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In post-industrial settings, apolipoprotein E4 (APOE4) is associated with increased cardiovascular and neurological disease risk. However, the majority of human evolutionary history occurred in environments with higher pathogenic diversity and low cardiovascular risk. We hypothesize that in high-pathogen and energy-limited contexts, the APOE4 allele confers benefits by reducing innate inflammation when uninfected, while maintaining higher lipid levels that buffer costs of immune activation during infection. Among Tsimane forager-farmers of Bolivia (N = 1266, 50% female), APOE4 is associated with 30% lower C-reactive protein, and higher total cholesterol and oxidized LDL. Blood lipids were either not associated, or negatively associated with inflammatory biomarkers, except for associations of oxidized LDL and inflammation which were limited to obese adults. Further, APOE4 carriers maintain higher levels of total and LDL cholesterol at low body mass indices (BMIs). These results suggest that the relationship between APOE4 and lipids may be beneficial for pathogen-driven immune responses and unlikely to increase cardiovascular risk in an active subsistence population., eLife digest Genes contain the instructions needed for a cell to make molecules called proteins, which perform various roles in the body. Different variants of a gene can affect how the protein works, and in some cases, can increase a person’s risk to develop certain diseases. For example, people who carry a version of the apolipoprotein E gene called APOE4 have a greater risk of developing Alzheimer’s disease or heart disease. Individuals with two copies of this genetic variant have a 45% higher risk of heart disease and 12 times higher risk of Alzheimer’s disease. Studies in industrialized countries suggest this increased risk may be the result of higher cholesterol and inflammation in people with APOE4. But if APOE4 is harmful, why does it continue to be so common worldwide? One potential explanation is that APOE4, which has been around since before modern humans, may be beneficial in some contexts. Cholesterol is essential for many vital tasks in the body. In physically demanding environments where parasitic infections are common – conditions similar to those experienced by early humans – APOE4 might be beneficial. Under those circumstances, having more cholesterol might help fuel metabolic activities, fight infections, or reduce inflammation caused by infections. Garcia et al. investigated the link between the APOE4 genetic variant, cholesterol and inflammation in 1,266 Indigenous Tsimane people from 80 villages in Bolivia. Tsimane people live an active lifestyle foraging and farming for food. Parasite infections are a common problem in their communities, but obesity rates are very low. Garcia et al. found that Tsimane people with at least one copy of the APOE4 have lower levels of inflammation and higher levels of cholesterol than those who have two copies of the APOE3 version of the gene. Very lean people with APOE4 had especially high levels of the so called “bad” low density lipoprotein (LDL) cholesterol compared to people with APOE3 only. However, in this situation, storing a little extra cholesterol may not be so bad. The findings contradict other studies that have linked obesity to higher LDL levels and APOE4 to higher levels of inflammation. For the majority of human history, humans lived in more physically strenuous and calorically restrictive environments, with less access to clean water. Garcia et al. suggest that the harmful effects of APOE4 seen in studies in more industrialized societies – where people tend to be more sedentary and have less exposure to pathogens – may reflect a mismatch between a person’s environment and their genes. More studies that capture the diversity of environmental conditions under which people live will help clarify the role of APOE4 health and disease.

BackgroundSex-differences in cancer occurrence and mortality are evident across tumor types; men exhibit higher rates of incidence and often poorer responses to treatment. Targeted approaches to the treatment of tumors that account for these sex-differences require the characterization and understanding of the fundamental biological mechanisms that differentiate them. Hepatocellular Carcinoma (HCC) is the second leading cause of cancer death worldwide, with the incidence rapidly rising. HCC exhibits a male-bias in occurrence and mortality, but previous studies have failed to explore the sex-specific dysregulation of gene expression in HCC.MethodsHere, we characterize the sex-shared and sex-specific regulatory changes in HCC tumors in the TCGA LIHC cohort using combined and sex-stratified differential expression and eQTL analyses.ResultsBy using a sex-specific differential expression analysis of tumor and tumor-adjacent samples, we uncovered etiologically relevant genes and pathways differentiating male and female HCC. While both sexes exhibited activation of pathways related to apoptosis and cell cycle, males and females differed in the activation of several signaling pathways, with females showing PPAR pathway enrichment while males showed PI3K, PI3K/AKT, FGFR, EGFR, NGF, GF1R, Rap1, DAP12, and IL-2 signaling pathway enrichment. Using eQTL analyses, we discovered germline variants with differential effects on tumor gene expression between the sexes. 24.3% of the discovered eQTLs exhibit differential effects between the sexes, illustrating the substantial role of sex in modifying the effects of eQTLs in HCC. The genes that showed sex-specific dysregulation in tumors and those that harbored a sex-specific eQTL converge in clinically relevant pathways, suggesting that the molecular etiologies of male and female HCC are partially driven by differential genetic effects on gene expression.ConclusionsSex-stratified analyses detect sex-specific molecular etiologies of HCC. Overall, our results provide new insight into the role of inherited genetic regulation of transcription in modulating sex-differences in HCC etiology and provide a framework for future studies on sex-biased cancers.

We hypothesize that, ancestrally, sex-specific immune modulation evolved to facilitate survival of the pregnant person in the presence of an invasive placenta and an immunologically challenging pregnancy - an idea we term the 'pregnancy compensation hypothesis' (PCH). Further, we propose that sex differences in immune function are mediated, at least in part, by the evolution of gene content and dosage on the sex chromosomes, and are regulated by reproductive hormones. Finally, we propose that changes in reproductive ecology in industrialized environments exacerbate these evolved sex differences, resulting in the increasing risk of autoimmune disease observed in females, and a counteracting reduction in diseases such as cancer that can be combated by heightened immune surveillance. The PCH generates a series of expectations that can be tested empirically and that may help to identify the mechanisms underlying sex differences in modern human diseases.

Summary Purpose The purpose of our study was to assess whether a model combining clinical factors, MR imaging features, and genomics would better predict overall survival of patients with glioblastoma (GBM) than either individual data type. Methods The study was conducted leveraging The Cancer Genome Atlas (TCGA) effort supported by the National Institutes of Health. Six neuroradiologists reviewed MRI images from The Cancer Imaging Archive ( http://cancerimagingarchive.net ) of 102 GBM patients using the VASARI scoring system. The patients’ clinical and genetic data were obtained from the TCGA website ( http://www.cancergenome.nih.gov/ ). Patient outcome was measured in terms of overall survival time. The association between different categories of biomarkers and survival was evaluated using Cox analysis. Results The features that were significantly associated with survival were: (1) clinical factors: chemotherapy; (2) imaging: proportion of tumor contrast enhancement on MRI; and (3) genomics: HRAS copy number variation. The combination of these three biomarkers resulted in an incremental increase in the strength of prediction of survival, with the model that included clinical, imaging, and genetic variables having the highest predictive accuracy (area under the curve 0.679 ± 0.068, Akaike's information criterion 566.7, P Conclusion A combination of clinical factors, imaging features, and HRAS copy number variation best predicts survival of patients with GBM.

One recently identified subtype of pediatric B-precursor acute lymphoblastic leukemia (ALL) has been termed BCR-ABL1–like or Ph-like because of similarity of the gene expression profile to BCR-ABL1 positive ALL suggesting the presence of lesions activating tyrosine kinases, frequent alteration of IKZF1, and poor outcome. Prior studies demonstrated that approximately half of these patients had genomic lesions leading to CRLF2 overexpression, with half of such cases harboring somatic mutations in the Janus kinases JAK1 and JAK2. To determine whether mutations in other tyrosine kinases might also occur in ALL, we sequenced the tyrosine kinome and downstream signaling genes in 45 high-risk pediatric ALL cases with either a Ph-like gene expression profile or other alterations suggestive of activated kinase signaling. Aside from JAK mutations and 1 FLT3 mutation, no somatic mutations were found in any other tyrosine kinases, suggesting that alternative mechanisms are responsible for activated kinase signaling in high-risk ALL.

We sequenced 120 candidate genes in 187 high-risk childhood B-precursor acute lymphoblastic leukemias, the largest pediatric cancer genome sequencing effort reported to date. Integrated analysis of 179 validated somatic sequence mutations with genome-wide copy number alterations and gene expression profiles revealed a high frequency of recurrent somatic alterations in key signaling pathways, including B-cell development/differentiation (68% of cases), the TP53/RB tumor suppressor pathway (54%), Ras signaling (50%), and Janus kinases (11%). Recurrent mutations were also found in ETV6 (6 cases), TBL1XR1 (3), CREBBP (3), MUC4 (2), ASMTL (2), and ADARB2 (2). The frequency of mutations within the 4 major pathways varied markedly across genetic subtypes. Among 23 leukemias expressing a BCR-ABL1-like gene expression profile, 96% had somatic alterations in B-cell development/differentiation, 57% in JAK, and 52% in both pathways, whereas only 9% had Ras pathway mutations. In contrast, 21 cases defined by a distinct gene expression profile coupled with focal ERG deletion rarely had B-cell development/differentiation or JAK kinase alterations but had a high frequency (62%) of Ras signaling pathway mutations. These data extend the range of genes that are recurrently mutated in high-risk childhood B-precursor acute lymphoblastic leukemia and highlight important new therapeutic targets for selected patient subsets.

Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas ( TCGA) pilot project aims to assess the value of large- scale multi- dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas - the most common type of primary adult brain cancer - and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol- 3- OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.

SummaryFemales with germline mutations in BRCA1 are predisposed to develop breast and ovarian cancers. A previous report indicated that BRCA1 colocalizes with and is necessary for the correct localization of XIST, a noncoding RNA that coats the inactive X chromosome (Xi) to mediate formation of facultative heterochromatin. A model emerged from this study suggesting that loss of BRCA1 in female cells could reactivate genes on the Xi through loss of the XIST RNA. However, our independent studies of BRCA1 and XIST RNA revealed little evidence to support this model. We report that BRCA1 is not enriched on XIST RNA-coated chromatin of the Xi. Neither mutation nor depletion of BRCA1 causes significant changes in XIST RNA localization or X-linked gene expression. Together, these results do not support a role for BRCA1 in promoting XIST RNA localization to the Xi or regulating XIST-dependent functions in maintaining the stability of facultative heterochromatin.

Cancers have been described as wounds that do not heal, suggesting that the two share common features. By comparing microarray data from a model of renal regeneration and repair (RRR) with reported gene expression in renal cell carcinoma (RCC), we asked whether those two processes do, in fact, share molecular features and regulatory mechanisms. The majority (77%) of the genes expressed in RRR and RCC were concordantly regulated, whereas only 23% were discordant (i.e., changed in opposite directions). The orchestrated processes of regeneration, involving cell proliferation and immune response, were reflected in the concordant genes. The discordant gene signature revealed processes (e.g., morphogenesis and glycolysis) and pathways (e.g., hypoxia-inducible factor and insulin-like growth factor-I) that reflect the intrinsic pathologic nature of RCC. This is the first study that compares gene expression patterns in RCC and RRR. It does so, in particular, with relation to the hypothesis that RCC resembles the wound healing processes seen in RRR. However, careful attention to the genes that are regulated in the discordant direction provides new insights into the critical differences between renal carcinogenesis and wound healing. The observations reported here provide a conceptual framework for further efforts to understand the biology and to develop more effective diagnostic biomarkers and therapeutic strategies for renal tumors and renal ischemia. (Cancer Res 2006; 66(14): 7216-24)

This work examined the role of constitutional genetic variation at the glutathione S-transferase M1 (GSTM1) and NAD(P)H:quinone oxidoreductase 1 (NQO1) detoxification loci in breast cancer development. Methods included contrasting patterns of genetic variations at these loci between cases with breast cancer and healthy controls and assessing the association of genotypes with tumor characteristics. Participants were Caucasian women living in the Greater Philadelphia region, recruited from 1988 to 1994, with recently diagnosed women attending breast cancer clinics at Fox Chase Cancer Center (FCCC) and network affiliated hospitals as cases, and FCCC employees or women attending noncancer clinics as controls. The GSTM1 locus was determined for 402 cases and 238 controls, NQO1 for 346 cases and 235 controls. Results show that neither locus was associated with breast cancer occurrence, with the GSTM1 null genotype occurring at frequencies of 0.560 and 0.563 in cases and controls, respectively [odds ratio (OR) 0.98, 0.95 confidence interval (CI) 0.70–1.38] and the NQO1 wild-type allele at frequencies of 0.808 and 0.845, respectively (OR 0.77, 0.95 CI 0.55–1.06). The GSTM1 null genotype, however, was significantly overrepresented among larger (T3 and T4) primary tumors (OR 7.61, 0.95 CI 1.05–333) and with the occurrence of axillary lymph node metastases (OR 1.62, 0.95 CI 0.98–2.69). NQO1 results revealed that homozygotes for the wild type allele were more likely to have ductal carcinoma and poor histologic grade when compared with individuals carrying one or two mutated alleles (OR 3.50, 0.95 CI 1.41–9.0, and OR 2.26, 0.95 CI 1.18–4.35 for histology type and grade, respectively). We conclude that while these loci are not associated with breast cancer occurrence, the GSTM1 locus is likely associated with tumor progression. NQO1 results suggest that different quinones (possibly estrogenic quinone metabolites) might affect the histological development of breast tumors.

Glutathione S-transferases are important in the detoxification of a wide range of human carcinogens. Previous studies have shown inconsistent associations between the GSTT1 and GSTM1 null genotypes and stomach cancer risk. We investigated the relationship between these and related genotypes and stomach cancer risk in a population-based case-control study in Warsaw, Poland, where stomach cancer incidence and mortality rates are among the highest in Europe. DNA from blood samples was available for 304 stomach cancer patients and 427 control subjects. We observed a 1.48-fold increased risk for stomach cancer (95% confidence interval 0.97-2.25) in patients with the GSTT1 null genotype but no evidence of increased risk associated with the GSTM1, GSTM3 or GSTP1 genotypes. Furthermore, the stomach cancer risk associated with the GSTT1 null genotype varied by age at diagnosis, with odds ratios of 3.85, 1.91, 1.78 and 0.59 for those diagnosed at ages less than 50, 50-59, 60-69 and 70 years or older, respectively (P trend = 0.01). This was due to a shift in the GSTT1 genotype distribution across age groups among stomach cancer patients only. These results suggest that the GSTT1 null genotype may be associated with increased risk of stomach cancer.

Clinical and epidemiologic studies of defined geographic populations can serve as a means of establishing data important for genetic counseling and as a first step in Identifying strategies best suited for Identification of causes. Under the sponsorship of Operation Smile International, clinical, genetic, and epidemiologic studies were carried out at six sites within the Philippines between 1989 and 1996. Patients who were being evaluated for surgical repair of craniofacial anomalies (primarily clefts of the lip and palate) were briefly examined for the presence of associated anomalies, and a family history was obtained to look for the frequency of cleft lip and palate in siblings. Birth records of 47,969 newborns born over an 8-year period at one hospital in Bacolod City in the province of Negros Occidental were reviewed. Medical records of infants born with clefts of the lip and/or palate and other major anomalies were reviewed and birth prevalence rates calculated. Findings include a birth prevalence of 1.94 per 1000 live births for cleft lip with/without palate in the Philippines. Recurrence rates in siblings for nonsyndromic clefts of the lip and palate were 23 per 1000 for cleft lip with or without cleft palate, and 14 per 1000 for cleft palate only. The percentage of clefts associated with multiple anomalies was 21% at birth and 6% for individuals examined during the screening process, providing evidence for a high postnatal death rate. These data provide groundwork for additional etiologic studies including segregation analysis and molecular genetic studies involving linkage or association, as well as for studies of environmental contributions to clefting such as vitamin deficiencies. Preliminary molecular analysis using an association approach is reported in a companion paper. The findings suggest a high incidence of cleft lip and palate in native-born Filipinos.

Metastatic disease is the proximal cause of mortality for most cancers and remains a significant problem for the clinical management of neoplastic disease. Recent advances in global transcriptional analysis have enabled better prediction of individuals likely to progress to metastatic disease. However, minimal overlap between predictive signatures has precluded easy identification of key biological processes contributing to the prometastatic transcriptional state. To overcome this limitation, we have applied network analysis to two independent human breast cancer datasets and three different mouse populations developed for quantitative analysis of metastasis. Analysis of these datasets revealed that the gene membership of the networks is highly conserved within and between species, and that these networks predicted distant metastasis free survival. Furthermore these results suggest that susceptibility to metastatic disease is cell-autonomous in estrogen receptor-positive tumors and associated with the mitotic spindle checkpoint. In contrast, nontumor genetics and pathway activities-associated stromal biology are significant modifiers of the rate of metastatic spread of estrogen receptor-negative tumors. These results suggest that the application of network analysis across species may provide a robust method to identify key biological programs associated with human cancer progression.

BackgroundOvarian cancer remains a significant public health burden, with the highest mortality rate of all the gynecological cancers. This is attributable to the late stage at which the majority of ovarian cancers are diagnosed, coupled with the low and variable response of advanced tumors to standard chemotherapies. To date, clinically useful predictors of treatment response remain lacking. Identifying the genetic determinants of ovarian cancer survival and treatment response is crucial to the development of prognostic biomarkers and personalized therapies that may improve outcomes for the late-stage patients who comprise the majority of cases.MethodsTo identify constitutional genetic variations contributing to ovarian cancer mortality, we systematically investigated associations between germline polymorphisms and ovarian cancer survival using data from The Cancer Genome Atlas Project (TCGA). Using stage-stratified Cox proportional hazards regression, we examined >650,000 SNP loci for association with survival. We additionally examined whether the association of significant SNPs with survival was modified by somatic alterations.ResultsGermline polymorphisms at rs4934282 (AGAP11/C10orf116) and rs1857623 (DNAH14) were associated with stage-adjusted survival (p= 1.12e-07 and 1.80e-07, FDR q= 1.2e-04 and 2.4e-04, respectively). A third SNP, rs4869 (C10orf116), was additionally identified as significant in the exome sequencing data; it is in near-perfect LD with rs4934282. The associations with survival remained significant when somatic alterations.ConclusionsDiscovery analysis of TCGA data reveals germline genetic variations that may play a role in ovarian cancer survival even among late-stage cases. The significant loci are located near genes previously reported as having a possible relationship to platinum and taxol response. Because the variant alleles at the significant loci are common (frequencies for rs4934282 A/C alleles = 0.54/0.46, respectively; rs1857623 A/G alleles = 0.55/0.45, respectively) and germline variants can be assayed noninvasively, our findings provide potential targets for further exploration as prognostic biomarkers and individualized therapies.

Genome-wide association studies (GWAS) have become increasingly common due to advances in technology and have permitted the identification of differences in single nucleotide polymorphism (SNP) alleles that are associated with diseases. However, while typical GWAS analysis techniques treat markers individually, complex diseases (cancers, diabetes, and Alzheimers, amongst others) are unlikely to have a single causative gene. Thus, there is a pressing need for multi–SNP analysis methods that can reveal system-level differences in cases and controls. Here, we present a novel multi–SNP GWAS analysis method called Pathways of Distinction Analysis (PoDA). The method uses GWAS data and known pathway–gene and gene–SNP associations to identify pathways that permit, ideally, the distinction of cases from controls. The technique is based upon the hypothesis that, if a pathway is related to disease risk, cases will appear more similar to other cases than to controls (or vice versa) for the SNPs associated with that pathway. By systematically applying the method to all pathways of potential interest, we can identify those for which the hypothesis holds true, i.e., pathways containing SNPs for which the samples exhibit greater within-class similarity than across classes. Importantly, PoDA improves on existing single–SNP and SNP–set enrichment analyses, in that it does not require the SNPs in a pathway to exhibit independent main effects. This permits PoDA to reveal pathways in which epistatic interactions drive risk. In this paper, we detail the PoDA method and apply it to two GWAS: one of breast cancer and the other of liver cancer. The results obtained strongly suggest that there exist pathway-wide genomic differences that contribute to disease susceptibility. PoDA thus provides an analytical tool that is complementary to existing techniques and has the power to enrich our understanding of disease genomics at the systems-level., Author Summary We present a novel method for multi–SNP analysis of genome-wide association studies. The method is motivated by the intuition that, if a set of SNPs is associated with disease, cases and controls will exhibit more within-group similarity than across-group similarity for the SNPs in the set of interest. Our method, Pathways of Distinction Analysis (PoDA), uses GWAS data and known pathway–gene and gene–SNP associations to identify pathways that permit the distinction of cases from controls. By systematically applying the method to all pathways of potential interest, we can identify pathways containing SNPs for which the cases and controls are distinguished and infer those pathways' role in disease. We detail the PoDA method and describe its results in breast and liver cancer GWAS data, demonstrating its utility as a method for systems-level analysis of GWAS data.

High resolution, system-wide characterizations have demonstrated the capacity to identify genomic regions that undergo genomic aberrations. Such research efforts often aim at associating these regions with disease etiology and outcome. Identifying the corresponding biologic processes that are responsible for disease and its outcome remains challenging. Using novel analytic methods that utilize the structure of biologic networks, we are able to identify the specific networks that are highly significantly, nonrandomly altered by regions of copy number amplification observed in a systems-wide analysis. We demonstrate this method in breast cancer, where the state of a subset of the pathways identified through these regions is shown to be highly associated with disease survival and recurrence.

Bardet-Biedl syndrome is an autosomal recessive disorder characterized by mental retardation, obesity, retinitis pigmentosa, polydactyly and hypogonadism. Other findings include hypertension, diabetes mellitus and renal and cardiovascular anomalies. We have performed a genome-wide search for linkage in a large inbred Bedouin family. Pairwise analysis established linkage with the locus D16S408 with no recombination and a lod score of 4.2. A multilocus lod score of 5.3 was observed. By demonstrating homozygosity, in all affected individuals, for the same allele of marker D16S408, further support for linkage is found, and the utility of homozygosity mapping using inbred families is demonstrated. In a second family, linkage was excluded at this locus, suggesting non-allelic genetic heterogeneity in this disorder.

Utilizing the CEPH (Centre d'Etude du Polymorphisme Humain) reference panel and genotyping data for 24 simple tandem repeat polymorphism (STRP) markers, we have constructed a 15-locus multipoint genetic framework map of human chromosome 22. The markers form a continuous linkage group of 51 cM in males and 81 cM in females. Likely genetic locations are provided for 9 additional STRP sequences. The map was constructed employing the CRIMAP computational methodology to build the multipoint map via a stepwise algorithm. The quality of the framework map was evaluated using a battery of statistical diagnostics that suggest a typing error frequency of 0.1% for markers within the map.

The distal region of chromosome 5q contains a large number of genes, including those implicated in a variety of Mendelian disorders. One of these, Treacher Collins syndrome (TCOF1), is an autosomal dominant disorder of craniofacial development the features of which include conductive hearing loss and cleft palate. Previous studies have localized the TCOF1 locus between D5S519 (proximal) and SPARC (distal). To more accurately define the genetic distance between these markers, and to extend a high resolution genetic map of 5q31-33 to include additional highly informative markers, 15 loci (including polymorphisms for 4 known genes) were mapped through the Centre d'Etude du Polymorphisme Humain reference pedigrees. The resulting genetic map encompasses 29 cM on the sex-averaged map. To help integrate this linkage map with a physical map of the region, 13 loci from 5q31--33, including 6 genes, were used to construct a radiation hybrid map. As eight of the loci are common to both maps this has allowed us to combine the maps. The most likely location for the TCOF1 locus within this marker framework is in the D5S519-SPARC interval; a region estimated to be approximately 880 kb.

Rieger syndrome is an autosomal dominant disorder of morphogenesis in which previous cytogenetic arrangements have suggested chromosome 4 as a candidate chromosome. Using a group of highly polymorphic short tandem repeat polymorphisms (STRP), including a new tetranucleotide repeat for epidermal growth factor (EGF), significant linkage of Rieger syndrome to 4q markers has been identified. Tight linkage to EGF supports its role as a candidate gene, although a recombinant in an unaffected individual has been identified. This study demonstrates the utility of using polymorphic STRP markers when only a limited number of small families are available for study.

Expression of the three major cytosolic classes of glutathione S-transferases (GST; Pi, Alpha and Mu) was examined by 2D gel analysis and Western blotting of biopsies from 26 patients diagnosed with ovarian carcinoma. In contrast to other tissues, at least one 'constitutive' subunit from each of the three major cytosolic GST classes was expressed. In most cases, pi appeared to be the major form present, although levels of alpha and mu subunit expression were approximately equal to pi in some patients. There was no detectable effect of prior chemotherapy on enzyme activity. Mean transferase activity for primary carcinoma was 79.9 +/- 11.9 (mean +/- SEM; nmol min-1 mg-1), with three pair-matched normal tissues showing minor decreases in transferase activity. One sample, in which a 32% increase in tumour enzyme activity was noted, was from a patient with primary disease and was associated with marked overexpression of a relatively basic form of alpha which was absent from the matching normal tissue, but present in 20% of all tumours examined. RFLP analysis of genomic tumour DNA using a human mu class cDNA probe indicated that at least two of the three mu forms (the 'constitutive' form and one other) observed in ovarian tissue were allelic variants, as a one-to-one correlation was observed between the presence of two Hind III fragments at 13.1 and 2.2 kb and expression of a second, more basic, variable form. This latter form was positively identified as the mu class subunit mu based on Southern analysis and was seen to be present in 40% of the samples examined. However, in the absence of mu expression, at least one other mu class subunit probably corresponding to GST psi, was seen to be present. Thus, at least in ovarian tissues, absence of the mu subunit does not necessarily imply a lack of ability to metabolize mu substrates, as psi has similar catalytic activity. A third mu subunit, probably corresponding to GST phi based on its relatively acidic pI, was also noted in 72% of samples examined, but has unknown substrate specificity. Increased expression of both alpha and mu forms may be of relevance to disease diagnosis and drug response.

cDNA clones for a human HOX 7 gene obtained with homologous clones of Drosophila were used in human gene mapping studies. The human cDNA clone was isolated from a library constructed from human embryonic craniofacial material. The sequence of the cDNA demonstrates significant homology with mouse HOX 7. A search for RFLPs identified MboII and BstEII variants. A CA dinucleotide repeat with 5 alleles was also identified and allowed placement of HOX 7 into a defined linkage map. Evidence for linkage disequilibrium was found with markers tested. These results place the human HOX 7 gene in a defined position on 4p.

This paper describes the Centre d'Etude du Polymorphisme Humain (CEPH) consortium linkage map of human chromosome 1. The map contains 101 loci defined by genotypes generated from CEPH family DNAs with 146 different contributions from 11 laboratories. A total of 58 loci are uniquely placed on the map with likelihood support of at least 1000:1. The map extends from loci in the terminal bands of both chromosome arms (locus D1Z2 in 1p36.3 and D1S68 in 1q44) and is anchored at the centromere by the D1Z5 alpha-satellite polymorphism. With the exception of a single locus, the remaining loci are arrayed on the fixed map in short intervals and their possible locations are indicated. Multipoint linkage analyses provided estimates that the male, female, and sex-averaged maps extend for 308, 478, and 390 cM, respectively. The sex-averaged map contains only four intervals greater than 15 cM, and the mean genetic distance between the 58 uniquely placed loci is 6.7 cM.

This unit details the specialized resources and procedures used for constructing reference genetic maps. Construction of such maps in humans represents a subset of the linkage analysis problem. Objectives include the addition of a new locus to an established map, development of a detailed map of loci in a localized area, and construction of de novo maps. Conceptually, the procedures for updating a reference map through the addition of a subset of new loci are similar to those used in establishing linkage for a disease locus. However, construction of new maps of multiple loci is most efficiently accomplished using different family resources that permit the use of accumulated typing resources and alternative, highly efficient statistical methods.

We introduce a novel technique to determine the expression state of a gene from quantitative information measuring its expression. Adopting a productive abstraction from current thinking in molecular biology, we consider two expression states for a gene - Up or Down. We determine this state by using a statistical model that assumes the data behaves as a combination of two biological distributions. Given a cohort of hybridizations, our algorithm predicts, for the single reading, the probability of each gene's being in an Up or a Down state in each hybridization. Using a series of publicly available gene expression data sets, we demonstrate that our algorithm outperforms the prevalent algorithm. We also show that our algorithm can be used in conjunction with expression adjustment techniques to produce a more biologically sound gene-state call. The technique we present here enables a routine update, where the continuously evolving expression level adjustments feed into gene-state calculations. The technique can be applied in almost any multi-sample gene expression experiment, and holds equal promise for protein abundance experiments.

Several recent studies have shown a genetic influence on gene expression variation, including variation between the two chromosomes within an individual and variation between individuals at the population level. We hypothesized that genetic inheritance may also affect variation in chromatin states. To test this hypothesis, we analyzed chromatin states in 12 lymphoblastoid cells derived from two Centre d'Etude du Polymorphisme Humain families using an allele-specific chromatin immunoprecipitation (ChIP-on-chip) assay with Affymetrix 10K SNP chip. We performed the allele-specific ChIP-on-chip assays for the 12 lymphoblastoid cells using antibodies targeting at RNA polymerase II and five post-translation modified forms of the histone H3 protein. The use of multiple cell lines from the Centre d'Etude du Polymorphisme Humain families allowed us to evaluate variation of chromatin states across pedigrees. These studies demonstrated that chromatin state clustered by family. Our results support the idea that genetic inheritance can determine the epigenetic state of the chromatin as shown previously in model organisms. To our knowledge, this is the first demonstration in humans that genetics may be an important factor that influences global chromatin state mediated by histone modification, the hallmark of the epigenetic phenomena., Author Summary Human health and disease are determined by an interaction between genetic background and environmental exposures. Both normal development and disease are mediated by epigenetic regulation of gene expression. The epigenetic regulation causes heritable changes in gene expression, which is not associated with DNA sequence changes. Instead, it is mediated by chemical modification of DNA such as DNA methylation or by protein modifications such as histone acetylation and methylation. Although much has been known about epigenetic inheritance during development, little is known about the influence of the genetic background on epigenetic processes such as histone modifications. In this report the authors studied five histone modifications on a genome-wide level in cells from different families. Global epigenetic states, as measured by these histone modifications, showed a similar pattern for cells derived from the same family. This study demonstrates that genetic inheritance may be an important factor influencing global chromatin states mediated by histone modifications in humans. These observations illustrate the importance of integrating genetic and epigenetic information into studies of human health and complex diseases.

We examined the long arm XY pseudoautosomal region for linkage to asthma, serum IgE, and bronchial hyperresponsiveness. In 57 Caucasian families multipoint nonparametric analyses provide evidence for linkage between DXYS154 and bronchial hyperresponsiveness (P = 0.000057) or asthma (P = 0.00065). This genomic region is approximately 320 kb in size and contains the interleukin-9 receptor gene. These results suggest that a gene controlling asthma and bronchial hyperresponsiveness maybe located in this region and that the interleukin-9 receptor is a potential candidate.

BackgroundEsophageal squamous cell carcinoma (ESCC) is a common malignancy worldwide. Comprehensive genomic characterization of ESCC will further our understanding of the carcinogenesis process in this disease.ResultsGenome-wide detection of chromosomal changes was performed using the Affymetrix GeneChip 10 K single nucleotide polymorphism (SNP) array, including loss of heterozygosity (LOH) and copy number alterations (CNA), for 26 pairs of matched germ-line and micro-dissected tumor DNA samples. LOH regions were identified by two methods – using Affymetrix's genotype call software and using Affymetrix's copy number alteration tool (CNAT) software – and both approaches yielded similar results. Non-random LOH regions were found on 10 chromosomal arms (in decreasing order of frequency: 17p, 9p, 9q, 13q, 17q, 4q, 4p, 3p, 15q, and 5q), including 20 novel LOH regions (10 kb to 4.26 Mb). Fifteen CNA-loss regions (200 kb to 4.3 Mb) and 36 CNA-gain regions (200 kb to 9.3 Mb) were also identified.ConclusionThese studies demonstrate that the Affymetrix 10 K SNP chip is a valid platform to integrate analyses of LOH and CNA. The comprehensive knowledge gained from this analysis will enable improved strategies to prevent, diagnose, and treat ESCC.

Iron has been suggested to be a risk factor for colorectal neoplasia. Some individuals who are heterozygous for mutations in the hemochromatosis gene (HFE) have higher than average serologic measures of iron. We therefore investigated whether heterozygosity for HFE mutations was related to risk of advanced distal adenoma and whether the relationship was affected by dietary iron intake. In the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial, 679 persons with advanced distal adenoma and 697 control persons were genotyped for the two major HFE mutations (C282Y and H63D), one HFE polymorphism (IVS2+4), and one polymorphism (G142S) in the transferrin receptor gene (TFRC). HFE haplotypes were also created to examine the effect of haplotype on risk. Food frequency questionnaire data were used to estimate daily iron intake. There was no relationship between any HFE genotype or haplotype and advanced adenoma. Stratification of HFE genotype by TFRC genotype did not change the results. In addition, there was no relationship between dietary iron intake and risk of adenoma or between HFE genotype and risk of adenoma, stratified by iron intake. These results do not support a relationship between HFE heterozygosity and risk of advanced distal adenoma.

We immunohistochemically examined 12 core proteins involved in the chromatin remodeling machinery using a tissue microarray composed of 150 lung adenocarcinoma (AD) and 150 squamous cell carcinoma (SCC) cases. Most of the proteins showed nuclear staining, whereas some also showed cytoplasmic or membranous staining. When the expression patterns of all tested antigens were considered, proteins with nuclear staining clustered into two major groups. Nuclear signals of BRM, Ini-1, retinoblastoma, mSin3A, HDAC1, and HAT1 clustered together, whereas nuclear signals of BRG1, BAF155, HDAC2, BAF170, and RbAP48 formed a second cluster. Additionally, two thirds of the cases on the lung tissue array had follow-up information, and survival analysis was performed for each of the tested proteins. Positive nuclear BRM (N-BRM) staining correlated with a favorable prognosis in SCC and AD patients with a 5 year-survival of 53.5% compared with 32.3% for those whose tumors were negative for N-BRM (P = 0.015). Furthermore, patients whose tumors stained positive for both N-BRM and nuclear BRG1 had a 5 year-survival of 72% compared with 33.6% (P = 0.013) for those whose tumors were positive for either or negative for both markers. In contrast, membranous BRM (M-BRM) staining correlated with a poorer prognosis in AD patients with a 5 year-survival of 16.7% compared with those without M-BRM staining (38.1%; P = 0.016). These results support the notion that BRM and BRG1 participate in two distinct chromosome remodeling complexes that are functionally complementary and that the nuclear presence of BRM, its coexpression with nuclear BRG1, and the altered cellular localization of BRM (M-BRM) are useful markers for non-small cell lung cancer prognosis.

Myodystrophy (myd), an autosomal recessive mutation of the mouse characterized by progressive weakness and dystrophic muscle histology, maps to the central portion of Chromosome (Chr) 8 (Lane et al. J. Hered 67, 135, 1976). This portion of Chr 8 contains the genes for a mitochondrial uncoupling protein (Ucp) and kallikrein (Kal3), which map to distal 4q in the human, providing evidence for a segment of homology. Characteristics of the myd phenotype coupled with this homology suggest that myd may be a mouse homolog of facioscapulohumeral muscular dystrophy (FSHD), which maps to human 4q35. We have confirmed and expanded the region of mouse 8-human 4 homology by generating a map of Chr 8 in an interspecific backcross of C57BL/6J and a partially inbred strain derived from M. spretus. The map is comprised of the genes for Ucp, coagulation factor XI (Cfl1), and chloride channel 5 (Clc5), all of which have homologs on distal human 4q, 15 microsatellite loci, and the membrane cofactor protein pseudogene (Mcp-ps). To place myd in the genetic map, 75 affected progeny from an intersubspecific backcross of animals heterozygous for myd with Mus musculus castaneus were genotyped with Chr 8 microsatellite loci. The mutation maps between D8Mit30 and D8Mit75, an interval that is flanked by genes with human homologs at distal 4q. These results are consistent with the possibility that myd is the mouse homolog of FSHD.

Cigarette smoking is the dominant risk factor for lung cancer, but only a minority of smokers ever develops tumors. Though genetic susceptibility is likely to explain some of the variability in risk, results from previous studies of genetic polymorphisms have been inconclusive. As diet may also affect the risk of lung cancer, it is possible that the degree of risk produced by smoking and genetic susceptibility varies, depending on diet. To assess this hypothesis, we conducted a case-control study to examine the effect of cigarette smoking, dietary patterns and variation in genes involved in phase II metabolism. A total of 254 individuals with lung cancer and 184 healthy controls were recruited for the study. To identify persons with similar dietary patterns, cluster analysis was performed using nutrient densities of four major dietary constituents: protein, carbohydrate, animal fat, and dietary fiber. Two groups of individuals were identified with distinct dietary patterns: (1) a group (n=241) with a high intake of animal fat and protein and a low intake of carbohydrates and dietary fiber (the 'unhealthy' pattern) and (2) a group (n=197) with a high intake of fiber and carbohydrate and a low intake of protein and animal fat (the 'healthy' pattern) [corrected]. On stratified analysis, several genotype/dietary pattern combinations were found to affect risk of lung cancer. Smokers who were not homozygous for the most common GSTP1 allele and had a healthy dietary pattern were at significantly lower risk than smokers who were homozygous for the GSTP1 common allele and who had an unhealthy dietary pattern (OR=0.16, 95%CI: 0.04-0.57). Among smokers who were GSTM1 null, persons with a healthy dietary pattern were at lower risk than persons with an unhealthy dietary pattern (OR: 0.46, 95%CI: 0.21-1.01). Among smokers with an unhealthy dietary patterns, persons with a His/His genotype in the exon 3 polymorphism of EPHX1 were at significantly lower risk that persons who were not homozygous. These data suggest that dietary factors may affect the risk imposed by genetic susceptibility at detoxification loci. Adjustments using dietary pattern may be useful in elucidating the effects of polymorphisms in genes responsible for carcinogen metabolism.

The genetic basis of disease susceptibility can be studied by several means, including research on animal models and epidemiological investigations in humans. The two methods are infrequently used simultaneously, but their joint use may overcome the disadvantages of either method alone. We used both approaches in an attempt to understand the genetic basis of aflatoxin B(1) (AFB(1))-related susceptibility to hepatocellular carcinoma (HCC). Ingestion of AFB(1) is a major risk factor for HCC in many areas of the world where HCC is common. Whether humans vary in their ability to detoxify the active intermediate metabolite of AFB(1), AFB(1)-exo-8,9-epoxide, is not certain but may explain why all exposed individuals do not develop HCC. To determine whether human variability in detoxification may exist, in a study of 231 HCC cases and 256 controls, we genotyped eleven loci in two families of AFB(1) detoxification genes; the glutathione S-transferases (GSTs) and the epoxide hydrolases (EPHX). After adjustment for multiple comparisons, only one polymorphism in the epoxide hydrolase family 2 locus remained significantly associated with HCC (odds ratio = 2.06, 95% confidence interval = 1.13-3.12). To determine whether additional susceptibility loci exist, we developed a mouse model system to examine AFB(1)-induced HCC. Susceptibility of 7-day-old mice from two common inbred strains (C57BL/6J, DBA/2J) was assessed. DBA/2J animals were 3-fold more sensitive to AFB(1)-induced HCC and significantly more sensitive to AFB(1) acute toxicity than were C57BL/6J animals. Analysis of the xenobiotic metabolizing genes in the two strains revealed single nucleotide polymorphisms in three genes, Gsta4, Gstt1, and Ephx1. Although the GSTT1 and EPHX1 loci did not appear to be related to HCC in the total population of the human study, a polymorphism in GSTA4 was significantly related to risk in the male subset. The mouse model also demonstrated that absent or compromised p53 was not necessary for the development of carcinogenesis. These results indicate that the comparison of results from human studies and the AFB(1)-susceptible mouse model may provide new insights into hepatocarcinogenesis.

Variations in gene sequence and expression underlie much of human variability. Despite the known biological roles of differential allelic gene expression resulting from X-chromosome inactivation and genomic imprinting, a large-scale analysis of allelic gene expression in human is lacking. We examined allele-specific gene expression of 1063 transcribed single-nucleotide polymorphisms (SNPs) by using Affymetrix HuSNP oligo arrays. Among the 602 genes that were heterozygous and expressed in kidney or liver tissues from seven individuals, 326 (54%) showed preferential expression of one allele in at least one individual, and 170 of those showed greater than fourfold difference between the two alleles. The allelic variation has been confirmed by real-time quantitative PCR experiments. Some of these 170 genes are known to be imprinted, such as SNRPN, IPW, HTR2A, and PEG3. Most of the differentially expressed genes are not in known imprinting domains but instead are distributed throughout the genome. Our studies demonstrate that variation of gene expression between alleles is common, and this variation may contribute to human variability.

Chronic lymphocytic leukaemia (CLL) accounts for about 30% of all leukaemias and is most prevalent in older individuals. Significant familial aggregation has been demonstrated but the mode of inheritance is unknown. Recurrent cytogenetic abnormalities are frequently found in CLL tumour cells but no susceptibility genes have been confirmed. We have collected clinical data and biospecimens on families ascertained for having at least two living patients with CLL. The current study included DNA samples from 94 individuals (38 affected patients) in 18 families. We have carried out a genome scan using the ABI 28-panel medium density linkage mapping set (average spacing of 10 cM and average heterozygosity of 80%). Genotypes for 359 markers were scored. Multipoint limit of detection (lod) scores were calculated, assuming both dominant and recessive inheritance and allowing for increased penetrance with age and genetic heterogeneity. Non-parametric linkage scores were also calculated. Lod scores of 1.0 or greater were found on regions of chromosomes 1, 3, 6, 12, 13 and 17, but none of these loci achieved statistical significance. Four of these six regions (6q, 13q, 12 and 17p) coincide with areas where cytogenetic abnormalities are frequently observed in CLL tumour cells and are, therefore, strong candidate regions for containing germ line changes.

Primary hepatocellular carcinoma (HCC) is a significant cause of cancer morbidity and mortality on the global scale. Although epidemiologic studies have identified major risk factors for HCC, the sequence of oncogenic events at the molecular level remains poorly understood. While genetic allele loss appears to be a common event, the significance of the loss is not clear. In order to determine whether allele loss appears to be a random event among HCCs or whether patterns of loss cluster in groups of tumors, a phylogenetic approach was used to examine 32 tumors for genome-wide loss of heterozygosity employing 391 markers. Clusters identified by the phylogenetic analysis were then contrasted to compare candidate locus variation among individuals and to determine whether certain clusters exhibited higher loss rates than other clusters. The analysis found that 3 major and 1 minor cluster of loss could be identified and, further, these clusters were distinguished by variable rates of loss (cluster 1, 29%; cluster 2, 21%; cluster 3, 16%). The analyses also indicated that the allele loss rates in HCC were not insignificant and that the patterns of allele loss were complex. In addition, the results indicated that an individual's constitutional genotype at the EPHX1 locus may be a critical factor in determining the path of tumor evolution. In conclusion, it appears that in HCC, allele loss is not random, but clusters into definable groups that are characterized by distinctive rates of loss.

Population-based candidate-gene studies can be an effective strategy for identifying genes involved in the etiology of disorders where family-based linkage studies are compromised by lack of access to affected members, low penetrance, and/or genetic heterogeneity. We evaluated association data for four candidate genes using a population from the Philippines that Is genetically separate from previously studied Caucasian populations. Case ascertainment was made possible by collaboration with Operation Smile, a volunteer medical organization, which facilitated Identification of a large number of cases for study. A new allelic variant of transforming growth factor-beta3 was identified to use in these studies. After exclusion of syndromic cases of cleft lip and palate, no evidence for association with previously reported allelic variants of transforming growth factor-beta2 (TGFB2), homeobox 7 (MSX1), or transforming growth factor-alpha (TGFA), or with the new TGFB3 variant was detected. Previous association studies using Caucasian populations of nonsyndromic cleft lip and/or palate (CUP) and cleft palate only (CPO) have strongly suggested a role for TGFA in the susceptibility of clefting in humans. Exclusion of significant association in a non-Caucasian population for TGFA suggests that TGFA plays less of a role than it does in Caucasians. This may be due to multiple or different genetic and/or environmental factors contributing to the etiology of this most common craniofacial anomaly in the Philippine population.

The expansion of a (CAG/CTG) n triplet repeat has been found to be associated with at least seven genetic diseases, suggesting that this mechanism of disease may be fairly common. To accelerate the discovery of new loci containing (CAG/CTG) n triplet expansions, we have isolated numerous genomic clones containing this class of repeats. We have developed 338 sequence-tagged sites (STSs) containing (CAG/CTG) n repeat sequences. Two hundred ninety-nine STSs were unambiguously assigned to chromosomes, and 89 of the total were assigned to YACs. The 141 STSs that were developed based on (CAG/CTG) n repeats of at least seven units were genotyped on four reference CEPH individuals to estimate their polymorphic quality.

This report describes the localization of a gene encoding a voltage-dependent chloride channel to human chromosome 4q32 and to mouse chromosome 8 using fluorescence in situ hybridization. Mutations in these voltage-gated chloride channel genes have been implicated in various hereditary diseases. 14 refs., 1 fig.

High resolution linkage maps have proven to be invaluable tools in genetic investigations. We have assembled a collection of genetic maps constructed from primary data collected from investigators performing genotyping using the Centre Etude Polymorphism Humain (CEPH) reference pedigree panel. These maps were constructed using a rigorous, semi-automated map construction algorithm that evaluates the integrity of the maps during construction. Two classes of maps were produced: a high confidence "skeletal" set composed of 544 PCR based markers, and a more highly annotated "framework" set containing maps of 1,123 markers. Genetic map locations within the framework maps are provided for an additional 1,758 loci without statistically unique interval assignments.

A 280 kilobase (kb) contig was isolated from mouse genomic P1 and cosmid libraries, using as probes human cDNA and genomic DNA fragments that map in the interval between the second component of complement and tumor necrosis factor genes of the HLA complex. The clone contig demonstrates synteny of eleven mouse genes that are homologous to genes initially mapped within the human major histocompatibility complex. These include the mouse homologs of BAT2 (HLA-B-associated transcript 2) through BAT9 and also three HSP70-related genes. Five P1 clones form a contig of 240 kb that spans from BAT9 through BAT3. Twelve cosmid clones are arranged in three contigs that confirm most of the structure of the P1 contig and link the mouse BAT3 homolog to the BAT2 homolog approximately 15 kb farther telomeric. Polymorphic DNA markers within the cloned region were used to map the cleft palate susceptibility-1 (Cps-1) locus to the interval between Hsp70.1 and BAT6 (valyl-tRNA synthetase). This refines the location of the Cps-1 locus to a 45 kb region contained in the H2-124 P1 insert.

We identified a cosmid clone with exact sequence homology to part of the human dopamine D5 receptor gene (DRD5) after screening a cosmid library with the human DRD1 gene. The dopamine D5 receptor was mapped to chromosome 4p15.1-p15.3 by in situ hybridization and using a somatic cell hybrid panel. We report here the further localization of the DRD5 gene following identification of a highly polymorphic dinucleotide repeat sequence in the cosmid clone. The microsatellite (D5(CT/GT/GA)n) had 12 alleles with a polymorphic information content value of 0.77. Linkage analysis in 39 CEPH pedigrees demonstrated tight linkage to the chromosome 4p reference marker RAF1P1 (Zmaxf 20.66 at theta f 0.05 and ZmaxM 16.57 at theta m 0.07).

Germ-line mutations of tumor suppressor genes confer strong predisposition to tumor formation. In the rat, a form of dominantly inherited renal carcinoma (RC) results in multiple chromophobe cell tumors that resemble the human disease, and heterozygous carriers (RC/+) are highly susceptible to environmental agents (radiation and chemical carcinogens), making it a desirable model to study epithelial carcinogenesis. By linkage analysis, the locus of the inherited RC mutation was mapped to rat chromosomal band 10q12, near the protamine locus (logarithm of odds score = 17.96). Renal tumors also showed a loss of heterozygosity at this locus, lending support to the recessive nature of this putative tumor suppressor gene. Our result suggested that the human homolog of the RC gene may reside on human chromosome 16, not known to be altered commonly in human RC.

Characterization of inherited variations within tandem arrays of dinucleotide repeats has substantially advanced the construction of genetic maps using linkage approaches over the last several years. Using a backbone of 10 newly identified microsatellite repeats on human chromosome 4 and 6 previously identified short tandem repeat element polymorphisms, we have constructed several genetic maps and a physical map of human chromosome 4. The genetic and physical maps are in complete concordance with each other. The genetic maps include a 15-locus microsatellite-based linkage map, a framework map of high support incorporating a total of 39 independent loci, a 25-locus high-heterozygosity, easily used index map, and a gene-based comprehensive map that provides the best genetic location for 35 genes mapped to chromosome 4. The 16 microsatellite markers are each localized to one of nine regions of chromosome 4, delineated by a panel of somatic cell hybrids. These results demonstrate the utility of PCR-based repeat elements for the construction of genetic maps and provide a valuable resource for continued high-resolution mapping of chromosome 4 and of genetic disorders to this chromosome.

Primary hepatocellular carcinoma (PHC), although relatively uncommon in the United States and western countries, is one of the three most common causes of cancer mortality in the world, accounting for 250,000 to 1,000,000 deaths per year (1). In Taiwan, it is the leading cause of death for men over 40 years of age (30/100,000/yr at age 40 rising to 100/100,000/yr at age 60) (2). Even in the United States, there are about 5,000 deaths per year from PHC, giving an age-adjusted annual mortality of 2.2/100,000, which is three times that of Hodgkin's disease (0.7/100,000) (3). The incidence of PHC is essentially the same as the mortality, the five-year survival being in the 2-3 % range. Thus far, the only therapy that appears to improve survival is the resection of small (less than 3 cm in diameter) asymptomatic tumors (4).

We detected a large number of polymorphic insulin restriction fragments in black Americans. These different size fragments were probably generated by unequal recombination on both sides of the human insulin gene. Population genetic analysis indicates that recombination occurred 33 times more frequently than expected to generate this large number of polymorphic fragments. Specific properties of the unique repeated 14- to 16-base-pair sequences 5' to the insulin gene suggest that this sequence would promote increased unequal recombination. Additional pedigree analysis showed that the recombination rate between the structural insulin and beta-globin gene loci was 14% with strong evidence for linkage. Since both insulin and beta-globin have been mapped to the short arm of human chromosome 11, this study establishes that the genetic map distance between these genes is 14.2 centimorgans.

RFLPs for laminin B2 (LAMB2) are reported. These RFLPs were used to study the linkage relationships of LAMB2 to four other genes on lq: Duffy (FY), renin (REN), decay accelerating factor (DAF), and complement receptor 2 (CR2). Multipoint linkage analysis placed LAMB2 between FY and the cluster including REN, DAF, and CR2. This provides a useful bridging polymorphic marker on lq and establishes significant linkage of LAMB2 to FY (theta = 3.23, z = 3.85) and REN (theta = 0.17, z = 4.88).