Publications by authors named "Kenneth Kendler"

The network theory of psychopathology posits that mental disorders are systems of mutually reinforcing symptoms. This framework has proven highly generative but does not specify precisely how any specific mental disorder operates as such a system. Cognitive behavioral theories of mental disorders provide considerable insight into how these systems may operate.

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Information on how parental risk for posttraumatic stress disorder (PTSD) relates to their children's risk for drug use disorder (DUD) and alcohol use disorder (AUD) is limited. This study is the first to utilize an extended adoption design which can address questions about the degree of, and sources of, cross-generational and cross-disorder transmission of PTSD and substance use disorders. We examined diagnoses using Swedish National registries for parents and their adult offspring ( = 2,194,171, born 1960-1992) from six types of families (intact (1), not lived with biological father (2) or mother (3), step father (4), step mother (5), and adoptive (6)).

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Background: Drug use Disorder (DUD), the risk for which is substantially influenced by both genetic and social factors, is geographically concentrated in high-risk regions. An important step toward understanding this pattern is to examine geographical distributions of the genetic liability to DUD and a key demographic risk factor - social deprivation.

Methods: We calculated the mean family genetic risk score (FGRS) for DUD ((FGRS) and social deprivation for each of the 5983 areas Demographic Statistical Areas (DeSO) for all of Sweden and used geospatial techniques to analyze and map these factors.

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Article Synopsis
  • The study investigates the relationship between age at onset (AAO) of psychiatric disorders and genetic heterogeneity using Family Genetic Risk Scores (FGRS).
  • Researchers focused on five disorders: drug use disorder, alcohol use disorder, major depression, bipolar disorder, and schizophrenia, analyzing individuals born in Sweden between 1940-2003.
  • Results showed that as AAO increased, schizophrenia displayed increased genetic risk, while major depression became more genetically homogenous, highlighting significant inter-disorder differences in how AAO affects genetic risks.
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  • A study using Swedish national register data involving over 2.8 million individuals investigated the relationship between divorce and family genetic risk scores (FGRS) for ten psychiatric disorders.
  • The findings revealed that individuals who experienced divorce had higher FGRS for all disorders compared to those who remained stably married or never married.
  • Additionally, divorced females exhibited higher FGRS than divorced males, and higher FGRS was linked to those who did not remarry or had multiple divorces, highlighting how genetic factors may influence both divorce rates and psychiatric risk.
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  • Large biobank samples allow researchers to combine detailed family histories and genetic data to investigate complex diseases.
  • The study introduces a new method called Pearson-Aitken Family Genetic Risk Scores (PA-FGRS) to estimate disease risk based on family medical histories.
  • Applying PA-FGRS to major depressive disorder (MDD) shows improved understanding of genetic factors and clinical variability, and enhances the effectiveness of genetic studies across different complex conditions.
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  • The study investigates how marriage impacts the risk of alcohol use disorder (AUD) among Swedes of different cultural backgrounds, utilizing national data from Sweden.
  • Results show that marriage generally reduces AUD risk, but the effect varies depending on cultural background, with males of Finnish descent experiencing less protection than those of Swedish descent.
  • Additionally, marrying someone from a foreign background increases AUD risk for individuals with a Swedish background, although this risk decreases when accounting for familial influences.
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Major depressive disorder (MDD) often goes undiagnosed due to the absence of clear biomarkers. We sought to identify voice biomarkers for MDD and separate biomarkers indicative of MDD predisposition from biomarkers reflecting current depressive symptoms. Using a two-stage meta-analytic design to remove confounds, we tested the association between features representing vocal pitch and MDD in a multisite case-control cohort study of Chinese women with recurrent depression.

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We investigate whether number of episodes (NoEs) meaningfully reflect genetic risk and genetic heterogeneity for five primary disorders-Drug Use Disorder (DUD), Alcohol Use Disorder (AUD), Major Depression (MD), Bipolar Disorder (BD), and Schizophrenia (SZ) ascertained from Swedish population registries. We utilize Genetic Risk Ratios (GRR)-defined as the ratio of the genetic risk for secondary disorders to the genetic risk for the primary disorder-derived from Family Genetic Risk Scores (FGRS). For all five primary disorders, genetic risk rose robustly with increasing NoEs.

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Objective: In the current exploratory study we estimate comorbidity rates between FDs [fibromyalgia (FM), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and irritable bowel syndrome (IBS)]-and IDs-[major depressive disorder (MDD) and generalized anxiety disorder (GAD)] by using self-reported diagnostic criteria.

Method: We analyzed data from 107,849 participants (mean age = 49.3 (SD = 13.

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Background And Hypothesis: To clarify, in a large, representative, longitudinal sample, the rate and predictors of diagnostic conversion from Bipolar Disorder (BD) to Schizophrenia (SZ) and from SZ→BD.

Design: From individuals born in Sweden 1950-1995 and living there in 1970 or later, we identified at least one initial diagnoses of SZ (n = 8449) and BD (n = 8438) followed for a minimum of 10 and a mean of 24 years. Diagnostic conversion required, respectively, at least two final diagnoses of BD and SZ 30 days apart with no intervening diagnosis of SZ or BD.

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Article Synopsis
  • - The study analyzed siblings of individuals with major depression (MD) alongside control groups to examine the familial risks and clinical features of MD over several decades.
  • - Results revealed a correlation (0.20) between MD in probands and their siblings, with factors like early age of onset, number of depressive episodes, and various psychiatric conditions increasing the risk of MD among siblings.
  • - Siblings of MD probands showed significantly elevated risks for various disorders, including ADHD, anxiety disorders, and bipolar disorder, suggesting that familial liability for MD is influenced by genetic factors and overlaps with a range of psychiatric illnesses.
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The DSM-III symptomatic criteria for major depression (MD) were derived from those proposed by Feighner and colleagues in 1972, which closely resembled those published by Cassidy in 1957. I here present a counter-factual history in which Feighner carefully read a key reference in Cassidy, a large 1953 follow-up study by Campbell of depressed patients with detailed tables of depressive signs and symptoms. In this alternative timeline, the Feighner criteria for MD were modified by Campbell's results, which then changed DSM-III and subsequent MD criteria sets.

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To examine whether the level of genetic risk in psychiatric disorders impacts the social functioning of affected individuals, we examine the relationship between genetic risk factors for major depression (MD), anxiety disorders (AD), bipolar disorder (BD), non-affective psychosis (NAP), alcohol use disorder (AUD), and drug use disorder (DUD) in disordered individuals and five adverse social outcomes: unemployment, residence in areas of social deprivation, social welfare, early retirement, and divorce. We examine all cases with registration for these disorders from 1995 to 2015 in individuals born in Sweden. Genetic risk was assessed by the family genetic risk score (FGRS) and statistical estimates by Cox proportional hazard models.

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Importance: Twin studies have found that posttraumatic stress disorder (PTSD) is influenced by both genetic and environmental factors within a generation. No study has used an adoption design, which can address questions about the degree and sources of cross-generational transmission of adverse stress responses (ASRs) and PTSD.

Objectives: To examine whether ASRs or PTSD are transmitted from parents to offspring, and to clarify the relative importance of genes and rearing.

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Objective: Twin studies have demonstrated that posttraumatic stress disorder (PTSD) is moderately heritable, and the pattern of findings across studies suggests higher heritability in females compared with males. Formal testing of sex differences has yet to be done in twin studies of PTSD. The authors sought to estimate the genetic and environmental contributions to PTSD, and to formally test for sex differences, in the largest sample to date of both sexes, among twins and siblings.

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We investigated the functional classes of genomic regions containing SNPS contributing most to the SNP-heritability of important psychiatric and neurological disorders and behavioral traits, as determined from recent genome-wide association studies. We employed linkage-disequilibrium score regression with several brain-specific genomic annotations not previously utilized. The classes of genomic annotations conferring substantial SNP-heritability for the psychiatric disorders and behavioral traits differed systematically from the classes associated with neurological disorders, and both differed from the classes enriched for height, a biometric trait used here as a control outgroup.

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Background: Alcohol use disorder (AUD) is a highly impairing condition with important public health impacts. Despite the availability of treatment options for AUD, research shows that few people receive treatment, and even fewer can maintain abstinence/low-drinking levels. This study investigated the role of personality traits in past-year alcohol use among individuals with severe AUD who ever attended Alcoholics Anonymous (AA), a widespread and easily accessible self-help group for alcohol problems.

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Importance: Dynamical systems theory is widely used to explain tipping points, cycles, and chaos in complex systems ranging from the climate to ecosystems. It has been suggested that the same theory may be used to explain the nature and dynamics of psychiatric disorders, which may come and go with symptoms changing over a lifetime. Here we review evidence for the practical applicability of this theory and its quantitative tools in psychiatry.

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Article Synopsis
  • Psychiatric disorders can fluctuate over a person's lifetime, suggesting a need for a new approach to diagnosis and treatment, influenced by dynamical systems theory which looks at complex systems.
  • This theory posits that mental health can be viewed as a dynamic property, where a healthy state is resilient, while disorders represent alternative states the system can become trapped in.
  • The findings from other complex systems indicate potential new methods for assessing and managing mental health resilience, offering practical applications for psychiatry.
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Genetic factors contribute to the susceptibility of psychotic disorders, but less is known how they affect psychotic disease-course development. Utilizing polygenic scores (PGSs) in combination with longitudinal healthcare data with decades of follow-up we investigated the contributing genetics to psychotic disease-course severity and diagnostic shifts in the SUPER-Finland study, encompassing 10 403 genotyped individuals with a psychotic disorder. To longitudinally track the study participants' past disease-course severity, we created a psychiatric hospitalization burden metric using the full-coverage and nation-wide Finnish in-hospital registry (data from 1969 and onwards).

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