| Download ( PDF | 1MB) | Lizenz: Creative Commons Namensnennung 4.0 International |
A joint view on genetic variants for adiposity differentiates subtypes with distinct metabolic implications
Winkler, Thomas W.
, Günther, Felix, Höllerer, Simon, Zimmermann, Martina
, Loos, Ruth J. F.
, Kutalik, Zoltán und Heid, Iris M.
(2018)
A joint view on genetic variants for adiposity differentiates subtypes with distinct metabolic implications.
Nature Communications 9 (1946), S. 1-13.
Veröffentlichungsdatum dieses Volltextes: 22 Apr 2021 13:59
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.37428
Zusammenfassung
The problem of the genetics of related phenotypes is often addressed by analyzing adjusted-model traits, but such traits warrant cautious interpretation. Here, we adopt a joint view of adiposity traits in similar to 322,154 subjects (GIANT consortium). We classify 159 signals associated with body mass index (BMI), waist-to-hip ratio (WHR), or WHR adjusted for BMI (WHRadjBMI) at P < 5 x 10(-8), ...
The problem of the genetics of related phenotypes is often addressed by analyzing adjusted-model traits, but such traits warrant cautious interpretation. Here, we adopt a joint view of adiposity traits in similar to 322,154 subjects (GIANT consortium). We classify 159 signals associated with body mass index (BMI), waist-to-hip ratio (WHR), or WHR adjusted for BMI (WHRadjBMI) at P < 5 x 10(-8), into four classes based on the direction of their effects on BMI and WHR. Our classes help differentiate adiposity genetics with respect to anthropometry, fat depots, and metabolic health. Class-specific Mendelian randomization reveals that variants associated with both WHR-decrease and BMI increase are linked to metabolically rather favorable adiposity through beneficial hip fat. Class-specific enrichment analyses implicate digestive systems as a pathway in adiposity genetics. Our results demonstrate that WHRadjBMI variants capture relevant effects of "unexpected fat distribution given the BMI" and that a joint view of the genetics underlying related phenotypes can inform on important biology.
Alternative Links zum Volltext
Beteiligte Einrichtungen
Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Nature Communications | ||||
| Verlag: | Nature | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | LONDON | ||||
| Band: | 9 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 1946 | ||||
| Seitenbereich: | S. 1-13 | ||||
| Datum | 16 Mai 2018 | ||||
| Institutionen | Medizin > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | GENOME-WIDE ASSOCIATION; BODY-MASS INDEX; FAT; TISSUE; RISK; ARCHITECTURE; METAANALYSIS; INSIGHTS; DISEASE; BIOLOGY; | ||||
| Dewey-Dezimal-Klassifikation | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-374281 | ||||
| Dokumenten-ID | 37428 |
Downloadstatistik
Downloadstatistik