Long-term stability of alcohol and other substance dependence diagnoses and habitual smoking: an evaluation after 5 years.

CONTEXT: A major criterion to validate diagnoses is stability over time. OBJECTIVE: To examine the stability of several classification systems for lifetime diagnosis of alcohol dependence, to identify characteristics predicting stability of alcoholism, and to study stability of lifetime assessments of habitual smoking (1 pack per day for at least 6 months) and other drug dependence. DESIGN: Participants in the Collaborative Study on the Genetics of Alcoholism were interviewed using the Semi-Structured Assessment for the Genetics of Alcoholism and reevaluated 5 years later. Initial and follow-up interviews were available for 1728 individuals (641 index cases, 800 siblings, 287 controls) with lifetime diagnoses of alcohol dependence, other substance dependence (marijuana, cocaine, other stimulants, sedatives, opioids), or habitual smoking at first interview. The likelihood that an individual with a lifetime history of substance dependence or habitual smoking at the first interview retained this classification after 5 years was examined to assess stability of diagnosis. RESULTS: Stability of a lifetime diagnosis of alcohol dependence varied among the subject groups of index cases, siblings, and community-based controls. Alcohol dependence as defined by DSM-III-R criteria was highly stable in the index cases (90.5% women, 94.7% men) but much less stable in the community-based controls (27.5% women, 64.7% men). The most important characteristic associated with stability of diagnosis of alcohol dependence was severity, defined by the number of alcohol-related symptoms. Other DSM-III-R substance dependence disorders varied in the stability of diagnosis over a 5-year period. Lifetime history of habitual smoking was highly stable in all subject groups (96.0% overall). CONCLUSIONS: Stability of lifetime assessment of alcohol dependence varies depending on severity of illness. Severe cases of alcohol dependence are more likely to be stable, whereas general population cases of alcohol dependence are less likely to have stable diagnoses. The stability of diagnosis for other substance dependence varies from substance to substance.

Rapid switching of mood in families with multiple cases of bipolar disorder.

BACKGROUND: Heterogeneity within the diagnostic construct of bipolar disorder is most likely an obstacle to discovering its causes. Phenomena in the bipolar spectrum, including rapid cycling, cyclothymia, and affective instability of borderline personality, may be important markers of etiologic heterogeneity. Rapid switching of mood may be central to these phenomena. METHODS: We performed a case-control study, using diagnostic data from a multisite bipolar disorder linkage study, to explore clinical and demographic factors potentially related to rapid switching in bipolar disorder. Participants were 18 years or older and members of a family in which 2 or more first-degree relatives had bipolar disorder. Of 718 individuals interviewed and diagnosed as having bipolar disorder, 603 gave sufficient information about rapid switching and thus constituted the study group (60% female; mean age, 41 years; and mean education level, 13.8 years). RESULTS: Rapid switching of mood was reported by 44% of interviewees and was associated with early age at onset of bipolar disorder, higher risk of anxiety and substance abuse or dependence comorbidity, suicide attempts, antidepressant drug use, and having a relative with rapid switching. CONCLUSIONS: Rapid switching is associated with a complex clinical course of bipolar disorder. These results extend previous associations among rapid switching, anxiety, substance abuse, and early onset of bipolar disorder to a family study population. Rapid switching of mood seems to be the core phenomenon behind several variants of non-DSM-IV rapid cycling, DSM-III-R mixed states, and borderline personality disorder and the link connecting comorbidity, suicide, and early onset of bipolar disorder. Further biological investigation of the rapid-switching phenomenon is justified on epidemiologic grounds.

A family study of alcohol dependence: coaggregation of multiple disorders in relatives of alcohol-dependent probands.

BACKGROUND: Alcohol dependence tends to aggregate within families. We analyzed data from the family collection of the Collaborative Study on the Genetics of Alcoholism to quantify familial aggregation using several different criterion sets. We also assessed the aggregation of other psychiatric disorders in the same sample to identify areas of possible shared genetic vulnerability. DESIGN: Age-corrected lifetime morbid risk was estimated in adult first-degree relatives of affected probands and control subjects for selected disorders. Diagnostic data were gathered by semistructured interview (the Semi-Structured Assessment for the Genetics of Alcoholism), family history, and medical records. Rates of illness were corrected by validating interview and family history reports against senior clinicians' all sources best estimate diagnoses. Sex, ethnicity, comorbidity, cohort effects, and site of ascertainment were also taken into account. RESULTS: Including data from 8296 relatives of alcoholic probands and 1654 controls, we report lifetime risk rates of 28.8% and 14.4% for DSM-IV alcohol dependence in relatives of probands and controls, respectively; respective rates were 37.0% and 20.5% for the less stringent DSM-III-R alcohol dependence, 20.9% and 9.7% for any DSM-III-R diagnosis of nonalcohol nonnicotine substance dependence, and 8.1% and 5.2% for antisocial personality disorder. Rates of specific substance dependence were markedly increased in relatives of alcohol-dependent probands for cocaine, marijuana, opiates, sedatives, stimulants, and tobacco. Aggregation was also seen for panic disorder, obsessive-compulsive disorder, posttraumatic stress disorder, and major depression. CONCLUSIONS: The risk of alcohol dependence in relatives of probands compared with controls is increased about 2-fold. The aggregation of antisocial personality disorder, drug dependence, anxiety disorders, and mood disorders suggests common mechanisms for these disorders and alcohol dependence within some families. These data suggest new phenotypes for molecular genetic studies and alternative strategies for studying the heterogeneity of alcohol dependence.

Familiality of symptom dimensions in depression.

BACKGROUND: Depression is a clinically heterogeneous disorder thought to result from multiple genes interacting with environmental and developmental components. A dimensional rather than a categorical approach to depressive phenotype definition may be more useful for identification of susceptibility genes. OBJECTIVES: To perform an exploratory factor analysis on a range of depressive and anxiety symptoms in a large, well-defined sample of depressed siblings, as well as a confirmatory factor analysis in a separate large group of unrelated depressed subjects, and to analyze correlations of identified symptom dimensions between depressed siblings. DESIGN: Subjects (N = 1034), including 475 sibling pairs, with a history of at least 2 depressive episodes were recruited from the Depression Network Study, a large-scale multicenter collection of families affected by recurrent unipolar depression. Subjects were interviewed using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) and diagnosed according to the DSM-IV and the International Classification of Diseases, 10th Revision, using a computerized scoring program (CATEGO5). Factor analysis was carried out on 26 depression symptom items, including 4 anxiety screening items. Confirmatory factor analysis was performed on an independent sample of 485 depressed individuals. RESULTS: Four interpretable factors were identified: (1) mood symptoms and psychomotor retardation; (2) anxiety; (3) psychomotor agitation, guilt, and suicidality; and (4) appetite gain and hypersomnia. For each symptom group, a quantitative scale was constructed, and correlations between siblings were calculated. There was a moderate degree of sibling homotypia for some depressive symptoms, and factors 1, 2, and 3 showed significant positive familial correlation (0.145 [P =.001], 0.335 [P<.001], and 0.362 [P<.001], respectively). CONCLUSIONS: This is the first study of large, well-defined samples of depressed subjects in whom symptom dimensions have been derived and then confirmed using independent material. The significant correlations between siblings for 3 of the dimensions suggest substantial familial, perhaps genetic, etiologies.

Beta power in the EEG of alcoholics.

BACKGROUND: In this study, the magnitude and spatial distribution of beta power in the resting electroencephalogram (EEG) were examined to address the possibility of an excitation-inhibition imbalance in the central nervous system of alcoholics. METHODS: Log transformed absolute power in the Beta 1 (12.5-16 Hz), Beta 2 (16.5-20 Hz), and Beta 3 (20.5-28 Hz) bands in the eyes-closed EEG of 307 alcohol-dependent subjects and 307 unaffected age- and gender-matched control subjects were compared using a multivariate repeated measures design. Effect of gender, age, and drinking variables was examined separately. RESULTS: Increased Beta 1 (12.5-16 Hz) and Beta 2 (16.5-20 Hz) absolute power was observed in alcohol-dependent subjects at all loci over the scalp. The increase was most prominent in the central region. Increased Beta 3 (20.5-28 Hz) power was frontal in the alcoholics. Age and clinical variables did not influence the increase. Male alcoholics had significantly higher beta power in all three bands. In female alcoholics the increase did not reach statistical significance. CONCLUSIONS: Beta power in all three bands of resting EEG is elevated in alcoholics. This feature is more prominent in male alcoholics. The increased beta power in the resting EEG may be an electrophysiological index of the imbalance in the excitation-inhibition homeostasis in the cortex.

Loci on chromosomes 6q and 6p interact to increase susceptibility to bipolar affective disorder in the national institute of mental health genetics initiative pedigrees.

BACKGROUND: We have reported genetic linkage between bipolar disorder and markers on chromosome 6q16.3-22.1 in the National Institute of Mental Health Genetics Initiative wave 3 pedigrees. Here we test for: 1) robustness of the linkage to differing analysis methods, genotyping error, and gender-specific maps; 2) parent-of-origin effects; and 3) interaction with markers within the schizophrenia linkage region on chromosome 6p. METHODS: Members of 245 families ascertained through a sibling pair affected with bipolar I or schizoaffective-bipolar disorder were genotyped with 18 markers spanning chromosome 6. Nonparametric linkage analysis was performed. RESULTS: Linkage to 6q is robust to analysis method, gender-specific map differences, and genotyping error. The locus confers a 1.4-fold increased risk. Affected siblings share the maternal more often than the paternal chromosome (p =.006), which could reflect a maternal parent-of-origin effect. There is a positive correlation between family-specific linkage scores on 6q and those on 6p22.2 (r =.26; p <.0001). Linkage analysis for each locus conditioned on evidence of linkage to the other increases the evidence for linkage at both loci (p <.0005). Logarithm of the odds (LOD) scores increased from 2.26 to 5.42 on 6q and from.35 to 2.26 on 6p22.2. CONCLUSIONS: These results support linkage of bipolar disorder to 6q, uncover a maternal parent-of-origin effect, and demonstrate an interaction of this locus with one on chromosome 6p22.2, previously linked only to schizophrenia.

Genome-wide scan and conditional analysis in bipolar disorder: evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees.

BACKGROUND: In 1989 the National Institute of Mental Health began a collaborative effort to identify genes for bipolar disorder. The first 97 pedigrees showed evidence of linkage to chromosomes 1, 6, 7, 10, 16, and 22 (Nurnberger et al 1997). An additional 56 bipolar families have been genotyped, and the combined sample of 153 pedigrees studied. METHODS: Three hierarchical affection status models were analyzed with 513 simple sequence repeat markers; 298 were common across all pedigrees. The primary analysis was a nonparametric genome-wide scan. We performed conditional analyses based on epistasis or heterogeneity for five regions. RESULTS: One region, on 16p13, was significant at the genome-wide p <.05 level. Four additional chromosomal regions (20p12, 11p15, 6q24, and 10p12) showed nominally significant linkage findings (p

Comorbid bipolar disorder and panic disorder in families with a high prevalence of bipolar disorder.

OBJECTIVE: Panic attacks are a common complication of affective disorder, although the etiologic relationship of panic and affective symptoms has not been determined. Evidence from a family study suggests that panic attacks and panic disorder may be related genetically to bipolar disorder. This study used diagnostic data from the NIMH Bipolar Disorder Genetics Initiative to assess in a separate, larger family set the familiality of panic combined with bipolar disorder. METHOD: First-degree relatives (N=966) of probands with bipolar I disorder (N=192) and schizoaffective disorder, bipolar type, (N=11) were included in the study. All subjects were interviewed directly and were assigned best-estimate diagnoses for major affective and other psychiatric disorders. The risk of a family member being diagnosed with panic disorder if the proband with bipolar disorder had panic attacks or panic disorder was calculated with logistic regression analysis with generalized estimating equations that controlled for sex and affective disorder subdiagnosis. RESULTS: More than 90% of the probands and first-degree relatives with panic disorder also had an affective disorder diagnosis. Panic disorder was present in 17% of the relatives with recurrent major affective disorder and in 3% of the relatives without recurrent major affective disorder. Risk of panic disorder in relatives with bipolar disorder was increased significantly if the proband had panic attacks or panic disorder. CONCLUSIONS: Risk for panic disorder with familial bipolar disorder appears to be inherited. Inherited risk for panic disorder with bipolar disorder may indicate a shared genetic etiology for both disorders in some families. The patterns of bipolar disorder and panic disorder comorbidity observed in families imply a complex genetic etiology, which may be elucidated by using endophenotypes.

Apparent replication of suggestive linkage on chromosome 16 in the NIMH genetics initiative bipolar pedigrees.

Analyses of a replication sample of families collected as part of the National Institute of Mental Health (NIMH) Genetics Initiative for bipolar disorder provide further evidence for linkage to a region of chromosome 16. Families who had a bipolar I (BPI) proband and at least one BPI or schizoaffective, bipolar type (SABP) first-degree relative were ascertained for the purpose of identifying genes involved in bipolar affective disorder. A series of hierarchical models of affected status was used in linkage analyses. Initial genetic analyses of chromosomes 3, 5, 15, 16, 17, and 22, completed at Indiana University in 540 subjects from 97 families, suggested evidence of linkage to chromosomes 5, 16, and 22 [Edenberg et al., 1997: Am J Med Genet 74:238-246]. Genotyping was subsequently performed on these chromosomes in a replication sample of 353 individuals from 56 families. Nonparametric linkage analyses were performed using both affected relative and sibling pair methods. Analyses in the new sample on chromosome 16, using the broadest model of affected status, corroborate previously reported suggestive linkage to the marker D16S2619. Combining the initial and replication samples further increased the evidence of linkage to this region, with a peak lod score of 2.8.

Linkage mapping of total cholesterol level in a young cohort via nonparametric regression.

BACKGROUND: Compared to model-based approaches, nonparametric methods for quantitative trait loci mapping are more robust to deviations in distributional assumptions. In this study, we modify a nonparametric regression method and the "contrast function"- based regression method to analyze total cholesterol level in the younger cohort (the offspring generation) of the Genetic Analysis Workshop 13 simulated data set. RESULTS: We obtained significant evidence of linkage near four of the six non-sex-specific genes in at least 30% of the replicates. CONCLUSIONS: The proposed nonparametric method seems to be a powerful robust alternative to distribution-based methods.

Linkage and linkage disequilibrium mapping of ERP and EEG phenotypes.

Linkage analyses of highly heritable electrophysiological phenotypes (EEG, ERP) that can potentially identify individuals at risk for alcoholism were performed on a large sample of families with a high density of alcohol dependence as part of the Collaborative Study on the Genetics of Alcoholism (COGA); these genetic findings are summarized. Quantitative trait loci (QTLs) were identified for several ERP characteristics (P300, N100, N400) and for the beta frequencies of the EEG where we report linkage and linkage disequilibrium at a GABA(A) receptor gene on chromosome 4. Genetic analyses of ERPs suggest that several regions of the human genome contain genetic loci related to the generation of N100, N400 and P300, which are possible candidate loci underlying the functional organization of human neuroelectric activity. The advent of genomics and proteomics and a fuller understanding of gene regulation, will open new horizons on the critical electrical events so essential for human brain function.

Glucose metabolism in the amygdala in depression: relationship to diagnostic subtype and plasma cortisol levels.

In a previous positron emission tomography (PET) study of major depression, we demonstrated that cerebral blood flow was increased in the left amygdala in unipolar depressives with familial pure depressive disease (FPDD) relative to healthy controls [J. Neurosci. 12 (1992) 3628.]. These measures were obtained from relatively low-resolution PET images using a stereotaxic method based upon skull X-ray landmarks. The current experiments aimed to replicate and extend these results using higher-resolution glucose metabolism images and magnetic resonance imaging (MRI)-based region-of-interest (ROI) analysis. The specificity of this finding to FPDD was also investigated by assessing depressed samples with bipolar disorder (BD-D) and depression spectrum disease (DSD). Finally, the relationship between amygdala metabolism and plasma cortisol levels obtained during the scanning procedure was assessed. Glucose metabolism was measured using PET and 18F-fluorodeoxyglucose (18FDG) in healthy control (n=12), FPDD (n=12), DSD (n=9) and BD-D (n=7) samples in the amygdala and the adjacent hippocampus. The left amygdala metabolism differed across groups (P<.001), being increased in both the FPDD and BD-D groups relative to the control group. The left amygdala metabolism was positively correlated with stressed plasma cortisol levels in both the unipolar (r=.69; P<.005) and the bipolar depressives (r=0.68;.1

The Depression Network (DeNT) Study: methodology and sociodemographic characteristics of the first 470 affected sibling pairs from a large multi-site linkage genetic study.

BACKGROUND: The Depression Network Study (DeNt) is a multicentre study designed to identify genes and/or loci linked to and/or associated with susceptibility to unipolar depression in Caucasian families. This study presents the method and socio-demographic details of the first 470 affected sibling pairs recruited from 8 different sites in Europe and the United States of America. METHODS: Probands fulfilling either the Diagnostic and Statistical Manual 4th edition (DSM-IV) or the International Classification of Diseases 10th edition (ICD-10) criteria for recurrent unipolar depression of moderate or severe degree and who had at least one similarly affected sibling were eligible for the study. Detailed clinical and psychological assessments were undertaken on all subjects including an interview using the Schedules for Clinical Assessment in Neuropsychiatry. Blood samples were collected from all participants to extract DNA for linkage analysis. RESULTS: The different sites used different recruitment strategies depending on local health care organisation but despite this there was remarkable similarity across sites for the subjects recruited. Although the Bonn site had significantly older subjects both for age of onset and age at interview, for the sample as a whole, subjects were interviewed in their mid-40s and had experienced the onset of their recurrent depression in their 20s. Preliminary genome screening was able to include 929 out of the 944 subjects (98.4%) typed at 932 autosomal and 544 X chromosome markers. CONCLUSIONS: This paper describes the methodology and the characteristics of the subjects from the 414 families included in the first wave of genotyping from the multi-site DeNT study. Ultimately the study aims to collect affected sibling pairs from approximately 1200 families.

Resting EEG in offspring of male alcoholics: beta frequencies.

This study examines the differences in beta (12-28 Hz) band power in offspring of male alcoholics from densely affected alcoholic families. We have attempted to investigate if the increase in beta power is a 'state' or 'trait' marker for alcoholism. This study also explores the gender differences in the expression of this potential risk marker. Absolute beta power in three bands-beta 1(12-16 Hz), beta 2 (16-20 Hz), and beta 3 (20-28 Hz)-in the eyes closed EEG of 171 high risk (HR) subjects who were offspring of male alcoholics and 204 low risk (LR) subjects with no family history of alcoholism, were compared for each gender separately using a repeated measures analysis of variance design. Alcoholic and non-alcoholic subjects within the high risk group were compared using a repeated measures design as a follow-up analysis. The present study demonstrated increased beta power in the resting EEG of offspring of male alcoholics. Male HR subjects had higher beta 1 (12-16 Hz) power and female HR subjects had increased power in beta 2 (16-20 Hz) and beta 3 (20-28 Hz) as compared with low risk participants. Female HR subjects also showed significantly increased beta 2 and beta 3 power if they had two or more alcoholic first-degree relatives when compared with HR females having only an affected father. Risk characteristics are expressed differentially in males and females and may be an index of differential vulnerability to alcoholism. The results indicate that increased EEG beta power can be considered as a likely marker of risk for developing alcoholism and may be used as a predictive endophenotype.

Linkage and linkage disequilibrium of evoked EEG oscillations with CHRM2 receptor gene polymorphisms: implications for human brain dynamics and cognition.

Event-related oscillations (ERO) offer an alternative theoretical and methodological approach to the analysis of event-related EEG responses. The P300 event-related potential (ERP) is elicited through the superposition of the delta (1-3 Hz) and theta (3-7 Hz) band oscillatory responses. The cholinergic neurotransmitter system has a key function in modulating excitatory post-synaptic potentials caused by glutamate, and therefore influences P300 generation and the underlying oscillatory responses. Here we report significant linkage and linkage disequilibrium between target case frontal theta band, visual evoked brain oscillations and a single nucleotide polymorphism (SNP) from the cholinergic muscarinic receptor gene (CHRM2) on chromosome 7. We also demonstrate significant linkage disequilibrium between CHRM2 SNPs and target case parietal delta band visual evoked oscillations (LD P<0.001). These findings were not observed for the equivalent non-target case data, suggesting a role for the CHRM2 gene in higher cognitive processing in humans.

Are there subgroups of bulimia nervosa based on comorbid psychiatric disorders?

OBJECTIVE: The current study sought to determine whether there are subtypes of bulimia nervosa (BN) differentiated by comorbid psychiatric disorders. METHOD: Data on comorbid psychiatric diagnoses in female relatives of probands and controls in the Collaborative Study of the Genetics of Alcoholism (COGA) who met criteria for BN (as outlined in the 3rd Rev. ed. of the Diagnostic and Statistical Manual of Mental Disorders) were analyzed using latent class analysis. Resulting latent classes were compared on a variety of variables related to impulsive behaviors and psychological functioning. RESULTS: The best-fitting solution, a two-class model, yielded one class (72%) characterized by substance dependence, depression, antisocial personality disorder (ASPD), and anxiety disorders, and another characterized by depression. The highly comorbid class had more suicidality, more daily smokers, sought help for emotional problems, and had lower Global Assessment of Functioning (GAF) scores compared with those in the comorbid depression only class. DISCUSSION: Latent class findings suggest the existence of two classes of BN differentiated by substance dependence, impulsive behaviors, and poorer psychological functioning.

Relationship of age of first drink to child behavioral problems and family psychopathology.

BACKGROUND: Studies have implicated a wide variety of variables as being associated with an early age of first drink (AFD). AFD in turn has been associated with a variety of negative outcomes in adolescence and early adulthood. This study is designed to quantify the contributions of these antecedent variables to prediction of AFD; in particular it will carefully examine the involvement of variables in four areas (child characteristics, family demographics, family psychopathology, and child behavior problems). METHODS: Using data from a multicenter study on alcoholism, we first investigated the differences between two groups of children (ages 7 to 17 years), one from families heavily loaded for alcohol dependence and the other from population controls. Second, a multidomain, multistep regression model using child characteristics, family demographics, family psychopathology, and child behavior problems was performed to determine significant contributors to predicted AFD. RESULTS: Five variables initially contributed to the prediction of AFD. These included gender, age at interview, the number of adult sibs with alcohol dependence, being held back a year in school, and conduct scale score. However, the number of conduct symptoms appeared to contain the contributions of gender and being held back a grade in school, and these two variables were subsequent removed from the model. The remaining three variables explained 45% of the model variance; age at interview accounted for 38.3%, conduct scale score accounted for 6.2%, and the number of alcohol-dependent adult sibs accounted for 0.5%. No family history measures of alcohol dependence or antisocial personality disorder were contributory to the prediction model for AFD. CONCLUSIONS: Both the "number of conduct symptoms" and the "number of adult sibs with alcohol dependence" are inversely associated with predicted AFD. The latter variable appears marginally predictive of AFD and suggests a condition in which the child's household, regardless of strength of family history of AD (or antisocial personality disorder), appears conducive to early drinking. Thus, child and environmental factors are stronger predictors of age of first drink than family history.

Whole genome linkage scan of recurrent depressive disorder from the depression network study.

Genome-wide linkage analysis was carried out in a sample of 497 sib pairs concordant for recurrent major depressive disorder (MDD). There was suggestive evidence for linkage on chromosome 1p36 where the LOD score for female-female pairs exceeded 3 (but reduced to 2.73 when corrected for multiple testing). The region includes a gene, MTHFR, that in previous studies has been associated with depressive symptoms. Two other regions, on chromosomes 12q23.3-q24.11 and 13q31.1-q31.3, showed evidence for linkage with a nominal P < 0.01. The 12q peak overlaps with a region previously implicated by linkage studies of unipolar and bipolar disorders and contains a gene, DAO, that has been associated with both bipolar disorder and schizophrenia. The 13q peak lies within a region previously linked strongly to panic disorder. A fourth modest peak with an LOD of greater than 1 on chromosome 15q lies within a region that showed genome-wide significant evidence of a recurrent depression locus in a previous sib-pair study. Both the 12q and the 15q findings remained significant at genome-wide level when the data from the present study and the previous reports were combined.

The Sib TDT adjusted for age of disease onset.

Since the Sib-TDT (Spielman & Ewens, 1998) ignores age of disease onset, there could be loss of power in detecting linkage. In this article, we propose an adjustment for age of onset using the Cox Proportional Hazard Model (Cox, 1972) with the marker allele as a covariate. The test statistic for linkage is identical to the traditional Sib-TDT. Monte-Carlo simulations are performed under different disease models to assess the increase in power of the age-adjusted Sib-TDT compared to the traditional Sib-TDT. We extend our method to multiallelic markers. An application using data on Alzheimer's Disease is also presented.