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Steven C. Moore
National Institutes of Health
136Publications
39H-index
6,376Citations
Publications 136
Newest
#1Jiaqi Huang (NIH: National Institutes of Health)H-Index: 3
#2Alison M. Mondul (UM: University of Michigan)H-Index: 33
Last.Demetrius Albanes (NIH: National Institutes of Health)H-Index: 102
view all 7 authors...
#1Wei Jie Seow (NUS: National University of Singapore)H-Index: 10
#2Xiao-Ou Shu (VUMC: Vanderbilt University Medical Center)H-Index: 96
Last.Steven C. Moore (NIH: National Institutes of Health)H-Index: 39
view all 21 authors...
Importance Chinese women have the highest rate of lung cancer among female never-smokers in the world, and the etiology is poorly understood. Objective To assess the association between metabolomics and lung cancer risk among never-smoking women. Design, Setting, and Participants This nested case-control study included 275 never-smoking female patients with lung cancer and 289 never-smoking cancer-free control participants from the prospective Shanghai Women’s Health Study recruited from Decembe...
#1Padma Maruvada (NIH: National Institutes of Health)H-Index: 17
#2Johanna W. Lampe (UW: University of Washington)H-Index: 51
Last.John Draper (Aberystwyth University)H-Index: 29
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#1Hua Zhao (University of Texas MD Anderson Cancer Center)H-Index: 26
#2Jie Shen (University of Texas MD Anderson Cancer Center)H-Index: 4
Last.Wong Ho Chow (University of Texas MD Anderson Cancer Center)H-Index: 26
view all 8 authors...
#1Hua Zhao (University of Texas MD Anderson Cancer Center)H-Index: 26
#2Jie Shen (University of Texas MD Anderson Cancer Center)H-Index: 4
Last.Debu Tripathy (University of Texas MD Anderson Cancer Center)H-Index: 43
view all 9 authors...
Purpose The metabolic etiology of breast cancer has been explored in the past several years using metabolomics. However, most of these studies only included non-Hispanic White individuals.
#1Su ChuH-Index: 4
Last.Jan KrumsiekH-Index: 3
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It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this review, we discuss (1) epidemiologic principles of study design, including selection of biospecimen source(s) and the implications of the timing of sample collection, in the context of a multi-omic invest...
#1Kathleen Mcclain (NIH: National Institutes of Health)
#2Cm Friendenreich (U of C: University of Calgary)H-Index: 70
Last.Steven C. Moore (NIH: National Institutes of Health)H-Index: 39
view all 6 authors...
#1Bing Yu (University of Texas Health Science Center at Houston)H-Index: 15
#2Krista A. ZanettiH-Index: 15
Last.Clary B. Clish (MIT: Massachusetts Institute of Technology)H-Index: 69
view all 73 authors...
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