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在 UK Biobank 中超过 300000 名参与者中,使用孟德尔随机化搜索体重指数的因果效应。

Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization.

机构信息

MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.

Department of Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.

出版信息

PLoS Genet. 2019 Feb 1;15(2):e1007951. doi: 10.1371/journal.pgen.1007951. eCollection 2019 Feb.

Abstract

Mendelian randomization (MR) has been used to estimate the causal effect of body mass index (BMI) on particular traits thought to be affected by BMI. However, BMI may also be a modifiable, causal risk factor for outcomes where there is no prior reason to suggest that a causal effect exists. We performed a MR phenome-wide association study (MR-pheWAS) to search for the causal effects of BMI in UK Biobank (n = 334 968), using the PHESANT open-source phenome scan tool. A subset of identified associations were followed up with a formal two-stage instrumental variable analysis in UK Biobank, to estimate the causal effect of BMI on these phenotypes. Of the 22 922 tests performed, our MR-pheWAS identified 587 associations below a stringent P value threshold corresponding to a 5% estimated false discovery rate. These included many previously identified causal effects, for instance, an adverse effect of higher BMI on risk of diabetes and hypertension. We also identified several novel effects, including protective effects of higher BMI on a set of psychosocial traits, identified initially in our preliminary MR-pheWAS in circa 115,000 UK Biobank participants and replicated in a different subset of circa 223,000 UK Biobank participants. Our comprehensive MR-pheWAS identified potential causal effects of BMI on a large and diverse set of phenotypes. This included both previously identified causal effects, and novel effects such as a protective effect of higher BMI on feelings of nervousness.

摘要

孟德尔随机化(MR)已被用于估计体重指数(BMI)对特定特征的因果效应,这些特征被认为受 BMI 影响。然而,BMI 也可能是一种可改变的、因果风险因素,对于那些没有事先理由表明存在因果效应的结果。我们在英国生物库(n=334968)中进行了一项 MR 表型全基因组关联研究(MR-pheWAS),使用 PHESANT 开源表型扫描工具。对鉴定出的部分关联进行了英国生物库的正式两阶段工具变量分析,以估计 BMI 对这些表型的因果效应。在进行的 22922 次测试中,我们的 MR-pheWAS 确定了 587 个关联,这些关联的 P 值低于严格的阈值,对应于 5%的估计假发现率。这些关联包括许多先前确定的因果效应,例如,较高 BMI 对糖尿病和高血压风险的不利影响。我们还确定了一些新的效应,包括较高 BMI 对一系列社会心理特征的保护作用,这些特征最初是在我们大约 115000 名英国生物库参与者的初步 MR-pheWAS 中确定的,并在大约 223000 名英国生物库参与者的不同子集中得到了复制。我们的全面 MR-pheWAS 确定了 BMI 对大量和多样化的表型的潜在因果效应。这包括先前确定的因果效应,以及新的效应,如较高 BMI 对紧张感的保护作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa21/6373977/16da0b111bef/pgen.1007951.g001.jpg

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