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Table 2 Linear regression analyses testing lipid polygenic risk score (PRS) as a predictor of its corresponding lipid level, in a univariable model and in a multivariable model accounting for phenotypic, batch, and ancestry variables

From: Polygenic risk for triglyceride levels in the presence of a high impact rare variant

 

TG (n = 149)a

HDLC (n = 150)

LDLC (n = 148)b

TC (n = 151)b

beta

std error

p

beta

std error

p

beta

std error

p

beta

std error

p

Univariable model

 PRS (for the lipid level assessed)

0.2403

0.0803

0.0032

0.4579

0.0737

5.00E-09

0.2403

0.0805

0.0034

0.2262

0.0809

0.0058

Multivariable model

 PRS (for the lipid level assessed)

0.3133

0.0804

1.52E-04

0.3818

0.0667

6.28E-08

0.2524

0.0839

0.0031

0.2494

0.0851

0.0040

 Female sex

-0.2633

0.0771

8.36E-04

0.3980

0.0669

2.17E-08

0.0717

0.0862

0.4067

0.0818

0.0853

0.3392

 Age

0.0019

0.0849

0.9820

0.0602

0.0721

0.4050

0.0777

0.0940

0.4099

0.1237

0.0939

0.1899

 BMI (kg/m2)

0.2944

0.0803

3.51E-04

-0.3009

0.0673

1.61E-05

0.1013

0.0881

0.2522

0.1040

0.0881

0.2398

 T2D

-0.0642

0.0819

0.4343

0.0590

0.0697

0.3990

-0.0328

0.0928

0.7247

-0.0001

0.0908

0.9989

 Psychotic illnessc

0.0472

0.0792

0.5527

-0.0025

0.0669

0.9710

0.0347

0.0885

0.6957

0.0068

0.0870

0.9380

 Originating ascertainment cohort

-0.0676

0.1559

0.6654

0.1313

0.1329

0.3250

0.0608

0.1727

0.7255

-0.0471

0.1728

0.7857

 Sequencing platform

0.1972

0.1230

0.1112

-0.1072

0.1047

0.3080

-0.0629

0.1388

0.6512

0.0402

0.1369

0.7697

 Ancestry PC1

-0.0827

0.0787

0.2953

0.0078

0.0663

0.9060

-0.0659

0.0870

0.4503

-0.0476

0.0870

0.5852

 Ancestry PC2

-0.1035

0.0989

0.2970

0.1073

0.0823

0.1950

0.0811

0.1073

0.4509

0.0823

0.1072

0.4439

 Ancestry PC3

0.1311

0.1407

0.3532

-0.0049

0.1195

0.9680

-0.0847

0.1555

0.5868

-0.1042

0.1557

0.5043

 Ancestry PC4

0.0366

0.0853

0.6687

-0.0755

0.0730

0.3030

-0.0808

0.0942

0.3926

-0.1176

0.0944

0.2151

 

R2

p

R2

p

R2

p

R2

p

Model

0.2471

7.26E-05

0.4565

2.46E-13

0.0914

0.3400

0.0909

0.3258

 

ΔR2

ΔR2

ΔR2

ΔR2

PRS variable

0.0843

0.1302

0.0647

0.0630

  1. Beta coefficients are standardized with positive values indicating a positive association between higher lipid levels and female sex, older age, higher BMI, having type 2 diabetes, having a psychotic illness, belonging to the TCAG sequencing project cohort, sequenced using a HiSeq X, and higher value for PC (and thus a negative beta value indicates a negative association for that variable, i.e., lower lipid level)
  2. ΔR2, here an estimate of the variance in each lipid level explained by the PRS, is calculated by subtracting the R2 of the multivariable model without the PRS variable (i.e., using all remaining phenotypic, batch, and ancestry variables) from the R2 of the full model
  3. TG Triglyceride, LDLC Low density lipoprotein cholesterol, HDLC High density lipoprotein cholesterol, TC Total cholesterol, BMI Body mass index, T2D Type 2 diabetes, PC Principal component for ancestry
  4. Bold font indicates statistical significance
  5. aExcluded one individual on fibrate treatment. Triglyceride levels were natural log transformed to approximate a normal distribution
  6. bFor individuals on statin medications, LDLC and TC levels were divided by 0.7 and 0.8, respectively, as in previous studies [8, 9, 32]
  7. cDefined as schizophrenia or schizoaffective disorder