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Biosocial Surveys (2007)
Committee on Population (CPOP)

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. "9 Are Genes Good Markers of Biological Traits?--Mary Jane West-Eberhard." Biosocial Surveys. Washington, DC: The National Academies Press, 2007.

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Biosocial Surveys

should one think about the formative role of genes? In this essay I discuss some results of my own struggles with this problem that may help other nongeneticists think about genes. The companion volume to this one, Cells and Surveys (National Research Council, 2001) contains a chapter (Wallace, 2001) on genetic markers in population surveys of human traits whose language could serve as a model of meticulous accuracy in the discussion of genetic data. This chapter is intended as a kind of reader’s guide for how to relate genes to phenotypic traits in general, in order to better interpret research results and public discussions that attempt to relate genes to particular human characteristics. For a more thorough discussion, see West-Eberhard (2003, Part I).

VALUE OF A DEVELOPMENTAL-EVOLUTIONARY PERSPECTIVE FOR GENETIC ANALYSES OF TRAITS

To understand how any complex apparatus works, it helps to know how it was put together. For traits of organisms, this means understanding how they develop and how they have evolved. Sometimes evolution is depicted as a process of random genetic mutation and selection. Advances in the molecular genetics of gene expression and development, as well as in phylogenetic methods that permit more accurate histories of organismic change, support a different view: novel traits originate via the developmental reorganization of ancestral phenotypes, not just by a series of random mutations and their cumulative new effects. That is, the traits one observes have been assembled via the reorganization of older traits, with old genes used in new combinations. Furthermore, developmental reorganization can be initiated by environmental factors, as well as by mutations. In keeping with the universally acknowledged importance of environment in development, environmental induction can play an important role in the reorganizational origins of novel traits (for a summary and extensive documentation see West-Eberhard, 2003, Chapters 9-18, on evolution by developmental reorganization; Chapters 6, 20, 26 on the role of environmental factors).

These findings are relevant to the search for genetic markers—genetic loci whose different alleles correlate strongly with, and can therefore be used to predict, variation in human traits. First, due to change by reorganization of gene expression, related organisms or populations can have markedly distinctive characteristics, or “phenotypes,” without having a large number, or any, distinctive new genes or genetic alleles (alternative DNA sequences at the same chromosomal locus). This is illustrated by the small genetic distance between humans and chimpanzees despite considerable differences in their behavioral and morphological phenotypes (King and Wilson, 1975). Second, the reuse of the same genes in different

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Front Matter (R1-R14)
Introduction--James W. Vaupel, Kenneth W. Wachter, and Maxine Weinstein (1-12)
Part I: What We've Learned So Far (13-14)
1 Biological Indicators and Genetic Information in Danish Twin and Oldest-Old Surveys--Kaare Christensen, Lise Bathum, and Lene Christiansen (15-41)
2 Whitehall II and ELSA: Integrating Epidemiological and Psychobiological Approaches to the Assessment of Biological Indicators--Michael Marmot and Andrew Steptoe (42-59)
3 The Taiwan Biomarker Project--Ming-Cheng Chang, Dana A. Glei, Noreen Goldman, and Maxine Weinstein (60-77)
4 Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study--David Weir (78-95)
5 An Overview of Biomarker Research from Community and Population-Based Studies on Aging--Jennifer R. Harris, Tara L. Gruenewald, and Teresa Seeman (96-135)
6 The Women's Health Initiative: Lessons for the Population Study of Biomarkers--Robert B. Wallace (136-148)
7 Comments on Collecting and Utilizing Biological Indicators in Social Science Surveys--Duncan Thomas and Elizabeth Frankenberg (149-155)
8 Biomarkers in Social Science Research on Health and Aging: A Review of Theory and Practice--Douglas C. Ewbank (156-172)
Part II: The Potential and Pitfalls of Genetic Information (173-174)
9 Are Genes Good Markers of Biological Traits?--Mary Jane West-Eberhard (175-193)
10 Genetic Markers in Social Science Research: Opportunities and Pitfalls--George P. Vogler and Gerald E. McClearn (194-207)
11 Comments on the Utility of Social Science Surveys for the Discovery and Validation of Genes Influencing Complex Traits--Harald H.H. Göring (208-230)
12 Overview Thoughts on Genetics: Walking the Line Between Denial and Dreamland, or Genes Are Involved in Everything, But Not Everything Is "Genetic"--Kenneth M. Weiss (231-248)
Part III: New Ways of Collecting, Applying, and Thinking About Data (249-250)
13 Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based Research--Stacy Tessler Lindau and Thomas W. McDade (251-277)
14 Nutrigenomics--John Milner, Elaine B. Trujillo, Christine M. Kaefer, and Sharon Ross (278-303)
15 Genoeconomics--Daniel J. Benjamin, Christopher F. Chabris, Edward L. Glaeser, Vilmundur Gudnason, Tamara B. Harris, David I. Laibson, Lenore J. Launer, and Shaun Purcell (304-335)
16 Mendelian Randomization: Genetic Variants as Instruments for Strengthening Causal Inference in Observational Studies--George Davey Smith and Shah Ebrahim (336-366)
17 Multilevel Investigations: Conceptual Mappings and Perspectives--John T. Cacioppo, Gary G. Berntson, and Ronald A. Thisted (367-380)
18 Genomics and Beyond: Improving Understanding and Analysis of Human (Social, Economic, and Demographic) Behavior--John Hobcraft (381-400)
Appendix: Biographical Sketches of Contributors (401-414)