American Journal of Medical Genetics (Neuropsychiatric Genetics) 88:411–415 (1999) Lithium Responsive Bipolar Disorder, Unilineality, and Chromosome 18: A Linkage Study G. Turecki,1* P. Grof,2 P. Cavazzoni,2 A. Duffy,2 E. Grof,2 R. Martin,3 R. Joober,1 G.A. Rouleau,1 and M. Alda2 1 Centre for Research in Neuroscience, The Montreal General Hospital, McGill University, Montreal, Canada Department of Psychiatry, University of Ottawa, Ottawa, Canada 3 Virginia Institute for Psychiatric and Behavioral Genetics, Medical College of Virginia, Richmond, Virginia 2 Over the last three years several studies have investigated the hypothesis of linkage between bipolar disorder and markers on chromosome 18. Although independent groups have reported positive results, it is still not clear how these should be interpreted, as linkage spans a considerably large segment of the chromosome. In this study we have investigated linkage with chromosome 18 markers in 19 families of lithium-responsive bipolar patients, as a way to select a more homogeneous population. In addition, we have investigated whether there is evidence of a parent-oforigin effect as suggested by previous studies. Eleven markers spanning the whole chromosome were typed and linkage analysis was carried out using parametric and nonparametric methods. Analysis of the whole sample provided nonsignificant linkage results. However, when the sample included only unilineal families, and was further stratified according to parental origin, two chromosomal regions provided modestly positive lod scores. Maximum lod scores of 1.04 (P = 0.001) at D18S53 and 0.87 (P = 0.045) at D18S61 were observed for maternal and paternal pedigrees, respectively. Nonparametric analysis yielded similar results. In conclusion, our results are congruent with previous reports that suggest an advantage of unilineal pedigrees in linkage analysis of bipolar disorder and cannot rule out a parent-of-origin effect in this genomic region. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 88:411–415, 1999. © 1999 Wiley-Liss, Inc. *Correspondence to: Gustavo Turecki, M.D., Centre for Research in Neuroscience, McGill University, The Montreal General Hospital, Rm. L7-120, 1650 Cedar Ave., Montreal, Qc H3G 1A4, Canada. E-mail: gustavo@bagel.epi.mcgill.ca Received 19 February 1998; Accepted 5 October 1998 © 1999 Wiley-Liss, Inc. KEY WORDS: bipolar disorder; unilineal pedigrees; lithium; chromosome 18 INTRODUCTION Bipolar disorder (BD) is a major psychiatric condition that affects up to 1% of the general population. Genetic epidemiologic studies have consistently shown that genetic factors play an important role in the etiology of BD. However, loci predisposing individuals to this disorder have not been convincingly identified. Several studies have investigated the presence of susceptibility loci for BD on chromosome 18. In 1994, Berrettini et al. initially reported linkage to markers on chromosome 18p. A number of different groups have since failed to replicate this finding [Maier et al., 1995; Pauls et al., 1995; Claes et al., 1997; Detera-Wadleigh et al., 1997]. Other reports have found positive linkage results with markers located in the same [Stine et al., 1995] or, notably, in different regions of chromosome 18 [Stine et al., 1995; Coon et al., 1996; DeBruyn et al., 1996; Freimer et al., 1996;]. In addition, some studies have reported that the evidence for linkage is stronger in those pedigrees with paternal transmission of the phenotype [Stine et al., 1995; Gershon et al., 1996;] [for a complete review, see the report on the chromosome 18 workshop of the 1997 WCPG, Van Broeckhoven et al., 1998]. Lack of replication of positive findings has clearly been a major problem in linkage studies of psychiatric disorders [Risch and Botstein, 1996; Turecki et al., 1996]. Although the principles defining what should be considered a replication in linkage studies of complex traits are still under intense debate [Lander and Kruglyak, 1995; Curtis, 1996; Witte et al., 1996], the observation of positive results spanning large chromosomal segments—which do not necessarily overlap—makes it premature to conclude that a susceptibility locus for BD lies on chromosome 18. Apart from lack of power of individual negative studies to detect loci that account for a small relative risk, difficulty in phenotype definition and genetic heterogeneity are two other important, and probably related issues, which may be re- 412 Turecki et al. sponsible for part of the apparent inconsistency observed in these studies. Defining more objective and genetically meaningful phenotypes may help overcome part of the complexity and thus generate more reliable findings [Tsuang et al., 1993]. We have been studying bipolar patients with excellent response to lithium as a method to reduce heterogeneity. Lithium has been used in the prophylaxis and treatment of BD for almost half a century, and still remains the first-choice prophylactic therapy [Schou, 1997]. Although lithium is considered specific for the treatment of BD, with no comparable effect in other psychiatric disorders, its effectiveness varies widely [Gitlin and Altshuler, 1997]. There is convincing evidence that lithium may be more effective in purer forms of BD, with typical symptomatology and without comorbidity. Typical patients who respond to lithium suffer from primary affective disorder with a recurrent and episodic illness course, and a positive family history of bipolar disorder [Grof et al., 1994]. There is also evidence that responders and nonresponders to lithium treatment may differ in certain neuroendocrine parameters, such as the serotonergic and endorphin systems [Grof et al., 1984]. In addition, family studies indicate a higher recurrence risk for bipolar disorder among relatives of patients who respond well to lithium treatment [Zvolsky et al., 1974; Mendlewicz et al., 1979; Smeraldi et al., 1984; Grof et al., 1994]. Taken together, these findings suggest that response to lithium may define a more homogeneous bipolar phenotype with less genetic heterogeneity. Here we report a linkage study using 11 dinucleotide markers spanning the whole chromosome 18 in 19 families ascertained by lithium responsive bipolar patients, who were further grouped according to parental origin. MATERIALS AND METHODS Subjects Families for this study were ascertained through probands affected with BD that were considered excellent lithium responders following stringent criteria applied prospectively (see criteria in Fig. 1). Probands were recruited from the affective disorder clinics of the Royal Ottawa Hospital and the Hamilton Psychiatric Hospital, Canada. After obtaining informed consent, all available relatives were personally interviewed by two psychiatrists who were blind to the probands’ diagnoses. Overall, 19 families were included, comprising a total of 170 individuals (68 affected) interviewed and sampled. Best estimate diagnoses were made by a panel of experienced psychiatrists (other than the interviewers) who reviewed blindly the data from the Schedule for Affective Disorders and Schizophrenia (SADS-L) interviews [Endicott and Spitzer, 1978] and available medical records. Diagnoses were based on the Research Diagnostic Criteria (RDC) [Spitzer et al., 1978]. Relatives were considered affected when they met criteria for bipolar disorder, manic disorder, schizoaffective disorder, or major recurrent depression (with the additional criterion of functional incapacitation). Rates of psychopathology other than these disorders were notably low, but similar to the rates observed in the general population. In addition, almost no comorbidity was observed. For instance, all probands had exclusively BD diagnosis. Among relatives, only one schizophrenia diagnosis was made. Panic disorder was similarly rare. Because the majority of affected relatives were treated in different clinical facilities, where treatment protocols are not research oriented, lithium response could not be assessed in these subjects using the same criteria used for probands. However, an approximate evaluation of the rate of lithium response among those relatives who are treated with lithium estimates that over 80% of affected relatives could be considered responders. Laboratory Genomic DNA was extracted by a standard method [Sambrook et al., 1989] from venous blood samples. Eleven Généthon dinucleotide markers spanning the whole chromosome 18 were investigated (see Tables I–III). Polymerase chain reaction (PCR) was carried out in a total volume of 12.5 L containing 40 ng genomic DNA; 125 ng of each primer; 200 M each of dGTP, dCTP, and dTTP; 25 M dATP; 1.5 Ci [35S]DATP; 0.5 units of Taq DNA polymerase (Bio/Can Scientific, Ontario); and 2.0 L of 10× buffer (Bio/Can Scientific) with MgCl2 included in the final concentration of 1.5 mM. Samples were overlaid with mineral oil and processed throughout 35 cycles of denaturation at TABLE I. Results From Nonparametric Linkage Analysis.* Fig. 1. Criteria used to diagnose bipolar patients as excellent lithium responders. Locus Wzobs P NPL P D18S59 D18S476 D18S63 D18S62 D18S53 D18S56 D18S57 D18S487 D18S64 D18S61 D18S70 34.13 27.39 40.03 35.01 36.92 34.69 37.17 31.21 42.65 42.65 51.35 0.92 0.58 0.34 0.19 0.23 0.41 0.10 0.79 0.77 0.19 0.30 −0.90 −0.55 −0.30 −0.40 1.17 −0.25 0.11 −0.23 1.42 1.51 1.52 0.82 0.70 0.61 0.65 0.11 0.58 0.43 0.58 0.08 0.06 0.06 *WZobs: Weighted Z statistic from SimIBD. The weight used was 1/sqrt q). NPL: GENEHUNTER’s nonparametric statistic. Bipolar Disorder and Chromosome 18 413 TABLE II. Unilineal Pedigrees Subdivided According to Parental Origin.* Paternal (n ⳱ 4) Locus Zmax P D18S59 D18S476 D18S63 D18S62 D18S53 D18S56 D18S57 D18S487 D18S64 D18S61 D18S70 0.35 0 0 0.67 0.81 0.36 0.70 0 0.17 0.87 0.66 0.01 Maternal (n ⳱ 4) Model Zmax 1 0 0.22 0 0 1.04 0 0.29 0 0.73 0.16 0 0.02 0.002** 0.11 0.02 1 1 3 1 0.19 0.045** 0.01 3 3 3 P 0.13 Total (n ⳱ 8) Model 1,2 0.001** 3 0.16 1 0.03 0.18 2 2 Zmax P Model 0.26 0.19 0 0.11 1.35 0 0.99 0 0.52 0.64 0.10 0.14 0.19 1 1 0.26 0.01** 1 1 0.05 1 0.07 0.06 0.29 2 2 3 *Zmax, maximum lod score. Models: 1, dominant; 2, intermediate; 3, recessive. P value obtained empirically by simulating a nonlinked marker in 100 replicates. **1,000 replicates were conducted. 94°C, annealing at the optimal temperature for the specific marker, and elongation at 72°C, followed by a final elongation period of 72°C. PCR products were analyzed on a 6% denaturating polyacrylamide gel (38: 2 acrylamide:bisacrylamide). Samples were run for a variable period in a vertical electrophoresis gel apparatus (Life Technologies, Inc., MD). Gels were dried and exposed to X-ray films for 24 to 72 hr at room temperature. All marker determinations were made blind to clinical diagnoses. Genetic Analysis Power Calculation. To estimate the power of our families to detect linkage, we have carried out simulations using the SLINK program [Ott, 1989; Weeks et al., 1990]. The parameters assumed were dominant mode of inheritance; disease allele frequency of 0.012; sex-specific liability classes with penetrances of 0.4 and 0.7 for males and females, respectively; and no sporadic cases. Linkage heterogeneity with 60 and 80% of the families linked was also simulated. One thousand replicates were carried out with a five-allele linked marker. The average maximum lod score observed in the analysis of all families was 3.39 ± 1.60 ( ⳱ 0.05), with 78.2 and 49% of the lod scores greater than 2.0 for ␣ ⳱ 0.8 and ␣ ⳱ 0.6, respectively. Empirical P values were obtained using the SIMULATE program [Ott and Terwilliger, 1992] and analyzing the replicates using TABLE III. Nonparametric Linkage Analysis in Pedigrees Grouped According to Parental Origin. Paternal Locus D18S59 D18S476 D18S63 D18S62 D18S53 D18S56 D18S57 D18S487 D18S64 D18S61 D18S70 Maternal Total WZobs P WZobs P WZobs P 12.35 9.11 13.62 15.34 12.99 13.94 9.34 10.7 13.02 16.12 18.80 0.59 0.45 0.42 0.04 0.17 0.17 0.58 0.65 0.32 0.09 0.34 7.05 5.08 6.56 4.56 7.68 5.09 5.91 4.24 6.98 6.13 6.56 0.43 0.33 0.62 0.78 0.003* 0.85 0.25 0.69 0.33 0.68 0.55 19.41 14.20 22.33 19.90 20.67 19.04 14.94 14.20 20.00 22.26 25.36 0.55 0.42 0.23 0.07 0.039* 0.32 0.81 0.41 0.21 0.32 0.29 *Empirical P values were estimated with 1,000 simulations. the MSIM program [Ott, 1989; Weeks et al., 1990]. One hundred or 1,000 replicates were carried out (see Table II), using the corresponding genetic model and marker information from linkage computations. Linkage Analysis. Parametric linkage analysis was conducted using the MLINK program from the FASTLINK package [Cottingham et al., 1993; Lathrop et al., 1984]. Three major genetic models were explored in order to maximize the evidence for linkage. These models were (a) dominant [allele frequency (q) 0.012, male penetrance (fM) 0.4, female penetrance (fF) 0.7, and normal penetrance 0.005 for males (fM0) and 0.009 for females (fF0)]; (b) intermediate [q ⳱ 0.024, fM ⳱ 0.4/0.1, fF ⳱ 0.7/0.175, fM0 ⳱ 0.005, fF0 ⳱ 0.009]; (c) recessive [q ⳱ 0.11, fM ⳱ 0.35, fF ⳱ 0.65, fM0 ⳱ 0.005, fF0 ⳱ 0.009]. The parameters for the recessive model were based on segregation analysis of this sample. Nonparametric linkage analysis was conducted using the SimIBD [Davis et al., 1996] and GENEHUNTER [Kruglyak et al., 1996] programs. SimIBD calculates a simulation-based nonparametric statistic that provides a powerful test for linkage using identity-by-descent information in general pedigrees. GENHUNTER implements, among other things, a nonparametric linkage test that also uses identity-by-descent information, computing a normalized score that reflects allele sharing in either pairs or all affected individuals from a pedigree. The map order and distances employed in the analysis were taken from the published CEPH/ Généthon chromosome 18 linkage map. Parental Origin. Due to previous findings suggesting that unilineal pedigrees with paternal transmission of BD provide stronger evidence in favor of linkage to markers on chromosome 18 [Stine et al., 1995], we attempted to analyze pedigrees according to parental origin. Our pedigrees were ascertained regardless of lineality characteristics. Thus, among all pedigrees, only eight were clearly unilineal. Of these, four were of paternal origin (when the trait was segregating through the father’s family). Pedigrees were considered unilineal if the trait segregated exclusively through one of the proband parent’s family, with no evidence of affected relatives of at least first and second degree in the other parent’s family. No clinical differ- 414 Turecki et al. ence was observed between unilineal and bilineal pedigrees. These pedigrees comprised a total of 77 sampled individuals (31 affected), with paternal families including 41 sampled subjects (17 affected) and maternal families, 36 sampled subjects (14 affected). RESULTS The probands’ mean age of onset was 24.5 ± 8.1 years. The average number of episodes prior to lithium treatment was 9.3 ± 6.7 and the patients have been successfully treated with lithium on monotherapy for 13.9 ± 8.0 years. Two-point lod score results observed in the parametric linkage analysis were not significant (results available on request), with a maximum lod score of 1.12 observed under the intermediate model for marker D18S61 at ⳱ 0.10. Lod scores for this marker under the dominant and recessive models were mostly negative or just above zero. Nonparametric results were also not significant. The weighted Z statistics obtained in the nonparametric analysis are shown in Table II. The empirical P values were estimated with 1,000 replicates. Results observed with GENEHUNTER nonparametric analysis were similarly not significant. The analysis of subsamples grouped according to parental origin provided interesting results (see Table II). Overall, though no formally significant lod scores were observed, two different regions yielded most positive results with considerably small empirical P values. A maximum lod score of 1.35 (P ⳱ 0.01) was observed for marker D18S53 (18p11) in all unilineal pedigrees, with a lod score of 0.81 (P ⳱ 0.002) and 1.04 (P ⳱ 0.001) in paternal and maternal pedigrees, respectively. Other positive results were observed on 18q, with paternal pedigrees yielding a maximum lod score of 0.87 (P ⳱ 0.045) at D18S61, maternal families at D18S64 (lod score 0.73, P ⳱ 0.03) and total unilineal pedigrees at D18S57 (lod score 0.99, P ⳱ 0.05). Nonparametric linkage analysis using unilineal pedigrees classified according to parental origin yielded similar results (see Table III). DISCUSSION It has been proposed that a locus for BD can be assigned to chromosome 18 based on positive linkage results found by independent studies [Berrettini et al., 1997]. There remains, however, some controversy over this issue [Rice, 1997]. Though much has been thought about interpreting linkage results in complex traits such as psychiatric disorders, it is still not clear, in practice, when linkage should be considered replicated. Positive results that span long chromosomal segments, cosegregating regions that often do not overlap between studies, use of different markers, investigation of different phenotypic and genetic models, and adoption of different levels of statistical stringency, among several other problems, make it difficult to define clear guidelines for successful replication. Similar problems arise when claiming nonreplication if the data do not clearly exclude linkage, and samples lack sufficient statistical power to detect a locus of similar effect to that reported in the positive study. In this context, how should we interpret our results? Considering the entire sample, our findings do not support linkage between BD and any of the markers tested. Apart from one exception (marker D18S61), most results are clearly negative. A maximum lod score of 1.12 (at ⳱ 0.1; nominal P value: 0.023) was observed for marker D18S61 in the parametric linkage analysis when maximizing lod scores over different genetic models. This result was not supported by the nonparametric analysis. D18S61 is located on the long arm of chromosome 18, within the region where positive lod scores were previously found in linkage studies of bipolar families from Costa Rica, and therefore, the nominal P value associated with this marker result could be considered sufficiently low to suggest a confirmation of linkage [Lander and Kruglyak, 1995]. However, this result was isolated and was interpreted as being the consequence of multiple testing due to maximization of evidence for linkage over different genetic models. A parent of origin effect in linkage studies of BD was first described by Stine et al. (1995). They observed that unilineal bipolar pedigrees, where the trait was transmitted through the father, provided evidence for linkage with markers located on chromosome 18q. In these pedigrees, there was an excess sharing of paternally transmitted alleles between sib pairs. Whether this procedure uncovers a more homogeneous subgroup—leading to an increase in the signal for linkage—or whether the observed phenomenon reflects an underlying biological process, such as imprinting or meiotic instability of repetitive sequences, remains to be determined. Subdividing our families according to unilineal transmission and parental origin, a different scenario was observed. Maximum lod scores were found for marker D18S53 (lod score 1.35; P ⳱ 0.01) when only unilineal families, regardless of parental origin, were analyzed. This marker is located on the short arm of chromosome 18 (18p11.21-32), in the region originally reported as linked to BD by Berrettini et al. [1994] and confirmed by Stine et al. [1995] when studying unilineal families of both paternal and maternal origin. In paternal pedigrees, marker D18S61 provided the maximum lod score (lod score 0.87; P ⳱ 0.045). Though not formally significant, this result is in agreement with the findings of Stine et al. [1995] who observed evidence for linkage with markers on a neighboring region of 18q in paternal pedigrees. Taking into account that stratifying the sample in subgroups leads to a considerable reduction in statistical power, the positive results observed were noteworthy, yielding small empirical P values. However, it should be considered that multiple analyses were carried out in this study. Therefore, to further confirm these results, we are currently in the process of sampling additional families to increase the number of unilineal families. Although a pattern similar to that found by Stine et al. [1995] was observed when only unilineal families were analyzed and stratified according to parental origin, some differences between studies should be pointed out. We have been systematically collecting families that were selected according to lithium re- Bipolar Disorder and Chromosome 18 sponse but not according to unilineal transmission. 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