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. Author manuscript; available in PMC: 2022 Apr 19.
Published in final edited form as: Genet Med. 2021 Aug 26;23(12):2260–2269. doi: 10.1038/s41436-021-01295-7

A systematic literature review of disclosure practices and reported outcomes for medically-actionable genomic secondary findings

Julie C Sapp 1,4, Flavia M Facio 1, Diane Cooper 2, Katie L Lewis 1, Emily Modlin 1, Philip van der Wees 3,4, Leslie G Biesecker 1
PMCID: PMC9017985  NIHMSID: NIHMS1754144  PMID: 34433902

Abstract

Purpose:

Secondary findings (SF) are present in 1–4% of individuals undergoing genome/exome sequencing. A review of how SF are disclosed and what outcomes result from their receipt is urgent and timely.

Methods:

We conducted a systematic literature review of SF disclosure practices and outcomes after receipt including cascade testing, family and provider communication, and healthcare actions. Of the 1,184 non-duplicate records screened we summarize findings from 27 included research articles describing SF disclosure practices, outcomes after receipt, or both.

Results:

The included articles reported 709 unique SF index recipients/families. Referrals and/or recommendations were provided 647 SF recipients and outcome data were available for 236. At least one recommended evaluation was reported for 146 SF recipients; 16 reports of treatment or prophylactic surgery were identified. We found substantial variations in how the constructs of interest were defined and described.

Conclusion:

Variation in how SF disclosure and outcomes were described limited our ability to compare findings. We conclude the literature provided limited insight into how the ACMG guidelines have been translated into precision health outcomes for SF recipients. Robust studies of SF recipients are needed and should be prioritized for future research.

Introduction

Due to their increasing diagnostic utility and affordability, genome and exome sequencing have become widely used. An estimated 1%−4% of individuals undergoing genome or exome sequencing have a medically-actionable variant unrelated to the indication for sequencing14. The American College of Medical Genetics and Genomics (ACMG) first recommended “opportunistic screening” for medically-actionable secondary findings (SF) in 20135. Opportunistic screening is defined as analysis of acquired data unrelated to the indication of the test for the purpose of detecting unrecognized disease risk. A 2017 update of these guidelines recommends pathogenic and likely pathogenic variants in 59 genes associated with 27 genetic disorders be returned6; an additional update was recently published7. In addition to the clinical testing setting, some research initiatives (including some preceding release of the first set of ACMG guidelines), addressing ethical imperatives8 to return medically-actionable variants to their participants, base decisions on which variants to return on the ACMG guidelines2,911. ACMG™, ACMG SF™, ACMG 59™, ACMG 56™, and related words and designs incorporating ACMG™, are trademarks of the American College of Medical Genetics and Genomics and may not be used without permission.

Understanding both the implementation and the impact of the ACMG SF™ policy is an urgent priority. Numerous position statements, ethics reviews, and thought pieces have been written about opportunistic return of actionable genomic findings (including recent disagreement between the US and European contexts)9,1115. Despite this, fundamental questions such as the prevalence of disease in SF recipients and their family members and the impact of SF return on morbidity and mortality remain unanswered3. Understanding adherence to health behavior and family communication recommendations related to SF is a key to answer these questions. As large-scale precision health genomics studies become more routine, an increasing number of SF meeting ACMG criteria will be disclosed in the coming years16,17. Lessons learned from opportunistic screening for SF will provide valuable insights to guide the development of population-level genomic screening efforts. We undertook this systematic literature review to understand the state of the science surrounding disclosure practices in opportunistic screening of medically-actionable SF and outcomes associated with their receipt.

Materials and Methods

Our goal with this review was to evaluate the evidence base describing the following key elements of the implementation of the ACMG SF™ return policy: 1) SF disclosure practices, including personnel involved, recommendations communicated, and strategies employed, or 2) outcomes associated with SF receipt including psychological impact, communication, healthcare behaviors, cascade testing of relatives, and health outcomes. To do this, we analyzed reports of any of these elements at the individual SF recipient level across all included literature.

Search strategy

We conducted a systematic search for publications addressing at least one of our objectives in specific patients or research study participants per PRISMA procedures18 (Figure 1). Searches were conducted across six databases (PubMed, Web of Science, PsychINFO, CINAHL, Embase, and Scopus) and in the gray literature (academic papers, including theses and dissertations, research and committee reports, government reports, conference papers, and ongoing research, among others) from January 1, 2012 through July 31, 2020. An iterative process was used to select search terms for this review, including review of several exemplar articles and snowball techniques19. Search terms used to describe SF were combined with terms describing sequencing methodologies (e.g., exome sequencing, genome sequencing) and terms describing processes and outcomes (see Supplementary Materials and Methods for the complete search strategy employed with each database). Several gray literature sources, including Google Scholar, the New York Academy of Medicine’s grayLit.org database, and the Canadian Agency for Drugs and Technologies in Health were also searched. A broader and less specific search strategy was employed for gray literature sources however these sources either duplicated the findings of the database searches (e.g., Google Scholar) or did not yield any references that were included in the analysis and this process is thus not represented graphically.

Figure 1.

Figure 1.

Study selection process per PRISMA guidelines

The protocol for this review was not prospectively registered because the review coincided with significant updates to the PROSPERO registration process.

Article selection

Primary research articles reporting longitudinal and cross-sectional qualitative and quantitative data derived from case reports, case-control/case series, observational cohort studies, and other research modalities were included in this review. Although reporting ACMG SF™ is recommended for individuals undergoing clinical exome/genome sequencing, reports of variants meeting ACMG criteria returned to individuals from research sequencing, and clinical and research panel-based testing, were included provided the variant was germline and the other criteria in Table 1 were met to capture as much data as possible. Because SF are uncommon, articles where SF disclosure practices and/or outcomes were not a primary or major focus were included if sufficient information was provided within the main body of the article or in the supplemental material to accomplish our objectives. The criteria used to define SF for purposes of this review as outlined in Table 1. While we did not perform individual pathogenicity assessments, descriptions of reported variants were reviewed to ensure consistency with our definition.

Table 1.

Criteria used to define a reported variant as an eligible secondary finding

Variant is unrelated to indication for sequencing X
Variant interpreted and disclosed as likely pathogenic or pathogenic X
Variant present in a gene listed in ACMG guidelines corresponding with publication date (2013 or 2017)* X
a.

All three attributes were required for a reported variant to be included as a secondary finding in our review. ACMG; American College of Genetics and Genomics.

*

The 2013 guidelines; Green et al., 2013 and the 2017 guidelines; Kalia et al., 2017.

Articles were included if they described how a qualifying SF was disclosed to a specific research participant, healthy volunteer, patient, or parent of a pediatric proband, and/or if they described any actions taken by recipients of a SF and/or their relatives or any psychological reaction to receiving such a result. Articles were excluded if: 1) they were not published in English, 2) only described methods to assess pathogenicity or laboratory reporting practices associated with SF, 3) only described the incidence/prevalence of SF in a particular cohort, 4) focused primarily on the ethics or policy implications of sequencing/return of results, 5) only assessed or described hypothetical results, 5) or if disclosure or outcome data for qualifying SF were aggregated with additional genomic variants in such a way that disentangling outcomes and/or disclosure practices specific to SF was impossible.

Two authors (JCS and FMF) independently performed title and abstract screening of all non-duplicate records using the eligibility criteria described above. Records selected for full-text review were read by both authors and discrepancies regarding articles selected for final inclusion were resolved in a series of phone meetings. Excluded articles assigned were assigned to the exclusion categories shown in Figure 1. Articles assigned (either during full-text review or title/abstract screening) to the “Ethics/Commentary” and “Stakeholder Attitudes and Preferences Only” exclusion categories by one but not both of the two primary reviewers were then reviewed by a third author (EM) who resolved discrepancies.

Data Extraction and Analyses

Bibliographic information, study characteristics, and findings were extracted independently by JCS and FMF using a data extraction form in Excel. An individual receiving a SF comprised the unit of analysis for this review. Disclosure practices and/or outcomes described at the SF-recipient level were extracted along with the total number of SF recipients reported in each included article. A framework analysis approach was employed to thematically categorize and organize data across studies20. The two primary reviewers examined the complete set of included articles to create an analytical framework centered on each of the major foci of this review: SF disclosure practices and outcomes reported after SF receipt. Major themes from each topic were identified and data iteratively analyzed and integrated into the framework. FMF performed the initial coding of results pertaining to the “disclosure practices” theme and JCS performed the initial coding pertaining to the “outcomes” theme; each author manually reviewed the other’s work. Additional articles included as a result of the final updated search were analyzed using this framework. The final thematic data resulting from this process were synthesized to generate the conclusions.

Critical Appraisal

Critical appraisal of the included articles was not performed because the topics of interest for this review were rarely the primary focus of the publication. PRISMA standards recommend assessing articles for bias in individual studies and across studies. Bias is difficult to assess when articles are describing data gathered as other than the primary design of a study. We recognize that undetected biases may have been present in the articles described here. In at least two instances, information pertaining to the topics of this review was not found in the main body of the manuscript but was detailed in the supplemental material.

Results

Inclusion characteristics

Twenty-seven published articles met criteria for inclusion in this review (Table 2). The primary focus of 13 of the included articles was to systematically and specifically describe SF disclosure practices and/or outcomes in SF recipients, whereas others described these processes and/or outcomes for a broader range of genetic variants including SF (n=9). Six of the articles described SF from clinical sequencing2126 and three of these were clinical reports describing a single patient/family. The remainder described SF obtained via sequencing conducted as part of a research study (n=18) or biobank (n=4). All but eight of the articles originated in the United States. Seven articles did not report any outcome data. Four articles described panel-based sequencing efforts23,24,27,28. See Table 3 for additional characteristics of the included articles.

Table 2.

Summary of included articles and data extraction

Simplified Citation Number of SF recipients reported Disclosure practices elements reported Recommendations made Outcomes reported
Personnel Duration Tools Method Psychological Family communication Cascade testing Evaluation Surveillance HCP communication Treatment

Amendola, et al., 2015 2 2 2 2 1 1 1 1

Baldridge et al., 2017 14 14 11 12 2 2

Basel & McCarrier, 2017 1 1 1 1

Catenacci et al., 2015 3 3

Chirita-Emandi et al., 2020 1 1 1 1

Dewey et al., 2014 1 1 1 1 1

Hao et al., 2020 + + 28 6

Hart et al., 2018 66* 18 18 18 3 62* 13 1

Haukkala et al., 2013 23 23 23 23 23 17 16 11

Helm et al., 2015 1 1 0 1 1 1 1 1 1 1

Horiuchi, et al., 2020 11 11 11 11 8

Lee et al., 2015 1 1 1

Leppig et al., 2017 3 3 3 3 2 2

Lewis et al., 2016 19 19 19 19 19 19 12 15

Mackley et al., 2018 1 1 1 1 1 1

Nestor et al., 2020 2 2 2 2 2 2 1 1 2

Ormondroyd et al., 2020 4 4 4 4 4 4 4 4

Papaz et al., 2019 2 2 1 1

Pendrick et al., 2019 1 1 1 1 1 1

Rego et al., 2018 2 2 1 1 1 1 1 1

Rego et al., 2019 1 1 1 1

Sapp et al., 2018 13 13 13 13 13 13 13 11 9 7 2

Schwartz et al., 2018 515 515 515 515 515

Thompson et al., 2018 11 11 11 11 1

Westphal et al., 2019 2 2 2 1

Wynn et al., 2018 7 7 7 7

You et al., 2019 2 2

TOTAL 709 618 34 587 612 647 66 52 27 146 6 36 16
a.

Total number of SF recipients reported and number of SF recipients for whom disclosure practice and/or outcome data are available in each of the included articles.

data given but aggregated.

+

48 SF recipients reported here were previously reported in another included paper (Schwartz et al., 2018).

^

45 total relatives were reported to have undergone cascade testing.

*

Eight SF recipients reported in this paper had been previously published by Lewis et al. in 2016 (K. Lewis, personal communication). None of the previously published individuals took part in the interviews conducted by Hart et al; data from the interview portion of that publication was used to assess all outcomes reported except for the “evaluation” and “treatment” outcomes. SF; secondary finding. HCP; health care provider.

Table 3.

Demographic characteristics of included articles

Characteristic N
Study Location/Origin

United States 20
United Kingdom 2
Germany 1
Finland 1
Canada 1
Romania 1
Japan 1
Study type

Case study 6
Affected cohort 10
Longitudinal study 7
Case series 4
Setting in which sequencing was performed

Research – healthy and/or healthy and affected populations 7
Research – affected population 10
Clinical 6
Biobank 4
Article focus

SF disclosure practices and/or outcomes from SF receipt 13
Returning genomic variants (including but not limited to SF) to sequenced individuals 9
Prevalence of various genomic variants in sequenced populations 5
a.

N; number of articles. SF; secondary finding.

Records that did not meet inclusion criteria either at the title/abstract or full-text screening stages were grouped into exclusion categories. Of the 1,157 excluded records, 164 focused primarily on the attitudes, preferences, opinions, or perspectives of various stakeholders surrounding the return of genomic sequencing results and 283 were editorials, commentaries, or research studies primarily focused on the ethics and legal issues of returning genomic sequencing results.

Thematic analysis and summary data

Our analysis framework identified five major themes relating to SF disclosure practices and seven major themes related to outcomes associated with SF receipt (Table 2) in addition to cost estimates associated with SF return. A total of 709 SF index recipients/families were reported; outcomes data were only available for 33% (n=236) of them.

Nine articles reported data on more than ten SF recipients1,4,21,2934. One did not report any disclosure practice data21 and two were publications describing the same group of SF recipients, participants in a large US biobank study29,33. This pair of studies provided detailed disclosure practice data for a cohort of 515 SF recipients33; the uptake of recommended healthcare actions in the one-year period following disclosure among 48 of these individuals who had received BRCA1/2 SF were evaluated via records review29. Four articles described standardized SF disclosure to participants in research studies; two of these enrolled healthy individuals,30,32 one enrolled patients with cancer31, and the other enrolled patients affected with a variety of conditions4. One of these studies standardized the interval between disclosure and evaluation of post-disclosure outcomes (four months)4; this interval varied within the remaining studies with a range from three months to four years. One article1 described 66 SF recipients from a research sequencing consortium comprising nine different studies; neither SF disclosure nor the related outcomes studied were standardized across sites35. Most of the data reported in this article was derived from retrospective case reports submitted by the study sites although 18 SF recipients completed a follow-up interview using an interview guide harmonized with another included study4. Finally, in one article describing outcomes in 11 SF recipients, disclosures were not standardized and the extent to which management recommendations were provided to SF recipients was not clear34.

Disclosure Practices

Personnel involved in disclosure

Seventeen articles described the specific personnel involved in the disclosure of a SF to a total of 618 SF recipients4,23,25,27,3034,3643. Genetic counselors and medical geneticists were the disclosing providers in ten articles4,23,31,32,34,36,3942 and three additional articles described a team approach to disclosure which included personnel with genetics expertise25,27,38. A cardiology nurse disclosed cardiac-related SF to 23 participants in a Finnish biobank30. In one large US-based biobank, a team comprising genetics clinicians and non-clinical support staff disseminated 515 SF first to participants’ primary care providers (PCP) either via electronic health record (EHR) deposition or by telephone. Seven-to-ten days after PCPs were notified, participants were alerted that a SF had been uploaded to their EHR and following this, had their SF disclosed by a non-clinical support staff person following a result-specific telephone script33.

Disclosure session duration

Secondary findings disclosure sessions for a total of 34 SF recipients were described as taking about one hour in three articles4,32,38 with a range of 36–90 minutes.

Disclosure tools

A range of tools and materials used as part of SF disclosure were reported for 597 SF recipients across seven articles4,30,3234,38,44. Summary letters provided to participants were mentioned in all but one of these articles34. Letters that SF recipients could use to facilitate family communication were mentioned in three articles, although it is unclear if these communication aids were uniformly provided33,38,44. The large biobank study that used EHR-mediated result return described at least seven distinct communication tools ranging from patient-facing disease-specific fact sheets to specific education modules targeting providers33.

Disclosure method

Participants in a large US biobank (n=515) were reported to have received their results initially by telephone yet had the option to meet in person or by telemedicine with a genetic counselor33. A Finnish biobank followed a similar procedure for their participants; notification letters were sent to 23 individuals with cardiac-related SF and then a cardiology nurse followed up with each individual by phone30. In ten additional articles describing how SF were disclosed to 73 individuals or families, disclosures were most often made in-person during a clinic visit although several articles reported that some disclosures were made by telephone4,25,27,31,32,34,36,38,4345.

Provision of recommendations

Twenty-two articles describing SF disclosure to 646 SF recipients explicitly mentioned that SF recipients were provided with recommendations for management and/or referrals for additional care related to their SF1,4,21,22,2428,3034,3638,40,42,4446. Twelve articles described recommending that SF recipients notify their families about their results so that relatives could consider cascade testing22,24,25,27,28,3133,3638. Several single family reports described how cascade testing of relatives was facilitated by the disclosing providers or team25,27,37,45.

Outcomes

Psychological impact

The psychological impact of receiving a SF was reported in 12 articles describing a total of 66 unique SF recipients1,4,22,23,25,30,32,36,37,40,43,44. In these articles, the time from SF disclosure to assessment ranged between three months to four years. Reported emotions in these individuals included sadness, relief, empowerment, and surprise. In five articles describing psychological outcomes in 61 SF recipients, participants were specifically asked to describe feelings of regret after SF receipt and regret was only described by two participants1,4,37,43,44. In one article describing two SF recipients, a depression questionnaire (PHQ-9) and the Beck Anxiety Inventory were administered before and after SF disclosure to one participant; the difference between the scores at the two timepoints was reportedly not clinically significant36. Two other articles described studies assessing psychological impact both through questionnaires and via qualitative interviews in recipients of a variety of genomic findings which included SF as defined in this review, primary variants, and other actionable variants as defined by the study team and only aggregate results were reported in these. In one of these, most participants had positive or neutral feelings about their results32 and in the other, overall low levels of distress were observed43. One SF recipient was described as not remembering their result40.

Family communication

Nine articles described how a total of 52 SF recipients communicated their results with their relatives1,4,22,30,36,41,44. None of these included detailed information on family structure or pedigrees, limiting further analysis (e.g., what percentage of family members were notified). Two additional articles reported aggregated family communication of a variety of genomic results (including SF); in one, 93% of participants had shared their results32 and the other reported that a majority of participants communicated with family43. Of their biologic relatives, SF recipients reported communicating their results to first-degree relatives most often although several reports of notifications to more-distantly-related relatives were reported (communication with 11 siblings, 16 parents, 11 children, and seven more distant relatives was reported in the included articles). All four participants in one study described notifying their family members as a complex process due to their relatives’ personalities and the dynamics of their family44. In one instance, the index recipient of a BRCA1 SF learned that a relative had undergone clinical testing which identified the same variant, yet that relative had reportedly withheld this information from other family members to avoid causing concern22.

Cascade testing

Twelve articles described subsequent cascade testing of at least one relative of 27 index SF recipients1,21,23,27,3639,41,44. Several studies described cascade testing to determine the parent of origin of the SF21,23,37,39. A total of 16 parents, 11 siblings, 11 children, and seven second-degree relatives of SF recipients were reported as having undergone cascade testing in these articles, of these, 26 reportedly shared the SF recipient’s variant. Two articles listed one SF recipient each who had declined to pursue cascade testing of relatives facilitated by the disclosing providers27,36 and in a third, 11 of 18 SF recipients stated that none of their relatives had pursued testing to their knowledge when interviewed 6–18 months after SF disclosure1.

Disease-specific evaluations and ongoing surveillance

At least one evaluation or consultation relevant to the SF was described in 144 index recipients in 17 articles1,4,25,27,29,31,32,34,3639,41,44,46. Nine of these articles described one evaluation, test, or consultation with a specialist in just one recipient of a SF25,34,3639,41,42,46. In two articles, 16 SF recipients underwent disease-specific evaluations, consultations, or both for cardiac conditions conducted by the research group as part of the SF disclosure process32,44. Two articles described healthcare actions in the year following SF disclosure in larger cohorts of SF recipients. One article used retrospective case reporting by clinicians familiar with the healthcare actions of 66 SF recipients; 62 of these individuals had undergone at least one disease-specific evaluation1. Another article described the healthcare actions of 48 women who had received BRCA1/2 SF as part of a biobank. In the year following return of the SF, 23 had undergone either a mammogram or breast MRI and 28 had met with a genetic counselor to discuss their results29. Four articles described ongoing surveillance associated with SF receipt for a total of six individuals. One SF recipient was described as undergoing regular cardiac screenings25; the remaining SF recipients were described as receiving ongoing imaging and other surveillance for cancer21,41,46.

Provider communication

Five of the included articles described 36 SF recipients’ communication with a variety of healthcare providers1,4,25,32,43. Of the 18 participants interviewed after SF disclosure in one study, seven reported informing their primary care provider and six reported discussing their results with a specialist1. Similarly, 15 of 18 recipients of a SF had shared their results with a healthcare provider up to four years following SF disclosure in another study32; seven of 13 recipients shared their results with their primary care provider when interviewed four months after disclosure4.

Treatment and prophylaxis

Sixteen individuals were described in eight articles as having undergone either risk-reducing prophylactic surgery or treatment for a manifestation of disease detected as a result of evaluations following SF disclosure1,4,21,26,29,38,41,46. Medications were altered to avoid iatrogenic QT interval prolongation for one individual with an SCN5A variant38. One individual started HMG-CoA reductase inhibitor and a modified diet after return of an LDLR variant21. Two individuals with RET variants had thyroidectomies; one of these was described as prophylactic21 and the other was done after a thyroid ultrasound identified nodules shown to be medullary thyroid carcinoma upon biopsy26. Another individual with an SDHB variant had a hemithyroidectomy after a biopsy showed early-stage papillary thyroid cancer41. Eleven women with BRCA1/2 SF were described as having undergone mastectomies and/or oophorectomies as part of cancer treatment or as risk-reducing prophylaxis1,4,29,38,46.

Cost

Of the seven articles that described costs1,21,29,30,38,39,46 one described sequencing costs only21. Another reported a fixed cost of $92,249.31 to start and run the pilot study through which participants were sequenced38. One Canadian study reported that the average cost to return genomic findings (including primary variants) was estimated at $750 per variant when a genetic counselor communicated the variant and $560 per variant when results were made available to the referring physician39 and a Finnish study described the cost of returning heart-disease related SF to biobank participants as the “…normal outpatient clinic fee ~27 EUR30”. In one article, median estimated follow-up costs ranged from $626-$773 per variant disclosed to a total of 12 participants in a study which returned many different types of genomic variants; only one participant received a qualifying SF according to our definition46. Two articles reported costs associated with SF disclosure in a more specific way. One study calculated average costs of evaluations typically recommended for each gene-condition pair reported in their cohort and compared these calculations with observed healthcare actions for 74 SF recipients (eight of which had been previously been reported by Lewis et al., 2016) in the year immediately following disclosure. The average estimated cost of recommended care associated with SF was $421; the average observed cost was $1281. These authors also estimated an average cost in provider wages of $31 associated with return of 48 SF. Only one study compared the pre-and-post disclosure healthcare costs in a cohort of 48 recipients of BRCA1/2 SF and found that average difference in costs per patient was $2,578.00 (p = 0.76 per Wilcoxon signed-rank sum test)29.

Discussion

With this review, we synthesized and evaluated the available literature reporting how certain medically-actionable genomic SF are communicated and what outcomes are described after their receipt. The included articles described a wide spectrum of settings in which SF became available, variation in disclosure practices, and disparate descriptions and ascertainment of post-receipt outcomes. These variations limited our ability to compare findings and use these results to optimize the efficiency and effectiveness of SF return. Outcome data were available for only a third of the SF recipients reported in the included articles and our review found that the evidence regarding outcomes associated with SF disclosure is weak. Eight years after the release of the first set of ACMG guidelines, the literature provided limited insight into how these guidelines have been implemented to achieve precision healthcare outcomes for SF recipients and their families and suggests a number of areas for future research.

While almost all (646/709; 91%) of the SF recipients described were reported to have received recommendations for variant-specific medical care, the included literature provided more insight into disclosure practices than outcomes (Figure 2). Having undergone at least one SF-specific evaluation, test, or consultation was the most frequently reported outcome in the included articles. Our review identified such outcomes in only 20% (144/709) of SF recipients but it is difficult to determine if that low fraction is representative of actual absence of such evaluations, or missing data. There was also a dearth of reports indicating that SF recipients were engaged in ongoing surveillance related to their finding; only six such descriptions were present in the included literature, although again, this could be attributable to missing data.

Figure 2.

Figure 2.

Data from included studies mapped to a secondary finding (SF) disclosure and outcomes paradigm. Data available from individual SF recipients included in this review are shown proportionately mapped to an idealized paradigm of SF disclosure and post-receipt outcomes demonstrating relative paucity of outcome data compared to disclosure data.

Three of the 13 included articles that focused on SF recipients were case reports describing a single individual or family experiences25,26,37. Seven articles reported findings from studies specifically designed to systematically relate SF disclosure to outcomes such as healthcare use, cascade testing of relatives, and family communication; the 186 SF recipients described in these articles were all participants in research studies or biobanks employing sequencing to accomplish a variety of aims1,4,2932,43. None of these reported data on all seven of the outcomes we analyzed, and ascertainment methods used to report on each outcome varied among studies. In the five articles where the extent to which SF recipients underwent at least one evaluation or consultation related to their finding was assessed1,4,29,31,32, the highest adherence rate (62/66; 94%) was reported by Hart et al1. Adherence rates in the remaining four articles were 55%32 to 72%31. However, more than one test or assessment is recommended as part of the evaluation of SF recipients for a clinicomolecular diagnosis3 for nearly every disorder associated with ACMG SF™. Data on the fraction of SF recipients who received thorough evaluations for a clinicomolecular diagnosis and continued adherence to a specific surveillance regimen were largely absent from the included literature. The small number of SF recipients reported and lack of detailed data limited our ability to draw conclusions about screening recommendation adherence. The paucity of outcome data in the included literature suggests that this is important area for future research.

The included literature emphasized the experiences of SF recipients who had research sequencing over those who received SF from clinical diagnostic testing. Of the 709 SF recipients reported in the included articles, only 21 underwent clinical sequencing2126. While this might be expected given the ease of recruitment from existing studies and the fact that any individual clinical genetics practice will encounter SF in few patients, SF disclosure and outcomes may have distinct attributes in the clinical versus research settings. For example, those who receive SF in the clinical setting are likely to have a primary health condition that prompted the sequencing and may affect their perception of the relative importance of a SF in their overall health, and thus adherence to health behavior recommendations. The few articles that presented data from clinical sequencing may provide helpful insights but together only represent the experiences of a handful of the SF recipients reported here. We conclude that more data on SF from the clinical sequencing setting is urgently needed.

We applied the ACMG definition of clinical SF to our review because while they are clinical guidelines, numerous research initiatives apparently relied on this definition when returning results to their participants. However, secondary findings were defined heterogeneously across the included literature. In some articles, the terms “incidental” or “secondary” were used to describe genomic variants that were clearly associated with the sequenced individual’s presenting phenotype. For example, one study described “secondary variants” in both individuals who had reported a previous clinical diagnosis consistent with the finding and in individuals who would have met “criteria for genetic consultation and testing via standard clinical guidelines34”. Several additional studies employing tumor-normal sequencing used the terms as “incidental28,” or “secondary31” when describing germline variants conferring increased cancer risk in cohorts of individuals with cancers clearly associated with the reported variants (e.g., germline BRCA1/2 variants found in women with breast and ovarian cancer). These variants were not included in our analyses because we considered them to be primary findings from indicated testing in affected individuals and not opportunistic screening. As mentioned, many research sequencing initiatives custom-select variants to return to their participants and in many cases these comprised those recommended by the ACMG along with several others (e.g., Lewis et al., 2016, Rego et al., 2018, Wynn et al., 2018). One article investigating the impact of receiving BRCA1/2 variants in biobank participants performed specific sub-analyses on participants who had been unaware of their BRCA1/2 positive status; of the total cohort of 59 BRCA1/2 recipients reported in that article, only the 48 recipients who had been previously unaware of their status were used for that analysis29. Had these authors not reported these sub-analyses, it would have been impossible to report cost data on true SF recipients. The inconsistency in how SF were labeled and defined across the included studies was itself an unexpected and notable finding of our review as consistent and broadly-used definitions of a phenomenon are required prior to investigations into its nature. We conclude that clearer and stricter definitions of SF are needed and should be uniformly implemented in SF research to enhance generalizability of the findings.

Family communication and cascade testing of relatives has been known to be challenging in families seeking genetic testing for a primary indication4752. Family communication and cascade testing were outcomes reported in few SF recipients described in the included literature (n=52; 7% and n=27, 4%, respectively). The limited available data do not permit conclusions to be drawn regarding the extent to which the experience of SF recipients paralleled that of families seeking indicated care. A similar paucity of data regarding SF recipient communication with healthcare providers was demonstrated by our analyses. While primary care providers are reported to feel poorly equipped to incorporate genomic data into their practice53,54, the extent to which SF recipients in the reported literature perceived this is unknown.

The genomics community has engaged in a robust debate regarding the ethics implications and possible negative psychological impact of returning individual genomic findings with varying degrees of medical actionability8,10,11,15,55. While the data regarding psychological impact of SF receipt in the included articles was limited, we did not find evidence to support the hypothesis of significant psychological harm in SF recipients.

Stakeholder preferences on the return of SF and the ethics of SF was beyond the scope of our review. Sixteen times more articles were excluded for one of these two reasons than were included in our systematic analysis. A shift in focus away from some of the topics prioritized in the debate about returning genomic findings toward understanding the implementation of the ACMG guidelines is needed, especially as the guidelines will inevitably evolve.

Our review included two articles in which the cost associated with SF disclosure and medical follow-up was specifically assessed1,29. Both of these articles concluded that the financial impacts associated with SF receipt in the one-year period following SF disclosure were lower-than-estimated or insignificant. These studies may be criticized for a lack of formal cost analysis rigor. Additional investigations following large cohorts of SF recipients recruited from research studies and those who learned of their SF from clinical sequencing are needed before the financial implications of SF disclosure can be better understood and robust cost-benefit analyses can be conducted.

Limitations

The variability in reporting of disclosure practices and outcomes measures limited our ability to analyze these elements of SF return and may have contributed to gaps in our analyses. Several of the included articles were case reports/case series reporting anecdotal data and none of the included articles reported on all of the elements we set out to analyze. While we designed our search terms to be inclusive, it is possible that articles describing the constructs of interest to this review were not captured by our search. Our definition of SF was challenging to apply to articles that described SF using terminology that did not distinguish primary from secondary genomic findings or those that described many genomic findings beyond those recommended for disclosure by the ACMG as medically actionable. In some instances, we had to work with aggregated data and these factors may have also led us to exclude articles that should have been included. The ACMG guidelines were intended to be implemented in the United States and seven of the articles included in our review originated in other countries where roles of personnel involved in SF disclosure, familial and societal norms, and access to healthcare can be quite different. We did not include articles describing disclosure practices or outcomes associated with receipt of negative SF.

Clinical and Research Implications

Our review suggests some preliminary conclusions and highlights several priorities for future research (Table 4). When this was assessed, a majority of SF recipients were described as undergoing at least one indicated evaluation related to their finding. While this suggests that SF recipients may receive healthcare consistent with a precision medicine approach, data suggesting a multi-domain workup incorporating medical and family history, physical examinations, and thorough diagnostic testing to guide management are largely absent, as are investigations into, and reports of, determinants influencing this outcome. The individual, interpersonal, and systemic factors affecting outcomes associated with SF disclosure remain unknown. The experiences of SF recipients sequenced as part of research initiatives were overrepresented in our review. As sequencing becomes more widely used, understanding clinical SF disclosure practices and outcomes is an urgent priority because research participants and non-research patients may manifest important differences in how SF are received and managed. Finally, a cohesive and consistent definition of what constitutes a secondary genomic finding in the context of opportunistic screening is essential as there are clear inconsistencies and ambiguities in how SF are defined and considered.

Table 4.

Knowledge gaps and research priorities

Knowledge gap Research priority
Prevalence of features consistent with variant in SF recipients Deep phenotyping and cascade testing of SF recipients and relatives to understand rates of clinicomolecular diagnoses*
Evidence of precision medicine outcomes associated with SF receipt Coordinated and longitudinal studies of SF recipients incorporating assessments of health behaviors, family and provider communication, and the determinants of these outcomes
Clinical utility of SF receipt Measure yield in studies targeting recipients of SF from clinical and direct-to-consumer sequencing efforts
Relationship of SF disclosure practices to post-disclosure outcomes Prospective studies of SF recipients with standardized SF disclosure and outcome assessments
Cost effectiveness of opportunistic screening Comparative studies of SF recipients
a.

Knowledge gaps highlighted in this review and corresponding suggested research priorities with the potential to address them. SF; secondary finding

Supplementary Material

Supplementary (Appendix, online only material, etc.)

Acknowledgments

This study was supported by NIH grant HG200387-07. The authors are grateful to Alexandra Gomes and Elaine Sullor at George Washington University for their assistance with preliminary search strategies, M. Anna Buser and Jennifer Johnston for their critical review of this manuscript, and Darryl Leja for graphics support.

Conflict of Interest

LGB is an uncompensated member of the Illumina Medical Ethics Committee, receives in-kind research support from Merck and Novartis, and honoraria from Cold Spring Harbor Press. The remaining authors declare no potential conflict of interest.

Footnotes

Ethics Declaration

n/a

Data Availability

The submitted manuscript (including supplemental information) includes all data analyzed during this review.

References

  • 1.Hart MR, Biesecker BB, Blout CL, et al. Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and healthcare costs from a multisite study. Genet Med. 2019;21(5):1100–1110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Johnston JJ, Rubinstein WS, Facio FM, et al. Secondary variants in individuals undergoing exome sequencing: screening of 572 individuals identifies high-penetrance mutations in cancer-susceptibility genes. Am J Hum Genet. 2012;91(1):97–108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Katz AE, Nussbaum RL, Solomon BD, Rehm HL, Williams MS, Biesecker LG. Management of Secondary Genomic Findings. Am J Hum Genet. 2020;107(1):3–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sapp JC, Johnston JJ, Driscoll K, et al. Evaluation of Recipients of Positive and Negative Secondary Findings Evaluations in a Hybrid CLIA-Research Sequencing Pilot. Am J Hum Genet. 2018;103(3):358–366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Green RC, Berg JS, Grody WW, et al. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15(7):565–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kalia SS, Adelman K, Bale SJ, et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med. 2017;19(2):249–255. [DOI] [PubMed] [Google Scholar]
  • 7.Miller DT, Lee K, Chung WK, et al. ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med. 2021. [DOI] [PubMed] [Google Scholar]
  • 8.Christenhusz GM, Devriendt K, Dierickx K. To tell or not to tell? A systematic review of ethical reflections on incidental findings arising in genetics contexts. Eur J Hum Genet. 2013;21(3):248–255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Jackson L, Goldsmith L, O’Connor A, Skirton H. Incidental findings in genetic research and clinical diagnostic tests: a systematic review. Am J Med Genet A. 2012;158a(12):3159–3167. [DOI] [PubMed] [Google Scholar]
  • 10.Mackley MP, Fletcher B, Parker M, Watkins H, Ormondroyd E. Stakeholder views on secondary findings in whole-genome and whole-exome sequencing: a systematic review of quantitative and qualitative studies. Genet Med. 2017;19(3):283–293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ormond KE, O’Daniel JM, Kalia SS. Secondary findings: How did we get here, and where are we going? J Genet Couns. 2019;28(2):326–333. [DOI] [PubMed] [Google Scholar]
  • 12.Bertier G, Hétu M, Joly Y. Unsolved challenges of clinical whole-exome sequencing: a systematic literature review of end-users’ views. BMC Med Genomics. 2016;9(1):52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.de Wert G, Dondorp W, Clarke A, et al. Opportunistic genomic screening. Recommendations of the European Society of Human Genetics. Eur J Hum Genet. 2021;29(3):365–377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Delanne J, Nambot S, Chassagne A, et al. Secondary findings from whole-exome/genome sequencing evaluating stakeholder perspectives. A review of the literature. Eur J Med Genet. 2019;62(6):103529. [DOI] [PubMed] [Google Scholar]
  • 15.Salari P, Larijani B. Ethical Issues Surrounding Personalized Medicine: A Literature Review. Acta Med Iran. 2017;55(3):209–217. [PubMed] [Google Scholar]
  • 16.Denny JC, Rutter JL, Goldstein DB, et al. The “All of Us” Research Program. N Engl J Med. 2019;381(7):668–676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kaye J, Hurles M, Griffin H, et al. Managing clinically significant findings in research: the UK10K example. Eur J Hum Genet. 2014;22(9):1100–1104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Annals of Internal Medicine. 2009;151(4):264–269. [DOI] [PubMed] [Google Scholar]
  • 19.Booth A, Papaioannou D, Sutton A. Systematic approaches to a sucessful literature review. Thousand Oaks, California: SAGE publications; 2012. [Google Scholar]
  • 20.Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13:117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Baldridge D, Heeley J, Vineyard M, et al. The Exome Clinic and the role of medical genetics expertise in the interpretation of exome sequencing results. Genet Med. 2017;19(9):1040–1048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Basel D, McCarrier J. Ending a Diagnostic Odyssey: Family Education, Counseling, and Response to Eventual Diagnosis. Pediatr Clin North Am. 2017;64(1):265–272. [DOI] [PubMed] [Google Scholar]
  • 23.Catenacci DV, Amico AL, Nielsen SM, et al. Tumor genome analysis includes germline genome: are we ready for surprises? Int J Cancer. 2015;136(7):1559–1567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chirita-Emandi A, Andreescu N, Zimbru CG, et al. Challenges in reporting pathogenic/potentially pathogenic variants in 94 cancer predisposing genes - in pediatric patients screened with NGS panels. Sci Rep. 2020;10(1):223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Helm BM, Langley K, Spangler BB, Schrier Vergano SA. Military Health Care Dilemmas and Genetic Discrimination: A Family’s Experience with Whole Exome Sequencing. Narrat Inq Bioeth. 2015;5(2):179–186. [DOI] [PubMed] [Google Scholar]
  • 26.Pendrick DM, Oberg JA, Hsiao SJ, et al. Identification of a secondary RET mutation in a pediatric patient with relapsed acute myeloid leukemia leads to the diagnosis and treatment of asymptomatic metastatic medullary thyroid cancer in a parent: a case for sequencing the germline. Cold Spring Harb Mol Case Stud. 2019;5(2). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Leppig KA, Thiese HA, Carrel D, et al. Building a family network from genetic testing. Mol Genet Genomic Med. 2017;5(2):122–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.You YN, Borras E, Chang K, et al. Detection of Pathogenic Germline Variants Among Patients With Advanced Colorectal Cancer Undergoing Tumor Genomic Profiling for Precision Medicine. Dis Colon Rectum. 2019;62(4):429–437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hao J, Hassen D, Manickam K, et al. Healthcare Utilization and Costs after Receiving a Positive BRCA1/2 Result from a Genomic Screening Program. J Pers Med. 2020;10(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Haukkala A, Kujala E, Alha P, et al. The return of unexpected research results in a biobank study and referral to health care for heritable long QT syndrome. Public Health Genomics. 2013;16(5):241–250. [DOI] [PubMed] [Google Scholar]
  • 31.Horiuchi Y, Matsubayashi H, Kiyozumi Y, et al. Disclosure of secondary findings in exome sequencing of 2480 Japanese cancer patients. Hum Genet. 2020. [DOI] [PubMed] [Google Scholar]
  • 32.Lewis KL, Hooker GW, Connors PD, et al. Participant use and communication of findings from exome sequencing: a mixed-methods study. Genet Med. 2016;18(6):577–583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Schwartz MLB, McCormick CZ, Lazzeri AL, et al. A Model for Genome-First Care: Returning Secondary Genomic Findings to Participants and Their Healthcare Providers in a Large Research Cohort. Am J Hum Genet. 2018;103(3):328–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Thompson ML, Finnila CR, Bowling KM, et al. Genomic sequencing identifies secondary findings in a cohort of parent study participants. Genet Med. 2018;20(12):1635–1643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.2020. https://cser-consortium.org. Accessed January 5, 2021.
  • 36.Amendola LM, Lautenbach D, Scollon S, et al. Illustrative case studies in the return of exome and genome sequencing results. Per Med. 2015;12(3):283–295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Mackley M, McGuire K, Taylor J, Watkins H, Ormondroyd E. From Genotype to Phenotype. Circ Genom Precis Med. 2018;11(10):e002316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Nestor JG, Marasa M, Milo-Rasouly H, et al. Pilot Study of Return of Genetic Results to Patients in Adult Nephrology. Clin J Am Soc Nephrol. 2020;15(5):651–664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Papaz T, Liston E, Zahavich L, et al. Return of genetic and genomic research findings: experience of a pediatric biorepository. BMC Med Genomics. 2019;12(1):173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rego S, Dagan-Rosenfeld O, Bivona SA, Snyder MP, Ormond KE. Much ado about nothing: A qualitative study of the experiences of an average-risk population receiving results of exome sequencing. J Genet Couns. 2019;28(2):428–437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rego S, Dagan-Rosenfeld O, Zhou W, et al. High-frequency actionable pathogenic exome variants in an average-risk cohort. Cold Spring Harb Mol Case Stud. 2018;4(6). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Westphal DS, Leszinski GS, Rieger-Fackeldey E, et al. Lessons from exome sequencing in prenatally diagnosed heart defects: A basis for prenatal testing. Clin Genet. 2019;95(5):582–589. [DOI] [PubMed] [Google Scholar]
  • 43.Wynn J, Martinez J, Bulafka J, et al. Impact of Receiving Secondary Results from Genomic Research: A 12-Month Longitudinal Study. J Genet Couns. 2018;27(3):709–722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ormondroyd E, Harper AR, Thomson KL, et al. Secondary findings in inherited heart conditions: a genotype-first feasibility study to assess phenotype, behavioural and psychosocial outcomes. Eur J Hum Genet. 2020;28(11):1486–1496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Lee K, Berg JS, Milko L, et al. High Diagnostic Yield of Whole Exome Sequencing in Participants With Retinal Dystrophies in a Clinical Ophthalmology Setting. Am J Ophthalmol. 2015;160(2):354–363.e359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Dewey FE, Grove ME, Pan C, et al. Clinical interpretation and implications of whole-genome sequencing. Jama. 2014;311(10):1035–1045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Menko FH, Ter Stege JA, van der Kolk LE, et al. The uptake of presymptomatic genetic testing in hereditary breast-ovarian cancer and Lynch syndrome: a systematic review of the literature and implications for clinical practice. Fam Cancer. 2019;18(1):127–135. [DOI] [PubMed] [Google Scholar]
  • 48.Nycum G, Avard D, Knoppers BM. Factors influencing intrafamilial communication of hereditary breast and ovarian cancer genetic information. Eur J Hum Genet. 2009;17(7):872–880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Roberts MC, Dotson WD, DeVore CS, et al. Delivery Of Cascade Screening For Hereditary Conditions: A Scoping Review Of The Literature. Health Aff (Millwood). 2018;37(5):801–808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Sharaf RN, Myer P, Stave CD, Diamond LC, Ladabaum U. Uptake of genetic testing by relatives of lynch syndrome probands: a systematic review. Clin Gastroenterol Hepatol. 2013;11(9):1093–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Whyte S, Green A, McAllister M, Shipman H. Family Communication in Inherited Cardiovascular Conditions in Ireland. J Genet Couns. 2016;25(6):1317–1326. [DOI] [PubMed] [Google Scholar]
  • 52.Wiseman M, Dancyger C, Michie S. Communicating genetic risk information within families: a review. Fam Cancer. 2010;9(4):691–703. [DOI] [PubMed] [Google Scholar]
  • 53.Christensen KD, Vassy JL, Jamal L, et al. Are physicians prepared for whole genome sequencing? a qualitative analysis. Clin Genet. 2016;89(2):228–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Garrison NA, Brothers KB, Goldenberg AJ, Lynch JA. Genomic Contextualism: Shifting the Rhetoric of Genetic Exceptionalism. Am J Bioeth. 2019;19(1):51–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lohn Z, Adam S, Birch PH, Friedman JM. Incidental findings from clinical genome-wide sequencing: a review. J Genet Couns. 2014;23(4):463–473. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary (Appendix, online only material, etc.)

Data Availability Statement

The submitted manuscript (including supplemental information) includes all data analyzed during this review.

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