specific two-sample MR studies and the causal effects of anthropometric traits on breast/prostate cancer would be biased if sex-combined IVs are incorrectly employed.

Indexed as

anthropometric traitsbreast cancercausal effect estimationprostate cancersex heterogeneitysex-specific and sex-combined instrumental variablesummary statisticstwo-sample Mendelian randomization

Identifiers

PMID34178025
PMCPMC8220153

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