Table 2 All metabolites that met q-value < 0.2 (marked as √ in the table) in at least one primary model analysis that adjusts for matching factors (*marks p-value < 0.05a).

From: Circulating amino acids and amino acid-related metabolites and risk of breast cancer among predominantly premenopausal women

Metabolites

Logisticb

Lassob

Elastic netb

Random forestb

Number of √

Logisticc

Lassoc

Elastic netc

Random forestc

DMGV

√*

*

 

√*

2

*

  

√*

2-aminohippuric acid

√*

  

*

1

√*

  

*

piperine

√*

√*

√*

√*

4

√*

√*

*

√*

kynurenic acid

√*

*

  

1

√*

√*

  

N2,N2-dimethylguanosine

√*

  

√*

2

    

Phenylacetyl-glutamine

√*

*

  

1

*

√*

  

C34:3 PC plasmalogen

√*

*

 

*

1

 

√*

 

√*

C20:1 LPC

√*

   

1

    

C40:7 PE plasmalogen

√*

√*

 

*

2

*

√*

 

*

Asparagine

√*

*

*

*

1

 

*

 

*

Creatine

*

√*

*

 

1

*

√*

  
  1. aFour metabolites that met threshold for statistical significance in Lasso only but had Logistic regression raw p values > 0.3 were excluded (C12:1 carnitine, C22:5 LPC, C46:2 TAG, glycine)
  2. bSimple model adjusts for matching factors including menopause status at blood draw, time of blood draw, date/season of blood draw, luteal day at blood draw, fasting status at blood draw, menopausal status at diagnosis and race
  3. cAdjusted model: in addition to matching factors, this model adjusts for BMI at age 18, weight change between age 18 and time of blood draw, age at menarche, parity and age at first birth, family history of breast cancer, personal history of benign breast disease, physical activity, alcohol consumption, exogenous hormone use, and breast feeding history
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