Correlations Between Relative Prevalence of Celiac Disease and Sociodemographic Variables in the United States.

INTRODUCTION: We evaluated the associations between celiac disease (CD) prevalence and regional sociodemographic variables in the United States. METHODS: The outcome was CD relative prevalence, defined as number of patients with CD among those in a Medicare registry per 3-digit ZIP code. Linear regression models assessed associations between relative prevalence of CD and sociodemographic variables. RESULTS: CD relative prevalence was positively correlated with median income, urban area, and proximity to a CD specialty center and negatively correlated with Black race, Latino/Hispanic ethnicity, and median social deprivation index score ( P < 0.01, all). DISCUSSION: CD relative prevalence is associated with indicators of economic advantage.

The bipolar disorder phenome database: a resource for genetic studies.

OBJECTIVE: The purpose of this study was to assemble and validate a database of phenotypic variables that were collected from families with bipolar disorder as a resource for genetic and other biological studies. METHOD: Participants were ascertained for two bipolar disorder genetic linkage studies: the University of Chicago, Johns Hopkins, and National Institute of Mental Health (NIMH) Intramural Program (CHIP) Collaboration and the NIMH Genetics Initiative project. All participants underwent detailed, phenotypic assessment with either the Schedule for Affective Disorders and Schizophrenia-Lifetime Version or one of four versions of the Diagnostic Interview for Genetic Studies. Clinicians reviewed the interview items and derived variable definitions that were used to extract data from the original datasets. The combined data were subjected to range and logic assessments, and a subset was re-verified against the original data. Inconsistent data and variables that were deemed unreliable were excluded. Several of the resulting variables were characterized in the total cohort and tested for familial clustering, heritability, and statistical power in genetic linkage and association studies. RESULTS: The combined database of phenotypic variables contained 197 variables on 5,721 subjects in 1,177 families. Deoxyribonucleic acid (DNA) samples are available for 5,373 of these subjects. The clinical presentation of bipolar disorder varied markedly. Most subjects suffered from serious and often disabling illness. Many phenotypic variables are strongly familial, and some quantitative variables are highly heritable. The cohort assembled in this study offers substantial power to carry out genetic linkage and association studies that use specific clinical features as covariates or as primary phenotypes. CONCLUSIONS: This is the largest database of phenotypic variables yet assembled for bipolar disorder, and it is now available to the research community. Researchers and clinicians can use this database to explore the connections between phenomenology and genetics in a cohort that is adequately powered to detect even modest genetic effects in bipolar disorder.

Genetics of recurrent early-onset major depression (GenRED): final genome scan report.

OBJECTIVE: The authors carried out a genomewide linkage scan to identify chromosomal regions likely to contain genes that contribute to susceptibility to recurrent early-onset major depressive disorder, the form of the disorder with the greatest reported risk to relatives of index cases. METHOD: Microsatellite DNA markers were studied in 656 families with two or more such cases (onset before age 31 in probands and age 41 in other relatives), including 1,494 informative "all possible" affected relative pairs (there were 894 independent affected sibling pairs). Analyses included a primary multipoint allele-sharing analysis (with ALLEGRO) and a secondary logistic regression analysis taking the sex of each relative pair into account (male-male, male-female, female-female). RESULTS: Genomewide suggestive evidence for linkage was observed on chromosome 15q25-q26 (at 105.4 centimorgans [cM]). The authors previously reported genomewide significant linkage in this region in the first 297 families. In the secondary analysis, after empirical genomewide correction for multiple testing, suggestive linkage results were observed on chromosome 17p12 (28.0 cM, excess sharing in male-male and male-female pairs) and on chromosome 8p22-p21.3 (25.1 cM, excess sharing in male-male pairs). CONCLUSIONS: These regions of chromosomes 15q, 17p, and 8p might contain genes that contribute to susceptibility to major depression and related disorders. Evidence for linkage has been reported independently in the same regions of chromosome 15q for major depression and of chromosome 8p for related personality traits.

Genetics of recurrent early-onset major depression (GenRED): significant linkage on chromosome 15q25-q26 after fine mapping with single nucleotide polymorphism markers.

OBJECTIVE: The authors studied a dense map of single nucleotide polymorphism (SNP) DNA markers on chromosome 15q25-q26 to maximize the informativeness of genetic linkage analyses in a region where they previously reported suggestive evidence for linkage of recurrent early-onset major depressive disorder. METHOD: In 631 European-ancestry families with multiple cases of recurrent early-onset major depressive disorder, 88 SNPs were genotyped, and multipoint allele-sharing linkage analyses were carried out. Marker-marker linkage disequilibrium was minimized, and a simulation study with founder haplotypes from these families suggested that linkage scores were not inflated by linkage disequilibrium. RESULTS: The dense SNP map increased the information content of the analysis from around 0.7 to over 0.9. The maximum evidence for linkage was the Z likelihood ratio score statistic of Kong and Cox (Z(LR))=4.69 at 109.8 cM. The exact p value was below the genomewide significance threshold. By contrast, in the genome scan with microsatellite markers at 9 cM spacing, the maximum Z(LR) for European-ancestry families was 3.43 (106.53 cM). It was estimated that the linked locus or loci in this region might account for a 20% or less populationwide increase in risk to siblings of cases. CONCLUSIONS: This region has produced modestly positive evidence for linkage to depression and related traits in other studies. These results suggest that DNA sequence variations in one or more genes in the 15q25-q26 region can increase susceptibility to major depression and that efforts are warranted to identify these genes.

Reproductive cycle-associated mood symptoms in women with major depression and bipolar disorder.

BACKGROUND: We sought to determine the prevalence of, and association between, reproductive cycle-associated mood symptoms in women with affective disorders. We hypothesized that symptoms would correlate with each other across a woman's reproductive life span in both major depression (MDD) and bipolar I disorder (BP). METHODS: 2412 women with, MDD or BP were asked standardized questions about mood symptoms prior to menstruation, within a month of childbirth and during perimenopause. Lifetime rates for each of these symptom types were determined and an odds ratio was calculated correlating each of the types with the others. RESULTS: Of 2524 women with mood disorders, 67.7% reported premenstrual symptoms. Of those at risk, 20.9% reported postpartum symptoms and 26.4% reported perimenopausal symptoms. The rates did not differ between women with MDD and BP but were significantly different from women who were never ill. The symptoms were significantly correlated in women with MDD with odds ratios from 1.66 to 1.82, but were not in women with BP. LIMITATIONS: This is a secondary analysis of a sample that was collected for other purposes and is based upon retrospective reporting. CONCLUSIONS: Reproductive cycle-associated mood symptoms were commonly reported in women with mood disorders and did not differ based on diagnosis. In MDD, but not BP, the occurrence of these symptoms was trait-like as the presence of one predicted the occurrence of the others. Further prospective study is required to clarify the determinants of this trait.

Attempted suicide in bipolar disorder pedigrees: evidence for linkage to 2p12.

BACKGROUND: We are interested in identifying susceptibility genes that predispose subjects to attempted suicide. METHODS: We conducted a secondary analysis of genome-wide linkage data from 162 bipolar pedigrees that incorporated attempted suicide as a clinical covariate. RESULTS: The strongest covariate-based linkage signal was seen on 2p12 at marker D2S1777. The logarithm of odds (LOD) score at marker D2S1777 rose from 1.56 to 3.82 after inclusion of the suicide covariate, resulting in significant chromosome-wide empirically derived p-values for the overall linkage finding (p = .01) and for the change in LOD score after the inclusion of the covariate (p = .02). CONCLUSIONS: The finding on chromosome 2 replicates results from two previous studies of attempted suicide in pedigrees with alcohol dependence and in pedigrees with recurrent early-onset depression. Combined, these three studies provide compelling evidence for a locus influencing attempted suicide on 2p12.

A comparison of the familiality of chronic depression in recurrent early-onset depression pedigrees using different definitions of chronicity.

BACKGROUND: The study of chronicity in the course of major depression has been complicated by varying definitions of this illness feature. Because familial clustering is one component of diagnostic validity we compared family clustering of chronicity as defined in the DSM-IV to that of chronicity determined by an assessment of lifetime course of depressive illness. METHODS: In 1750 affected subjects from 652 families recruited for a genetic study of recurrent, early-onset depression, we applied several definitions of chronicity. Odds ratios were determined for the likelihood of chronicity in a proband predicting chronicity in an affected relative. RESULTS: There was greater family clustering of chronicity as determined by assessment of lifetime course (OR=2.54) than by DSM-IV defined chronic major depressive episode (MDE) (OR=1.93) or dysthymic disorder (OR=1.76). In families with probands who had preadolescent onset of MDD, familiality was increased by all definitions, with a much larger increase observed for chronicity by lifetime course (ORs were 6.14 for lifetime chronicity, 2.43 for chronic MDE, and 3.42 for comorbid dysthymic disorder). Agreement between these definitions of chronicity was only fair. LIMITATIONS: The data used to determine chronicity were collected retrospectively and not blindly to relatives' status, and assessment of lifetime course was based on global clinical impressions gathered during a semi-structured diagnostic interview. Also, it can be difficult to determine whether individuals with recurrent major depressive episodes who frequently experience long periods of low grade depressive symptoms meet the strict timing requirements of DSM-IV dysthymic disorder. CONCLUSIONS: An assessment of lifetime symptom course identifies a more familial, and thus possibly a more valid, type of chronic depression than the current DSM-IV categories which are defined in terms of particular cross-sectional features of illness.

Familial aggregation of illness chronicity in recurrent, early-onset major depression pedigrees.

OBJECTIVE: The authors used a large sample collected for genetic studies to determine whether a chronic course of illness defines a familial clinical subtype in major depressive disorder. METHOD: A measure of lifetime chronicity of depressive symptoms (substantial mood symptoms most or all of the time) was tested for familial aggregation in 638 pedigrees from the Genetics of Recurrent Early-Onset Depression (GenRED) project. RESULTS: In subjects with chronic depression, the mean age at illness onset was lower and rates of attempted suicide, panic disorder, and substance abuse were higher than among those with nonchronic depression. Chronicity was assessed in 37.8% of affected first-degree relatives of probands with chronic depression and in 20.2% of relatives of probands with nonchronic depression. Analysis using the generalized estimating equation model yielded an odds ratio of 2.52 (SE=0.39, z=6.02, p<0.0001) for the likelihood of chronicity in a proband predicting chronicity in an affected relative. With stratification by proband age at illness onset, the odds ratio for chronicity in relatives by proband chronicity status was 6.17 (SE=2.09, z=5.35, p<0.0001) in families of probands whose illness onset was before age 13 and 1.92 (SE=0.34, z=3.72, p<0.0001) in families of probands whose illness started at age 13 or later. CONCLUSIONS: These findings suggest that chronicity of depressive symptoms is familial, especially in preadolescent-onset illness. Chronicity is also associated with other indicators of illness severity in recurrent, early-onset major depression. Further study using chronicity as a subtype in the genetic analysis of depressive illness is warranted. Refinement of the definition of chronicity in depressive illness may increase the power of such studies.

Is perinatal depression familial?

BACKGROUND: While major depressive disorder (MDD) is familial, it is not clear whether distinct familial-genetic factors influence vulnerability to depression during or after pregnancy. Here we examine familial aggregation of perinatal major depression (PND, any episode during pregnancy or the month after childbirth) and the subset of post-partum depression (PPD) in families with multiple cases of recurrent, early-onset MDD from the Genetics of Recurrent Early-Onset Depression dataset. METHODS: The dataset included 691 childbearing women who could be classified as PND (27.6%) or non-PND (NPND), of whom 328 were members of 148 sibships with two or more PND or NPND women. PND and NPND subjects were compared for differences in putative predictors. Prediction of sibling PND or PPD by the proband's history was examined using logistic regression and general estimating equation methods. RESULTS: PND was associated with fewer episodes and younger current age. Odds ratios for prediction of sibling status were significant for PND (2.28) and PPD (3.96), particularly when current age was under 46 (2.87 and 4.39, respectively). ORs for PPD were not significantly different from those for PND. The OR for PPD (3.52), but not for PND, remained significant after current age was introduced as a covariate, but not when both current age and number of episodes were included in the model. LIMITATIONS: Because detailed data were not collected for all pregnancies, we cannot determine whether current age and number of episodes mediated the observed effects due to recall bias or other factors (cohort effect, number of episodes). CONCLUSIONS: A familial component to PND, and particularly PPD, is suggested by the results. However more systematic study is needed to confirm this result. A greater understanding of both genetic and non-genetic familial factors could lead to improved prevention and clinical management.

Familial aggregation of psychotic symptoms in a replication set of 69 bipolar disorder pedigrees.

We found evidence previously of familial aggregation of psychotic symptoms in 65 bipolar disorder pedigrees. This finding, together with prior evidence from clinical, family, neurobiological, and linkage studies, suggested that psychotic bipolar disorder may delineate a valid subtype. We sought to replicate this finding in 69 new bipolar disorder pedigrees. The presence of psychotic symptoms, defined as hallucinations or delusions, during an affective episode was compared in families of 46 psychotic and 23 non-psychotic bipolar I probands ascertained at Johns Hopkins for the NIMH Bipolar Disorder Genetics Initiative. There were 198 first-degree relatives with major affective disorder including 90 with bipolar I disorder. Significantly more psychotic proband families than non-psychotic proband families (76% vs. 48%) contained at least one affected relative with psychotic symptoms. Psychotic symptoms occurred in 35% of relatives of psychotic probands and in 22% of relatives of non-psychotic probands (P = 0.10). Both psychotic affective disorder generally and psychotic bipolar I disorder clustered significantly in families. These results are consistent with our prior report although the magnitude of the predictive effect of a psychotic proband is less in the replication families. Our findings provide modest support for the validity of psychotic bipolar disorder as a subtype of bipolar disorder. This clinically defined subtype may prove more homogeneous than the disorder as a whole at the level of genetic etiology and of neuropathology/pathophysiology. Families with this subtype should be used to search for susceptibility genes common to bipolar disorder and schizophrenia, and for biological markers that may be shared with schizophrenia.