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L R Goldin

Publications and source records attributed to L R Goldin.

At least 19 recordsLinked to original sources
PubMed1998

Closing in on genes for manic-depressive illness and schizophrenia.

Advances in the human genetic map, and in genetic analysis of linkage and association in complex inheritance traits, have led to genetic progress in the major psychoses. For chromosome 6 in schizophrenia, and chromosomes 18 and 21 in manic-depressive illness, there are reports of linkage in several independent data sets. These are small effect genes, best detected with affected-relative-pair linkage methods. Association with candidate genes is an alternative strategy to uncovering susceptibility genes for these illnesses, but convincing associations remain to be demonstrated. New clinical and laboratory investigation methods are being developed. Testing every gene in the human genome for association with illness has recently been proposed (Risch and Merikangas 1996). This would require further progress in characterizing the genome and in automated large-scale genotyping. The best type of pedigree sampling for common disease studies, whether for linkage or association, is not yet established. An endophenotype hybrid strategy can combine genetic linkage, association, and pathophysiologic studies. As clinical molecular investigation methods advance, identification of disease susceptibility mutations and delineation of their pathophysiological roles may be expected.

Bipolar Disorder↗
PubMed1998

Optimal ascertainment strategies to detect linkage to common disease alleles.

Traditionally, extended pedigrees with many affected individuals have been studied for the purpose of detection of linkage. For traits caused by a rare susceptibility allele, this is a productive strategy. However, this sampling strategy may not work well for traits determined by multiple loci in which one or more have common susceptibility alleles. We simulated three single-additive-locus models of inheritance and two-locus models with additive or multiplicative interactions, all with rare or common susceptibility alleles. A trait locus was linked, with no recombination, to a marker locus with four equally frequent alleles. Family structure varied, but the total number of affected individuals was held constant. Two generations of individuals were genotyped. We used three nonparametric affected-sib-pair programs and two nonparametric pedigree-analysis programs to perform linkage analysis. For single-locus, additive, and multiplicative models, we found that, when the susceptibility allele was rare, (frequency .0025), extended pedigrees with first or second cousins had the most power for detection of linkage. However, when the susceptibility allele was common in the single-locus, additive, and multiplicative two-locus models (frequency .25), extended pedigrees were no more powerful than nuclear families. There was also a decrease in power when the pedigrees had a greater number of affected individuals, more so for the single-locus and multiplicative models than for the additive model. We conclude that for single-locus, additive, and multiplicative models of qualitative traits with common alleles, there is no benefit to the collection of extended pedigrees, and there may be a loss of power in the collection of pedigrees with many affected individuals.

Chromosome Mapping↗
PubMed1997

Suggestive evidence for a schizophrenia susceptibility locus on chromosome 6q and a confirmation in an independent series of pedigrees.

We have investigated whether there is a locus on chromosome 6 that confers an increased susceptibility to schizophrenia using a two-stage approach and nonparametric linkage analysis. Allele sharing identical by descent (IBD) and multipoint maximum likelihood score (MLS) statistics were employed. Results from two tested data sets, a first data set, or genome scanning data set, and a second replication data set, show excess allele sharing for multiple markers in 6q, a chromosomal region not previously reported as linked to schizophrenia. In our genome scanning data set, excess allele sharing was found for markers on 6q13-q26. The greatest allele sharing was at interval 6q21-q22.3 at marker D6S416 (IBD percentage 69; P = 0.00024). The multipoint MLS values were greater than 2.4 in the 11.4-cM interval delimited by D6S301 and D6S303, with a maximum value of 3.06 close to D6S278 and of 3.05 at D6S454/D6S423. We did not confirm, however, the previously described linkage in 6p, when tested in the systematic genome scanning data set. The replication data set also showed excess allele sharing in chromosomal area 6q13-q26, which overlapped with the aforementioned positive linkage area of the genome scanning data set. The highest sharing of the second data set was at D6S424 (IBD percentage 64; P = 0.0004), D6S283 (IBD percentage 62; P = 0.0009), and D6S423 (IBD percentage 63; P = 0.0009). Multipoint MLS analysis yielded MLS values greater than 1 in an area of about 35 cM, which overlaps with the MLS multipoint area of linkage from the genome scanning data set. The multipoint MLS at the D6S454/D6S423 locus was 2.05. In the second data set, the maximum multipoint MLS was located about 10 cM centromeric from the maximum of the genome scanning data set, at the interval D6S424-D6S275 (2.35). Our results provide very suggestive evidence for a susceptibility locus for schizophrenia in chromosome 6q from two independent data sets.

Alleles↗
PubMed1997

Initial genome scan of the NIMH genetics initiative bipolar pedigrees: chromosomes 1, 6, 8, 10, and 12.

A report on an initial genome screen on 540 individuals in 97 families was collected as part of the NIMH Genetics Initiative on Bipolar Disorder. Families were ascertained to be informative for genetic linkage and underwent a common ascertainment and assessment protocol at four clinical sites. The sample was genotyped for 65 highly polymorphic markers from chromosomes 1, 6, 8, 10, and 12. The average intermarker interval was 16 cM. Genotypic data was analyzed using affected sib pair, multipoint affected sib pair, and pedigree analysis methods. Multipoint methods gave lod scores of approximately two on chromosomes 1, 6, and 10. The peak lod score on chromosome 6 occurred at the end of the q-arm, at some distance from the 6p24-22 area previously implicated for schizophrenia. We are currently genotyping additional markers to reduce the intermarker interval around the signals. The interpretation of results from a genome screen of a complex disorder and the problem of achieving a balance between detecting false positive results and the ability to detect genes of modest effect are discussed.

Bipolar Disorder↗
PubMed1997

Initial genome scan of the NIMH genetics initiative bipolar pedigrees: chromosomes 4, 7, 9, 18, 19, 20, and 21q.

An initial genome scan was performed on 540 individuals from 97 families segregating bipolar disorder, collected through the National Institutes of Mental Health Genetics Initiative. We report here affected-sib-pair (ASP) data on 126 marker loci (approximately 68,000 genotypes) mapping to chromosomes 4, 7, 9, 18, 19, 20, and 21q, under three affection status models. Modest increases in identical-by-descent (IBD) allele sharing were found at the following loci: D4S2397 and D4S391 (P < 0.05) on 4p, D4S1647 (P < 0.05) on 4q, D7S1802 and D7S1869 (low P = 0.01) on 7p, D9S302 (P = 0.004) on 9q, and D20S604 on 20p and D20S173 on 20q (P < 0.05). In addition, five markers on 7q displayed increased IBD sharing (P = 0.046-0.002). Additional ASP analyses on chromosomes 18 and 21q marker data were performed using disease phenotype models defined previously. On chromosome 18, only D18S40 on 18p and D18S70 on 18q yielded a slight elevation in allele sharing (P = 0.02), implying that the reported linkages in these regions were not confirmed. On chromosome 21q, a cluster of markers within an approximately 9 cM interval: D21S1254, D21S65, D21S1440, and D21S1255 exhibited excess allele sharing (P = 0.041-0.008). Multilocus data on overlapping marker quartets, from D21S1265 to D21S1255, which were consistent with increased IBD sharing (P < 0.01, with a low of 0.0009), overlapped a broad interval of excess allele sharing reported previously, increasing support for a susceptibility locus for bipolar disorder on 21q.

Alleles↗
PubMed1997

Initial genomic scan of the NIMH genetics initiative bipolar pedigrees: chromosomes 3, 5, 15, 16, 17, and 22.

As part of the four-center NIMH Genetics Initiative on Bipolar Disorder we carried out a genomic scan of chromosomes 3, 5, 15, 16,17, and 22. Genotyping was performed on a set of 540 DNAs from 97 families, enriched for affected relative pairs and parents where available. We report here the results of the initial 74 markers that have been typed on this set of DNAs. The average distance between markers (theta) was 12.3 cM. Nonparametric analysis of excess allele sharing among affected sibling pairs used the SIBPAL program of the S.A.G.E. package to test three hierarchical models of affected status. D16S2619 gave some evidence of linkage to bipolar disorder, with P = 0.006 for Model II (in which bipolar 1, bipolar 2 and schizoaffective-bipolar type individuals are considered affected). Nearby markers also showed increased allele sharing. A second interesting region was toward the telomere of chromosome 5q, where D5S1456 and nearby markers showed increased allele sharing; for D5S1456, P = 0.05, 0.015 and 0.008 as the models of affected status become more broad. MOD score analysis also supported the possible presence of a susceptibility locus in this region of chromosome 5. A pair of adjacent markers on chromosome 3, D3S2405 and D3S3038, showed a modest increased allele sharing in the broad model. Several isolated markers had excess allele sharing at the P < 0.05 level under a single model. D15S217 showed a MOD score of 2.37 (P < 0.025). Multipoint analysis flagged the region of chromosome 22 around D22S533 as the most interesting. Thus, several regions showed modest evidence for linkage to bipolar disorder in this initial genomic scan of these chromosomes, including broad regions near previous reports of possible linkage.

Alleles↗
PubMed1997

Initial genome screen for bipolar disorder in the NIMH genetics initiative pedigrees: chromosomes 2, 11, 13, 14, and X.

We report on an initial genome screen of 540 individuals from 97 families collected as part of the NIMH Genetics Initiative Bipolar Group. Among the individuals studied, 232 were diagnosed with bipolar (BP) I, 72 with BPII, 88 with major depressive disorder-recurrent type (UPR), and 32 with schizoaffective disorder, bipolar type (SA/BP). A total of 53 markers on chromosomes 2, 11, 13, 14, and X (average spacing: 11.5 cM) were studied at Johns Hopkins University. Tests for linkage were performed using nonparametric affected sib-pair and whole pedigree methods with three definitions of affected status. Three regions of interest were identified (13q14-32, Xp22, and Xq26-28). On chromosomes 2, 11, and 14, a disease locus with relative risk lambda(i) = 1.5 could be excluded in <10% of the genetic distance studied, while a locus conferring lambda(i) = 3 or greater could be excluded across at least 96%. The autosomal region that could not be excluded even with lambda(i) = 5 was near 13q14-32. In this region, two-point affected sib-pair analyses revealed a pair of consecutive loci with excess sharing (P < 0.05) and a multipoint affected sib-pair LOD score of 1.12. On the X chromosome, nonparametric multipoint affected sib-pair analyses revealed peak total LOD scores of 0.94 on Xp22 and 1.34 on Xq26-28. A locus linked to the markers in Xp22 would have lambda(i) = 3.6 in affected brother-brother pairs, while a locus linked to the markers in Xq26-28 would have lambda(i) > 1.9 in affected sister-sister pairs. The results on 13q14-32, Xp22, and Xq26-28 suggest areas of interest for further studies.

Bipolar Disorder↗
PubMed1997

A linkage study of bipolar illness.

BACKGROUND: Although genetic epidemiological studies of bipolar (BP) illness are consistent with a heritable component, inherited risk factors remain unknown. The goal of the present study is to describe the localization of BP susceptibility loci through linkage strategies, including a genome-wide search. METHODS: A linkage study of 22 BP families has been performed. These BP families include almost 400 persons, 173 of whom have been diagnosed as having BP I, schizoaffective, BP II with major depression, or recurrent unipolar illness. Using an autosomal dominant disease model with 85% or 50% age-dependent penetrance, and a recessive model with 85% penetrance, linkage analyses were performed assuming a narrow (BP and schizoaffective) or a broad (BP, schizoaffective, or unipolar) definition of the BP spectrum. Affected sibling pairs and affected pedigree member analyses were performed when positive lod scores were observed in multiple pedigrees. The present article describes linkage analysis of 310 DNA markers on chromosomes 1, 5p, 6, 8, 10q, 11q, and 12 to 18. RESULTS: None of the loci examined disclosed compelling evidence for linkage using lod score analyses. Model-independent analysis by multilocus affected pedigree member method in the pericentromeric chromosome 18 region disclosed statistically significant evidence (P < .0001) for a BP susceptibility gene in this region. Multilocus analysis by affected sibling pair method also disclosed evidence for linkage (P < .00008). CONCLUSIONS: Our results imply that a BP susceptibility gene exists near the centromere of chromosome 18. Confirmation of this finding (by independent investigators studying different pedigrees) has been published, suggesting that a valid BP disease linkage may have been discovered.

Bipolar Disorder↗
PubMed1997

No abnormality in the gene for the G protein stimulatory alpha subunit in patients with bipolar disorder.

BACKGROUND: The available evidence for an involvement of the heterotrimeric guanine-nucleotide-binding proteins (G proteins) in bipolar disorder relies primarily on the effects of lithium salts on G protein function and on alterations in the concentration or function of G proteins (most notably Gs-alpha) in peripheral leukocytes and in postmortem tissues of patients with bipolar disorder. METHODS: The hypothesis that a mutation in Gs-alpha gene confers an increased susceptibility to bipolar disorder was tested by the following strategies: (1) mutational screening of the Gs-alpha subunit gene coding sequences and promoter sequences by denaturing gradient gel electrophoresis in unrelated individuals with bipolar disorder and (2) association and linkage analyses with a common silent exonic polymorphism, using genetic allelic information from American families with at least 1 affected child. For association analysis, the transmission test for linkage disequilibrium was used; for linkage analysis, nonparametric methods were used. RESULTS: No structural or regulatory mutations in this gene were found in bipolar disorder; the results of association and genetic linkage were negative. CONCLUSION: Our results do not support the speculation that the Gs-alpha protein gene has a role in the genetic predisposition to bipolar disorder.

Base Sequence↗
PubMed1997

Bipolar disorder and chromosome 18: an analysis of multiple data sets.

There have been conflicting reports of linkage between bipolar disorder and chromosome 18. We have analyzed five separate data sets using the two-point affected sib-pair method and family based association methods. We have found evidence of linkage in multiple data sets and differences in maternal and paternal allele sharing. Suggestive, though nonsignificant, evidence of linkage disequilibrium of two tightly linked markers has also been demonstrated in multiple data sets.

Bipolar Disorder↗
PubMed1997

Improvement of the power to detect complex disease genes by regional inference procedures.

Theoretical studies and simulations suggest that "true" linkage peaks are longer than "false" peaks of the same significance level. Our goal for this study was to improve the power of linkage detection by using a regional criterion for linkage; that is, requiring more than one p-value in a given region to pass a threshold. We tested this method by determining the power and type I error for finding the underlying loci on chromosomes 5 and 8 that contribute to the variability of Q1 (after adjusting Q1 for covariates). We used the Haseman-Elston sib-pair statistic to test for linkage of all 367 markers to the adjusted Q1 trait in 100 replicates. We compared the regional inference procedure to that of the Lander and Kruglyak (LK) criteria for significant and suggestive linkage. For example, the power to detect the chromosome 5 locus was 48% for the LK criterion for significant linkage (p < or = 0.0001) and 63% when we required two p-values out of five consecutive ones to be < or = 0.001. The type I error was not more than 5% for either method (2% for the LK and 5% for our criterion). This suggests that using a criterion based on length may improve the power of linkage detection for complex traits.

Chromosome Mapping↗
PubMed1997

True and false positive peaks in genomewide scans: applications of length-biased sampling to linkage mapping.

Disease-susceptibility loci are now being mapped via genomewide scans in which a linkage statistic is computed at each of a large number of markers. Such disease-susceptibility loci may be identified via a peak in the test statistic when the latter is plotted against the genetic map. In this paper we establish, by appealing to renewal theory, that true positive peaks are expected to be longer than false positive peaks. These results are verified by a realistic simulation of a genomewide linkage study based on the affected-sib-pair design. Since longer peaks are more likely to contain a gene of interest than are shorter peaks, these differences may aid in linkage mapping, justifying assignment of lower priority to shorter peaks. However, since these differences are generally small, statistics based on both peak length and height may not be much more powerful than those based on height alone. The results presented here also provide a theoretical framework for methods that use the length of shared haplotypes in populations to map disease genes.

Chromosome Mapping↗
PubMed1997

Nonparametric simulation based linkage statistics for general pedigrees.

A common strategy for testing for linkage without posing a disease model is to test for increased marker similarity among the affected pedigree members. We developed a simulation based statistic, SimIBD, which measures marker similarity in terms of identity-by-descent (IBD) when it can be determined whether or not the alleles are IBD, and in terms of the probability of the alleles being IBD when it cannot be determined. The SimIBD statistic is not only more powerful than its precursor, the affected-pedigree-member (APM) method, but it is also less sensitive to the misspecification of marker allele frequencies.

Alleles↗
PubMed1996

Nonparametric simulation-based statistics for detecting linkage in general pedigrees.

We present here four nonparametric statistics for linkage analysis that test whether pairs of affected relatives share marker alleles more often than expected. These statistics are based on simulating the null distribution of a given statistic conditional on the unaffecteds' marker genotypes. Each statistic uses a different measure of marker sharing: the SimAPM statistic uses the simulation-based affected-pedigree-member measure based on identity-by-state (IBS) sharing. The SimKIN (kinship) measure is 1.0 for identity-by-descent (IBD) sharing, 0.0 for no IBD status sharing, and the kinship coefficient when the IBD status is ambiguous. The simulation-based IBD (SimIBD) statistic uses a recursive algorithm to determine the probability of two affecteds sharing a specific allele IBD. The SimISO statistic is identical to SimIBD, except that it also measures marker similarity between unaffected pairs. We evaluated our statistics on data simulated under different two-locus disease models, comparing our results to those obtained with several other nonparametric statistics. Use of IBD information produces dramatic increases in power over the SimAPM method, which uses only IBS information. The power of our best statistic in most cases meets or exceeds the power of the other nonparametric statistics. Furthermore, our statistics perform comparisons between all affected relative pairs within general pedigrees and are not restricted to sib pairs or nuclear families.

Algorithms↗
PubMed1996

Two-locus linkage analysis of cutaneous malignant melanoma/dysplastic nevi.

Previous linkage analyses of 19 cutaneous malignant melanoma/dysplastic nevi (CMM/DN) kindreds showed significant evidence of linkage and heterogeneity to both chromosomes 1p and 9p. Five kindreds also showed evidence of linkage (Z>0.7) to both regions. To further examine these findings, we conducted two-trait-locus, two-marker-locus linkage analysis. We examined one homogeneity and one heterogeneity single-locus model (SL-Hom and SL-Het), and two-locus (2L) models: an epistatic model (Ep), in which CMM was treated as a genuine 2L disease, and a heterogeneity model (Het), in which CMM could result from disease alleles at either locus. Both loci were modeled as autosomal dominant. The LOD scores for CMM alone were highest using the SL-Het model (Z = 8.48, theta = .0). There was much stronger evidence of linkage to chromosome 9p than to 1p for CMM alone; the LOD scores were approximately two times greater on 9p than on 1p. The change in LOD scores from an evaluation of CMM alone to CMM/DN suggested that a chromosome 1p locus (or loci) contributed to both CMM and CMM/DN, whereas a 9p locus contributed more to CMM alone. For both 2L models, the LOD scores from 1p were greater for CMM/DN than for CMM alone (Ep: Z=4.63 vs. 3.83; Het: 4.94 vs. 3.80, respectively). In contrast, for 9p, the LOD scores were substantially lower with CMM/DN than with CMM alone (Ep: 4.64 vs. 7.06; Het: 5.38 vs. 7.99, respectively). After conditioning on linkage to the other locus, only the 9p locus consistently showed significant evidence for linkage to CMM alone. Thus, the application of 2L models may be useful to help unravel the complexities of familial melanoma.

Adult↗
PubMed1996

Affected-sib-pair analyses reveal support of prior evidence for a susceptibility locus for bipolar disorder, on 21q.

In 22 multiplex pedigrees screened for linkage to bipolar disorder, by use of 18 markers on chromosome 21q, single-locus affected-sib-pair (ASP) analysis detected a high proportion (57%-62%) of alleles shared identical by descent (IBD), with P values of .049-.0008 on nine marker loci. Multilocus ASP analyses revealed locus trios in the distal region between D21S270 and D21S171, with excess allele sharing (nominal P values <.01) under two affection-status models, ASM I (bipolars and schizoaffectives) and ASM II (ASM I plus recurrent unipolars). In addition, under ASM I, the proximal interval spanned by D21S1436 and D21S65 showed locus trios with excess allele sharing (nominal P values of .03-.0003). These findings support prior evidence that a susceptibility locus for bipolar disorder is on 21q.

Bipolar Disorder↗