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Behavior Genetics: From Heritability to GWAS and Back Again

Session Information

Investigations of the genetic underpinnings of human behavior are advancing rapidly. Before, twin and family studies assessed the influence of genetic differences on behavioral traits, such as intelligence, depression, and schizophrenia. Decades of quantitative genetics evinced one provocative-yet-indisputable empirical fact: the more genetically similar, the more phenotypically similar. It eventually became the First Law of Behavior Genetics: all behavioral traits are heritable. But what does it mean for a trait to be heritable? The advent of fast and cheap DNA sequencing technology provides new approaches to answering this old question. Genome Wide Association Studies flag small genetic differences — known as Single Nucleotide Polymorphisms — as statistically associated with behavioral differences. Polygenic Risk Scores allow researchers to estimate the quantity of genetic differences relevant to specific traits. Genome Complex Trait Analysis allows researchers to calculate a new 'molecular heritability' estimate, which is grounded strictly in DNA differences. The field of behavior genetics, which started somewhere with quantitative heritability, has now returned back to a new and poorly understood, 'molecular heritability'. This symposium proposal brings philosophers, biologists, and behavior geneticists together to reassess the philosophical landscape of human behavior genetics, in light of the latest theoretical and technological advancements.

03 Nov 2018 09:00 AM - 11:45 AM(America/Los_Angeles)
Venue : Virginia (Fourth Floor Union Street Tower)
20181103T0900 20181103T1145 America/Los_Angeles Behavior Genetics: From Heritability to GWAS and Back Again

Investigations of the genetic underpinnings of human behavior are advancing rapidly. Before, twin and family studies assessed the influence of genetic differences on behavioral traits, such as intelligence, depression, and schizophrenia. Decades of quantitative genetics evinced one provocative-yet-indisputable empirical fact: the more genetically similar, the more phenotypically similar. It eventually became the First Law of Behavior Genetics: all behavioral traits are heritable. But what does it mean for a trait to be heritable? The advent of fast and cheap DNA sequencing technology provides new approaches to answering this old question. Genome Wide Association Studies flag small genetic differences — known as Single Nucleotide Polymorphisms — as statistically associated with behavioral differences. Polygenic Risk Scores allow researchers to estimate the quantity of genetic differences relevant to specific traits. Genome Complex Trait Analysis allows researchers to calculate a new 'molecular heritability' estimate, which is grounded strictly in DNA differences. The field of behavior genetics, which started somewhere with quantitative heritability, has now returned back to a new and poorly understood, 'molecular heritability'. This symposium proposal brings philosophers, biologists, and behavior geneticists together to reassess the philosophical landscape of human behavior genetics, in light of the latest theoretical and technological advancements.

Virginia (Fourth Floor Union Street Tower) PSA2018: The 26th Biennial Meeting of the Philosophy of Science Association office@philsci.org

Presentations

Three Legs of the Missing Heritability Problem

Philosophy of Science 09:00 AM - 09:20 AM (America/Los_Angeles) 2018/11/03 16:00:00 UTC - 2018/11/03 16:20:00 UTC
Lucas Matthews (University of Virginia), Eric Turkheimer (University of Virginia)
Behavior genetics is advancing rapidly. Quantitative genetics evinced one provocative-yet-indisputable empirical fact: the more genetically similar, the more phenotypically similar. It became the First Law of Behavior Genetics: everything is heritable. The advent of fast and cheap DNA sequencing technology provides new approaches to old questions. Genome Wide Association Studies flag small genetic differences, as statistically associated with behavioral differences. Polygenic Risk Scores allow estimates of the quantity of genetic differences relevant to traits. Genome Complex Trait Analysis permits heritability estimates that are grounded in DNA differences. Thus, behavior genetics has returned to a new and poorly understood 'molecular heritability'.
Presenters Lucas Matthews
University Of Virginia
Co-Authors
ET
Eric Turkheimer
University Of Virginia

Causation in Quantitative and Molecular Genetics

Philosophy of Science 09:20 AM - 09:40 AM (America/Los_Angeles) 2018/11/03 16:20:00 UTC - 2018/11/03 16:40:00 UTC
Kate Lynch (University of Sydney), Pierrick Bourrat (Macquarie University)
Heritability and GWAS are often interpreted as measures of degree of genetic causal influence. Yet the exact nature of these causal relationships is often underspecified, and sometimes disputed. As there are multiple ways in which the gene concept is understood, we argue that the causal relationships in heritability and GWAS's differ. This paper takes conceptual differences as a starting point, and then uses an interventionist causal framework to understand the different kinds of causal relationships underpinning both heritability studies and GWAS for complex human traits.
Presenters
PB
Pierrick Bourrat
Macquarie University
Co-Authors
KL
Kate Lynch
University Of Sydney

Tens of Thousands of Associations but No Causal Mechanisms Revealed: Mismatches Between GWAS and Developmental Molecular Biology

Philosophy of Science 09:40 AM - 10:00 AM (America/Los_Angeles) 2018/11/03 16:40:00 UTC - 2018/11/03 17:00:00 UTC
Stephen M. Downes (University of Utah)
I argue that we should not be surprised at the disparity between the claimed success of Genome Wide Association Studies (GWAS) and lack of success at isolating underlying genetic mechanisms for the relevant human traits. I proceed by examining the mismatch in methods and assumptions between GWAS and related techniques on the one hand and developmental molecular biology on the other.
Presenters
SD
Stephen M. Downes
University Of Utah

The Coherence Problems of GWAS

Philosophy of Science 10:15 AM - 10:45 AM (America/Los_Angeles) 2018/11/03 17:15:00 UTC - 2018/11/03 17:45:00 UTC
Carl Craver (Washington University)
Critics of GWAS in behavioral and psychiatric genetics charge that the method faces a coherence problem: that the genes it is certain to identify as risk factors for a disorder or trait will fail to point to any coherent etiological mechanism. As the critics express it, the coherence problem is not one problem but many. My goal is to disambiguate the different potential sources of incoherence in GWAS findings and consider how the tools of network analysis might be used to resolve some of them.
Presenters
CC
Carl Craver
Washington University In St. Louis

All of Us Are Getting Scammed: A Bait-And-Switch at the Heart of the Most Expensive Genetics Study in Decades

Philosophy of Science 10:45 AM - 11:15 AM (America/Los_Angeles) 2018/11/03 17:45:00 UTC - 2018/11/03 18:15:00 UTC
James Tabery (University of Utah)
The All of Us Research Project was launched in 2016 by the U.S. National Institutes of Health. The ambitious plan of the project is to enroll 1,000,000 Americans in a long term study of the causes of health and disease in the U.S. The program is designed as a very large genetics study, and the explicit goal of the program is to prevent health disparities in the United States. I argue the design and the stated goal of the program do not align. All of Us participants and American taxpayers are being promised something that the study cannot deliver.
Presenters
JT
Jim Tabery
University Of Utah

Evaluating Results from Genome-Wide Association Studies Under Alternative Theories of Causation

Philosophy of Science 11:15 AM - 11:45 AM (America/Los_Angeles) 2018/11/03 18:15:00 UTC - 2018/11/03 18:45:00 UTC
Paige Harden (University of Texas, Austin)
Genome-wide association studies (GWAS) perform “hypothesis-free” statistical tests of the correlation between millions of genetic variants and a measured phenotype, such as height, body mass index, psychiatric disease, sexual orientation, or educational attainment. The value of GWAS for discovering the causes of human behavior and disease remains hotly debated. In this presentation, I suggest that these debates partly stem from conflict between different models of causation. I consider how GWAS results map to the counterfactual “potential outcomes” framework for causal inference that is frequently employed within the social sciences, in contrast to the emphasis on mechanism in the biological sciences.
Presenters Paige Harden
University Of Texas, Austin
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University of Virginia
University of Virginia
Macquarie University
University of Utah
Washington University in St. Louis
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