SNP HiTLink: a high-throughput linkage analysis system employing dense SNP data

Background  

During this recent decade, microarray-based single nucleotide polymorphism (SNP) data are becoming more widely used as markers for linkage analysis in the identification of loci for disease-associated genes. Although microarray-based SNP analyses have markedly reduced genotyping time and cost compared with microsatellite-based analyses, applying these enormous data to linkage analysis programs is a time-consuming step, thus, necessitating a high-throughput platform.     

Genetic characterization and fine mapping of susceptibility loci for sarcoidosis in African Americans on chromosome 5

Sarcoidosis, a systemic granulomatous disease, likely results from both environmental agents and genetic susceptibility. Sarcoidosis is more prevalent in women and, in the United States, African Americans are both more commonly and more severely affected than Caucasians. We report a follow up of the first genome scan for sarcoidosis susceptibility genes in African Americans. Both the genome scan and the present study comprise 229 African American nuclear families ascertained through two or more sibs with sarcoidosis. Regions studied included those which reached a significance in the genome scan of 0.01 (2p25, 5q11, 5q35, 9q34, 11p15 and 20q13), 0.05 (3p25 and 5p15–13) or which replicated previous findings (3p14–11). We performed genotyping with additional markers in the same families used in the genome scan. We examined multi-locus models for epistasis and performed model-based linkage analysis on subsets of the most linked families to characterize the underlying genetic model. The strongest signal was at marker D5S407 (P=0.005) on 5q11.2, using both full and half sibling pairs. Our results support, in an African American population, a sarcoidosis susceptibility gene on chromosome 5q11.2, and a gene protective for sarcoidosis on 5p15.2. These fine mapping results further prioritize the importance of candidate regions on chromosomes 2p25, 3p25, 5q35, 9q34, 11p15 and 20q13 for African Americans. Additionally, our results suggest joint action of the effects of putative genes on chromosome 3p14–11 and 5p15.2. We conclude that multiple susceptibility loci for sarcoidosis exist in African Americans and that some may have interdependent effects on disease pathogenesis.     

Glucocorticoid-induced cleft palate genes in chromosome 17: Genetic linkage and mapping analyses

Genes that influence susceptibility to dexamethasone-induced cleft palate and tentatively designated Dcp are linked to the major histocompatibility complex H-2 in chromosome 17 of the mouse. Experiments presented refine the map of genes. The results show two or three Dcp loci. The two-locus model maps Dcp genes to the class II gene E and to the chromosomal region between the S and D genes. The three-locus model maps the Dcp genes to the chromosomal regions from the centromere to E , from E to S, and from D to Pgk-2. Experiments were done by comparing the dexamethasone-induced cleft palate dose response of congenic strains with H-2 haplotypes that are recombinants of H-2 ^aand H-2 ^b. The analysis of genetic linkage between H-2 and Dcp was expanded to include reciprocal backcrosses. A maternal factor was found to influence the frequency of dexamethasone-induced cleft palate in the backcross fetuses. The factor's origin is associated with the H-2 haplotype of the outcross mother, so the effect is actually a grandmother effect that probably is transmitted horizontally. Finally, the sexes were distributed unevenly between the fetuses with cleft palate in two of the congenic strains. This suggests interaction between the H-2-linked Dcp genes and a Dcp sex-associated gene that modulates susceptibility to dexamethasone-induced cleft palate.     

Genetic linkage mapping of chromosome 17 markers and neurofibromatosis type 1

The von Recklinghausen neurofibromatosis (NF1) gene has been localized to the pericentromeric region of chromosome 17. We have screened six multigenerational families with multiple, tightly linked markers to aid in mapping this region of the chromosome. More than 150 members in six families were typed with probes including HHH202, D17Z1, EW203, EW206, EW207, EW301, pA10-41, D17S37, and D17S36. Two-point lod scores for NF1 versus all markers were calculated. HHH202 demonstrated the tightest linkage to NF1 with theta = .0, z = 3.86 (95% confidence limits [CL] of theta = .0-.13), suggesting that HHH202 be considered as a potential candidate marker for use in carrier detection and prenatal diagnosis. Pairwise marker-to-marker lod scores were used in examining the most likely order of subsets of the markers. Of those tested, the most likely order was (pter)-pA10-41-EW301-D17Z1-HHH202-NF1-E W206-EW207-EW203-(qter). In addition, we have ascertained an NF1 x NF1 half-cousin mating in which there are four affected family members who are potentially homozygous for the disease gene. Two of these four individuals have been sampled and typed for marker loci. When their D17Z1 genotypes are considered, the probability that both these individuals are heterozygous is 85%.     

An 18-locus linkage map of the pericentromeric region of the human X chromosome: Genetic framework for mapping X-linked disorders

We report a high-resolution genetic linkage map of the region Xp11.4 to Xq13.3, spanning the centromere of the X chromosome and encompassing approximately 30 cM. This 18-locus map is composed of 11 intervals that are spaced on average about 3 cM apart. Markers incorporated into the map together detect 19 distinct polymorphisms and include five genes (TIMP, SYP, AR, CCG1, PGK1), the OATL1 cluster, the hypervariable locus DXS255, the centromeric locus DXZ1, and 10 other anonymous DNA segments. Given that this map spans roughly one-fifth of the length of the X chromosome and includes many loci currently used in both diagnosis and mapping of X-linked disorders, it should be useful for genetic counseling and for guiding efforts to clone disease genes in this region.     

Genetic mapping of horizontal stripes in Lake Victoria cichlid fishes: benefits and pitfalls of using RAD markers for dense linkage mapping

The genetic dissection of naturally occurring phenotypes sheds light on many fundamental and longstanding questions in speciation and adaptation and is a central research topic in evolutionary biology. Until recently, forward‐genetic approaches were virtually impossible to apply to nonmodel organisms, but the development of next‐generation sequencing techniques eases this difficulty. Here, we use the ddRAD‐seq method to map a colour trait with a known adaptive function in cichlid fishes, well‐known textbook examples for rapid rates of speciation and astonishing phenotypic diversification. A suite of phenotypic key innovations is related to speciation and adaptation in cichlids, among which body coloration features prominently. The focal trait of this study, horizontal stripes, evolved in parallel in several cichlid radiations and is associated with piscivorous foraging behaviour. We conducted interspecific crosses between Haplochromis sauvagei and H. nyererei and constructed a linkage map with 867 SNP markers distributed on 22 linkage groups and total size of 1130.63 cM. Lateral stripes are inherited as a Mendelian trait and map to a single genomic interval that harbours a paralog of a gene with known function in stripe patterning. Dorsolateral and mid‐lateral stripes were always coinherited and are thus under the same genetic control. Additionally, we directly quantify the genotyping error rates in RAD markers and offer guidelines for identifying and dealing with errors. Uncritical marker selection was found to severely impact linkage map construction. Fortunately, by applying appropriate quality control steps, a genotyping accuracy of >99.9% can be reached, thus allowing for efficient linkage mapping of evolutionarily relevant traits.     

Genetic mapping of the mouse c-fms proto-oncogene to chromosome 18.

Chinese hamster X mouse somatic cell hybrids were analyzed by Southern blot hybridization with a probe specific for the cellular c-fms proto-oncogene. Results demonstrate that Fms, the genetic locus containing this sequence, maps to mouse chromosome 18. Mouse Fms is thus not linked to the same set of genes involved in growth regulation that human FMS is linked to.     

Interleukin-18 and diabetic nephropathy: A review

The inflammatory response has an important role in the pathophysiology of diabetic nephropathy that is contributed to by inflammatory mediators such as interleukin-1 (IL-1), IL-6, IL-18, tumor necrosis factor-α, and macrophage chemotactic protein-1; however, the role of IL-18 seems to be more specific than other cytokines in the inflammatory process. IL-18 is expressed in renal tissue and is upregulated by several stimuli including hyperglycemia. The expression/urinary level of IL-18 is positively correlated with the progression of diabetic nephropathy and the urinary albumin excretion rate. In this review, we have focused on the molecular pathways modulating the relationship between IL-18 and diabetic nephropathy.     

Genetic linkage of Paget disease of the bone to chromosome 18q.

Paget disease is a common bone disease characterized by abnormal osteoclasts that are large, multinucleated, and overactive and that contain paramyxovirus-like nuclear inclusions. There is evidence for a major genetic component to Paget disease, with up to 40% of patients having affected first-degree relatives; however, the locus (loci) and gene(s) involved are unknown. Another bone disorder, familial expansile osteolysis (FEO), although extremely rare, also is characterized by similar osteoclast abnormalities but has an earlier age at onset and a more aggressive clinical progression. The causative gene for FEO has been localized to a region of human chromosome 18q. On the basis of the presence of similar clinical findings and of viral-like nuclear inclusions in osteoclasts, we hypothesized that FEO and Paget disease are allelic versions of the same locus. Therefore, a large kindred with a high incidence of Paget disease was examined to determine if Paget disease was linked to genetic markers in the same region of chromosome 18 as that for FEO. Our analysis yielded a two-point LOD score of 3.40, with the genetic marker D18S42, a marker tightly linked to the FEO locus. This demonstrates that the gene(s) responsible for FEO and that for Paget disease are either closely linked or the same locus.     

Quantitative PCR approach to SNP detection and linkage mapping in Caenorhabditis elegans

I report a method for single nucleotide polymorphism (SNP) detection and linkage mapping in Caenorhabditis elegans using automated oligonucleotide design and fluorescence-based quantitative PCR detection. Nine hundred twenty-three oligonucleotide pairs were designed to produce small products of <150 bp for efficient amplification in a PCR, with one oligonucleotide of each pair overlapping a SNP site at the 3'-most nucleotide. A subset of the pairs were tested, and efficient allelic discrimination was obtained for SNPs between N2, the canonical laboratory strain, and CB4856, a strain isolated from Hawaii commonly used for mapping studies. Linkage mapping is demonstrated using the unc-119 locus of C. elegans. This quantitative PCR method provides an inexpensive, uniform, and automatable detection alternative for genetic mapping strategies in C. elegans or other organisms.     

Prostate cancer susceptibility Loci identified on chromosome 12 in African Americans

Prostate cancer (PCa) is a complex disease that disproportionately affects African Americans and other individuals of African descent. A number of regions across the genome have been associated to PCa, most of them with moderate effects. A few studies have reported chromosomal changes on 12p and 12q that occur during the onset and development of PCa but to date no consistent association of the disease with chromosome 12 polymorphic variation has been identified. In order to unravel genetic risk factors that underlie PCa health disparities we investigated chromosome 12 using ancestry informative markers (AIMs), which allow us to distinguish genomic regions of European or West African origin, and tested them for association with PCa. Additional SNPs were genotyped in those areas where significant signals of association were detected. The strongest signal was discovered at the SNP rs12827748, located upstream of the PAWR gene, a tumor suppressor, which is amply expressed in the prostate. The most frequent allele in Europeans was the risk allele among African Americans. We also examined vitamin D related genes, VDR and CYP27B1, and found a significant association of PCa with the TaqI polymorphism (rs731236) in the former. Although our results warrant further investigation we have uncovered a genetic susceptibility factor for PCa in a likely candidate by means of an approach that takes advantage of the differential contribution of parental groups to an admixed population.     

Genetic linkage mapping of multiple epiphyseal dysplasia to the pericentromeric region of chromosome 19.

Multiple epiphyseal dysplasia (MED) is an inherited chondrodystrophy that results in deformity of articular surfaces and in subsequent degenerative joint disease. The disease is inherited as an autosomal dominant trait with high penetrance. An MED mutation has been mapped by genetic linkage analysis of DNA polymorphisms in a single large pedigree. Close linkage of MED to 130 tested chromosomal markers was ruled out by discordant inheritance patterns. However, strong evidence for linkage of MED to markers in the pericentromeric region of chromosome 19 was obtained. The most closely linked marker was D19S215, with a maximum LOD score of 6.37 at theta = .05. Multipoint linkage analysis indicated that MED is located between D19S212 and D19S215, a map interval of 1.7 cM. Discovery of the map location of MED in this family will facilitate identification of the mutant gene. The closely linked DNA polymorphisms will also provide the means to determine whether other inherited chondrodystrophies have underlying defects in the same gene.     

Analysis of coding variants identified from exome sequencing resources for association with diabetic and non-diabetic nephropathy in African Americans

Prior studies have identified common genetic variants influencing diabetic and non-diabetic nephropathy, diseases which disproportionately affect African Americans. Recently, exome sequencing techniques have facilitated identification of coding variants on a genome-wide basis in large samples. Exonic variants in known or suspected end-stage kidney disease (ESKD) or nephropathy genes can be tested for their ability to identify association either singly or in combination with known associated common variants. Coding variants in genes with prior evidence for association with ESKD or nephropathy were identified in the NHLBI-ESP GO database and genotyped in 5,045 African Americans (3,324 cases with type 2 diabetes associated nephropathy [T2D-ESKD] or non-T2D ESKD, and 1,721 controls) and 1,465 European Americans (568 T2D-ESKD cases and 897 controls). Logistic regression analyses were performed to assess association, with admixture and APOL1 risk status incorporated as covariates. Ten of 31 SNPs were associated in African Americans; four replicated in European Americans. In African Americans, SNPs in OR2L8, OR2AK2, C6orf167 (MMS22L), LIMK2, APOL3, APOL2, and APOL1 were nominally associated (P = 1.8 × 10^?4–0.044). Haplotype analysis of common and coding variants increased evidence of association at the OR2L13 and APOL1 loci (P = 6.2 × 10^?5 and 4.6 × 10^?5, respectively). SNPs replicating in European Americans were in OR2AK2, LIMK2, and APOL2 (P = 0.0010-0.037). Meta-analyses highlighted four SNPs associated in T2D-ESKD and all-cause ESKD. Results from this study suggest a role for coding variants in the development of diabetic, non-diabetic, and/or all-cause ESKD in African Americans and/or European Americans.     

Genetic mapping of chromosome X: known localizations

To be a linkage between the clinician and the molecular biologist is the aim of this paper. All the known genes on the X chromosome are usually reported in most of the human gene mapping catalogs. Here, X-linked diseases precisely mapped on the X chromosome are classified by systems. Gene mapping of the phenotypes is given for each system.