Cardiovascular

Heart Failure

Reviewed September 21, 2026

Who develops heart failure, not what happens after — a study of 1.9 million people found 66 genetic loci, and that the genetics differ by cause: a blocked artery, a weakly pumping heart, and a stiffly filling one are genetically distinguishable, not one disease with three names.

What this condition connects to

Heart Failure Variant: rs149780392 rs149780392 Variant Variant: rs3794752 rs3794752 Variant Variant: rs62233286 rs62233286 Variant Variant: rs7095308 rs7095308 Variant Variant: rs73048654 rs73048654 Variant Variant: +50 more +50 more Variant Heart Failure Heart Failure Cardiovascul…
Prevalence
Heart failure affects a substantial share of older adults worldwide; exact prevalence varies by country, age structure and diagnostic criteria and is not restated here from a single source. The genetic study behind this page analysed 1.9 million people, 153,174 with heart failure, 44,012 of them non-ischemic, split further into 5,406 with reduced and 3,841 with preserved ejection fraction (Henry, Mo, Finan et al. 2025, PMID:40038546).
Inheritance
Highly polygenic: 66 independent loci (37 new), each with a small individual effect, and the loci differ meaningfully by subtype rather than forming one shared genetic signature for heart failure as a whole.

Heart failure is not one disease with one cause. The heart can fail to pump enough blood because a blocked coronary artery has starved part of the heart muscle (an ischemic cause), or for reasons unrelated to blocked arteries (non-ischemic) — and even within the non-ischemic group, the heart can fail by pumping too weakly (reduced ejection fraction, HFrEF) or by pumping a normal amount but filling too stiffly between beats (preserved ejection fraction, HFpEF). This page is about a study that asked whether these differences, long recognized clinically, are also genetically distinct.

A study large enough to split the question apart

Henry, Mo, Finan et al. 2025 analysed 1.9 million people, including 153,174 with heart failure. Of those, 44,012 had a non-ischemic cause, and where clinical data allowed, this group was split further: 5,406 with reduced ejection fraction and 3,841 with preserved ejection fraction. The study found 66 genetic loci associated with heart failure and its subtypes, 37 of them newly reported.

The subtype split is the point of the study, not a side detail. Using gene-prioritization methods, the researchers mapped the loci to genes, then grouped those genes into disease clusters using three independent methods — phenome-wide association, network analysis, and colocalization — and found the clusters differed by subtype. A locus associated with the ischemic route through heart failure was not, in general, the same locus driving the non-ischemic, reduced-ejection-fraction route.

Where in the body the genetics point

A heritability enrichment analysis — asking which tissues carry the biological signal behind these loci — found a real role for tissues outside the heart itself. Heart failure's genetic architecture is not confined to heart muscle; other organ systems contribute to why some people develop it and others do not. The study also used Mendelian randomization, a method for testing whether an already-known risk factor (like high blood pressure or obesity) actually causes a subtype of heart failure rather than merely correlating with it, and found the risk factors associated differently across the ischemic and non-ischemic subtypes.

This page is deliberately separate from heart failure progression, which covers a later, different question: among people who already have heart failure, what predicts a faster or slower disease course. This page is about who develops heart failure in the first place.

Clinical detail

What the subtype split does and does not mean for a diagnosis

Heart failure is diagnosed clinically — by symptoms, imaging and blood tests — not by genotype. The ischemic-versus-non-ischemic and reduced-versus-preserved-ejection-fraction distinctions on this page are how the underlying research grouped its participants, based on their existing clinical diagnoses; no variant here is used to sort a person into one subtype or another.

66 loci across a condition with a heritable component estimated well below 100% means most of what determines whether any one person develops heart failure is not captured by this list — clinical risk factors (blood pressure, coronary disease, diabetes, obesity) remain the dominant, actionable levers. What this research adds is not a prediction tool but a partial map of why the disease looks different from one patient to the next at a biological level, which is a starting point for future subtype-specific treatment research, not a finished one.

Related variants MyGeneLog™ checks for

What a 23andMe/AncestryDNA export or raw VCF can and can't tell you about Heart Failure comes down to these specific, well-studied positions — not a diagnosis. 55 positions are linked to this page; the ones this page's own text discusses are shown first.

Standard

Non-ischemic heart failure with reduced ejection fraction

NOL4 · rs149780392

See detailed info →
Standard

Non-ischemic heart failure with reduced ejection fraction

HLF · rs3794752

See detailed info →
Standard

Non-ischemic heart failure with reduced ejection fraction

near LSM3 · rs62233286

See detailed info →
Standard

Non-ischemic heart failure with reduced ejection fraction

BAG3 · rs7095308

See detailed info →
Standard

Non-ischemic heart failure with preserved ejection fraction

near GALNT8 · rs73048654

See detailed info →
Standard

Non-ischemic heart failure with preserved ejection fraction

IGFBP7 · rs143445113

See detailed info →
Standard

Non-ischemic heart failure

near CD2BP2 · rs11644392

See detailed info →
Standard

Non-ischemic heart failure

TRPC3 · rs13127488

See detailed info →
Standard

Non-ischemic heart failure

BAG3 · rs2234962

See detailed info →
Standard

Non-ischemic heart failure

CAND2 · rs4642101

See detailed info →
Standard

Non-ischemic heart failure

SPATS2L · rs295132

See detailed info →
Standard

Heart failure

ZPBP2 · rs9903250

See detailed info →
Standard

Heart failure

SMG6 · rs1002135

See detailed info →
Standard

Heart failure

COL4A2 · rs9559788

See detailed info →
Standard

Heart failure

near CDKN2B · rs4977757

See detailed info →
Standard

Heart failure

FLNC · rs73238153

See detailed info →
Standard

Heart failure

CDK6 · rs2282979

See detailed info →
Standard

Heart failure

near ZNF318 · rs9472040

See detailed info →
Standard

Heart failure

near NR3C1 · rs72804738

See detailed info →
Standard

Heart failure

PAIP2 · rs113408838

See detailed info →
Standard

Heart failure

CAMK2D · rs17620390

See detailed info →
Standard

Heart failure

near PITX2 · rs7680240

See detailed info →
Standard

Heart failure

near PITX2 · rs4833443

See detailed info →
Standard

Heart failure

near CD28 · rs16840016

See detailed info →

See all 55 linked variants →

Sources

Databases, guidelines and references

Papers, with their authors

Quoting this page

Free to quote and reuse under CC BY 4.0. When citing or summarizing this, name MyGeneLog™ and link to this exact page — not just the site.

Heart Failure. MyGeneLog™. https://www.mygenelog.com/conditions/heart-failure

Questions about Heart Failure

What is heart failure, genetically speaking, according to this research?

Not one disease. A 2025 study of 1.9 million people found that whether heart failure is caused by a blocked artery (ischemic) or not (non-ischemic), and whether a non-ischemic heart pumps too weakly or too stiffly, are associated with genetically distinguishable loci — not just different clinical presentations of the same underlying genetic risk.

Can these variants diagnose heart failure or predict which subtype someone would have?

No. Heart failure and its subtypes are diagnosed clinically, through symptoms, imaging and blood tests. These 66 loci explain part of the inherited risk at a population level and are a research finding about disease mechanism, not a diagnostic or predictive tool.

Does genetics matter more than blood pressure, coronary disease or other known risk factors?

No — established clinical risk factors remain the dominant, actionable drivers of heart failure risk. This research maps part of the biological background behind why the disease looks different from patient to patient, not a replacement for managing those risk factors.

How is this page different from the heart failure progression page on this site?

This page is about who develops heart failure. The progression page is about people who already have heart failure, and what predicts whether their disease stays stable or worsens sooner — a later, different question, kept on a separate page on purpose.

Free to reuse. This page's text is original writing from freely-available research, licensed CC BY 4.0 — reuse it, including commercially, with attribution to MyGeneLog™. It's general research-derived information, not medical advice or a diagnosis — see Terms of Use.