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Chief

Social and Behavioral Research Branch

Head

Social Network Methods Section

Education

B.S. University of California, Davis, 1989

A.M. University of Illinois, Urbana-Champaign, 1994

M.S. University of Illinois, Urbana-Champaign, 1995

Ph.D. University of Illinois, Urbana-Champaign, 1996

Biography

Laura M. Koehly, Ph.D., is chief and senior investigator in the Social and Behavioral Research Branch, National Human Genome Research Institute (NHGRI), National Institutes of Health. She earned her Ph.D. in quantitative psychology from the University of Illinois - Urbana/Champaign. Following graduate school, Dr. Koehly was a research associate at the University of Texas, M.D. Anderson Cancer Center and on the faculty at the University of Iowa and Texas A&M University. Dr. Koehly joined the NHGRI faculty in 2005.

Dr. Koehly's research focuses on developing and applying social network methods to the study of complex social systems, such as families and communities. Her expertise is on family network systems and the role of family social ties in individual members' engagement in health behaviors. Dr. Koehly is particularly interested in how genetic/genomic risk information can be used to activate network processes to improve families' health. Understanding the familial culture from a network perspective is important for the delivery of healthcare services and dissemination of genetic risk information.

Ultimately, her research aims to develop effective strategies to help families cope with disease-risk information, to increase patients' willingness to share such information with their personal physician and other health care personnel, and to motivate encouragement within the family to increase adherence to risk-reducing behaviors.

A new line of research aims to understand factors associated with resilience to chronic stress in families engaged in high caregiver burden due to chronic illness. This work aims to understand caregiving from a network perspective, capturing the varying roles of formal care providers, such as healthcare providers (e.g., genetic counselors, general practitioners) or caregiving staff, family members, as well as those who are like family (e.g. friends) in the process of direct care provision, decision making, communication, and support in families affected by hereditary disease.

  • Biography

    Laura M. Koehly, Ph.D., is chief and senior investigator in the Social and Behavioral Research Branch, National Human Genome Research Institute (NHGRI), National Institutes of Health. She earned her Ph.D. in quantitative psychology from the University of Illinois - Urbana/Champaign. Following graduate school, Dr. Koehly was a research associate at the University of Texas, M.D. Anderson Cancer Center and on the faculty at the University of Iowa and Texas A&M University. Dr. Koehly joined the NHGRI faculty in 2005.

    Dr. Koehly's research focuses on developing and applying social network methods to the study of complex social systems, such as families and communities. Her expertise is on family network systems and the role of family social ties in individual members' engagement in health behaviors. Dr. Koehly is particularly interested in how genetic/genomic risk information can be used to activate network processes to improve families' health. Understanding the familial culture from a network perspective is important for the delivery of healthcare services and dissemination of genetic risk information.

    Ultimately, her research aims to develop effective strategies to help families cope with disease-risk information, to increase patients' willingness to share such information with their personal physician and other health care personnel, and to motivate encouragement within the family to increase adherence to risk-reducing behaviors.

    A new line of research aims to understand factors associated with resilience to chronic stress in families engaged in high caregiver burden due to chronic illness. This work aims to understand caregiving from a network perspective, capturing the varying roles of formal care providers, such as healthcare providers (e.g., genetic counselors, general practitioners) or caregiving staff, family members, as well as those who are like family (e.g. friends) in the process of direct care provision, decision making, communication, and support in families affected by hereditary disease.

Scientific Summary

Under Dr. Koehly's leadership, the Social Network Methods Section focuses on three main scientific goals: 1) to develop methods that measure and model the complexities of relational systems, 2) to use such models to understand the social, psychological and communicative context of families at risk of hereditary and complex diseases, and 3) to translate these findings into effective network-based interventions. The section applies these goals within three ongoing lines of research.

In their first line of research, the section members aim to examine the influence of social relationships on the communication of genetic and genomic risk information within families (e.g., family health history, genetic test results). Recent efforts consider relational influences, such as behavioral encouragement, on individual health outcomes, including lifestyle and screening behaviors. One of the section's major findings is that family relationships are crucial to individual engagement in such behaviors, indicating the need for interventions that activate and enrich family connections. As new technologies advance the translation of genomic discoveries into clinical and public health settings, the role of the family network system in improving members' health outcomes has become more pronounced. Thus, Dr. Koehly engages in evaluating the influence of the familial social context on communication and encouragement processes, with the goal of defining interventions to promote healthy behaviors. Her research group has identified a set of common interpersonal processes underlying genetic risk communication within families for whom Lynch syndrome mutations and, separately, BRCA1/2 mutations, have been identified, or have not been identified. However, it is unclear whether these processes are analogous across disease contexts. Accordingly, the researchers currently are investigating genomic risk communication and adaptation to risk in families across a diverse array of disease assessments. They also are investigating the role of non-family network ties, and variability due to cultural or ethnic context.

Artwork

Through one such initiative, Families SHARE, the researchers are focused on developing tools to help families understand the role of family health history in their risk of common complex disease. These tools are not only educational, but also provide a platform for family members to engage in conversations about shared risk and to develop cooperative approaches for risk reduction. The researchers have developed a Families SHARE workbook that has been evaluated by key stakeholders in the community and is currently being used in a cross-cultural randomized control trial. In addition, the section has begun to translate the Families SHARE workbook to a web-based application, providing a research infrastructure for families to use for gathering and sharing their family health history information.

Other goals in the Koehly group are to understand how genetics/genomics, biology and social relationships intersect. In one such project, the group studies genetic and other biological susceptibilities to social and environmental influences. They consider how genetic markers associated with sensation-seeking and risk-taking might influence the structuring of social networks. Their working hypothesis is that those with shared risk markers for sensation-seeking/risk-taking tendencies will be more likely to affiliate with each other, creating an informal social group that can be targeted for intervention. Such interventions might engage these informal groups in positive health behaviors that address members' shared biological needs for sensation-seeking. In so doing, these interventions may capitalize on informal social relationships for sustainable behavior change.

In another project, Dr. Koehly is investigating how social relationships become subject to strain. Her group examines how social connections may improve resilience or exacerbate vulnerability of families with high levels of caregiving burden. They recently completed a pilot study to investigate caregiving networks that surround those affected by Alzheimer's disease, characterized by professional care providers and informal caregivers. This work has expanded to consider caregiving across the life course by studying caregiving for children affected by chronic health conditions, such as inborn errors of metabolism or Tay Sachs disease, as well as for adults affected by diseases, such as Alzheimer's or Parkinson's disease. This research will consider biomarkers of stress and potential contagion of these markers among family members. The goal of this work is twofold: 1) to identify factors associated with resilience to chronic stress in families with high caregiver burden, and 2) to identify points of intervention that reduce stress response and improve health of those involved in caring for a loved one affected by chronic illness.

The third arm of research focuses on the development of methods to model the complexities of social systems in three broad areas. First, Dr. Koehly's research group explores problems in network measurement. This research aims to identify optimal approaches for combining multiple relational measurements that tap into the same underlying construct, with the goal of developing measures of reliability and validity for relational constructs. Second, the group aims to address the incomplete social network data common to the study of family systems or community-based research. These methods use a Bayesian approach and imputation methods to "fill in the blanks" observed due to missing nodes and missing relational ties, offering a fuller picture of participant family systems, and to apply social network methods developed for complete networks to these studies. Finally, Dr. Koehly's group is developing methods to address questions related to informant accuracy. In so doing, they can identify key players in the network system that might be identified as family genomics health educators or primary care providers, based on assessments obtained from multiple informants.

  • Scientific Summary

    Under Dr. Koehly's leadership, the Social Network Methods Section focuses on three main scientific goals: 1) to develop methods that measure and model the complexities of relational systems, 2) to use such models to understand the social, psychological and communicative context of families at risk of hereditary and complex diseases, and 3) to translate these findings into effective network-based interventions. The section applies these goals within three ongoing lines of research.

    In their first line of research, the section members aim to examine the influence of social relationships on the communication of genetic and genomic risk information within families (e.g., family health history, genetic test results). Recent efforts consider relational influences, such as behavioral encouragement, on individual health outcomes, including lifestyle and screening behaviors. One of the section's major findings is that family relationships are crucial to individual engagement in such behaviors, indicating the need for interventions that activate and enrich family connections. As new technologies advance the translation of genomic discoveries into clinical and public health settings, the role of the family network system in improving members' health outcomes has become more pronounced. Thus, Dr. Koehly engages in evaluating the influence of the familial social context on communication and encouragement processes, with the goal of defining interventions to promote healthy behaviors. Her research group has identified a set of common interpersonal processes underlying genetic risk communication within families for whom Lynch syndrome mutations and, separately, BRCA1/2 mutations, have been identified, or have not been identified. However, it is unclear whether these processes are analogous across disease contexts. Accordingly, the researchers currently are investigating genomic risk communication and adaptation to risk in families across a diverse array of disease assessments. They also are investigating the role of non-family network ties, and variability due to cultural or ethnic context.

    Artwork

    Through one such initiative, Families SHARE, the researchers are focused on developing tools to help families understand the role of family health history in their risk of common complex disease. These tools are not only educational, but also provide a platform for family members to engage in conversations about shared risk and to develop cooperative approaches for risk reduction. The researchers have developed a Families SHARE workbook that has been evaluated by key stakeholders in the community and is currently being used in a cross-cultural randomized control trial. In addition, the section has begun to translate the Families SHARE workbook to a web-based application, providing a research infrastructure for families to use for gathering and sharing their family health history information.

    Other goals in the Koehly group are to understand how genetics/genomics, biology and social relationships intersect. In one such project, the group studies genetic and other biological susceptibilities to social and environmental influences. They consider how genetic markers associated with sensation-seeking and risk-taking might influence the structuring of social networks. Their working hypothesis is that those with shared risk markers for sensation-seeking/risk-taking tendencies will be more likely to affiliate with each other, creating an informal social group that can be targeted for intervention. Such interventions might engage these informal groups in positive health behaviors that address members' shared biological needs for sensation-seeking. In so doing, these interventions may capitalize on informal social relationships for sustainable behavior change.

    In another project, Dr. Koehly is investigating how social relationships become subject to strain. Her group examines how social connections may improve resilience or exacerbate vulnerability of families with high levels of caregiving burden. They recently completed a pilot study to investigate caregiving networks that surround those affected by Alzheimer's disease, characterized by professional care providers and informal caregivers. This work has expanded to consider caregiving across the life course by studying caregiving for children affected by chronic health conditions, such as inborn errors of metabolism or Tay Sachs disease, as well as for adults affected by diseases, such as Alzheimer's or Parkinson's disease. This research will consider biomarkers of stress and potential contagion of these markers among family members. The goal of this work is twofold: 1) to identify factors associated with resilience to chronic stress in families with high caregiver burden, and 2) to identify points of intervention that reduce stress response and improve health of those involved in caring for a loved one affected by chronic illness.

    The third arm of research focuses on the development of methods to model the complexities of social systems in three broad areas. First, Dr. Koehly's research group explores problems in network measurement. This research aims to identify optimal approaches for combining multiple relational measurements that tap into the same underlying construct, with the goal of developing measures of reliability and validity for relational constructs. Second, the group aims to address the incomplete social network data common to the study of family systems or community-based research. These methods use a Bayesian approach and imputation methods to "fill in the blanks" observed due to missing nodes and missing relational ties, offering a fuller picture of participant family systems, and to apply social network methods developed for complete networks to these studies. Finally, Dr. Koehly's group is developing methods to address questions related to informant accuracy. In so doing, they can identify key players in the network system that might be identified as family genomics health educators or primary care providers, based on assessments obtained from multiple informants.

Publications

Marcum CS, Ashida S, Koehly L. Primary caregivers in a network context. J Gerontol B Psychol Sci Soc Sci. doi: 10.1093/geronb/gbx165.Epub ahead of print. 2018. [PubMed]

Lin J, Marcum CS, Myers MG, Koehly LM. Racial differences in family health history knowledge: Exploring the role of interpersonal mechanisms. Translational Behavioral Medicine. 8(4): 540-549. 2018. [PubMed]

Lin J, Marcum CS, Wilkinson AV, Koehly LM. Developing shared appraisals of diabetes risk through family health history feedback: the case of Mexican-heritage families. Annals of Behavioral Medicine. 52(3):262-271. DOI: 10.1093/abm/kax037. 2018 [PubMed]

Lea D, Shchelochkov O, Cleary J, Koehly LM. Dietary management of Propionic Acidemia: family caregiver perspectives and practices. Journal of Parenteral and Enteral Nutrition. Epub ahead of print. DOI: 10.1002/jpen.1461. 2018. [PubMed]

Koehly LM, Marcum CS. Multiple-relational measurement for latent construct networks. Psychological Methods. 23(1):42-57, 2018. DOI: 10.1037/met0000110. Kouki P, Pujara J, Marcum C, Koehly L, Getoor L. Collective entity resolution in multi-relational familial networks. Knowledge and Information Systems. DOI: 10.1007/s10115-018-1246-2. 2018. [Full Text]

Ashida, S, Marcum CS, Koehly LM. Unmet expectations in Alzheimer's family caregiving: Interactional characteristics associated with perceived under-contribution. The Gerontologist, 58(2): e46-e55, 2018. DOI: 10.1093/geront/gnx141. [PubMed]

Lin J, Marcum CS, Myers MG, Koehly LM. Put the family back into family health history: A multiple-informant approach. American Journal of Preventive Medicine. 52(5): 640-644, 2017. [PubMed]

Lienert J, Marcum CS, Finney J, Reed-Tsochas F, Koehly LM. Social influence on 5-year survival in a longitudinal chemotherapy ward co-presence network. Network Science. 5(3): 308-327, 2017. [PubMed Central]

Goergen AF, Ashida S, Skapinsky K, de Heer HD, Wilkinson AV, Koehly LM. What You Don't Know: Improving family health history knowledge of diabetes and heart disease among multigenerational Mexican origin families. Public Health Genomics, 19(2): 93-101. DOI: 10.1159/000443473. 2016. [Full Text]

de Heer HD, de la Haye K, Skapinsky K, Goergen AF, Wilkinson AV, Koehly LM. Let's Move Together: Impact of a family health history intervention on encouragement and co-engagement in physical activity of Mexican origin parents and children. Health Education and Behavior, 44(1): 141-152, 2016. DOI: 10.1177/1090198116644703. 2016. [Full Text]

Marcum CS, Koehly LM. Inter-generational contact from a network perspective. Advances in Life Course Research. 24: 10-20. 2015. [PubMed Central]

Koehly LM, Morris BA, Skapinsky K, Goergen A, Ludden A. Evaluation of the Families SHARE workbook: an educational tool outlining disease risk and healthy guidelines to reduce risk of heart disease, diabetes, breast cancer, and colorectal cancer. BMC Public Health. 15: 1120. DOI: 10.1186/s12889-015-2483-x. 2015. [PubMed Central]

Koehly LM, Ashida S, Schafer EJ, Ludden A. Caregiving networks - Using a network approach to identify missed opportunities.Journals of Gerontology, Series B: Psychological Sciences and Social Science. 70(1): 143-154, 2015. [PubMed]

Eliezer D, Hadley DW, Koehly LM. Exploring psychological responses to genetic testing for Lynch Syndrome within the family context. Psycho-oncology, doi: 10.1002/pon.3551.2014. [PubMed]

Hovick SR, Wilkinson AV, Ashida S, de Heer HD, Koehly LM. The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes. Health Education Research, 29(2): 222-234. 2014. [PubMed]

De la Haye K, de Heer HD, Wilkinson AV, Koehly LM. Predictors of parent-child relationships that support physical activity in Mexican American families. Journal of Behavioral Medicine. Epub ahead of print. 2012. [PubMed]

Morris BA, Hadley DW, Koehly LM. The role of religious and existential well-being in families with Lynch Syndrome: Prevention, family communication, and psychosocial adjustment. Journal of Genetic Counseling, 22(4): 482-491. 2013. [PubMed]

Ashida S, Wilkinson AV, Koehly LM. Social influence and motivation to change health behaviors: Implications for diet and physical activity. American Journal of Health Promotion, 26(3):176-179, 2012. [PubMed]

Cruz RA, Wilkinson AV, Bondy ML, Koehly LM. Psychometric evaluation of the Demographic Index of Cultural Exposure (DICE) in two Mexican-origin community samples. Hispanic Journal of Behavioral Sciences, 34(3):404-420. 2012 [Full Text]

Koehly LM, Ashida S, Goergen AF, Skapinsky KF, Hadley DW, Wilkinson AW. Willingness of Mexican American adults to share family health history with health care providers. American Journal of Preventive Medicine, 40(6): 633-6. 2011. [PubMed]

Ersig AL, Hadley DW, Koehly LM. Understanding patterns of health communication in families at risk for hereditary non-polyposis colorectal cancer: Examining the effect of conclusive vs. indeterminate genetic test results. Health Communication, 26(7): 587-94. 2011. [PubMed]

Ashida S, Hadley DW, Goergen AF, Skapinsky KF, Devlin H, Koehly LM. The importance of older family members in providing social resources and promoting cancer screening in families with a hereditary cancer syndrome. The Gerontologist, 51(6): 833-42. 2011. [PubMed]

McBride CM, Bowen D, Brody LC, Condit CM, Croyle R, Gwinn M, Khoury M, Koehly LM, Korf B, Marteau T, McLeroy K, Patrick K, Valente TW. Future health applications of genomics: Priorities for communication, behavioral, and social science research. American Journal of Preventive Medicine, 38(5):556-565, 2010. [PubMed]

Ashida S, Wilkinson AV, Koehly LM. Motivation for health screening: Evaluation of social influence among Mexican-American adults. American Journal of Preventive Medicine, 38(4): 396-402, 2010. [PubMed]

Koehly, LM, Peters, JA, Kenen, R, Hoskins, L, Ersig, AL, Kuhn, N, Loud, J, and Greene, MH. Characteristics of health information gatherers, disseminators, and blockers within families at risk of hereditary cancer: Implications for family health education interventions. American Journal of Public Health, 99(12): 2203-9. 2009. [PubMed]

Ersig, AL, Williams, JK, Hadley, DW, and Koehly, LM. Communication, encouragement, and cancer screening in families with and without mutations for hereditary non-polyposis colorectal cancer. Genetics in Medicine, 11(10): 728-34. 2009 [PubMed]

Book Chapters & Excerpts

Welch LR, Koehly LM, Elnitski L. Shared regulatory motifs in promoters of human DNA repair genes. Chapter in I. Kruman (Ed). DNA Repair / Book 4, pp. 67-84. Rijeka, Croatia: INTECH Publishers. 2011.

Koehly LM, McBride CM. Genomic risk information for common health conditions: Maximizing kinship-based health promotion. Chapter in K. Tercyak (Ed). Handbook of Genomics and the Family, pp.407-436. New York: Springer. 2010.

Koehly LM, Pattison P. Random graph models for social networks: multiple relations or multiple raters. In: Carrington P, Scott J, and Wasserman S (Eds). Models and Methods in Social Network Analysis, pp. 162-191. New York: Cambridge University Press. 2005.

  • Publications

    Marcum CS, Ashida S, Koehly L. Primary caregivers in a network context. J Gerontol B Psychol Sci Soc Sci. doi: 10.1093/geronb/gbx165.Epub ahead of print. 2018. [PubMed]

    Lin J, Marcum CS, Myers MG, Koehly LM. Racial differences in family health history knowledge: Exploring the role of interpersonal mechanisms. Translational Behavioral Medicine. 8(4): 540-549. 2018. [PubMed]

    Lin J, Marcum CS, Wilkinson AV, Koehly LM. Developing shared appraisals of diabetes risk through family health history feedback: the case of Mexican-heritage families. Annals of Behavioral Medicine. 52(3):262-271. DOI: 10.1093/abm/kax037. 2018 [PubMed]

    Lea D, Shchelochkov O, Cleary J, Koehly LM. Dietary management of Propionic Acidemia: family caregiver perspectives and practices. Journal of Parenteral and Enteral Nutrition. Epub ahead of print. DOI: 10.1002/jpen.1461. 2018. [PubMed]

    Koehly LM, Marcum CS. Multiple-relational measurement for latent construct networks. Psychological Methods. 23(1):42-57, 2018. DOI: 10.1037/met0000110. Kouki P, Pujara J, Marcum C, Koehly L, Getoor L. Collective entity resolution in multi-relational familial networks. Knowledge and Information Systems. DOI: 10.1007/s10115-018-1246-2. 2018. [Full Text]

    Ashida, S, Marcum CS, Koehly LM. Unmet expectations in Alzheimer's family caregiving: Interactional characteristics associated with perceived under-contribution. The Gerontologist, 58(2): e46-e55, 2018. DOI: 10.1093/geront/gnx141. [PubMed]

    Lin J, Marcum CS, Myers MG, Koehly LM. Put the family back into family health history: A multiple-informant approach. American Journal of Preventive Medicine. 52(5): 640-644, 2017. [PubMed]

    Lienert J, Marcum CS, Finney J, Reed-Tsochas F, Koehly LM. Social influence on 5-year survival in a longitudinal chemotherapy ward co-presence network. Network Science. 5(3): 308-327, 2017. [PubMed Central]

    Goergen AF, Ashida S, Skapinsky K, de Heer HD, Wilkinson AV, Koehly LM. What You Don't Know: Improving family health history knowledge of diabetes and heart disease among multigenerational Mexican origin families. Public Health Genomics, 19(2): 93-101. DOI: 10.1159/000443473. 2016. [Full Text]

    de Heer HD, de la Haye K, Skapinsky K, Goergen AF, Wilkinson AV, Koehly LM. Let's Move Together: Impact of a family health history intervention on encouragement and co-engagement in physical activity of Mexican origin parents and children. Health Education and Behavior, 44(1): 141-152, 2016. DOI: 10.1177/1090198116644703. 2016. [Full Text]

    Marcum CS, Koehly LM. Inter-generational contact from a network perspective. Advances in Life Course Research. 24: 10-20. 2015. [PubMed Central]

    Koehly LM, Morris BA, Skapinsky K, Goergen A, Ludden A. Evaluation of the Families SHARE workbook: an educational tool outlining disease risk and healthy guidelines to reduce risk of heart disease, diabetes, breast cancer, and colorectal cancer. BMC Public Health. 15: 1120. DOI: 10.1186/s12889-015-2483-x. 2015. [PubMed Central]

    Koehly LM, Ashida S, Schafer EJ, Ludden A. Caregiving networks - Using a network approach to identify missed opportunities.Journals of Gerontology, Series B: Psychological Sciences and Social Science. 70(1): 143-154, 2015. [PubMed]

    Eliezer D, Hadley DW, Koehly LM. Exploring psychological responses to genetic testing for Lynch Syndrome within the family context. Psycho-oncology, doi: 10.1002/pon.3551.2014. [PubMed]

    Hovick SR, Wilkinson AV, Ashida S, de Heer HD, Koehly LM. The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes. Health Education Research, 29(2): 222-234. 2014. [PubMed]

    De la Haye K, de Heer HD, Wilkinson AV, Koehly LM. Predictors of parent-child relationships that support physical activity in Mexican American families. Journal of Behavioral Medicine. Epub ahead of print. 2012. [PubMed]

    Morris BA, Hadley DW, Koehly LM. The role of religious and existential well-being in families with Lynch Syndrome: Prevention, family communication, and psychosocial adjustment. Journal of Genetic Counseling, 22(4): 482-491. 2013. [PubMed]

    Ashida S, Wilkinson AV, Koehly LM. Social influence and motivation to change health behaviors: Implications for diet and physical activity. American Journal of Health Promotion, 26(3):176-179, 2012. [PubMed]

    Cruz RA, Wilkinson AV, Bondy ML, Koehly LM. Psychometric evaluation of the Demographic Index of Cultural Exposure (DICE) in two Mexican-origin community samples. Hispanic Journal of Behavioral Sciences, 34(3):404-420. 2012 [Full Text]

    Koehly LM, Ashida S, Goergen AF, Skapinsky KF, Hadley DW, Wilkinson AW. Willingness of Mexican American adults to share family health history with health care providers. American Journal of Preventive Medicine, 40(6): 633-6. 2011. [PubMed]

    Ersig AL, Hadley DW, Koehly LM. Understanding patterns of health communication in families at risk for hereditary non-polyposis colorectal cancer: Examining the effect of conclusive vs. indeterminate genetic test results. Health Communication, 26(7): 587-94. 2011. [PubMed]

    Ashida S, Hadley DW, Goergen AF, Skapinsky KF, Devlin H, Koehly LM. The importance of older family members in providing social resources and promoting cancer screening in families with a hereditary cancer syndrome. The Gerontologist, 51(6): 833-42. 2011. [PubMed]

    McBride CM, Bowen D, Brody LC, Condit CM, Croyle R, Gwinn M, Khoury M, Koehly LM, Korf B, Marteau T, McLeroy K, Patrick K, Valente TW. Future health applications of genomics: Priorities for communication, behavioral, and social science research. American Journal of Preventive Medicine, 38(5):556-565, 2010. [PubMed]

    Ashida S, Wilkinson AV, Koehly LM. Motivation for health screening: Evaluation of social influence among Mexican-American adults. American Journal of Preventive Medicine, 38(4): 396-402, 2010. [PubMed]

    Koehly, LM, Peters, JA, Kenen, R, Hoskins, L, Ersig, AL, Kuhn, N, Loud, J, and Greene, MH. Characteristics of health information gatherers, disseminators, and blockers within families at risk of hereditary cancer: Implications for family health education interventions. American Journal of Public Health, 99(12): 2203-9. 2009. [PubMed]

    Ersig, AL, Williams, JK, Hadley, DW, and Koehly, LM. Communication, encouragement, and cancer screening in families with and without mutations for hereditary non-polyposis colorectal cancer. Genetics in Medicine, 11(10): 728-34. 2009 [PubMed]

    Book Chapters & Excerpts

    Welch LR, Koehly LM, Elnitski L. Shared regulatory motifs in promoters of human DNA repair genes. Chapter in I. Kruman (Ed). DNA Repair / Book 4, pp. 67-84. Rijeka, Croatia: INTECH Publishers. 2011.

    Koehly LM, McBride CM. Genomic risk information for common health conditions: Maximizing kinship-based health promotion. Chapter in K. Tercyak (Ed). Handbook of Genomics and the Family, pp.407-436. New York: Springer. 2010.

    Koehly LM, Pattison P. Random graph models for social networks: multiple relations or multiple raters. In: Carrington P, Scott J, and Wasserman S (Eds). Models and Methods in Social Network Analysis, pp. 162-191. New York: Cambridge University Press. 2005.

Social Network Methods Section Staff

Chris Marcum, Ph.D.
Chris Marcum, Ph.D.
  • Staff Scientist
  • Social Network Methods Section Members
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Dawn E. Lea
  • Nurse Consultant
  • Social Network Methods Section Members
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Mindy J. Perilla
  • Project Coordinator
  • Social Network Methods Section Members
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Megan Cooper
  • Clinical Research Coordinator
  • Social Network Methods Section Members
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Jasmine A. Manalel
  • Postdoctoral Fellow
  • Social Network Methods Section Members
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Calandra G. Whitted
  • Graduate Student Fellow
  • Social Network Methods Section Members
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Lena E. Eskin
  • Post baccalaureate Fellow
  • Social Network Methods Section Members
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Aaron A. Gurayah
  • Post baccalaureate Fellow
  • Social Network Methods Section Members
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Anna E. Shetler
  • Post baccalaureate Fellow
  • Social Network Methods Section Members
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Tracy Swan
  • Post baccalaureate Fellow
  • Social Network Methods Section Members
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Fiona O. Gilpin Macfoy
  • Student Intern
  • Social Network Methods Section Members

Last updated: January 6, 2015