Table 2

VWF missense variants associated with VWF antigen and/or FVIII coagulant activity in AAs

Variant (chromosome/BP)Rs numberAnnotationEAF AAEAF EA*Imputation quality (Rsq)Functional predictionNVWF β (SE)Ln(VWF) β (SE)Ln(VWF) P valueNFVIII β (SE)Ln(FVIII) β (SE)Ln(FVIII) P value
chr12:6153534 1063856 Thr789Ala 0.58 0.3600 1.00 Benign 2976 8.62 (1.56) 0.0664 (0.0109) 1.05E-09 4432 7.22 (1.36) 0.0377 (0.0078) 1.24E-06 
chr12:6145649 57950734 His817Gln 0.11 0.0003 0.97 Deleterious 2976 −4.74 (2.57) −0.0317 (0.018) .078 4432 −17.8 (2.23) 0.1205 (0.0127) 1.77E-21 
chr12:6128446 11063988 Ile1380Val 0.11 0.00035 0.82 Benign 2934 6.33 (2.71) 0.059 (0.0188) .0017 4360 9.39 (2.42) −0.0641 (0.0137) 2.74E-06 
chr12:6128280 11063987 Asn1435Ser 0.11 0.00023 0.85 Benign 2976 6.05 (2.50) 0.0555 (0.0186) .0028 4432 9.72 (2.41) 0.0647 (0.0135) 1.71E-06 
chr12:6128269 150077670 Met1439Val 0.0044 <1/12000 0.90 Benign 2543 −34.5 (12.7) −0.3279 (0.0958) .00062 3838 −15.6 (11.0) −0.1186 (0.0665) .074 
chr12:6128170 1800383 Asp1472His 0.393 0.066 0.85 Benign 2976 5.48 (1.66) 0.038 (0.0125) .0010 4432 2.52 (1.50) 0.0183 (0.0095) .055 
chr12:6128127 149424724 Ser1486Leu 0.008 0.0001 0.75 Benign 2967 −40.3 (10.0) −0.3585 (0.0677) 1.18E-07 4420 −9.68 (8.84) −0.1200 (0.0494) .015 
chr12:6103072 76342212 Arg2185Gln 0.19 0.0015 0.97 Benign 2973 −13.1 (2.03) −0.1013 (0.0141) 6.24E-13 4428 −13.1 (1.78) −0.0856 (0.0101) 1.86E-17 
chr12:6094771 61750625 Arg2287Trp 0.00763 0.70 Deleterious 2976 −39.6 (9.71) −0.3064 (0.0634) 1.33E-06 4432 −15.2 (8.78) −0.1108 (0.0481) .021 
Variant (chromosome/BP)Rs numberAnnotationEAF AAEAF EA*Imputation quality (Rsq)Functional predictionNVWF β (SE)Ln(VWF) β (SE)Ln(VWF) P valueNFVIII β (SE)Ln(FVIII) β (SE)Ln(FVIII) P value
chr12:6153534 1063856 Thr789Ala 0.58 0.3600 1.00 Benign 2976 8.62 (1.56) 0.0664 (0.0109) 1.05E-09 4432 7.22 (1.36) 0.0377 (0.0078) 1.24E-06 
chr12:6145649 57950734 His817Gln 0.11 0.0003 0.97 Deleterious 2976 −4.74 (2.57) −0.0317 (0.018) .078 4432 −17.8 (2.23) 0.1205 (0.0127) 1.77E-21 
chr12:6128446 11063988 Ile1380Val 0.11 0.00035 0.82 Benign 2934 6.33 (2.71) 0.059 (0.0188) .0017 4360 9.39 (2.42) −0.0641 (0.0137) 2.74E-06 
chr12:6128280 11063987 Asn1435Ser 0.11 0.00023 0.85 Benign 2976 6.05 (2.50) 0.0555 (0.0186) .0028 4432 9.72 (2.41) 0.0647 (0.0135) 1.71E-06 
chr12:6128269 150077670 Met1439Val 0.0044 <1/12000 0.90 Benign 2543 −34.5 (12.7) −0.3279 (0.0958) .00062 3838 −15.6 (11.0) −0.1186 (0.0665) .074 
chr12:6128170 1800383 Asp1472His 0.393 0.066 0.85 Benign 2976 5.48 (1.66) 0.038 (0.0125) .0010 4432 2.52 (1.50) 0.0183 (0.0095) .055 
chr12:6128127 149424724 Ser1486Leu 0.008 0.0001 0.75 Benign 2967 −40.3 (10.0) −0.3585 (0.0677) 1.18E-07 4420 −9.68 (8.84) −0.1200 (0.0494) .015 
chr12:6103072 76342212 Arg2185Gln 0.19 0.0015 0.97 Benign 2973 −13.1 (2.03) −0.1013 (0.0141) 6.24E-13 4428 −13.1 (1.78) −0.0856 (0.0101) 1.86E-17 
chr12:6094771 61750625 Arg2287Trp 0.00763 0.70 Deleterious 2976 −39.6 (9.71) −0.3064 (0.0634) 1.33E-06 4432 −15.2 (8.78) −0.1108 (0.0481) .021 

Linear regression models were initially run with natural-log–transformed VWF and FVIII level as the dependent variable, with adjustment for age, sex, and genetic ancestry (as inferred from principal component analysis), as described under “Methods.” The β coefficient corresponds to the mean difference in natural-log–transformed VWF or FVIII between an individual carrying 1 copy of the “effect allele” compared with individuals carrying 0 copies of the effect allele. The effect allele refers to the second amino acid under “Annotation.” Effect allele frequency indicates the frequency of the effect allele in AAs and EAs. To provide more clinically relevant mean VWF or FVIII effect sizes, β coefficients and standard errors per each additional copy of the minor allele were also reported for corresponding regression models using untransformed VWF or FVIII.

BP, base pair; EAF, effect allele frequency; SE, standard error.

*

Allele frequency data in EAs from NHLBI Exome Sequencing Project (ESP) Exome Variant Server (evs.gs.washington.edu/EVS/).

Imputation quality Rsq is an estimate of the correlation between the imputed genotype and the actual genotype and serves as a measure of imputation accuracy.

Functional prediction of the potential impact of the VWF missense variant was determined using the algorithm Condel (CONsensus DELeteriousness score of nonsynonymous single nucleotide variants), as described in supplemental Methods and in supplemental Table 2.

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