Significant Linkage to Compulsive Hoarding on Chromosome 14 in Families With Obsessive-Compulsive Disorder: Results From the OCD Collaborative Genetics Study

Obsessive-compulsive disorder (OCD) is a clinically heterogeneous disorder, with considerable variation between patients in the types of obsessions and compulsions they present. There is currently great interest in characterizing individuals with OCD according to their obsessions and compulsions or, alternatively, according to symptom factor or dimensional scores that vary among individuals with the disorder (1) . Clinical features may correlate with course, prognosis, and treatment responsiveness, and it has been hypothesized that different clinical subgroups may be consequences of different etiology and pathogenesis (2) .

To date, the most persuasive evidence for a potentially discrete subtype or dimension of OCD is hoarding behavior. Compulsive hoarding behavior is characterized by the acquisition of, and unwillingness or inability to discard, large quantities of seemingly useless objects that create a significantly cluttered living space and cause considerable distress or impairment in functioning (3) . Hoarding obsessions and compulsions are present in approximately 30% of OCD cases (4 , 5) . As a group, OCD-affected individuals with hoarding symptoms have a more severe illness, greater prevalence of anxiety disorders, and greater prevalence of personality disorders than those without hoarding symptoms (4 – 7) . In addition, OCD patients with hoarding behavior, or with higher scores on a hoarding factor dimension, are often less responsive to treatment with serotonin-reuptake inhibitors or cognitive behavior therapy than OCD patients without hoarding behavior (8 – 11) , although it has also been reported that other types of obsessions and compulsions predict poor treatment response (12) , and results from a more recent treatment trial suggest that OCD patients with hoarding behavior respond as well as other OCD patients (13) . Moreover, results from functional neuroimaging studies suggest that OCD-affected individuals with compulsive hoarding have significantly different levels of activity in specific brain regions compared with other OCD-affected individuals (14 , 15) . Furthermore, family studies have found that first-degree relatives of hoarding probands have a greater prevalence of hoarding behavior than the relatives of nonhoarding probands (5 , 7) as well as strong between-sibling correlations of hoarding factor scores (16) .

We recently reported the results of a genome-wide linkage scan of OCD (17) . In the current analyses, we incorporated hoarding behavior in the linkage analysis of OCD in the families assessed in our previous study. First, we conducted the analyses using compulsive hoarding as the affected phenotype. Second, we stratified the families into those with and without at least two members with compulsive hoarding and conducted separate linkage analyses on each group of families. We hypothesized that hoarding characterizes a genetically distinct subtype of OCD and that there are genomic regions specifically associated with this phenotype.

Method

Ascertainment of Families

The OCD Collaborative Genetics Study, which commenced in 2001, is an ongoing collaboration among investigators at six sites in the United States (Brown University, Columbia University/New York State Psychiatric Institute, Johns Hopkins University, Massachusetts General Hospital, University of California at Los Angeles, and the National Institute of Mental Health). The detailed methods are described elsewhere and summarized below (18) .

The OCD Collaborative Genetics Study targeted families with OCD-affected sibling pairs and extended these when possible through affected first- and second-degree relatives. Individuals were recruited into the study from outpatient and inpatient clinics, referrals from clinicians in the community, websites, media advertisements, self-help groups, and annual meetings of the Obsessive Compulsive Foundation. Family history interviews were conducted to determine that there were at least two OCD-affected siblings in the family who were willing to participate and to identify additional affected relatives. All first- and second-degree relatives were considered for inclusion, and families were extended through the first-degree relatives of all affected cases.

To be considered affected, a participant had to meet DSM-IV OCD diagnostic criteria at any time in his or her life. Probands were included if, in addition to meeting DSM-IV criteria, their first onset of obsessions and/or compulsions occurred before 18 years of age. Probands with schizophrenia, severe mental retardation, Tourette’s syndrome, or secondary OCD (OCD occurring exclusively in the context of depression) were excluded. Participants had to be at least 7 years old to participate in the study. After complete description of the study to the subject, written informed consent (or assent for children) was obtained prior to the clinical interview. The protocol was approved by the institutional review board at each site.

Diagnostic Procedures

Diagnostic assessments were conducted by psychiatrists or Ph.D.-level psychologists experienced with clinical evaluations using the OCD Collaborative Genetics Study Assessment Package, modified and developed for the study, as a semistructured format for the evaluation of psychopathology. The OCD section was adapted from the Schedule for Affective Disorders and Schizophrenia-Lifetime Version Modified for the Study of Anxiety Disorders (19) and included detailed screening questions; the Yale-Brown Obsessive Compulsive Scale for the individual’s worst period of OCD and symptom checklist for obsessions and/or compulsions experienced at any point in the individual’s lifetime (20) and, for each obsession or compulsion present, the age at onset, the amount of time occupied by the symptom, and the level of distress caused by the symptom during the worst period. A similar section was developed for assessing tics, Tourette’s syndrome, and other tic disorders. The Structured Clinical Interview for DSM-IV (SCID) (21) was used for assessing other major axis I diagnoses, and a semistructured assessment protocol was used for additional diagnoses of interest. The Family Informant Schedule and Criteria was used to obtain additional information about each participant from a knowledgeable informant (22) . For participants who had received psychiatric treatment, consent was obtained to review relevant medical records and to contact treatment providers, if such information was deemed useful for making diagnoses. Examiners completed a narrative formulation for each subject.

The Johns Hopkins Diagnostic Assignment Checklist was used to collate all the clinical information from the semistructured direct interview, case formulation, informant interview, and medical records. All psychiatric diagnoses were made according to strict DSM-IV criteria. At each site, each subject was reviewed independently by two expert diagnosticians who reviewed all subject data and assigned final best-estimate diagnoses. Final diagnoses were reviewed by diagnosticians at Johns Hopkins University. If all criteria required for having the disorder were met, then a “definite” diagnosis was given. If any required criterion was clearly not met, then the diagnosis was considered “absent.” If it seemed likely that the individual had the diagnosis, but the diagnosticians could not be certain of a given criterion that was required for definite diagnosis, then the diagnosis was made at the “probable” level. If the diagnosticians could not be sure of the presence or absence of a given diagnosis, then that diagnosis was recorded as “unknown.” In the current analyses, only “definite” OCD cases were included as affected in order to minimize potential genetic heterogeneity.

As with other obsessive-compulsive symptoms, hoarding obsessions and compulsions were assessed with the Yale-Brown Obsessive Compulsive Scale. To be assigned, these symptoms had to be clinically significant, i.e., the clinician determined that the individual recognized that his or her symptoms were excessive or unreasonable, and the symptoms caused marked distress, were time consuming, or significantly interfered with a normal routine, occupational functioning, or social activities and relationships.

Blood Collection

In most cases, blood was collected from each subject at the time of the diagnostic interview or by the subject’s physician or local phlebotomy laboratory at a later time. Blood samples were collected from all affected probands, their parents, and their affected relatives. If available, blood samples from unaffected relatives were also collected to help determine the phase used for computing identical by decent sharing probabilities. Blood was sent directly to the NIMH Cell Repository at Rutgers University, where Epstein Barr Virus-transformed lymphoblastoid cell lines were created and deoxyribonucleic acid (DNA) extracted. DNA for the genome-wide scan was sent directly to the Center for Inherited Disease Research for genotyping.

Molecular Genotyping

Genotyping was performed at Center for Inherited Disease Research using a modification of the Cooperative Human Linkage Center, version 10 marker set (386 microsatellite markers; average spacing: 9 cM; average heterozygosity: 0.76). The details have been described previously (17) . Family relationships were analyzed using RELCHECK (23) . Misspecified relationships were corrected or removed if there was insufficient information to determine the true relationship. In addition, PedCheck was used for more complicated genotyping error checking for each individual in the data set (24) . Those genotypes with a posterior probability of being incorrect of greater than 75% were removed from the analysis (25) . In addition, we also used the Merlin program to check for Mendelian inconsistencies and to identify genotypes associated with an excessive number of observed recombinations (26) . Marker allele frequencies were computed using data from one individual randomly chosen from each pedigree.

Characteristics of Compulsive Hoarding Cases

In the OCD Collaborative Genetics Study cohort, 999 subjects in 219 families were examined and included in the genome-wide scan; 624 subjects were diagnosed with definite OCD. For the purpose of the current analyses, hoarding was defined as the presence of either hoarding obsessions or hoarding compulsions as assessed during the clinical interview and confirmed in the diagnostic consensus procedure. A total of 389 (62%) of the OCD subjects had neither hoarding obsessions nor compulsions, while 235 (38%) had either or both hoarding obsessions and/or compulsions. Forty-seven percent of the hoarding subjects reported spending at least 1 hour per day occupied with hoarding symptoms, and 64% reported moderate, severe, or extreme distress that was frequent and disturbing. All but six of the hoarding subjects had other obsessions and compulsions in addition to hoarding. The mean age of onset of hoarding symptoms was 14 years (range: 5 to 69 years). Hoarding and nonhoarding participants, respectively, were similar in gender distribution (female: 68% versus 66%, respectively) and age at interview (37 years versus 35 years, respectively) (7) . Of the 219 families included in the genome scan, 74 families had no hoarding individuals, 71 had only one hoarding individual, and 74 had two or more hoarding family members.

Statistical Methods

Multipoint allele-sharing methods were used to assess evidence for linkage by testing the null hypothesis given that the extent of deviation from identical by decent sharing was equal to zero (27) . Using Merlin version 0.10.2 (26) , we computed the Kong and Cox LOD _all (KAC _all ) statistic for this study. Empirical p values were estimated by simulation under the null hypothesis, using 10,000 or 100,000 replicates with Merlin. In each simulation, the original phenotypes were used, and a new data set, with the same allele frequencies, marker order, genetic distances between markers, as well as missing-data patterns, was generated. Therefore, “significant signals” obtained through simulation are chance findings. Intuitively, when the simulation-derived p values are lower, the probability of observing a false positive KAC LOD score is smaller.

We conducted two types of statistical analyses. First, we tested for linkage using compulsive hoarding as the phenotype. Second, we stratified families a priori into those having two or more family members with compulsive hoarding (74 families) and those having zero members or one member with compulsive hoarding (145 families) and tested for linkage using OCD as the phenotype.

Results

Analyses Based on Compulsive Hoarding as the Phenotype

There was a strong linkage signal on chromosome 14 (at marker D14S588: KAC _all =2.87, p=0.0001; and adjacent marker D14S53: KAC _all =1.87, p=0.002). There also were signals on chromosome 7 (at marker D7S3056: KAC _all =1.90, p=0.002; and adjacent marker D7S2477: KAC _all =1.31, p=0.007) and chromosome 2 (at marker D2S1399: KAC _all =1.49, p=0.004), as well as on chromosome 15 (at marker D15S503: KAC _all =1.22, p=0.009) ( Figure 1 and Table 1 ).

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Analyses Based on Stratification of Families

The linkage findings were different between the two groups of families in several genomic regions. In the families with two or more hoarding relatives, there was a strong signal on chromosome 14 (at marker C14S1937: KAC _all =3.66, p=0.00002); the linkage peak spans a distance of approximately 40 cM. In addition, there was a signal on chromosome 7 (at marker D7S1818: KAC _all =1.67, p=0.003; and adjacent marker D7S817: KAC _all =1.48, p=0.004). There also was a signal on chromosome X (at marker DXS6800: KAC _all =1.92, p=0.002; and adjacent marker DXS7132: KAC _all =1.37, p=0.006). There were additional signals on chromosome 15 (at marker D15S655: KAC _all =1.84, p=0.002; and adjacent marker D15S652: KAC _all =1.38, p=0.006) and chromosome 20 (at marker D20S103: KAC _all =1.32, p=0.007) ( Figure 2 and Table 2 ).

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In the families with zero or one hoarding relative, there was a strong signal on chromosome 3 at marker D3S1262 (KAC _all =3.00, p=0.0001) and adjacent marker D3S2398 (KAC _all =2.86, p=0.0001) and marker D3S2418 (KAC _all =1.63, p=0.003). There also were signals on chromosome 1 at marker D1S1677 (KAC _all =1.31, p=0.007) and the adjacent marker D1S1619 (KAC _all =1.31, p=0.007) ( Figure 3 and Table 3 ).

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Discussion

Over the past two decades, evidence for the familial aggregation of OCD has been reported from family studies (28 – 31) , and segregation analyses support the contribution of major genes with dominant or codominant transmission (32 , 33) . Two genome-wide linkage scans of OCD have been reported to date. In a study of seven large OCD pedigrees with pediatric OCD probands and at least two affected relatives, the strongest linkage finding was on chromosome 9p24, with a dominant parametric LOD score of 1.97 after fine mapping of the region (34) . Recently, Shugart et al. (17) reported the results of a genome-wide linkage scan of families collected as part of the OCD Collaborative Genetics Study. Linkage signals were detected by multipoint analysis on chromosomes 3q27-28 (p=0.0002), 6q (p=0.003), 7p (p=0.001), 1q (p=0.003), and 15q (p=0.006).

OCD is thought to be a complex disorder that is etiologically heterogeneous. The current study utilized the OCD Collaborative Genetics Study genotype data to investigate the possible genetic etiology of the compulsive hoarding phenotype. Based on prior findings that hoarding behavior might characterize a clinical subtype of OCD (1 – 11 , 14 , 15) and aggregates in OCD-affected families (5 , 7 , 16) , we hypothesized that using compulsive hoarding as the phenotype of interest in a genome-wide linkage scan might reduce genetic heterogeneity and lead to stronger evidence of linkage. Considering only those subjects who had the compulsive hoarding phenotype as affected, we found evidence of “suggestive” linkage to a region of chromosome 14 (KAC _all =2.87, p=0.0001), according to the guidelines of Kruglyak and Lander (35) . Other signals on chromosomes 2, 7, and 15 are not considered suggestive using these guidelines.

We also hypothesized that the likelihood of finding genetic linkage would be greater in families having multiple individuals with hoarding, i.e., presumably having a greater “genetic loading” for hoarding, whereas, in families have zero or one hoarding relative, OCD would be linked to other genetic regions. This stratification approach of using clinical features to attempt to create more homogeneous groups has been used in genetic linkage studies of other complex disorders (36) . Using this approach, we found evidence for “significant” linkage of OCD to chromosome 14 (KAC _all =3.66, p=0.00002) in the families with two or more hoarding relatives, whereas there was evidence of “suggestive” linkage to chromosome 3 (KAC _all =2.9, p=0.0001) in the families with fewer than two hoarding individuals. Interestingly, whereas linkage to chromosome 3 was found in the initial scan by Shugart et al. (17) , the strong linkage findings on chromosome 14 emerged only when hoarding was included, either in the phenotypic definition or in stratification of families.

Several potential limitations of this study must be acknowledged. First, we recognize that the power of detecting a linkage signal was limited in the presence of heterogeneity, and the results need to be replicated in a larger cohort. Power analyses indicated that we would need twice the number of families to detect linkage with compulsive hoarding as the phenotype, if the level of heterogeneity were as high as 50%. Second, the location of the peaks on chromosome 14 using the two different methods is 20 cM apart. They could be the same peak, within a margin of chance variation, or they could represent two distinct genetic signals. As for other presumably complex phenotypes, additional analyses of the hoarding trait with a larger number of families and denser set of markers would be important for determining whether these peaks arise from the same or different susceptibility loci (37) . Third, although we used hoarding behavior to define more homogeneous groups, we recognize that several clinical characteristics distinguish hoarding from nonhoarding individuals, such as greater prevalence of anxiety disorders, obsessive-compulsive personality features, and difficulty making decisions (4 – 7) . Therefore, the chromosomal regions identified in this study may be linked to some of these other features rather than or in addition to hoarding behavior.

We analyzed hoarding OCD as a binary trait, although results from factor analysis suggest that hoarding may be construed dimensionally (1 , 16) . If so, treating hoarding as a quantitative trait may provide greater power to detect linkage. In a genome scan of hoarding in 77 sibling pairs concordant for Tourette’s syndrome, Zhang et al. (38) found evidence for linkage to three regions (4q, 5q, and 17q) when hoarding was treated as either a quantitative or binary trait (38) . These linkage regions are different than the ones found in our study, which may be a reflection of the differences in family selection criteria. Whereas the Zhang et al. analyses were of families obtained through Tourette’s syndrome patients and with two or more siblings with Tourette’s syndrome, the OCD Collaborative Genetics Study cohort consisted of multiplex OCD families, most of whom had two or more OCD-affected sibling pairs, obtained through probands with OCD who did not have Tourette’s syndrome.

Hoarding behavior can occur in other conditions, such as Prader-Willi syndrome (39) and velocardiofacial syndrome (40) . We suspect that hoarding behavior itself is heterogeneous, and that the etiology of hoarding behavior is different in various syndromes. Whether compulsive hoarding should be construed as a clinical characteristic of OCD or a syndrome distinct from OCD is an important contemporary diagnostic question. Moreover, hoarding behavior is a major community and public health problem in its own right, and elucidation of its etiology is important. We plan to further investigate the chromosome 14 linkage region using high-density mapping and including additional families. Identifying genes in this region may help to clarify the pathophysiology of compulsive hoarding and to develop more effective treatments for this behavior.