We conducted a genome-wide association study in 939 individuals with atopic dermatitis and 975 controls as well as 270 complete nuclear families with two affected siblings. SNPs consistently associated with atopic dermatitis in both discovery sets were then investigated in two additional independent replication sets totalling 2,637 cases and 3,957 controls. Highly significant association was found with allele A of rs7927894 on chromosome 11q13.5, located 38 kb downstream of C11orf30 (P(combined) = 7.6 x 10(-10)). Approximately 13% of individuals of European origin are homozygous for rs7927894[A], and their risk of developing atopic dermatitis is 1.47 times that of noncarriers.

Using principal component (PC) analysis, we studied the genetic constitution of 3,112 individuals from Europe as portrayed by more than 270,000 single nucleotide polymorphisms (SNPs) genotyped with the Illumina Infinium platform. In cohorts where the sample size was >100, one hundred randomly chosen samples were used for analysis to minimize the sample size effect, resulting in a total of 1,564 samples. This analysis revealed that the genetic structure of the European population correlates closely with geography. The first two PCs highlight the genetic diversity corresponding to the northwest to southeast gradient and position the populations according to their approximate geographic origin. The resulting genetic map forms a triangular structure with a) Finland, b) the Baltic region, Poland and Western Russia, and c) Italy as its vertexes, and with d) Central- and Western Europe in its centre. Inter- and intra- population genetic differences were quantified by the inflation factor lambda (λ) (ranging from 1.00 to 4.21), fixation index (Fst) (ranging from 0.000 to 0.023), and by the number of markers exhibiting significant allele frequency differences in pair-wise population comparisons. The estimated lambda was used to assess the real diminishing impact to association statistics when two distinct populations are merged directly in an analysis. When the PC analysis was confined to the 1,019 Estonian individuals (0.1% of the Estonian population), a fine structure emerged that correlated with the geography of individual counties. With at least two cohorts available from several countries, genetic substructures were investigated in Czech, Finnish, German, Estonian and Italian populations. Together with previously published data, our results allow the creation of a comprehensive European genetic map that will greatly facilitate inter-population genetic studies including genome wide association studies (GWAS).

The genetically determined impairment of the skin barrier is a primary cause of eczema. As numerous genes essential for an intact epidermis reside within the epidermal differentiation complex (EDC), we screened the National Center for Biotechnology Information (NCBI) database for putatively functional polymorphisms in the EDC genes and tested them for association with eczema. We identified 20 polymorphisms with predicted major impact on protein function. Of these, 4 were validated in 94 eczema patients: a nonsense mutation in FLG2 (rs12568784), a stop codon mutation in LCE1D (rs41268500), a 24-bp deletion in SPRR3 (rs28989168), and a frameshift mutation in S100A3 (rs11390146). The minor allele frequencies were 15.1, 6.1, 47.2, and 0.4%, respectively. Association testing of the validated polymorphisms in 555 eczema patients and 375 controls identified a significant effect of rs28989168 (SPRR3) on eczema. The association was replicated in another 1,314 cases and 1,322 controls, yielding an overall odds ratio of 1.30 (95% confidence interval 1.12-1.51; P=0.00067) for a dominant mode of inheritance. Small proline-rich proteins (SPRRs) are crossbridging proteins in the cornified cell envelope (CE), which provides the main barrier function of stratified squamous epithelia. The SPRR3 variant associated with eczema carried an extra 24-bp repeat in the central domain, which may alter the physical properties of the CE.

Cystic fibrosis (CF) is a monogenic disease due to mutations in the CFTR gene. Yet, variability in CF disease presentation is presumed to be affected by modifier genes, such as those recently demonstrated for the pulmonary aspect. Here, we conduct a modifier gene study for meconium ileus (MI), an intestinal obstruction that occurs in 16–20% of CF newborns, providing linkage and association results from large family and case–control samples. Linkage analysis of modifier traits is different than linkage analysis of primary traits on which a sample was ascertained. Here, we articulate a source of confounding unique to modifier gene studies and provide an example of how one might overcome the confounding in the context of linkage studies. Our linkage analysis provided evidence of a MI locus on chromosome 12p13.3, which was segregating in up to 80% of MI families with at least one affected offspring (HLOD = 2.9). Fine mapping of the 12p13.3 region in a large case–control sample of pancreatic insufficient Canadian CF patients with and without MI pointed to the involvement of ADIPOR2 in MI (p = 0.002). This marker was substantially out of Hardy–Weinberg equilibrium in the cases only, and provided evidence of a cohort effect. The association with rs9300298 in the ADIPOR2 gene at the 12p13.3 locus was replicated in an independent sample of CF families. A protective locus, using the phenotype of no-MI, mapped to 4q13.3 (HLOD = 3.19), with substantial heterogeneity. A candidate gene in the region, SLC4A4, provided preliminary evidence of association (p = 0.002), warranting further follow-up studies. Our linkage approach was used to direct our fine-mapping studies, which uncovered two potential modifier genes worthy of follow-up.

the combined results of the utilized protocols led to the detection of 21 CF patients, 19 of which were identified using the IRT/DNA/IRT protocol, 16 using IRT/PAP, and 15 using IRT/PAP/DNA. Decreased cut-offs for PAP within the IRT/PAP protocol would lead to higher sensitivity but would increase false positives. Within the IRT/PAP/DNA protocol, decreased PAP cut-offs would result in high sensitivity, an acceptable number of false positives, and would reduce the number of DNA analyses. Thus, we concluded that the IRT/PAP/DNA protocol would represent the most suitable protocol in our conditions.