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The accurate prenatal diagnosis of 21-beta-hydroxylase deficiency, based on amniotic fluid levels of 17-hydroxyprogesterone, is documented for a fetus 14 1/2 weeks old. In addition, family HLA genotyping data are consistent with the purported linkage between the HLA locus and the locus for 21-beta-hydroxylase.
The NIMH genetics initiative on bipolar disorder was established to collect uniformly ascertained bipolar pedigrees for genetic studies. In 1997, the four participating sites published a genome scan on the initial set of 97 bipolar pedigrees. Fifty-six additional bipolar pedigrees have now been ascertained and evaluated. This replication pedigree set contains 354 genotyped subjects, including 139 bipolar I (BPI) subjects, five schizoaffective bipolar type SA/BP subjects, 41 bipolar II (BPII) subjects, and 43 recurrent unipolar (RUP) depression subjects. Our site has recently genotyped the replication study bipolar pedigrees using 107 microsatellite markers from chromosomes 4, 7, 9, 18, 19, 20, and 21. We are now reporting parametric and nonparametric linkage results from this effort. Multipoint nonparametric linkage analysis produced three candidate regions with allele sharing LOD scores >/= 1.0. The linkage signal on 4q35 peaked between markers D4S3335 and D4S2390 with an allele sharing LOD score of 2.49. This finding exceeds standard criteria for suggestive linkage. Two additional loci approach suggestive linkage levels: the 4q32 finding had its maximum near marker D4S1629 with an allele sharing LOD score of 2.16, and the 20p12 finding peaked at D20S162 with an allele sharing LOD score of 1.82. Multipoint parametric linkage analysis produced similar findings. When we combined the genotype data from the original and the replication pedigree sets, 20p12 yielded a nonparametric LOD score of 2.38, which exceeds standard criteria for suggestive linkage, and a corresponding parametric HLOD score of 2.98. The combined analysis did not provide further support for linkage to 4q32 and 4q35.
Recent evidence from postmortem studies suggests that GAD1 encoding the gamma-aminobutyric acid (GABA) synthetic enzyme GAD67 is a functional candidate susceptibility gene for both bipolar affective disorder (BPAD) and schizophrenia. Previous studies suggest linkage between D2S326 near GAD1 and BPAD. We systematically screened GAD1 exons, flanking intronic sequences, and the promoter sequence for polymorphisms in 16 BPAD patients and five controls from Denmark. We identified eight single nucleotide polymorphisms (SNPs) including two in the promoter sequence. An association study of SNPs covering GAD1 was performed in a Danish sample of 82 BPAD subjects and 120 controls and in a Scottish sample of 197 individuals with schizophrenia, 200 BPAD subjects and 199 controls. Linkage disequilibrium (LD) and haplotype frequencies were estimated from genotype data from eight SNPs. Strong pairwise LD was observed among all pairs of neighboring markers. In the Danish sample, we found weak association between BPAD and two promoter SNPs spaced 1 kb apart. Furthermore, one, two, and three loci haplotype analysis showed weak association with BPAD in the Danish sample. The results from the association studies indicate that promoter variants are of importance for the Danish BPAD cases and we cannot reject the hypothesis of GAD1 as a functional candidate gene for BPAD. No association was observed between BPAD or schizophrenia and any of the investigated SNPs in the Scottish sample set. Thus the results obtained from the Scottish sample suggest that the GAD1 gene variants do not play a major role in the predisposition to schizophrenia.
Other than the APOE peak at 19q13, the 9q22 region was identified in our original genomic scan as the candidate region with the highest multipoint lod score (MLS) in the subset of late onset Alzheimer's Disease (AD) families (MLS = 2.9 at 101 cM) from the NIMH Genetics Initiative sample. We have now genotyped an additional 12 short tandem repeats (STR) in this region. Multipoint analysis shows the region remains significant with an increase in the peak MLS from 2.9 to 3.8 at 95 cM near marker D9S1815, and the 1 LOD interval narrows from 21.5 to 11 cM. HLOD scores also provide evidence for significant linkage (4.5 with an alpha = 31%) with a further narrowing of the region to 6.6 cM (92.2-98.8 cM). Single nucleotide polymorphisms (SNPs) in the Ubiquilin1 gene (UBQLN1), located at 83.3 cM, have been reported to be significantly associated to AD, accounting for a substantial portion of the original linkage signal [Bertram et al., 2005]. Our analyses of the higher resolution genotype data generated here provide further support for the existence of a least one additional locus on chromosome 9q22. In an effort to pinpoint this putative AD susceptibility gene, we have begun to analyze SNPs in other candidate genes in and around this narrowed region to test for additional associations to AD.
OBJECTIVE: HLA is the most strongly associated locus in rheumatoid arthritis (RA), accounting for up to one-third of the genetic contribution. Conditioning on the effect of true disease loci such as HLA can lead to increased power to detect effects at other loci and, in addition, allows investigation of the underlying disease models, including interactions. The aim of this study was to detect susceptibility loci for RA by conditioning on HLA in a large sample of affected sibling pairs (ASPs) and to test for evidence of interaction between novel loci and HLA. METHODS: Genotype data from 3 whole-genome linkage scans for RA in a US population and a UK population were pooled, resulting in a combined data set of 886 ASPs. This pooling of data increased the power to detect loci showing low levels of heterogeneity. Nonparametric linkage analysis was performed to identify regions of interest. Joint 2-locus analysis was then performed for HLA and each of the loci that demonstrated evidence of linkage in the 886 ASPs. RESULTS: Evidence for linkage was most significant at HLA (P = 4 x 10(-16)), with 7 non-HLA loci showing some evidence for linkage (P = 0.05-0.003). Joint modeling of these loci with HLA provided evidence for linkage at a genome-wide significance level for loci on 6q (P = 2.7 x 10(-6)) and 16p (P = 2 x 10(-4)). CONCLUSION: These data provide the most convincing evidence to date that 6q and 16p harbor susceptibility genes. In addition, these loci may interact with HLA, facilitating the search for candidate genes within this region.
OBJECTIVE: A significant proportion of individuals with suspected genetic developmental and epileptic encephalopathies (DEEs) remain unsolved following whole genome sequencing (WGS). Here we describe biallelic RNU2-2 variants causing a recently reported, severe, recessive DEE. METHODS: We screened individuals who have received WGS analyses at the Genomic Medicine Centre Karolinska for Rare Diseases for biallelic RNU2-2 variants. Deep phenotyping was performed through reviewing entire medical histories and phenotypic traits were transcribed to their corresponding Human Phenotype Ontology (HPO) term. HPO terms were used to generate pairwise phenotypic similarity scores and assess for significantly shared phenotype enrichment in the RNU2-2 sub-cohort. RNA sequencing analyses were performed in fibroblast and blood tissues to compare splicing events between RNU2-2 individuals and two independent control groups. RESULTS: We identified 14 individuals from nine families with 12 ultra-rare biallelic RNU2-2 variants clustering in the conserved 5' domains. Genotype data from 13 of 14 individuals has been reported previously as part of a larger cohort. All individuals presented with a highly concordant, severe DEE, characterized by severe to profound intellectual disability, inability to walk or communicate, hyperkinesia, and refractory seizures. Infantile spasms and tonic seizures were the predominant seizure types and a Lennox-Gastaut syndrome-like phenotype was common. These individuals had a significantly similar phenotypic signature when compared with 703 individuals with complex pediatric epilepsies (two-sided Monte Carlo permutation test, p = .005). RNA sequencing analyses showed aberrant splicing, with the most pronounced effects in fibroblast tissues in mutually exclusive exon and alternate 3' splice-site events, which were not detectable in blood. SIGNIFICANCE: We present deep phenotyping data and transcriptomic analyses that provide support for rare, 5' clustering biallelic RNU2-2 variants causing this novel, severe DEE. We propose an RNA sequencing methodology on fibroblast tissue for future validation of RNU2-2 variants.
A genome-wide search was conducted to identify chromosomal regions likely to harbor genes for asthma susceptibility. One hundred and twelve Caucasian families ascertained through a proband with a diagnosis of asthma by the Collaborative Study on the Genetics of Asthma (CSGA) were used for this search. Genotype data on 323 polymorphic markers were analyzed via parametric and nonparametric linkage analysis in an initial genome scan to identify potential asthma susceptibility region(s). The regions where hold or nonparametric linkage scores were greater than 2.0 were selected for further investigation using two-trait-locus linkage analysis models.
The associations between haplotypes and disease phenotypes offer valuable clues about the genetic determinants of complex diseases. It is highly challenging to make statistical inferences about these associations because of the unknown gametic phase in genotype data. We describe a general likelihood-based approach to inferring haplotype-disease associations in studies of unrelated individuals. We consider all possible phenotypes (including disease indicator, quantitative trait, and potentially censored age at onset of disease) and all commonly used study designs (including cross-sectional, case-control, cohort, nested case-control, and case-cohort). The effects of haplotypes on phenotype are characterized by appropriate regression models, which allow various genetic mechanisms and gene-environment interactions. We present the likelihood functions for all study designs and disease phenotypes under Hardy-Weinberg disequilibrium. The corresponding maximum likelihood estimators are approximately unbiased, normally distributed, and statistically efficient. We provide simple and efficient numerical algorithms to calculate the maximum likelihood estimators and their variances, and implement these algorithms in a freely available computer program. Extensive simulation studies demonstrate that the proposed methods perform well in realistic situations. An application to the Carolina Breast Cancer Study reveals significant haplotype effects and haplotype-smoking interactions in the development of breast cancer.
Case-control study has been and continues to be one of the most popular designs in epidemiology. More recently, this design has been adopted to test for candidate genes when searching for disease genetic etiology. In this report, we present a multipoint linkage disequilibrium (LD) mapping approach with the focus on estimating the location of the target trait locus. It builds upon a representation, which shows that the difference between a case and a control in probabilities of carrying the target allele of a marker is proportional to that of the trait locus and that the proportionality factor is simply a measure of LD between the trait locus and the marker. Our method has the desired properties that (1) there is no need to specify phases of genotypic data with multiple markers, (2) it provides an estimate of location of the disease locus along with sampling uncertainty to help investigators to narrow chromosomal regions, and (3) a single test statistic is provided to test for LD in the framed region rather than testing the hypothesis one marker at a time. Our simulation work suggests that the proposed method performs well in terms of bias and coverage probability. Extension of the proposed method to account for confounding and genetic heterogeneity is discussed. We apply the proposed method to a published case-control data set for cystic fibrosis.
Variable immune responses to hepatitis B virus (HBV) infection and recombinant HBV vaccines have been associated with polymorphisms in several genes within the human leukocyte antigen (HLA) complex. Analyses of polymerase chain reaction (PCR)-based genotyping data from 164 North American adolescents vaccinated with recombinant HBV products confirmed that HLA-DRB1*07 (relative odds [RO] = 5.18, P <.0001) and human immunodeficiency virus type 1 (HIV-1) infection (RO = 3.91, P <.001) were both associated with nonresponse to full-dose vaccination. Further associations were observed with single nucleotide polymorphisms (SNPs) at the IL2 and IL4 loci along with insertion/deletion variants at the IL12B locus (P =.003-.01). Host genetic associations were independent of one another as well as other HLA (A, B, C, and DQB1) and cytokine gene (IL4R, IL6, IL10, and TNF) variants. Statistical adjustments for nongenetic factors (gender, ethnicity, age, HIV-1 infection, and vaccination protocols) did not substantially alter the strengths of the genetic relationships. The overall distribution pattern of genetic variations was similar between the analyzed vaccinees and additional adolescents (n = 292) from the same cohort. In conclusion, DRB1*07 (or a closely linked allele) and immunoregulatory cytokine gene polymorphisms correlate with variable immune response to recombinant HBV vaccines.
von Hippel Lindau disease (VHL) is an autosomal dominant familial cancer syndrome linked to alteration of the VHL tumor suppressor gene. Affected patients are predisposed to develop pheochromocytomas and cystic and solid tumors of the kidney, CNS, pancreas, retina, and epididymis. However, organ involvement varies considerably among families and has been shown to correlate with the underlying germline alteration. Clinically, we observed a paradoxically lower prevalence of renal cell carcinoma (RCC) in patients with complete germline deletion of VHL. To determine if a relationship existed between the type of VHL deletion and disease, we retrospectively evaluated 123 patients from 55 families with large germline VHL deletions, including 42 intragenic partial deletions and 13 complete VHL deletions, by history and radiographic imaging. Each individual and family was scored for cystic or solid involvement of CNS, pancreas, and kidney, and for pheochromocytoma. Germline deletions were mapped using a combination of fluorescent in situ hybridization (FISH) and quantitative Southern and Southern blot analysis. An age-adjusted comparison demonstrated a higher prevalence of RCC in patients with partial germline VHL deletions relative to complete deletions (48.9 vs. 22.6%, p=0.007). This striking phenotypic dichotomy was not seen for cystic renal lesions or for CNS (p=0.22), pancreas (p=0.72), or pheochromocytoma (p=0.34). Deletion mapping revealed that development of RCC had an even greater correlation with retention of HSPC300 (C3orf10), located within the 30-kb region of chromosome 3p, immediately telomeric to VHL (52.3 vs. 18.9%, p <0.001), suggesting the presence of a neighboring gene or genes critical to the development and maintenance of RCC. Careful correlation of genotypic data with objective phenotypic measures will provide further insight into the mechanisms of tumor formation.
Cobalamin nonresponsive methylmalonic acidemia (MMA, mut complementation class) results from mutations in the nuclear gene MUT, which codes for the mitochondrial enzyme methylmalonyl CoA mutase (MCM). To better elucidate the spectrum of mutations that cause MMA, the MUT gene was sequenced in 160 patients with mut MMA. Sequence analysis identified mutations in 96% of disease alleles. Mutations were found in all coding exons, but predominantly in exons 2, 3, 6, and 11. A total of 116 different mutations, 68 of which were novel, were identified. Of the 116 different mutations, 53% were missense mutations, 22% were deletions, duplications or insertions, 16% were nonsense mutations, and 9% were splice-site mutations. Sixty-one of the mutations have only been identified in one family. A novel mutation in exon 2, c.322C>T (p.R108C), was identified in 16 of 27 Hispanic patients. SNP genotyping data demonstrated that Hispanic patients with this mutation share a common haplotype. Three other mutations were seen exclusively in Hispanic patients: c.280G>A (p.G94R), c.1022dupA, and c.970G>A (p.A324T). Seven mutations were seen almost exclusively in black patients, including the previously reported c.2150G>T (p.G717V) mutation, which was identified in 12 of 29 black patients. Two mutations were seen only in Asian patients. Some frequently identified mutations were not population-specific and were identified in patients of various ethnic backgrounds. Some of these mutations were found in mutation clusters in exons 2, 3, 6, and 11, suggesting a recurrent mutation.
Bilateral breast cancer (biBC) is a common form of breast cancer; however, it has not been subjected to systematic comparative genetic studies. We allelotyped 28 biBCs on 14 chromosomal arms, addressing 2 lines of questions: (i) does comparison of genetic profiles disclose contralateral metastases misdiagnosed as second primaries? and (ii) do shared environmental and host factors drive the development of true biBC along similar genetic routes? Allelotyping provided unambiguous proof for distinct clonality in 23 of 28 cases. In another 4 biBCs, the genotyping data did not exclude the hypothesis of metastatic spread, whereas clinical and histologic data were in favor of bilaterality. Thus the question of clonality remained open only for 1 case, in which the paired tumors shared both histologic features and allelotypes. We conclude that the vast majority if not all biBCs are of independent clonal origin. Next, we assessed the similarity of genetic pathways in distinct categories of biBC. It was assumed that the coexistence of allelic imbalance (AI) in 1 tumor and retention of heterozygosity (N) in the contralateral neoplasm corresponds to the distinct genetic profiles, whereas the remaining combinations (AI/AI or N/N) suggest a match of allelic status for a given polymorphic marker. When these allelic matches were pooled, it turned out that synchronous biBC displayed a significantly higher similarity score than metachronous biBC (64/77 [83%] vs. 162/267 [61%]; p = 0.0003). In addition, an increased similarity of allelic profiles was observed in the premenopausal biBC (76/101 [75%]) compared with postmenopausal cases (111/173 [64%]) or tumor pairs separated by the onset of menopause (39/70 [56%]; p = 0.014). Overall, our data suggest that sharing natural histories of the disease, which is more evident in synchronous and/or premenopausal forms of biBC, may result in a similarity of molecular portraits in bilateral breast tumors.
Mutation and/or loss of the TP53 tumour suppressor gene is the single most common genetic abnormality in human cancer. The majority of TP53 mutations lead to stabilization of the protein, so that immunohistochemical staining for p53 can suggest mutation status in many cases. However, various false-positive and false-negative situations mean that simple immunostaining for p53 is not informative in a substantial number of tumours. In the present study, a series of 119 human cancers were immunostained using a highly sensitive technique that detects the low levels of wild-type protein expressed in normal cells, such that homozygous gene deletion or non-sense TP53 mutation can be identified by an absence of staining. TP53 gene status was also assessed using FASAY as a genetic/functional screen and in selected cases by direct sequencing. A quantitative scoring system was employed to assess p53 levels, and p53 post-translational modification was evaluated using antibodies that detect specific phosphorylation sites. Phosphorylated p53 correlated with total p53 levels and did not improve the prediction of TP53 mutation status. The transcriptional activity of TP53 was determined by staining for two downstream target genes, p21(WAF1) and MDM2, and statistical correlations between MDM2/p21(WAF1) and p53 were found in tumours with wild-type, but not mutant TP53. Measurement of staining for p53 and MDM2 accurately identifies the TP53 status of tumours. This simple and cost-effective method, applicable to automated staining and quantitation methods, improves the identification of TP53 status over standard methods for p53 immunostaining and provides information about tumour p53 phenotype that is complementary to genotyping data.
BACKGROUND: Osteosarcoma (OS) has been well described in individuals with germ-line TP53 mutations (Li-Fraumeni Syndrome) but typically occurs sporadically in adolescents and young adults. Single nucleotide polymorphisms (SNPs), the most common germ-line genetic variation, have been associated with risk for other types of cancer. We hypothesized that genetic variation in TP53 could be associated with OS risk based on its critical role in cell growth and effect of somatic mutations in OS tumors. PROCEDURE: Twelve common SNPs in TP53 were genotyped in a case-control study of sporadic OS. These SNPs spanned the TP53 locus and captured common haplotypes. Genotype data were analyzed using contingency tables for additive, dominant, and recessive genetic models. PHASEv2.1 and HaploStats were used to evaluate haplotypes. RESULTS: The recessive model suggested an increased risk of OS when two copies of TP53-34 C>G variant (IVS2+38, rs1642785) were present, P = 0.041, odds ratio (OR) 6.70 (95% confidence interval [CI] 1.06-41.6). The TP53-01 variant C>G (Pro72Arg, rs1042522) may also be associated with increased risk for OS, P = 0.028, OR 7.5 (95% CI 1.20-46.3). Common TP53 haplotypes as well as the remaining 10 SNPs were not associated with risk for OS. CONCLUSIONS: These data do not indicate a strong link between variation in TP53 and OS risk, although they provide preliminary evidence of an increased risk of OS associated with variants at IVS2+38 and Pro72Arg. The findings warrant replication in further studies.
BACKGROUND: Prostate cancer (CaP) is a common disorder with multiple genetic and environmental factors contributing to the disease. CaP susceptibility loci can be identified through genome-wide scans of high-risk families. METHODS: Allele sharing at 405 markers, distributed across the genome, among 50 families with hereditary prostate cancer, ascertained throughout Sweden, was evaluated through linkage analyses. Genotype data were analyzed utilizing multipoint parametric and non-parametric methods. RESULTS: Two regions provided suggestive evidence for linkage: 19p13.3 (marker D19S209, LOD = 2.91, P = 0.0001) and 5q11.2 (marker D5S407, LOD = 2.24, P = 0.0007). Additional regions with moderate evidence for linkage in the complete set of families, or stratified subsets, were observed on chromosome 1, 4, 6, 7, 8, and X. CONCLUSIONS: Our results provide strong confirmatory evidence of linkage at 19q13.3 and 5q11.2. The lack of confirmation of linkage at several loci identified in other genome-wide scans emphasizes the need to combine linkage data between research groups.
BACKGROUND: Although the subject of intensive study, the genetic influences responsible for familial clustering of prostate cancer remain largely unidentified. Genome-wide scans for linkage in prostate cancer families can be used to systematically search for genes capable of affecting risk for the disease. METHODS: All available family members from 188 families, each having at least three first-degree relatives affected with prostate cancer, were genotyped at 406 markers distributed across the genome at average intervals of less than 10 cM. Genotype data was analyzed using primarily a non-parametric, multipoint approach, although parametric analyses were performed as well. RESULTS: The strongest evidence for linkage was observed at D4S1615, at 4q21 (LOD of 2.8, P = 0.0002). Two other regions had LOD scores over 2.0: at 9q34 (marker D9S1826, LOD = 2.17, P = 0.0008) and at 2q23 (marker D2S151, LOD = 2.03, P = 0.001). An additional 12 regions had LOD scores over 1.0, including markers at 1q24-25 and 7q22 having scores >1.6. Stratifying the linkage results by age of diagnosis indicated that the linkages to chromosomes 2 and 4 were strongest in families with early and late ages of diagnosis, respectively. CONCLUSIONS: Our data implicate several new loci as harboring prostate cancer susceptibility genes, and provide confirmatory evidence of linkage at several loci identified previously in other genome-wide scans, including the three regions (4q21, 9q34, and 2q23) with strongest evidence for prostate cancer linkage. These data also emphasize the need to combine linkage data from large numbers of prostate cancer families in efforts to effectively address the extensive heterogeneity that characterizes genetic aspects of this disease.
The CEPH consortium framework map of chromosome 11 is presented. The map was generated from CEPH family DNAs with 181 probe/enzyme combinations contributed by 20 laboratories. Seventy-seven of the loci are defined by microsatellite polymorphisms that can be typed by the PCR. A total of 42 loci have been placed on the map with likelihood support of at least 1000:1. The female, male, and sex-average maps extend for 179.6, 110.8, and 145.3 cM, respectively. The largest interval on the sex-average map is less than 11 cM, and the average distance between uniquely placed loci is 4 cM. The genotypic data obtained for map construction have been used to identify the positions of crossovers on the chromosomes of CEPH family children, allowing the localization of new markers without computationally intensive likelihood models and providing a basis for efficient extension of the linkage map to higher resolution.