Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection.

BACKGROUND: Transgenerational epigenetic risks associated with complex health outcomes, such as autism spectrum disorder (ASD), have attracted increasing attention. Transgenerational environmental risk exposures with potential for epigenetic effects can be effectively identified using space-time clustering. Specifically applied to ancestors of individuals with disease outcomes, space-time clustering characterized for vulnerable developmental stages of growth can provide a measure of relative risk for disease outcomes in descendants. OBJECTIVES: (1) Identify space-time clusters of ancestors with a descendent with a clinical ASD diagnosis and matched controls. (2) Identify developmental windows of ancestors with the highest relative risk for ASD in descendants. (3) Identify how the relative risk may vary through the maternal or paternal line. METHODS: Family pedigrees linked to residential locations of ASD cases in Utah have been used to identify space-time clusters of ancestors. Control family pedigrees of none-cases based on age and sex have been matched to cases 2:1. The data have been categorized by maternal or paternal lineage at birth, childhood, and adolescence. A total of 3957 children, both parents, and maternal and paternal grandparents were identified. Bernoulli space-time binomial relative risk (RR) scan statistic was used to identify clusters. Monte Carlo simulation was used for statistical significance testing. RESULTS: Twenty statistically significant clusters were identified. Thirteen increased RR (> 1.0) space-time clusters were identified from the maternal and paternal lines at a p-value < 0.05. The paternal grandparents carry the greatest RR (2.86-2.96) during birth and childhood in the 1950's-1960, which represent the smallest size clusters, and occur in urban areas. Additionally, seven statistically significant clusters with RR < 1 were relatively large in area, covering more rural areas of the state. CONCLUSION: This study has identified statistically significant space-time clusters during critical developmental windows that are associated with ASD risk in descendants. The geographic space and time clusters family pedigrees with over 3 + generations, which we refer to as a person's geographic legacy, is a powerful tool for studying transgenerational effects that may be epigenetic in nature. Our novel use of space-time clustering can be applied to any disease where family pedigree data is available.

Colorectal cancer in the setting of pregnancy and familial risk.

BACKGROUND AND AIMS: Women are at risk of colorectal cancer (CRC) during pregnancy but this fact is underappreciated. We performed a population-based study to evaluate the rate, predictors, and familial risk for pregnancy associated CRC in Utah. METHODS: All newly diagnosed cases of CRC between 1973 and 2014 were obtained from the Utah Cancer Registry and linked to pedigrees from the Utah Population Database. RESULTS: Of the 12,886 females diagnosed with CRC, 73 were diagnosed with CRC (0.57%) during the period of obstetric delivery/childbirth. Pregnancy associated CRC was diagnosed at a mean age of 31.9 years, and cancers were less frequently located in the proximal colon compared with women with non-pregnancy associated CRC. First-degree relatives of cases with pregnancy associated CRC had a nearly threefold higher risk of CRC (OR, 2.76; 95% CI, 1.26-6.01) compared with relatives of CRC-free individuals. CONCLUSIONS: Of women diagnosed with CRC, less than 1% were diagnosed during or soon after obstetric delivery/childbirth. Relatives of these patients have a nearly threefold greater risk of CRC than those without a family history of CRC. These results provide physicians with data to guide the care of patients and their relatives with pregnancy associated CRC.

Familial pancreatic cancer risk: a population-based study in Utah.

INTRODUCTION: Pancreas adenocarcinoma (PC) has an undefined hereditary component. We quantified the familial risk of PC among relatives of patients diagnosed with PC and stratified it based on anatomic location of PC and age and sex of the proband. METHODS: This is a retrospective, population-based, case-control study of PC diagnosed in Utah between 1980 and 2011. The Utah population database and cancer registry were used to identify index patients with PC. The risk of PC in first-degree relatives (FDRs), second-degree relatives (SDRs), and first cousins (FCs) of probands was compared with randomly selected sex- and age-matched population controls. RESULTS: A total of 4,095 patients and 40,933 controls were identified. The relative risk (RR) of PC was 1.76 (95% CI 1.35-2.29) in FDRs, 1.42 (95% CI 1.18-1.7) in SDRs and 1.08 (95% CI 0.95-1.23) in FCs of probands compared to relatives of PC-free controls. The RR were elevated in FDRs (1.96, 95% CI 1.45-2.65), SDRs (1.54, 95% CI 1.19-1.98) and FCs (1.18, 95% CI 1.0-1.64) of female probands. Among probands diagnosed as < 65 years, RR was 2.12 (95% CI 1.37-3.28) in FDRs, 1.94 (95% CI 1.44-2.62) in SDRs, and 1.28 (95% CI 1.0-1.64) in FCs. Overall, the RR for PC was elevated in FDRs regardless of the anatomic location of PC. DISCUSSION: There is an increased risk of PC in FDR and more distant relatives of patients with PC. Relatives of female patients with PC and patients diagnosed at age < 65 years are at a significantly increased risk of PC.

Clinical and Molecular Features of Post-Colonoscopy Colorectal Cancers.

BACKGROUND & AIMS: Post-colonoscopy colorectal cancers (PCCRCs) may arise from missed lesions or due to molecular features of tumors that allow them to grow rapidly. We aimed to compare clinical, pathology, and molecular features of PCCRCs (those detected within 6-60 months of colonoscopy) and detected CRCs (those detected within 6 months of a colonoscopy). METHODS: Within a population-based cross-sectional study of incident CRC cases in Utah (from 1995 through 2009), we identified PCCRCs (those cancers that developed within 5 years of a colonoscopy) and matched the patients by age, sex, and hospital site to patients with detected CRC. Archived specimens were retrieved and tested for microsatellite instability (MSI), CpG island methylation, and mutations in KRAS and BRAF. There were 2659 cases of CRC diagnosed within the study window; 6% of these (n = 159) were defined as PCCRCs; 84 of these cases had tissue available and were matched to 84 subjects with detected CRC. RESULTS: Higher proportions of PCCRCs than detected CRCs formed in the proximal colon (64% vs 44%; P = .016) and were of an early stage (86% vs 69%; P = .040). MSI was observed in 32% of PCCRCs compared with 13% of detected CRCs (P = .005). The other molecular features were found in similar proportions of PCCRCs and detected CRCs. In a multivariable logistic regression, MSI (odds ratio, 4.20; 95% CI, 1.58-11.14) was associated with PCCRC. There was no difference in 5-year survival between patients with PCCRCs vs detected CRCs. CONCLUSION: In this population-based cross-sectional study of incident CRC cases in Utah, we found PCCRCs to be more likely to arise in the proximal colon and demonstrate MSI, so PCCRCs and detected CRC appear to have different features or processes of tumorigenesis. Additional studies are needed to determine if post-colonoscopy cancers arise through a specific genetic pathway.

Cancer Risk in Families Fulfilling the Amsterdam Criteria for Lynch Syndrome.

Importance: The data describing cancer risks associated with Lynch syndrome are variable. Objectives: To quantify the prevalence of families that fulfill the Amsterdam I or II criteria for Lynch syndrome in the Utah population and investigate the risk of colonic and extracolonic cancers in family members and their relatives. Design, Setting, and Participants: In a population-based study, 202 families with Amsterdam I and II criteria­positive pedigrees in the Utah Population Database were identified. Of these, all cancer diagnoses in members of families with Amsterdam criteria and their first-degree, second-degree, and first-cousin relatives were located through linkage to the Utah Cancer Registry. The study was conducted from May 1 to June 30, 2016. Main Outcomes and Measures: Standardized morbidity ratios (SMRs) were estimated by comparing the observed rates of cancer in relatives with population-expected rates estimated internally from the Utah Population Database. Results: A total of 202 families meeting Amsterdam criteria for Lynch syndrome accounted for 2.6% of all colorectal cancers in the state; of these, 59 met both the Amsterdam I and Amsterdam II criteria. Cancers observed in significant excess in the first-degree relatives of Amsterdam criteria pedigrees included colorectal (SMR, 10.10; 95% CI, 9.43-10.81), endometrial (SMR, 5.89; 95% CI, 5.09-6.78), stomach (SMR, 2.90; 95% CI, 2.02-4.03), small intestine (SMR, 7.72; 95% CI, 5.17-11.08), prostate (SMR, 1.94; 95% CI, 1.73-2.17), kidney (SMR, 3.22; 95% CI, 2.45-4.16), urinary bladder (SMR, 1.62; 95% CI, 1.22-2.12), thyroid (SMR, 2.26; 95% CI, 1.55-3.17), and non-Hodgkin lymphoma (SMR, 2.10; 95% CI, 1.64-2.65). Risks of colorectal and endometrial cancers were also found to be elevated in second-degree (SMR, 4.31; 95% CI, 3.98-4.65 and SMR, 2.70; 95% CI, 2.30-3.14, respectively) and first-cousin (SMR, 1.85; 95% CI, 1.70-2.00 and SMR, 1.50; 95% CI, 1.29-1.73, respectively) relatives of families with Amsterdam criteria. Conclusions and Relevance: In this population-based study of cancer risk in families fulfilling the Amsterdam criteria, many of the cancers previously reported to be associated with Lynch syndrome were observed, several previously unreported cancer associations were noted, and the risk of colorectal and endometrial cancer were markedly increased in first-, second-, and even third-degree relatives of these families. This study provides clinicians with population-based, unbiased data to counsel members of families meeting the Amsterdam criteria regarding their elevated risks of cancer and the importance of cancer screening.

Historical demography and longevity genetics: Back to the future.

Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists.

Familial Risk of Biliary Tract Cancers: A Population-Based Study in Utah.

BACKGROUND AND OBJECTIVES: Biliary tract cancers (BTC) including, cholangiocarcinoma (CC) and gallbladder cancer (GBC), are rare and highly fatal malignancies. The etiology and inherited susceptibility of both malignancies are poorly understood. We quantified the risk of BTC in first-degree (FDR), second-degree (SDR), and first cousin (FC) relatives of individuals with BTC, stratified by tumor subsite. METHODS: BTC diagnosed between 1980 and 2011 were identified from the Utah Cancer Registry and linked to pedigrees from the Utah Population Database. Age- and gender-matched BTC-free controls were selected to form the comparison group for determining BTC risk in relatives using Cox regression analysis. RESULTS: Of the 1302 index patients diagnosed with BTC, 550 (42.2 %) were located in the gallbladder and 752 (57.8 %) were cholangiocarcinomas. There was no elevated risk of BTC (all subsites combined) in FDRs (HR 0.94, 95 % CI 0.29-3.0), SDRs (HR 0.25, 95 % CI 0.06-1.03), and FCs (HR 0.96, 95 % CI 0.61-1.51) of BTC cases compared to cancer-free controls. Similarly, no increased familial risk of GBC or CC was found in relatives of BTC patients stratified by tumor subsite compared to relatives of controls. CONCLUSIONS: Relatives of BTC patients are not at an increased risk of GBC or CC in a statewide population. This suggests that biliary tract cancer risk is not associated with a familial predisposition and may be mitigated more strongly by environmental modifiers.

Familial Risk in Patients With Carcinoma of Unknown Primary.

IMPORTANCE: Carcinoma of unknown primary (CUP) accounts for 3% to 5% of all cancers and is associated with poor prognosis. Familial clustering of different cancer sites with CUP is unknown and may provide information regarding etiology, as well as elevated cancer risks in relatives. OBJECTIVE: To quantify the risk of cancer by site in first- and second-degree relatives and first cousins of individuals with CUP. DESIGN, SETTING, AND PARTICIPANTS: Nested case-control study of patients who received a diagnosis of CUP between 1980 and 2010 identified from the Utah Cancer Registry. Population controls with no CUP diagnosis were sex and age matched 10:1 to patients with CUP. Data about relatives were drawn from the Utah Population Database. MAIN OUTCOMES AND MEASURES: Familial aggregation of cancer risk in relatives of cases compared with controls using Cox regression analysis. RESULTS: For the 4160 index patients (median [interquartile range] age, 72 [62-81] years; 47.6% male) who had received a diagnosis of CUP, first-degree relatives were at an elevated risk of CUP themselves (hazard ratio [HR], 1.35 [95% CI, 1.07-1.70]), as well as lung (HR, 1.37 [95% CI, 1.22-1.54]), pancreatic (HR, 1.28 [95% CI, 1.06-1.54]), myeloma (HR, 1.28 [95% CI, 1.01-1.62]), and non-Hodgkin lymphoma (HR, 1.16 [95% CI, >1.00-1.35]) cancers compared with controls without CUP. When the analysis was restricted to relatives of cancer-free controls, additional increased risks for colon (HR, 1.19 [95% CI, 1.06-1.33]) and bladder (HR, 1.18 [95% CI, >1.00-1.38]) cancers were observed. Second-degree relatives of patients with CUP were at a slight increased risk of lung (HR, 1.14 [95% CI, 1.03-1.26]), pancreatic (HR, 1.17 [95% CI, 1.01-1.37]), breast (HR, 1.09 [95% CI, 1.02-1.16]), melanoma (HR, 1.09 [95% CI, >1.00-1.19]), and ovarian (HR, 1.19 [95% CI, 1.02-1.39]) cancers. CONCLUSIONS AND RELEVANCE: Relatives of patients with CUP are at increased risk of CUP and several other malignant neoplasms, including lung, pancreatic, and colon cancer. The present data may suggest sites of origin for CUP and provide cancer risk information for relatives of patients with CUP that can lead to effective intervention. Relatives of patients with CUP should be aware of the elevated risks for lung, pancreatic, and colon cancer and encouraged to modify risk factors and adhere to site-specific population cancer screening.

Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity.

OBJECTIVES: Using publicly available, geotagged Twitter data, we created neighborhood indicators for happiness, food and physical activity for three large counties: Salt Lake, San Francisco and New York. METHODS: We utilize 2.8 million tweets collected between February-August 2015 in our analysis. Geo-coordinates of where tweets were sent allow us to spatially join them to 2010 census tract locations. We implemented quality control checks and tested associations between Twitter-derived variables and sociodemographic characteristics. RESULTS: For a random subset of tweets, manually labeled tweets and algorithm labeled tweets had excellent levels of agreement: 73% for happiness; 83% for food, and 85% for physical activity. Happy tweets, healthy food references, and physical activity references were less frequent in census tracts with greater economic disadvantage and higher proportions of racial/ethnic minorities and youths. CONCLUSIONS: Social media can be leveraged to provide greater understanding of the well-being and health behaviors of communities-information that has been previously difficult and expensive to obtain consistently across geographies. More open access neighborhood data can enable better design of programs and policies addressing social determinants of health.

Increased Risk of Colorectal Cancer Among Family Members of All Ages, Regardless of Age of Index Case at Diagnosis.

BACKGROUND & AIMS: It is not clear whether familial risk of colorectal cancer (CRC) varies with age of index CRC patients or their relatives. We quantified the risk of CRC in first-degree relatives (FDRs), second-degree relatives, and first-cousin relatives of individuals with CRC, stratified by ages and sexes of index patients and ages of relatives. METHODS: CRCs diagnosed between 1980 and 2010 were identified from the Utah Cancer Registry and linked to pedigrees from the Utah Population Database. Age- and sex-matched CRC-free individuals were selected to form the comparison group. CRC risk in relatives was determined by Cox regression analysis. RESULTS: Of 18,208 index patients diagnosed with CRC, the highest familial risk was observed in FDRs of index CRC patients who were diagnosed at an age younger than 40 years (hazard ratio [HR], 2.53; 95% confidence interval [CI], 1.7-3.79). However, familial risk was increased in FDRs even when the index case was diagnosed with cancer at an advanced age (>80 years; HR, 1.76; 95% CI, 1.59-1.94). Ages of relatives and ages of index cases of CRC each affected familial cancer risk; the highest risk was found in young relatives (<50 years) of individuals with early-onset CRC (<40 years; HR, 7.0; 95% CI, 2.86-17.09). CONCLUSIONS: All relatives of individuals with CRC are at increased risk for this cancer, regardless of the age of diagnosis of the index patient. Although risk is greatest among young relatives of early-onset CRC cases, relatives of patients diagnosed at advanced ages also have an increased risk.

Epidemiology and familial risk of synchronous and metachronous colorectal cancer: a population-based study in Utah.

BACKGROUND & AIMS: Patients diagnosed with colorectal cancer (CRC) are at risk for synchronous and metachronous lesions at the time of diagnosis or during follow-up evaluation. We performed a population-based study to evaluate the rate, predictors, and familial risk for synchronous and metachronous CRC in Utah. METHODS: All newly diagnosed cases of CRC between 1980 and 2010 were obtained from the Utah Cancer Registry and linked to pedigrees from the Utah Population Database. RESULTS: Of the 18,782 patients diagnosed with CRC, 134 were diagnosed with synchronous CRC (0.71%) and 300 were diagnosed with metachronous CRC (1.60%). The risk for synchronous CRC was significantly higher in men (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.02-2.06) and in patients aged 65 years or older (OR, 1.50; 95% CI, 1.02-2.21). Synchronous CRCs were located more often in the proximal colon (OR, 1.70; 95% CI, 1.20-2.41). First-degree relatives of cases with synchronous (OR, 1.86; 95% CI, 1.37-2.53), metachronous (OR, 2.34; 95% CI, 1.62-3.36), or solitary CRC (OR, 1.75; 95% CI, 1.63-1.88) were at increased risk for developing CRC, compared with relatives of CRC-free individuals. Four percent of first-degree relatives of patients with synchronous or metachronous cancer developed CRC at younger ages than the age recommended for initiating CRC screening (based on familial risk), and therefore would not have been screened. CONCLUSIONS: Of patients diagnosed with CRC, 2.3% are found to have synchronous lesions or develop metachronous CRC during follow-up evaluation. Relatives of these patients have a greater risk of CRC than those without a family history of CRC. These results highlight the importance of obtaining a thorough family history and adhering strictly to surveillance guidelines during management of high-risk patients.