FHH Quick App Review: How Can a Quality Review Process Assist Primary Care Providers in Choosing a Family Health History App for Patient Care?
GM Wood et al, Genes, August 2022
Family health history (FHH) is a data type serving risk assessment, diagnosis, research, and preventive health. Despite technological leaps in genomic variant detection, FHH remains the most accessible, least expensive, and most practical assessment tool for assessing risks attributable to genetic inheritance. The purpose of this manuscript is to outline a process to assist primary care professionals in choosing FHH digital tools for patient care based on the new ISO/TS 82304-2 Technical Specification (TS), which is a recently developed method to determine eHealth app quality.
Everyone deserves a diagnosis
The Family Heart Foundation, July 18, 2022
“Runs in the family” is not a diagnosis- Over the past 10 years, we have heard from thousands of people who have heart disease or had a stroke caused by an inherited cholesterol disorder. Unfortunately, they did not learn of their genetic condition until it was too late. The damage was done. They were told that heart disease or high cholesterol “runs in the family” but were never given the name of the genetic cause that leads to so much heartache across generations. We believe families deserve a diagnosis so they can get the care they deserve. That is why we have launched this campaign. We hope you will join us to help reach people who have never heard of FH or elevated Lipoprotein(a).
Incorporating family history of disease improves polygenic risk scores in diverse populations
MLA Hujeol et al, Cell Genomics, July 13, 2022
Polygenic risk scores (PRSs) derived from genotype data and family history (FH) of disease provide valuable information for predicting disease risk, but PRSs perform poorly when applied to diverse populations. Here, we explore methods for combining both types of information (PRS-FH) in UK Biobank data. We evaluated PRS, FH, and PRS-FH using liability-scale R2, primarily focusing on 3 well-powered diseases (type 2 diabetes, hypertension, and depression). PRS attained average prediction R2s of 5.8%, 4.0%, and 0.53% in non-British Europeans, South Asians, and Africans, confirming poor cross-population transferability. In contrast, PRS-FH attained average prediction R2s of 13%, 12%, and 10%, respectively, representing a large improvement in Europeans and an extremely large improvement in Africans. In conclusion, including family history improves the accuracy of polygenic risk scores, particularly in diverse populations.
Family history tools for primary care: A systematic review.
Miroševic Špela et al. The European journal of general practice 2022 28(1) 75-86
This review explores the FH tools currently available for PC and evaluates their clinical performance.Five databases were systematically searched until May 2021. Identified tools were evaluated on the following criteria: time-to-complete, integration with electronic health record (EMR) systems, patient administration, risk-assessment ability, evidence-based management recommendations, analytical and clinical validity and clinical utility.We identified 26?PC FH tools. Analytical and clinical validity was poorly reported and agreement between FH and gold standard was commonly inadequately reported and assessed. Sensitivity was acceptable; specificity was found in half of the reviewed tools to be poor. Most reviewed tools showed a capacity to successfully identify individuals with increased risk of disease (6.2-84.6% of high and/or moderate or increased risk individuals).Despite the potential of FH tools to improve risk stratification of patients in PC, clinical performance of current tools remains limited as well as their integration in EMR systems. Twenty-one FH tools are designed to be self-administered by patients.