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Prospective comparison of family medical history with personal genome screening for risk assessment of common cancers.

ABSTRACT: Family history-based risk assessment (FHRA) is a genetic tool for identifying those at risk of disease. Genome-wide association studies have shown that single nucleotide polymorphisms (SNP) are statistically associated with low- to moderate-level risks of diseases. There has been limited study of complementarity for these two assessment methods. We sought to compare cancer risk categorizations from FHRA and from Navigenics Personal Genome Screening (PGS). We compared FHRA with PGS for breast (22 females), prostate (22 males), and colon cancer (44 males and females) assessed by kappa (?) statistic. We also assessed each participant's hereditary risk based on clinical criteria and/or gene-test results. Both FHRA and PGS placed 59%, 68% and 44% of participants into the same risk categories for breast, prostate, and colon cancer, respectively. Overall, however, there was little concordance in FHRA versus PGS for all three cancer risks (?<0.2). FHRA assigned 22 with hereditary risk compared with PGS, which identified one as high risk (P<0.0001). We assessed nine with hereditary colorectal cancer risk, five with germline mutations, but none were classified as PGS high risk (P=0.0001). FHRA and PGS may be complementary tools for cancer risk assessment. However, evaluation of family history remains the standard to evaluate an individual's cancer risk until further research.

SUBMITTER: Heald B

PROVIDER: S-EPMC3330209 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

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Prospective comparison of family medical history with personal genome screening for risk assessment of common cancers.

Heald Brandie B Edelman Emily E Eng Charis C

European journal of human genetics : EJHG 20120104 5

Family history-based risk assessment (FHRA) is a genetic tool for identifying those at risk of disease. Genome-wide association studies have shown that single nucleotide polymorphisms (SNP) are statistically associated with low- to moderate-level risks of diseases. There has been limited study of complementarity for these two assessment methods. We sought to compare cancer risk categorizations from FHRA and from Navigenics Personal Genome Screening (PGS). We compared FHRA with PGS for breast (22 ...[more]

PMID: 22215421

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Project description:IntroductionThe pathogenesis and risk factors for hyperemesis gravidarum, excessive nausea and vomiting of pregnancy, are not adequately recognized. In our previous study, we found that women with a personal history of nausea in different situations and a family history of nausea and vomiting of pregnancy (NVP) were more likely to have severe NVP. The present study focuses on these themes in association with hyperemesis gravidarum in a hospital setting.Material and methodsWomen with hyperemesis gravidarum (n = 102) were recruited from among patients hospitalized due to hyperemesis gravidarum in Turku University Hospital, Finland. Our control group (Non-NVP group, n = 138) consisted of pregnant women with no NVP. Personal history of nausea in different situations was inquired about in relation to "motion sickness", "seasickness", "migraine", "other kind of headache", "after anesthesia", "during the use of contraception", and "other kinds of nausea". Relatives with NVP were divided into first-degree (mother and sisters) and second-degree (more distant) relatives.ResultsIn univariate analysis, a personal history of motion sickness, seasickness, nausea related to migraine, nausea with other headache and nausea in other situations were associated with hyperemesis gravidarum. After adjusting for age, parity, pre-pregnancy body mass index, marital status, and smoking, motion sickness (adjusted odds ratio [aOR] 5.24, 95% confidence interval [CI] 2.67-10.31, p < 0.0001), seasickness (aOR 4.82, 95% CI 2.32-10.03, p < 0.0001), nausea related to migraine (aOR 3.00, 95% CI 1.58-5.70, p < 0.001), and nausea in other situations (aOR 2.65, 95% CI 1.13-6.20, p = 0.025) remained significant. In multivariable analysis with all history of nausea variables, motion sickness (OR 2.76, 95% CI 1.29-5.89, p = 0.009) and nausea related to migraine (OR 3.10, 95% CI 1.40-6.86, p = 0.005) were associated with hyperemesis gravidarum. Having any affected relative (OR 3.51, 95%CI 1.84-6.73, p = 0.0002), especially a first-degree relative (OR 3.06, 95% CI 1.62-5.79, p = 0.0006), was also associated with hyperemesis gravidarum. Adjustment did not change the results.ConclusionsWomen with a personal history of nausea or a family history of NVP are more likely to suffer from hyperemesis gravidarum. These results are beneficial to better identify and help women at risk for hyperemesis gravidarum.

Project description:BACKGROUND:Studies have shown that the quality of family health history (FHH) collection in primary care is inadequate to assess disease risk. To use FHH for risk assessment, collected data must have adequate detail. To address this issue, we developed a patient facing FHH assessment tool, MeTree. In this paper we report the content and quality of the FHH collected using MeTree. METHODS: DESIGN:A hybrid implementation-effectiveness study. Patients were recruited from 2009 to 2012. SETTING:Two community primary care clinics in Greensboro, NC. PARTICIPANTS:All non-adopted adult English speaking patients with upcoming appointments were invited to participate. INTERVENTION:Education about and collection of FHH with entry into MeTree. MEASURES:We report the proportion of pedigrees that were high-quality. High-quality pedigrees are defined as having all the following criteria: (1) three generations of relatives, (2) relatives' lineage, (3) relatives' gender, (4) an up-to-date FHH, (5) pertinent negatives noted, (6) age of disease onset in affected relatives, and for deceased relatives, (7) the age and (8) cause of death (Prim Care31:479-495, 2004.). RESULTS:Enrollment: 1,184. Participant demographics: age range 18-92 (mean 58.8, SD 11.79), 56% male, and 75% white. The median pedigree size was 21 (range 8-71) and the FHH entered into MeTree resulted in a database of 27,406 individuals. FHHs collected by MeTree were found to be high quality in 99.8% (N = 1,182/1,184) as compared to <4% at baseline. An average of 1.9 relatives per pedigree (range 0-50, SD 4.14) had no data reported. For pedigrees where at least one relative has no data (N = 497/1,184), 4.97 relatives per pedigree (range 1-50, SD 5.44) had no data. Talking with family members before using MeTree significantly decreased the proportion of relatives with no data reported (4.98% if you talked to your relative vs. 10.85% if you did not, p-value < 0.001.). CONCLUSION:Using MeTree improves the quantity and quality of the FHH data that is collected and talking with relatives prior to the collection of FHH significantly improves the quantity and quality of the data provided. This allows more patients to be accurately risk stratified and offered appropriate preventive care guided by their risk level. TRIAL NUMBER:NCT01372553.

Dataset Information

Prospective comparison of family medical history with personal genome screening for risk assessment of common cancers.

Publications

Prospective comparison of family medical history with personal genome screening for risk assessment of common cancers.

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