Skip to main content

Table 3 The 10 most significant features selected for the disease model and the three quantitative traits when rare variants are collapsed using the proportion collapsing method

From: Detecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data

Feature

Q1

Q2

Q4

Disease

1

Age (200)

C6S5380 (108)

Sex (200)

Age (200)

2

Smoke (200)

C6S5441 (51)

Age (200)

Smoke (180)

3

FLT1 (n) (200)

PDGFD (n) (50)

Smoke (200)

C13S523 (39)

4

C13S523 (200)

LPL (n) (38)

C1ORF122 (s) (8)

FLT1 (n) (25)

5

KDR (n) (175)

VLDLR (n) (32)

C3S4667 (8)

PTK7 (s) (16)

6

C4S1878 (76)

BCHE (n) (31)

FLJ16793 (s) (8)

ADCY5 (s) (12)

7

ARNT (n) (72)

SIRT1 (n) (28)

RY1 (s) (8)

HOXD11 (s) (12)

8

MAP2K7 (s) (62)

TXNL1 (n) (24)

ACOX3 (s) (7)

TFDP1 (s) (12)

9

NT5C2 (s) (50)

RARB (n) (24)

OR13A1 (s) (7)

OR8D4 (s) (11)

10

FOXO3 (s) (35)

C9S3419 (22)

C14S697 (7)

CCNT1 (s) (11)

  1. Numbers following each feature name are the numbers of replicates that have nonzero coefficients in the fitted model. Common variants have their original name. Gene names followed by (s) stand for the collapsed synonymous rare variants in the gene, and those followed by (n) stand for the collapsed nonsynonymous rare variants in the gene.