Highly public anti-Black violence is associated with poor mental health days for Black Americans.

Highly public anti-Black violence in the United States may cause widely experienced distress for Black Americans. This study identifies 49 publicized incidents of racial violence and quantifies national interest based on Google searches; incidents include police killings of Black individuals, decisions not to indict or convict the officer involved, and hate crime murders. Weekly time series of population mental health are produced for 2012 through 2017 using two sources: 1) Google Trends as national search volume for psychological distress terms and 2) the Behavioral Risk Factor Surveillance System (BRFSS) as average poor mental health days in the past 30 d among Black respondents (mean weekly sample size of 696). Autoregressive moving average (ARMA) models accounted for autocorrelation, monthly unemployment, season and year effects, 52-wk lags, news-related searches for suicide (for Google Trends), and depression prevalence and percent female (for BRFSS). National search interest varied more than 100-fold between racial violence incidents. Black BRFSS respondents reported 0.26 more poor mental health days during weeks with two or more racial incidents relative to none, and 0.13 more days with each log10 increase in national interest. Estimates were robust to sensitivity tests, including controlling for monthly number of Black homicide victims and weekly search interest in riots. As expected, racial incidents did not predict average poor mental health days among White BRFSS respondents. Results with national psychological distress from Google Trends were mixed but generally unsupportive of hypotheses. Reducing anti-Black violence may benefit Black Americans' mental health nationally.

Social inequities in neighborhood health amenities over time in the Wasatch Front Region of Utah: Historical inequities, population selection, or differential investment?

Socially disadvantaged groups generally are more likely to reside in areas with less desirable conditions. We examined longitudinal relationships between neighborhood resident characteristics and amenities from 1990 to 2010 in an urban area of Utah, U.S. Four temporal patterns of social inequities are described using mixed-effects models: historical inequities; differential selection into amenity-rich tracts; differential investment in amenities; and simultaneous twenty-year change. Results indicate historical differences by neighborhood socioeconomic status, with lower status tracts having fewer green/natural amenities and higher air pollution in 1990 but also greater walkability and more food stores. Differences in amenities by neighborhood socioeconomic status widened over time as aggregate socioeconomic status disproportionately increased in tracts with more green/natural amenities, less air pollution, and lower walkability in 1990, consistent with differential selection. Tract percentage non-Hispanic White did not predict historical differences, but tracts that were less walkable and had fewer healthy food stores in 1990 experienced larger subsequent increases in racial/ethnic diversity. Tracts with higher relative to lower percentage non-Hispanic White in 1990 had larger decreases in air pollution but declining green/natural amenities. This study shows how social inequities in neighborhood amenities change over time, providing evidence of historical socioeconomic differences increasing from differential resident selection.

Leveraging Existing Datasets to Advance Family Caregiving Research: Opportunities to Measure What Matters.

More than 17.7 million people in the U.S. care for older adults. Analyzing population datasets can increase our understanding of the needs of family caregivers of older adults. We reviewed 14 U.S. population-based datasets (2003-2023) including older adults' and caregivers' data to assess inclusion and measurement of 8 caregiving science domains, with a focus on whether measures were validated and/or unique variables were used. Challenges exist related to survey design, sampling, and measurement. Findings highlight the need for consistent data collection by researchers, state, tribal, local, and federal programs, for improved utility of population-based datasets for caregiving and aging research.

A population-wide analysis of the familial risk of suicide in Utah, USA.

BACKGROUND: The degree to which suicide risk aggregates in US families is unknown. The authors aimed to determine the familial risk of suicide in Utah, and tested whether familial risk varies based on the characteristics of the suicides and their relatives. METHODS: A population-based sample of 12 160 suicides from 1904 to 2014 were identified from the Utah Population Database and matched 1:5 to controls based on sex and age using at-risk sampling. All first through third- and fifth-degree relatives of suicide probands and controls were identified (N = 13 480 122). The familial risk of suicide was estimated based on hazard ratios (HR) from an unsupervised Cox regression model in a unified framework. Moderation by sex of the proband or relative and age of the proband at time of suicide (<25 v. ⩾25 years) was examined. RESULTS: Significantly elevated HRs were observed in first- (HR 3.45; 95% CI 3.12-3.82) through fifth-degree relatives (HR 1.07; 95% CI 1.02-1.12) of suicide probands. Among first-degree relatives of female suicide probands, the HR of suicide was 6.99 (95% CI 3.99-12.25) in mothers, 6.39 in sisters (95% CI 3.78-10.82), and 5.65 (95% CI 3.38-9.44) in daughters. The HR in first-degree relatives of suicide probands under 25 years at death was 4.29 (95% CI 3.49-5.26). CONCLUSIONS: Elevated familial suicide risk in relatives of female and younger suicide probands suggests that there are unique risk groups to which prevention efforts should be directed - namely suicidal young adults and women with a strong family history of suicide.

Long-term maternal mortality risk following spontaneous preterm birth: A retrospective cohort study.

OBJECTIVE: To determine whether women with spontaneous preterm birth (PTB) have increased risks for long-term mortality. DESIGN: Retrospective cohort. SETTING: Births in Utah between 1939 and 1977. POPULATION: We included women with a singleton live birth ≥20 weeks who survived at least 1 year following delivery. We excluded those who had never lived in Utah, had improbable birthweight/gestational age combinations, underwent induction (except for preterm membrane rupture) or had another diagnosis likely to cause PTB. METHODS: Exposed women had ≥1 spontaneous PTB between 20+0 weeks and 37+0 weeks. Women with >1 spontaneous PTB were included only once. Unexposed women had all deliveries at or beyond 38+0 weeks. Exposed women were matched to unexposed women by birth year, infant sex, maternal age group and infant birth order. Included women were followed up to 39 years after index delivery. MAIN OUTCOME MEASURES: Overall and cause-specific mortality risks were compared using Cox regression. RESULTS: We included 29 048 exposed and 57 992 matched unexposed women. There were 3551 deaths among exposed (12.2%) and 6013 deaths among unexposed women (10.4%). Spontaneous PTB was associated with all-cause mortality (adjusted hazard ratio [aHR] 1.26, 95% confidence interval [CI] 1.21-1.31), death from neoplasms (aHR 1.10, 95% CI 1.02-1.18), circulatory disease (aHR 1.35, 95% CI 1.25-1.46), respiratory disease (aHR 1.73, 95% CI 1.46-2.06), digestive disease (aHR 1.33, 95% CI 1.12-1.58), genito-urinary disease (aHR 1.60, 95% CI 1.15-2.23) and external causes (aHR 1.39, 95% CI 1.22-1.58). CONCLUSIONS: Spontaneous PTB is associated with modestly increased risks for all-cause and some cause-specific mortality.

Disparities and determinants of place of death: Insights from the Utah Population Database.

To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or unknown. The model includes family relationship variables, sex, race and ethnicity, and a socioeconomic status score, with control variables for age at death and death year. We identified the effect of a family network of multiple caregivers, with 3+ daughters decreasing odds of a hospital death by 17 percent (OR: 0.83 [0.79, 0.87], p < 0.001). Place of death also varies significantly by race and ethnicity, with most nonwhite groups more likely to die in a hospital. These determinants may contribute to disparities in end of life.

Cardiovascular disease risk in long-term breast cancer survivors: A population-based cohort study.

BACKGROUND: Breast cancer survival is increasing, making late effects such as cardiovascular disease (CVD) more relevant. The purpose of this study was to evaluate incident CVD following breast cancer diagnosis among long-term survivors and to investigate possible risk factors for CVD. METHODS: A population-based cohort of 6641 breast cancer survivors diagnosed between 1997 and 2009 who survived at least 10 years was identified within the Utah Cancer Registry. In addition, 36,612 cancer-free women from the general population, matched by birth year and state, were identified within the Utah Population Database. Cox proportional hazards models were used to calculate CVD hazard ratios (HRs) for >10 to 15 and >15 years. RESULTS: Long-term breast cancer survivors had an increased risk of newly diagnosed diseases of the circulatory system (HR, 1.32; 99% confidence interval [CI], 1.00-1.75) from 10 to 15 years following cancer diagnosis compared with the general population. No increased CVD risks were observed after 15 years. Breast cancer survivors with Charlson Comorbidity Index score ≥2 had a significantly higher risk of diseases of the circulatory system (HR, 2.64; 95% CI, 1.08-6.45) beyond 10 years following breast cancer diagnosis. Similarly, older age, obesity, lower education, and family history of CVD and breast cancer were risk factors for heart and circulatory system diseases among long-term breast cancer survivors. CONCLUSION: Risk of CVD compared to the general population was moderate among this cohort of long-term breast cancer survivors between 10 to 15 years since cancer diagnosis. Awareness of CVD risks is important for breast cancer survivors.

Mental health disorders are more common in patients with Hodgkin lymphoma and may negatively impact overall survival.

BACKGROUND: Long-term mental health outcomes were characterized in patients who were diagnosed with Hodgkin lymphoma (HL), and risk factors for the development of mental health disorders were identified. METHODS: Patients who were diagnosed with HL between 1997 and 2014 were identified in the Utah Cancer Registry. Each patient was matched with up to five individuals from a general population cohort identified within the Utah Population Database, a unique source of linked records that includes patient and demographic data. RESULTS: In total, 795 patients who had HL were matched with 3575 individuals from the general population. Compared with the general population, patients who had HL had a higher risk of any mental health diagnosis (hazard ratio, 1.77; 95% confidence interval, 1.57-2.00). Patients with HL had higher risks of anxiety, depression, substance-related disorders, and suicide and intentional self-inflicted injuries compared with the general population. The main risk factor associated with an increased risk of being diagnosed with mental health disorders was undergoing hematopoietic stem cell transplantation, with a hazard ratio of 2.06 (95% confidence interval, 1.53-2.76). The diagnosis of any mental health disorder among patients with HL was associated with a detrimental impact on overall survival; the 10-year overall survival rate was 70% in patients who had a mental health diagnosis compared with 86% in those patients without a mental health diagnosis (p < .0001). CONCLUSIONS: Patients who had HL had an increased risk of various mental health disorders compared with a matched general population. The current data illustrate the importance of attention to mental health in HL survivorship, particularly for patients who undergo therapy with hematopoietic stem cell transplantation.

Neurexin 1 variants as risk factors for suicide death.

Suicide is a significant public health concern with complex etiology. Although the genetic component of suicide is well established, the scope of gene networks and biological mechanisms underlying suicide has yet to be defined. Previously, we reported genome-wide evidence that neurexin 1 (NRXN1), a key synapse organizing molecule, is associated with familial suicide risk. Here we present new evidence for two non-synonymous variants (rs78540316; P469S and rs199784139; H885Y) associated with increased familial risk of suicide death. We tested the impact of these variants on binding interactions with known partners and assessed functionality in a hemi-synapse formation assay. Although the formation of hemi-synapses was not altered with the P469S variant relative to wild-type, both variants increased binding to the postsynaptic binding partner, leucine-rich repeat transmembrane neuronal 2 (LRRTM2) in vitro. Our findings indicate that variants in NRXN1 and related synaptic genes warrant further study as risk factors for suicide death.

Birth Spacing and Health and Socioeconomic Outcomes Across the Life Course: Evidence From the Utah Population Database.

The relationship between birth interval length and child outcomes has received increased attention in recent years, but few studies have examined offspring outcomes across the life course in North America. We use data from the Utah Population Database to examine the relationship between birth intervals and short- and long-term outcomes: preterm birth, low birth weight (LBW), infant mortality, college degree attainment, occupational status, and adult mortality. Using linear regression, linear probability models, and survival analysis, we compare results from models with and without sibling comparisons. Children born after a birth interval of 9-12 months have a higher probability of LBW, preterm birth, and infant mortality both with and without sibling comparisons; longer intervals are associated with a lower probability of these outcomes. Short intervals before the birth of the next youngest sibling are also associated with LBW, preterm birth, and infant mortality both with and without sibling comparisons. This pattern raises concerns that the sibling comparison models do not fully adjust for within-family factors predicting both spacing and perinatal outcomes. In sibling comparison analyses considering long-term outcomes, not even the very shortest birth intervals are negatively associated with educational or occupational outcomes or with long-term mortality. These findings suggest that extremely short birth intervals may increase the probability of poor perinatal outcomes but that any such disadvantages disappear over the extended life course.

Fertility treatments and the risk of preterm birth among women with subfertility: a linked-data retrospective cohort study.

BACKGROUND: In vitro fertilization (IVF) births contribute to a considerable proportion of preterm birth (PTB) each year. However, there is no formal surveillance of adverse perinatal outcomes for less invasive fertility treatments. The study objective was to describe associations between fertility treatment (in vitro fertilization, intrauterine insemination, usually with ovulation drugs (IUI), or ovulation drugs alone) and preterm birth, compared to no treatment in subfertile women. METHODS: The Fertility Experiences Study (FES) is a retrospective cohort study conducted at the University of Utah between April 2010 and September 2012. Women with a history of primary subfertility self-reported treatment data via survey and interviews. Participant data were linked to birth certificates and fetal death records to asses for perinatal outcomes, particularly preterm birth. RESULTS: A total 487 birth certificates and 3 fetal death records were linked as first births for study participants who completed questionnaires. Among linked births, 19% had a PTB. After adjustment for maternal age, paternal age, maternal education, annual income, religious affiliation, female or male fertility diagnosis, and duration of subfertility, the odds ratios and 95% confidence intervals (CI) for PTB were 2.17 (CI 0.99, 4.75) for births conceived using ovulation drugs, 3.17 (CI 1.4, 7.19) for neonates conceived using IUI and 4.24 (CI 2.05, 8.77) for neonates conceived by IVF, compared to women with subfertility who used no treatment during the month of conception. A reported diagnosis of female factor infertility increased the adjusted odds of having a PTB 2.99 (CI 1.5, 5.97). Duration of pregnancy attempt was not independently associated with PTB. In restricting analyses to singleton gestation, odds ratios were not significant for any type of treatment. CONCLUSION: IVF, IUI, and ovulation drugs were all associated with a higher incidence of preterm birth and low birth weight, predominantly related to multiple gestation births.

Infertility treatments such as in vitro fertilization are associated with preterm birth, but less is known about how other less invasive treatments contribute to preterm birth. This study compares different types of fertility treatments and rates of preterm birth with women who are also struggling with infertility but did not use fertility treatments at the time of their pregnancy. 490 women were recruited at the University of Utah between 2010 and 2012. Participants were asked to complete a survey and were linked to birth certificate and fetal death certificate data. Women who used in vitro fertilization were 4.24 times more likely to have a preterm birth than those who used no treatment. Use of intrauterine insemination were 3.17 times more likely to have a preterm birth than those who used no treatment at time of conception. Ovulation stimulating drugs were 2.17 times more likely to have a preterm birth. Having female factor infertility was also associated with higher odds of having preterm birth. For those who are having trouble conceiving, trying less invasive treatments to achieve pregnancy might reduce their risk of preterm birth.

Seasonal variation in semen quality is not associated with fecundity in the Utah Population Database.

We determine whether a suspected seasonal variability in semen quality affect subsequent live birth rates. This is a retrospective, cohort analysis of men who provided semen analyses as part of fertility workup through a large andrology lab between 1996 and 2013 and corresponding birth rates using the Utah Population Database (UPDB). Semen parameters were analysed including total motile count (TMC), total sperm count, sperm concentration and progressive motility. Corresponding live births reflect those born in the state of Utah and were derived from birth certificate data available in the UPDB. Descriptive statistics were reported along with linear regression analysis with mixed effected models to test for an interaction between seasonal variation in semen quality and birth rates, accounting for age at the time of the semen analysis and abstinence time. A total of 11,929 patients and 14,765 semen samples were included. Only 3597 men (39% of men) had one or more values outside the World Health Organization reference range for their semen parameters. Linear regression demonstrated a consistent U-shaped relationship between TMC, total sperm count, and sperm concentration and season, with spring and winter yielding the highest values with a decline in the summer and fall. 7319 of these males had recorded live births for a total of 13,502 live births during the study period after a median follow-up of 7.2 years (IQR: 3.9-11.0). We did not find a significant interaction between specific semen parameters for a specific season and subsequent live births. Semen quality was the highest in the spring and winter, however there was no interaction between seasonal variability in semen quality and subsequent births. This is one of the largest studies describing seasonal variation in semen quality in humans.

Lower female partner live birth rate in male cancer survivors: An age-matched cohort analysis of the Utah Population Database.

We determine the time to first live birth for female partners of males after a cancer diagnosis. Our group performed a retrospective, population-based, age-matched cohort study of Utah male residents diagnosed with cancer at age 18 years or later between 1956 and 2013 (exposed) matched to male Utah residents without cancer diagnosis (unexposed). Using stratified Cox proportional hazard models, we adjusted for race, ethnicity and number of live births prior to cancer diagnosis, to estimate the effect of time to a partner live birth following cancer diagnosis. Our study cohort included 19,303 men diagnosed with cancer (exposed) and 93,608 age-matched men without cancer diagnoses (unexposed). Exposed men were less likely to have a live birth prior to first cancer diagnosis (60.7% vs. 65.4%, p < 0.001) and after first cancer diagnosis (10.9% vs. 12.2%, p < 0.001) compared to unexposed men. Exposed men had a fertility hazard rate that was 31% lower after cancer diagnosis date than unexposed men (HR: 0.69; 95% CI: 0.65-0.72). This was most profound for men aged 18-30 years (HR: 0.59, 95% CI: 0.55-0.63). Male cancer survivors have a 31% lower female partner live birth rate after cancer diagnosis. These findings are important for patient counselling regarding fertility preservation at the time of cancer diagnosis.

How good are medical and death records for identifying dementia?

INTRODUCTION: Retrospective studies using administrative data may be an efficient way to assess risk factors for dementia if diagnostic accuracy is known. METHODS: Within-individual clinical diagnoses of Alzheimer's disease (AD) and all-cause dementia in ambulatory (outpatient) surgery, inpatient, Medicare administrative records and death certificates were compared with research diagnoses among participants of Cache County Study on Memory, Health, and Aging (CCSMHA) (1995-2008, N = 5092). RESULTS: Combining all sources of clinical health data increased sensitivity for identifying all-cause dementia (71%) and AD (48%), while maintaining relatively high specificity (81% and 93%, respectively). Medicare claims had the highest sensitivity for case identification (57% and 40%, respectively). DISCUSSION: Administrative health data may provide a less accurate method than a research evaluation for identifying individuals with dementing disease, but accuracy is improved by combining health data sources. Assessing all-cause dementia versus a specific cause of dementia such as AD will result in increased sensitivity, but at a cost to specificity.

Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide.

Suicide is the 10th leading cause of death in the United States. Although environment has undeniable impact, evidence suggests that genetic factors play a significant role in completed suicide. We linked a resource of ~ 4500 DNA samples from completed suicides obtained from the Utah Medical Examiner to genealogical records and medical records data available on over eight million individuals. This linking has resulted in the identification of high-risk extended families (7-9 generations) with significant familial risk of completed suicide. Familial aggregation across distant relatives minimizes effects of shared environment, provides more genetically homogeneous risk groups, and magnifies genetic risks through familial repetition. We analyzed Illumina PsychArray genotypes from suicide cases in 43 high-risk families, identifying 30 distinct shared genomic segments with genome-wide evidence (p = 2.02E-07-1.30E-18) of segregation with completed suicide. The 207 genes implicated by the shared regions provide a focused set of genes for further study; 18 have been previously associated with suicide risk. Although PsychArray variants do not represent exhaustive variation within the 207 genes, we investigated these for specific segregation within the high-risk families, and for association of variants with predicted functional impact in ~ 1300 additional Utah suicides unrelated to the discovery families. None of the limited PsychArray variants explained the high-risk family segregation; sequencing of these regions will be needed to discover segregating risk variants, which may be rarer or regulatory. However, additional association tests yielded four significant PsychArray variants (SP110, rs181058279; AGBL2, rs76215382; SUCLA2, rs121908538; APH1B, rs745918508), raising the likelihood that these genes confer risk of completed suicide.

Are paternal or grandmaternal age associated with higher probability of trisomy 21 in offspring? A population-based, matched case-control study, 1995-2015.

BACKGROUND: Fetal aneuploidy risk increases with maternal age, but the majority of pregnancies complicated by trisomy 21 occur in younger women. It has been suggested that grandmaternal and/or paternal age may also play a role. OBJECTIVES: To assess the association between grandmaternal and paternal age and trisomy 21. METHODS: For the grandmaternal assessments, we included all offspring with trisomy 21 in a statewide birth defects surveillance system (1995-2015) that could be linked to 3-generation matrilineal pedigrees in the Utah Population Database. Ten sex/birth year-matched controls were selected for each case (770 cases and 7700 controls). For the paternal assessments, our cohort included all trisomy 21 cases (1995-2015) where both the mother and father resided in Utah at the time of birth (1409 cases and 14 090 controls). Ages were categorised by 5-year intervals (reference: 25-29 years). Conditional logistic regression, adjusting for potential confounding factors, was used to model the association between grandmaternal and paternal age and trisomy 21. RESULTS: No association between grandmaternal age and trisomy 21 was detected, whether age was assessed continuously (adjusted odds ratio [OR] 1.01, 95% confidence interval [CI] 0.98, 1.03) or categorically after adjusting for grandmaternal and grandpaternal race/ethnicity and grandpaternal age. Compared to fathers aged 20-29 years, fathers <20 years (OR 3.15, 95% CI 1.99, 4.98) and 20-24 years (OR 1.39, 95% CI 1.11, 1.73) had increased odds of trisomy 21 offspring, after adjusting for maternal and paternal race/ethnicity and maternal age. Results were consistent after excluding stillbirths, multiples, and trisomy 21 due to translocation or mosaicism. CONCLUSIONS: Maternal age is an important risk factor for trisomy 21 offspring; however, this population-based study shows that that young paternal age is also associated with trisomy 21, after taking into account maternal age and race/ethnicity.

Lower total motile count is associated with smaller historic intergenerational family size: a pedigree analysis from the Utah Population Database.

PURPOSE: To describe the association between contemporary total motile count (TMC), a measure of male factor infertility, and historic intergenerational family size. METHODS: This is a retrospective, population-based, cohort study of men who underwent semen analysis for infertility workup at University of Utah, with at least a single measure of TMC, who were linked to extensive genealogical data. Two thousand one hundred eighty-two pedigree branches of men with a measure of TMC within the UPDB were identified. We identified the average number of generations and offspring within each generation. Conditional logistic regression models were used to assess the association between the risk of having a TMC in the 5th or 25th percentile and intergenerational family size. Generalized estimating equations (GEE) were used to assess the association between interval-level TMC and the number of ancestral offspring. RESULTS: We found no association between intergenerational size and TMC within the 5th percentile (TMC < 4 million; RR = 0.97, 95% CI 0.93-1.01) or the 25th percentile (TMC < 62 million; RR = 1.00, 95% CI 0.97-1.03). When TMC was analyzed as a continuous variable, we found that lower TMC is associated with smaller intergenerational family size. For every additional child in their ancestral pedigree, we observed an increase in TMC of 1.88 million (p = 0.03). Men in the top quartile for intergenerational family size had a TMC that was 48 million higher than men in the bottom quartile (p = 0.047). CONCLUSIONS: We found an association between TMC and ancestral family size, suggesting that lower TMC is associated with smaller intergenerational family size.

Rare protein-coding variants implicate genes involved in risk of suicide death.

Identification of genetic factors leading to increased risk of suicide death is critical to combat rising suicide rates, however, only a fraction of the genetic variation influencing risk has been accounted for. To address this limitation, we conducted the first comprehensive analysis of rare genetic variation in suicide death leveraging the largest suicide death biobank, the Utah Suicide Genetic Risk Study (USGRS). We conducted a single-variant association analysis of rare (minor allele frequency <1%) putatively functional single-nucleotide polymorphisms (SNPs) present on the Illumina PsychArray genotyping array in 2,672 USGRS suicide deaths of non-Finnish European (NFE) ancestry and 51,583 NFE controls from the Genome Aggregation Database. Secondary analyses used an independent control sample of 21,324 NFE controls from the Psychiatric Genomics Consortium. Five novel, high-impact, rare SNPs were identified with significant associations with suicide death (SNAPC1, rs75418419; TNKS1BP1, rs143883793; ADGRF5, rs149197213; PER1, rs145053802; and ESS2, rs62223875). 119 suicide decedents carried these high-impact SNPs. Both PER1 and SNAPC1 have other supporting gene-level evidence of suicide risk, and psychiatric associations exist for PER1 (bipolar disorder, schizophrenia), and for TNKS1BP1 and ESS2 (schizophrenia). Three of the genes (PER1, TNKS1BP1, and ADGRF5), together with additional genes implicated by genome-wide association studies on suicidal behavior, showed significant enrichment in immune system, homeostatic and signal transduction processes. No specific diagnostic phenotypes were associated with the subset of suicide deaths with the identified rare variants. These findings suggest an important role for rare variants in suicide risk and implicate genes and gene pathways for targeted replication.

Spatial clusters of cancer incidence: analyzing 1940 census data linked to 1966-2017 cancer records.

PURPOSE: A life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED). METHODS: A cohort of 260,585 individuals aged 0-40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model. RESULTS: Cancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each. CONCLUSIONS: Early environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.

Risks of cause-specific mortality in offspring of pregnancies complicated by hypertensive disease of pregnancy.

BACKGROUND: Fetal environment has a substantial influence on an individual's health throughout their life course. Animal models of hypertensive disease of pregnancy have demonstrated adverse health outcomes among offspring exposed to hypertensive disease of pregnancy in utero. Although there are numerous descriptions of the neonatal, infant, and pediatric outcomes of human offspring affected by hypertensive disease of pregnancy, there are few data in US populations on later life outcomes, including mortality. OBJECTIVE: To assess risk for early mortality among offspring of pregnancies complicated by hypertensive disease of pregnancy. STUDY DESIGN: This is a retrospective cohort study of offspring born to women with singleton or twin pregnancies between 1947 and 1967 with birth certificate information in the Utah Population Database. We identified offspring from delivery diagnoses of gestational hypertension, preeclampsia, or eclampsia. Offspring from these pregnancies (exposed) were matched to offspring of pregnancies without hypertensive disease of pregnancy (unexposed) by maternal age at delivery, birth year, sex, and multiple gestation. We also identified unexposed siblings of exposed offspring for a separate sibling analysis. Mortality follow-up of all offspring continued through 2016, at which time they would have been 49-69 years old. Adjusted hazard ratios for cause-specific mortality comparing exposed with unexposed offspring were estimated using Cox proportional hazard models. RESULTS: We compared mortality risks for 4050 exposed offspring and 6989 matched unexposed offspring from the general population and 7496 unexposed siblings. Mortality risks due to metabolic, respiratory, digestive, nervous, and external causes of death did not differ between exposed and unexposed groups. Mortality risks from cardiovascular disease were greater in exposed offspring compared with unexposed offspring (adjusted hazard ratio, 1.57; 95% confidence interval, 1.16-2.12). In sex-specific models among the general population, cardiovascular disease mortality was significantly associated with exposure among male patients (adjusted hazard ratio, 1.92; 95% confidence interval, 1.27-2.88) but not among female patients (adjusted hazard ratio, 0.97; 95% confidence interval, 0.81-1.94). An interaction between hypertensive disease of pregnancy exposure and birth order on cardiovascular disease mortality was significant (P=.047), suggesting that the effect of hypertensive disease of pregnancy on cardiovascular disease mortality increased with higher birth order. Among siblings, the association between hypertensive disease of pregnancy exposure and cardiovascular disease mortality was not significant (adjusted hazard ratio, 1.39; 95% confidence interval, 0.99-1.95), and this was also true for sex-specific analyses of males (adjusted hazard ratio, 1.26; 95% confidence interval, 0.81-1.94) and females (adjusted hazard ratio, 1.71; 95% confidence interval, 0.96-3.04). As in the general population, there was a significant interaction between hypertensive disease of pregnancy exposure and birth order on cardiovascular disease mortality (P=.011). CONCLUSION: In a US population, overall mortality risks are greater for offspring of pregnancies complicated by hypertensive disease of pregnancy compared with unexposed offspring. Among siblings, there was not a significant association between hypertensive disease of pregnancy exposure and cardiovascular disease mortality.