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Figure 1.  Study Flow Diagram
Study Flow Diagram

Families lost to follow-up (LTFU) submitted a survey for the immediately previous time point, did not submit a survey for this time point, and did not return to any subsequent time point. nGS indicates newborn genomic sequencing; ICU, intensive care unit.

aPassive withdrawal: neither parent completed a baseline survey within 2 weeks of enrollment and the family was therefore withdrawn.

bMissing: did not submit a survey for this time point but may have returned at a subsequent time point; includes LTFU.

Figure 2.  Parents’ Scores on Vulnerable Baby Scale and Edinburgh Postnatal Depression Scale (EPDS) by Study Group Over Time
Parents’ Scores on Vulnerable Baby Scale and Edinburgh Postnatal Depression Scale (EPDS) by Study Group Over Time

A, Vulnerable Baby Scale score by study group over time. Group × time interaction joint P = .25. See eTable 13 in Supplement 2 for generalized estimating equation results. Higher scores indicate greater concern or worry about a child’s vulnerability and health. Shaded areas indicate pointwise 95% CIs. B, Edinburgh Postnatal Depression Scale, anxiety subscale by study group over time. Group × time interaction joint P = .80. See eTable 19 in Supplement 2 for generalized estimating equation results. Higher numbers indicate more anxiety-related symptoms. Shaded areas indicate pointwise 95% CIs. nGS indicates newborn genomic sequencing.

Table 1.  Primary and Secondary Psychosocial Outcomes by Family Impact Domain
Primary and Secondary Psychosocial Outcomes by Family Impact Domain
Table 2.  Demographic Characteristics of Parents at Baselinea
Demographic Characteristics of Parents at Baselinea
Table 3.  Measures of Family Impact Administered After Disclosure of NBS and Family History (Control Group) or in Combination With nGS
Measures of Family Impact Administered After Disclosure of NBS and Family History (Control Group) or in Combination With nGS
Supplement 2.

eMethods.

eFigure 1. Mother-to-Infant Bonding Scale (MIBS) by Study Group Over Time

eFigure 2. Mother-to-Infant Bonding Scale (MIBS) by Monogenic Disease Risk (MDR) Group Over Time

eFigure 3. Vulnerable Baby Scale by Monogenic Disease Risk (MDR) Group Over Time

eFigure 4. Kansas Marital Satisfaction Scale (KMSS) by Study Group Over Time

eFigure 5. Kansas Marital Satisfaction Scale (KMSS) by Monogenic Disease Risk (MDR) Group Over Time

eFigure 6. Marital Conflict by Study Group Over Time

eFigure 7. Marital Conflict by Monogenic Disease Risk (MDR) Group Over Time

eFigure 8. Edinburgh Postnatal Depression Scale (EPDS) Anxiety Subscale by Monogenic Disease Risk (MDR) Group Over Time

eFigure 9. Edinburgh Postnatal Depression Scale (EPDS) by Study Group Over Time

eFigure 10. Edinburgh Postnatal Depression Scale (EPDS) by Monogenic Disease Risk (MDR) Group Over Time

eTable 1. Percent of Scores Below Cutoff for Measures at Each Time Point

eTable 2. Bonding Measured Using the Mother-to-Infant Bonding Scale (MIBS)

eTable 3. Perceived Vulnerability of Child Measured Using the Vulnerable Baby Scale (VBS)

eTable 4. Parenting Stress Measured Using the Parenting Stress Index at 10 Months Post-Disclosure

eTable 5. Parents’ Anxiety Measured Using the Edinburgh Postnatal Depression Scale (EPDS) Anxiety Subscale and Generalized Anxiety Disorder – 7 Item (GAD-7) Scale

eTable 6. Parents’ Depression Measured Using the Edinburgh Postnatal Depression Scale and Patient Health Questionnaire-9 (PHQ-9)

eTable 7. Parents’ Self-Blame for Passing Potentially Harmful Genes on to Baby

eTable 8. Marital Conflict

eTable 9. Marital Satisfaction Measured Using the Kansas Marital Satisfaction (KMSS) Scale

eTable 10. Parents’ Partner Blame for Passing Potentially Harmful Genes on to Baby

eTable 11. GEE Model for Bonding Measured Using the Mother-to-Infant Bonding Scale (MIBS)

eTable 12. GEE Model for Bonding Measured Using the Mother-to-Infant Bonding Scale (MIBS) Within the Newborn Genomic Sequencing (nGS) Group

eTable 13. GEE Model for Perceived Vulnerability Measured Using the Vulnerable Baby Scale (VBS)

eTable 14. GEE Model for Perceived Vulnerability Measured Using the Vulnerable Baby Scale (VBS) Within the Newborn Genomic Sequencing (nGS) Group

eTable 15. GEE Model for Marital Satisfaction Measured Using the Kansas Marital Satisfaction Scale (KMSS)

eTable 16. GEE Model for Marital Satisfaction Measured Using the Kansas Marital Satisfaction Scale (KMSS) Within the Newborn Genomic Sequencing (nGS) Group

eTable 17. GEE Model for Marital Conflict

eTable 18. GEE Model for Marital Conflict Within the Newborn Genomic Sequencing (nGS) Group

eTable 19. GEE Model for Parents’ Anxiety Measured Using the Edinburgh Postnatal Depression Scale (EPDS) Anxiety Subscale

eTable 20. GEE Model for Parents’ Anxiety Measured Using the Edinburgh Postnatal Depression Scale (EPDS) Anxiety Subscale Within the Newborn Genomic Sequencing (nGS) Group

eTable 21. GEE Model for Parents’ Depression Measured Using the Edinburgh Postnatal Depression Scale (EPDS)

eTable 22. GEE Model for Parents’ Depression Measured Using the Edinburgh Postnatal Depression Scale (EPDS) Within the Newborn Genomic Sequencing (nGS) Group

1.
Krier  JB, Kalia  SS, Green  RC.  Genomic sequencing in clinical practice: applications, challenges, and opportunities.   Dialogues Clin Neurosci. 2016;18(3):299-312. doi:10.31887/DCNS.2016.18.3/jkrier PubMedGoogle Scholar
2.
Biesecker  LG, Green  RC.  Diagnostic clinical genome and exome sequencing.   N Engl J Med. 2014;370(25):2418-2425. doi:10.1056/NEJMra1312543 PubMedGoogle ScholarCrossref
3.
Jamuar  SS, Tan  EC.  Clinical application of next-generation sequencing for Mendelian diseases.   Hum Genomics. 2015;9:10. doi:10.1186/s40246-015-0031-5 PubMedGoogle ScholarCrossref
4.
Nakagawa  H, Wardell  CP, Furuta  M, Taniguchi  H, Fujimoto  A.  Cancer whole-genome sequencing: present and future.   Oncogene. 2015;34(49):5943-5950. doi:10.1038/onc.2015.90 PubMedGoogle ScholarCrossref
5.
Vassy  JL, Christensen  KD, Schonman  EF,  et al; MedSeq Project.  The impact of whole-genome sequencing on the primary care and outcomes of healthy adult patients: a pilot randomized trial.   Ann Intern Med. 2017;167(3):159-169. doi:10.7326/M17-0188 PubMedGoogle ScholarCrossref
6.
Cheifet  B.  Where is genomics going next?   Genome Biol. 2019;20(1):17. doi:10.1186/s13059-019-1626-2 PubMedGoogle ScholarCrossref
7.
Juengst  E, McGowan  ML, Fishman  JR, Settersten  RA  Jr.  From “personalized” to “precision” medicine: the ethical and social implications of rhetorical reform in genomic medicine.   Hastings Cent Rep. 2016;46(5):21-33. doi:10.1002/hast.614 PubMedGoogle ScholarCrossref
8.
Murray  MF.  The path to routine genomic screening in health care.   Ann Intern Med. 2018;169(6):407-408. doi:10.7326/M18-1722 PubMedGoogle ScholarCrossref
9.
The President’s Council on Bioethics. The changing moral focus of newborn screening: an ethical analysis by the President’s Council on Bioethics. 2008. Accessed October 23, 2020. https://bioethicsarchive.georgetown.edu/pcbe/reports/newborn_screening/chapter3.html
10.
Tarini  BA, Goldenberg  AJ.  Ethical issues with newborn screening in the genomics era.   Annu Rev Genomics Hum Genet. 2012;13:381-393. doi:10.1146/annurev-genom-090711-163741 PubMedGoogle ScholarCrossref
11.
Wojcik  MH, Zhang  T, Ceyhan-Birsoy  O,  et al; BabySeq Project Team.  Discordant results between conventional newborn screening and genomic sequencing in the BabySeq Project.   Genet Med. 2021. doi:10.1038/s41436-021-01146-5 PubMedGoogle Scholar
12.
Johnston  J, Lantos  JD, Goldenberg  A, Chen  F, Parens  E, Koenig  BA; Members of the NSIGHT Ethics and Policy Advisory Board.  Sequencing newborns: a call for nuanced use of genomic technologies.   Hastings Cent Rep. 2018;48(suppl 2):S2-S6. doi:10.1002/hast.874 PubMedGoogle ScholarCrossref
13.
Frankel  LA, Pereira  S, McGuire  AL.  Potential psychosocial risks of sequencing newborns.   Pediatrics. 2016;137(suppl 1):S24-S29. doi:10.1542/peds.2015-3731F PubMedGoogle ScholarCrossref
14.
Committee on Bioethics.  Ethical issues with genetic testing in pediatrics.   Pediatrics. 2001;107(6):1451-1455. doi:10.1542/peds.107.6.1451 PubMedGoogle ScholarCrossref
15.
Botkin  JR, Belmont  JW, Berg  JS,  et al.  Points to consider: ethical, legal, and psychosocial implications of genetic testing in children and adolescents.   Am J Hum Genet. 2015;97(1):6-21. doi:10.1016/j.ajhg.2015.05.022 PubMedGoogle ScholarCrossref
16.
European Society of Human Genetics.  Genetic testing in asymptomatic minors: recommendations of the European Society of Human Genetics.   Eur J Hum Genet. 2009;17(6):720-721. doi:10.1038/ejhg.2009.26 PubMedGoogle ScholarCrossref
17.
American Medical Association. Genetic testing of children. Accessed June 30, 2020. https://www.ama-assn.org/delivering-care/ethics/genetic-testing-children
18.
Meiser  B.  Psychological impact of genetic testing for cancer susceptibility: an update of the literature.   Psychooncology. 2005;14(12):1060-1074. doi:10.1002/pon.933 PubMedGoogle ScholarCrossref
19.
Heshka  JT, Palleschi  C, Howley  H, Wilson  B, Wells  PS.  A systematic review of perceived risks, psychological and behavioral impacts of genetic testing.   Genet Med. 2008;10(1):19-32. doi:10.1097/GIM.0b013e31815f524f PubMedGoogle ScholarCrossref
20.
Green  RC, Roberts  JS, Cupples  LA,  et al; REVEAL Study Group.  Disclosure of APOE genotype for risk of Alzheimer’s disease.   N Engl J Med. 2009;361(3):245-254. doi:10.1056/NEJMoa0809578 PubMedGoogle ScholarCrossref
21.
Bloss  CS, Schork  NJ, Topol  EJ.  Effect of direct-to-consumer genomewide profiling to assess disease risk.   N Engl J Med. 2011;364(6):524-534. doi:10.1056/NEJMoa1011893 PubMedGoogle ScholarCrossref
22.
Wade  CH.  What is the psychosocial impact of providing genetic and genomic health information to individuals? an overview of systematic reviews.   Hastings Cent Rep. 2019;49(suppl 1):S88-S96. doi:10.1002/hast.1021 PubMedGoogle ScholarCrossref
23.
Waisbren  SE, Albers  S, Amato  S,  et al.  Effect of expanded newborn screening for biochemical genetic disorders on child outcomes and parental stress.   JAMA. 2003;290(19):2564-2572. doi:10.1001/jama.290.19.2564 PubMedGoogle ScholarCrossref
24.
Hewlett  J, Waisbren  SE.  A review of the psychosocial effects of false-positive results on parents and current communication practices in newborn screening.   J Inherit Metab Dis. 2006;29(5):677-682. doi:10.1007/s10545-006-0381-1 PubMedGoogle ScholarCrossref
25.
Gurian  EA, Kinnamon  DD, Henry  JJ, Waisbren  SE.  Expanded newborn screening for biochemical disorders: the effect of a false-positive result.   Pediatrics. 2006;117(6):1915-1921. doi:10.1542/peds.2005-2294 PubMedGoogle ScholarCrossref
26.
Tluczek  A, Orland  KM, Cavanagh  L.  Psychosocial consequences of false-positive newborn screens for cystic fibrosis.   Qual Health Res. 2011;21(2):174-186. doi:10.1177/1049732310382919 PubMedGoogle ScholarCrossref
27.
Ahmad  NY, Farrell  MH.  Linguistic markers of emotion in mothers of sickle cell carrier infants: what are they and what do they mean?   Patient Educ Couns. 2014;94(1):128-133. doi:10.1016/j.pec.2013.09.021 PubMedGoogle ScholarCrossref
28.
James  CA, Hadley  DW, Holtzman  NA, Winkelstein  JA.  How does the mode of inheritance of a genetic condition influence families? a study of guilt, blame, stigma, and understanding of inheritance and reproductive risks in families with X-linked and autosomal recessive diseases.   Genet Med. 2006;8(4):234-242. doi:10.1097/01.gim.0000215177.28010.6e PubMedGoogle ScholarCrossref
29.
Reiff  M, Giarelli  E, Bernhardt  BA,  et al.  Parents’ perceptions of the usefulness of chromosomal microarray analysis for children with autism spectrum disorders.   J Autism Dev Disord. 2015;45(10):3262-3275. doi:10.1007/s10803-015-2489-3 PubMedGoogle ScholarCrossref
30.
Clarke  A.  Anticipated stigma and blameless guilt: mothers’ evaluation of life with the sex-linked disorder, hypohidrotic ectodermal dysplasia (XHED).   Soc Sci Med. 2016;158:141-148. doi:10.1016/j.socscimed.2016.04.027 PubMedGoogle ScholarCrossref
31.
Bowen  M.  The use of family theory in clinical practice.   Compr Psychiatry. 1966;7(5):345-374. doi:10.1016/S0010-440X(66)80065-2 PubMedGoogle ScholarCrossref
32.
Broderick  CB.  Understanding Family Process: Basics of Family Systems Theory. Sage Publications; 1993.
33.
Kerruish  NJ.  Parents’ experiences of newborn screening for genetic susceptibility to type 1 diabetes.   J Med Ethics. 2011;37(6):348-353. doi:10.1136/jme.2010.039206 PubMedGoogle ScholarCrossref
34.
Wakefield  CE, Hanlon  LV, Tucker  KM,  et al.  The psychological impact of genetic information on children: a systematic review.   Genet Med. 2016;18(8):755-762. doi:10.1038/gim.2015.181 PubMedGoogle ScholarCrossref
35.
Tluczek  A, Clark  R, McKechnie  AC, Brown  RL.  Factors affecting parent-child relationships one year after positive newborn screening for cystic fibrosis or congenital hypothyroidism.   J Dev Behav Pediatr. 2015;36(1):24-34. doi:10.1097/DBP.0000000000000112 PubMedGoogle ScholarCrossref
36.
O’Connor  K, Jukes  T, Goobie  S,  et al.  Psychosocial impact on mothers receiving expanded newborn screening results.   Eur J Hum Genet. 2018;26(4):477-484. doi:10.1038/s41431-017-0069-z PubMedGoogle ScholarCrossref
37.
Aas  KK, Tambs  K, Kise  MS, Magnus  P, Rønningen  KS.  Genetic testing of newborns for type 1 diabetes susceptibility: a prospective cohort study on effects on maternal mental health.   BMC Med Genet. 2010;11:112. doi:10.1186/1471-2350-11-112 PubMedGoogle ScholarCrossref
38.
Holm  IA, Agrawal  PB, Ceyhan-Birsoy  O,  et al; BabySeq Project Team.  The BabySeq project: implementing genomic sequencing in newborns.   BMC Pediatr. 2018;18(1):225. doi:10.1186/s12887-018-1200-1 PubMedGoogle ScholarCrossref
39.
Ceyhan-Birsoy  O, Murry  JB, Machini  K,  et al; BabySeq Project Team.  Interpretation of genomic sequencing results in healthy and ill newborns: results from the BabySeq Project.   Am J Hum Genet. 2019;104(1):76-93. doi:10.1016/j.ajhg.2018.11.016 PubMedGoogle ScholarCrossref
40.
Ceyhan-Birsoy  O, Machini  K, Lebo  MS,  et al.  A curated gene list for reporting results of newborn genomic sequencing.   Genet Med. 2017;19(7):809-818. doi:10.1038/gim.2016.193 PubMedGoogle ScholarCrossref
41.
Holm  IA, McGuire  A, Pereira  S, Rehm  H, Green  RC, Beggs  AH; BabySeq Project Team.  Returning a genomic result for an adult-onset condition to the parents of a newborn: insights from the BabySeq Project.   Pediatrics. 2019;143(suppl 1):S37-S43. doi:10.1542/peds.2018-1099H PubMedGoogle ScholarCrossref
42.
Taylor  A, Atkins  R, Kumar  R, Adams  D, Glover  V.  A new Mother-to-Infant Bonding Scale: links with early maternal mood.   Arch Womens Ment Health. 2005;8(1):45-51. doi:10.1007/s00737-005-0074-z PubMedGoogle ScholarCrossref
43.
Kerruish  NJ, Settle  K, Campbell-Stokes  P, Taylor  BJ.  Vulnerable Baby Scale: development and piloting of a questionnaire to measure maternal perceptions of their baby’s vulnerability.   J Paediatr Child Health. 2005;41(8):419-423. doi:10.1111/j.1440-1754.2005.00658.x PubMedGoogle ScholarCrossref
44.
Abidin  RR. Parenting Stress Index. 4th ed. Psychological Assessment Resources; 2012.
45.
Schumm  WR, Paff-Bergen  LA, Hatch  RC,  et al.  Concurrent and discriminant validity of the Kansas Marital Satisfaction Scale.   J Marriage Fam. 1986;48(2):381-387. doi:10.2307/352405 Google ScholarCrossref
46.
Cox  JL, Holden  JM, Sagovsky  R.  Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale.   Br J Psychiatry. 1987;150:782-786. doi:10.1192/bjp.150.6.782 PubMedGoogle ScholarCrossref
47.
Spitzer  RL, Kroenke  K, Williams  JBW, Löwe  B.  A brief measure for assessing generalized anxiety disorder: the GAD-7.   Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092 PubMedGoogle ScholarCrossref
48.
Kroenke  K, Spitzer  RL, Williams  JBW.  The PHQ-9: validity of a brief depression severity measure.   J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x PubMedGoogle ScholarCrossref
49.
Kitamura  T, Takegata  M, Haruna  M,  et al.  The Mother-Infant Bonding Scale: factor structure and psychosocial correlates of parental bonding disorders in Japan.   J Child Fam Stud. 2015;24(2):393-401. doi:10.1007/s10826-013-9849-4 Google ScholarCrossref
50.
Rothman  KJ.  No adjustments are needed for multiple comparisons.   Epidemiology. 1990;1(1):43-46. doi:10.1097/00001648-199001000-00010 PubMedGoogle ScholarCrossref
51.
Engels  JM, Diehr  P.  Imputation of missing longitudinal data: a comparison of methods.   J Clin Epidemiol. 2003;56(10):968-976. doi:10.1016/S0895-4356(03)00170-7 PubMedGoogle ScholarCrossref
52.
Genetti  CA, Schwartz  TS, Robinson  JO,  et al; BabySeq Project Team.  Parental interest in genomic sequencing of newborns: enrollment experience from the BabySeq Project.   Genet Med. 2019;21(3):622-630. doi:10.1038/s41436-018-0105-6 PubMedGoogle ScholarCrossref
Original Investigation
August 23, 2021

Psychosocial Effect of Newborn Genomic Sequencing on Families in the BabySeq Project: A Randomized Clinical Trial

Author Affiliations
  • 1Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas
  • 2Department of Psychological, Health, and Learning Sciences, University of Houston, Houston, Texas
  • 3Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
  • 4Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
  • 5Broad Institute of MIT and Harvard, Cambridge, Massachusetts
  • 6Division of Genetics and Genomics, Boston Children’s Hospital, Boston, Massachusetts
  • 7The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
  • 8Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
  • 9Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
  • 10Department of Pediatrics, Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts
  • 11Precision Population Health Initiative, Ariadne Labs, Boston, Massachusetts
  • 12Harvard Medical School, Boston, Massachusetts
JAMA Pediatr. 2021;175(11):1132-1141. doi:10.1001/jamapediatrics.2021.2829
Key Points

Question  What is the psychosocial effect of newborn genomic sequencing results on families?

Findings  In this randomized clinical trial that included 325 families, scores on measures of psychosocial impact in 3 family domains—parent-child relationship, parents’ psychological distress, and parents’ relationship—did not show sustained statistical differences between study groups over time.

Meaning  This study found no evidence that returning newborn genomic sequencing information has an unfavorable psychosocial effect on families.

Abstract

Importance  Newborn genomic sequencing (nGS) may provide health benefits throughout the life span, but there are concerns that it could also have an unfavorable (ie, negative) psychosocial effect on families.

Objective  To assess the psychosocial effect of nGS on families from the BabySeq Project, a randomized clinical trial evaluating the effect of nGS on the clinical care of newborns from well-baby nurseries and intensive care units.

Design, Setting, and Participants  In this randomized clinical trial conducted from May 14, 2015, to May 21, 2019, at well-baby nurseries and intensive care units at 3 Boston, Massachusetts, area hospitals, 519 parents of 325 infants completed surveys at enrollment, immediately after disclosure of nGS results, and 3 and 10 months after results disclosure. Statistical analysis was performed on a per-protocol basis from January 16, 2019, to December 1, 2019.

Intervention  Newborns were randomized to receive either standard newborn screening and a family history report (control group) or the same plus an nGS report of childhood-onset conditions and highly actionable adult-onset conditions (nGS group).

Main Outcomes and Measures  Mean responses were compared between groups and, within the nGS group, between parents of children who received a monogenic disease risk finding and those who did not in 3 domains of psychosocial impact: parent-child relationship (Mother-to-Infant Bonding Scale), parents’ relationship (Kansas Marital Satisfaction Scale), and parents’ psychological distress (Edinburgh Postnatal Depression Scale anxiety subscale).

Results  A total of 519 parents (275 women [53.0%]; mean [SD] age, 35.1 [4.5] years) were included in this study. Although mean scores differed for some outcomes at singular time points, generalized estimating equations models did not show meaningful differences in parent-child relationship (between-group difference in adjusted mean [SE] Mother-to-Infant Bonding Scale scores: postdisclosure, 0.04 [0.15]; 3 months, –0.18 [0.18]; 10 months, –0.07 [0.20]; joint P = .57) or parents’ psychological distress (between-group ratio of adjusted mean [SE] Edinburgh Postnatal Depression Scale anxiety subscale scores: postdisclosure, 1.04 [0.08]; 3 months, 1.07 [0.11]; joint P = .80) response patterns between study groups over time for any measures analyzed in these 2 domains. Response patterns on one parents’ relationship measure differed between groups over time (between-group difference in adjusted mean [SE] Kansas Marital Satisfaction Scale scores: postdisclosure, –0.19 [0.07]; 3 months, –0.04 [0.07]; and 10 months, –0.01 [0.08]; joint P = .02), but the effect decreased over time and no difference was observed on the conflict measure responses over time. We found no evidence of persistent negative psychosocial effect in any domain.

Conclusions and Relevance  In this randomized clinical trial of nGS, there was no persistent negative psychosocial effect on families among those who received nGS nor among those who received a monogenic disease risk finding for their infant.

Trial Registration  ClinicalTrials.gov Identifier: NCT02422511

Introduction

Advances in genomic sequencing technologies and interpretation alongside decreased costs have made genomic sequencing increasingly accessible. In clinical settings, genomic sequencing is currently used most often to diagnose and inform clinical management of rare disorders and cancer,1-4 but wider clinical application is anticipated in the near future.5-8 For example, some have suggested that newborn genomic sequencing (nGS) may eventually complement existing state-run newborn screening (NBS) programs.9-11 Application of nGS as a screening modality has the potential to provide health benefits throughout life by facilitating diagnoses at birth, identifying risk for future disease that could be prevented or mitigated, and serving as a resource for future health questions and family planning. Questions remain, however, about whether nGS could have a negative psychosocial effect on families.12,13 Professional guidelines underscore these concerns.14-17

Previous studies of the psychosocial effect of genetic or genomic testing results for adult patients generally found no evidence of harm.18-22 Receiving genetic testing results about one’s child, however, may have a different effect and thus warrants investigation. Evidence from studies of parents’ psychosocial response to expanded NBS results, for example, suggests that some parents experience psychological distress after receiving either true-positive or false-positive results from NBS23-27 or guilt and blame in response to learning their child’s genetic information.28-30

Furthermore, disclosing nGS information to parents may have broad impacts beyond parents’ psychological well-being. Health information can disrupt family systems,31 and disruptions in any family system may exacerbate issues across family domains.32 However, there is a dearth of evidence on the impact across such domains of learning genetic information. Although some studies have assessed the effect of expanded NBS on the parent-child relationship, they have yielded mixed findings.23,33-37 Similarly, although there is little evidence on how parents’ relationships may be impacted by their child’s NBS or genetic results, some unfavorable (ie, negative) impacts have been documented.28,36 Assessment across multiple domains of family impact is therefore crucial for a more complete understanding of the effect of nGS on families.

Herein we report on the psychosocial effect of returning nGS findings for more than 1000 childhood-onset and highly actionable adult-onset conditions across 3 family domains to parents of newborns enrolled in the BabySeq Project, a randomized clinical trial of nGS in newborns from both well-baby nurseries and intensive care units (ICUs).38

Methods
Trial Design and Participants

The study methods have been described in detail elsewhere.38 In brief, we enrolled newborns up to 42 days of age and their English-speaking parents from well-baby nurseries and ICUs at Boston Children’s Hospital, Brigham and Women’s Hospital, and Massachusetts General Hospital in Boston, Massachusetts, from May 14, 2015, to May 21, 2019. Recruitment for this randomized clinical trial ended at a predetermined date to allow time for follow-up. Before randomization, DNA was collected from all newborns and their parents. We randomized newborns with simple 1:1 allocation using computer-generated randomization to receive either a family history assessment and review of standard NBS results (control group) or the same plus exome sequencing (nGS group). The nGS results reported to families in the nGS group included dominant or biallelic recessive variants in a single gene known to significantly increase the risk of developing a condition, referred to here as monogenic disease risk (MDR); recessive carrier variants; and select pharmacogenomic variants associated with medications used in pediatrics.39 If an MDR variant was detected in the newborn, parental DNA was genotyped to determine if the variant was de novo or inherited; these results were included in the nGS report. Parents’ DNA was not genotyped when carrier status or pharmacogenomic variants were found in the infant. Results for more than 1000 conditions that could present and/or for which surveillance was recommended before 18 years of age were reported.40 Later, variants associated with a limited number of highly actionable adult-onset conditions were reported.41 Parents enrolled before the protocol change were offered the additional information and were reconsented if interested. Only 1 family (2 parents) completed surveys after receiving an nGS result for an adult-onset condition. Results for both groups were disclosed to parents at an in-person visit by a study genetic counselor and physician, sent to the infant’s clinician(s), and entered into the infant’s medical record. The Partners (now Mass General Brigham) Human Research Committee, the Boston Children’s Hospital institutional review board, and the Baylor College of Medicine institutional review board approved this study. All participating parents provided written informed consent. Details of the trial protocol are available in Supplement 1). This study followed the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline.

We assessed outcomes using web-based longitudinal surveys. Hyperlinks to the surveys were emailed to both parents at 4 time points: enrollment, immediately after results disclosure, and 3 and 10 months after results disclosure. At least 1 parent from each family was required to complete a baseline survey before the family was considered fully enrolled and randomized.38 Otherwise, participants could skip surveys or individual questions. Both parents received all outcome measures. Follow-up was completed in May 2019.

Survey Measures

Primary and secondary outcomes and associated measures used to assess the 3 domains of family impact are shown in Table 1.42-49 We explored both the impact of receiving genomic results, and, within the nGS group, the impact of receiving an MDR finding.

Outcome measures were chosen based on psychometric properties according to the age of the infant at the time of survey administration (Table 142-49). Accordingly, some outcomes were measured with different instruments over time. All published measures were used without modification except for the Vulnerable Baby Scale43 and the Kansas Marital Satisfaction Scale,45 which were shortened at some points to reduce survey burden (eMethods in Supplement 2). Novel items were used to assess relationship conflict, partner blame, and self-blame (eMethods in Supplement 2). Participants’ self-reported age, educational level, income, race, and ethnicity were collected at study enrollment to characterize the sociodemographic makeup of the sample.

Statistical Analysis

Statistical analysis was performed on a per-protocol basis from January 16, 2019, to December 1, 2019. We tested for an effect of nGS results and receipt of an MDR finding within the nGS group on each outcome. For outcomes with a clinically relevant cutoff score, we compared the proportion of parents below the cutoff in each study group. For constructs that were measured using more than one instrument, we analyzed each scale separately. Data from both parents were included in the analyses because there was weak or no correlation of partner scores within families (absolute value of Pearson r < 0.145 for all scales at all time points). To compare performance of investigator-abbreviated versions with full scales, we calculated the Pearson correlation coefficient between individual scores on each scale at the time the full scale was administered, which was 0.855 for the Vulnerable Baby Scale at postdisclosure and 0.961 for the modified Kansas Marital Satisfaction Scale at 3 months.

For each measure, we tested for differences in mean responses by study group and by MDR status group at each time point using 2-sided t tests with α = .05. Nonparametric analyses were also conducted (eMethods in Supplement 2). We initially designed the protocol using a noninferiority framework, but given the evidence that information such as nGS can disrupt family systems,23,28,31-33,35,36 we concluded that our scientific aims would be best served by the use of nonequivalence comparisons. We did not adjust for multiple comparisons in order to maximize power to detect possible harms.50

For each measure that was administered at 3 or more time points, we used repeated-measures analysis of longitudinal data within individuals. We used a generalized estimating equations approach to test for differences in population-averaged responses between groups or MDR groups and control for cohort (well-baby nursery vs ICU). We developed 2 models for each selected outcome: a primary model for all parents and an nGS-specific model for parents in the nGS group only to examine the impact of disclosing MDRs. The primary model included main effects for randomization group, cohort and time point (categorical variable with baseline or earliest time point that an instrument was administered as the reference category), and interactions of group with cohort and group with time. The nGS-specific model included main effects for cohort, time point, and MDR status (present or not) and an interaction term for cohort with MDR status and MDR status with time. Three-way interactions between group or MDR status (within the nGS group), cohort, and time were not statistically significant (P > .10 on triple interaction term in all models) and were omitted from final models.

To test whether the pattern of responses differed by study group or MDR status over time, we performed a joint contrast test of marginal linear predictions of the set of interaction terms of study group with time and MDR status with time. The threshold for statistical significance was α = .05. We plotted model-predicted population mean outcome scores to illustrate response patterns. Mean imputation was used for missing data with a 75% rule for completion.51 Data analysis was performed using Stata/IC, version 15.1 (StataCorp LLC).

Results
Participant Characteristics and Genomic Findings

Figure 1 depicts numbers of families at each study step, beginning with recruitment. Of the 5002 families we approached, 510 (10.2%) agreed to hear about the study. Of those 510 families, 351 (68.8%) completed the consent process. We found no characteristics independently associated with consent, as previously reported.52 Of the 351 families that consented, at least 1 parent of 325 families responded to the baseline survey and thus were fully enrolled and randomized, for a total of 519 individual parents with a mean (SD) age of 35.1 (4.5) years (275 women [53.0%]) (Table 2). For all but 3 families, 2 parents enrolled, yet not all parents responded at any given survey time point.

Sequencing results were previously published.39 In summary, 159 of the 325 enrolled newborns were randomized to the nGS group. Monogenic disease risks were found in 18 newborns, with risk for a childhood-onset disease identified in 15 of the 159 newborns (9.4%). Only one finding explained a child’s clinical features. None of the rest of the findings were anticipated based on clinical presentation or family history. Carrier status for recessive disease was identified in 140 of 159 newborns (88.1%), and limited atypical pharmacogenomics variants associated with response to pediatric medications were identified in 8 of 159 newborns (5.0%). Risk of actionable adult-onset disease was found in 3 of 85 newborns (3.5%) whose parents consented to receive such information about their infants.

Overview

We found no evidence of a persistent negative impact of nGS during the course of the study in any of the 3 family domains studied. Generalized estimating equations models taking into account whether the infant was in the well-baby nursery or an ICU showed no consistent or increasing negative effect on families over time associated with nGS. The proportion of parents with scores below measure cutoffs for clinical significance was no different between study groups for any scale at any time point (eTable 1 in Supplement 2). In single time-point analyses, conclusions from the parametric and nonparametric tests were consistent (Table 3 and eTables 2-10 in Supplement 2).

Parent-Child Relationship

Parent-child bonding did not differ between study groups (between-group difference in adjusted mean [SE] Mother-to-Infant Bonding Scale scores: postdisclosure, 0.04 [0.15]; 3 months, –0.18 [0.18]; 10 months, –0.07 [0.20]; joint P = .57) or by MDR status over time (between-group difference in adjusted mean [SE] Mother-to-Infant Bonding Scale scores over time: postdisclosure, –0.61 [0.55]; 3 months, 0.17 [0.64]; and 10 months, –0.57 [0.57]; joint P = .10) (eTables 11 and 12 and eFigures 1 and 2 in Supplement 2). Parents in the nGS group who received an MDR finding reported lower mean (SD) Mother-to-Infant Bonding Scale impairment scores (range, 0-24, with lower scores indicating less negative feeling toward the new baby) compared with controls (0.53 [1.14] vs 1.18 [1.42]; P = .03) after disclosure of results, but this effect was not observed at other time points. Perceived child vulnerability, measured by the short-form Vulnerable Baby Scale (score range, 4-20, with lower scores indicating less perceived vulnerability), did not differ by study group (between-group ratio of adjusted mean [SE] Vulnerable Baby Scale scores over time: postdisclosure, 1.04 [0.03]; 3 months, 0.99 [0.03]; and 10 months, 1.00 [0.03]; joint P = .25) or MDR status (between-group ratio of adjusted mean [SE] Vulnerable Baby Scale scores over time: postdisclosure, 1.10 [0.07]; 3 months, 1.03 [0.07]; and 10 months, 1.15 [0.08]; joint P = .08) (eTables 13 and 14 and eFigure 3 in Supplement 2; Figure 2a). Mean (SD) Vulnerable Baby Scale scores were higher after disclosure of results in the nGS group than the control group (9.16 [3.20] vs 8.49 [2.80]; P = .02; Figure 2a). No differences in vulnerability were observed by MDR status. No differences were observed in parent-child system stress measured on the Parenting Stress Index 4 Short Form (score range, 36-180, with lower scores indicating less parenting stress) at 10 months after disclosure by study group (mean [SD] score: nGS group, 60.77 [15.43]; control group, 62.01 [18.41]) or MDR status (mean [SD] score: no MDR, 61.12 [15.20]; MDR, 57.65 [17.53]) (Table 3).

Parents’ Relationship

In generalized estimating equations models of the short-form Kansas Marital Satisfaction Scale (score range, 1-5, with lower scores indicating lower relationship satisfaction), the pattern of responses over time differed by randomization group (between-group difference in adjusted mean [SE] scores: postdisclosure, –0.19 [0.07]; 3 months, –0.04 [0.07]; and 10 months, –0.01 [0.08]; joint P = .02; eTable 15 and eFigure 4 in Supplement 2), with lower relationship satisfaction in the nGS group than the control group. The magnitude of differences in mean scores decreased over time. Parents in the nGS group reported lower relationship satisfaction than control group parents immediately after disclosure (mean [SD] score, 4.40 [0.79] vs 4.58 [0.66]; P = .01), but differences did not persist at later time points. Although parents of infants who later had an MDR reported lower relationship satisfaction compared with other nGS group parents (mean [SD] score, 4.20 [1.05] vs 4.71 [0.55]; P < .001) at baseline, modeled satisfaction did not differ by MDR status (eTable 16 and eFigure 5 in Supplement 2). There were no differences in reported satisfaction after result disclosure among these parents. Reported relationship conflict (measured with 1 novel item on a scale from 1-5, with lower scores indicating less relationship conflict) did not differ by study group over time (between-group difference in adjusted mean [SE] scores: postdisclosure, 0.03 [0.06]; 3 months, 0.05 [0.07]; and 10 months, –0.01 [0.08]; joint P = .84; eTable 17 and eFigure 6 in Supplement 2) yet did differ by MDR status among nGS parents (between-group difference in adjusted mean [SE] scores: postdisclosure, –0.47 [0.17]; 3 months, –0.66 [0.23]; and 10 months, –0.51 [0.22]; joint P = .02; eTable 18 and eFigure 7 in Supplement 2). The MDR group reported more conflict at baseline, and between-group differences decreased after disclosure. On the partner blame measure (measured with 1 novel item scored from 1 to 5, with lower scores indicating less partner blame), no differences were observed at 3 months after disclosure (mean [SD] score: control group, 1.76 [0.70]; nGS group, 1.86 [0.79]; Table 3). Control group parents reported higher blame compared with parents in the nGS group at 10 months after disclosure (mean [SD] score, 1.93 [0.82] vs 1.71 [0.66]; P = .006).

Parents’ Distress

Measured anxiety by the Edinburgh Postnatal Depression Scale Anxiety subscale (score range, 0-9, with lower scores indicating less postpartum anxiety) did not differ by study group when modeled across time (between-group ratio of adjusted mean [SE] scores: postdisclosure, 1.04 [0.08]; 3 months, 1.07 [0.11]; joint P = .80) or when comparing mean group-level responses at any individual time point (eTable 19 in Supplement 2; Figure 2b). However, the response pattern on the anxiety measure differed significantly by MDR group. Although scores decreased for both groups after disclosure, the decrease was particularly large among the MDR group at 3 months; this variation reached significance (ratio of adjusted mean [SE] scores: postdisclosure, 1.09 [0.18]; 3 months, 0.64 [0.17]; joint P = .046; eTable 20 and eFigure 8 in Supplement 2). Depression measure scores did not differ by study group (ratio of adjusted mean [SE] scores: postdisclosure, 0.98 [0.08]; 3 months, 1.00 [0.10]; joint P = .95) or MDR status (ratio of adjusted mean [SE] scores: postdisclosure, 0.95 [0.20]; 3 months, 0.63 [0.16]; joint P = .13) (eTables 21 and 22 and eFigures 9 and 10 in Supplement 2). Mean (SD) self-blame scores were higher in parents of infants in the control group than those in the nGS group (2.05 [0.96] vs 1.80 [0.83]; P = .009) only at 10 months after disclosure (Table 3). Anxiety as measured by the Generalized Anxiety Disorder Scale–7 (score range, 0-21, with lower scores indicating fewer symptoms of generalized anxiety) and depression as measured by the Patient Health Questionnaire–9 (score range, 0-30, with lower scores indicating fewer symptoms of depression) were not higher in the nGS group or MDR group than the respective reference group (eTables 5 and 6 in Supplement 2).

Discussion

In this randomized clinical trial of nGS and return of results for a large spectrum of conditions in newborns from well-baby nurseries and ICUs, nGS in general and nGS with MDR findings were not associated with negative psychosocial impacts compared with standard of care that persisted during the study period across 3 family domains: parent-child relationship, parents’ relationship with each other, and parents’ psychological distress. Even where differences between study groups reached statistical significance, the magnitude of the differences were small and decreased over time. Furthermore, we found no evidence of negative psychosocial effect on the subset of families who received an MDR result. The differences we did observe between those who did and did not receive an MDR result were already present at baseline (before receipt of an MDR result) and decreased over time.

Determining the harm-to-benefit balance of nGS is critical before considering whether nGS should be integrated into routine care. The BabySeq Project demonstrated that nGS can identify risk and carrier status for a broad range of disorders not currently detected in state NBS programs.11,39 The present study’s findings, consistent with the return of genomic information to parents of newborns in other contexts,36,37 suggest that nGS is unlikely to cause harm to families who volunteer for such testing even when carrier status or MDR findings are disclosed to the parents. Although some studies have found evidence of psychosocial harms in response to expanded NBS,23-26 it may have been the timing of the result immediately after birth, uncertainty inherent in the testing process and results, receipt of abnormal results from a clinical test (vs research study), or the nonelective nature of state NBS inducing parents’ distress. We also found lower self-blame and partner blame in the nGS group compared with the control group possibly because nGS information provided some degree of peace of mind. Future research should explore the potential positive psychosocial impacts of nGS.

Limitations

This study has several limitations. First, because few families agreed to hear about the study, the parents who ultimately enrolled may have had more positive attitudes toward research. Second, although we found no evidence of negative psychosocial impact in this volunteer sample of families, our findings may not be generalizable to a scenario in which nGS was state mandated, as with NBS. Third, although we used validated instruments when available, it was necessary to adapt or develop novel measures for some outcomes, and surveys are generally less robust than direct observation for assessment of parent-child relationships. Fourth, the number of families who received an MDR was small, resulting in large 95% CIs for comparisons by MDR status. Fifth, because we collected data for only 10 months after results were disclosed to parents, we cannot draw conclusions about longer-term impacts. Nonetheless, our results suggest that any negative psychosocial effects on families are minor and subside over time.

Conclusions

In this randomized clinical trial of nGS, there was no persistent negative psychosocial effect on families among those who received nGS nor among those who received an MDR finding for their infant. Further research is necessary to explore the impact of nGS in a more diverse patient population and to evaluate potential longer-term effects on families and the children themselves.

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Article Information

Accepted for Publication: April 26, 2021.

Published Online: August 23, 2021. doi:10.1001/jamapediatrics.2021.2829

Corresponding Author: Amy L. McGuire, JD, PhD, Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (amcguire@bcm.edu).

Author Contributions: Drs Pereira and Smith had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs Pereira and Smith contributed equally as co–first authors.

Concept and design: Pereira, Smith, Frankel, Christensen, Robinson, Parad, Waisbren, Beggs, Green, Holm, McGuire.

Acquisition, analysis, or interpretation of data: Pereira, Smith, Christensen, Islam, Robinson, Genetti, Blout Zawatsky, Zettler, Parad, Waisbren, Green, McGuire.

Drafting of the manuscript: Pereira, Smith, Frankel, Christensen, Parad.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Smith, Christensen, Islam, Waisbren.

Obtained funding: Christensen, Parad, Beggs, Green, McGuire.

Administrative, technical, or material support: Pereira, Frankel, Robinson, Genetti, Blout Zawatsky, Zettler, Parad, Green, Holm.

Supervision: Pereira, Parad, Green, Holm, McGuire.

Conflict of Interest Disclosures: Drs Pereira, Smith, Christensen, Waisbren, Beggs, Green, and McGuire and Ms Blout Zawatsky reported receiving grants from the National Institutes of Health (NIH) during the conduct of the study. Dr Pereira reported receiving grants from the NIH and the US Department of Defense outside the submitted work. Dr Smith reported receiving grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and National Human Genome Research Institute during the conduct of the study. Dr Christensen reported receiving grants from the NIH and Sanford Health outside the submitted work; and royalties from UpToDate for work on genomic secondary findings. Dr Beggs reported receiving grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development during the conduct of the study; grants and personal fees from Audentes Therapeutics; grants from Dynacure SAS, Alexion Pharmaceuticals, Pfizer, Muscular Dystrophy Association, and the NIH; personal fees from F. Hoffmann-La Roche AG, Biogen, Asklepios BioPharmaceutical, Gerson Lehrman Group, Guidepoint Global LLC, and Kate Therapeutics; and equity in Ballard Biologics and Kate Therapeutics outside the submitted work. Dr Green reported receiving compensation for advising the AIA, Genomic Life, Grail, Humanity, Kneed Media, OptumLabs, Plumcare, Verily, and VibrentHealth and is co-founder of Genome Medical. Dr Holm reported receiving grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Human Genome Research Institute; and personal fees from Perceptive Informatics, Alexion Pharmaceuticals, Novartis Pharmaceuticals, and F. Hoffmann-La Roche AG during the conduct of the study. No other disclosures were reported.

Funding/Support: This work was supported by grants U19 HD077671 (Drs Green and Beggs) and U01-TR003201 (Drs Green and Holm) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and National Human Genome Research Institute of the NIH. Dr Christensen was supported by NIH grants K01-HG009173 and R01-HD090019.

Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Nonauthor Collaborators: BabySeq Project Team members are listed in Supplement 3.

Data Sharing Statement: See Supplement 4.

Additional Contributions: Susan G. Hilsenbeck, PhD, Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, provided valuable feedback on statistical analysis. She was not compensated for her contribution.

References
1.
Krier  JB, Kalia  SS, Green  RC.  Genomic sequencing in clinical practice: applications, challenges, and opportunities.   Dialogues Clin Neurosci. 2016;18(3):299-312. doi:10.31887/DCNS.2016.18.3/jkrier PubMedGoogle Scholar
2.
Biesecker  LG, Green  RC.  Diagnostic clinical genome and exome sequencing.   N Engl J Med. 2014;370(25):2418-2425. doi:10.1056/NEJMra1312543 PubMedGoogle ScholarCrossref
3.
Jamuar  SS, Tan  EC.  Clinical application of next-generation sequencing for Mendelian diseases.   Hum Genomics. 2015;9:10. doi:10.1186/s40246-015-0031-5 PubMedGoogle ScholarCrossref
4.
Nakagawa  H, Wardell  CP, Furuta  M, Taniguchi  H, Fujimoto  A.  Cancer whole-genome sequencing: present and future.   Oncogene. 2015;34(49):5943-5950. doi:10.1038/onc.2015.90 PubMedGoogle ScholarCrossref
5.
Vassy  JL, Christensen  KD, Schonman  EF,  et al; MedSeq Project.  The impact of whole-genome sequencing on the primary care and outcomes of healthy adult patients: a pilot randomized trial.   Ann Intern Med. 2017;167(3):159-169. doi:10.7326/M17-0188 PubMedGoogle ScholarCrossref
6.
Cheifet  B.  Where is genomics going next?   Genome Biol. 2019;20(1):17. doi:10.1186/s13059-019-1626-2 PubMedGoogle ScholarCrossref
7.
Juengst  E, McGowan  ML, Fishman  JR, Settersten  RA  Jr.  From “personalized” to “precision” medicine: the ethical and social implications of rhetorical reform in genomic medicine.   Hastings Cent Rep. 2016;46(5):21-33. doi:10.1002/hast.614 PubMedGoogle ScholarCrossref
8.
Murray  MF.  The path to routine genomic screening in health care.   Ann Intern Med. 2018;169(6):407-408. doi:10.7326/M18-1722 PubMedGoogle ScholarCrossref
9.
The President’s Council on Bioethics. The changing moral focus of newborn screening: an ethical analysis by the President’s Council on Bioethics. 2008. Accessed October 23, 2020. https://bioethicsarchive.georgetown.edu/pcbe/reports/newborn_screening/chapter3.html
10.
Tarini  BA, Goldenberg  AJ.  Ethical issues with newborn screening in the genomics era.   Annu Rev Genomics Hum Genet. 2012;13:381-393. doi:10.1146/annurev-genom-090711-163741 PubMedGoogle ScholarCrossref
11.
Wojcik  MH, Zhang  T, Ceyhan-Birsoy  O,  et al; BabySeq Project Team.  Discordant results between conventional newborn screening and genomic sequencing in the BabySeq Project.   Genet Med. 2021. doi:10.1038/s41436-021-01146-5 PubMedGoogle Scholar
12.
Johnston  J, Lantos  JD, Goldenberg  A, Chen  F, Parens  E, Koenig  BA; Members of the NSIGHT Ethics and Policy Advisory Board.  Sequencing newborns: a call for nuanced use of genomic technologies.   Hastings Cent Rep. 2018;48(suppl 2):S2-S6. doi:10.1002/hast.874 PubMedGoogle ScholarCrossref
13.
Frankel  LA, Pereira  S, McGuire  AL.  Potential psychosocial risks of sequencing newborns.   Pediatrics. 2016;137(suppl 1):S24-S29. doi:10.1542/peds.2015-3731F PubMedGoogle ScholarCrossref
14.
Committee on Bioethics.  Ethical issues with genetic testing in pediatrics.   Pediatrics. 2001;107(6):1451-1455. doi:10.1542/peds.107.6.1451 PubMedGoogle ScholarCrossref
15.
Botkin  JR, Belmont  JW, Berg  JS,  et al.  Points to consider: ethical, legal, and psychosocial implications of genetic testing in children and adolescents.   Am J Hum Genet. 2015;97(1):6-21. doi:10.1016/j.ajhg.2015.05.022 PubMedGoogle ScholarCrossref
16.
European Society of Human Genetics.  Genetic testing in asymptomatic minors: recommendations of the European Society of Human Genetics.   Eur J Hum Genet. 2009;17(6):720-721. doi:10.1038/ejhg.2009.26 PubMedGoogle ScholarCrossref
17.
American Medical Association. Genetic testing of children. Accessed June 30, 2020. https://www.ama-assn.org/delivering-care/ethics/genetic-testing-children
18.
Meiser  B.  Psychological impact of genetic testing for cancer susceptibility: an update of the literature.   Psychooncology. 2005;14(12):1060-1074. doi:10.1002/pon.933 PubMedGoogle ScholarCrossref
19.
Heshka  JT, Palleschi  C, Howley  H, Wilson  B, Wells  PS.  A systematic review of perceived risks, psychological and behavioral impacts of genetic testing.   Genet Med. 2008;10(1):19-32. doi:10.1097/GIM.0b013e31815f524f PubMedGoogle ScholarCrossref
20.
Green  RC, Roberts  JS, Cupples  LA,  et al; REVEAL Study Group.  Disclosure of APOE genotype for risk of Alzheimer’s disease.   N Engl J Med. 2009;361(3):245-254. doi:10.1056/NEJMoa0809578 PubMedGoogle ScholarCrossref
21.
Bloss  CS, Schork  NJ, Topol  EJ.  Effect of direct-to-consumer genomewide profiling to assess disease risk.   N Engl J Med. 2011;364(6):524-534. doi:10.1056/NEJMoa1011893 PubMedGoogle ScholarCrossref
22.
Wade  CH.  What is the psychosocial impact of providing genetic and genomic health information to individuals? an overview of systematic reviews.   Hastings Cent Rep. 2019;49(suppl 1):S88-S96. doi:10.1002/hast.1021 PubMedGoogle ScholarCrossref
23.
Waisbren  SE, Albers  S, Amato  S,  et al.  Effect of expanded newborn screening for biochemical genetic disorders on child outcomes and parental stress.   JAMA. 2003;290(19):2564-2572. doi:10.1001/jama.290.19.2564 PubMedGoogle ScholarCrossref
24.
Hewlett  J, Waisbren  SE.  A review of the psychosocial effects of false-positive results on parents and current communication practices in newborn screening.   J Inherit Metab Dis. 2006;29(5):677-682. doi:10.1007/s10545-006-0381-1 PubMedGoogle ScholarCrossref
25.
Gurian  EA, Kinnamon  DD, Henry  JJ, Waisbren  SE.  Expanded newborn screening for biochemical disorders: the effect of a false-positive result.   Pediatrics. 2006;117(6):1915-1921. doi:10.1542/peds.2005-2294 PubMedGoogle ScholarCrossref
26.
Tluczek  A, Orland  KM, Cavanagh  L.  Psychosocial consequences of false-positive newborn screens for cystic fibrosis.   Qual Health Res. 2011;21(2):174-186. doi:10.1177/1049732310382919 PubMedGoogle ScholarCrossref
27.
Ahmad  NY, Farrell  MH.  Linguistic markers of emotion in mothers of sickle cell carrier infants: what are they and what do they mean?   Patient Educ Couns. 2014;94(1):128-133. doi:10.1016/j.pec.2013.09.021 PubMedGoogle ScholarCrossref
28.
James  CA, Hadley  DW, Holtzman  NA, Winkelstein  JA.  How does the mode of inheritance of a genetic condition influence families? a study of guilt, blame, stigma, and understanding of inheritance and reproductive risks in families with X-linked and autosomal recessive diseases.   Genet Med. 2006;8(4):234-242. doi:10.1097/01.gim.0000215177.28010.6e PubMedGoogle ScholarCrossref
29.
Reiff  M, Giarelli  E, Bernhardt  BA,  et al.  Parents’ perceptions of the usefulness of chromosomal microarray analysis for children with autism spectrum disorders.   J Autism Dev Disord. 2015;45(10):3262-3275. doi:10.1007/s10803-015-2489-3 PubMedGoogle ScholarCrossref
30.
Clarke  A.  Anticipated stigma and blameless guilt: mothers’ evaluation of life with the sex-linked disorder, hypohidrotic ectodermal dysplasia (XHED).   Soc Sci Med. 2016;158:141-148. doi:10.1016/j.socscimed.2016.04.027 PubMedGoogle ScholarCrossref
31.
Bowen  M.  The use of family theory in clinical practice.   Compr Psychiatry. 1966;7(5):345-374. doi:10.1016/S0010-440X(66)80065-2 PubMedGoogle ScholarCrossref
32.
Broderick  CB.  Understanding Family Process: Basics of Family Systems Theory. Sage Publications; 1993.
33.
Kerruish  NJ.  Parents’ experiences of newborn screening for genetic susceptibility to type 1 diabetes.   J Med Ethics. 2011;37(6):348-353. doi:10.1136/jme.2010.039206 PubMedGoogle ScholarCrossref
34.
Wakefield  CE, Hanlon  LV, Tucker  KM,  et al.  The psychological impact of genetic information on children: a systematic review.   Genet Med. 2016;18(8):755-762. doi:10.1038/gim.2015.181 PubMedGoogle ScholarCrossref
35.
Tluczek  A, Clark  R, McKechnie  AC, Brown  RL.  Factors affecting parent-child relationships one year after positive newborn screening for cystic fibrosis or congenital hypothyroidism.   J Dev Behav Pediatr. 2015;36(1):24-34. doi:10.1097/DBP.0000000000000112 PubMedGoogle ScholarCrossref
36.
O’Connor  K, Jukes  T, Goobie  S,  et al.  Psychosocial impact on mothers receiving expanded newborn screening results.   Eur J Hum Genet. 2018;26(4):477-484. doi:10.1038/s41431-017-0069-z PubMedGoogle ScholarCrossref
37.
Aas  KK, Tambs  K, Kise  MS, Magnus  P, Rønningen  KS.  Genetic testing of newborns for type 1 diabetes susceptibility: a prospective cohort study on effects on maternal mental health.   BMC Med Genet. 2010;11:112. doi:10.1186/1471-2350-11-112 PubMedGoogle ScholarCrossref
38.
Holm  IA, Agrawal  PB, Ceyhan-Birsoy  O,  et al; BabySeq Project Team.  The BabySeq project: implementing genomic sequencing in newborns.   BMC Pediatr. 2018;18(1):225. doi:10.1186/s12887-018-1200-1 PubMedGoogle ScholarCrossref
39.
Ceyhan-Birsoy  O, Murry  JB, Machini  K,  et al; BabySeq Project Team.  Interpretation of genomic sequencing results in healthy and ill newborns: results from the BabySeq Project.   Am J Hum Genet. 2019;104(1):76-93. doi:10.1016/j.ajhg.2018.11.016 PubMedGoogle ScholarCrossref
40.
Ceyhan-Birsoy  O, Machini  K, Lebo  MS,  et al.  A curated gene list for reporting results of newborn genomic sequencing.   Genet Med. 2017;19(7):809-818. doi:10.1038/gim.2016.193 PubMedGoogle ScholarCrossref
41.
Holm  IA, McGuire  A, Pereira  S, Rehm  H, Green  RC, Beggs  AH; BabySeq Project Team.  Returning a genomic result for an adult-onset condition to the parents of a newborn: insights from the BabySeq Project.   Pediatrics. 2019;143(suppl 1):S37-S43. doi:10.1542/peds.2018-1099H PubMedGoogle ScholarCrossref
42.
Taylor  A, Atkins  R, Kumar  R, Adams  D, Glover  V.  A new Mother-to-Infant Bonding Scale: links with early maternal mood.   Arch Womens Ment Health. 2005;8(1):45-51. doi:10.1007/s00737-005-0074-z PubMedGoogle ScholarCrossref
43.
Kerruish  NJ, Settle  K, Campbell-Stokes  P, Taylor  BJ.  Vulnerable Baby Scale: development and piloting of a questionnaire to measure maternal perceptions of their baby’s vulnerability.   J Paediatr Child Health. 2005;41(8):419-423. doi:10.1111/j.1440-1754.2005.00658.x PubMedGoogle ScholarCrossref
44.
Abidin  RR. Parenting Stress Index. 4th ed. Psychological Assessment Resources; 2012.
45.
Schumm  WR, Paff-Bergen  LA, Hatch  RC,  et al.  Concurrent and discriminant validity of the Kansas Marital Satisfaction Scale.   J Marriage Fam. 1986;48(2):381-387. doi:10.2307/352405 Google ScholarCrossref
46.
Cox  JL, Holden  JM, Sagovsky  R.  Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale.   Br J Psychiatry. 1987;150:782-786. doi:10.1192/bjp.150.6.782 PubMedGoogle ScholarCrossref
47.
Spitzer  RL, Kroenke  K, Williams  JBW, Löwe  B.  A brief measure for assessing generalized anxiety disorder: the GAD-7.   Arch Intern Med. 2006;166(10):1092-1097. doi:10.1001/archinte.166.10.1092 PubMedGoogle ScholarCrossref
48.
Kroenke  K, Spitzer  RL, Williams  JBW.  The PHQ-9: validity of a brief depression severity measure.   J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x PubMedGoogle ScholarCrossref
49.
Kitamura  T, Takegata  M, Haruna  M,  et al.  The Mother-Infant Bonding Scale: factor structure and psychosocial correlates of parental bonding disorders in Japan.   J Child Fam Stud. 2015;24(2):393-401. doi:10.1007/s10826-013-9849-4 Google ScholarCrossref
50.
Rothman  KJ.  No adjustments are needed for multiple comparisons.   Epidemiology. 1990;1(1):43-46. doi:10.1097/00001648-199001000-00010 PubMedGoogle ScholarCrossref
51.
Engels  JM, Diehr  P.  Imputation of missing longitudinal data: a comparison of methods.   J Clin Epidemiol. 2003;56(10):968-976. doi:10.1016/S0895-4356(03)00170-7 PubMedGoogle ScholarCrossref
52.
Genetti  CA, Schwartz  TS, Robinson  JO,  et al; BabySeq Project Team.  Parental interest in genomic sequencing of newborns: enrollment experience from the BabySeq Project.   Genet Med. 2019;21(3):622-630. doi:10.1038/s41436-018-0105-6 PubMedGoogle ScholarCrossref
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