Table 2 Multiple logistic regression variables of interest for the whole sample.

From: The impact of placental genomic risk for schizophrenia and birth asphyxia on brain development

Diagnosis

 

Whole sample (n = 1303)

ASPH absence (n = 1134)

ASPH presence (n = 169)

PRS*ASPH

PRS*OCs (no ASPH)

PRS*OCs

 

t

p

R2

t

p

R2

t

p

R2

t

p

t

p

t

p

PRS1

3.42

6.20E-04

0.0073

2.56

5.21E-3

0.0046

2.63

4.29E-3

0.0365

1.85

0.032

−0.14

0.886

0.73

0.466

PlacPRS1

3.03

2.50E-03

0.0056

2.18

1.48E-2

0.0033

2.38

8.61E-3

0.0292

2.1

0.018

−1.45

0.148

−0.43

0.666

NonPlacPRS1

3.34

8.40E-04

0.0068

3.42

3.07E-4

0.0082

0.29

3.85E-1

0.0004

−0.88

0.381

0.74

0.457

0.29

0.770

  1. We found a relationship between each PRS1 and case-control status (column 3). Columns 2–10 report the statistics (t and p-values and R2: Nagelkerke R2, goodness-of-fit) for the relationship between PRS1 and case-control status in the whole sample (columns 2–4) and in individuals without (columns 5–7) and with (columns 8–10) a history of birth asphyxia. Columns 11–12 report the statistics for the interaction between each PRS1 and a history of birth asphyxia (ASPH) on case-control status. Columns 13–14 shows the statistics for the interaction between PRS1 and OCs in individuals with OCs but without birth asphyxia, those 169 individuals were removed from the analysis. Columns 15–16 contain the statistics for the interaction between PRS1 and a history of obstetric complications (OCs) on case-control status. All statistics were generated using multiple logistic regression, adjusting for population stratification (10 PCs), genotype batch, age and sex. Bolded numbers represent significant p-values.
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