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Kevin B. Jacobs

Researcher at Leidos

Publications -  39
Citations -  3178

Kevin B. Jacobs is an academic researcher from Leidos. The author has contributed to research in topics: Linkage (software) & Single-nucleotide polymorphism. The author has an hindex of 22, co-authored 39 publications receiving 2944 citations. Previous affiliations of Kevin B. Jacobs include Advanced Technology Center & Case Western Reserve University.

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FTO genotype is associated with phenotypic variability of body mass index

Jian Yang, +198 more
- 11 Oct 2012 - 
TL;DR: The authors performed a meta-analysis of genome-wide association studies of phenotypic variation using ∼170,000 samples on height and body mass index (BMI) in human populations.
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Haseman and Elston revisited.

Robert C. Elston, +3 more
- 01 Jul 2000 - 
TL;DR: Results of simulation studies for a continuous trait are presented that investigate Type I error and power and a similar general scheme can be used to study affected sib pairs, testing whether their identity by descent sharing probabilities are greater than would be expected in the absence of linkage.
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Anthropometric measures, body mass index, and pancreatic cancer: a pooled analysis from the Pancreatic Cancer Cohort Consortium (PanScan).

Alan A. Arslan, +53 more
- 10 May 2010 - 
TL;DR: Findings provide strong support for a positive association between BMI and pancreatic cancer risk and suggest centralized fat distribution may increase pancreatic cancers risk, especially in women.

Anthropometric Measures, Body Mass Index, and Pancreatic Cancer A Pooled Analysis From the Pancreatic Cancer Cohort Consortium (PanScan)

Alan A. Arslan, +53 more
TL;DR: In this article, the association between prediagnostic anthropometric measures and risk of pancreatic cancer was studied using unconditional logistic regression for cohortspecific quartiles of body mass index (BMI).
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Genome-Wide and Candidate Gene Association Study of Cigarette Smoking Behaviors

Neil E. Caporaso, +16 more
- 27 Feb 2009 - 
TL;DR: The contribution of common genetic variation to one or more established smoking behaviors was investigated in a joint analysis of two genome wide association studies (GWAS) performed as part of the Cancer Genetic Markers of Susceptibility project.