|
1
|
Guariguata L, Whiting DR, Hambleton I,
Beagley J, Linnenkamp U and Shaw JE: Global estimates of diabetes
prevalence for 2013 and projections for 2035. Diabetes Res Clin
Pract. 103:137–149. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Roglic G, Unwin N, Bennett PH, Mathers C,
Tuomilehto J, Nag S, Connolly V and King H: The burden of mortality
attributable to diabetes: Realistic estimates for the year 2000.
Diabetes Care. 28:2130–2135. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Murea M, Ma L and Freedman BI: Genetic and
environmental factors associated with type 2 diabetes and diabetic
vascular complications. Rev Diabet Stud. 9:6–22. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Wilmot E and Idris I: Early onset type 2
diabetes: Risk factors, clinical impact and management. Ther Adv
Chronic Dis. 5:234–244. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Bridger T: Childhood obesity and
cardiovascular disease. Paediatr Child Health. 14:177–182. 2009.
View Article : Google Scholar :
|
|
6
|
Fajans SS, Bell GI and Polonsky KS:
Molecular mechanisms and clinical pathophysiology of maturity-onset
diabetes of the young. N Engl J Med. 345:971–980. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Sanghera DK and Blackett PR: Type 2
diabetes genetics: Beyond GWAS. J Diabetes Metab. 3:69482012.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Lee S, Abecasis GR, Boehnke M and Lin X:
Rare-variant association analysis: Study designs and statistical
tests. Am J Hum Genet. 95:5–23. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Morris AP, Voight BF, Teslovich TM,
Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H,
Grallert H, Mahajan A, et al: Large-scale association analysis
provides insights into the genetic architecture and pathophysiology
of type 2 diabetes. Nat Genet. 44:981–990. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Cirulli ET and Goldstein DB: Uncovering
the roles of rare variants in common disease through whole-genome
sequencing. Nat Rev Genet. 11:415–425. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Lohmueller KE, Sparsø T, Li Q, Andersson
E, Korneliussen T, Albrechtsen A, Banasik K, Grarup N,
Hallgrimsdottir I, Kiil K, et al: Whole-exome sequencing of 2,000
Danish individuals and the role of rare coding variants in type 2
diabetes. Am J Hum Genet. 93:1072–1086. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Kwak SH, Jung CH, Ahn CH, Park J, Chae J,
Jung HS, Cho YM, Lee DH, Kim JI and Park KS: Clinical whole exome
sequencing in early onset diabetes patients. Diabetes Res Clin
Pract. 122:71–77. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Plengvidhya N, Boonyasrisawat W,
Chongjaroen N, Jungtrakoon P, Sriussadaporn S, Vannaseang S,
Banchuin N and Yenchitsomanus PT: Mutations of maturity-onset
diabetes of the young (MODY) genes in Thais with early-onset type 2
diabetes mellitus. Clin Endocrinol (Oxf). 70:847–853. 2009.
View Article : Google Scholar
|
|
14
|
Standards of medical care in
diabetes-2017: Summary of revisions. Diabetes care. 40:S4–S5. 2017.
View Article : Google Scholar
|
|
15
|
Li H and Durbin R: Fast and accurate short
read alignment with Burrows-Wheeler transform. Bioinformatics.
25:1754–1760. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Li H, Handsaker B, Wysoker A, Fennell T,
Ruan J, Homer N, Marth G, Abecasis G and Durbin R; 1000 Genome
Project Data Processing Subgroup: The sequence alignment/map format
and SAMtools. Bioinformatics. 25:2078–2079. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
McKenna A, Hanna M, Banks E, Sivachenko A,
Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly
M and DePristo MA: The genome analysis toolkit: A mapreduce
framework for analyzing next-generation DNA sequencing data. Genome
Res. 20:1297–1303. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Dong C, Wei P, Jian X, Gibbs R, Boerwinkle
E, Wang K and Liu X: Comparison and integration of deleteriousness
prediction methods for nonsynonymous SNVs in whole exome sequencing
studies. Hum Mol Genet. 24:2125–2137. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Seelow D, Schwarz JM and Schuelke M:
GeneDistiller-distilling candidate genes from linkage intervals.
PloS One. 3:e38742008. View Article : Google Scholar
|
|
20
|
Pires DE, Ascher DB and Blundell TL: DUET:
A server for predicting effects of mutations on protein stability
using an integrated computational approach. Nucleic Acids Res.
42:W314–W319. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Svärd M, Biterova EI, Bourhis JM and Guy
JE: Crystal structure of the human co-chaperone P58(IPK). PLoS One.
6:e223372011. View Article : Google Scholar
|
|
22
|
Berman HM, Westbrook J, Feng Z, Gilliland
G, Bhat TN, Weissig H, Shindyalov IN and Bourne PE: The protein
data bank. Nucleic Acids Res. 28:235–242. 2000. View Article : Google Scholar
|
|
23
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(−delta delta C(T)) method. Methods. 25:402–408. 2001.
View Article : Google Scholar
|
|
24
|
Synofzik M, Haack TB, Kopajtich R, Gorza
M, Rapaport D, Greiner M, Schönfeld C, Freiberg C, Schorr S, Holl
RW, et al: Absence of BiP co-chaperone DNAJC3 causes diabetes
mellitus and multisystemic neurodegeneration. Am J Hum Genet.
95:689–697. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Yamagata K, Oda N, Kaisaki PJ, Menzel S,
Furuta H, Vaxillaire M, Southam L, Cox RD, Lathrop GM, Boriraj VV,
et al: Mutations in the hepatocyte nuclear factor-1alpha gene in
maturity-onset diabetes of the young (MODY3). Nature. 384:455–458.
1996. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Stoffers DA, Ferrer J, Clarke WL and
Habener JF: Early-onset type-II diabetes mellitus (MODY4) linked to
IPF1. Nat Genet. 17:138–139. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Manolio TA, Collins FS, Cox NJ, Goldstein
DB, Hindorff LA, Hunter DJ, McCarthy MI, Ramos EM, Cardon LR,
Chakravarti A, et al: Finding the missing heritability of complex
diseases. Nature. 461:747–753. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Ladiges WC, Knoblaugh SE, Morton JF, Korth
MJ, Sopher BL, Baskin CR, MacAuley A, Goodman AG, LeBoeuf RC and
Katze MG: Pancreatic β-cell failure and diabetes in mice with a
deletion mutation of the endoplasmic reticulum molecular chaperone
gene P58IPK. Diabetes. 54:1074–1081. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Mao C, Dong D, Little E, Luo S and Lee AS:
Transgenic mouse model for monitoring endoplasmic reticulum stress
in vivo. Nat Med. 10:1013–1014. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Iwawaki T, Akai R, Kohno K and Miura M: A
transgenic mouse model for monitoring endoplasmic reticulum stress.
Nat Med. 10:98–102. 2004. View
Article : Google Scholar : PubMed/NCBI
|
|
31
|
Ron D: Translational control in the
endoplasmic reticulum stress response. J Clin Invest.
110:1383–1388. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Zhang K and Kaufman RJ: Signaling the
unfolded protein response from the endoplasmic reticulum. J Biol
Chem. 279:25935–25938. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Manié SN, Lebeau J and Chevet E: Cellular
mechanisms of endoplasmic reticulum stress signaling in health and
disease. 3. Orchestrating the unfolded protein response in
oncogenesis: An update. Am J Physiol Cell Physiol. 307:C901–C907.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Huang CJ, Lin CY, Haataja L, Gurlo T,
Butler AE, Rizza RA and Butler PC: High expression rates of human
islet amyloid polypeptide induce endoplasmic reticulum stress
mediated β-cell apoptosis, a characteristic of humans with type 2
but not type 1 diabetes. Diabetes. 56:2016–2027. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Laybutt DR, Preston AM, Akerfeldt MC,
Kench JG, Busch AK, Biankin AV and Biden TJ: Endoplasmic reticulum
stress contributes to β-cell apoptosis in type 2 diabetes.
Diabetologia. 50:752–763. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
van Huizen R, Martindale JL, Gorospe M and
Holbrook NJ: P58IPK, a novel endoplasmic reticulum stress-inducible
protein and potential negative regulator of eIF2alpha signaling. J
Biol Chem. 278:15558–15564. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Yan W, Frank CL, Korth MJ, Sopher BL,
Novoa I, Ron D and Katze MG: Control of PERK eIF2alpha kinase
activity by the endoplasmic reticulum stress-induced molecular
chaperone P58IPK. Proc Natl Acad Sci USA. 99:15920–15925. 2002.
View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Han J, Song B, Kim J, Kodali VK, Pottekat
A, Wang M, Hassler J, Wang S, Pennathur S, Back SH, et al:
Antioxidants complement the requirement for protein chaperone
function to maintain β-cell function and glucose homeostasis.
Diabetes. 64:2892–2904. 2015. View Article : Google Scholar : PubMed/NCBI
|
