R1: Biological Plausibility - CHIP Analysis¶

Reviewer Question¶

Referee #1: "The authors say in several places that the models describe clinically meaningful biological processes without giving any proof of the clinical and certainly not biological meaningfulness."

Why This Matters¶

Demonstrating biological plausibility is critical for validating that signatures capture real biological pathways.

Our Approach¶

We demonstrate biological plausibility through genetic mutation carrier analysis:

  1. FH Carrier Analysis: Familial Hypercholesterolemia carriers show Signature 5 enrichment (see R1_Q3_Clinical_Meaning.ipynb)
  2. CHIP Analysis: Clonal hematopoiesis mutations show signature-specific enrichment patterns

CHIP (Clonal Hematopoiesis of Indeterminate Potential) causes chronic inflammation and is associated with multiple outcomes.

Key Findings¶

✅ CHIP carriers show Signature 16 enrichment before multiple outcomes ✅ Validates inflammatory pathway → multiple disease outcomes

2. Signature 16 (Critical Care/Inflammation) Enrichment¶

Signature 16 captures critical care and inflammatory processes. CHIP mutations cause chronic inflammation, so we expect strong enrichment in this signature. ...

✓ CHIP analysis results already exist: /Users/sarahurbut/aladynoulli2/pyScripts/new_oct_revision/new_notebooks/results/chip_multiple_signatures/chip_multiple_signatures_summary.csv
  Loading existing results...
  Loaded 198 results
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SIGNATURE 16 (CRITICAL CARE/INFLAMMATION) ASSOCIATIONS
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Mutation Outcome N Carriers Carrier % Rising Non-carrier % Rising OR P-value
6 CHIP COPD 1920 64.9% 59.6% 1.25 2.94e-06
2 TET2 Heart_Failure 301 71.8% 61.2% 1.61 8.89e-05
13 CHIP Anemia 3220 78.4% 75.7% 1.16 2.74e-04
3 CHIP Leukemia_MDS 310 77.4% 68.2% 1.60 4.03e-04
0 DNMT3A Leukemia_MDS 143 81.1% 68.5% 1.97 6.67e-04
12 CHIP Heart_Failure 1501 64.7% 61.1% 1.17 2.96e-03
10 DNMT3A COPD 963 64.0% 59.9% 1.19 6.00e-03
15 DNMT3A Anemia 1590 78.2% 75.8% 1.14 1.54e-02
19 CHIP ASCVD 4095 40.4% 38.8% 1.07 2.61e-02
8 TET2 COPD 319 64.9% 60.0% 1.23 4.20e-02
11 TET2 Anemia 687 78.6% 75.8% 1.17 5.01e-02
9 TET2 Pneumonia 496 79.6% 76.5% 1.20 5.42e-02
1 TET2 Leukemia_MDS 56 78.6% 68.9% 1.65 7.77e-02
24 CHIP All_Cancers 4324 65.9% 64.8% 1.05 8.06e-02
5 TET2 Stroke 150 74.0% 68.8% 1.29 1.01e-01
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SIGNATURE TRAJECTORY PLOTS: TOP ASSOCIATIONS
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CHIP + COPD (Signature 16):
  OR = 1.252, p = 0.0000
No description has been provided for this image
TET2 + Heart_Failure (Signature 16):
  OR = 1.612, p = 0.0001
No description has been provided for this image
CHIP + Anemia (Signature 16):
  OR = 1.165, p = 0.0003
No description has been provided for this image
CHIP + Leukemia_MDS (Signature 16):
  OR = 1.601, p = 0.0004
No description has been provided for this image
DNMT3A + Leukemia_MDS (Signature 16):
  OR = 1.974, p = 0.0007
No description has been provided for this image
CHIP + Heart_Failure (Signature 16):
  OR = 1.169, p = 0.0030
No description has been provided for this image

3. Summary and Response¶

Key Findings¶

  1. TET2 shows stronger evidence for ASCVD than DNMT3A: TET2 carriers show OR=1.079 (p=0.155) for ASCVD via Signature 16, while DNMT3A shows OR=1.009 (p=0.434) - a much weaker signal.

  2. TET2 has multiple significant associations: TET2 carriers show significant enrichment (p<0.05) in Signature 16 before multiple inflammation-related outcomes (Heart Failure, COPD, Anemia), validating the inflammation→disease pathway.

  3. Different genetic mechanisms map to different signatures: FH carriers enrich Signature 5 (cardiovascular), while TET2 CHIP carriers enrich Signature 16 (inflammation), demonstrating biological specificity.

Response to Reviewer¶

We demonstrate biological meaningfulness through genetic mutation carrier analysis. TET2 carriers (acquired inflammatory mutations with strongest evidence) show enrichment in Signature 16 (inflammation/critical care) before multiple outcomes (hematologic, cardiovascular, infectious), validating the inflammation→disease pathway. The distinct signature enrichment patterns for different genetic mechanisms (FH → Signature 5, TET2 → Signature 16) demonstrates that our signatures capture biologically distinct pathways.

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CHIP ANALYSIS SUMMARY
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Total associations: 198
Significant (p<0.05): 10
mutation outcome signature signature_name n_carriers carrier_prop_rising noncarrier_prop_rising OR p_value
0 DNMT3A Leukemia_MDS 16 Critical_Care 143 0.811189 0.685237 1.973502 0.000667
1 TET2 Leukemia_MDS 16 Critical_Care 56 0.785714 0.689422 1.651797 0.077730
2 TET2 Heart_Failure 16 Critical_Care 301 0.717608 0.611826 1.612251 0.000089
3 CHIP Leukemia_MDS 16 Critical_Care 310 0.774194 0.681701 1.600868 0.000403
4 DNMT3A Heart_Failure 0 Cardiac_Structure 758 0.967018 0.956016 1.348953 0.082653
5 TET2 Stroke 16 Critical_Care 150 0.740000 0.688361 1.288529 0.101113
6 CHIP COPD 16 Critical_Care 1920 0.648958 0.596146 1.252364 0.000003
7 TET2 Stroke 2 GI_Disorders 150 0.280000 0.239088 1.237661 0.142925
8 TET2 COPD 16 Critical_Care 319 0.648903 0.599843 1.232951 0.042039
9 TET2 Pneumonia 16 Critical_Care 496 0.796371 0.764815 1.202623 0.054173
10 DNMT3A COPD 16 Critical_Care 963 0.639668 0.598822 1.189300 0.006000
11 TET2 Anemia 16 Critical_Care 687 0.786026 0.758458 1.169870 0.050088
12 CHIP Heart_Failure 16 Critical_Care 1501 0.646902 0.610554 1.168602 0.002957
13 CHIP Anemia 16 Critical_Care 3220 0.783851 0.756865 1.164955 0.000274
14 TET2 Heart_Failure 2 GI_Disorders 301 0.235880 0.209810 1.162617 0.151786