Protocol - Sex Assigned at Birth

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Participants (or proxy) indicate the biological sex assigned at birth. It can be self-administered or interviewer administered.

Specific Instructions
Asking about sex assigned at birth does not assure information about anatomy or hormonal milieu. Sex assigned at birth is useful as basic demographic information when used with the Gender Identity protocol.



What was your biological sex assigned at birth?

[ ] Female

[ ] Male

[ ] Intersex

[ ] None of these describe me (optional free text)

[ ] Prefer not to answer

Personnel and Training Required


Equipment Needs

The PhenX Steering Committee acknowledges these questions can be administered in a computerized or noncomputerized format (i.e., paper-and-pencil instrument). Computer software is necessary to develop computer-assisted instruments. The interviewer will require a laptop computer/handheld computer to administer a computer-assisted questionnaire.

Requirement CategoryRequired
Major equipment No
Specialized training No
Specialized requirements for biospecimen collection No
Average time of greater than 15 minutes in an unaffected individual No
Mode of Administration

Self-administered or interviewer-administered questionnaire


Adult, Senior


Adults 18 years and older

Selection Rationale

This protocol was selected because it is both the most up-to-date and in use by the national All of Us research program.


English, Other languages available at source

Derived Variables


Process and Review

The NIH Sexual and Gender Minority Research Office (SGMRO) reviewed this protocol in August 2023.

  • Changed Biological Sex Assigned at Birth protocol name to Sex Assigned at Birth
  • Made Gender Identity and Sex Assigned at Birth protocols “essential” to one another
  • Added NASEM report reference
  • Removed The Precision Medicine Initiative Cohort Program, Collins, F.S. and Varmus, H., and National Research Council references
  • Updated Specific Instructions
  • Updated Protocol Definition
  • Updated Purpose
  • Updated Keywords

Protocol Name from Source

All of Us Research Program, Participant Provided Information (PPI), 2018


All of Us Research Program Participant Provided Information (PPI) Version: December 17, 2018

General References

National Academies of Sciences, Engineering, and Medicine; Division of Behavioral and Social Sciences and Education; Committee on National Statistics; Committee on Measuring Sex, Gender Identity, and Sexual Orientation. Measuring Sex, Gender Identity, and Sexual Orientation. Becker T, Chin M, Bates N, editors. Washington (DC): National Academies Press (US); 2022 Mar 9. PMID: 35286054.

The GenIUSS Group. (2014). Best Practices for Asking Questions to Identify Transgender and Other Gender Minority Respondents on Population-Based Surveys. J.L. Herman (Ed.). Los Angeles, CA: The Williams Institute.

Protocol ID


Export Variables
Variable Name Variable IDVariable DescriptiondbGaP Mapping
PX011601010100 What was your biological sex assigned at birth? N/A
PX011601010200 What was your biological sex assigned at more
birth? Other show less
Measure Name

Sex Assigned at Birth

Release Date

June 4, 2019


The indication of the sex assigned to an individual at the time of birth, typically assigned based on visual inspection of infant anatomy. If sex assigned at birth and gender identity are different, it may indicate that a person is transgender.


Sex assigned at birth is intended to record sex at birth, often based on visual inspection of an infant. Sex assigned at birth is intended to be used in conjunction with the Gender Identity protocol.


sex, gender identity, female, male, intersex, LGBTQ, LGBTQIA

Measure Protocols
Protocol ID Protocol Name
11601 Sex Assigned at Birth

Pomeroy, A., et al. (2022) Protocol for a Longitudinal Study of the Determinants of Metabolic Syndrome Risk in Young Adults. Translational Journal of the American College of Sports Medicine. 2022 April; 7(2): 8. doi: 10.1249/tjx.0000000000000197

Loring, D. W., et al. (2022) Rationale and Design of the National Neuropsychology Network. Journal of the International Neuropsychological Society. 2022 January; 28(1): 11-Jan. doi: 10.1017/S1355617721000199

Young Hye, K., et al. (2021) Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study. Proceedings of the National Academy of Sciences of the United States of America. 2021 December; 118(49): 1-11. doi: 10.1073/pnas.2110811118

Schettini, E., et al. (2021) Internalizing-externalizing comorbidity and regional brain volumes in the ABCD study. Development and Psychopathology. 2021 December; 33(5): 1620-1633.

Barch, D. M., et al. (2021) Demographic and mental health assessments in the adolescent brain and cognitive development study: Updates and age-related trajectories. Developmental Cognitive Neuroscience. 2021 December; 52: 101031. doi: 10.1016/j.dcn.2021.101031

Roth, A. R., et al. (2021) Network recall among older adults with cognitive impairments. Social Networks. 2021 January; 64: 99-108. doi: 10.1016/j.socnet.2020.08.005

Omodior, O. and W. D. Ramos (2020) Social Determinants of Health-Related Quality of Life: A Recreation Setting Analysis. Health Promotion Practice. 2020 November; 21(6): 952-961. doi: 10.1177/1524839919827572

Barbirou, M., et al. (2020) Western influenced lifestyle and Kv2.1 association as predicted biomarkers for Tunisian colorectal cancer. BMC Cancer. 2020 November; 20: Article Number: 1086. doi: 10.1186/s12885-020-07605-7

Harker, J. L. and J. A. Jensen. (2020) Adding insult to rivalry: Exploring the discord communicated between rivals. International Journal of Sports Marketing & Sponsorship. 2020 January; 21(4): 633-649. doi: 10.1108/IJSMS-12-2019-0141

Hankins, J. S., et al. (2018) Sickle Cell Clinical Research and Intervention Program (SCCRIP): A lifespan cohort study for sickle cell disease progression from the pediatric stage into adulthood. Pediatr Blood Cancer. 2018 September; 65(9): 27228. doi: 10.1002/pbc.27228

Unger, J. B. (2018) Perceived Discrimination as a Risk Factor for Use of Emerging Tobacco Products: More Similarities Than Differences Across Demographic Groups and Attributions for Discrimination. Subst Use Misuse. 2018 August; 53(10): 1638-1644. doi: 10.1080/10826084.2017.1421226

Barch, D. M., et al. (2018) Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description. Dev Cogn Neurosci. 2018 August; 32: 55-66. doi: 10.1016/j.dcn.2017.10.010

Juan, J., et al. (2017) Joint Effects of PON1 Polymorphisms and Vegetable Intake on Ischemic Stroke: A Family-Based Case Control Study. Int J Mol Sci. 2017 December; 18(12): E2652. doi: 10.3390/ijms18122652