364) included a plan to mitigate psychological risk to the researcher-suggesting a need f |
365) anders, with the aim of identifying novel risk variants associated with asthma susce |
366) Moreover, the risk variants underlying GWAS AD-associati |
367) r predicting both disease genes and their risk variants. |
368) se comparisons can identify the universal risk variants. |
369) associated with increasing numbers of at-risk alleles. |
370) The two APOL1 renal risk alleles (RRA) genotypes were associat |
371) om heterozygous to homozygous for disease risk alleles or non-risk alleles using a t |
372) , road test data analysis, system failure risk assessment, and safety effectiveness |
373) hat can be used to assist with diagnosis, risk assessment, and tracking of illness s |
374) insufficient knowledge about genetics and risk assessment, lack of access to genetic |
375) Animal models for risk-based decision making can increase me |
376) Animal models for risk-based decision making have been descr |
377) xplore the relationship between sleep and risk-based decision making in animals. |
378) problems but no increased eating disorder risk or reduced well-being. |
379) mans, frequently make decisions involving risk or uncertainty. |
380) effects reported i.e., protective effect, risk or without association. |
381) Low-risk patients exhibited elevated M1/M2-lik |
382) are no prognostic markers to identify at-risk patients. |
383) ial to enhance the identification of high-risk patients whilst reducing unnecessary |
384) single APOL1 RRA was associated with CKD risk (OR 4.42, 95% CI 1.49-13.15, p = 0.00 |
385) viremia was associated with increased CKD risk (OR 7.45, 95% CI 1.66-33.35, P = 0.00 |
386) in a PRS may confer similar, or even any, risk among diverse populations, we also fi |
387) re promising candidate predictors of fall risk among older adults. |
388) tanding of genetics and genomics (33.3%), risk communication (29.1%), and interventi |
389) A more integrated approach to refining risk communication strategies that result |
390) tive and related to public understanding, risk communication, and intervention devel |
391) teracting factors that causally influence risk communication, heat perception, and a |
392) 80% for both LTBI diagnosis and increased risk designations. |
393) gnatures for LTBI status and reactivation risk designations. |
394) suggests family caregivers may be a high-risk group for suicide, but the evidence h |
395) lation to what could be considered a high-risk group is limited. |
396) The net effect of Cannabis use on cancer risk is not known. |
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