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Problems of reporting genetic associations with complex outcomes.

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Title: Problems of reporting genetic associations with complex outcomes.
Authors: Colhoun HM (AUTHOR), McKeigue PM (AUTHOR), Smith GD (AUTHOR), Colhoun, Helen M (AUTHOR), McKeigue, Paul M (AUTHOR), Davey Smith, George (AUTHOR)
Source: Lancet. 3/8/2003, Vol. 361 Issue 9360, p865-872. 8p.
Abstract: Inability to replicate many results has led to increasing scepticism about the value of simple association study designs for detection of genetic variants contributing to common complex traits. Much attention has been drawn to the problems that might, in theory, bedevil this approach, including confounding from population structure, misclassification of outcome, and allelic heterogeneity. Other researchers have argued that absence of replication may indicate true heterogeneity in gene-disease associations. We suggest that the most important factors underlying inability to replicate these associations are publication bias, failure to attribute results to chance, and inadequate sample sizes, problems that are all rectifiable. Without changes to present practice, we risk wastage of scientific effort and rejection of a potentially useful research strategy. [ABSTRACT FROM AUTHOR]
Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Problems of reporting genetic associations with complex outcomes.
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  Data: <searchLink fieldCode="AR" term="%22Colhoun+HM%22">Colhoun HM</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McKeigue+PM%22">McKeigue PM</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith+GD%22">Smith GD</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colhoun%2C+Helen+M%22">Colhoun, Helen M</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McKeigue%2C+Paul+M%22">McKeigue, Paul M</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davey+Smith%2C+George%22">Davey Smith, George</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 3/8/2003, Vol. 361 Issue 9360, p865-872. 8p.
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  Data: Inability to replicate many results has led to increasing scepticism about the value of simple association study designs for detection of genetic variants contributing to common complex traits. Much attention has been drawn to the problems that might, in theory, bedevil this approach, including confounding from population structure, misclassification of outcome, and allelic heterogeneity. Other researchers have argued that absence of replication may indicate true heterogeneity in gene-disease associations. We suggest that the most important factors underlying inability to replicate these associations are publication bias, failure to attribute results to chance, and inadequate sample sizes, problems that are all rectifiable. Without changes to present practice, we risk wastage of scientific effort and rejection of a potentially useful research strategy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 3/8/2003
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