PMID- 30935434
OWN - NLM
STAT- MEDLINE
DCOM- 20200512
LR  - 20200512
IS  - 1475-2662 (Electronic)
IS  - 0007-1145 (Linking)
VI  - 122
IP  - 1
DP  - 2019 Jul 14
TI  - Prediction model for the efficacy of folic acid therapy on hyperhomocysteinaemia 
      based on genetic risk score methods.
PG  - 39-46
LID - 10.1017/S0007114519000783 [doi]
AB  - No risk assessment tools for the efficacy of folic acid treatment for 
      hyperhomocysteinaemia (HHcy) have been developed. We aimed to use two common 
      genetic risk score (GRS) methods to construct prediction models for the efficacy 
      of folic acid therapy on HHcy, and the best gene-environment prediction model was 
      screened out. A prospective cohort study enrolling 638 HHcy patients was 
      performed. We used a logistic regression model to estimate the associations of 
      two GRS methods with the efficacy. Performances were compared using area under 
      the receiver operating characteristic curve (AUC). The simple count genetic risk 
      score (SC-GRS) and weighted genetic risk score (wGRS) were found to be 
      independently associated with the efficacy of folic acid treatment for HHcy. 
      Using the SC-GRS, per risk allele increased with a 1.46-fold increased failure 
      risk (P < 0.001) after adjustment for traditional risk factors, including age, 
      sex, BMI, smoking, alcohol consumption, history of diabetes, history of 
      hypertension, history of hyperlipidaemia, history of stroke and history of CHD. 
      When used the wGRS, the association was strengthened (OR = 2.08, P < 0.001). 
      Addition of the SC-GRS and wGRS to the traditional risk model significantly 
      improved the predictive ability by AUC (0.859). A precise gene-environment 
      predictive model with good performance was developed for predicting the treatment 
      failure rate of folic acid therapy for HHcy.
FAU - Du, Binghui
AU  - Du B
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
FAU - Zhang, Chengda
AU  - Zhang C
AD  - Department of Internal Medicine, Beaumont Hospital, Royal Oak, MI, USA.
FAU - Yue, Limin
AU  - Yue L
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
FAU - Ren, Bingnan
AU  - Ren B
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
FAU - Zhao, Qinglin
AU  - Zhao Q
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
FAU - Li, Dankang
AU  - Li D
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
FAU - He, Yuanhong
AU  - He Y
AD  - The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's 
      Republic of China.
FAU - Zhang, Weidong
AU  - Zhang W
AD  - Department of Epidemiology, School of Public Health, Zhengzhou University, 
      Zhengzhou, Henan, People's Republic of China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190628
PL  - England
TA  - Br J Nutr
JT  - The British journal of nutrition
JID - 0372547
RN  - 935E97BOY8 (Folic Acid)
SB  - IM
MH  - Adult
MH  - Aged
MH  - Female
MH  - Folic Acid/administration & dosage/*therapeutic use
MH  - Genetic Predisposition to Disease
MH  - Humans
MH  - Hyperhomocysteinemia/*drug therapy/*genetics
MH  - Male
MH  - Middle Aged
MH  - Models, Biological
MH  - Polymorphism, Single Nucleotide
OTO - NOTNLM
OT  - Efficacy
OT  - Folic acid
OT  - Genetic risk score
OT  - Hyperhomocysteinaemia
OT  - Risk prediction
EDAT- 2019/04/03 06:00
MHDA- 2020/05/13 06:00
CRDT- 2019/04/03 06:00
PHST- 2019/04/03 06:00 [pubmed]
PHST- 2020/05/13 06:00 [medline]
PHST- 2019/04/03 06:00 [entrez]
AID - S0007114519000783 [pii]
AID - 10.1017/S0007114519000783 [doi]
PST - ppublish
SO  - Br J Nutr. 2019 Jul 14;122(1):39-46. doi: 10.1017/S0007114519000783. Epub 2019 
      Jun 28.