Table 1 Genes in 51 CAD-associated loci (±250 kb around the lead SNP) proposed to be causal according to different lines of evidence.

From: Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies

 

Lead SNP¥

Chr: position*

Nearest known gene

Genes prioritized by SMR/HEIDI

Candidate genes from literature**

Genes prioritized previously based on bioinformatics approaches46,47,48 and found in gene-based association analysis49

Conclusion

1

rs17114036

1: 56 962 821

PLPP3 (PAP2B, PPAP2B)

PLPP3 (PAP2B, PPAP2B)

Lempiäinen et al.47, score range 2-54

PLPP3 (PAP2B) (total score = 10)

Svishcheva et al.49

PLPP3 (PAP2B) (two datasets)

PLPP3 (PAP2B) is the causal gene.

2

rs602633

1: 109 821 511

PSRC1

PSRC1

CELSR2

PSMA5

SORT1

PSRC1

CELSR2

Brænne et al.46, score range 1-11

CELSR2 (total score = 5)

SORT1 (total score = 4) ←

PSRC1 (total score = 4) ←

MYBPHL (total score = 2)

Lempiäinen et al.47, score range 2-54

CELSR2 (total score = 10) ←

van der Harst et al.48

SORT1

CELSR2

PSRC1

SARS

ATXN7L2

Svishcheva et al.49

CELSR2 (two datasets)

SORT1 is the causal gene.

PSRC1 and CELSR2 might also be involved.

3

rs4129267

1: 154 426 264

IL6R

IL6R , ← ←

IL6R

Brænne et al.46, score range 1-11

IL6R (total score = 5)

UBAP2L (total score = 2)

ATP8B2 (total score = 2)

CHTOP (total score = 1)

Lempiäinen et al.47, score range 2-54

IL6R (total score = 10) , ← ←

IL6R is the causal gene.

4

rs10919065

1: 169 093 557

ATP1B1

ATP1B1 ← ←

NME7 , ← ←

ATP1B1

Brænne et al.46, score range 1-11

ATP1B1 (total score = 4)

NME7 (total score = 2)

CCDC181 (total score = 1)

ATP1B1 is the most likely causal gene.

5

rs6700559

1: 200 646 073

DDX59-AS1

DDX59-AS1 (RP11-92G12.3)

DDX59

CAMSAP2 (CAMSAP1L1)

Brænne et al.46, score range 1-11

KIF14 (total score = 4)

CAMSAP2 (total score = 2)

DDX59 (total score = 2)

van der Harst et al.48

CAMSAP2

DDX59

Evidence is inconsistent.

6

rs2820315

1: 201 872 264

LMOD1

IPO9

LMOD1

LMOD1

Brænne et al.46, score range 1-11

IPO9 (total score = 4)

LMOD1 (total score = 2)

SHISA4 (total score = 1)

Lempiäinen et al.47, score range 2-54

IPO9 (total score = 10)

Evidence is inconsistent. LMOD1 and IPO9 can be involved.

7

rs16986953

2: 19 942 473

LINC00954

No evidence.

8

rs515135

2: 21 286 057

APOB

APOB

Lempiäinen et al.47, score range 2-54

APOB (total score = 32)

Svishcheva et al.49

APOB (one dataset)

APOB is the causal gene.

9

rs6544713

2: 44 073 881

ABCG8

ABCG8

ABCG5

Lempiäinen et al.47, score range 2-54

ABCG8 (total score = 34)

Svishcheva et al.49

ABCG8 (two datasets)

ABCG8/ABCG5 are the causal genes.

10

rs1561198

2: 85 809 989

VAMP8

GGCX

VAMP5

VAMP8

USP39

GNLY

GGCX

VAMP8

Brænne et al.46, score range 1-11

GGCX (total score = 5)

VAMP5 (total score = 5)

VAMP8 (total score = 5)

Lempiäinen et al.47, score range 2-54

VAMP8 (total score = 42)

Svishcheva et al.49

MAT2A (one dataset)

GGCX (one dataset)

VAMP5 (one dataset)

Evidence is inconsistent.

11

rs2252641

2: 145 801 461

TEX41

ZEB2

Lempiäinen et al.47, score range 2-54

TEX41 (total score = 2)

Evidence is inconsistent.

12

rs2351524

2: 203 880 992

NBEAL1

ICA1L

CARF

NBEAL1

FAM117B

WDR12

Brænne et al.46, score range 1-11

NBEAL1 (total score = 4)

WDR12 (total score = 4)

CARF (total score = 3)

ALS2CR8 (total score = 2)

ICA1L (total score = 1)

Lempiäinen et al.47, score range 2-54

ICA1L (total score = 10)

Svishcheva et al.49

NBEAL1 (two datasets)

WDR12 (two datasets)

Evidence is inconsistent.

13

rs2306374

3: 138 119 952

MRAS

MRAS

NME9

ESYT3

MRAS

Brænne et al.46, score range 1-11

MRAS (total score = 5)

CEP70 (total score = 2)

Lempiäinen et al.47, score range 2-54

MRAS (total score = 34)

Svishcheva et al.49

MRAS (one dataset)

MRAS is the causal gene.

14

rs1429141

4: 148 288 067

MIR548G

EDNRA (ETA)

Lempiäinen et al.47, score range 2-54

EDNRA (ETA) (total score = 34)

Svishcheva et al.49

EDNRA (ETA) (one dataset)

EDNRA is the causal gene.

15

rs7692387

4: 156 635 309

GUCY1A1

GUCY1A3

GUCY1A3

Lempiäinen et al.47, score range 2-54

GUCY1A3 (total score = 42)

GUCY1A3 is the causal gene.

16

rs273909

5: 131 667 353

SLC22A4

MIR3936HG

Lempiäinen et al.47, score range 2-54

SLC22A5 (total score = 10)

Insufficient evidence.

17

rs246600

5: 142 516 897

ARHGAP26

van der Harst et al.48

HMHB1

Insufficient evidence.

18

rs7751826

6: 12 900 977

PHACTR1

RP1-257A7.5

RP1-257A7.4

PHACTR1

PHACTR1

Lempiäinen et al.47, score range 2-54

PHACTR1 (total score = 2) ←, ← ←

van der Harst et al.48

EDN1 ← ←

TBC1D7 ← ←

PHACTR1 ← ←

GFOD1 ← ←

Svishcheva et al.49

PHACTR1 (two datasets)

PHACTR1 is the causal gene.

19

rs10947789

6: 39 174 922

KCNK5

Lempiäinen et al.47, score range 2-54

KCNK5 (total score = 2)

Insufficient evidence.

20

rs2327429

6: 134 209 837

TARID

TCF21

RP3-323P13.2

RP1-283K11.3

TCF21

Lempiäinen et al.47, score range 2-54

TCF21 (total score = 10)

TCF21 is the causal gene.

RP3-323P13.2 might also be involved.

21

rs3103349#

6: 160 740 721

SLC22A3

LPA

LPA (APOA)

Brænne et al.46, score range 1-11

SLC22A3 (total score = 5) ← ←

AL591069.5 (total score = 1) ← ←

Lempiäinen et al.47, score range 2-54

LPA (total score = 54)

LPAL2 pseudogene (total score = 10) ← ←

IGF2R (total score = 2)

SLC22A2 (total score = 2)

SLC22A3 (total score = 2)

Svishcheva et al.49

LPA (two datasets)

SLC22A1 (two datasets)

SLC22A2 (two datasets)

SLC22A3 (two datasets)

IGF2R (one dataset)

LPA is the causal gene.

SLC22A3, SLC22A2, SLC22A1 might also be involved.

22

rs10455872#

6: 161 010 118

LPA

LPA ← ←

LPA (APOA)

Brænne et al.46, score range 1-11

PLG (total score = 6)

SLC22A3 (total score = 5) ← ←

LPAL2 pseudogene (total score = 4)

AL591069.5 (total score = 1) ← ←

Lempiäinen et al.47, score range 2-54

LPA (total score = 54)

PLG (total score = 46)

LPAL2 pseudogene (total score = 10) ← ←

SLC22A3 (total score = 2)

Svishcheva et al.49

SLC22A3 (two datasets)

LPA (two datasets)

PLG (two datasets)

LPA is the causal gene.

PLG and SLC22A3 might also be involved.

23

rs11556924

7: 129 663 496

ZC3HC1(NIPA)

KLHDC10

KLHDC10

ZC3HC1 (NIPA)

Brænne et al.46, score range 1-11

ZC3HC1 (NIPA) (total score = 4)

Lempiäinen et al.47, score range 2-54

ZC3HC1 (NIPA) (total score = 22)

van der Harst et al.48

ZC3HC1

NRF1

KLF14

Svishcheva et al.49

ZC3HC1 (one dataset)

ZC3HC1 (NIPA) is the most likely causal gene.

KLHDC10 might also be involved.

24

rs10237377

7: 139 757 136

PARP12

TBXAS1

Brænne et al.46, score range 1-11

TBXAS1 (total score = 5)

Lempiäinen et al.47, score range 2-54

PARP12 (total score = 10)

TBXAS1 (total score = 10)

TBXAS1 is the most likely causal gene.

25

rs11204085

8: 19 940 796

SLC18A1

LPL

LPL

Brænne et al.46, score range 1-11

LPL (total score = 8)

Lempiäinen et al.47, score range 2-54

LPL (total score = 42)

Svishcheva et al.49

LPL (one dataset)

LPL is the causal gene.

26

rs2954032

8: 126 493 392

TRIB1

TRIB1

TRIB1 is the causal gene.

27

rs3218020

9: 21 997 872

CDKN2B-AS1 (ANRIL)

CDKN2B-AS1 (ANRIL)

Brænne et al.46, score range 1-11

CDKN2B (total score = 8) ←, ← ←

CDKN2A (total score = 5)

Lempiäinen et al.47, score range 2-54

CDKN2B (total score = 9)

CDKN2B-AS1 (total score = 2) ← ←

van der Harst et al.48

CDKN2B ← ← ←

MTAP← ← ←

Svishcheva et al.49

CDKN2B (two datasets)

CDKN2A (two datasets)

MTAP (one dataset)

CDKN2B-AS1 is the causal gene, which regulates CDKN2B and CDKN2A expression.

28

rs579459

9: 136 154 168

ABO

SURF1

ABO

ABO

ADAMTS13

Lempiäinen et al.47, score range 2-54

DDX31 (total score = 8)

SURF1 (total score = 8)

SURF6 (total score = 8)

Svishcheva et al.49

ABO (one dataset)

ADAMTS13 (one dataset)

Evidence is inconsistent.

29

rs2505083

10: 30 335 122

JCAD

(KIAA1462)

JCAD (KIAA1462)

JCAD (KIAA1462)

Brænne et al.46, score range 1-11

JCAD (KIAA1462) (total score = 6)

Lempiäinen et al.47, score range 2-54

JCAD (KIAA1462) (total score = 6)

Svishcheva et al.49

JCAD (KIAA1462) (one dataset)

JCAD is the causal gene.

30

rs10793513

10: 44 494 546

LINC00841

No evidence.

31

rs523297

10: 44 756 557

CXCL12

CXCL12

CXCL12 is the causal gene.

32

rs2246833

10: 91 005 854

LIPA

LIPA

IFIT1

IFIT5

LIPA

Brænne et al.46, score range 1-11

LIPA (total score = 9)

Lempiäinen et al.47, score range 2-54

LIPA (total score = 46)

Svishcheva et al.49

LIPA (one dataset)

LIPA is the causal gene.

33

rs11191447

10: 104 652 323

BORCS7-ASMT

AS3MT

TMEM180 (MFSD13A)

ARL3

NT5C2

MARCKSL1P1 pseudogene

CYP17A1

Brænne et al.46, score range 1-11

NT5C2 (total score = 5)

CNNM2 (total score = 4)

Lempiäinen et al.47, score range 2-54

CYP17A1 (total score = 34)

Svishcheva et al.49

CYP17A1 (one dataset)

CNNM2 (one dataset)

AS3MT (one dataset)

CYP17A1 is the most likely causal gene.

34

rs12801636

11: 65 391 317

PCNX3

SIPA1

MAP3K11

CTSW ← ←

FIBP ← ←

RELA

Brænne et al.46, score range 1-11

RELA (total score = 6)

SIPA1 (total score = 4)

OVOL1 (total score = 2)

PCNXL3 (total score = 1)

Lempiäinen et al.47, score range 2-54

RELA (total score = 40)

van der Harst et al.48

EHBP1L1

Evidence is inconsistent.

35

rs974819

11: 103 660 567

MIR4693

PDGFD

RP11-563P16.1

PDGFD

van der Harst et al.48

PDGFD

PDGFD is the causal gene.

36

rs3184504§

12: 111 884 608

SH2B3 (LNK)

SH2B3 ← ←

TMEM116

ALDH2

MAPKAPK5

RP3-462E2.3

SH2B3 (LNK)

ATXN2

Brænne et al.46, score range 1-11

SH2B3 (total score = 5) ← ←

ATXN2 (total score = 4) ← ←

FLJ21127 (total score = 1) ← ←

Lempiäinen et al.47, score range 2-54

SH2B3 (total score = 14) ← ←

Svishcheva et al.49

ATXN2 (two datasets)

SH2B3 (one dataset)

SH2B3 is the most likely causal gene.

ATXN2 might also be involved.

37

rs441§

12: 112 228 849

ALDH2

TMEM116

ERP29

SH2B3

ALDH2

MAPKAPK5

ATXN2

ALDH2

MAPKAPK5

Brænne et al.46, score range 1-11

ALDH2 (total score = 6)

SH2B3 (total score = 5)

TMEM116 (total score = 4)

BRAP (total score = 4)

MAPKAPK5 (total score = 4)

HECTD4 (total score = 2)

C12ORF30 (total score = 2)

Svishcheva et al.49

ATXN2 (two datasets)

TMEM116 (one dataset)

NAA25 (one dataset)

Evidence is inconsistent.

38

rs2258287

12: 121 454 313

C12ORF43

OASL

C12ORF43

COQ5

HNF1A

Brænne et al.46, score range 1-11

HNF1A (total score = 4) ← ←

Lempiäinen et al.47, score range 2-54

C12ORF43 (total score = 8) ← ←

HNF1A is the most likely causal gene.

39

rs11057830

12: 125 307 053

SCARB1

SCARB1

Brænne et al.46, score range 1-11

SCARB1 (total score = 6)

Lempiäinen et al.47, score range 2-54

SCARB1 (total score = 34)

DHX37 (total score = 2)

Svishcheva et al.49

SCARB1 (one dataset)

SCARB1 is the causal gene.

40

rs9319428

13: 28 973 621

FLT1 (VEGFR1)

FLT1 (VEGFR1)

Lempiäinen et al.47, score range 2-54

FLT1 (total score = 34)

FLT1 is the causal gene.

41

rs9515203

13: 111 049 623

COL4A2

COL4A2, COL4A1

Brænne et al.46, score range 1-11

IRS2 (total score = 4)

Lempiäinen et al.47, score 2-54

ANKRD10 (total score = 8)

COL4A1 (total score = 2) ← ←

COL4A2 (total score = 2) ←, ← ←

Svishcheva et al.49

COL4A2 (two datasets)

COL4A1 (one dataset)

COL4A2 and COL4A1 are the causal genes.

42

rs2895811

14: 100 133 942

HHIPL1

 

HHIPL1

Brænne et al.46, score range 1-11

YY1 (total score = 6)

EML1 (total score = 2)

Lempiäinen et al.47, score 2-54

HHIPL1 (total score = 6)

HHIPL1 is the most likely causal gene.

43

rs7178051

15: 79 118 296

ADAMTS7

ADAMTS7

CTSH

RP11-160C18.2 pseudogene

MORF4L1

ADAMTS7

Brænne et al.46, score range 1-11

ADAMTS7 (total score = 7) ← ←, ← ← ←

WDR61 (total score = 2) ← ←

Lempiäinen et al.47, score range 2-54

ADAMTS7 (total score = 38) ← ← ←

CTSH (total score = 8)

van der Harst et al.48

ADAMTS7 ← ← ← ←

RASGRF1 ← ← ← ←

Svishcheva et al.49

ADAMTS7 (two datasets)

ADAMTS7 is the causal gene.

44

rs17514846

15: 91 416 550

FURIN

FURIN

FES

MAN2A2

FURIN

Brænne et al.46, score range 1-11

FURIN (total score = 8)

FES (total score = 7)

MAN2A2 (total score = 3)

Lempiäinen et al.47, score range 2-54

FURIN (total score = 10)

FES (total score = 10)

Svishcheva et al.49

FURIN (two datasets)

FES (one dataset)

FURIN is the causal gene.

FES might also be involved.

45

rs1050362

16: 72 130 815

DHX38

HP

DHX38

DHODH

PKD1L3

HP

Svishcheva et al.49

HPR (one dataset)

HP is the most likely causal gene.

46

rs170041

17: 2 170 216

SMG6

SMG6

SRR

Lempiäinen et al.47, score range 2-54

SRR (total score = 8)

Svishcheva et al.49

SMG6 (two datasets)

Evidence is inconsistent.

47

rs12936587

17: 17 543 722

RAI1

SREBF1 (SREBP1)

PEMT

PEMT

SREBF1 (SREBP1)

MIR33B (hsa-mir-33b)

Lempiäinen et al.47, score range 2-54

SREBF1 (total score = 40)

PEMT (total score = 40)

Evidence is inconsistent. PEMT, SREBF1, and MIR33B can be involved.

48

rs2070783

17: 62 406 971

PECAM1

PECAM1

PECAM1

Brænne et al.46, score range 1-11

PECAM1 (total score = 4)

POLG2 (total score = 3)

PECAM1 is the causal gene.

49

rs12052058

19: 11 159 525

SMARCA4

SMARCA4

CARM1

C19ORF52

KANK2

LDLR

SMARCA4

CARM1

Brænne et al.46, score range 1-11

KANK2 (total score = 5) ← ←

SMARCA4 (total score = 4)

ANKRD25 (total score = 2) ← ←

Lempiäinen et al.47, score range 2-54

LDLR (total score = 35)

CARM1 (total score = 40) ←, ← ← ←

SMARCA4 (total score = 40) ←, ← ← ←

C19ORF38 (total score = 10) ← ← ←

Svishcheva et al.49

LDLR (two datasets)

SMARCA4 (one dataset)

LDLR is the causal gene.

SMARCA4 and CARM1 might also be involved.

50

rs867186

20: 33 764 554

PROCR,

MMP24-AS1-EDEM2

TRPC4AP

EIF6

ITGB4BP

EDEM2 ← ←

HS.443185 ← ←

PROCR (EPCR)

Brænne et al.46, score range 1-11

PROCR (total score = 8)

MYH7B (total score = 5)

TRPC4AP (total score = 3)

EIF6 (total score = 3)

RBL1 (total score = 3)

ROMO1 (total score = 2)

ITGB4BP (total score = 2)

FLJ25841 (total score = 1)

MT1P3 (total score = 1)

van der Harst et al.48

PROCR

TRPC4AP

GGT7

EDEM2

NCOA6

HMGB3P1

PROCR is the most likely causal gene.

51

rs9982601

21: 35 599 128

LINC00310

MRPS6

KCNE2

KCNE2 (MIRP1)

Lempiäinen et al.47, score range 2-54

SON (total score = 8)

van der Harst et al.48

MRPS6

SLC5A3

KCNE2 is the most likely causal gene.

  1. Alternative gene names or non-coding RNA names are given in parenthesis after official gene symbols. Literature overview for each candidate gene found in literature sources is provided in Supplementary Table S4. In the studies46,47,48,49, possible candidate genes were linked to the prioritized CAD-associated SNPs (data on those SNPs located in the51 studied loci can be found in Supplementary Table S3b). Arrows near gene names indicate that these genes have been linked to the same prioritized SNP in the locus or to SNPs in high LD with each other (r2 ≥ 0.8; Supplementary Table S3c). If there are two or more groups of such genes in the locus, single arrow indicates the genes linked to one SNP; double, triple, and quadruple arrows – genes linked to other SNPs (e.g., in locus 43). We also marked with arrows the genes found in SMR/HEIDI analysis if the top SNP (instrumental variable used for investigating relationships between gene expression and CAD) was the same or in high LD (r2 ≥ 0.8; Supplementary Table S3d) with SNPs prioritized in other studies.
  2. ¥Loci for the analysis in our study were defined as regions within ±250 kb around these lead SNPs (see Supplementary Table S1c).
  3. *Chromosome: position of the lead SNP on the chromosome according to GRCh37.p13
  4. Nearest gene according to the NCBI dbSNP database (https://www.ncbi.nlm.nih.gov/snp/)
  5. Information on whether increased gene expression in CAD-relevant tissue is associated with the increased or decreased CAD risk is given in Supplementary Table S2a.
  6. **Candidate genes with the most compelling evidence for their role in CAD according to literature data are shown in bold.
  7. Converging evidence of a potential functional SNP-gene mechanism (demonstrated in the study by van der Harst et al.48).
  8. #, §These pairs of loci are overlapping and contain partially the same genes. Since the distance between the lead SNPs rs3103349–rs10455872 and rs3184504–rs441 was > 250 kb (269,4 kb and 344,2 kb, respectively), SMR/HEIDI analysis was performed for each locus (±250 kb around the lead SNP) separately. The genes prioritized based on literature data and revealed in the gene-based association analysis49, if located in two loci in the pair, were attributed to both. Similarly, if the CAD-associated SNPs prioritized in the studies by Brænne et al.46, Lempiäinen et al.47, and van der Harst et al.48 were located in two loci in the pair, we attributed the genes linked with these SNPs to both loci.