Table 1 Catalogue of Dataset used for genetic instruments.

From: Appraising the role of circulating concentrations of micro-nutrients in epithelial ovarian cancer risk: A Mendelian randomization analysis

Exposures

GWAS

Race

Number of SNPs availablea

Number of SNPs usedb

% of variance explained

Sample Size

F-statistic

Iron (Fe)

Benyamin et al.43

Europeans

5

3†

3.4

48,972

345

Copper (Cu)

Evans et al.44

Australians

2

2

5

2,603

68

Zinc (Zn)

Evans et al.44

Australians

3

3

8

2,603

75

Calcium (Ca)

O’Seaghdha et al.45

Europeans

7

7

0.9

61,054

79

Magnesium (Mg)

Meyer et al.40

Europeans

5

5

1.6

15,366

50

Phosphorus (P)

Kestenbaum et al.46

Europeans

4

4

1.5

16,264

62

Selenium (Se)

Evans et al.44

Australians, British

2

2

4

5,477

114

Vitamin A (Vit A)

Mondul et al.47

Caucasians

2

2

2.3

8,902

105

β-carotene

Ferrucci et al.48

Europeans

4

4

4.5

3,918

46

Vitamin B6 (Vit B6)

Tanaka et al.49

Europeans

1

1

1

1,864

19

Vitamin B12 (Vit B12)

Grarup et al.26

Europeans

15

14

6.3

45,575

204

Vitamin E (Vit E)

Major et al.50

Europeans

3

3

1.7

5,006

29

Folate

Grarup et al.26

Europeans

3

3

1

37,465

126

  1. aCorresponds to the number of SNPs available at the genome-wide significance level (P < 5 × 10−8).
  2. bCorresponds to the number of SNPs (or linkage disequilibrium proxies) available in ovarian cancer datasets.
  3. †For serum iron, three out of the five available genome-wide significant SNPs were used, because these SNPs showed a concordant effect on serum iron, ferritin, transferrin and transferrin saturation.
  4. GWAS, genome-wide association study; SNP, single nucleotide polymorphism.
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