Identification of Genetic Variation Influencing Metformin Response in a Multiancestry Genome-Wide Association Study in the Diabetes Prevention Program (DPP)

Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards...

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Published inDiabetes (New York, N.Y.) Vol. 72; no. 8; pp. 1161 - 1172
Main Authors Li, Josephine H, Perry, James A, Jablonski, Kathleen A, Srinivasan, Shylaja, Chen, Ling, Todd, Jennifer N, Harden, Maegan, Mercader, Josep M, Pan, Qing, Dawed, Adem Y, Yee, Sook Wah, Pearson, Ewan R, Giacomini, Kathleen M, Giri, Ayush, Hung, Adriana M, Xiao, Shujie, Williams, L Keoki, Franks, Paul W, Hanson, Robert L, Kahn, Steven E, Knowler, William C, Pollin, Toni I, Florez, Jose C
Format Journal Article
LanguageEnglish
Published United States American Diabetes Association 01.08.2023
Subjects
Alleles
Antidiabetics
Clinical Medicine
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - drug therapy
Diabetes Mellitus, Type 2 - genetics
Diabetes Mellitus, Type 2 - prevention & control
Endocrinology and Diabetes
Endokrinologi och diabetes
Gene frequency
Genetic diversity
Genetic Variation
Genetics/Genomes/Proteomics/Metabolomics
Genome-wide association studies
Genome-Wide Association Study
Genomes
Hemoglobin
Humans
Klinisk medicin
Medical and Health Sciences
Medicin och hälsovetenskap
Metformin
Metformin - therapeutic use
Polymorphism, Single Nucleotide
Prediabetic State - drug therapy
Prevention programs
Online AccessGet full text

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Abstract Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10-9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10-12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = -7.55 [95% CI -9.88, -5.22]; P = 3.2 × 10-10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10-4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
AbstractList Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10−9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10−12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = −7.55 [95% CI −9.88, −5.22]; P = 3.2 × 10−10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10−4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits ( P < 9 × 10 −9 ). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF] AFR = 0.07; MAF EUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10 −12 ). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = −7.55 [95% CI −9.88, −5.22]; P = 3.2 × 10 −10 ) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [ P (G×T) < 1.0 × 10 −4 ]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been repli-cated in the Diabetes Prevention Program (DPP). To as-sess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal compo-nents. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes inci-dence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 1029). In the MET arm, rs144322333 near ENOSF1 (minor al-lele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, b = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10212). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, b = 27.55 [95% CI 29.88, 25.22]; P = 3.2 × 10210) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 1024 ]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10-9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10-12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = -7.55 [95% CI -9.88, -5.22]; P = 3.2 × 10-10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10-4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10-9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10-12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = -7.55 [95% CI -9.88, -5.22]; P = 3.2 × 10-10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10-4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10-9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10-12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = -7.55 [95% CI -9.88, -5.22]; P = 3.2 × 10-10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10-4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Author Hanson, Robert L
Li, Josephine H
Mercader, Josep M
Pan, Qing
Pollin, Toni I
Hung, Adriana M
Dawed, Adem Y
Kahn, Steven E
Todd, Jennifer N
Pearson, Ewan R
Giacomini, Kathleen M
Xiao, Shujie
Williams, L Keoki
Harden, Maegan
Knowler, William C
Perry, James A
Florez, Jose C
Franks, Paul W
Jablonski, Kathleen A
Srinivasan, Shylaja
Yee, Sook Wah
Chen, Ling
Giri, Ayush
AuthorAffiliation 8 Division of Endocrinology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA
11 Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN
4 Department of Medicine, Harvard Medical School, Boston, MA
12 Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
9 Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K
15 Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
1 Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
6 Department of Epidemiology and Biostatistics, George Washington University Biostatistics Center, Washington, DC
10 Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
13 Center for Individualized and Genomic
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Cites_doi 10.1007/s00125-018-4729-5
10.1056/NEJMoa1109333
10.4103/ijem.IJEM_225_20
10.1126/science.aaz1776
10.2105/AJPH.92.9.1485
10.2337/diabetes.54.8.2404
10.1038/ng.3632
10.1038/sj.hdy.6800717
10.1016/j.celrep.2021.109807
10.1056/NEJMoa066224
10.1056/NEJMoa012512
10.1093/jb/mvaa013
10.1038/s41588-021-00913-z
10.1214/aoms/1177705900
10.1016/S2213-8587(14)70050-6
10.1038/ncomms10880
10.2337/diacare.22.4.623
10.1093/bioinformatics/bts610
10.2337/dc21-S009
10.1002/cpt.2349
10.2337/db17-1164
10.1371/journal.pgen.1000529
10.1038/ng.735
10.2337/dc06-2010
10.1210/jc.2014-1539
10.3389/fphar.2021.644342
10.2337/diacare.23.11.1619
10.1038/nmeth.1785
10.2337/dc11-2301
10.1002/dmrr.3158
10.1038/nature15393
ContentType Journal Article
Contributor Alexander, Teresa
Wilson, Charlton
Chavez, Marcella
Mills, Margaret
Poirier, Catherine S
Gadde, Kishore M
Grassa, Elaine
Sarkin, Andrew J
Katzir, Naomi
Dolgoff, Jennifer
Gibbs, Peggy
Baker-Ladao, Narleen K
Shields, Thomas
Burge, Mark R
Carter, Caitlin E
Patel, Avnisha
Lovejoy, Jennifer C
Szerdi Janesch, Simona
Grimes, Kristina L
Farago, Martha
Saab, Patrice
Montgomery, Brenda K
Ripley, Valerie
Zonszein, Joel
Cohn, Holly
Murphy, Mary E
Harrier, Susan
Franklin, Therese
Gao, Yuping
Behrends, Catherine
O'Kelly Phillips, Erin
Isaac, Juan
Haffner, Lori
Watson, Karol
Charleston, Jeanne B
Mucik, Pamela
Garfield, Sanford
Smith, Lisa L
Glass, Martia
Lipkin, Edward W
Schinleber, Pamela A
Palermo, Lisa
Salazar, Monica
Metzger, Boyd E
Ingraham, Louise E
Middelbeek, Roeland J W
Poirier, Steven
Ballonoff, Larry B
Lenz, Dione
Leander, Fernelle
Rosario Araneta, Maria
Matulik, Margaret J
Eberhardt, Barbara
Mendez, Jadell
Rautaharju, Pentti
Marcovina, Santica
Xapthalamous, Kathy
Larsen, Diane
Ruiz, Rosa
Akbar, Khan
de Groot, Mary
Ghahate, Jacqueline M
Budoff, Matth
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License 2023 by the American Diabetes Association.
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References 37471601 - Diabetes. 2023 Aug 1;72(8):1057-1059. doi: 10.2337/dbi22-0039
The Diabetes Prevention Program Research Group (2023072018562146800_B12) 1999; 22
GTEx Consortium (2023072018562146800_B22) 2020; 369
Tang (2023072018562146800_B27) 2020; 167
McInnes (2023072018562146800_B33) 2021; 110
Jia (2023072018562146800_B4) 2019; 35
Gogarten (2023072018562146800_B19) 2012; 28
Dixon (2023072018562146800_B20) 1960; 31
Rotroff (2023072018562146800_B10) 2018; 67
Florez (2023072018562146800_B11) 2012; 35
Zhou (2023072018562146800_B7) 2014; 2
Howie (2023072018562146800_B16) 2009; 5
Knowler (2023072018562146800_B14) 2002; 346
Acton (2023072018562146800_B29) 2002; 92
Võsa (2023072018562146800_B23) 2021; 53
1000 Genomes Project Consortium (2023072018562146800_B18) 2015; 526
Alonso (2023072018562146800_B24) 2021; 37
Kitabchi (2023072018562146800_B31) 2005; 54
Williams (2023072018562146800_B32) 2014; 99
Zhou (2023072018562146800_B8) 2011; 43
The Diabetes Prevention Program Research Group (2023072018562146800_B13) 2000; 23
Chawla (2023072018562146800_B3) 2020; 24
Davies (2023072018562146800_B2) 2018; 61
Zhou (2023072018562146800_B9) 2016; 48
Delaneau (2023072018562146800_B15) 2011; 9
American Diabetes Association (2023072018562146800_B1) 2021; 44
2023072018562146800_B17
Zeitler (2023072018562146800_B6) 2012; 366
Li (2023072018562146800_B21) 2005; 95
Li (2023072018562146800_B28) 2020; 44
Kahn (2023072018562146800_B5) 2006; 355
Sprowl (2023072018562146800_B25) 2016; 7
Uddin (2023072018562146800_B26) 2021; 12
Pavkov (2023072018562146800_B30) 2007; 30
References_xml – volume: 61
  start-page: 2461
  year: 2018
  ident: 2023072018562146800_B2
  article-title: Management of hyperglycaemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)
  publication-title: Diabetologia
  doi: 10.1007/s00125-018-4729-5
  contributor:
    fullname: Davies
– volume: 366
  start-page: 2247
  year: 2012
  ident: 2023072018562146800_B6
  article-title: A clinical trial to maintain glycemic control in youth with type 2 diabetes
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1109333
  contributor:
    fullname: Zeitler
– ident: 2023072018562146800_B17
– volume: 24
  start-page: 1
  year: 2020
  ident: 2023072018562146800_B3
  article-title: RSSDI-ESI clinical practice recommendations for the management of type 2 diabetes mellitus 2020
  publication-title: Indian J Endocrinol Metab
  doi: 10.4103/ijem.IJEM_225_20
  contributor:
    fullname: Chawla
– volume: 369
  start-page: 1318
  year: 2020
  ident: 2023072018562146800_B22
  article-title: The GTEx Consortium atlas of genetic regulatory effects across human tissues
  publication-title: Science
  doi: 10.1126/science.aaz1776
  contributor:
    fullname: GTEx Consortium
– volume: 92
  start-page: 1485
  year: 2002
  ident: 2023072018562146800_B29
  article-title: Trends in diabetes prevalence among American Indian and Alaska native children, adolescents, and young adults
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.92.9.1485
  contributor:
    fullname: Acton
– volume: 54
  start-page: 2404
  year: 2005
  ident: 2023072018562146800_B31
  article-title: Role of insulin secretion and sensitivity in the evolution of type 2 diabetes in the diabetes prevention program: effects of lifestyle intervention and metformin
  publication-title: Diabetes
  doi: 10.2337/diabetes.54.8.2404
  contributor:
    fullname: Kitabchi
– volume: 48
  start-page: 1055
  year: 2016
  ident: 2023072018562146800_B9
  article-title: Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin
  publication-title: Nat Genet
  doi: 10.1038/ng.3632
  contributor:
    fullname: Zhou
– volume: 95
  start-page: 221
  year: 2005
  ident: 2023072018562146800_B21
  article-title: Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix
  publication-title: Heredity
  doi: 10.1038/sj.hdy.6800717
  contributor:
    fullname: Li
– volume: 37
  start-page: 109807
  year: 2021
  ident: 2023072018562146800_B24
  article-title: TIGER: the gene expression regulatory variation landscape of human pancreatic islets
  publication-title: Cell Rep
  doi: 10.1016/j.celrep.2021.109807
  contributor:
    fullname: Alonso
– volume: 355
  start-page: 2427
  year: 2006
  ident: 2023072018562146800_B5
  article-title: Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa066224
  contributor:
    fullname: Kahn
– volume: 346
  start-page: 393
  year: 2002
  ident: 2023072018562146800_B14
  article-title: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa012512
  contributor:
    fullname: Knowler
– volume: 167
  start-page: 525
  year: 2020
  ident: 2023072018562146800_B27
  article-title: Downregulated long non-coding RNA LINC01093 in liver fibrosis promotes hepatocyte apoptosis via increasing ubiquitination of SIRT1
  publication-title: J Biochem
  doi: 10.1093/jb/mvaa013
  contributor:
    fullname: Tang
– volume: 44
  start-page: 2185
  year: 2020
  ident: 2023072018562146800_B28
  article-title: Bioinformatics analysis of LINC01554 and its co-expressed genes in hepatocellular carcinoma
  publication-title: Oncol Rep
  contributor:
    fullname: Li
– volume: 53
  start-page: 1300
  year: 2021
  ident: 2023072018562146800_B23
  article-title: Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
  publication-title: Nat Genet
  doi: 10.1038/s41588-021-00913-z
  contributor:
    fullname: Võsa
– volume: 31
  start-page: 385
  year: 1960
  ident: 2023072018562146800_B20
  article-title: Simplified estimation from censored normal samples
  publication-title: Ann Math Stat
  doi: 10.1214/aoms/1177705900
  contributor:
    fullname: Dixon
– volume: 2
  start-page: 481
  year: 2014
  ident: 2023072018562146800_B7
  article-title: Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
  publication-title: Lancet Diabetes Endocrinol
  doi: 10.1016/S2213-8587(14)70050-6
  contributor:
    fullname: Zhou
– volume: 7
  start-page: 10880
  year: 2016
  ident: 2023072018562146800_B25
  article-title: A phosphotyrosine switch regulates organic cation transporters
  publication-title: Nat Commun
  doi: 10.1038/ncomms10880
  contributor:
    fullname: Sprowl
– volume: 22
  start-page: 623
  year: 1999
  ident: 2023072018562146800_B12
  article-title: The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes
  publication-title: Diabetes Care
  doi: 10.2337/diacare.22.4.623
  contributor:
    fullname: The Diabetes Prevention Program Research Group
– volume: 28
  start-page: 3329
  year: 2012
  ident: 2023072018562146800_B19
  article-title: GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts610
  contributor:
    fullname: Gogarten
– volume: 44
  start-page: S111
  year: 2021
  ident: 2023072018562146800_B1
  article-title: 9. Pharmacologic approaches to glycemic treatment: Standards of Medical Care in Diabetes—2021
  publication-title: Diabetes Care
  doi: 10.2337/dc21-S009
  contributor:
    fullname: American Diabetes Association
– volume: 110
  start-page: 637
  year: 2021
  ident: 2023072018562146800_B33
  article-title: Genomewide association studies in pharmacogenomics
  publication-title: Clin Pharmacol Ther
  doi: 10.1002/cpt.2349
  contributor:
    fullname: McInnes
– volume: 67
  start-page: 1428
  year: 2018
  ident: 2023072018562146800_B10
  article-title: Genetic variants in CPA6 and PRPF31 are associated with variation in response to metformin in individuals with type 2 diabetes
  publication-title: Diabetes
  doi: 10.2337/db17-1164
  contributor:
    fullname: Rotroff
– volume: 5
  start-page: e1000529
  year: 2009
  ident: 2023072018562146800_B16
  article-title: A flexible and accurate genotype imputation method for the next generation of genome-wide association studies
  publication-title: PLoS Genet
  doi: 10.1371/journal.pgen.1000529
  contributor:
    fullname: Howie
– volume: 43
  start-page: 117
  year: 2011
  ident: 2023072018562146800_B8
  article-title: Common variants near ATM are associated with glycemic response to metformin in type 2 diabetes
  publication-title: Nat Genet
  doi: 10.1038/ng.735
  contributor:
    fullname: Zhou
– volume: 30
  start-page: 1758
  year: 2007
  ident: 2023072018562146800_B30
  article-title: Changing patterns of type 2 diabetes incidence among Pima Indians
  publication-title: Diabetes Care
  doi: 10.2337/dc06-2010
  contributor:
    fullname: Pavkov
– volume: 99
  start-page: 3160
  year: 2014
  ident: 2023072018562146800_B32
  article-title: Differing effects of metformin on glycemic control by race-ethnicity
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2014-1539
  contributor:
    fullname: Williams
– volume: 12
  start-page: 644342
  year: 2021
  ident: 2023072018562146800_B26
  article-title: Influence of YES1 kinase and tyrosine phosphorylation on the activity of OCT1
  publication-title: Front Pharmacol
  doi: 10.3389/fphar.2021.644342
  contributor:
    fullname: Uddin
– volume: 23
  start-page: 1619
  year: 2000
  ident: 2023072018562146800_B13
  article-title: The Diabetes Prevention Program: baseline characteristics of the randomized cohort
  publication-title: Diabetes Care
  doi: 10.2337/diacare.23.11.1619
  contributor:
    fullname: The Diabetes Prevention Program Research Group
– volume: 9
  start-page: 179
  year: 2011
  ident: 2023072018562146800_B15
  article-title: A linear complexity phasing method for thousands of genomes
  publication-title: Nat Methods
  doi: 10.1038/nmeth.1785
  contributor:
    fullname: Delaneau
– volume: 35
  start-page: 1864
  year: 2012
  ident: 2023072018562146800_B11
  article-title: The C allele of ATM rs11212617 does not associate with metformin response in the Diabetes Prevention Program
  publication-title: Diabetes Care
  doi: 10.2337/dc11-2301
  contributor:
    fullname: Florez
– volume: 35
  start-page: e3158
  year: 2019
  ident: 2023072018562146800_B4
  article-title: Standards of medical care for type 2 diabetes in China 2019
  publication-title: Diabetes Metab Res Rev
  doi: 10.1002/dmrr.3158
  contributor:
    fullname: Jia
– volume: 526
  start-page: 68
  year: 2015
  ident: 2023072018562146800_B18
  article-title: A global reference for human genetic variation
  publication-title: Nature
  doi: 10.1038/nature15393
  contributor:
    fullname: 1000 Genomes Project Consortium
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Snippet Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To...
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been repli-cated in the Diabetes Prevention Program (DPP)....
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SubjectTerms Alleles
Antidiabetics
Clinical Medicine
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - drug therapy
Diabetes Mellitus, Type 2 - genetics
Diabetes Mellitus, Type 2 - prevention & control
Endocrinology and Diabetes
Endokrinologi och diabetes
Gene frequency
Genetic diversity
Genetic Variation
Genetics/Genomes/Proteomics/Metabolomics
Genome-wide association studies
Genome-Wide Association Study
Genomes
Hemoglobin
Humans
Klinisk medicin
Medical and Health Sciences
Medicin och hälsovetenskap
Metformin
Metformin - therapeutic use
Polymorphism, Single Nucleotide
Prediabetic State - drug therapy
Prevention programs
Title Identification of Genetic Variation Influencing Metformin Response in a Multiancestry Genome-Wide Association Study in the Diabetes Prevention Program (DPP)
URI https://www.ncbi.nlm.nih.gov/pubmed/36525397
https://www.proquest.com/docview/2840653620/abstract/
https://www.proquest.com/docview/2755579220/abstract/
https://pubmed.ncbi.nlm.nih.gov/PMC10382652
https://lup.lub.lu.se/record/9c6b3577-af2a-4937-9e0d-3125bd080e0e
Volume 72
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