The striking similarity between Gestational Diabetes Mellitus (GDM) and Type 2 Diabetes (T2D) in terms of the pathophysiologies and the risk factors has led to the hypothesis that GDM is an early manifestation of T2D, expressed under the stress of pregnancy, and therefore both diseases should share similar susceptibility genes. GDM patients may provide a more homogeneous sample for the genetic causes of the disease than T2D, and therefore make a useful group for the identification of the genes involved. Over 200 GDM affected sib-pairs from 178 families were investigated, with parents available in 40% of cases. Genomic regions from 4 different chromosomes, 6, 8, 14 and 18 were chosen from regions that showed clustering for positive linkage scores in previous linkage studies on T2D and one control region on 13, where no previous positive linkage was reported. A total of 19 microsatellite markers were analysed for linkage to GDM using sib-pair analysis. Subset analyses were performed by ranking sib-pairs on GDM-related variables, e.g. mean BMI of sibs, age at GDM episode, etc. GENEHUNTER was run multiple times, each time including the next highest ranked family in the analysis. This gave a continuous range of scores where increasing or decreasing NPL scores indicated heterogeneity associated with different environmental factors such as age and weight. To evaluate the significance of the subset analyses, the results were compared to 10,000 permutations generated by randomly ranking the sib-pairs. Using the entire dataset, the analysis showed no significant linkage to a disease locus. Positive evidence for linkage was found with the subset analysis on chromosomes 8 and 14, suggesting heterogeneity between sib-pairs in the dataset. Marker D8S1742 on 8p23 showed an NPL score of 3.01 (p=0.001) when age at GDM diagnosis was used as a covariate. Using waist-to-hip ratio (WHR), marker D14S275 on 14q12 showed an NPL score of 2.474 (p=0.006). When adjusted for multiple testing, the results were not statistically significant for linkage to a diabetes disease locus, but gave evidence that GDM and T2D share similar genetic determinants, and defined groups of siblings for follow-up analysis of both types of diabetes.

<p>Cervical cancer is a multifactorial disease. Infection by oncogenic types of the human papillomavirus (HPV) is the major environmental risk factor and host genetic susceptibility also influences disease development. </p><p>The aim of this thesis is to identify and analyse risk genes involved in the genetic predisposition to cervical carcinoma. A unique and extensive population-based affected sib-pair (ASP) material and a large case-control sample were used in the investigations.</p><p>In paper I the human leukocyte antigen (HLA) class II DQB1 and DRB1 loci are confirmed, for the first time in a family-based material, as genetic susceptibility factors for cervical cancer. It is also proposed that the HLA class II DPB1 locus independently contributes to risk of developing disease. In addition, no evidence is found for an involvement of the class I HLA-B and HLA-A loci in the genetic predisposition. Paper II conclude that the Fas receptor –670 single nucleotide polymorphism (SNP) do not have a major impact on the susceptibility to cervical carcinoma <i>in situ</i> in the Swedish population. In paper III we show that interactions between the HPV16 E6 gene subtype and host HLA class II genotype potentially occur during infection and disease progression. Paper IV suggests that three chromosomal regions, 9q32, 12q24 and 16q24, contain risk factors of low to moderate effects on cervical cancer development. In paper V linkage signals are further identified between a 9q32 gene encoding the thymic stromal co-transporter (TSCOT) and the disease in ASPs with mean age over 30.5 years at diagnosis within the sib-pair.</p><p>These findings are important contributions towards understanding more about the aetiology of this complex cancer. The identification of new susceptibility regions opens up for further characterisation, replication and candidate gene analysis.</p>

Cervical cancer is a multifactorial disease. Infection by oncogenic types of the human papillomavirus (HPV) is the major environmental risk factor and host genetic susceptibility also influences disease development. The aim of this thesis is to identify and analyse risk genes involved in the genetic predisposition to cervical carcinoma. A unique and extensive population-based affected sib-pair (ASP) material and a large case-control sample were used in the investigations. In paper I the human leukocyte antigen (HLA) class II DQB1 and DRB1 loci are confirmed, for the first time in a family-based material, as genetic susceptibility factors for cervical cancer. It is also proposed that the HLA class II DPB1 locus independently contributes to risk of developing disease. In addition, no evidence is found for an involvement of the class I HLA-B and HLA-A loci in the genetic predisposition. Paper II conclude that the Fas receptor –670 single nucleotide polymorphism (SNP) do not have a major impact on the susceptibility to cervical carcinoma in situ in the Swedish population. In paper III we show that interactions between the HPV16 E6 gene subtype and host HLA class II genotype potentially occur during infection and disease progression. Paper IV suggests that three chromosomal regions, 9q32, 12q24 and 16q24, contain risk factors of low to moderate effects on cervical cancer development. In paper V linkage signals are further identified between a 9q32 gene encoding the thymic stromal co-transporter (TSCOT) and the disease in ASPs with mean age over 30.5 years at diagnosis within the sib-pair. These findings are important contributions towards understanding more about the aetiology of this complex cancer. The identification of new susceptibility regions opens up for further characterisation, replication and candidate gene analysis.

Patients with Alzheimer's disease (AD) often have a family history of the disease, implicating genetics as a major risk factor. Three genes are currently known to cause familial early-onset AD (&lt;65 years): the amyloid precursor protein (APP) and the presenilins (PSEN1 and PSEN2). For the much more common late-onset disease (&gt;65 years), only the APOE gene has repeatedly been associated to AD, where the ε4 allele increases disease risk and decreases age at onset. As APOE ε4 only explains part of the total estimated disease risk, more genes are expected to contribute to AD. This thesis has focused on the study of genetic risk factors involved in AD. In the first study, we conducted a linkage analysis of six chromosomes previously implicated in AD in a collection of affected relative pairs from Sweden, the UK and the USA. An earlier described linkage peak on chromosome 10q21 could not be replicated in the current sample, while significant linkage was demonstrated to chromosome 19q13 where the APOE gene is located. The linkage to 19q13 was further analyzed in the second study, demonstrating no significant evidence of genes other than APOE contributing to this peak. In the third study, the prevalence of APP duplications, a recently reported cause of early-onset AD, was investigated. No APP duplications were identified in 141 Swedish and Finnish early-onset AD patients, implying that this is not a common disease mechanism in the Scandinavian population. In the fourth study, genes with altered mRNA levels in the brain of a transgenic AD mouse model (tgAPP-ArcSwe) were identified using microarray analysis. Differentially expressed genes were further analyzed in AD brain. Two genes from the Wnt signaling pathway, TCF7L2 and MYC, had significantly increased mRNA levels in both transgenic mice and in AD brains, implicating cell differentiation and possibly neurogenesis in AD.