Should social scientists be distanced from or engaged with the people they study?

This commentary focuses on two important contrasts in the behavioral sciences: (i) default versus nondefault study populations, where default samples have been used disproportionately (for psychology, the default is undergraduates at major research universities), and (ii) the adoption of a distant versus close (engaged) attitude toward study samples. Previous research has shown a strong correlation between these contrasts, where default samples and distant perspectives are the norm. Distancing is sometimes seen as necessary for objectivity, and an engaged orientation is sometimes criticized as biased, advocacy research, especially if the researcher shares a social group membership with the study population (e.g., a black male researcher studying black male students). The lack of diversity in study samples has been paralleled by a lack of diversity in the researchers themselves. The salience of default samples and distancing in prior research creates potential (and presumed) risk factors for engaged research with nondefault samples. However, a distant perspective poses risks as well, and particularly so for research with nondefault populations. We suggest that engaged research can usefully encourage attention to the study context and taking the perspective of study samples, both of which are good research practices. More broadly, we argue that social and educational sciences need skepticism, interestedness, and engagement, not distancing. Fostering an engaged perspective in research may also foster a more diverse population of social scientists.

Replication of long-bone length QTL in the F9-F10 LG,SM advanced intercross.

Quantitative trait locus (QTL) mapping techniques are frequently used to identify genomic regions associated with variation in phenotypes of interest. However, the F(2) intercross and congenic strain populations usually employed have limited genetic resolution resulting in relatively large confidence intervals that greatly inhibit functional confirmation of statistical results. Here we use the increased resolution of the combined F(9) and F(10) generations (n = 1455) of the LG,SM advanced intercross to fine-map previously identified QTL associated with the lengths of the humerus, ulna, femur, and tibia. We detected 81 QTL affecting long-bone lengths. Of these, 49 were previously identified in the combined F(2)-F(3) population of this intercross, while 32 represent novel contributors to trait variance. Pleiotropy analysis suggests that most QTL affect three to four long bones or serially homologous limb segments. We also identified 72 epistatic interactions involving 38 QTL and 88 novel regions. This analysis shows that using later generations of an advanced intercross greatly facilitates fine-mapping of confidence intervals, resolving three F(2)-F(3) QTL into multiple linked loci and narrowing confidence intervals of other loci, as well as allowing identification of additional QTL. Further characterization of the biological bases of these QTL will help provide a better understanding of the genetics of small variations in long-bone length.