Cited by 104Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and LipoproteinsLipoproteins and Cardiovascular Health

The role of glycaemic and lipid risk factors in mediating the effect of BMI on coronary heart disease: a two-step, two-sample Mendelian randomisation study

Open access
Xu, Lin, Borges, Maria Carolina, Hemani, Gibran, Lawlor, Debbie A.·2017·Diabetologia

Published version of a preprint

Abstract

Abstract Background The extent to which effects of BMI on coronary heart disease (CHD) are mediated by gylcaemic and lipid risk factors is unclear. Methods We used two-sample Mendelian randomization to determine the causal effect of: (i) BMI on CHD (60,801 cases; 123, 504 controls), type 2 diabetes (T2DM; 34,840 cases; 114,981 controls), fasting glucose (n=46,186), insulin (n=38,238), HbA 1c (n=46,368), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C) and triglycerides (n=188,577); (ii) glycaemic and lipids traits on CHD; and (iii) extent to which these traits mediated any effect of BMI on CHD. Findings One standard deviation (SD) increase in BMI (~ 4.5kg/m 2 ) increased CHD (odds ratio=1.45 (95% confidence interval (CI): 1.27, 1.66)) and T2DM (1.96 (1.35, 2.83)), and levels of fasting glucose (0.07mmol/l (95%CI 0.03, 0.11)), HbA 1c (0.05% (95%CI 0.01, 0.08)), fasting insulin (0.18log pmol/l (95%CI 0.14, 0.22)) and triglycerides (0.20 SD (95%CI 0.14, 0.26)), and lowered levels of HDL-C (−0.23 SD (95%CI −0.32, −0.15)). BMI was not causally related to LDL-C. After accounting for potential pleiotropy, triglycerides, HbA 1c and T2DM were causally related to CHD. The BMI-CHD effect reduced from 1.45 to 1.16 (95%CI 0.99, 1.36) and to 1.36 (95%CI 1.19, 1.57) with genetic adjustment for triglycerides or HbA 1c respectively, and to 1.09 (95%CI 0.94, 1.27) with adjustment for both. Interpretation Increased triglyceride levels and poor glycaemic control appear to mediate much of the effect of BMI on CHD. Funding European Research Council (669545), European Union (733206), China Medical Board (CMB_2015/16), Conselho Nacional de Desenvolvimento Científico e Tecnológico and UK Medical Research Council (MC_UU_12013/5).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00125-017-4396-y

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 51 · Cited by 104

Research works printed but not linked: 1

  1. [6]Hemani G, Tilling K, Davey Smith G (2017) Orienting the causal relationship between imprecisely measured traits using genetic instruments. bioRxiv. doi:10.1101/117101 PMC5711033 29149188 · DOI

Authors
Xu, L., Borges, M. C., Hemani, G., & Lawlor, D. A.
Affiliations
  • Sun Yat-sen University (CN)
  • Universidade Federal de Pelotas (BR)
  • University of Bristol (GB)
Corresponding author
Lawlor, Debbie A.
Venue
Diabetologia
Published
2017-09-09
Volume
60
Issue
11
Pages
2210-2220
ISSN
  • 0012-186X (ISSN-L)
  • 1432-0428
OpenAlex
W2950172732
Cited by
104
References
51
Citations by year
2026: 2 · 2025: 11 · 2024: 16 · 2023: 14 · 2022: 21 · 2021: 12 · 2020: 12 · 2019: 9 · 2018: 5 · 2017: 1
FWCI
4.90
Type
journal article
Language
en
Open access
Locations
  • Diabetologia (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion, cc-by)
Funders
University of Bristol
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
Keywords
body mass index, coronary artery disease, type 2 diabetes, glycemic traits, lipid traits, mediation analysis, fasting blood glucose, HbA1c, fasting insulin, triglycerides, HDL cholesterol, LDL cholesterol, causal effects, horizontal pleiotropy, genetic evidence, obesity risk factors, cardiovascular risk factors
MeSH terms
Blood Glucose, Coronary Disease, Female, Humans, Cholesterol, HDL, Cholesterol, LDL, Male, Risk Factors, Triglycerides, Body Mass Index, Polymorphism, Single Nucleotide, Mendelian Randomization Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review