ライフサイエンスコーパス: genetic epidemiology

1 data for testing any multivariate method in genetic epidemiology.

2 ts, both of which are relevant to studies of genetic epidemiology.

3 the evolution of case-control studies and of genetic epidemiology.

4 est known meta-analysis published to date in genetic epidemiology.

5 lying the associations, a major challenge in genetic epidemiology.

6 pted to describe the mode of inheritance and genetic epidemiology.

7 control framework plays an important role in genetic epidemiology.

8 s share common characteristics with those of genetic epidemiology.

9 Meta-analysis is a vital tool in genetic epidemiology.

10 studies highlight the need to understand the genetic epidemiology.

11 entral concepts and topical issues in modern genetic epidemiology.

12 loys four major research paradigms: 1) basic genetic epidemiology, 2) advanced genetic epidemiology,

13 : 1) basic genetic epidemiology, 2) advanced genetic epidemiology, 3) gene finding methods, and 4) mo

14 erosclerotic Disease, Vascular Function, and Genetic Epidemiology (ADVANCE) study.

15 therosclerotic Disease VAscular functioN and genetiC Epidemiology (ADVANCE) Study.

16 Here I revisit the recent history of genetic epidemiology and argue for retaining statistical

17 and appraisal of published field synopses in genetic epidemiology and assessed their main findings an

18 Although many genetic epidemiology and biomarker studies have been con

19 Recent findings from genetic epidemiology and from genome-wide association st

20 monstrate the utility of Bayesian methods in genetic epidemiology and provide support for their appli

21 xciting new advances in understanding of the genetic epidemiology and treatment of HLA-B27-associated

22 ndividuals provide superlative resources for genetic, epidemiology and other biomedical research.

23 e Giardia genome, but their consequences for genetics, epidemiology and evolution remain unknown.

24 Building on new insights into the genetics, epidemiology and pathogenesis of Parkinson's d

25 Research from genetics, epidemiology, and cell biology all converge, s

26 d to improve our knowledge of the population genetics, epidemiology, and ecology of bacterial pathoge

27 dalities, anatomy and pathology, embryology, genetics, epidemiology, and imaging.

28 Examples are given from ecology, genetics, epidemiology, and immunology.

29 ogress in elaborating the molecular biology, genetics, epidemiology, and management of these inherite

30 in the elaboration of the molecular biology, genetics, epidemiology, and management of these prototyp

31 a public resource for information on cancer genetics, epidemiology, and pathology in genetically def

32 Standard techniques from genetic epidemiology are ill-suited to formally assess t

33 notypes for multiple complex traits in human genetic epidemiology as well as plant and livestock bree

34 Although genetic epidemiology, as a research field, is oriented t

35 ch has important implications for social and genetic epidemiology because it substantiates a particul

36 athways back to basic biological mechanisms, genetic epidemiology can also provide important etiologi

37 Genetic epidemiology can contribute to establishing the

38 the Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) studies.

39 Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland

40 the complex networks underlying multivariate genetic epidemiology, enabling the vast model space of g

41 oxidative stress-mediated injury, the use of genetic epidemiology for the study of oxidative stress-r

42 ditional (and much contemporary) research in genetic epidemiology has barely tapped the potential tha

43 Genetic epidemiology has greatly expanded its scope as a

44 e standard research approaches developed for genetic epidemiology, however, are not necessarily appro

45 lipsed candidate gene association studies in genetic epidemiology in providing robust, unbiased evide

46 It is our view that future genetic epidemiology inquiry will benefit greatly from s

47 s to incorporate the discipline of molecular/genetic epidemiology into the study of cancer prevention

48 candidate areas of interest, with molecular/genetic epidemiology investigations honing in on promisi

49 Genetic epidemiology is a hybrid discipline whose ultima

50 Genetic epidemiology is a rapidly expanding research fie

51 Genetic epidemiology is an alliance of the 2 fields that

52 multaneously invoke principles in population genetics, epidemiology, molecular biology and biostatist

53 ile the number of published epidemiology and genetic epidemiology multicenter studies increased by 8-

54 ed our method to the Continental Origins and Genetic Epidemiology Network (COGENT) African ancestry s

55 and black families of the NHLBI Hypertension Genetic Epidemiology Network (HyperGEN) study to identif

56 ograms from participants in the Hypertension Genetic Epidemiology Network (HyperGEN) study, a populat

57 In the Hypertension Genetic Epidemiology Network (HyperGEN) Study, a populat

58 As part of the Hypertension Genetic Epidemiology Network (HyperGEN) study, creatinin

59 ypertensive participants in the Hypertension Genetic Epidemiology Network (HyperGEN) Study.

60 analysis of fasting insulin in Hypertension Genetic Epidemiology Network families.

61 s [Women's Health Initiative (WHI), Maywood, Genetic Epidemiology Network of Arteriopathy (GENOA) and

62 ican-Americans and 10 427 Whites) and in the Genetic Epidemiology Network of Arteriopathy (GENOA) sib

63 cipated in the Family Blood Pressure Project Genetic Epidemiology Network of Arteriopathy (GENOA) stu

64 ed for hypertension collected as part of the Genetic Epidemiology Network of Arteriopathy (GENOA) stu

65 , Multi-Ethnic Study of Atherosclerosis, and Genetic Epidemiology Network of Arteriopathy studies, we

66 sters who did not using the dataset from the Genetic Epidemiology Network of Arteriopathy study, whic

67 In 822 African Americans from the Genetic Epidemiology Network of Arteriopathy, phase 2, s

68 our approach using exome-chip data from the Genetic Epidemiology Network of Arteriopathy.

69 this study of families participating in the Genetic Epidemiology Network of Salt Sensitivity (GenSal

70 offspring and/or parents in the Hypertension Genetic Epidemiology Network study were recruited from f

71 -tracking analysis on HyperGEN (Hypertension Genetic Epidemiology Network) study echocardiograms with

72 were collected within an examination of the genetic epidemiology of alcoholism.

73 to substantiate available information on the genetic epidemiology of AMD.

74 cribe the progress that has been made in the genetic epidemiology of AS, and in identifying the genes

75 ism and advance current understanding of the genetic epidemiology of autism spectrum conditions.

76 erein, we report on the current state of the genetic epidemiology of birth defects and comment on fut

77 Recent investigations into the genetic epidemiology of BRCA1 have revealed an unexpecte

78 We apply the Umediation package to the Genetic Epidemiology of Chronic Obstructive Pulmonary Di

79 omography densitometry data in the COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Di

80 al application of the tools for studying the genetic epidemiology of complex disease.

81 res in COPD Study) (n = 1,544) and COPDGene (Genetic Epidemiology of COPD) (n = 602) cohorts had 90 p

82 This study defined the genetic epidemiology of dengue viruses (DENV) in two piv

83 al, Amirian et al. present a report from the Genetic Epidemiology of Glioma International Consortium

84 , 2010-2013), a study being conducted by the Genetic Epidemiology of Glioma International Consortium

85 To address this challenge, the Genetic Epidemiology of Glioma International Consortium

86 asting protection to better characterize the genetic epidemiology of HIV-1.

87 er an overview of recent developments in the genetic epidemiology of knee and hip osteoarthritis, wit

88 The genetic epidemiology of late-onset idiopathic Parkinson'

89 cases and 219 cancer-free controls from the Genetic Epidemiology of Lung Cancer Consortium (GELCC) c

90 of relevant data from primary studies of the genetic epidemiology of major depression.

91 ineurs (n = 1,212) from the population-based Genetic Epidemiology of Migraine study.

92 Arab-Berber) from sites participating in the Genetic Epidemiology of Parkinson's Disease Consortium.

93 l replication (p</=0.05) using data from the Genetic Epidemiology of Responses to Antihypertensives (

94 and November 2005 that have investigated the genetic epidemiology of rheumatoid arthritis.

95 ion, and geographical locations to infer the genetic epidemiology of the epidemic in the United Kingd

96 his review, we discuss the current status of genetic epidemiology of the most common neurodegenerativ

97 ases, both from the Statistical Analysis for Genetic Epidemiology package (Case Western University, C

98 Genetic epidemiology provides overwhelming evidence that

99 Genetic epidemiology represents a hybrid of epidemiologi

100 y (GWAS) of alcohol consumption in the large Genetic Epidemiology Research in Adult Health and Aging

101 We applied it to the Genetic Epidemiology Research on Adult Health and Aging

102 itudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging

103 tic instrumental variable analyses using the Genetic Epidemiology Research Study on Adult Health and

104 t incremental step for clinical genomics and genetic epidemiology since it is the first haplotype mod

105 iation of Genetic Counsellors, International Genetic Epidemiology Society, and US National Society of

106 commentary, we describe 4 different eras of genetic epidemiology, spanning this evolution from theor

107 Recent genetic epidemiology studies of parkinsonism in twins an

108 Recent genetic epidemiology studies of some CVD risk factors ha

109 However, appropriately powered genetic epidemiology studies often require recruitment f

110 increased CRP production, but comprehensive genetic epidemiology studies provide no support for a pa

111 In modern genetic epidemiology studies, the association between th

112 he scientific value of large consortia-based genetic epidemiology studies.

113 he importance of careful stroke subtyping in genetic epidemiology studies.

114 growth is presented from the perspective of genetic epidemiology studies.

115 ordinated studies of human genome scans; (8) genetic epidemiology studies; (9) activities to foster k

116 2 diabetes, from the Veterans Administration Genetic Epidemiology Study (VAGES).

117 Evaluation of the risk of the same genetic epidemiology study by 31 IRBs ranged from minima

118 Review of a protocol for a multicenter genetic epidemiology study by local IRBs was highly vari

119 In a genetic epidemiology study conducted in July 2015, we sy

120 he Multi-Institutional Research in Alzheimer Genetic Epidemiology study in order to derive models of

121 Study, an ongoing multi-center family-based genetic epidemiology study of AD.

122 Genetic epidemiology study replication and functional as

123 onwealth University Experimental Research on Genetic Epidemiology) study collected data on 5278 patie

124 (Multi Institutional Research in Alzheimer's Genetic Epidemiology) Study, and from 168 AD cases, 336

125 SD, MDD, and the anxiety disorders including genetic epidemiology, the role of common genetic variati

126 d other advances will allow the potential of genetic epidemiology to be revealed over the next few ye

127 volution of genetic association studies from genetic epidemiology to contemporary large-scale genome-

128 netic diversity and exploit the potential of genetic epidemiology to identify important variants, mul

129 Multidisciplinary approaches integrating genetic epidemiology to systems biology will be required

130 lished in 2002 describing the basic tools of genetic epidemiology used to study nonsyndromic structur

131 Rodriguez et al. have applied genetic epidemiology using predetermined phenotype data

132 approaches involving murine models and human genetic epidemiology, we show here the importance of the

133 As part of a Human Genetic Epidemiology workshop convened by the Centers fo