Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57

Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility : a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium

Immunosuppression plays a pivotal role in assisting tumors to evade immune destruction and promoting tumor development. We hypothesized that genetic variation in the immunosuppression pathway genes may be implicated in breast cancer tumorigenesis. We included 42,510 female breast cancer cases and 40,577 controls of European ancestry from 37 studies in the Breast Cancer Association Consortium (2015) with available genotype data for 3595 single nucleotide polymorphisms (SNPs) in 133 candidate genes. Associations between genotyped SNPs and overall breast cancer risk, and secondarily according to estrogen receptor (ER) status, were assessed using multiple logistic regression models. Gene-level associations were assessed based on principal component analysis. Gene expression analyses were conducted using RNA sequencing level 3 data from The Cancer Genome Atlas for 989 breast tumor samples and 113 matched normal tissue samples. SNP rs1905339 (A > G) in the STAT3 region was associated with an increased breast cancer risk (per allele odds ratio 1.05, 95 % confidence interval 1.03-1.08; p value = 1.4 x 10(-6)). The association did not differ significantly by ER status. On the gene level, in addition to TGFBR2 and CCND1, IL5 and GM-CSF showed the strongest associations with overall breast cancer risk (p value = 1.0 x 10(-3) and 7.0 x 10(-3), respectively). Furthermore, STAT3 and IL5 but not GM-CSF were differentially expressed between breast tumor tissue and normal tissue (p value = 2.5 x 10(-3), 4.5 x 10(-4) and 0.63, respectively). Our data provide evidence that the immunosuppression pathway genes STAT3, IL5, and GM-CSF may be novel susceptibility loci for breast cancer in women of European ancestry.Peer reviewe

Global burden of 87 risk factors in 204 countries and territories, 1990�2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods: GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk�outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk�outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk�outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95 uncertainty interval UI 9·51�12·1) deaths (19·2% 16·9�21·3 of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12�9·31) deaths (15·4% 14·6�16·2 of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253�350) DALYs (11·6% 10·3�13·1 of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0�9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10�24 years, alcohol use for those aged 25�49 years, and high systolic blood pressure for those aged 50�74 years and 75 years and older. Interpretation: Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Female Hormone Therapy and Risk of Intracranial Hemorrhage From Cerebral Cavernous Malformations: A Multicenter Observational Cohort Study

BACKGROUND AND OBJECTIVES: Female hormone therapy (oral contraception in female patients of reproductive age and menopausal hormone therapy in postmenopausal patients) is not withheld from patients with cerebral cavernous malformations (CCMs), although the effects of these drugs on the risk of intracranial hemorrhage are unknown. We investigated the association between female hormone therapy and intracranial hemorrhage in female patients with CCM in 2 large prospective, multicenter, observational cohort studies. METHODS: We included consecutive patients with a CCM. We compared the association between use of female hormone therapy and the occurrence of intracranial hemorrhage due to the CCM during up to 5 years of prospective follow-up in multivariable Cox proportional hazards regression. We performed an additional systematic review through Ovid MEDLINE and Embase from inception to November 2, 2021, to identify comparative studies and assess their intracranial hemorrhage incidence rate ratio according to female hormone therapy use. RESULTS: Of 722 female patients, aged 10 years or older at time of CCM diagnosis, 137 used female hormone therapy at any point during follow-up. Female hormone therapy use (adjusted for age, mode of presentation, and CCM location) was associated with an increased risk of subsequent intracranial hemorrhage (46/137 [33.6%] vs 91/585 [15.6%] and adjusted hazard ratio 1.56, 95% CI 1.09-2.24; p = 0.015). Use of oral contraceptives in female patients aged 10-44 years adjusted for the same factors was associated with a higher risk of subsequent intracranial hemorrhage (adjusted hazard ratio 2.00, 95% CI 1.26-3.17; p = 0.003). Our systematic literature search showed no studies reporting on the effect of female hormone therapy on the risk of intracranial hemorrhage during follow-up. DISCUSSION: Female hormone therapy use is associated with a higher risk of intracranial hemorrhage from CCMs. These findings raise questions about the safety of female hormone therapy in clinical practice in patients with CCM. Further studies evaluating clinical factors raising risk of thrombosis may be useful to determine which patients may be most susceptible to intracranial hemorrhage. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that female hormone therapy use is associated with a higher risk of intracranial hemorrhage in patients with CCM

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Additional file 1: of Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study

Top interactions from W-Z discovery set interaction test compared with simple logistic linear interaction test (brute force epistasis).ย�Description: SNP1 and SNP2 are the two SNP candidates of a pair from the discovery population belonging to chromosomes denote by Chr1 and Chr2; gene1 and gene2 are the corresponding genes annotated to SNP1 and SNP2, respectively. W-Z P value is Wellek Ziegler test p-value. (DOCX 22 kb

Additional file 4: of Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study

Overlapped interactions from INTERSNP and CASSI W-Z interaction tests on discovery set. Description: SNP1 and SNP2 are the two SNP candidates of a pair from the discovery set population belonging to chromosomes denote by Chr1 and Chr2; gene1 and gene2 are the corresponding genes annotated to SNP1(s) and SNP2(s), respectively. W-Z P value is Wellek Ziegler case-control test p-value from CASSI and INTERSNP P value is full log-linear test p-value from INTERSNP; BP is base pair. IN: INTERSNP; CAS: CASSI. (DOCX 22 kb

Additional file 7: of Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study

MAGENTA gene set enrichment analysis results at 1% level of significance. (DOCX 20 kb

Additional file 6: of Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study

PASCAL gene set enrichment analysis results at 1% level of significance. (DOCX 20 kb

Additional file 10: of Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study

Summary of Illumina bead chips used for genotyping different batches of cases and controls. (DOCX 19 kb