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Table 2 Predicting the effects of PALB2 missense variants on protein function using three in silico methods.

From: Prevalence of PALB2 mutations in Australasian multiple-case breast cancer families

Nucleotide change

Protein change

Carrier frequency (%)

SIFT a

Align GVGD b

Polyphen c

c.90G>T

p.Lys30Asn

1 (0.1)

Affect protein function; P = 0.04

Class C0

Probably damaging 0.999

c.94C>G

p.Leu32Val

1 (0.1)

Tolerated; P = 0.37

Class C0

Probably damaging 1.000

c.596A>G

p.Asp219Gly

1 (0.1)

Tolerated; P = 0.65

Class C0

Benign 0.000

c.956C>A

p.Ser319Tyr

1 (0.1)

Tolerated; P = 0.91

Class C0

Possibly damaging 0.589

c.1010T>C

p.Leu337Ser

25 (3.3)

Tolerated; P = 0.59

Class C0

Benign 0.291

c.1475G>T

p.Gly492Val

1 (0.1)

Tolerated; P = 0.17

Class C0

Benign 0.161

c.1676A>G

p.Gln559Arg

72 (9.6)

Tolerated; P = 0.57

Class C0

Benign 0.000

c.2014G>C

p.Glu672Gln

51 (6.8)

Tolerated; P = 0.48

Class C0

Benign 0.225

c.2590C>T

p.Pro864Ser

1 (0.1)

Tolerated; P = 0.68

Class C0

Possibly damaging 0.578

c.2993G>A *

p.Gly998Glu

17 (0.9)

Affect protein function; p = 0.00

Class C65

Probably damaging 1.000

  1. *Predicted to affect protein function by all three programs. aKumar et al.(2009) [24]; Ng et al (2003) [25]. bTavtigian et al. (2006) [27]; Mathe et al. (2006) [28]; Tavtigian et al. (2008) [29]. cAdzhubei et al. (2010) [31].