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Does higher BMI causally raise heart disease risk?

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Genetic instruments for BMI suggest a causal increase in ischemic heart disease risk larger than simple observational estimates.

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The effect of elevated body mass index on ischemic heart disease risk: causal estimates from a Mendelian randomisation approach

Nordestgaard BG, Palmer TM, Benn M, et al. · PLoS medicine · 2012

doi.org/10.1371/journal.pmed.1001212Read the full paper ↗231 citationscc by

Study at a glance

Design
Mendelian randomisation — Allele-score MR of BMI on ischemic heart disease in three Danish samples
N
N=75627 · CGPS n = 54,613; CCHS n = 10,474; CIHDS n = 10,540; all of Danish descent
Population
White adults of Danish descent in two general-population studies and an IHD case collection
Outcome
Causal effect of elevated BMI on ischemic heart disease risk

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Does higher BMI causally raise heart disease risk?

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Observational OR ~1.26 pooled; CGPS 1.23

In the general population, for one standard deviation (4 kg/m 2 ) increase in BMI, the observational ORs for IHD were 1.23 (95% CI 1.19–1.28) for the CGPS and 1.31 (95% CI 1.23–1.39) for the CCHS ().

What analytic framework estimates causality?

An alternative approach free of confounding, reverse causation, and bias is that of Mendelian randomisation .
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What they did

Using Copenhagen cohorts, investigators compared observational BMI–IHD associations with Mendelian randomisation estimates based on FTO, MC4R, and TMEM18 alleles as instruments for BMI.

What they found

Observationally, each 4 kg/m² BMI related to about 26% higher IHD odds; the causal instrumental-variable OR was about 1.52 (52% higher). Alleles raised BMI by ~0.28 kg/m² each.

The limits

What it doesn't show

MR supports causality but does not identify which intermediate pathways fully mediate BMI’s effect or the best weight-loss treatment.

Key terms

Mendelian randomisation
Using genetic variants as instrumental variables to infer causal effects of modifiable risks.
BMI
Body mass index, weight relative to height, used as an adiposity marker.
IHD
Ischemic heart disease from coronary atherosclerosis.
Instrumental variable
A factor that affects outcome only through the exposure, here adiposity alleles.
Confounding
Bias when lifestyle/SES factors distort observational BMI–disease links.

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Mendelian randomisation here tests causality of:

Common questions

Why use genetics?

Alleles are assigned at conception, reducing confounding and reverse causation.

Which genes?

FTO, MC4R, and TMEM18 variants in an allele score.

Observational vs causal?

About 26% vs 52% higher IHD risk per 4 kg/m² BMI.

Policy angle?

Supports reducing BMI even modestly for heart-disease prevention.

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