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Table 2 Summary statistics of variant-level data for the eMERGE participants by effect prediction, whether coding with high/moderate impact and lower impact

From: Prospective participant selection and ranking to maximize actionable pharmacogenetic variants and discovery in the eMERGE Network

Impact

Other

High/Moderate

Combined

 

(N=1253)

(N=532)

(N=1785)

Variant Function

3-prime-UTR

26 %(328)

0 %(0)

18 %(328)

5-prime-UTR

6 %(71)

0 %(0)

4 %(71)

intron

30 %(377)

0 %(0)

21 %(377)

intron-near-splice

2 %(19)

0 %(0)

1 %(19)

missense

0 %(3)

95 %(506)

29 %(509)

missense-near-splice

0 %(0)

2 %(10)

1 %(10)

non-coding-exon

0 %(3)

0 %(0)

0 %(3)

splice-acceptor

0 %(0)

1 %(3)

0 %(3)

splice-donor

0 %(0)

0 %(2)

0 %(2)

stop-gained

0 %(0)

2 %(11)

1 %(11)

synonymous

36 %(451)

0 %(0)

25 %(451)

synonymous-near-splice

0 %(1)

0 %(0)

0 %(1)

Prior rsID

67 %(836)

71 %(376)

68 %(1212)

Prior Clinical Association

6 %(72)

18 %(96)

9 %(168)

OMIM

0 %(6)

1 %(3)

1 %(9)

ClinVar

1 %(12)

3 %(17)

2 %(29)

HGMD

2 %(23)

30 %(157)

10 %(180)

Gene List

ABCA1

9 %(114)

8 %(44)

9 %(158)

ABCB1

5 %(63)

6 %(32)

5 %(95)

APOA1

0 %(4)

1 %(6)

1 %(10)

CACNA1S

4 %(55)

9 %(46)

6 %(101)

CYP2C19

2 %(29)

3 %(18)

3 %(47)

CYP2C9

4 %(45)

4 %(19)

4 %(64)

CYP2D6

11 %(139)

10 %(54)

11 %(193)

CYP3A4

4 %(45)

2 %(8)

3 %(53)

CYP3A5

0 %(3)

0 %(0)

0 %(3)

DPYD

4 %(50)

5 %(24)

4 %(74)

HMGCR

5 %(59)

1 %(6)

4 %(65)

KCNH2

7 %(82)

4 %(19)

6 %(101)

LDLR

7 %(84)

3 %(16)

6 %(100)

NAT2

1 %(8)

2 %(13)

1 %(21)

RYR1

11 %(139)

19 %(102)

14 %(241)

RYR2

12 %(149)

8 %(41)

11 %(190)

SCN5A

8 %(98)

8 %(45)

8 %(143)

SLCO1B1

2 %(20)

5 %(25)

3 %(45)

TPMT

3 %(40)

2 %(8)

3 %(48)

VKORC1

2 %(27)

1 %(6)

2 %(33)

Average Depth

295/401/473

347/436/499

308/413/480

GERP

−3.44/−0.47/1.61

2.01/3.90/4.82

−2.31/0.49/3.50

CADD

2.12/5.37/8.66

10.34/14.36/18.59

3.10/7.28/11.70

  1. Effect prediction details can be found on the SnpEff web site (Web Resources). In general, single nucleotide variants, structural variation, and copy number variation annotated as having high or moderate impact modify the coding and/or splice regions of a given gene. For the continuous variables average depth, GERP, and CADD, the three numbers represent quartiles of the distributions (25th,50th, and 75th)