Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes : The Million Veteran Program (MVP)
© 2024 by the American Diabetes Association..
OBJECTIVE: To characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates.
RESEARCH DESIGN AND METHODS: Characteristics typically associated with T1D were assessed in 109,594 Million Veteran Program participants with adult-onset diabetes, 2011-2021, who had T1D genetic risk scores (GRS) defined as low (0 to <45%), medium (45 to <90%), high (90 to <95%), or highest (≥95%).
RESULTS: T1D characteristics increased progressively with higher genetic risk (P < 0.001 for trend). A GRS ≥ 90% was more common with diabetes diagnoses before age 40 years, but 95% of those participants were diagnosed at age ≥40 years, and they resembled T2D in mean age (64.3 years) and BMI (32.3 kg/m2). Compared with the low risk group, the highest-risk group was more likely to have diabetic ketoacidosis (low 0.9% vs. highest GRS 3.7%), hypoglycemia prompting emergency visits (3.7% vs. 5.8%), outpatient plasma glucose <50 mg/dL (7.5% vs. 13.4%), a shorter median time to start insulin (3.5 vs. 1.4 years), use of a T1D diagnostic code (16.3% vs. 28.1%), low C-peptide levels if tested (1.8% vs. 32.4%), and glutamic acid decarboxylase antibodies (6.9% vs. 45.2%), all P < 0.001.
CONCLUSIONS: Characteristics associated with T1D were increased with higher genetic risk, and especially with the top 10% of risk. However, the age and BMI of those participants resemble people with T2D, and a substantial proportion did not have diagnostic testing or use of T1D diagnostic codes. T1D genetic screening could be used to aid identification of adult-onset T1D in settings in which T2D predominates.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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Enthalten in: |
Diabetes care - (2024) vom: 12. Apr. |
Sprache: |
Englisch |
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Beteiligte Personen: |
Yang, Peter K [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Revised 12.04.2024 published: Print-Electronic Citation Status Publisher |
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doi: |
10.2337/dc23-1927 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM370975804 |
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100 | 1 | |a Yang, Peter K |e verfasserin |4 aut | |
245 | 1 | 0 | |a Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes |b The Million Veteran Program (MVP) |
264 | 1 | |c 2024 | |
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500 | |a Date Revised 12.04.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status Publisher | ||
520 | |a © 2024 by the American Diabetes Association. | ||
520 | |a OBJECTIVE: To characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates | ||
520 | |a RESEARCH DESIGN AND METHODS: Characteristics typically associated with T1D were assessed in 109,594 Million Veteran Program participants with adult-onset diabetes, 2011-2021, who had T1D genetic risk scores (GRS) defined as low (0 to <45%), medium (45 to <90%), high (90 to <95%), or highest (≥95%) | ||
520 | |a RESULTS: T1D characteristics increased progressively with higher genetic risk (P < 0.001 for trend). A GRS ≥ 90% was more common with diabetes diagnoses before age 40 years, but 95% of those participants were diagnosed at age ≥40 years, and they resembled T2D in mean age (64.3 years) and BMI (32.3 kg/m2). Compared with the low risk group, the highest-risk group was more likely to have diabetic ketoacidosis (low 0.9% vs. highest GRS 3.7%), hypoglycemia prompting emergency visits (3.7% vs. 5.8%), outpatient plasma glucose <50 mg/dL (7.5% vs. 13.4%), a shorter median time to start insulin (3.5 vs. 1.4 years), use of a T1D diagnostic code (16.3% vs. 28.1%), low C-peptide levels if tested (1.8% vs. 32.4%), and glutamic acid decarboxylase antibodies (6.9% vs. 45.2%), all P < 0.001 | ||
520 | |a CONCLUSIONS: Characteristics associated with T1D were increased with higher genetic risk, and especially with the top 10% of risk. However, the age and BMI of those participants resemble people with T2D, and a substantial proportion did not have diagnostic testing or use of T1D diagnostic codes. T1D genetic screening could be used to aid identification of adult-onset T1D in settings in which T2D predominates | ||
650 | 4 | |a Journal Article | |
700 | 1 | |a Jackson, Sandra L |e verfasserin |4 aut | |
700 | 1 | |a Charest, Brian R |e verfasserin |4 aut | |
700 | 1 | |a Cheng, Yiling J |e verfasserin |4 aut | |
700 | 1 | |a Sun, Yan V |e verfasserin |4 aut | |
700 | 1 | |a Raghavan, Sridharan |e verfasserin |4 aut | |
700 | 1 | |a Litkowski, Elizabeth M |e verfasserin |4 aut | |
700 | 1 | |a Legvold, Brian T |e verfasserin |4 aut | |
700 | 1 | |a Rhee, Mary K |e verfasserin |4 aut | |
700 | 1 | |a Oram, Richard A |e verfasserin |4 aut | |
700 | 1 | |a Kuklina, Elena V |e verfasserin |4 aut | |
700 | 1 | |a Vujkovic, Marijana |e verfasserin |4 aut | |
700 | 1 | |a Reaven, Peter D |e verfasserin |4 aut | |
700 | 1 | |a Cho, Kelly |e verfasserin |4 aut | |
700 | 1 | |a Leong, Aaron |e verfasserin |4 aut | |
700 | 1 | |a Wilson, Peter W F |e verfasserin |4 aut | |
700 | 1 | |a Zhou, Jin |e verfasserin |4 aut | |
700 | 1 | |a Miller, Donald R |e verfasserin |4 aut | |
700 | 1 | |a Sharp, Seth A |e verfasserin |4 aut | |
700 | 1 | |a Staimez, Lisa R |e verfasserin |4 aut | |
700 | 1 | |a North, Kari E |e verfasserin |4 aut | |
700 | 1 | |a Highland, Heather M |e verfasserin |4 aut | |
700 | 1 | |a Phillips, Lawrence S |e verfasserin |4 aut | |
700 | 0 | |a Million Veteran Program |e verfasserin |4 aut | |
700 | 1 | |a Muralidhar, Sumitra |e investigator |4 oth | |
700 | 1 | |a Moser, Jennifer |e investigator |4 oth | |
700 | 1 | |a Deen, Jennifer E |e investigator |4 oth | |
700 | 1 | |a Gaziano, J Michael |e investigator |4 oth | |
700 | 1 | |a Beckham, Jean |e investigator |4 oth | |
700 | 1 | |a Chang, Kyong-Mi |e investigator |4 oth | |
700 | 1 | |a Tsao, Philip S |e investigator |4 oth | |
700 | 1 | |a Luoh, Shiuh-Wen |e investigator |4 oth | |
700 | 1 | |a Casas, Juan P |e investigator |4 oth | |
700 | 1 | |a Churby, Lori |e investigator |4 oth | |
700 | 1 | |a Whitbourne, Stacey B |e investigator |4 oth | |
700 | 1 | |a Brewer, Jessica V |e investigator |4 oth | |
700 | 1 | |a Brophy, Mary T |e investigator |4 oth | |
700 | 1 | |a Selva, Luis E |e investigator |4 oth | |
700 | 1 | |a Shayan, Shahpoor Alex |e investigator |4 oth | |
700 | 1 | |a Cho, Kelly |e investigator |4 oth | |
700 | 1 | |a Pyarajan, Saiju |e investigator |4 oth | |
700 | 1 | |a DuVall, Scott L |e investigator |4 oth | |
700 | 1 | |a Connor, Todd |e investigator |4 oth | |
700 | 1 | |a Argyres, Dean P |e investigator |4 oth | |
700 | 1 | |a Stephens, Brady |e investigator |4 oth | |
700 | 1 | |a Wilson, Peter |e investigator |4 oth | |
700 | 1 | |a McArdle, Rachel |e investigator |4 oth | |
700 | 1 | |a Dellitalia, Louis |e investigator |4 oth | |
700 | 1 | |a Mattocks, Kristin |e investigator |4 oth | |
700 | 1 | |a Harley, John |e investigator |4 oth | |
700 | 1 | |a Whittle, Jeffrey |e investigator |4 oth | |
700 | 1 | |a Jacono, Frank |e investigator |4 oth | |
700 | 1 | |a Beckham, Jean |e investigator |4 oth | |
700 | 1 | |a Wells, John |e investigator |4 oth | |
700 | 1 | |a Gutierrez, Salvador |e investigator |4 oth | |
700 | 1 | |a Alexander, Kathrina |e investigator |4 oth | |
700 | 1 | |a Hammer, Kimberly |e investigator |4 oth | |
700 | 1 | |a Norton, James |e investigator |4 oth | |
700 | 1 | |a Villareal, Gerardo |e investigator |4 oth | |
700 | 1 | |a Kinlay, Scott |e investigator |4 oth | |
700 | 1 | |a Xu, Junzhe |e investigator |4 oth | |
700 | 1 | |a Hamner, Mark |e investigator |4 oth | |
700 | 1 | |a Mathew, Roy |e investigator |4 oth | |
700 | 1 | |a Bhushan, Sujata |e investigator |4 oth | |
700 | 1 | |a Iruvanti, Pran |e investigator |4 oth | |
700 | 1 | |a Godschalk, Michael |e investigator |4 oth | |
700 | 1 | |a Ballas, Zuhair |e investigator |4 oth | |
700 | 1 | |a Smith, River |e investigator |4 oth | |
700 | 1 | |a Mastorides, Stephen |e investigator |4 oth | |
700 | 1 | |a Moorman, Jonathan |e investigator |4 oth | |
700 | 1 | |a Gappy, Saib |e investigator |4 oth | |
700 | 1 | |a Klein, Jon |e investigator |4 oth | |
700 | 1 | |a Ratcliffe, Nora |e investigator |4 oth | |
700 | 1 | |a Palacio, Ana |e investigator |4 oth | |
700 | 1 | |a Okusaga, Olaoluwa |e investigator |4 oth | |
700 | 1 | |a Murdoch, Maureen |e investigator |4 oth | |
700 | 1 | |a Sriram, Peruvemba |e investigator |4 oth | |
700 | 1 | |a Yeh, Shing Shing |e investigator |4 oth | |
700 | 1 | |a Tandon, Neeraj |e investigator |4 oth | |
700 | 1 | |a Jhala, Darshana |e investigator |4 oth | |
700 | 1 | |a Aguayo, Samuel |e investigator |4 oth | |
700 | 1 | |a Cohen, David |e investigator |4 oth | |
700 | 1 | |a Sharma, Satish |e investigator |4 oth | |
700 | 1 | |a Liangpunsakul, Suthat |e investigator |4 oth | |
700 | 1 | |a Oursler, Kris Ann |e investigator |4 oth | |
700 | 1 | |a Whooley, Mary |e investigator |4 oth | |
700 | 1 | |a Ahuja, Sunil |e investigator |4 oth | |
700 | 1 | |a Constans, Joseph |e investigator |4 oth | |
700 | 1 | |a Meyer, Paul |e investigator |4 oth | |
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700 | 1 | |a Rauchman, Michael |e investigator |4 oth | |
700 | 1 | |a Servatius, Richard |e investigator |4 oth | |
700 | 1 | |a Gaddy, Melinda |e investigator |4 oth | |
700 | 1 | |a Wallbom, Agnes |e investigator |4 oth | |
700 | 1 | |a Morgan, Timothy |e investigator |4 oth | |
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700 | 1 | |a Liang, Peter |e investigator |4 oth | |
700 | 1 | |a Fujii, Daryl |e investigator |4 oth | |
700 | 1 | |a Strollo, Patrick |e investigator |4 oth | |
700 | 1 | |a Boyko, Edward |e investigator |4 oth | |
700 | 1 | |a Walsh, Jessica |e investigator |4 oth | |
700 | 1 | |a Gupta, Samir |e investigator |4 oth | |
700 | 1 | |a Huq, Mostaqul |e investigator |4 oth | |
700 | 1 | |a Fayad, Joseph |e investigator |4 oth | |
700 | 1 | |a Hung, Adriana |e investigator |4 oth | |
700 | 1 | |a Lichy, Jack |e investigator |4 oth | |
700 | 1 | |a Hurley, Robin |e investigator |4 oth | |
700 | 1 | |a Robey, Brooks |e investigator |4 oth | |
700 | 1 | |a Balasubramanian, Prakash |e investigator |4 oth | |
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