Big genetic data and its big data protection challenges

The use of various forms of big data have revolutionised scientific research. This includes research in the field of genetics in areas ranging from medical research to anthropology. Developments in this area have inter alia been characterised by the ability to sequence genome wide sequences (GWS) cheaply, the ability to share and combine with other forms of complimentary data and ever more powerful processing techniques that have become possible given tremendous increases in computing power. Given that many if not most of these techniques will make use of personal data it is necessary to take into account data protection law. This article looks at challenges for researchers that will be presented by the EU's General Data Protection Regulation, which will be in effect from May 2018. The very nature of research with big data in general and genetic data in particular means that in many instances compliance will be onerous, whilst in others it may even be difficult to envisage how compliance may be possible. Compliance concerns include issues relating to ‘purpose limitation’, ‘data minimisation’ and ‘storage limitation’. Other requirements, including the need to facilitate data subject rights and potentially conduct a Data Protection Impact Assessment (DPIA) may provide further complications for researchers. Further critical issues to consider include the choice of legal base: whether to opt for what is often seen as the ‘default option’ (i.e. consent) or to process under the so called ‘scientific research exception’. Each presents its own challenges (including the likely need to gain ethical approval) and opportunities that will have to be considered according to the particular context in question.     

An assessment of risk factors for early death among a sample of previously incarcerated youth

Most previous research regarding early death prior to, or during, young adulthood among previously detained delinquent youth has focused predominantly on males or on their cause of death. This study extends previous research by evaluating potential factors that are associated with early death in a random sample (N?=?999) of formerly detained youthful offenders in New York stratified by gender (50% female). Existing case records were referenced with the National Death Index to determine if the formerly detained youth were deceased by the time they would have reached age 28. Regression analyses were run to determine if any of 16 sociodemographic, offense history, weapons/gang involvement, mental health, substance use, child maltreatment, child welfare, or family environmental risk factors measured in their childhood or adolescence were associated with early death. Two additional regression analyses were run to determine if those risk factors differentially impacted early death for males vs. females. Of the variables measured, however, only gender was significantly related to early death – compared to females, males were 2.3 times more likely to have prematurely died. Additionally, in the model run separately for females, being an African-American female was protective against early death. These findings are compared to findings from the existing literature.     

Simultaneous Identification of Four “Legal High” Plant Species in a Multiplex PCR High‐Resolution Melt Assay,

The international prevalence of “legal high” drugs necessitates the development of a method for their detection and identification. Herein, we describe the development and validation of a tetraplex multiplex real‐time polymerase chain reaction (PCR) assay used to simultaneously identify morning glory, jimson weed, Hawaiian woodrose, and marijuana detected by high‐resolution melt using LCGreen Plus^®. The PCR assay was evaluated based on the following: (i) specificity and selectivity—primers were tested on DNA extracted from 30 species and simulated forensic samples, (ii) sensitivity—serial dilutions of the target DNA were prepared, and (iii) reproducibility and reliability—sample replicates were tested and remelted on different days. The assay is ideal for cases in which inexpensive assays are needed to quickly detect and identify trace biological material present on drug paraphernalia that is too compromised for botanical microscopic identification and for which analysts are unfamiliar with the morphology of the emerging “legal high” species.     

Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999

At the heart of attitudinal and strategic explanations of judicialbehavior is the assumption that justices have policy preferences.In this paper we employ Markov chain Monte Carlo methods tofit a Bayesian measurement model of ideal points for all justicesserving on the U.S. Supreme Court from 1953 through 1999. Weare particularly interested in determining to what extent idealpoints of justices change throughout their tenure on the Court.This is important because judicial politics scholars oftentimesinvoke preference measures that are time invariant. To investigatepreference change, we posit a dynamic item response model thatallows ideal points to change systematically over time. Additionally,we introduce Bayesian methods for fitting multivariate dynamiclinear models to political scientists. Our results suggest thatmany justices do not have temporally constant ideal points.Moreover, our ideal point estimates outperform existing measuresand explain judicial behavior quite well across civil rights,civil liberties, economics, and federalism cases.     

Competency to be a witness: a major child forensic issue

Competency of a child witness is a changing area of case law and forensic psychiatry practice. This article summarizes the basic legal and clinical aspects of determination of competency of the child witness to testify. Guidelines for such forensic examinations are detailed. Case examples are described that highlight major clinical issues in these examinations.     

Leasehold or Freehold? Leader-Eviction Rules in the British Conservative and Labour Parties

This paper examines how leader-eviction rules affect the security of tenure of party leaders in the British Conservative and Labour parties. It sets out a framework for analysing and comparing eviction rules based on the political risks and institutional costs incurred by challengers and selectors alike in removing incumbents. Entering a contest entails mobilisation costs as challengers seek the backing of allies. Political risks are increased for the incumbent's rivals if they must stand directly against the incumbent in a contest. In contrast, rules that separate incumbent eviction and replacement enable rivals to freeride on the evicting efforts of other actors, significantly diminishing the incumbent's security of tenure. This paper looks at three systems: the Labour Party's electoral college, the Conservative Party's parliamentary ballot system and the Tories' new parliamentary mass-membership hybrid. High nomination barriers and the necessity to challenge the incumbent directly make Labour leaders secure. Eviction costs are lower in the two Conservative systems. This paper also argues that a party's eviction rules must be viewed in the context of its broader internal distribution of power: as party leaders gain more power over decision-making, raising barriers to challengers may simply encourage internal opponents to rebel or exit.