Introduction: Mild therapeutic hypothermia (MTH) has been shown to result in better neurological outcome after cardiopulmonary resuscitation. Percutaneous coronary intervention (PCI) may also be beneficial in patients after out-of-hospital cardiac arrest (OHCA). Methods: A selected cohort study of 2,973 prospectively documented adult OHCA patients within the German Resuscitation Registry between 2004 and 2010. Data were analyzed by backwards stepwise binary logistic regression to identify the impact of MTH and PCI on both 24-hour survival and neurological outcome that was based on cerebral performance category (CPC) at hospital discharge. Odds ratios (95% confidence intervals) were calculated adjusted for the following confounding factors: age, location of cardiac arrest, presumed etiology, bystander cardiopulmonary resuscitation, witnessing, first electrocardiogram rhythm, and thrombolysis. Results: The Preclinical care dataset included 2,973 OHCA patients with 44% initial return of spontaneous circulation (n = 1,302) and 35% hospital admissions (n = 1,040). Seven hundred and eleven out of these 1,040 OHCA patients (68%) were also registered within the Postresuscitation care dataset. Checking for completeness of datasets required the exclusion of 127 Postresuscitation care cases, leaving 584 patients with complete data for final analysis. In patients without PCI (n = 430), MTH was associated with increased 24-hour survival (8.24 (4.24 to 16.0), P < 0.001) and the proportion of patients with CPC 1 or CPC 2 at hospital discharge (2.13 (1.17 to 3.90), P < 0.05) as an independent factor. In normothermic patients (n = 405), PCI was independently associated with increased 24-hour survival (4.46 (2.26 to 8.81), P < 0.001) and CPC 1 or CPC 2 (10.81 (5.86 to 19.93), P < 0.001). Additional analysis of all patients (n = 584) revealed that 24-hour survival was increased by MTH (7.50 (4.12 to 13.65), P < 0.001) and PCI (3.88 (2.11 to 7.13), P < 0.001), while the proportion of patients with CPC 1 or CPC 2 was significantly increased by PCI (5.66 (3.54 to 9.03), P < 0.001) but not by MTH (1.27 (0.79 to 2.03), P = 0.33), although an unadjusted Fisher exact test suggested a significant effect of MTH (unadjusted odds ratio 1.83 (1.23 to 2.74), P < 0.05). Conclusions: PCI may be an independent predictor for good neurological outcome (CPC 1 or CPC 2) at hospital discharge. MTH was associated with better neurological outcome, although subsequent logistic regression analysis did not show statistical significance for MTH as an independent predictor for good neurological outcome. Thus, postresuscitation care on the basis of standardized protocols including coronary intervention and hypothermia may be beneficial after successful resuscitation. One of the main limitations may be a selection bias for patients subjected to PCI and MTH.

Since their first appearance in the context of schizophrenia and bipolar disorder in 2009, polygenic risk scores (PRSs) have been described for a large number of common complex diseases. However, the clinical utility of PRSs in disease risk assessment or therapeutic decision making is likely limited because PRSs usually only account for the heritable component of a trait and ignore the etiological role of environment and lifestyle. We surveyed the current state of PRSs for various diseases, including breast cancer, diabetes, prostate cancer, coronary artery disease, and Parkinson disease, with an extra focus upon the potential improvement of clinical scores by their combination with PRSs. We observed that the diagnostic and prognostic performance of PRSs alone is consistently low, as expected. Moreover, combining a PRS with a clinical score at best led to moderate improvement of the power of either risk marker. Despite the large number of PRSs reported in the scientific literature, prospective studies of their clinical utility, particularly of the PRS-associated improvement of standard screening or therapeutic procedures, are still rare. In conclusion, the benefit to individual patients or the health care system in general of PRS-based extensions of existing diagnostic or treatment regimens is still difficult to judge.

Idiopathic Parkinson’s disease (PD) is a complex multifactorial disorder caused by the interplay of both genetic and non-genetic risk factors. Polygenic risk scores (PRSs) are one way to aggregate the effects of a large number of genetic variants upon the risk for a disease like PD in a single quantity. However, reassessment of the performance of a given PRS in independent data sets is a precondition for establishing the PRS as a valid tool to this end. We studied a previously proposed PRS for PD in a separate genetic data set, comprising 1914 PD cases and 4464 controls, and were able to replicate its ability to differentiate between cases and controls. We also assessed theoretically the prognostic value of the PD-PRS, i.e., its ability to predict the development of PD in later life for healthy individuals. As it turned out, the PD-PRS alone can be expected to perform poorly in this regard. Therefore, we conclude that the PD-PRS could serve as an important research tool, but that meaningful PRS-based prognosis of PD at an individual level is not feasible.

Longevity is a complex phenotype influenced by both environmental and genetic factors. The genetic contribution is estimated at about 25%. Despite extensive research efforts, only a few longevity genes have been validated across populations. Long-lived individuals (LLI) reach extreme ages with a relative low prevalence of chronic disability and major age-related diseases (ARDs). We tested whether the protection from ARDs in LLI can partly be attributed to genetic factors by calculating polygenic risk scores (PRSs) for seven common late-life diseases (Alzheimer’s disease (AD), atrial fibrillation (AF), coronary artery disease (CAD), colorectal cancer (CRC), ischemic stroke (ISS), Parkinson’s disease (PD) and type 2 diabetes (T2D)). The examined sample comprised 1351 German LLI (≥94 years, including 643 centenarians) and 4680 German younger controls. For all ARD-PRSs tested, the LLI had significantly lower scores than the younger control individuals (areas under the curve (AUCs): ISS = 0.59, p = 2.84 × 10⁻³⁵; AD = 0.59, p = 3.16 × 10⁻²⁵; AF = 0.57, p = 1.07 × 10⁻¹⁶; CAD = 0.56, p = 1.88 × 10⁻¹²; CRC = 0.52, p = 5.85 × 10⁻³; PD = 0.52, p = 1.91 × 10⁻³; T2D = 0.51, p = 2.61 × 10⁻³). We combined the individual ARD-PRSs into a meta-PRS (AUC = 0.64, p = 6.45 × 10⁻¹⁵). We also generated two genome-wide polygenic scores for longevity, one with and one without the TOMM40/APOE/APOC1 gene region (AUC (incl. TOMM40/APOE/APOC1) = 0.56, p = 1.45 × 10⁻⁵, seven variants; AUC (excl. TOMM40/APOE/APOC1) = 0.55, p = 9.85 × 10⁻³, 10,361 variants). Furthermore, the inclusion of nine markers from the excluded region (not in LD with each other) plus the APOE haplotype into the model raised the AUC from 0.55 to 0.61. Thus, our results highlight the importance of TOMM40/APOE/APOC1 as a longevity hub.

Pigs (Sus scrofa) were first domesticated between 8,500 and 8,000 cal BC in the Near East, from where they were subsequently brought into Europe by agriculturalists. Soon after the arrival of the first domestic pigs in northern Europe (~4500 BC), farmers are thought to have started to incorporate local wild boars into their swine herds. This husbandry strategy ultimately resulted in the domestication of European wild boars. Here, we set out to provide a more precise geographic and temporal framework of the early management of suid populations in northern Europe, drawing upon mitochondrial DNA haplotype data from 116 Neolithic Sus specimens. We developed a quantitative mathematical model tracing the haplotypes of the domestic pigs back to their most likely geographic origin. Our modelling results suggest that, between 5000 and 4000 BC, almost all matrilines in the north originated from domesticated animals from the south of central Europe. In the following period (4000–3000 BC), an estimated 78–100% of domesticates in the north were of northern matrilineal origin, largely from local wild boars. These findings point towards a dramatic change in suid management strategies taking place throughout south-central and northern Europe after 4000 BC.