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Selection of Influential Genetic Markers Among a Large Number of Candidates Based on Effect Estimation Rather than Hypothesis Testing: An Approach for Genome-Wide Association Studies.

Strömberg, Ulf (author)
Lund University,Lunds universitet,Avdelningen för arbets- och miljömedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Division of Occupational and Environmental Medicine, Lund University,Department of Laboratory Medicine,Faculty of Medicine
Björk, Jonas (author)
Lund University,Lunds universitet,Avdelningen för arbets- och miljömedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Division of Occupational and Environmental Medicine, Lund University,Department of Laboratory Medicine,Faculty of Medicine
Broberg Palmgren, Karin (author)
Lund University,Lunds universitet,Avdelningen för arbets- och miljömedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Division of Occupational and Environmental Medicine, Lund University,Department of Laboratory Medicine,Faculty of Medicine
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Mertens, Fredrik (author)
Lund University,Lunds universitet,Avdelningen för klinisk genetik,Institutionen för laboratoriemedicin,Medicinska fakulteten,Division of Clinical Genetics,Department of Laboratory Medicine,Faculty of Medicine
Vineis, Paolo (author)
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 (creator_code:org_t)
2008
2008
English.
In: Epidemiology. - 1531-5487. ; 19, s. 302-308
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In epidemiologic studies on direct genetic associations, hypothesis testing is primarily considered for evaluating the effects of each candidate genetic marker, eg, single nucleotide polymorphisms. To help investigators protect themselves from over-interpreting statistically significant findings that are not likely to signify a true effect-a problem connected to multiple comparisons-consideration of the false-positive report probability has been proposed. There have also been arguments advocating estimation of effect size rather than hypothesis testing (P value). Here, we propose an estimation-based approach that offers an attractive alternative to the test-based false-positive report probability, when the task is to select promising genetic markers for further analyses. We discuss the potential of this estimation-based approach for genome-wide association studies.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

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Strömberg, Ulf
Björk, Jonas
Broberg Palmgren ...
Mertens, Fredrik
Vineis, Paolo
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Health Sciences
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Epidemiology
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Lund University

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