Table 4 Association results between 14 traits and their corresponding top SNPs, where top SNPs were selected based on multi-study meta-analyses, and z-statistics for Average and SHAVE are based on three visits and results of SardiNIA GWAS

From: SHAVE: shrinkage estimator measured for multiple visits increases power in GWAS of quantitative traits

TRAIT

SNP

z1

z2

z AVG

z SHAVE

Visit 1

Visit 2

Average

SHAVE

Bilirubin

rs887829

27.33

27.37

31.44

31.59

4

3

2

1

Cholesterol

rs646776*

−4.76

−4.20

−4.68

−4.76

1

4

3

2

γ-GT

rs7310409

−6.29

−6.52

−6.53

−6.69

4

3

2

1

Glycemia

rs10830963

6.32

6.34

7.38

7.50

4

3

2

1

HDL

rs247617

8.45

8.93

10.10

10.19

4

3

2

1

Height

rs724016

5.02

4.25

5.26

5.24

3

4

1

2

LDL

rs646776*

−5.39

−5.14

−5.69

−5.76

3

4

2

1

PR-interval

rs6800541

6.56

5.92

7.10

7.11

3

4

2

1

QT-interval

rs7550692*

5.89

4.36

6.66

6.55

3

4

1

2

RBC

rs4910742

23.39

22.19

24.16

24.26

3

4

2

1

Serum iron

rs4820268

8.77

7.52

10.43

10.66

3

4

2

1

Transferrin

rs4854761*

9.58

13.04

14.96

15.40

4

3

2

1

Triglycerides

rs1260326

5.12

4.75

5.92

5.95

3

4

2

1

Uric acid

rs9998811*

−11.58

−12.44

−13.61

−13.87

4

3

2

1

Average rank

3.29

3.57

1.93

1.21

  1. The z-statistics are shown in order for visit 1 (z1), visit 2 (z2), Average (zAVG) and SHAVE (zSHAVE). In the next four columns their corresponding ranks within each trait are shown, where 1 is assigned to the most significant and 4 to the least. On the last row, we have the averages of the ranks for each metric. *The original SNPs (which were replaced by proxy SNPs from the Metabochip) are: cholesterol (total) rs629301 (R2=1.00), LDL rs629301 (R2=1.00), QT-interval rs2880058(R2=0.92), transferrin rs3811647(R2=0.96) and uric acid rs734553(R2=0.80).
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