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1 zheimer's disease: inseparable partners in a multifactorial disease.
2 ence for the role of rare variants in common multifactorial disease.
3 wn about the mechanisms driving this complex multifactorial disease.
4 enomic variants underlying susceptibility to multifactorial disease.
5 s to compute the probability of developing a multifactorial disease.
6 interaction associated with a common complex multifactorial disease.
7 opathic calcium oxalate stone formation is a multifactorial disease.
8 d be used to address the polygenic nature of multifactorial diseases.
9 orn errors of metabolism and the more common multifactorial diseases.
10 etic variants involved in complex traits and multifactorial diseases.
11 ic disease or are incriminated in polygenic, multifactorial diseases.
12 genetic variants associated with the risk of multifactorial diseases.
13 ogenesis, evolution, and outcomes of complex multifactorial diseases.
14 genetic architecture of other oligogenic and multifactorial diseases.
15 estation of complex traits including common, multifactorial diseases.
16 al validity of predictive testing for common multifactorial diseases.
17 ists will be resolving complex polygenic and multifactorial diseases.
21 agenome; and the role of such viral flora in multifactorial diseases and also, possibly, in health.
22 ls, allow us to dissect the genetic basis of multifactorial diseases and to determine the most suitab
25 l DNA (mtDNA) has been linked to a number of multifactorial diseases, but there is currently no tool
34 mining the genetic bases of the more common "multifactorial" diseases, however, presents a major chal
38 monogenic neurological disorders and complex multifactorial diseases, including Alzheimer's disease.
40 naling family is a key player in genetic and multifactorial diseases, including hereditary hemorrhagi
41 apply this approach to venous thrombosis, a multifactorial disease influenced by multiple genetic an
42 though the complexity inherent to polygenic, multifactorial diseases is challenging, several new insi
43 We argue that disease prediction for common multifactorial diseases is greatly improved by consideri
46 mouse model for the inflammation-associated multifactorial disease of allogeneic bone marrow transpl
48 s to unravel complex genetic traits, such as multifactorial disease or drug response, over the next f
50 Chronic rhinosinusitis (CRS) is a prevalent multifactorial disease process in which bacteria are bel
53 of sizable magnitude, whereas in many common multifactorial diseases, such as diabetes, obesity, and
55 ated macular degeneration (AMD) is a complex multifactorial disease that affects the central region o
56 logic risk factor for osteoarthritis (OA), a multifactorial disease that is characterized by articula
58 searchers mistakenly consider caries to be a multifactorial disease; they also concentrate mainly on
60 the progression or the development of these multifactorial diseases through diet is an emerging and
61 st genome-wide methylation studies (EWAS) of multifactorial disease traits use targeted arrays or enr
62 FD is a means for simplifying the search for multifactorial disease triggers, and may be helpful in p
63 e genetic tests improves the prediction of a multifactorial disease, we compute likelihood ratios by
65 ation of true genetic associations in common multifactorial disease will require studies comprising t
67 led novel loci for type 1 diabetes, a common multifactorial disease with a strong genetic component.
70 Age-related macular degeneration (AMD) is a multifactorial disease with genetic and environmental fa
72 et's disease is generally considered to be a multifactorial disease with important genetic and enviro
74 Age-related macular degeneration (AMD), a multifactorial disease with variable phenotypic presenta
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