Deoxyribonucleic acid samples were screened for mutations in all coding exons of
ZNF469 (NM_001127464.1) and
PRMD5 (NM_018699.2) including intron–exon boundaries; further details of primers and polymerase chain reaction (PCR) conditions are provided in
Supplementary Table S1. Following column purification with HighPure PCR purification kit (Roche Diagnostic, Mannheim, Germany), the product was sequenced directly according to protocols accompanying the ABI BigDye terminator kit v3.1 (Applied Biosystems, Inc., Foster City, CA, USA). Bidirectional sequencing of amplicons was undertaken on an ABI 3700 prism genetic analyzer (Applied Biosystems, Inc). Nucleotide sequences were compared with the published
ZNF469 and
PRMD5 sequences using CodonCode Aligner (CodonCode Corporation, Centreville, MA, USA) and polymorphic variation data in electronic databases to determine pathogenicity. Thirty-one Polynesian (New Zealand Māori = 14, Samoan = 15, Tongan = 1, Niuean = 1) control individuals (62 alleles) underwent full sequencing of the coding regions of
ZNF469. A further 15 control participants with self-reported Māori ancestry had exomes sequenced at 50× depth by Illumina technology using an Agilent (Santa Clara, CA, USA) exome enrichment kit. Sequence data were aligned, analyzed, and managed as previously described.
32
To determine the frequency of the
ZNF469 variants detected in the familial cases (p.E316K, p.R2129K, p.A2475E, p.R2879H), in addition to the Polynesian controls, a further 70 New Zealand European controls (140 alleles) were screened. Screening for the detected
ZNF469 sequence variants used HRMA on the RotorGene6000 (Corbett Life Sciences, San Francisco, CA, USA), using the High Resolution Melting Master kit (Roche Diagnostic). Further details of primers are provided in
Supplementary Material S1. Each HRMA reaction included a positive and negative control based on sequencing confirmation. Any sample on the melt curve that produced an equivocal reading was subject to further PCR and sequencing to confirm or exclude the presence of the sequence variation.
For the sequence variants, homology and predicted destruction or creation of exonic splicing enhancers, or effects on splicing, were evaluated using a variety of publicly available software. PolyPhen2 (
http://genetics.bwh.harvard.edu/pph2/) and SIFT (available in the public domain at
http://sift.jcvi.org/) analysis were used to predict the impact of the missense variants on protein structure and function, with Gene Splicer and Human Splicing Finder
33 for splicing signal analysis. Factors considered for determining potential pathogenicity of unclassified variants were positive family segregation, an allele frequency of <1/100 control chromosomes, homology, and/or bioinformatic prediction of biological significance. For an unclassified variant to remain in the list as a possible disease-causing variant, the criteria included present in patient population, absent in Polynesian control population, absent in population databases of human variation (Exome Variant Server [EVS; available in the public domain at
http://evs.gs.washington.edu/EVS] or 1000 Genomes [1000G; available in the public domain at
http://browser.1000genomes.org]), or with an allele frequency of less than 1/100 in European control chromosomes studied here, prediction of probably/possibly damaging or damaging/deleterious in at least one of the protein prediction software programs.
For three changes (p.R2129K, p.A2475E, and p.G3415V), both protein prediction algorithms suggested that the change was deleterious/pathogenic; however, the alleles were present in the Polynesian control population and databases of human variation. Similarly, p.G3256R was not present in any population databases or in the control population, but was calculated to be benign or tolerated in terms of protein pathogenicity. These four variants were nevertheless included in the initial analysis.