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Table 3 Logistic regression analyses used to find the best genetic model of inheritance that describes the effect of the genotypes

From: Variation in extracellular matrix genes is associated with weight regain after weight loss in a sex-specific manner

SNP

Model

Genotype

OR (95 % CI)

AIC

rs2672826

A>G

COL23A1

Co-dominant

G/G

G/A

A/A

1.00

3.94 (1.28–12.10)*

0.72 (0.10–5.25)

206.4

 

Dominant

G/G

G/A–A/A

1.00

2.86 (1.10–7.49)*

206.6

 

Recessive

G/G–G/A

A/A

1.00

0.59 (0.08–4.33)

211.6

rs12589592

G>A

FBLN5

Co-dominant

G/G

G/A

A/A

1.00

2.26 (1.15–4.46)*

13.00 (1.61–104.81)*

202.7

 

Dominant

G/G

G/A–A/A

1.00

2.71 (1.40–5.25)*

204.8

 

Recessive

G/G–G/A

A/A

1.00

8.67 (1.10–68.06)*

206.4

rs2158836

A>G

LAMB1

Co-dominant

G/G

G/A

A/A

1.00

1.27 (0.64–2.51)

18.43 (2.35–144.63)*

199.3

 

Dominant

G/G

G/A–A/A

1.00

1.89 (0.98–3.62)*

210.1

 

Recessive

G/G–G/A

A/A

1.00

16.36 (2.14–124.9)*

197.8

rs7323378

T>C

POSTN

Co-dominant

T/T

T/C

C/C

1.00

4.01 (1.85–8.67)

8.25 (2.85–23.88)*

192.6

 

Dominant

T/T

T/C–C/C

1.00

4.88 (2.35–10.16)*

192.7

 

Recessive

T/T–T/C

C/C

1.00

3.54 (1.37–9.14)*

203.6

rs17516906

A>G

FN1

Co-dominant

G/G

A/G

A/A

1.00

0.00 (NA)

0.00 (NA)

409.0

 

Dominant

G/G

A/G–A/A

1.00

0.00 (NA)

412.8

 

Recessive

G/G–A/G

A/A

1.00

2.81 (1.40–5.63)*

410.7

  1. Odds ratio, 95 % confidence interval, Akaike information criterion (AIC), and P values were retrieved from logistic regression analyses with the co-dominant, dominant, and recessive models. The best-fitting model has the lowest AIC, and this value is at least 2 lower than the other models. P values <0.05 are considered significant (*)
  2. OR odds ratio, CI confidence interval, NA not available